Podcasts about LM

Play Episode Listen Later Jan 28, 2026 9:38

LM publica cómo el empleo público se ha disparado bajo el mandato de Pedro Sánchez en 523.600 personas.

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Power Scalers 8: A Pitbull With An Unfortunate Name

Play Episode Listen Later Jan 28, 2026 55:47

How are you naming your pitbull that. You know you can't be naming a pitbull that word. Come on with that nonsense. Join Spencer, Ty, and Andy as they decide once again who would win in a fight between King Von and Mort Rifkin. You know, normal discussions. Support us on Patreon for $5, $7, or $10: www.patreon.com/tgofv. TGOFV Theme by World Record Pace. A big shout-out to our $10/month patrons: Celeste, Yung Zoe, Dane Stephen, Weedworf, James Lloyd-Jones, Sam Thomas, Josh O'Brien, Kilo, David, Sam, T, Rach, Tomix, Adam W, L M, Revidicism, Jennifer Knowles, Jeremy-Alice, Louis Ceresa, Charles Doyle, Dean, Axon, Themandme, Raouldyke, Stephen Tucker, Lawrence, Rebecca Kimpel, Malek Douglas, Jacon Sauber-Cavazos, Bernventers, William Copping, NewmansOwn, Heather-Pleather, Bunknown, Dinosarden, Bedi, Francis Wolf, King Krang, Anthony C, ASDF, Buffoonworld, Bavbiff, D Love, and Tugboat!

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Prensa económica: Sánchez añade otros 5.000 millones más de deuda

Play Episode Listen Later Jan 26, 2026 5:35

LM publica cómo la deuda pública vuelve a crecer, sube en noviembre 5.071 millones de euros superando el 100% del PIB.

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Prensa económica: La ex número 3 de Puente culpaba a Peppa Pig y Patrulla Canina de menos mujeres en el sector

Latent Space: The AI Engineer Podcast â€” CodeGen, Agents, Computer Vision, Data Science, AI UX and all things Software 3.0

Play Episode Listen Later Jan 23, 2026 4:33

LM publican lo que decía Marta Serrano, que ocupó la Secretaría General de Transporte Terrestre entre 2023 y 2025.

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Captaining IMO Gold, Deep Think, On-Policy RL, Feeling the AGI in Singapore — Yi Tay 2

Play Episode Listen Later Jan 23, 2026 92:04

From shipping Gemini Deep Think and IMO Gold to launching the Reasoning and AGI team in Singapore, Yi Tay has spent the last 18 months living through the full arc of Google DeepMind's pivot from architecture research to RL-driven reasoning—watching his team go from a dozen researchers to 300+, training models that solve International Math Olympiad problems in a live competition, and building the infrastructure to scale deep thinking across every domain, and driving Gemini to the top of the leaderboards across every category. Yi Returns to dig into the inside story of the IMO effort and more! We discuss: Yi's path: Brain → Reka → Google DeepMind → Reasoning and AGI team Singapore, leading model training for Gemini Deep Think and IMO Gold The IMO Gold story: four co-captains (Yi in Singapore, Jonathan in London, Jordan in Mountain View, and Tong leading the overall effort), training the checkpoint in ~1 week, live competition in Australia with professors punching in problems as they came out, and the tension of not knowing if they'd hit Gold until the human scores came in (because the Gold threshold is a percentile, not a fixed number) Why they threw away AlphaProof: "If one model can't do it, can we get to AGI?" The decision to abandon symbolic systems and bet on end-to-end Gemini with RL was bold and non-consensus On-policy vs. off-policy RL: off-policy is imitation learning (copying someone else's trajectory), on-policy is the model generating its own outputs, getting rewarded, and training on its own experience—"humans learn by making mistakes, not by copying" Why self-consistency and parallel thinking are fundamental: sampling multiple times, majority voting, LM judges, and internal verification are all forms of self-consistency that unlock reasoning beyond single-shot inference The data efficiency frontier: humans learn from 8 orders of magnitude less data than models, so where's the bug? Is it the architecture, the learning algorithm, backprop, off-policyness, or something else? Three schools of thought on world models: (1) Genie/spatial intelligence (video-based world models), (2) Yann LeCun's JEPA + FAIR's code world models (modeling internal execution state), (3) the amorphous "resolution of possible worlds" paradigm (curve-fitting to find the world model that best explains the data) Why AI coding crossed the threshold: Yi now runs a job, gets a bug, pastes it into Gemini, and relaunches without even reading the fix—"the model is better than me at this" The Pokémon benchmark: can models complete Pokédex by searching the web, synthesizing guides, and applying knowledge in a visual game state? "Efficient search of novel idea space is interesting, but we're not even at the point where models can consistently apply knowledge they look up" DSI and generative retrieval: re-imagining search as predicting document identifiers with semantic tokens, now deployed at YouTube (symmetric IDs for RecSys) and Spotify Why RecSys and IR feel like a different universe: "modeling dynamics are strange, like gravity is different—you hit the shuttlecock and hear glass shatter, cause and effect are too far apart" The closed lab advantage is increasing: the gap between frontier labs and open source is growing because ideas compound over time, and researchers keep finding new tricks that play well with everything built before Why ideas still matter: "the last five years weren't just blind scaling—transformers, pre-training, RL, self-consistency, all had to play well together to get us here" Gemini Singapore: hiring for RL and reasoning researchers, looking for track record in RL or exceptional achievement in coding competitions, and building a small, talent-dense team close to the frontier — Yi Tay Google DeepMind: https://deepmind.google X: https://x.com/YiTayML Chapters 00:00:00 Introduction: Returning to Google DeepMind and the Singapore AGI Team 00:04:52 The Philosophy of On-Policy RL: Learning from Your Own Mistakes 00:12:00 IMO Gold Medal: The Journey from AlphaProof to End-to-End Gemini 00:21:33 Training IMO Cat: Four Captains Across Three Time Zones 00:26:19 Pokemon and Long-Horizon Reasoning: Beyond Academic Benchmarks 00:36:29 AI Coding Assistants: From Lazy to Actually Useful 00:32:59 Reasoning, Chain of Thought, and Latent Thinking 00:44:46 Is Attention All You Need? Architecture, Learning, and the Local Minima 00:55:04 Data Efficiency and World Models: The Next Frontier 01:08:12 DSI and Generative Retrieval: Reimagining Search with Semantic IDs 01:17:59 Building GDM Singapore: Geography, Talent, and the Symposium 01:24:18 Hiring Philosophy: High Stats, Research Taste, and Student Budgets 01:28:49 Health, HRV, and Research Performance: The 23kg Journey

403: Yellow Ferraris, Rainbow Specs & the White GTO

Auto Sausage

Play Episode Listen Later Jan 22, 2026 33:03

Record prices. Wild color combinations. And a white GTO that quietly told the real story. In this episode, I break down the Bachman Ferrari sale—why so many cars shattered records, why the boldest (and loudest) specs seemed to win, and what this means for the broader Ferrari market going forward. We talk about how extreme colors and one-off specifications are fueling a new wave of Tailor Made Ferraris, often with investment hopes attached, and why that strategy doesn't always end the way people expect. I also dig into the surprises: softness in cars like the Superamerica, Dinos, and Daytonas, the continued strength of Scuderia, Stradale, and Aperta models, and why the white Ferrari 330 LM / 250 GTO selling for $35 million wasn't as shocking as it looked—unless you weren't paying attention. Finally, I connect the dots to what this could mean for upcoming auctions, including RM Sotheby's Arizona, and why fundamentals still matter—even in a market that sometimes feels like a rainbow-painted Skittles car just crossed the block.

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January 2026 edition of The Postal Record

You Are The Current Resident: An NALC Podcast

Play Episode Listen Later Jan 22, 2026 237:46

Listen to the January 2026 edition of The Postal Record. Browse the digital issue here. 00:00 Introduction 00:14 Looking back and looking forward, by President Brian L. Renfroe 05:03 News from Washington 12:05 2025 JCAM is now available 18:58 Register now for the food drive 25:14 Informal Step A Training announced 30:25 After a year of standing strong NALC is ready to fight on. 2026: A look ahead 50:07 Leadership Academy founder asks grads to serve other letter carriers back home 58:26 Important benefits new letter carriers should expect to receive from USPS 01:11:22 Caretakers of the community 01:39:04 George Meany, first president of the AFL-CIO 01:44:30 NALC Branch Publication competition call for entries 01:50:07 Carriers and the mail make news online 01:56:31 From airwaves to the page: A creative journey and tribute to lifelong friends 02:04:00 Veterans' legislative update 02:16:56 Executive Vice President Paul Barner: An update to cases pending at the Interpretive step 02:27:38 Vice President James Henry: NALC Needs you 02:32:57 Secretary-Treasurer Nicole Rhine: Reporting to the DOL: Forms LM-2, LM-3 and LM-4 02:38:57 Assistant Secretary-Treasurer Mack Julion: Postal protection 02:44:33 Director of City Delivery Christopher Jackson: USPS pilot testing and additional revenue streams 02:49:48 Director of Safety and Health Manuel Peralta Jr.: Safety committees 02:56:45 Director of Retired Members Dan Toth: Roth TSP—Another tool to manage your taxes 03:02:49 Director of Life Insurance James Yates: MBA Retirement Savings Plan 2026 update 03:08:32 Director of Health Benefits Stephanie Stewart: New benefits and wellness programs 03:14:40 Contract Talk: Route inspections 03:36:41 Regional Workers' Compensation Assistant Coby Jones: Preexisting conditions 03:43:18 Staff report - CLUW: "Women of the World Unite'

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Debate of All Time 31: Blue Collar Vs White Collar

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Play Episode Listen Later Jan 21, 2026 57:28

That's right, folks. You thought TGOFV would never do class warfare? You simply don't know us well enough. Join Spencer, Ty, and Andy as they debate over which type of worker is the only good one to be: computer guy or construction site wolf-whistler. Support us on Patreon for $5, $7, or $10: www.patreon.com/tgofv. TGOFV Theme by World Record Pace. A big shout-out to our $10/month patrons: Celeste, Yung Zoe, Dane Stephen, Weedworf, James Lloyd-Jones, Sam Thomas, Josh O'Brien, Kilo, David, Sam, T, Rach, Tomix, Adam W, L M, Revidicism, Jennifer Knowles, Jeremy-Alice, Louis Ceresa, Charles Doyle, Dean, Axon, Themandme, Raouldyke, Stephen Tucker, Lawrence, Rebecca Kimpel, Malek Douglas, Jacon Sauber-Cavazos, Bernventers, William Copping, NewmansOwn, Heather-Pleather, Bunknown, Dinosarden, Bedi, Francis Wolf, King Krang, Anthony C, ASDF, Buffoonworld, Bavbiff, D Love, and Tugboat!

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The Phenomenon Of Parents Opting Out Of Birth Certificates For Their Kids | Midwife Lindsey Meehleis

POPlitics

Play Episode Listen Later Jan 20, 2026 67:10

Why are so many parents refusing to register birth certificates for their kids? The answer might shock you.

UK Awards 8.4 GW Offshore, US Allows Offshore Construction

Play Episode Listen Later Jan 20, 2026 33:01

Allen, Joel, Rosemary, and Yolanda cover major offshore wind developments on both sides of the Atlantic. In the US, Ørsted’s Revolution Wind won a court victory allowing construction to resume after the Trump administration’s suspension. Meanwhile, the UK awarded contracts for 8.4 gigawatts of new offshore capacity in the largest auction in European history, with RWE securing nearly 7 gigawatts. Plus Canada’s Nova Scotia announces ambitious 40 gigawatt offshore wind plans, and the crew discusses the ongoing Denmark-Greenland tensions with the US administration. Sign up now for Uptime Tech News, our weekly newsletter on all things wind technology. This episode is sponsored by Weather Guard Lightning Tech. Learn more about Weather Guard’s StrikeTape Wind Turbine LPS retrofit. Follow the show on YouTube, Linkedin and visit Weather Guard on the web. And subscribe to Rosemary’s “Engineering with Rosie” YouTube channel here. Have a question we can answer on the show? Email us! The Uptime Wind Energy Podcast brought to you by Strike Tape, protecting thousands of wind turbines from lightning damage worldwide. Visit strike tape.com. And now your hosts, Alan Hall, Rosemary Barnes, Joel Saxon and Yolanda Padron. Welcome to the Uptime Wind Energy Podcast. I’m Allen Hall, along with Yolanda, Joel and Rosie. Boy, a lot of action in the US courts. And as you know, for weeks, American offshore wind has been holding its breath and a lot of people’s jobs are at stake right now. The Trump administration suspended, uh, five major projects on December 22nd, and still they’re still citing national security concerns. Billions of dollars are really in balance here. Construction vessels for most of these. Sites are just doing nothing at the minute, but the courts are stepping in and Sted won a [00:01:00] key victory when the federal judge allowed its revolution wind project off the coast of Rhode Island to resume construction immediately. So everybody’s excited there and it does sound like Osted is trying to finish that project as fast as they can. And Ecuador and Dominion Energy, which are two of the other bigger projects, are fighting similar battles. Ecuador is supposed to hear in the next couple of days as we’re recording. Uh, but the message is pretty clear from developers. They have invested too much to walk away, and if they get an opportunity to wrap these projects up quickly. They are going to do it now. Joel, before the show, we were talking about vineyard wind and vineyard. Wind was on hold, and I think it, it may not even be on hold right now, I have to go back and look. But when they were put on hold, uh, the question was, the turbines that were operating, were they able to continue operating? And the answer initially I thought was no. But it was yes, the, the turbines that were [00:02:00] producing power. We’re allowed to continue to produce powers. What was in the balance were the remaining turbines that were still being installed or, uh, being upgraded. So there’s, there’s a lot going on right now, but it does seem like, and back to your earlier point, Joel, before we start talking and maybe you can discuss this, we, there is an offshore wind farm called Block Island really closely all these other wind farms, and it’s been there for four or five years at this point. No one’s said anything about that wind farm. Speaker: I think it’s been there, to be honest with you, since like 2016 or 17. It’s been there a long time. Is it that old? Yeah, yeah, yeah, yeah. So when we were talk, when we’ve been talking through and it gets lost in the shuffle and it shouldn’t, because that’s really the first offshore wind farm in the United States. We keep talking about all these big, you know, utility scale massive things, but that is a utility scale wind farm as well. There’s fi, correct me if I’m wrong, Yolanda, is it five turbos or six? It’s five. Their decent sized turbines are sitting on jackets. They’re just, uh, they’re, they’re only a couple miles offshore. They’re not way offshore. But throughout all of these issues that we’ve had, um, with [00:03:00] these injunctions and stopping construction and stopping this and reviewing permits and all these things, block Island has just been spinning, producing power, uh, for the locals there off the coast of Rhode Island. So we. What were our, the question was is, okay, all these other wind farms that are partially constructed, have they been spinning? Are they producing power? And my mind goes to this, um, as a risk reduction effort. I wonder if, uh, the cable, if the cable lay timelines were what they were. Right. So would you now, I guess as a risk reduction effort, and this seems really silly to have to think about this. If you have your offshore substation, was the, was the main export cable connected to some of these like revolution wind where they have the injunction right now? Was that export cable connected and were the inter array cables regularly connected to turbines and them coming online? Do, do, do, do, do. Like, it wasn’t like a COD, we turned the switch and we had to wait for all 62 turbines. Right. So to our [00:04:00] knowledge and, and, uh, please reach out to any of us on LinkedIn or an email or whatever to our knowledge. The turbines that are in production have still have been spinning. It’s the construction activities that have been stopped, but now. Hey, revolution wind is 90% complete and they’re back out and running, uh, on construction activities as of today. Speaker 2: It was in the last 48 hours. So this, this is a good sign because I think as the other wind farms go through the courts, they’re gonna essentially run through this, this same judge I that. Tends to happen because they have done all the research already. So you, you likely get the same outcome for all the other wind farms, although they have to go through the process. You can’t do like a class action, at least that’s doesn’t appear to be in play at the minute. Uh, they’re all gonna have to go through this little bit of a process. But what the judge is saying essentially is the concern from the Department of War, and then the Department of Interior is. [00:05:00] Make believe. I, I don’t wanna frame it. It’s not framed that way, the way it’s written. There’s a lot more legalistic terms about it. But it basically, they’re saying they tried to stop it before they didn’t get the result they wanted. The Trump administration didn’t get the result they wanted. So the Trump administration ramped it up by saying it was something that was classified in, in part of the Department of War. The judge isn’t buying it. So the, the, the early action. I think what we initially talked about this, everybody, I think the early feeling was they’re trying to stop it, but the fact that they’re trying to stop it just because, and just start pulling permits is not gonna stand outta the court. And when they want to come back and do it again, they’re not likely to win. If they would. Kept their ammunition dry and just from the beginning said it’s something classified as something defense related that Trump administration probably would’ve had a better shot at this. But now it just seems like everything’s just gonna lead down the pathway where all these projects get finished. Speaker: Yeah, I think that specific judge probably was listening to the [00:06:00] Uptime podcast last week for his research. Um, listen to, to our opinions that we talked about here, saying that this is kind of all bs. It’s not gonna fly. Uh, but what we’re sitting at here is like Revolution Wind was, had the injunction against it. Uh, empire Wind had an injunction again, but they were awaiting a similar ruling. So hopefully that’s actually supposed to go down today. That’s Wednesday. Uh, this is, so we’re recording this on Wednesday. Um, and then Dominion is, has, is suing as well, and their, uh, hearing is on Friday. In two, two days from now. And I would expect, I mean, it’s the same, same judge, same piece of papers, like it’s going to be the same result. Some numbers to throw at this thing. Now, just so the listeners know the impact of this, uh, dominion for the Coastal Virginia Offshore Wind Project, they say that their pause in construction is costing them $5 million a day, and that is. That’s a pretty round number. It’s a conservative number to be honest with you. For officer operations, how many vessels and how much stuff is out there? That makes sense. Yep. [00:07:00] 5 million. So $5 million a day. And that’s one of the wind farms. Uh, coastal, Virginia Wind Farm is an $11 billion project. With, uh, it’s like 176 turbines. I think something to that, like it’s, it’s got enough power, it’s gonna have enough production out there to power up, like, uh, like 650,000 homes when it’s done. So there’s five projects suspended right now. I’m continuing with the numbers. Um, well, five, there’s four now. Revolution’s back running, right? So five and there’s four. Uh, four still stopped. And of those five is 28. Billion dollars in combined capital at risk, right? So you can understand why some of these companies are worried, right? They’re this is, this is not peanuts. Um, so you saw a little bump in like Ted stock in the markets when this, this, uh, revolution wind, uh, injunction was stopped. Uh, but. You also see that, uh, Moody’s is a credit [00:08:00] rating. They’ve lowered ORs, Ted’s um, rating from stable to negative, given that political risk. Speaker 2: Well, if you haven’t been paying attention, wind energy O and m Australia 2026 is happening relatively soon. It’s gonna be February 17th and 18th. It’s gonna be at the Pullman Hotel downtown Melbourne. And we are all looking forward to it. The, the roster and the agenda is, is nearly assembled at this point. Uh, we have a, a couple of last minute speakers, but uh, I’m looking at the agenda and like, wow, if you work in o and m or even are around wind turbines, this is the place to be in February. From my Speaker: seat. It’s pretty, it’s, it’s, it’s shaping up for pretty fun. My phone has just been inundated with text message and WhatsApp of when are you traveling? What are your dates looking forward to, and I wanna say this right, Rosie. Looking forward to Melvin. Did I get it? Did I do it okay. Speaker 3: You know how to say it. Speaker: So, so we’re, we’re really looking forward to, we’ve got a bunch of people traveling from around the [00:09:00] world, uh, to come and share their collective knowledge, uh, and learn from the Australians about how they’re doing things, what the, what the risks are, what the problems are, uh, really looking forward to the environment down there, like we had last year was very. Collaborative, the conversations are flowing. Um, so we’re looking forward to it, uh, in a big way from our seats. Over here, Speaker 2: we are announcing a lightning workshop, and that workshop will be answering all your lightning questions in regards to your turbines Now. Typically when we do this, it’s about $10,000 per seat, and this will be free as part of WMA 2026. We’re gonna talk about some of the lightning physics, what’s actually happening in the field versus what the OEMs are saying and what the IEC specification indicates. And the big one is force majeure. A lot of operators are paying for damages that are well within the IEC specification, and we’ll explain.[00:10:00] What that is all about and what you can do to save yourself literally millions of dollars. But that is only possible if you go to Woma 2020 six.com and register today because we’re running outta seats. Once they’re gone, they’re gone. But this is a great opportunity to get your lightning questions answered. And Rosemary promised me that we’re gonna talk about Vestus turbines. Siemens turbines. GE Renova turbines. Nordex turbines. So if you have Nordex turbines, Sulan turbines, bring the turbine. Type, we’ll talk about it. We’ll get your questions answered, and the goal is that everybody at at Wilma 2026 is gonna go home and save themselves millions of dollars in 26 and millions of dollars in 27 and all the years after, because this Lightning workshop is going to take care of those really frustrating lightning questions that just don’t get answered. We’re gonna do it right there. Sign up today. Speaker 3: [00:11:00] You know what, I’m really looking forward to that session and especially ’cause I’ve got a couple of new staff or new-ish staff at, it’s a great way to get them up to speed on lightning. And I think that actually like the majority of people, even if you are struggling with lightning problems every day, I bet that there is a whole bunch that you could learn about the underlying physics of lightning. And there’s not so many places to find that in the world. I have looked, um, for my staff training, where is the course that I can send them to, to understand all about lightning? I know when I started atm, I had a, an intro session, one-on-one with the, you know, chief Lightning guy there. That’s not so easy to come by, and this is the opportunity where you can get that and better because it’s information about every, every OEM and a bit of a better understanding about how it works so that you can, you know, one of the things that I find working with Lightning is a lot of force MA mature claims. And then, um, the OEMs, they try and bamboozle you with this like scientific sounding talk. If you understand better, then you’ll be able to do better in those discussions. [00:12:00] So I would highly recommend attending if you can swing the Monday as well. Speaker: If you wanna attend now and you’re coming to the events. Reach out to, you can reach out to me directly because what we want to do now is collect, uh, as much information as possible about the specific turbine types of the, that the people in the room are gonna be responsible for. So we can tailor those messages, um, to help you out directly. So feel free to reach out to me, joel.saxo, SAXU m@wglightning.com and uh, we’ll be squared away and ready to roll on Monday. I think that’s Monday the 16th. Speaker 2: So while American offshore wind fights for survival in the courts, British offshore wind just had its biggest day ever. The United Kingdom awarded contracts for 8.4 gigawatts. That’s right. 8.4 gigawatts of new offshore wind capacity, the largest auction in European history. Holy smokes guys. The price came in at about 91 pounds per megawatt hour, and that’s 2024 pounds. [00:13:00] Uh, and that’s roughly 40% cheaper than building a new. Gas plant Energy Secretary Ed Milliband called it a monumental step towards the country’s 2030 clean power goals and that it is, uh, critics say that prices are still higher than previous auctions, and one that the government faces challenges connecting all this new capacity to the grid, and they do, uh, transmission is a limiting factor here, but in terms of where the UK is headed. Putting in gigawatts of offshore wind is going to disconnect them from a lot of need on the gas supply and other energy sources. It’s a massive auction round. This was way above what I remember being, uh. Talked about when we were in Scotland just a couple of weeks ago, Joel. Speaker: Yeah, that’s what I was gonna say. You know, when we were, when we were up with the, or E Catapult event, and we talked to a lot of the different organizations of their OWGP and um, you know, the course, the or e Catapult folks and, and, and a [00:14:00] few others, they were really excited about AR seven. They were like, oh, we’re, we’re so excited. It’s gonna come down, it’s gonna be great. I didn’t expect these kind of numbers to come out of this thing. Right? ’cause we know that, um, they’ve got about, uh, the UK currently has about. 16 and a half or so gigawatts of offshore wind capacity, um, with, you know, they got a bunch under construction, it’s like 11 under construction, but their goal is to have 43 gigawatts by 2030. So, Speaker 2: man. Speaker: Yeah. And, and when 2030, put this into Conte Con context now. This is one of our first podcasts of the new year. That’s only four years away. Right. It’s soon. And, and to, to be able to do that. So you’re saying they got 16, they go some round numbers. They got 16 now. Pro producing 11 in the pipe, 11 being constructed. So get that to 27. That’s another 16 gigawatts of wind. They want, they that are not under construction today that they want to have completed in the next four years. That is a monumental effort now. We know that there’s some grid grid complications and connection [00:15:00] requirements and things that will slow that down, but just thinking about remove the grid idea, just thinking about the amount of effort to get those kind of large capital projects done in that short of timeline. Kudos to the UK ’cause they’re unlocking a lot of, um, a lot of private investment, a lot of effort to get these things, but they’re literally doing the inverse of what we’re doing in the United States right now. Speaker 2: There would be about a total of 550, 615 ish megawatt turbines in the water. That does seem doable though. The big question is who’s gonna be providing those turbines? That’s a. Massive order. Whoever the salesperson is involved in that transaction is gonna be very happy. Well, the interesting thing here Speaker: too is the global context of assets to be able to deliver this. We just got done talking about the troubles at these wind farms in the United States. As soon as these. Wind farms are finished. There’s not more of them coming to construction phase shortly, right? So all of these assets, all these jack up vessels, these installation vessels, these specialized cable lay vessels, they [00:16:00]can, they can fuel up and freaking head right across, back across the Atlantic and start working on these things. If the pre all of the engineering and, and the turbine deliveries are ready to roll the vessels, uh, ’cause that you, that, you know, two years ago that was a problem. We were all. Forecasting. Oh, we have this forecasted problem of a shortage of vessels and assets to be able to do installs. And now with the US kind of, basically, once we’re done with the wind farms, we’re working on offshore, now we’re shutting it down. It frees those back up, right? So the vessels will be there, be ready to roll. You’ll have people coming off of construction projects that know what’s going on, right? That, that know how to, to work these things. So the, the people, the vessels that will be ready to roll it is just, can we get the cables, the mono piles, the turbines and the cells, the blades, all done in time, uh, to make this happen And, and. I know I’m rambling now, but after leaving that or e Catapult event and talking to some of the people, um, that are supporting those [00:17:00] funds over there, uh, being injected from the, uh, the government, I think that they’ve got Speaker 2: the, the money flowing over there to get it done too. The big winner in the auction round was RWE and they. Almost seven gigawatts. So that was a larger share of the 8.4 gigawatts. RWE obviously has a relationship with Vestus. Is that where this is gonna go? They’re gonna be, uh, installing vestus turbines. And where were those tur turbines? As I was informed by Scottish gentlemen, I won’t name names. Uh, will those turbines be built in the uk? Speaker 3: It’s a lot. It’s a, it’s one of the biggest challenges with, um, the supply chain for wind energy is that it just is so lumpy. So, you know, you get, um, uh. You get huge eight gigawatts all at once and then you have years of, you know, just not much. Not much, not much going on. I mean, for sure they’re not gonna be just building [00:18:00] eight gigawatts worth of, um, wind turbines in the UK in the next couple of years because they would also have to build the capacity to manufacture that and, and then would wanna be building cocks every couple of years for, you know, the next 10 or 20 years. So, yeah, of course they’re gonna be manufacturing. At facilities around the world and, and transporting them. But, um, yeah, I just, I don’t know. It’s one of the things that I just. Constantly shake my head about is like, how come, especially when projects are government supported, when plans are government supported, why, why can’t we do a better job of smoothing things out so that you can have, you know, for example, local manufacturing because everyone knows that they’ve got a secure pipeline. It’s just when the government’s involved, it should be possible. Speaker 2: At least the UK has been putting forth some. Pretty big numbers to support a local supply chain. When we were over in Scotland, they announced 300 million pounds, and that was just one of several. That’s gonna happen over the next year. There will be a [00:19:00] near a billion pounds be put into the supply chain, which will make a dramatic difference. But I think you’re right. Also, it’s, they’re gonna ramp up and then they, it’s gonna ramp down. They have to find a way to feed the global marketplace at some point, be because the technology and the people are there. It’s a question of. How do you sustain it for a 20, 30 year period? That’s a different question. Speaker 3: I do agree that the UK is doing a better job than probably anybody else. Um, it it’s just that they, the way that they have chosen to organize these auctions and the government support and the planning just means that they have that, that this is the perfect conditions to, you know. Make a smooth rollout and you know, take care of all this. And so I just a bit frustrated that they’re not doing more. But you are right that they’re doing the best probably Speaker 4: once all of these are in service though, aren’t there quite a bit of aftermarket products that are available in the UK Speaker: on the service then? I think there’s more. Speaker 4: Which, I mean, that’s good. A good part of it, right? Speaker: If we’re talking Vestas, so, so let’s just round this [00:20:00] up too. If we’re talking vest’s production for blades in Europe, you have two facilities in Denmark that build V 2 36 blades. You have one facility in Italy that builds V 2 36 blades, Taiwan, but they build them for the APAC market. Of course. Um, Poland had a, has one on hold right now, V 2 36 as well. Well, they just bought that factory from LM up in Poland also. That’s, but I think that’s for onshore term, onshore blades. Oh, yes, sure. And then Scotland has, they have the proposed facility in, in Laith. That there, that’s kind of on hold as well. So if that one’s proposed, I’m sure, hey, if we get a big order, they’ll spin that up quick because they’ll get, I am, I would imagine someone o you know, one of the, one of the funds to spool up a little bit of money, boom, boom, boom. ’cause they’re turning into local jobs. Local supply Speaker 2: chain does this then create the condition where a lot of wind turbines, like when we were in Scotland, a lot of those wind turbines are. Gonna reach 20 years old, maybe a little bit older here over the next five years where they will [00:21:00] need to be repowered upgraded, whatever’s gonna happen there. If you had internal manufacturing. In country that would, you’d think lower the price to go do that. That will be a big effort just like it is in Spain right now. Speaker: The trouble there though too, is if you’re using local content in, in the uk, the labor prices are so much Speaker 2: higher. I’m gonna go back to Rosie’s point about sort of the way energy is sold worldwide. UK has high energy prices, mostly because they are buying energy from other countries and it’s expensive to get it in country. So yes, they can have higher labor prices and still be lower cost compared to the alternatives. It, it’s not the same equation in the US versus uk. It’s, it’s totally different economics, but. If they get enough power generation, which I think the UK will, they’re gonna offload that and they’re already doing it now. So you can send power to France, send power up [00:22:00] north. There’s ways to sell that extra power and help pay for the system you built. That would make a a lot of sense. It’s very similar to what the Saudis have done for. Dang near 80 years, which is fill tankers full of oil and sell it. This is a little bit different that we’re just sending electrons through the water to adjacent European countries. It does seem like a plan. I hope they’re sending ’em through a cable in the water and not just into the water. Well, here’s the thing that was concerning early on. They’re gonna turn it into hydrogen and put it on a ship and send it over to France. Like that didn’t make any sense at all. Uh. Cable’s on the way to do it. Right. Speaker: And actually, Alan, you and I did have a conversation with someone not too long ago about that triage market and how the project where they put that, that that trans, that HVDC cable next to the tunnel it, and it made and it like paid for itself in a year or something. Was that like, that they didn’t wanna really tell us like, yeah, it paid for itself in a year. Like it was a, the ROI was like on a, like a $500 million [00:23:00]project or something. That’s crazy. Um, but yeah, that’s the same. That’s, that is, I would say part of the big push in the uk there is, uh, then they can triage that power and send it, send it back across. Um, like I think Nord Link is the, the cable between Peterhead and Norway, right? So you have, you have a triage market going across to the Scandinavian countries. You have the triage market going to mainland eu. Um, and in when they have big time wind, they’re gonna be able to do it. So when you have an RWE. Looking at seven gigawatts of, uh, possibility that they just, uh, just procured. Game on. I love it. I think it’s gonna be cool. I’m, I’m happy to see it blow Speaker 2: up. Canada is getting serious about offshore wind and international developers are paying attention. Q Energy, France and its South Korean partner. Hawa Ocean have submitted applications to develop wind projects off Nova Scotia’s Coast. The province has big ambitions. Premier, Tim Houston wants to license enough. Offshore [00:24:00] wind to produce 40 gigawatts of power far more than Nova Scotia would ever need. Uh, the extra electricity could supply more than a quarter of Canada’s total demand. If all goes according to plan, the first turbines could be spinning by 2035. Now, Joel. Yeah, some of this power will go to Canada, but there’s a huge market in the United States also for this power and the capacity factor up in Nova Scotia offshore is really good. Yeah. It’s uh, it Speaker: is simply, it’s stellar, right? Uh, that whole No, Nova Scotia, new Brunswick, Newfoundland, that whole e even Maritimes of Canada. The wind, the wind never stops blowing, right? Like I, I go up there every once in a while ’cause my wife is from up there and, uh, it’s miserable sometimes even in the middle of summer. Um, so the, the wind resource is fantastic. The, it, it is a boom or will be a boom for the Canadian market, right? There’re always [00:25:00] that maritime community, they’re always looking for, for, uh, new jobs. New jobs, new jobs. And this is gonna bring them to them. Um, one thing I wanna flag here is when I know this, when this announcement came out. And I reached out to Tim Houston’s office to try to get him on the podcast, and I haven’t gotten a response yet. Nova Scotia. So if someone that’s listening can get ahold of Tim Houston, we’d love to talk to him about the plans for Nova Scotia. Um, but, but we see that just like we see over overseas, the triage market of we’re making power, we can sell it. You know, we balance out the prices, we can sell it to other places. From our seats here we’ve been talking about. The electricity demand on the east coast of the United States for, for years and how it is just climbing, climbing, climbing, especially AI data centers. Virginia is a hub of this, right? They need power and we’re shooting ourselves in the foot, foot for offshore wind, plus also canceling pipelines and like there’s no extra generation going on there except for some solar plants where you can squeeze ’em in down in the Carolinas and whatnot. [00:26:00] There is a massive play here for the Canadians to be able to HVD see some power down to us. Speaker 2: The offshore conditions off the coast of Nova Scotia are pretty rough, and the capacity factor being so high makes me think of some of the Brazilian wind farms where the capacity factor is over 50%. It’s amazing down there, but one of the outcomes of that has been early turbine problems. And I’m wondering if the Nova Scotia market is going to demand a different kind of turbine that is specifically built for those conditions. It’s cold, really cold. It’s really windy. There’s a lot of moisture in the air, right? So the salt is gonna be bad. Uh, and then the sea life too, right? There’s a lot of, uh, sea life off the coast of the Nova Scotia, which everybody’s gonna be concerned about. Obviously, as this gets rolling. How do we think about this? And who’s gonna be the manufacturer of turbines for Canada? Is it gonna be Nordics? Well, Speaker: let’s start from the ground up there. So from the or ground up, it’s, how about sea [00:27:00] floor up? Let’s start from there. There is a lot of really, really, if you’ve ever worked in the offshore world, the o offshore, maritime Canadian universities that focus on the, on offshore construction, they produce some of the best engineers for those markets, right? So if you go down to Houston, Texas where there’s offshore oil and gas companies and engineering companies everywhere, you run into Canadians from the Maritimes all over the place ’cause they’re really good at what they do. Um, they are developing or they have developed offshore oil and gas platforms. Off of the coast of Newfoundland and up, up in that area. And there’s some crazy stuff you have to compete with, right? So you have icebergs up there. There’s no icebergs in the North Atlantic that like, you know, horn seats, internet cruising through horn C3 with icebergs. So they’ve, they’ve engineered and created foundations and things that can deal with that, those situations up there. But you also have to remember that you’re in the Canadian Shield, which is, um, the Canadian Shield is a geotechnical formation, right? So it’s very rocky. Um, and it’s not [00:28:00] like, uh, the other places where we’re putting fixed bottom wind in where you just pound the piles into the sand. That’s not how it’s going to go, uh, up in Canada there. So there’s some different engineering that’s going to have to take place for the foundations, but like you said, Alan Turbine specific. It blows up there. Right. And we have seen onshore, even in the United States, when you get to areas that have high capacity burning out main bearings, burning out generators prematurely because the capacity factor is so high and those turbines are just churning. Um, I, I don’t know if any of the offshore wind turbine manufacturers are adjusting any designs specifically for any markets. I, I just don’t know that. Um, but they may run into some. Some tough stuff up there, right? You might run into some, some overspeeding main bearings and some maintenance issues, specifically in the wintertime ’cause it is nasty up there. Speaker 2: Well, if you have 40 gigawatts of capacity, you have several thousand turbines, you wanna make sure really [00:29:00] sure that the blade design is right, that the gearbox is right if you have a gearbox, and that everything is essentially over-designed, heated. You can have deicing systems on it, I would assume that would be something you would be thinking about. You do the same thing for the monopoles. The whole assembly’s gotta be, have a, just a different thought process than a turbine. You would stick off the coast of Germany. Still rough conditions at times, but not like Nova Scotia. Speaker: One, one other thing there to think about too that we haven’t dealt with, um. In such extreme levels is the, the off the coast of No. Nova Scotia is the Bay of Fundee. If you know anything about the Bay of Fundee, it is the highest tide swings in the world. So the tide swings at certain times of the year, can be upwards of 10 meters in a 12 hour period in this area of, of the ocean. And that comes with it. Different time, different types of, um, one of the difficult things for tide swings is it creates subsid currents. [00:30:00] Subsid currents are, are really, really, really bad, nasty. Against rocks and for any kind of cable lay activities and longevity of cable lay scour protection around turbines and stuff like that. So that’s another thing that subsea that we really haven’t spoke about. Speaker 3: You know, I knew when you say Bay Bay of funding, I’m like, I know that I have heard that place before and it’s when I was researching for. Tidal power videos for Tidal Stream. It’s like the best place to, to generate electricity from. Yeah, from Tidal Stream. So I guess if you are gonna be whacking wind turbines in there anyway, maybe you can share some infrastructure and Yeah. Eca a little bit, a little bit more from your, your project. Speaker 2: that wraps up another episode of the Uptime Wind Energy Podcast. If today’s discussion sparked any questions or ideas. We’d love to hear from you. Just reach out to us on LinkedIn and don’t forget to subscribe so you never miss an episode. And if you found value in today’s conversation, please leave us a review. It really helps other wind energy professionals discover the show For Rosie, Yolanda and Joel, I’m Alan Hall, and we’ll see you here next week on the Uptime [00:36:00] Wind Energy Podcast.

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Lethal Mullet Podcast #300: Chatting Eighties with Dee Tails

Fandom Podcast Network

Play Episode Listen Later Jan 14, 2026 100:27

Lethal Mullet Podcast #300: Chatting Eighties with Dee Tails

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TGOFV Goes to College

Latent Space: The AI Engineer Podcast â€” CodeGen, Agents, Computer Vision, Data Science, AI UX and all things Software 3.0

Play Episode Listen Later Jan 14, 2026 64:16

Remember those good old days, at [INSERT ALMA MATER]? Good times, good times. Join Spencer, Ty, and Andy as they reminisce about their college experiences, and the scholastic opportunities that shaped them into who they are today. Support us on Patreon for $5, $7, or $10: www.patreon.com/tgofv. TGOFV Theme by World Record Pace. A big shout-out to our $10/month patrons: Abbie Phelps, Adam W, Anthony Cabrera, asdf, Axon, Baylor Thornton, Bedi, bernventers, bunknown, Celeste, Charles Doyle, Dane Stephen, Dave Finlay, David Gebhardt, Dean, Francis Wolf, Heather-Pleather, Jacob Sauber-Cavazos, James Lloyd-Jones, Jennifer Knowles, Jeremy-Alice, Josh O'Brien, Kilo, LM, Lawrence, Louis Ceresa, Malek Douglas, Newmans Own, Packocamels, Phat Ass Cyberman, Rach, raouldyke, Rebecca Kimpel, revidicism, Sam Thomas, T, Tash Diehart, Themandme, Tomix, weedworf, William Copping, and Yung Zoe!

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Artificial Analysis: Independent LLM Evals as a Service — with George Cameron and Micah-Hill Smith

Play Episode Listen Later Jan 8, 2026 78:24

Happy New Year! You may have noticed that in 2025 we had moved toward YouTube as our primary podcasting platform. As we'll explain in the next State of Latent Space post, we'll be doubling down on Substack again and improving the experience for the over 100,000 of you who look out for our emails and website updates!We first mentioned Artificial Analysis in 2024, when it was still a side project in a Sydney basement. They then were one of the few Nat Friedman and Daniel Gross' AIGrant companies to raise a full seed round from them and have now become the independent gold standard for AI benchmarking—trusted by developers, enterprises, and every major lab to navigate the exploding landscape of models, providers, and capabilities.We have chatted with both Clementine Fourrier of HuggingFace's OpenLLM Leaderboard and (the freshly valued at $1.7B) Anastasios Angelopoulos of LMArena on their approaches to LLM evals and trendspotting, but Artificial Analysis have staked out an enduring and important place in the toolkit of the modern AI Engineer by doing the best job of independently running the most comprehensive set of evals across the widest range of open and closed models, and charting their progress for broad industry analyst use.George Cameron and Micah-Hill Smith have spent two years building Artificial Analysis into the platform that answers the questions no one else will: Which model is actually best for your use case? What are the real speed-cost trade-offs? And how open is “open” really?We discuss:* The origin story: built as a side project in 2023 while Micah was building a legal AI assistant, launched publicly in January 2024, and went viral after Swyx's retweet* Why they run evals themselves: labs prompt models differently, cherry-pick chain-of-thought examples (Google Gemini 1.0 Ultra used 32-shot prompts to beat GPT-4 on MMLU), and self-report inflated numbers* The mystery shopper policy: they register accounts not on their own domain and run intelligence + performance benchmarks incognito to prevent labs from serving different models on private endpoints* How they make money: enterprise benchmarking insights subscription (standardized reports on model deployment, serverless vs. managed vs. leasing chips) and private custom benchmarking for AI companies (no one pays to be on the public leaderboard)* The Intelligence Index (V3): synthesizes 10 eval datasets (MMLU, GPQA, agentic benchmarks, long-context reasoning) into a single score, with 95% confidence intervals via repeated runs* Omissions Index (hallucination rate): scores models from -100 to +100 (penalizing incorrect answers, rewarding ”I don't know”), and Claude models lead with the lowest hallucination rates despite not always being the smartest* GDP Val AA: their version of OpenAI's GDP-bench (44 white-collar tasks with spreadsheets, PDFs, PowerPoints), run through their Stirrup agent harness (up to 100 turns, code execution, web search, file system), graded by Gemini 3 Pro as an LLM judge (tested extensively, no self-preference bias)* The Openness Index: scores models 0-18 on transparency of pre-training data, post-training data, methodology, training code, and licensing (AI2 OLMo 2 leads, followed by Nous Hermes and NVIDIA Nemotron)* The smiling curve of AI costs: GPT-4-level intelligence is 100-1000x cheaper than at launch (thanks to smaller models like Amazon Nova), but frontier reasoning models in agentic workflows cost more than ever (sparsity, long context, multi-turn agents)* Why sparsity might go way lower than 5%: GPT-4.5 is ~5% active, Gemini models might be ~3%, and Omissions Index accuracy correlates with total parameters (not active), suggesting massive sparse models are the future* Token efficiency vs. turn efficiency: GPT-5 costs more per token but solves Tau-bench in fewer turns (cheaper overall), and models are getting better at using more tokens only when needed (5.1 Codex has tighter token distributions)* V4 of the Intelligence Index coming soon: adding GDP Val AA, Critical Point, hallucination rate, and dropping some saturated benchmarks (human-eval-style coding is now trivial for small models)Links to Artificial Analysis* Website: https://artificialanalysis.ai* George Cameron on X: https://x.com/georgecameron* Micah-Hill Smith on X: https://x.com/micahhsmithFull Episode on YouTubeTimestamps* 00:00 Introduction: Full Circle Moment and Artificial Analysis Origins* 01:19 Business Model: Independence and Revenue Streams* 04:33 Origin Story: From Legal AI to Benchmarking Need* 16:22 AI Grant and Moving to San Francisco* 19:21 Intelligence Index Evolution: From V1 to V3* 11:47 Benchmarking Challenges: Variance, Contamination, and Methodology* 13:52 Mystery Shopper Policy and Maintaining Independence* 28:01 New Benchmarks: Omissions Index for Hallucination Detection* 33:36 Critical Point: Hard Physics Problems and Research-Level Reasoning* 23:01 GDP Val AA: Agentic Benchmark for Real Work Tasks* 50:19 Stirrup Agent Harness: Open Source Agentic Framework* 52:43 Openness Index: Measuring Model Transparency Beyond Licenses* 58:25 The Smiling Curve: Cost Falling While Spend Rising* 1:02:32 Hardware Efficiency: Blackwell Gains and Sparsity Limits* 1:06:23 Reasoning Models and Token Efficiency: The Spectrum Emerges* 1:11:00 Multimodal Benchmarking: Image, Video, and Speech Arenas* 1:15:05 Looking Ahead: Intelligence Index V4 and Future Directions* 1:16:50 Closing: The Insatiable Demand for IntelligenceTranscriptMicah [00:00:06]: This is kind of a full circle moment for us in a way, because the first time artificial analysis got mentioned on a podcast was you and Alessio on Latent Space. Amazing.swyx [00:00:17]: Which was January 2024. I don't even remember doing that, but yeah, it was very influential to me. Yeah, I'm looking at AI News for Jan 17, or Jan 16, 2024. I said, this gem of a models and host comparison site was just launched. And then I put in a few screenshots, and I said, it's an independent third party. It clearly outlines the quality versus throughput trade-off, and it breaks out by model and hosting provider. I did give you s**t for missing fireworks, and how do you have a model benchmarking thing without fireworks? But you had together, you had perplexity, and I think we just started chatting there. Welcome, George and Micah, to Latent Space. I've been following your progress. Congrats on... It's been an amazing year. You guys have really come together to be the presumptive new gardener of AI, right? Which is something that...George [00:01:09]: Yeah, but you can't pay us for better results.swyx [00:01:12]: Yes, exactly.George [00:01:13]: Very important.Micah [00:01:14]: Start off with a spicy take.swyx [00:01:18]: Okay, how do I pay you?Micah [00:01:20]: Let's get right into that.swyx [00:01:21]: How do you make money?Micah [00:01:24]: Well, very happy to talk about that. So it's been a big journey the last couple of years. Artificial analysis is going to be two years old in January 2026. Which is pretty soon now. We first run the website for free, obviously, and give away a ton of data to help developers and companies navigate AI and make decisions about models, providers, technologies across the AI stack for building stuff. We're very committed to doing that and tend to keep doing that. We have, along the way, built a business that is working out pretty sustainably. We've got just over 20 people now and two main customer groups. So we want to be... We want to be who enterprise look to for data and insights on AI, so we want to help them with their decisions about models and technologies for building stuff. And then on the other side, we do private benchmarking for companies throughout the AI stack who build AI stuff. So no one pays to be on the website. We've been very clear about that from the very start because there's no use doing what we do unless it's independent AI benchmarking. Yeah. But turns out a bunch of our stuff can be pretty useful to companies building AI stuff.swyx [00:02:38]: And is it like, I am a Fortune 500, I need advisors on objective analysis, and I call you guys and you pull up a custom report for me, you come into my office and give me a workshop? What kind of engagement is that?George [00:02:53]: So we have a benchmarking and insight subscription, which looks like standardized reports that cover key topics or key challenges enterprises face when looking to understand AI and choose between all the technologies. And so, for instance, one of the report is a model deployment report, how to think about choosing between serverless inference, managed deployment solutions, or leasing chips. And running inference yourself is an example kind of decision that big enterprises face, and it's hard to reason through, like this AI stuff is really new to everybody. And so we try and help with our reports and insight subscription. Companies navigate that. We also do custom private benchmarking. And so that's very different from the public benchmarking that we publicize, and there's no commercial model around that. For private benchmarking, we'll at times create benchmarks, run benchmarks to specs that enterprises want. And we'll also do that sometimes for AI companies who have built things, and we help them understand what they've built with private benchmarking. Yeah. So that's a piece mainly that we've developed through trying to support everybody publicly with our public benchmarks. Yeah.swyx [00:04:09]: Let's talk about TechStack behind that. But okay, I'm going to rewind all the way to when you guys started this project. You were all the way in Sydney? Yeah. Well, Sydney, Australia for me.Micah [00:04:19]: George was an SF, but he's Australian, but he moved here already. Yeah.swyx [00:04:22]: And I remember I had the Zoom call with you. What was the impetus for starting artificial analysis in the first place? You know, you started with public benchmarks. And so let's start there. We'll go to the private benchmark. Yeah.George [00:04:33]: Why don't we even go back a little bit to like why we, you know, thought that it was needed? Yeah.Micah [00:04:40]: The story kind of begins like in 2022, 2023, like both George and I have been into AI stuff for quite a while. In 2023 specifically, I was trying to build a legal AI research assistant. So it actually worked pretty well for its era, I would say. Yeah. Yeah. So I was finding that the more you go into building something using LLMs, the more each bit of what you're doing ends up being a benchmarking problem. So had like this multistage algorithm thing, trying to figure out what the minimum viable model for each bit was, trying to optimize every bit of it as you build that out, right? Like you're trying to think about accuracy, a bunch of other metrics and performance and cost. And mostly just no one was doing anything to independently evaluate all the models. And certainly not to look at the trade-offs for speed and cost. So we basically set out just to build a thing that developers could look at to see the trade-offs between all of those things measured independently across all the models and providers. Honestly, it was probably meant to be a side project when we first started doing it.swyx [00:05:49]: Like we didn't like get together and say like, Hey, like we're going to stop working on all this stuff. I'm like, this is going to be our main thing. When I first called you, I think you hadn't decided on starting a company yet.Micah [00:05:58]: That's actually true. I don't even think we'd pause like, like George had an acquittance job. I didn't quit working on my legal AI thing. Like it was genuinely a side project.George [00:06:05]: We built it because we needed it as people building in the space and thought, Oh, other people might find it useful too. So we'll buy domain and link it to the Vercel deployment that we had and tweet about it. And, but very quickly it started getting attention. Thank you, Swyx for, I think doing an initial retweet and spotlighting it there. This project that we released. And then very quickly though, it was useful to others, but very quickly it became more useful as the number of models released accelerated. We had Mixtrel 8x7B and it was a key. That's a fun one. Yeah. Like a open source model that really changed the landscape and opened up people's eyes to other serverless inference providers and thinking about speed, thinking about cost. And so that was a key. And so it became more useful quite quickly. Yeah.swyx [00:07:02]: What I love talking to people like you who sit across the ecosystem is, well, I have theories about what people want, but you have data and that's obviously more relevant. But I want to stay on the origin story a little bit more. When you started out, I would say, I think the status quo at the time was every paper would come out and they would report their numbers versus competitor numbers. And that's basically it. And I remember I did the legwork. I think everyone has some knowledge. I think there's some version of Excel sheet or a Google sheet where you just like copy and paste the numbers from every paper and just post it up there. And then sometimes they don't line up because they're independently run. And so your numbers are going to look better than... Your reproductions of other people's numbers are going to look worse because you don't hold their models correctly or whatever the excuse is. I think then Stanford Helm, Percy Liang's project would also have some of these numbers. And I don't know if there's any other source that you can cite. The way that if I were to start artificial analysis at the same time you guys started, I would have used the Luther AI's eval framework harness. Yup.Micah [00:08:06]: Yup. That was some cool stuff. At the end of the day, running these evals, it's like if it's a simple Q&A eval, all you're doing is asking a list of questions and checking if the answers are right, which shouldn't be that crazy. But it turns out there are an enormous number of things that you've got control for. And I mean, back when we started the website. Yeah. Yeah. Like one of the reasons why we realized that we had to run the evals ourselves and couldn't just take rules from the labs was just that they would all prompt the models differently. And when you're competing over a few points, then you can pretty easily get- You can put the answer into the model. Yeah. That in the extreme. And like you get crazy cases like back when I'm Googled a Gemini 1.0 Ultra and needed a number that would say it was better than GPT-4 and like constructed, I think never published like chain of thought examples. 32 of them in every topic in MLU to run it, to get the score, like there are so many things that you- They never shipped Ultra, right? That's the one that never made it up. Not widely. Yeah. Yeah. Yeah. I mean, I'm sure it existed, but yeah. So we were pretty sure that we needed to run them ourselves and just run them in the same way across all the models. Yeah. And we were, we also did certain from the start that you couldn't look at those in isolation. You needed to look at them alongside the cost and performance stuff. Yeah.swyx [00:09:24]: Okay. A couple of technical questions. I mean, so obviously I also thought about this and I didn't do it because of cost. Yep. Did you not worry about costs? Were you funded already? Clearly not, but you know. No. Well, we definitely weren't at the start.Micah [00:09:36]: So like, I mean, we're paying for it personally at the start. There's a lot of money. Well, the numbers weren't nearly as bad a couple of years ago. So we certainly incurred some costs, but we were probably in the order of like hundreds of dollars of spend across all the benchmarking that we were doing. Yeah. So nothing. Yeah. It was like kind of fine. Yeah. Yeah. These days that's gone up an enormous amount for a bunch of reasons that we can talk about. But yeah, it wasn't that bad because you can also remember that like the number of models we were dealing with was hardly any and the complexity of the stuff that we wanted to do to evaluate them was a lot less. Like we were just asking some Q&A type questions and then one specific thing was for a lot of evals initially, we were just like sampling an answer. You know, like, what's the answer for this? Like, we didn't want to go into the answer directly without letting the models think. We weren't even doing chain of thought stuff initially. And that was the most useful way to get some results initially. Yeah.swyx [00:10:33]: And so for people who haven't done this work, literally parsing the responses is a whole thing, right? Like because sometimes the models, the models can answer any way they feel fit and sometimes they actually do have the right answer, but they just returned the wrong format and they will get a zero for that unless you work it into your parser. And that involves more work. And so, I mean, but there's an open question whether you should give it points for not following your instructions on the format.Micah [00:11:00]: It depends what you're looking at, right? Because you can, if you're trying to see whether or not it can solve a particular type of reasoning problem, and you don't want to test it on its ability to do answer formatting at the same time, then you might want to use an LLM as answer extractor approach to make sure that you get the answer out no matter how unanswered. But these days, it's mostly less of a problem. Like, if you instruct a model and give it examples of what the answers should look like, it can get the answers in your format, and then you can do, like, a simple regex.swyx [00:11:28]: Yeah, yeah. And then there's other questions around, I guess, sometimes if you have a multiple choice question, sometimes there's a bias towards the first answer, so you have to randomize the responses. All these nuances, like, once you dig into benchmarks, you're like, I don't know how anyone believes the numbers on all these things. It's so dark magic.Micah [00:11:47]: You've also got, like… You've got, like, the different degrees of variance in different benchmarks, right? Yeah. So, if you run four-question multi-choice on a modern reasoning model at the temperatures suggested by the labs for their own models, the variance that you can see on a four-question multi-choice eval is pretty enormous if you only do a single run of it and it has a small number of questions, especially. So, like, one of the things that we do is run an enormous number of all of our evals when we're developing new ones and doing upgrades to our intelligence index to bring in new things. Yeah. So, that we can dial in the right number of repeats so that we can get to the 95% confidence intervals that we're comfortable with so that when we pull that together, we can be confident in intelligence index to at least as tight as, like, a plus or minus one at a 95% confidence. Yeah.swyx [00:12:32]: And, again, that just adds a straight multiple to the cost. Oh, yeah. Yeah, yeah.George [00:12:37]: So, that's one of many reasons that cost has gone up a lot more than linearly over the last couple of years. We report a cost to run the artificial analysis. We report a cost to run the artificial analysis intelligence index on our website, and currently that's assuming one repeat in terms of how we report it because we want to reflect a bit about the weighting of the index. But our cost is actually a lot higher than what we report there because of the repeats.swyx [00:13:03]: Yeah, yeah, yeah. And probably this is true, but just checking, you don't have any special deals with the labs. They don't discount it. You just pay out of pocket or out of your sort of customer funds. Oh, there is a mix. So, the issue is that sometimes they may give you a special end point, which is… Ah, 100%.Micah [00:13:21]: Yeah, yeah, yeah. Exactly. So, we laser focus, like, on everything we do on having the best independent metrics and making sure that no one can manipulate them in any way. There are quite a lot of processes we've developed over the last couple of years to make that true for, like, the one you bring up, like, right here of the fact that if we're working with a lab, if they're giving us a private endpoint to evaluate a model, that it is totally possible. That what's sitting behind that black box is not the same as they serve on a public endpoint. We're very aware of that. We have what we call a mystery shopper policy. And so, and we're totally transparent with all the labs we work with about this, that we will register accounts not on our own domain and run both intelligence evals and performance benchmarks… Yeah, that's the job. …without them being able to identify it. And no one's ever had a problem with that. Because, like, a thing that turns out to actually be quite a good… …good factor in the industry is that they all want to believe that none of their competitors could manipulate what we're doing either.swyx [00:14:23]: That's true. I never thought about that. I've been in the database data industry prior, and there's a lot of shenanigans around benchmarking, right? So I'm just kind of going through the mental laundry list. Did I miss anything else in this category of shenanigans? Oh, potential shenanigans.Micah [00:14:36]: I mean, okay, the biggest one, like, that I'll bring up, like, is more of a conceptual one, actually, than, like, direct shenanigans. It's that the things that get measured become things that get targeted by labs that they're trying to build, right? Exactly. So that doesn't mean anything that we should really call shenanigans. Like, I'm not talking about training on test set. But if you know that you're going to be great at another particular thing, if you're a researcher, there are a whole bunch of things that you can do to try to get better at that thing that preferably are going to be helpful for a wide range of how actual users want to use the thing that you're building. But will not necessarily work. Will not necessarily do that. So, for instance, the models are exceptional now at answering competition maths problems. There is some relevance of that type of reasoning, that type of work, to, like, how we might use modern coding agents and stuff. But it's clearly not one for one. So the thing that we have to be aware of is that once an eval becomes the thing that everyone's looking at, scores can get better on it without there being a reflection of overall generalized intelligence of these models. Getting better. That has been true for the last couple of years. It'll be true for the next couple of years. There's no silver bullet to defeat that other than building new stuff to stay relevant and measure the capabilities that matter most to real users. Yeah.swyx [00:15:58]: And we'll cover some of the new stuff that you guys are building as well, which is cool. Like, you used to just run other people's evals, but now you're coming up with your own. And I think, obviously, that is a necessary path once you're at the frontier. You've exhausted all the existing evals. I think the next point in history that I have for you is AI Grant that you guys decided to join and move here. What was it like? I think you were in, like, batch two? Batch four. Batch four. Okay.Micah [00:16:26]: I mean, it was great. Nat and Daniel are obviously great. And it's a really cool group of companies that we were in AI Grant alongside. It was really great to get Nat and Daniel on board. Obviously, they've done a whole lot of great work in the space with a lot of leading companies and were extremely aligned. With the mission of what we were trying to do. Like, we're not quite typical of, like, a lot of the other AI startups that they've invested in.swyx [00:16:53]: And they were very much here for the mission of what we want to do. Did they say any advice that really affected you in some way or, like, were one of the events very impactful? That's an interesting question.Micah [00:17:03]: I mean, I remember fondly a bunch of the speakers who came and did fireside chats at AI Grant.swyx [00:17:09]: Which is also, like, a crazy list. Yeah.George [00:17:11]: Oh, totally. Yeah, yeah, yeah. There was something about, you know, speaking to Nat and Daniel about the challenges of working through a startup and just working through the questions that don't have, like, clear answers and how to work through those kind of methodically and just, like, work through the hard decisions. And they've been great mentors to us as we've built artificial analysis. Another benefit for us was that other companies in the batch and other companies in AI Grant are pushing the capabilities. Yeah. And I think that's a big part of what AI can do at this time. And so being in contact with them, making sure that artificial analysis is useful to them has been fantastic for supporting us in working out how should we build out artificial analysis to continue to being useful to those, like, you know, building on AI.swyx [00:17:59]: I think to some extent, I'm mixed opinion on that one because to some extent, your target audience is not people in AI Grants who are obviously at the frontier. Yeah. Do you disagree?Micah [00:18:09]: To some extent. To some extent. But then, so a lot of what the AI Grant companies are doing is taking capabilities coming out of the labs and trying to push the limits of what they can do across the entire stack for building great applications, which actually makes some of them pretty archetypical power users of artificial analysis. Some of the people with the strongest opinions about what we're doing well and what we're not doing well and what they want to see next from us. Yeah. Yeah. Because when you're building any kind of AI application now, chances are you're using a whole bunch of different models. You're maybe switching reasonably frequently for different models and different parts of your application to optimize what you're able to do with them at an accuracy level and to get better speed and cost characteristics. So for many of them, no, they're like not commercial customers of ours, like we don't charge for all our data on the website. Yeah. They are absolutely some of our power users.swyx [00:19:07]: So let's talk about just the evals as well. So you start out from the general like MMU and GPQA stuff. What's next? How do you sort of build up to the overall index? What was in V1 and how did you evolve it? Okay.Micah [00:19:22]: So first, just like background, like we're talking about the artificial analysis intelligence index, which is our synthesis metric that we pulled together currently from 10 different eval data sets to give what? We're pretty much the same as that. Pretty confident is the best single number to look at for how smart the models are. Obviously, it doesn't tell the whole story. That's why we published the whole website of all the charts to dive into every part of it and look at the trade-offs. But best single number. So right now, it's got a bunch of Q&A type data sets that have been very important to the industry, like a couple that you just mentioned. It's also got a couple of agentic data sets. It's got our own long context reasoning data set and some other use case focused stuff. As time goes on. The things that we're most interested in that are going to be important to the capabilities that are becoming more important for AI, what developers are caring about, are going to be first around agentic capabilities. So surprise, surprise. We're all loving our coding agents and how the model is going to perform like that and then do similar things for different types of work are really important to us. The linking to use cases to economically valuable use cases are extremely important to us. And then we've got some of the. Yeah. These things that the models still struggle with, like working really well over long contexts that are not going to go away as specific capabilities and use cases that we need to keep evaluating.swyx [00:20:46]: But I guess one thing I was driving was like the V1 versus the V2 and how bad it was over time.Micah [00:20:53]: Like how we've changed the index to where we are.swyx [00:20:55]: And I think that reflects on the change in the industry. Right. So that's a nice way to tell that story.Micah [00:21:00]: Well, V1 would be completely saturated right now. Almost every model coming out because doing things like writing the Python functions and human evil is now pretty trivial. It's easy to forget, actually, I think how much progress has been made in the last two years. Like we obviously play the game constantly of like the today's version versus last week's version and the week before and all of the small changes in the horse race between the current frontier and who has the best like smaller than 10B model like right now this week. Right. And that's very important to a lot of developers and people and especially in this particular city of San Francisco. But when you zoom out a couple of years ago, literally most of what we were doing to evaluate the models then would all be 100% solved by even pretty small models today. And that's been one of the key things, by the way, that's driven down the cost of intelligence at every tier of intelligence. We can talk about more in a bit. So V1, V2, V3, we made things harder. We covered a wider range of use cases. And we tried to get closer to things developers care about as opposed to like just the Q&A type stuff that MMLU and GPQA represented. Yeah.swyx [00:22:12]: I don't know if you have anything to add there. Or we could just go right into showing people the benchmark and like looking around and asking questions about it. Yeah.Micah [00:22:21]: Let's do it. Okay. This would be a pretty good way to chat about a few of the new things we've launched recently. Yeah.George [00:22:26]: And I think a little bit about the direction that we want to take it. And we want to push benchmarks. Currently, the intelligence index and evals focus a lot on kind of raw intelligence. But we kind of want to diversify how we think about intelligence. And we can talk about it. But kind of new evals that we've kind of built and partnered on focus on topics like hallucination. And we've got a lot of topics that I think are not covered by the current eval set that should be. And so we want to bring that forth. But before we get into that.swyx [00:23:01]: And so for listeners, just as a timestamp, right now, number one is Gemini 3 Pro High. Then followed by Cloud Opus at 70. Just 5.1 high. You don't have 5.2 yet. And Kimi K2 Thinking. Wow. Still hanging in there. So those are the top four. That will date this podcast quickly. Yeah. Yeah. I mean, I love it. I love it. No, no. 100%. Look back this time next year and go, how cute. Yep.George [00:23:25]: Totally. A quick view of that is, okay, there's a lot. I love it. I love this chart. Yeah.Micah [00:23:30]: This is such a favorite, right? Yeah. And almost every talk that George or I give at conferences and stuff, we always put this one up first to just talk about situating where we are in this moment in history. This, I think, is the visual version of what I was saying before about the zooming out and remembering how much progress there's been. If we go back to just over a year ago, before 01, before Cloud Sonnet 3.5, we didn't have reasoning models or coding agents as a thing. And the game was very, very different. If we go back even a little bit before then, we're in the era where, when you look at this chart, open AI was untouchable for well over a year. And, I mean, you would remember that time period well of there being very open questions about whether or not AI was going to be competitive, like full stop, whether or not open AI would just run away with it, whether we would have a few frontier labs and no one else would really be able to do anything other than consume their APIs. I am quite happy overall that the world that we have ended up in is one where... Multi-model. Absolutely. And strictly more competitive every quarter over the last few years. Yeah. This year has been insane. Yeah.George [00:24:42]: You can see it. This chart with everything added is hard to read currently. There's so many dots on it, but I think it reflects a little bit what we felt, like how crazy it's been.swyx [00:24:54]: Why 14 as the default? Is that a manual choice? Because you've got service now in there that are less traditional names. Yeah.George [00:25:01]: It's models that we're kind of highlighting by default in our charts, in our intelligence index. Okay.swyx [00:25:07]: You just have a manually curated list of stuff.George [00:25:10]: Yeah, that's right. But something that I actually don't think every artificial analysis user knows is that you can customize our charts and choose what models are highlighted. Yeah. And so if we take off a few names, it gets a little easier to read.swyx [00:25:25]: Yeah, yeah. A little easier to read. Totally. Yeah. But I love that you can see the all one jump. Look at that. September 2024. And the DeepSeek jump. Yeah.George [00:25:34]: Which got close to OpenAI's leadership. They were so close. I think, yeah, we remember that moment. Around this time last year, actually.Micah [00:25:44]: Yeah, yeah, yeah. I agree. Yeah, well, a couple of weeks. It was Boxing Day in New Zealand when DeepSeek v3 came out. And we'd been tracking DeepSeek and a bunch of the other global players that were less known over the second half of 2024 and had run evals on the earlier ones and stuff. I very distinctly remember Boxing Day in New Zealand, because I was with family for Christmas and stuff, running the evals and getting back result by result on DeepSeek v3. So this was the first of their v3 architecture, the 671b MOE.Micah [00:26:19]: And we were very, very impressed. That was the moment where we were sure that DeepSeek was no longer just one of many players, but had jumped up to be a thing. The world really noticed when they followed that up with the RL working on top of v3 and R1 succeeding a few weeks later. But the groundwork for that absolutely was laid with just extremely strong base model, completely open weights that we had as the best open weights model. So, yeah, that's the thing that you really see in the game. But I think that we got a lot of good feedback on Boxing Day. us on Boxing Day last year.George [00:26:48]: Boxing Day is the day after Christmas for those not familiar.George [00:26:54]: I'm from Singapore.swyx [00:26:55]: A lot of us remember Boxing Day for a different reason, for the tsunami that happened. Oh, of course. Yeah, but that was a long time ago. So yeah. So this is the rough pitch of AAQI. Is it A-A-Q-I or A-A-I-I? I-I. Okay. Good memory, though.Micah [00:27:11]: I don't know. I'm not used to it. Once upon a time, we did call it Quality Index, and we would talk about quality, performance, and price, but we changed it to intelligence.George [00:27:20]: There's been a few naming changes. We added hardware benchmarking to the site, and so benchmarks at a kind of system level. And so then we changed our throughput metric to, we now call it output speed, and thenswyx [00:27:32]: throughput makes sense at a system level, so we took that name. Take me through more charts. What should people know? Obviously, the way you look at the site is probably different than how a beginner might look at it.Micah [00:27:42]: Yeah, that's fair. There's a lot of fun stuff to dive into. Maybe so we can hit past all the, like, we have lots and lots of emails and stuff. The interesting ones to talk about today that would be great to bring up are a few of our recent things, I think, that probably not many people will be familiar with yet. So first one of those is our omniscience index. So this one is a little bit different to most of the intelligence evils that we've run. We built it specifically to look at the embedded knowledge in the models and to test hallucination by looking at when the model doesn't know the answer, so not able to get it correct, what's its probability of saying, I don't know, or giving an incorrect answer. So the metric that we use for omniscience goes from negative 100 to positive 100. Because we're simply taking off a point if you give an incorrect answer to the question. We're pretty convinced that this is an example of where it makes most sense to do that, because it's strictly more helpful to say, I don't know, instead of giving a wrong answer to factual knowledge question. And one of our goals is to shift the incentive that evils create for models and the labs creating them to get higher scores. And almost every evil across all of AI up until this point, it's been graded by simple percentage correct as the main metric, the main thing that gets hyped. And so you should take a shot at everything. There's no incentive to say, I don't know. So we did that for this one here.swyx [00:29:22]: I think there's a general field of calibration as well, like the confidence in your answer versus the rightness of the answer. Yeah, we completely agree. Yeah. Yeah.George [00:29:31]: On that. And one reason that we didn't do that is because. Or put that into this index is that we think that the, the way to do that is not to ask the models how confident they are.swyx [00:29:43]: I don't know. Maybe it might be though. You put it like a JSON field, say, say confidence and maybe it spits out something. Yeah. You know, we have done a few evils podcasts over the, over the years. And when we did one with Clementine of hugging face, who maintains the open source leaderboard, and this was one of her top requests, which is some kind of hallucination slash lack of confidence calibration thing. And so, Hey, this is one of them.Micah [00:30:05]: And I mean, like anything that we do, it's not a perfect metric or the whole story of everything that you think about as hallucination. But yeah, it's pretty useful and has some interesting results. Like one of the things that we saw in the hallucination rate is that anthropics Claude models at the, the, the very left-hand side here with the lowest hallucination rates out of the models that we've evaluated amnesty is on. That is an interesting fact. I think it probably correlates with a lot of the previously, not really measured vibes stuff that people like about some of the Claude models. Is the dataset public or what's is it, is there a held out set? There's a hell of a set for this one. So we, we have published a public test set, but we we've only published 10% of it. The reason is that for this one here specifically, it would be very, very easy to like have data contamination because it is just factual knowledge questions. We would. We'll update it at a time to also prevent that, but with yeah, kept most of it held out so that we can keep it reliable for a long time. It leads us to a bunch of really cool things, including breakdown quite granularly by topic. And so we've got some of that disclosed on the website publicly right now, and there's lots more coming in terms of our ability to break out very specific topics. Yeah.swyx [00:31:23]: I would be interested. Let's, let's dwell a little bit on this hallucination one. I noticed that Haiku hallucinates less than Sonnet hallucinates less than Opus. And yeah. Would that be the other way around in a normal capability environments? I don't know. What's, what do you make of that?George [00:31:37]: One interesting aspect is that we've found that there's not really a, not a strong correlation between intelligence and hallucination, right? That's to say that the smarter the models are in a general sense, isn't correlated with their ability to, when they don't know something, say that they don't know. It's interesting that Gemini three pro preview was a big leap over here. Gemini 2.5. Flash and, and, and 2.5 pro, but, and if I add pro quickly here.swyx [00:32:07]: I bet pro's really good. Uh, actually no, I meant, I meant, uh, the GPT pros.George [00:32:12]: Oh yeah.swyx [00:32:13]: Cause GPT pros are rumored. We don't know for a fact that it's like eight runs and then with the LM judge on top. Yeah.George [00:32:20]: So we saw a big jump in, this is accuracy. So this is just percent that they get, uh, correct and Gemini three pro knew a lot more than the other models. And so big jump in accuracy. But relatively no change between the Google Gemini models, between releases. And the hallucination rate. Exactly. And so it's likely due to just kind of different post-training recipe, between the, the Claude models. Yeah.Micah [00:32:45]: Um, there's, there's driven this. Yeah. You can, uh, you can partially blame us and how we define intelligence having until now not defined hallucination as a negative in the way that we think about intelligence.swyx [00:32:56]: And so that's what we're changing. Uh, I know many smart people who are confidently incorrect.George [00:33:02]: Uh, look, look at that. That, that, that is very humans. Very true. And there's times and a place for that. I think our view is that hallucination rate makes sense in this context where it's around knowledge, but in many cases, people want the models to hallucinate, to have a go. Often that's the case in coding or when you're trying to generate newer ideas. One eval that we added to artificial analysis is, is, is critical point and it's really hard, uh, physics problems. Okay.swyx [00:33:32]: And is it sort of like a human eval type or something different or like a frontier math type?George [00:33:37]: It's not dissimilar to frontier frontier math. So these are kind of research questions that kind of academics in the physics physics world would be able to answer, but models really struggled to answer. So the top score here is not 9%.swyx [00:33:51]: And when the people that, that created this like Minway and, and, and actually off via who was kind of behind sweep and what organization is this? Oh, is this, it's Princeton.George [00:34:01]: Kind of range of academics from, from, uh, different academic institutions, really smart people. They talked about how they turn the models up in terms of the temperature as high temperature as they can, where they're trying to explore kind of new ideas in physics as a, as a thought partner, just because they, they want the models to hallucinate. Um, yeah, sometimes it's something new. Yeah, exactly.swyx [00:34:21]: Um, so not right in every situation, but, um, I think it makes sense, you know, to test hallucination in scenarios where it makes sense. Also, the obvious question is, uh, this is one of. Many that there is there, every lab has a system card that shows some kind of hallucination number, and you've chosen to not, uh, endorse that and you've made your own. And I think that's a, that's a choice. Um, totally in some sense, the rest of artificial analysis is public benchmarks that other people can independently rerun. You provide it as a service here. You have to fight the, well, who are we to, to like do this? And your, your answer is that we have a lot of customers and, you know, but like, I guess, how do you converge the individual?Micah [00:35:08]: I mean, I think, I think for hallucinations specifically, there are a bunch of different things that you might care about reasonably, and that you'd measure quite differently, like we've called this a amnesty and solutionation rate, not trying to declare the, like, it's humanity's last hallucination. You could, uh, you could have some interesting naming conventions and all this stuff. Um, the biggest picture answer to that. It's something that I actually wanted to mention. Just as George was explaining, critical point as well is, so as we go forward, we are building evals internally. We're partnering with academia and partnering with AI companies to build great evals. We have pretty strong views on, in various ways for different parts of the AI stack, where there are things that are not being measured well, or things that developers care about that should be measured more and better. And we intend to be doing that. We're not obsessed necessarily with that. Everything we do, we have to do entirely within our own team. Critical point. As a cool example of where we were a launch partner for it, working with academia, we've got some partnerships coming up with a couple of leading companies. Those ones, obviously we have to be careful with on some of the independent stuff, but with the right disclosure, like we're completely comfortable with that. A lot of the labs have released great data sets in the past that we've used to great success independently. And so it's between all of those techniques, we're going to be releasing more stuff in the future. Cool.swyx [00:36:26]: Let's cover the last couple. And then we'll, I want to talk about your trends analysis stuff, you know? Totally.Micah [00:36:31]: So that actually, I have one like little factoid on omniscience. If you go back up to accuracy on omniscience, an interesting thing about this accuracy metric is that it tracks more closely than anything else that we measure. The total parameter count of models makes a lot of sense intuitively, right? Because this is a knowledge eval. This is the pure knowledge metric. We're not looking at the index and the hallucination rate stuff that we think is much more about how the models are trained. This is just what facts did they recall? And yeah, it tracks parameter count extremely closely. Okay.swyx [00:37:05]: What's the rumored size of GPT-3 Pro? And to be clear, not confirmed for any official source, just rumors. But rumors do fly around. Rumors. I get, I hear all sorts of numbers. I don't know what to trust.Micah [00:37:17]: So if you, if you draw the line on omniscience accuracy versus total parameters, we've got all the open ways models, you can squint and see that likely the leading frontier models right now are quite a lot bigger than the ones that we're seeing right now. And the one trillion parameters that the open weights models cap out at, and the ones that we're looking at here, there's an interesting extra data point that Elon Musk revealed recently about XAI that for three trillion parameters for GROK 3 and 4, 6 trillion for GROK 5, but that's not out yet. Take those together, have a look. You might reasonably form a view that there's a pretty good chance that Gemini 3 Pro is bigger than that, that it could be in the 5 to 10 trillion parameters. To be clear, I have absolutely no idea, but just based on this chart, like that's where you would, you would land if you have a look at it. Yeah.swyx [00:38:07]: And to some extent, I actually kind of discourage people from guessing too much because what does it really matter? Like as long as they can serve it as a sustainable cost, that's about it. Like, yeah, totally.George [00:38:17]: They've also got different incentives in play compared to like open weights models who are thinking to supporting others in self-deployment for the labs who are doing inference at scale. It's I think less about total parameters in many cases. When thinking about inference costs and more around number of active parameters. And so there's a bit of an incentive towards larger sparser models. Agreed.Micah [00:38:38]: Understood. Yeah. Great. I mean, obviously if you're a developer or company using these things, not exactly as you say, it doesn't matter. You should be looking at all the different ways that we measure intelligence. You should be looking at cost to run index number and the different ways of thinking about token efficiency and cost efficiency based on the list prices, because that's all it matters.swyx [00:38:56]: It's not as good for the content creator rumor mill where I can say. Oh, GPT-4 is this small circle. Look at GPT-5 is this big circle. And then there used to be a thing for a while. Yeah.Micah [00:39:07]: But that is like on its own, actually a very interesting one, right? That is it just purely that chances are the last couple of years haven't seen a dramatic scaling up in the total size of these models. And so there's a lot of room to go up properly in total size of the models, especially with the upcoming hardware generations. Yes.swyx [00:39:29]: So, you know. Taking off my shitposting face for a minute. Yes. Yes. At the same time, I do feel like, you know, especially coming back from Europe, people do feel like Ilya is probably right that the paradigm is doesn't have many more orders of magnitude to scale out more. And therefore we need to start exploring at least a different path. GDPVal, I think it's like only like a month or so old. I was also very positive when it first came out. I actually talked to Tejo, who was the lead researcher on that. Oh, cool. And you have your own version.George [00:39:59]: It's a fantastic. It's a fantastic data set. Yeah.swyx [00:40:01]: And maybe it will recap for people who are still out of it. It's like 44 tasks based on some kind of GDP cutoff that's like meant to represent broad white collar work that is not just coding. Yeah.Micah [00:40:12]: Each of the tasks have a whole bunch of detailed instructions, some input files for a lot of them. It's within the 44 is divided into like two hundred and twenty two to five, maybe subtasks that are the level of that we run through the agenda. And yeah, they're really interesting. I will say that it doesn't. It doesn't necessarily capture like all the stuff that people do at work. No avail is perfect is always going to be more things to look at, largely because in order to make the tasks well enough to find that you can run them, they need to only have a handful of input files and very specific instructions for that task. And so I think the easiest way to think about them are that they're like quite hard take home exam tasks that you might do in an interview process.swyx [00:40:56]: Yeah, for listeners, it is not no longer like a long prompt. It is like, well, here's a zip file with like a spreadsheet or a PowerPoint deck or a PDF and go nuts and answer this question.George [00:41:06]: OpenAI released a great data set and they released a good paper which looks at performance across the different web chat bots on the data set. It's a great paper, encourage people to read it. What we've done is taken that data set and turned it into an eval that can be run on any model. So we created a reference agentic harness that can run. Run the models on the data set, and then we developed evaluator approach to compare outputs. That's kind of AI enabled, so it uses Gemini 3 Pro Preview to compare results, which we tested pretty comprehensively to ensure that it's aligned to human preferences. One data point there is that even as an evaluator, Gemini 3 Pro, interestingly, doesn't do actually that well. So that's kind of a good example of what we've done in GDPVal AA.swyx [00:42:01]: Yeah, the thing that you have to watch out for with LLM judge is self-preference that models usually prefer their own output, and in this case, it was not. Totally.Micah [00:42:08]: I think the way that we're thinking about the places where it makes sense to use an LLM as judge approach now, like quite different to some of the early LLM as judge stuff a couple of years ago, because some of that and MTV was a great project that was a good example of some of this a while ago was about judging conversations and like a lot of style type stuff. Here, we've got the task that the grader and grading model is doing is quite different to the task of taking the test. When you're taking the test, you've got all of the agentic tools you're working with, the code interpreter and web search, the file system to go through many, many turns to try to create the documents. Then on the other side, when we're grading it, we're running it through a pipeline to extract visual and text versions of the files and be able to provide that to Gemini, and we're providing the criteria for the task and getting it to pick which one more effectively meets the criteria of the task. Yeah. So we've got the task out of two potential outcomes. It turns out that we proved that it's just very, very good at getting that right, matched with human preference a lot of the time, because I think it's got the raw intelligence, but it's combined with the correct representation of the outputs, the fact that the outputs were created with an agentic task that is quite different to the way the grading model works, and we're comparing it against criteria, not just kind of zero shot trying to ask the model to pick which one is better.swyx [00:43:26]: Got it. Why is this an ELO? And not a percentage, like GDP-VAL?George [00:43:31]: So the outputs look like documents, and there's video outputs or audio outputs from some of the tasks. It has to make a video? Yeah, for some of the tasks. Some of the tasks.swyx [00:43:43]: What task is that?George [00:43:45]: I mean, it's in the data set. Like be a YouTuber? It's a marketing video.Micah [00:43:49]: Oh, wow. What? Like model has to go find clips on the internet and try to put it together. The models are not that good at doing that one, for now, to be clear. It's pretty hard to do that with a code editor. I mean, the computer stuff doesn't work quite well enough and so on and so on, but yeah.George [00:44:02]: And so there's no kind of ground truth, necessarily, to compare against, to work out percentage correct. It's hard to come up with correct or incorrect there. And so it's on a relative basis. And so we use an ELO approach to compare outputs from each of the models between the task.swyx [00:44:23]: You know what you should do? You should pay a contractor, a human, to do the same task. And then give it an ELO and then so you have, you have human there. It's just, I think what's helpful about GDPVal, the OpenAI one, is that 50% is meant to be normal human and maybe Domain Expert is higher than that, but 50% was the bar for like, well, if you've crossed 50, you are superhuman. Yeah.Micah [00:44:47]: So we like, haven't grounded this score in that exactly. I agree that it can be helpful, but we wanted to generalize this to a very large number. It's one of the reasons that presenting it as ELO is quite helpful and allows us to add models and it'll stay relevant for quite a long time. I also think it, it can be tricky looking at these exact tasks compared to the human performance, because the way that you would go about it as a human is quite different to how the models would go about it. Yeah.swyx [00:45:15]: I also liked that you included Lama 4 Maverick in there. Is that like just one last, like...Micah [00:45:20]: Well, no, no, no, no, no, no, it is the, it is the best model released by Meta. And... So it makes it into the homepage default set, still for now.George [00:45:31]: Other inclusion that's quite interesting is we also ran it across the latest versions of the web chatbots. And so we have...swyx [00:45:39]: Oh, that's right.George [00:45:40]: Oh, sorry.swyx [00:45:41]: I, yeah, I completely missed that. Okay.George [00:45:43]: No, not at all. So that, which has a checkered pattern. So that is their harness, not yours, is what you're saying. Exactly. And what's really interesting is that if you compare, for instance, Claude 4.5 Opus using the Claude web chatbot, it performs worse than the model in our agentic harness. And so in every case, the model performs better in our agentic harness than its web chatbot counterpart, the harness that they created.swyx [00:46:13]: Oh, my backwards explanation for that would be that, well, it's meant for consumer use cases and here you're pushing it for something.Micah [00:46:19]: The constraints are different and the amount of freedom that you can give the model is different. Also, you like have a cost goal. We let the models work as long as they want, basically. Yeah. Do you copy paste manually into the chatbot? Yeah. Yeah. That's, that was how we got the chatbot reference. We're not going to be keeping those updated at like quite the same scale as hundreds of models.swyx [00:46:38]: Well, so I don't know, talk to a browser base. They'll, they'll automate it for you. You know, like I have thought about like, well, we should turn these chatbot versions into an API because they are legitimately different agents in themselves. Yes. Right. Yeah.Micah [00:46:53]: And that's grown a huge amount of the last year, right? Like the tools. The tools that are available have actually diverged in my opinion, a fair bit across the major chatbot apps and the amount of data sources that you can connect them to have gone up a lot, meaning that your experience and the way you're using the model is more different than ever.swyx [00:47:10]: What tools and what data connections come to mind when you say what's interesting, what's notable work that people have done?Micah [00:47:15]: Oh, okay. So my favorite example on this is that until very recently, I would argue that it was basically impossible to get an LLM to draft an email for me in any useful way. Because most times that you're sending an email, you're not just writing something for the sake of writing it. Chances are context required is a whole bunch of historical emails. Maybe it's notes that you've made, maybe it's meeting notes, maybe it's, um, pulling something from your, um, any of like wherever you at work store stuff. So for me, like Google drive, one drive, um, in our super base databases, if we need to do some analysis or some data or something, preferably model can be plugged into all of those things and can go do some useful work based on it. The things that like I find most impressive currently that I am somewhat surprised work really well in late 2025, uh, that I can have models use super base MCP to query read only, of course, run a whole bunch of SQL queries to do pretty significant data analysis. And. And make charts and stuff and can read my Gmail and my notion. And okay. You actually use that. That's good. That's, that's, that's good. Is that a cloud thing? To various degrees of order, but chat GPD and Claude right now, I would say that this stuff like barely works in fairness right now. Like.George [00:48:33]: Because people are actually going to try this after they hear it. If you get an email from Micah, odds are it wasn't written by a chatbot.Micah [00:48:38]: So, yeah, I think it is true that I have never actually sent anyone an email drafted by a chatbot. Yet.swyx [00:48:46]: Um, and so you can, you can feel it right. And yeah, this time, this time next year, we'll come back and see where it's going. Totally. Um, super base shout out another famous Kiwi. Uh, I don't know if you've, you've any conversations with him about anything in particular on AI building and AI infra.George [00:49:03]: We have had, uh, Twitter DMS, um, with, with him because we're quite big, uh, super base users and power users. And we probably do some things more manually than we should in. In, in super base support line because you're, you're a little bit being super friendly. One extra, um, point regarding, um, GDP Val AA is that on the basis of the overperformance of the models compared to the chatbots turns out, we realized that, oh, like our reference harness that we built actually white works quite well on like gen generalist agentic tasks. This proves it in a sense. And so the agent harness is very. Minimalist. I think it follows some of the ideas that are in Claude code and we, all that we give it is context management capabilities, a web search, web browsing, uh, tool, uh, code execution, uh, environment. Anything else?Micah [00:50:02]: I mean, we can equip it with more tools, but like by default, yeah, that's it. We, we, we give it for GDP, a tool to, uh, view an image specifically, um, because the models, you know, can just use a terminal to pull stuff in text form into context. But to pull visual stuff into context, we had to give them a custom tool, but yeah, exactly. Um, you, you can explain an expert. No.George [00:50:21]: So it's, it, we turned out that we created a good generalist agentic harness. And so we, um, released that on, on GitHub yesterday. It's called stirrup. So if people want to check it out and, and it's a great, um, you know, base for, you know, generalist, uh, building a generalist agent for more specific tasks.Micah [00:50:39]: I'd say the best way to use it is get clone and then have your favorite coding. Agent make changes to it, to do whatever you want, because it's not that many lines of code and the coding agents can work with it. Super well.swyx [00:50:51]: Well, that's nice for the community to explore and share and hack on it. I think maybe in, in, in other similar environments, the terminal bench guys have done, uh, sort of the Harbor. Uh, and so it's, it's a, it's a bundle of, well, we need our minimal harness, which for them is terminus and we also need the RL environments or Docker deployment thing to, to run independently. So I don't know if you've looked at it. I don't know if you've looked at the harbor at all, is that, is that like a, a standard that people want to adopt?George [00:51:19]: Yeah, we've looked at it from a evals perspective and we love terminal bench and, and host benchmarks of, of, of terminal mention on artificial analysis. Um, we've looked at it from a, from a coding agent perspective, but could see it being a great, um, basis for any kind of agents. I think where we're getting to is that these models have gotten smart enough. They've gotten better, better tools that they can perform better when just given a minimalist. Set of tools and, and let them run, let the model control the, the agentic workflow rather than using another framework that's a bit more built out that tries to dictate the, dictate the flow. Awesome.swyx [00:51:56]: Let's cover the openness index and then let's go into the report stuff. Uh, so that's the, that's the last of the proprietary art numbers, I guess. I don't know how you sort of classify all these. Yeah.Micah [00:52:07]: Or call it, call it, let's call it the last of like the, the three new things that we're talking about from like the last few weeks. Um, cause I mean, there's a, we do a mix of stuff that. Where we're using open source, where we open source and what we do and, um, proprietary stuff that we don't always open source, like long context reasoning data set last year, we did open source. Um, and then all of the work on performance benchmarks across the site, some of them, we looking to open source, but some of them, like we're constantly iterating on and so on and so on and so on. So there's a huge mix, I would say, just of like stuff that is open source and not across the side. So that's a LCR for people. Yeah, yeah, yeah, yeah.swyx [00:52:41]: Uh, but let's, let's, let's talk about open.Micah [00:52:42]: Let's talk about openness index. This. Here is call it like a new way to think about how open models are. We, for a long time, have tracked where the models are open weights and what the licenses on them are. And that's like pretty useful. That tells you what you're allowed to do with the weights of a model, but there is this whole other dimension to how open models are. That is pretty important that we haven't tracked until now. And that's how much is disclosed about how it was made. So transparency about data, pre-training data and post-training data. And whether you're allowed to use that data and transparency about methodology and training code. So basically, those are the components. We bring them together to score an openness index for models so that you can in one place get this full picture of how open models are.swyx [00:53:32]: I feel like I've seen a couple other people try to do this, but they're not maintained. I do think this does matter. I don't know what the numbers mean apart from is there a max number? Is this out of 20?George [00:53:44]: It's out of 18 currently, and so we've got an openness index page, but essentially these are points, you get points for being more open across these different categories and the maximum you can achieve is 18. So AI2 with their extremely open OMO3 32B think model is the leader in a sense.swyx [00:54:04]: It's hooking face.George [00:54:05]: Oh, with their smaller model. It's coming soon. I think we need to run, we need to get the intelligence benchmarks right to get it on the site.swyx [00:54:12]: You can't have it open in the next. We can not include hooking face. We love hooking face. We'll have that, we'll have that up very soon. I mean, you know, the refined web and all that stuff. It's, it's amazing. Or is it called fine web? Fine web. Fine web.Micah [00:54:23]: Yeah, yeah, no, totally. Yep. One of the reasons this is cool, right, is that if you're trying to understand the holistic picture of the models and what you can do with all the stuff the company's contributing, this gives you that picture. And so we are going to keep it up to date alongside all the models that we do intelligence index on, on the site. And it's just an extra view to understand.swyx [00:54:43]: Can you scroll down to this? The, the, the, the trade-offs chart. Yeah, yeah. That one. Yeah. This, this really matters, right? Obviously, because you can b

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Tiers in Heaven 33: Music Genres

Play Episode Listen Later Jan 7, 2026 59:06

Happy new year, members of the music fandom! Join Spencer, Ty, and Andy as they discuss rock, rap, country, western, techno, house, clownstep, frenchcore, lo-fi, psychotrance, darkstep, trouse, blogrock, mathrock, shoegaze, sockstep, cowpunk, and all of your other favorite musical genres. Support us on Patreon for $5, $7, or $10: www.patreon.com/tgofv. TGOFV Theme by World Record Pace. A big shout-out to our $10/month patrons: Abbie Phelps, Adam W, Anthony Cabrera, asdf, Axon, Baylor Thornton, Bedi, bernventers, bunknown, Celeste, Charles Doyle, Dane Stephen, Dave Finlay, David Gebhardt, Dean, Francis Wolf, Heather-Pleather, Jacob Sauber-Cavazos, James Lloyd-Jones, Jennifer Knowles, Jeremy-Alice, Josh O'Brien, Kilo, LM, Lawrence, Louis Ceresa, Malek Douglas, Newmans Own, Packocamels, Phat Ass Cyberman, Rach, raouldyke, Rebecca Kimpel, revidicism, Sam Thomas, T, Tash Diehart, Themandme, Tomix, weedworf, William Copping, and Yung Zoe!

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TPI Composites Bankruptcy, Vestas Buys Mexico Factories

Play Episode Listen Later Jan 6, 2026 23:45

Allen, Joel, and Yolanda examine TPI Composites’ Chapter 11 proceedings, including the Oaktree Capital secured debt controversy and Vestas’ acquisition of two Mexican factories. With remaining assets heading to auction in January, they discuss what operators should consider as blade supply uncertainty grows. Sign up now for Uptime Tech News, our weekly email update on all things wind technology. This episode is sponsored by Weather Guard Lightning Tech. Learn more about Weather Guard’s StrikeTape Wind Turbine LPS retrofit. Follow the show on Facebook, YouTube, Twitter, Linkedin and visit Weather Guard on the web. And subscribe to Rosemary Barnes’ YouTube channel here. Have a question we can answer on the show? Email us! The Uptime Wind Energy Podcast brought to you by Strike Tape, protecting thousands of wind turbines from lightning damage worldwide. Visit strike tape.com. And now your hosts, Allen Hall, Rosemary Barnes, Joel Saxum and Yolanda Padron. Welcome to the Uptime Wind Energy Allen Hall: Podcast. I’m your host, Allen Hall. I’m here with Yolanda Padron and Joel Saxum. Rosemary Barnes is on holiday. We’re here to talk about the TPI composites, uh, bankruptcy hearings, and there’s been so much happening there behind the scenes. It’s hard to keep track of, but we’ve done a deep dive and wanted to give everybody at least a highlight of what has happened over the last couple of months. So, uh, if you do own vessels or GE turbines, you understand what the situation is. As we all know, TPI composites, gee, was the world’s largest independent of wind blade manufacturing. Uh, they [00:01:00] were, it, they built blades for renova, Vestas, Nordex. They built blades for almost everybody, uh, names that basically power the global energy transition. And then, uh, if, and a lot of people don’t know this, but back in December of 2023, uh, TPI struck a deal that is drawing some fire. Right now, TPI swapped $436 million in preferred stock for. $393 million in secure debt held by Oak Tree Capital and by August of last year, just a couple of months ago, TPI filed for Chapter 11. Now the Blade Makers assets are being carved up and sold, and two of wind energy’s biggest players are stepping in to keep production running while the bankruptcy plays out. Now, Joel and Yolanda, I, I think the bankruptcy of. TPI sort of came to the industry as a little bit of a shock. Obviously [00:02:00] the, the price had fallen quite a bit. Uh, if you’ve watched the stock price of TPI composites had been dropping for a while and didn’t have a lot of of market value. However, uh, GE and Vestas both have manufacturing facilities basically with uh, TPI composites and, and needs them to produce those blades. So the filing of the bankruptcy, I’m sure was a nervous point for Vestus and GE being really the, the two main ones. Joel Saxum: Well, I think we talked about this a little bit off air. Is it, it shouldn’t just be Vestus and GE nervous about this now. It should be every operator that’s in either in development or still has blades under warranty. Uh, so, and this is a not a US problem, this is a global problem. ’cause TPI is a global company that serves, uh, global industry all over the place, right? We know that a large percentage of their throughput was GE and Vestas, but also Siemens ESAs in there, you name it, right? The, any major operator’s gonna have some blades built [00:03:00] by TPI or op major, OEM. So. There isn’t gonna be much of a, uh, dark corner of the wind industry that this issue doesn’t touch. So I think they, the, one of the issues here is, um, we’ve, we’ve, we’ve heard about some issues going on with TPI, but it was almost like a, ah, they’re not, they’ll, they’ll be okay. They, so, so something will happen. I mean, Yolanda, you had said. What was it that you said ear earlier? Like, uh, the kind of the, the, the feeling about it. Yolanda Padron: They’ll take care of it. You know, OEMs will take care of it and we’ll be fine. Joel Saxum: Someone’s gonna support this thing. Yolanda Padron: Yeah. I, I think teams, you’re, you’re definitely right. Teams really do need to at least think of a, of a plan B or a plan C to have when the dust settles so you’re not scrambling. Allen Hall: Yeah. And it hasn’t really played out that way. Uh, Vestas has stepped in a little bit and GE has stepped in. Not in terms of acquiring any of the major assets, but I think the first question is what is Oaktree Capital’s, [00:04:00] uh, role in all this? And that is being played out right now in front of the bankruptcy court. Uh, so when you go to bankruptcy, there’s obviously a lot of oversight that happens there, uh, and. When TPI composites entered bankruptcy, the accreditors committee had a bunch of questions about that transaction. Uh, they pointed to a December, 2023 refin refinancing deal with Oaktree and in which creditors were really suspicious of basically saying that TPI was already insolvent in 2023 and Oaktree exchanged equity for secure debt jumping ahead of everybody else in line to get paid. So because they Oaktree has secured debt, they’re first in line to get paid. If, uh, weather Guard was involved selling parts to TPI, which thank goodness we weren’t, we would be unsecured. They wouldn’t have to pay us. So Oaktree would get paid first and everybody else is unsecured, gets paid [00:05:00] later. Uh, that’s okay. I mean, that’s the way they, uh, they structured it. But this has led to a problem, right? So that oak tree. Uh, was supposed to release about $20 million in funding to keep the factories open, and that, that happened just a couple of weeks ago, and Oaktree refused to do it. So the amount of cash flow to keep the factories open was a real issue. TPI was in front of the court saying, we’re in trouble. We’re gonna become insolvent. We don’t have cash flow to keep the doors open. So the blade factories nearly shut down a couple of weeks ago. However, there was a, the settlement, uh, just after that, uh, in regards to Oaktree about when the payouts happen, what Oaktree will receive, and which basically it’s, most of whatever’s gonna happen here. So whatever, uh, TPI decides to sell or can sell, Oaktree is gonna be the recipient of those funds for most of it. I think the Joel Saxum: difficult thing here for. The [00:06:00] general listener, me included, is understanding that this is a very complicated legal process that’s governed and it’s global, right? So it’s governed in certain court systems in different places. And because there is also the idea of like say in the, in the United States, the SEC Securities Exchanges Commission, that kind of regulates these. Publicly traded companies. There’s a lot of lights and there’s a lot of lawyers and there’s a lot of jargon involved in this thing. And, but basically what what we’re saying is, is the way the process works when you have a, uh, a bankruptcy and insolvency, if a company has debt to certain people, there may be a list of a hundred people. There may be a list of two, doesn’t matter. There’s certain classes of debt, right? And Oaktree has secured debt, which means. If they get paid first, if there’s anything, right? If this bankruptcy goes and, and gets, sell this, sell that, sell this, whatever’s left, goes to the secured debt and then it goes to unsecured debt. And [00:07:00] there’s sometimes there can be different classes of unsecured debt as well. And, but if there’s not, some of it just goes by like date or value or everybody gets a percentage, it just kind of all depends on how it works out in the specific court system that the stuff takes care of. But that person. That is the top. Um, in this case, Oaktree Capital, right? Based out of la but offices all over the world, they got about $200 billion in real estate equity and debt assets or, uh, I guess valuation. I wouldn’t say assets. Um, they are the debtor in possession, so they’re the one that’s kind of like top of the heap. They’re kind of controlling how the. The restructuring and or sale goes alongside the court system. Allen Hall: And the trouble is, is that when you have unsecured and secured debt, everybody that’s unsecured wants to get paid. So any material supplier that has been for in selling product to TPI over the years [00:08:00] usually has a 30, 60, 90, maybe 120 days of, of after they deliver the product to they get paid. In that timeframe, if bankruptcy happens, all that product that’s sitting on the floor at TPI, you sort of lost it. You know, you can’t get it back and you’re not gonna get paid for it for if, if, if ever, what do you do? And so you start, you know, you start filing claims, but those, those claims most likely will never get paid. Or if they will, they’re going to get pennies on the dollar. Joel Saxum: Yeah. And I would imagine like, so, you know, when we, when we sit here and say from the weather guard hat, right? We put a. They go to a client, net 15, net 30, we expect to get paid in that amount of time. That’s kind of how our, basically US forwarding credit to someone else. That’s how it works. And if you work within the wind industry, you know that the OEMs, because they are the OEMs, they have a heavier hand. Sometimes they’re net 90, net one 20. Um, once they, once they’re cool with your invoice. So you could see that some of these people that have, [00:09:00] uh, and TPI falls within that OEM category, right? Um, you can see that they more than likely will have had longer, more favorable terms for themselves with some of these sub-suppliers. And the sub-suppliers are, think about TPI blades. It is composites, it is fabric, it’s resins, it’s all of those supply companies. Um, and you know, there may be, uh, some other. Dead in there that you’re not, we’re not sure of. We saw some stuff with some OEMs, maybe they have some exchange agreements you paid up front for some blades or something of that sort. You didn’t get ’em. I don’t know. But there is also, and this is the one that kind of hits home to some of our listeners, um, not only some of our listeners are those supply chain companies that support them, um, but a lot of them are ISPs. Right? So we were just talking to someone who, you know, just a couple weeks ago that had done some inspection work, uh, for, for TPI that. They’re not gonna get paid for it. Um, we have seen on the creditors list of some ISPs that we know they’re not gonna get paid, and those are people out [00:10:00] doing warranty repairs and those kind of things over a course of time. And they may have had a net 30, net 60, net 90 days payment, but I’m sure that stuff is well and long gone. They probably have invoices due for a year now. Uh, but it, this, the, the, this downfall of TPI, what’s going on with them, it affects a lot of people in the wind industry. Um. Be being, having been on the short end once in my career of an unsecured debt, uh, when a, when the client or the, uh, um, purchaser of services, but went into bankruptcy and losing a whole bunch of cash, and there’s nothing you can do about it, um, except for. Be mad and stew over it and learn from your mistakes. Uh, that’s a tough place to be. Speaker 5: Australia’s wind farms are growing fast, but are your operations keeping up? Join us February 17th and 18th at Melbourne’s Poolman on the park for Wind energy o and m Australia [00:11:00] 2026, where you’ll connect with the experts solving real problems in maintenance asset management. And OEM relations. Walk away with practical strategies to cut costs and boost uptime that you can use the moment you’re back on site. Register now at W OM a 2020 six.com. Wind Energy o and m Australia is created by wind professionals for wind professionals because this industry needs solutions, not speeches, Allen Hall: the problem. With TPI has been keeping the doors open and they went in front of the court and said, we have a liquidity problem. Uh, Vestus bought those two factories, those two LLCs for $10 million each. That was the agreement During that transaction, TPI asked for another $55 million, uh, and it’s in the transcripts. You can go listen to this dental, listen to it, but obviously the vest representatives were. No [00:12:00] way. We’re not doing that. We are in good faith. De decided to buy, uh, these two pieces. So 10 million bucks a, a factory is. Pretty decent price, but they are still in a liquidity challenge. So GE Renova and Vestus, uh, don’t want the Blades manufacturing to stop. They have customers who need blades and so they need these TPI factories to keep running. GE Renova is providing emergency financing. Uh, through what the court calls, uh, Erna, G-E-R-N-A, it’s a liquidity agreement. Uh, they also signed a long lead materials agreement to keep raw materials moving into the plants. Vestas provided cash advances to keep production going at the Mexico facilities also. So for now, everything continues to be running, but essentially GE and Vestas are pro paying for the materials. To keep the production line going and there’s this, there’s on the back end of this TPI is essentially. Gonna charge, um, [00:13:00] GE vest less for the blades when they roll off the line because they advanced some those funds. So, TPI as an organization is still trying to continue to produce blades and trying to honor their commitments as much as they can, but they need cash and the, the place they’re going to go get it or have been getting it from as Vestas in GE Renova. So you Joel Saxum: one would expect that either Vestas or GE Renova would eventually just say like, we’ve got to buy you. Is that a reality? Because it doesn’t seem like it from the court documents and stuff. It seems like they’re, they’re kind of, they don’t want to get their hands into back or back into, in GEs case, this blade manufacturing, uh, faculties, right? They’re okay right now providing cash for you guys to keep your operation running and providing us with the things we need. But we don’t actually want to take it over. That’s what it feels Allen Hall: like. Uh, well, Vestus did, right? So Vestus took over two factories in Mexico. GE has not done [00:14:00] that yet, and there’s no indication from the proceedings that I read on all the documents that GE has made any move to do that. Vestus definitely stepped in and wants to keep the two factories running, uh, with the issues with ge, Renova and LM at the minute, and there was a lot of layoffs at LM just before the new year. It’s a question of what GE will do, and it doesn’t seem like as of right now, GE is going to buy factories. Now that being said, uh, TPI composites has deadlines to meet and some auctions to run. Uh, the remaining assets, the non vestus. Portion and the, the Turkish operations, which were sold way earlier, uh, all of the remaining assets go up for bid on January 26th. And if no outside buyer steps in, which is very possible, Oak Tree Capital can use its debt as currency to take ownership of from what is called a credit bid. [00:15:00] From there, uh, the secure lender could convert that debt into equity and, and so basically what happens is Oak Tree Capital. Would be the holder of the company for whatever remains. But you would think that GE Viva, uh, would want to have some piece of this to keep the blade factories running, but there’s no indication of that. No one from GE has said anything. None of the filings indicate that GE wants to go ahead and or ge. Viva wants to go ahead and buy the factories. Nothing like that has happened. So there may be, uh, some more financial transactions at play here, but as of right now, everything that remains for TPI composites is gonna be in the auction block. Someone could walk up and for several million dollars, obviously, uh, acquire it and Joel Saxum: in theory run it. So, I mean, Alan, you and I talked about this this morning a little bit. We have seen more [00:16:00] layoffs at lm. Right. We saw more people depart and it sounds like that building is basically a ghost town over in Denmark. GE is basically scuttling LM down to nothing, and they will more than likely either sell off whatever LM has or discontinue whatever that business model is, if that’s where they’re going, blade wise, wind wise. At the same time, they’ve also said, we’re not building any more g offshore turbines. Allen Hall: What are they Joel Saxum: doing? I don’t see them having the, the, the, the thirst to go scoop up or put any money into TPI, but it’s like a catch 22. ’cause they need them to fulfill the orders and stuff that they have. Right now what we’re staring at is basically oak tree composites. Allen Hall: There’s no chance of that. The oak tree doesn’t know how to run that business. They’re gonna have to hire somebody to go do that. Even if they did, you still got factories in Iowa, a bunch in Mexico, other [00:17:00] places. You have all these assets kind of spread all over the place. It’s not like running an automotive dealership on the corner, you’re, you’re running a major operation with thousands of employees and producing these massively complex blades. There’s only a handful of companies that would be even possible that we could acquire that and run it with any competency at all right now. Joel Saxum: So does oak tree being, being that oak tree is the debtor in possession and if, if possible with, or if possible, if it, if it rolls this way with the plan toggle, right. Where they would basically, the cell would convert them into equity holdings and they would own it. Are they the gatekeepers to who can bid? Like do they control ge? You can bid vest as you can bid? Or does the court control that? Allen Hall: The court controls all of that. So it’s all part of the chapter 11 proceedings. Anybody can walk up and put a bid in. And now whether it qualifies or not is, is a good question, but anybody can walk up and, [00:18:00] and make a claim for what remains. There’s, there is a process that will happen there, but who else would it be? Nordex? I don’t think so. Is is Vesta gonna buy more? I don’t think so. So the concern is obviously for TPI, what is it gonna look like going forward? If you have purchased Vestus turbines or GE Renova turbines, are you gonna have the blades that you have purchased in time? Great questions to ask. I think on the other side is if you do own GE Renova or Vestus turbines and they’re made by TPI, where the technical aspects lie, what do you do where, what should you be thinking about if you’re a large operator of some of these turbines? How I should be planning for the future here? What are you thinking about? Joel Saxum: So let’s divide it into two categories. One of them is turbine blades on order supply chain, supply [00:19:00] chain, and the other one’s being turbine blades already in production or received order. Yolanda Padron: I’m not sure that we can fully look at them separately though, right? Because if you have them, if, if they’re yours and they’re under a service agreement or something. Eventually you might be in the queue for a replacement that you need, right? That your OEM would be on the hook for. Joel Saxum: That raises another question there then does. I don’t, ’cause I don’t know this. Maybe you do. Alan does a bankruptcy qualify as a force majeure event? Allen Hall: Not in terms of like lightning would be, but, but in terms, yeah, sure. Joel Saxum: Yeah. But can they claim force majeure and be like, uh, out of our control? So now the turbine supply agreements are, you know, basically have to be rewritten. Timelines have to be rewritten. Yolanda, to your point, if we have a blade that we need for production, am I not responsible for LDS anymore because the blade manufacturer went into, uh, bankruptcy? Yolanda Padron: I think it’d be more of [00:20:00] either Now you’re not just. In the queue for TPI Blades. But you’re in the queue for whatever we can retrofit there, right? That they could put in. Joel Saxum: Yeah. The alternative is you need a whole set though, right? So if we say like, I need a blade from TPI, or I need an entire set of LM blades, now you’re triple the cost. Who has to pay for that? Yolanda Padron: I really would hope that it, they wouldn’t go this route, but I think some OEMs would just hit liquidated damages. And stop. Allen Hall: That’s what I think too. I mean, we’ve seen that happen with some of the OEMs. Is that the, uh, LDS and that’s it. There is nothing going forward. They’re, they’re fine doing that. That’s the only play that they have. I, I am deeply concerned what GE Renova is about to do in the wind business because of their gas turbine and everything else are so profitable. And they just announced that the wind business in 2026 is not likely to make any. Positive cash flow. [00:21:00] It, the, the discussion inside of GE Renova, at least at the sort of the boardroom level, must be really tense because in, in theory, they could buy TPIs assets in the factories and run them, but they just went through essentially a liquidation process with lm. Do they want to run another company, especially when they’re bleeding cash in that particular business? I think the answer GE historically has been no. If we’re not number one or number two, we’re getting the heck outta that business. That was the Jack Welsh of running ge, and anybody that worked for GE knew that loud and clear because they said it all the time. Those same people that grew up in that GE culture are now in the boardroom, and what are they likely to do? They’re likely to follow that advice. Because it’s just what they know. It’s, it’s, it’s, it’s the school they went to. Are they gonna change their mind and say, A longer term play is wind [00:22:00] and we wanna stay in it and we’re willing to lose a couple hundred million dollars a year for the next couple of years, and now we’re gonna run a Blade Factory with several thousand employees down in Mexico. I just don’t see it. Uh, not that I could be totally wrong about that. Probably am. Uh, today, sitting at the beginning of January of 2026, I don’t think GE Renova wants to be in the blade manufacturing business if they can at all avoid it. Yolanda Padron: I think it’s important for owners to start thinking a lot more about educating their internal teams on what they can. So if it’s through, if you know people within your OEM that you can trust and that can help you. Learn how to self-service some of your blades. That would be great if it’s through ISPs that you can trust. If it’s a hodgepodge of items. I think it’s really important for owners right now to start building that up because it will take a while. I. And, and the risk [00:23:00] is there. Allen Hall: That wraps up another episode of the Uptime Wind Energy Podcast, and if today’s discussion sparked any questions or ideas, we’d love to hear from you. Reach out to us on LinkedIn and don’t forget to subscribe so you never miss an episode. And if you found value in today’s conversation, please leave us overview. It really helps other wind energy professionals discover the show. And we will catch you here next week on the Uptime Wind Energy Podcast.

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Prensa económica: La anomalía confiscatoria de España

Play Episode Listen Later Jan 5, 2026 5:52

Daniel Muñoz comenta con Luis F. Quintero toda la actualidad económica centrada en el informe de LM sobre el infierno fiscal español

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TGOFV's Ins and Outs of 2026

Latent Space: The AI Engineer Podcast â€” CodeGen, Agents, Computer Vision, Data Science, AI UX and all things Software 3.0

Play Episode Listen Later Jan 1, 2026 55:01

In the days of auld lang syne, everybody!? Join Spencer, Ty, and Andy as they usher in another new year with another round of Ins and Outs, including low-waisted pants, political assassins, and who's still going to be considered white in the next 365 days. Support us on Patreon for $5, $7, or $10: www.patreon.com/tgofv. TGOFV Theme by World Record Pace. A big shout-out to our $10/month patrons: Abbie Phelps, Adam W, Anthony Cabrera, asdf, Axon, Baylor Thornton, Bedi, bernventers, bunknown, Celeste, Charles Doyle, Dane Stephen, Dave Finlay, David Gebhardt, Dean, Francis Wolf, Heather-Pleather, Jacob Sauber-Cavazos, James Lloyd-Jones, Jennifer Knowles, Jeremy-Alice, Josh O'Brien, Kilo, LM, Lawrence, Louis Ceresa, Malek Douglas, Newmans Own, Packocamels, Phat Ass Cyberman, Rach, raouldyke, Rebecca Kimpel, revidicism, Sam Thomas, T, Tash Diehart, Themandme, Tomix, weedworf, William Copping, and Yung Zoe!

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Để Chúa Đến (Sáng tác- Lm. Nguyễn Duy) - Phê-rô Anh Vinh - Giu-se Tuấn Thành (Piano) - YouTube (1)

Radio TGP Hà Nội

Play Episode Listen Later Dec 28, 2025 4:43

Để Chúa Đến (Sáng tác- Lm. Nguyễn Duy) - Phê-rô Anh Vinh - Giu-se Tuấn Thành (Piano) - YouTube (1) by TGP Hà Nội

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⚡️GPT5-Codex-Max: Training Agents with Personality, Tools & Trust — Brian Fioca + Bill Chen, OpenAI

Play Episode Listen Later Dec 26, 2025

From the frontlines of OpenAI's Codex and GPT-5 training teams, Bryan and Bill are building the future of AI-powered coding—where agents don't just autocomplete, they architect, refactor, and ship entire features while you sleep. We caught up with them at AI Engineer Conference right after the launch of Codex Max, OpenAI's newest long-running coding agent designed to work for 24+ hours straight, manage its own context, and spawn sub-agents to parallelize work across your entire codebase. We sat down with Bryan and Bill to dig into what it actually takes to train a model that developers trust—why personality, communication, and planning matter as much as raw capability, how Codex is trained with strong opinions about tools (it loves rg over grep, seriously), why the abstraction layer is moving from models to full-stack agents you can plug into VS Code or Zed, how OpenAI partners co-develop tool integrations and discover unexpected model habits (like renaming tools to match Codex's internal training), the rise of applied evals that measure real-world impact instead of academic benchmarks, why multi-turn evals are the next frontier (and Bryan's "job interview eval" idea), how coding agents are breaking out of code into personal automation, terminal workflows, and computer use, and their 2026 vision: coding agents trusted enough to handle the hardest refactors at any company, not just top-tier firms, and general enough to build integrations, organize your desktop, and unlock capabilities you'd never get access to otherwise. We discuss: What Codex Max is: a long-running coding agent that can work 24+ hours, manage its own context window, and spawn sub-agents for parallel work Why the name "Max": maximalist, maximization, speed and endurance—it's simply better and faster for the same problems Training for personality: communication, planning, context gathering, and checking your work as behavioral characteristics, not just capabilities How Codex develops habits like preferring rg over grep, and why renaming tools to match its training (e.g., terminal-style naming) dramatically improves tool-call performance The split between Codex (opinionated, agent-focused, optimized for the Codex harness) and GPT-5 (general, more durable across different tools and modalities) Why the abstraction layer is moving up: from prompting models to plugging in full agents (Codex, GitHub Copilot, Zed) that package the entire stack The rise of sub-agents and agents-using-agents: Codex Max spawning its own instances, handing off context, and parallelizing work across a codebase How OpenAI works with coding partners on the bleeding edge to co-develop tool integrations and discover what the model is actually good at The shift to applied evals: capturing real-world use cases instead of academic benchmarks, and why ~50% of OpenAI employees now use Codex daily Why multi-turn evals are the next frontier: LM-as-a-judge for entire trajectories, Bryan's "job interview eval" concept, and the need for a batch multi-turn eval API How coding agents are breaking out of code: personal automation, organizing desktops, terminal workflows, and "Devin for non-coding" use cases Why Slack is the ultimate UI for work, and how coding agents can become your personal automation layer for email, files, and everything in between The 2026 vision: more computer use, more trust, and coding agents capable enough that any company can access top-tier developer capabilities, not just elite firms — Bryan & Bill (OpenAI Codex Team) http://x.com/bfioca https://x.com/realchillben OpenAI Codex: https://openai.com/index/openai-codex/ Where to find Latent Space X: https://x.com/latentspacepod Substack: https://www.latent.space/ Chapters 00:00:00 Introduction: Latent Space Listeners at AI Engineer Code 00:01:27 Codex Max Launch: Training for Long-Running Coding Agents 00:03:01 Model Personality and Trust: Communication, Planning, and Self-Checking 00:05:20 Codex vs GPT-5: Opinionated Agents vs General Models 00:07:47 Tool Use and Model Habits: The Ripgrep Discovery 00:09:16 Personality Design: Verbosity vs Efficiency in Coding Agents 00:11:56 The Agent Abstraction Layer: Building on Top of Codex 00:14:08 Sub-Agents and Multi-Agent Patterns: The Future of Composition 00:16:11 Trust and Adoption: OpenAI Developers Using Codex Daily 00:17:21 Applied Evals: Real-World Testing vs Academic Benchmarks 00:19:15 Multi-Turn Evals and the Job Interview Pattern 00:21:35 Feature Request: Batch Multi-Turn Eval API 00:22:28 Beyond Code: Personal Automation and Computer Use 00:24:51 Vision-Native Agents and the UI Integration Challenge 00:25:02 2026 Predictions: Trust, Computer Use, and Democratized Excellence

trust ai planning tools personality efficiency openai chen gpt ui codex zed lm github copilot vs code tool use openai codex max training

Yule Detective E1: "The Man In Red"

Play Episode Listen Later Dec 25, 2025 38:54

Yule City. Three months before Christmas. Children are disappearing mysteriously, almost as if taken by the winter winds themselves. Two cops -- Cash Humbug and Nick Klaussman -- will put it all on the line to discover where those kids have gone... even if it goes all the way to the North Pole. STARRING: Spencer Barrows as Det. Cash Humbug, Andy as Det. Nicholas Klaussman, Liv Agar as Kristen Kringle, John Moe as Commissioner Noel Noelle, Patrick Doran as Det. Chris Miss, Charles Austin as "Rocking" Harvey Evergreen, Raina Douris as Nancy Rudolph, Ty Wood as Narrator, and Clay Parks as Everyone Else. Listen to the rest of the series on Patreon for $5, $7, or $10: www.patreon.com/tgofv. A big shout-out to our $10/month patrons: Abbie Phelps, Adam W, Anthony Cabrera, asdf, Axon, Baylor Thornton, Bedi, bernventers, bunknown, Celeste, Charles Doyle, Dane Stephen, Dave Finlay, David Gebhardt, Dean, Francis Wolf, Heather-Pleather, Jacob Sauber-Cavazos, James Lloyd-Jones, Jennifer Knowles, Jeremy-Alice, Josh O'Brien, Kilo, LM, Lawrence, Louis Ceresa, Malek Douglas, Newmans Own, Packocamels, Phat Ass Cyberman, Rach, raouldyke, Rebecca Kimpel, revidicism, Sam Thomas, T, Tash Diehart, Themandme, Tomix, weedworf, William Copping, and Yung Zoe!

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Prensa económica: El gran drama del sanchismo en 2025, España sigue sin prosperar

Play Episode Listen Later Dec 24, 2025 10:27

LM publica un detallado informe de balance sobre lo que ha sido económicamente 2025 y lo nocivo que está siendo Sánchez para nuestra economía.

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Vestas Buys TPI Assets, GE Supply Chain in Doubt

VOV - Chương trình thời sự

Play Episode Listen Later Dec 23, 2025 30:53

Allen, Joel, Rosemary, and Yolanda break down the TPI Composites bankruptcy fallout. Vestas is acquiring TPI’s Mexico and India operations while a UAE company picks up the Turkish factories. That leaves GE in a tough spot with no clear path to blade manufacturing. Plus the crew discusses blade scarcity, FSA availability floors, and whether a new blade manufacturer could emerge. Sign up now for Uptime Tech News, our weekly email update on all things wind technology. This episode is sponsored by Weather Guard Lightning Tech. Learn more about Weather Guard’s StrikeTape Wind Turbine LPS retrofit. Follow the show on Facebook, YouTube, Twitter, Linkedin and visit Weather Guard on the web. And subscribe to Rosemary Barnes’ YouTube channel here. Have a question we can answer on the show? Email us! Allen Hall: [00:00:00] Welcome to the Uptime Wind Energy Podcast. I’m your host, Allen Hall. I’ve got Yolanda Padron and Joel Saxum in Texas. And Rosemary Barnes is back from her long Vacation in Australia and TPI. Composites is big in the news this week, everybody, because they’re in bankruptcy hearings and they are selling off parts of the business. Vestas is, at least according to News Reports positioned to acquire. A couple of the LLCs down in Mexico. So there’s uh, two of them, TPI in Mexico, five LLC, and TPI in Mexico, six LLC. There are other LLCs, of course involved with this down in Mexico. So they’re buying, not sure exactly what the assets are, but probably a couple of the factories in which their blades were being manufactured in. Uh, this. Is occurring because Vestas stepped in. They were trying to have an auction and Vestas stepped forward and just ended up buying these two LLCs. [00:01:00] Other things that are happening here, Joel, is that, uh, TPI evidently sold their Turkish division. Do you recall to who they sold? That, uh, part of the Joel Saxum: business too, two companies involved in that, that were TPI Turkey, uh, and that was bought by a company called XCS composites. Uh, and they are out of the United Arab Emirates, so I believe they’re either going to be Abu Dhabi or Dubai based. Uh, but they took over the tube wind blade manufacturing plants in Isme, uh, also a field service and inspection repair business. And around 2,700 employees, uh, from the Turkish operation. So that happened just, just after, I mean, it was a couple weeks after the bankruptcy claim, uh, went through here in August, uh, in the States. So it went August bankruptcy for TPI, September, all the Turkish operations were bought and now we’ve got Vestas swooping in and uh, taking a bunch of the Mexican operations. Allen Hall: Right. And [00:02:00] Vestas is also taking TPI composites India. Which is a part of the business that is not in bankruptcy, uh, that’s a, a separate business, a separate, basically LLC incorporation Over in India, the Vestus is going to acquire, so they’re gonna acquire three separate things in this transaction. The question everybody’s asking today after seeing this Vestus move is, what is GE doing? Because, uh, GE Renova has a lot of blades manufactured by TPI down in Mexico. No word on that. And you would think if, if TPI is auctioning off assets that GE renova would be at the front of the line, but that’s not what we’re hearing on the ground. Joel Saxum: Yeah, I mean it’s, the interesting part of this thing is for Vestas, TPI was about 35% of their blade capacity for manufacturing in 2024. If their 30, if, if Vestas was 35%, then GE had to be 50%. There [00:03:00] demand 60. So Vesta is making a really smart move here by basically saying, uh, we’ve gotta lock down our supply chain for blades. We gotta do something. So we need to do this. GE is gonna be the odd man out because, I mean, I think it would be a, a cold day in Denmark if Vestas was gonna manufacture blades for ge. Allen Hall: Will the sale price that Vest has paid for this asset show up in the bankruptcy? Hearings or disclosures? I think that it would, I haven’t seen it yet, but eventually it’ll, it must show up, right? All, all the bankruptcy hearings and transactions are, they have an overseer essentially, what happens to, so TPI can’t purchase or sell anything without an, um, getting approved by the courts, so that’ll eventually be disclosed. Uh, the Turkish sale will be, I would assume, would be disclosed. Also really curious to see what the asset value. Was for those factories. Joel Saxum: So the Turkish sale is actually public knowledge right now, and [00:04:00] that is, lemme get the number here to make sure I get it right. 92.9 million Euros. Uh, but of, of course TPI laden with a bunch of non-convertible and convertible debt. So a ton of that money went right down to debt. Uh, but to be able to purchase that. They had to assu, uh, XCS composites in Turkey, had to assume debt as is, uh, under the bankruptcy kind of proceedings. So I would assume that Vestas is gonna have to do the same thing, is assume the debt as is to take these assets over and, uh, and assets. We don’t know what it is yet. We don’t know if it’s employees, if it’s operations, if it’s ip, if it’s just factories. We don’t know what’s all involved in it. Um, but like you said, because. TPI being a publicly traded company in the United States, they have to file all this stuff with SEC. Allen Hall: Well, they’ll, they’re be delisted off of. Was it, they were Joel Saxum: in Nasdaq? Is that where they were listed? The India stuff that could be private. You may ne we may not ever hear about what happened. Valuation there. Allen Hall: Okay, so what is the, the [00:05:00] future then for wind blade production? ’cause TPI was doing a substantial part of it for the world. I mean, outside of China, it’s TPI. And LM a little bit, right? LM didn’t have the capacity, I don’t think TPI that TPI does or did. It puts Joel Saxum: specifically GE in a tight spot, right? Because GEs, most of their blades were if it was built to spec or built to print. Built to spec was designed, uh, by LM and built by lm. But now LM as we have seen in the past months year, has basically relinquished themselves of all of their good engineering, uh, and ability to iterate going forward. So that’s kind of like dwindling to an end. TPI also a big side of who makes blades for ge if Vestas is gonna own the majority of their capacity, Vestas isn’t gonna make blades for ge. So GEs going to be looking at what can we, what can we still build with lm? And then you have the kind of the, the odd ducks there. You have the Aris, [00:06:00] you have the MFG, um, I mean Sonoma is out there. This XCS factory is there still in Turkey. Um, you may see some new players pop up. Uh, I don’t know. Um, we’ll see. I mean, uh, Rosemary, what’s, what’s your take? Uh, you guys are starting to really ramp up down in Australia right now and are gonna be in the need of blades in general with this kind of shakeup. Rosemary Barnes: What do we say? My main concern is. Around the service of the blades that we’ve already got. Um, and when I talk to people that I know at LM or XLM, my understanding is that those parts of the organization are still mostly intact. So I actually don’t expect any big changes there. Not to say that the status quo. Good enough. It’s not like, like every single OEM whose, um, FSAs that I work with, uh, support is never good enough. But, um, [00:07:00] it shouldn’t get any worse anyway. And then for upcoming projects, yeah, I, I don’t know. I mean, I guess it’s gonna be on a case by case basis. Uh, I mean, it always was when you got a new, a new project, you need a whole bunch of blades. It was always a matter of figuring out which factory they were going to come from and if they had capacity. It’ll be the same. It’s just that then instead of, you know, half a dozen factories to choose from, there’s like, what, like one or two. So, um, yeah, I, that’s, that’s my expectation of what’s gonna happen. I presumably ge aren’t selling turbines that they have no capability to make blades for. Um, so I, I guess they’re just gonna have a lot less sales. That’s the only real way I can make it work. Allen Hall: GE has never run a Blade factory by themselves. They’ve always had LM or somebody do it, uh, down in Brazil or TPI in Mexico or wherever. Uh, are we thinking that GE Renova is not gonna run a Blade Factory? Is that the thought, or, or is [00:08:00] that’s not in the cards either. Rosemary Barnes: I don’t think it’s that easy to just, just start running a Blade Factory. I mean, I know that GE had blade design capabilities. I used to design the blades that TPI would make. So, um, that part of it. Sure. Um, they can, they can still do that, but it’s not, yeah, it’s, it’s not like you just buy a Blade factory and like press start on the factory and then the, you know, production line just starts off and blades come out the other end. Like there is a lot of a, a lot of knowhow needed if that was something that they wanted to do. That should have been what they started doing from day one after they bought lm. You know, that was the opportunity that they had to become, you know, a Blade factory owner. They could have started to, you know, make, um, have GE. Take up full ownership of the, the blade factories and how that all worked. But instead, they kept on operating like pretty autonomously without that many [00:09:00] changes at the factory level. Like if they were to now say, oh, you know, hey, it’s, uh, we really want to. Have our own blade factories and make blades. It’s just like, what the hell were you doing for the last, was it like seven years or something? Like you, you could easily have done what? And now you haven’t made it as hard for yourselves as possible. So like I’m not ruling out that that’s what they’re gonna try and do, because like I said, I don’t think it’s been like executed well, but. My God, it’s like even stupid of the whole situation. If that’s where we end up with them now scrambling to build from scratch blade, um, manufacturing capability because there’s Yolanda Padron: already a blade scarcity, right? Like at least in the us I don’t know if you guys are seeing it in, in Australia as well, but there’s a blade scarcity for these GE blades, right? So you’re, they kind of put themselves in an even more tough spot by just now. You, you don’t have access to a lot of these TPI factories written in theory. From what we’re seeing. You mean to get like replacement blades? Yeah. So like for, for issues? Yeah. New [00:10:00] construction issues under FSA, that, Rosemary Barnes: yeah. I mean, we’ve always waited a, a long time for new blades. Like it’s never great. If you need a new blade, you’re always gonna be waiting six months, maybe 12 months. So that’s always been the case, but now we are seeing delays of that. Maybe, maybe sometimes longer, but also it’s like, oh well. We can’t replace, like, for like, you’re gonna be getting a, a different kind of blade. Um, that will work. Um, but you know, so that is fine, except for that, that means you can’t do a single blade replacement anymore. Now, what should have been a single blade replacement might be a full set replacement. And so it does start to really, um, yeah. Mess things up and like, yeah, it’s covered by the FSA, like that’s on them to buy the three blades instead of one, but. It does matter because, you know, if they’re losing money on, um, managing your wind farm, then it, it is gonna lead to worse outcomes for you because, you know, they’re gonna have to skimp and scrape where they [00:11:00] can to, you know, like, um, minimize their losses. So I, I don’t think it’s, it’s, it’s Yolanda Padron: not great. Yeah. And if you’re running a wind farm, you have other stakeholders too, right? It’s not like you’re running it just for yourself. So having all that downtime from towers down for a year. Because you can’t get blades on your site. Like it’s just really not great. Rosemary Barnes: Yeah, and I mean, there’s flaws on there. Like they’ve got an availability guarantee. Then, you know, below that they do have to, um, pay for that, those losses. But there’s a flaw on that. So once you know, you, you blast through the floor of your availability, then you know, that is on the owner. Now it’s not on the, um, service provider. So it’s definitely. Something that, yeah, there’s lots of things where you might think, oh, I don’t have to worry about my blades ’cause I’ve got an F, SA, but you know, that’s just one example where, okay, you will, you will start worrying if they, they yeah. Fall through the floor of their availability guarantee. Joel Saxum: Two questions that pop up in my mind from this one, the first one, the first one is [00:12:00] directly from Alan. You and I did a webinar, we do so many of ’em yesterday, and it was about, it was in the nor in North America, ferc, so. They have new icing readiness, uh, reporting you, so, so basically like if you’re on the, if you’re connected to the grid, you’re a wind farm or solar farm and you have an icing event, you need to explain to them why you had an outage, um, and why, what you’re doing about it. Or if you’re not doing something about it, you have to justify it. You have to do all these things to say. Hey, some electrons weren’t flowing into the grid. There’s certain levels. It’s much more complicated than this, but electrons weren’t flowing into the grid because of an issue. We now have to report to FERC about this. So is there a stage when a FERC or uh, some other regulatory agency starts stepping into the wind industry saying like, someone’s gotta secure a supply chain here. ’cause they’re already looking at things when electrons are on the grid. Someone’s got a secure supply chain here so we can ensure that [00:13:00]these electrons are gonna get on the grid. Could, can something like that happen or was, I mean, I mean, of course that’s, to me, in my opinion, that’s a lot of governmental overreach, but could we see that start to come down the line like, Hey, we see from an agency’s perspective, we see some problems here. What are you doing to shore this up? Allen Hall: Oh, totally. Right. I, I think the industry in general has an issue. This is not an OEM specific problem. At the minute, if this is a industry-wide problem, there seems to be more dispersed. Manufacturers are gonna be popping up. And when we were in Scotland, uh, we learned a lot more about that. Right, Joel? So the industry has more diversification. I, I, here’s, here’s my concern at the minute, so. For all these blade manufacturers that we would otherwise know off the top of our heads. Right. Uh, lm, TPI, uh, Aris down in Brazil. The Vestus manufacturing facilities, the Siemens manufacturing [00:14:00] facilities. Right. You, you’re, you’re in this place where. You know, everybody’s kind of connected up the chain, uh, to a large OEM and all this made sense. You know, who was rebuilding your blades next year and the year down, two years down the road. Today you don’t, so you don’t know who owns that company. You don’t know how the manager’s gonna respond. Are you negotiating with a company that you can trust’s? Gonna be there in two or three years because you may have to wait that long to get blades delivered. I don’t know. I think that it, it put a lot of investment, uh, companies in a real quandary of whether they wanna proceed or not based upon the, what they is, what they would perceive to be the stability of these blade companies. That’s what I would think. I, I, Vestas is probably the best suited at the minute, besides Siemens. You know, Vestas is probably best suited to have the most perceived reliability capability. Control, Joel Saxum: but they have their own [00:15:00] blade factories already, right? So if they buy the TPI ones, they’re just kind of like they can do some copy pasting to get the the things in place. And to be honest with you, Vesta right now makes the best blades out there, in my opinion, least amount of serial defects. Remove one, remove one big issue from the last couple Allen Hall: years. But I think all the OEMs have problems. It’s a question of how widely known those problems are. I, I don’t think it’s that. I think the, the, the. When you talk to operators and, and they do a lot of shopping on wind turbines, what they’ll tell you generally is vestus is about somewhere around 20% higher in terms of cost to purchase a turbine from them. And Vestus is gonna put on a, a full service agreement of some sort that’s gonna run roughly 30 years. So there’s a lot of overhead that comes with buying a, a Vestas turbine. Yes. You, you get the quality. Yes. You get the name. Yes, you get the full service agreement, which you may or [00:16:00] may not really want over time. Uh, that’s a huge decision. But as pieces are being removed from the board of what you can possibly do, there’s it, it’s getting narrow or narrow by the minute. So it, it’s either a vestus in, in today’s world, like right today, I think we should talk about this, but it’s either Vestus or Nordic. Those are the two that are being decided upon. Mostly by a lot of the operators today. Joel Saxum: That’s true. We’re, and we just saw Nordex, just inked a one gigawatt deal with Alliant Energy, uh, just last week. And that’s new because Alliant has traditionally been a GE buyer. Right. They have five or six ge, two X wind farms in the, in the middle of the United States, and now they’ve secured a deal with Nordex for a gigawatt. Same thing we saw up at Hydro Quebec. Right. Vestas and Nordex are the only ones that qualify for that big, and that’s supposed to be like a 10 gigawatt tender over time. Right. But the, so it brings me to my, I guess my other question, I was thinking about this be [00:17:00] after the FERC thing was, does do, will we see a new blade manufacturer Allen Hall: pop Joel Saxum: up? Allen Hall: No, I don’t think you see a new one. I think you see an acquisition, uh, a transfer of assets to somebody else to run it, but that is really insecure. I, I always think when you’re buying distressed assets and you think you’re gonna run it better than the next guy that. Is rare in industry to do that. Think about the times you’ve seen that happen and it doesn’t work out probably more than 75% of the time. It doesn’t work out. It lasts a year or two or three, and they had the same problems they had when the original company was there. You got the same people inside the same building, building the same product, what do you think is magically gonna change? Right? You have this culture problem or a a already established culture, you’re not likely to change that unless you’re willing to fire, you know, a third of the staff to, to make changes. I don’t see anybody here doing that at the minute because. Finding wind blade technicians, manufacturing people is [00:18:00] extremely hard to do, to find people that are qualified. So you don’t wanna lose them. Joel Saxum: So this is why I say, this is why I pose the question, because in my mind, in in recent wind history, the perfect storm for a new blade manufacturer is happening right now. And the, and the why I say this is there is good engineers on the streets available. Now washing them of their old bad habits and the cultures and those things, that’s a monumental task. That’s not possible. Allen Hall: Rosemary worked at a large blade manufacturer and it has a culture to it. That culture really didn’t change even after they were acquired by a large OEM. The culture basically Rosemary Barnes: remained, they bizarrely didn’t try and change that culture, like they didn’t try to make it a GE company so that it wasn’t dur, it was wasn’t durable. You know, they, they could have. Used that as a shortcut to gaining, um, blade manufacturing capabilities and they didn’t. And that was a, I think it was a choice. I don’t think it’s an inevitability. It’s never easy to go in and change a, a culture, [00:19:00] but it is possible to at least, you know, get parts of it. Um, the, the knowledge should, you should be able to transfer and then get rid of the old culture once you’ve done that, you know, like, uh. Yeah, like you, you bring it in and suck out all the good stuff and spit out the rest. They didn’t do that. Joel Saxum: The opportunity here is, is that you’ve got a, you’ve got people, there’s gonna be a shortage of blade capacity, right? So if you are, if you are going to start up a blade manufacturing facility, you, if you’re clever enough, you may be able to get the backlog of a bunch of orders to get running without having to try to figure it out as you go. Yolanda Padron: I feel like I’d almost make the case that like the blade repair versus replace gap or the business cases is getting larger and larger now, right? So I feel like there’s more of a market for like some sort of holistic maintenance team to come in and say, Hey, I know this OEM hasn’t been taking care of your blades really well, but here are these retrofits that have proven to be [00:20:00]to work on your blades and solve these issues and we’ll get you up and running. Rosemary Barnes: We are seeing more and more of of that. The thing that makes it hard for that to be a really great solution is that they don’t have the information that they need. They have to reverse engineer everything, and that is. Very challenging because like you can reverse engineer what a blade is, but it doesn’t mean that, you know, um, exactly like, because a, the blade that you end up with is not an optimized blade in every location, right? There’s some parts that are overbuilt and um, sometimes some parts that are underbuilt, which gives you, um, you know, serial issues. But, so reverse engineering isn’t necessarily gonna make it safe, and so that does mean that yeah, like anyone coming in with a really big, significant repair that doesn’t go through the OEM, it’s a, it’s a risk. It, it’s always a risk that they have, you know, like there’s certain repairs where you can reverse engineer enough to know that you’re safe. But any really big [00:21:00] one, um, or anything that involves multiple components, um, is. Is a bit of a gamble if it doesn’t go through the OEM. Joel Saxum: No, but so between, I guess between the comments there, Yolanda and Rosemary, are we then entering the the golden age of opportunity for in independent engineering experts? Rosemary Barnes: I believe so. I’m staking, staking my whole business on it. Allen Hall: I think you have to be careful here, everybody, because the problem is gonna be Chinese blade manufacturers. If you wanna try to establish yourself as a blade manufacturer and you’re taking an existing factory, say, say you bought a TPI factory in Turkey or somewhere, and you thought, okay, I, I know how to do this better than everybody else. That could be totally true. However, the OEMs are not committed to buying blades from you and your competition isn’t the Blade Factory in Denmark or in Colorado or North Dakota, or in Mexico or Canada, Spain, wherever your competition is when, [00:22:00] uh, the OEM says, I can buy these blades for 20 to 30% less money in China, and that’s what you’re gonna be held as, as a standard. That is what’s gonna kill most of these things with a 25% tariff on top. Right? Exactly. But still they’re still bringing Joel Saxum: blades in. That’s why I’m saying a local blade manufacturer, Rosemary Barnes: I think it’s less the case. That everyone thinks about China, although maybe a little bit unconventional opinion a about China, they certainly can manufacture blades with, uh, as good a quality as anyone. I mean, obviously all of the, um, Danish, uh, American manufacturers have factories in China that are putting out excellent quality blades. So I’m not trying to say that they dunno how to make a good blade, but with their. New designs, you know, and the really cheap ones. There’s a couple of, um, there’s a couple of reasons for that that mean that I don’t think that it just slots really well into just replacing all of the rest of the world’s, um, wind turbines. The first is that there are a lot of [00:23:00] subsidies in China. Surely there can only continue so long as their economy is strong. You know, like if their economy slows down, like to what extent are they gonna be able to continue to, um, continue with these subsidies? I would be a little bit nervous about buying an asset that I needed support for the next 30 years from a company like. That ecosystem. Then the other thing is that, um, that development, they move really fast because they take some shortcuts. There’s no judgment there. In fact, from a develop product development point of view, that is absolutely the best way to move really fast and get to a really good product fast. It will be pervasive all the way through every aspect of it. Um, non-Chinese companies are just working to a different standard, which slows them down. But also means that along the way, like I would be much happier with a half developed, um, product from a non-Chinese manufacturer than a half developed product from a Chinese manufacturer. The end point, like if China can keep on going long enough with this, [00:24:00] you know, like just really move fast, make bold decisions, learn everything you can. If they can continue with that long enough to get to a mature product, then absolutely they will just smash the rest of the world to pieces. So for me, it’s a matter of, um, does their economy stay strong enough to support that level of, uh, competition? Allen Hall: Well, no, that’s a really good take. It’s an engineering take, and I think the decision is made in the procurement offices of the OEMs and when they start looking at the numbers and trying to determine profitability. That extra 20% savings they can get on blades made in China comes into play quite often. This is why they’re having such a large discussion about Chinese manufacturers coming into the eu. More broadly is the the Vestas and the Siemens CAAs and even the GE Re Novas. No, it’s big time trouble because the cost structure is lower. It just is, and I. [00:25:00] As much as I would love to see Vestas and Siemens and GE Renova compete on a global stage, they can’t at the moment. That’s evident. I don’t think it’s a great time to be opening any new Blade Factory. If you’re not an already established company, it’s gonna be extremely difficult. Wind Energy O and M Australia is back February 17th and 18th at Melbourne’s Pullman on the park. Which is a great hotel. We built this year’s agenda directly from the conversations we’ve had in 2025 and tackling serial defects, insurance pressures, blade repairs, and the operational challenges that keeps everybody up at night around the world. So we have two days of technical sessions, interactive roundtables and networking that actually moves the industry for. Forward. And if you’re interested in attending this, you need to go to WMA 2020 six.com. It’s WOMA 2020 six.com. Rosemary, a lot of, uh, great events gonna happen at. W 2026. Why don’t [00:26:00] you give us a little highlight. Parlet iss gonna be there. Rosemary Barnes: Parlow is gonna be there. I mean, a highlight for me is always getting together with the, the group. And also, I mean, I just really love the size of the event that uh, every single person who’s there is interested in the same types of things that you are interested in. So the highlight for me is, uh, the conversations that I don’t know that I’m gonna have yet. So looking forward to that. But we are also. Making sure that we’ve got a really great program. We’ve got a good mix of Australian speakers and a few people bringing international experience as well. There’s also a few side events that are being organized, like there’s an operators only forum, which unfortunately none of us will be able to enter because we’re not operators, but that is gonna be really great for. For all of them to be able to get together and talk about issues that they have with no, nobody else in the room. So if, if you are an operator and you’re not aware of that, then get in touch and we’ll pass on your details to make sure you can join. Um, yeah, and people just, you know, [00:27:00] taking the opportunities to catch up with clients, you know, for paddle load. Most or all of our clients are, are gonna be there. So it is nice to get off Zoom and um, yeah, actually sit face to face and discuss things in person. So definitely encourage everyone to try and arrange those sorts of things while they’re there. Joel Saxum: You know, one of the things I think is really important about this event is that, uh, we’re, we’re continuing the conversation from last year, but a piece of feedback last year was. Fantastic job with the conversation and helping people with o and m issues and giving us things we can take back and actually integrate into our operations right away. But then a week or two or three weeks after the event, we had those things, but the conversation stopped. So this year we’re putting some things in place. One of ’em being like Rosemary was talking about the private operator forum. Where there’s a couple of operators that have actually taken the reins with this thing and they wanna put this, they wanna make this group a thing where they’re want to have quarterly meetings and they want to continue this conversation and knowledge share and boost that whole Australian market in the wind [00:28:00]side up right? Rising waters floats all boats, and we’re gonna really take that to the next level this year at Allen Hall: WMA down in Melbourne. That’s why I need a register now at Wilma 2020 six.com because the industry needs solutions. Speeches. That wraps up another episode of the Uptime Wind Energy Podcast. Thanks for joining us. We appreciate all the feedback and support we received from the wind industry. If today’s discussion sparked any questions or ideas, we’d love to hear from you. Just reach out to us on LinkedIn and please don’t forget to subscribe so you’d never miss an episode. For Joel Rosemary and Yolanda, I’m Allen Hall. We’ll catch you next week on the Uptime Wind Energy Podcast.

Thời sự 18h 22/12/2025: Khai mạc Hội nghị lần thứ 15 Ban Chấp hành Trung ương Đảng khoá 13

Play Episode Listen Later Dec 22, 2025 54:55

- Khai mạc Hội nghị lần thứ 15 Ban Chấp hành Trung ương Đảng khoá 13. Tổng Bí thư Tô Lâm phát biểu khai mạc Hội nghị.- Thủ tướng Phạm Minh Chính trao quyết định điều động ông Lê Mạnh Hùng, Chủ tịch Hội đồng thành viên Tập đoàn Petrovietnam giữ Quyền Bộ trưởng Bộ Công Thương.- Ngân hàng UOB (của Singapore) dự báo triển vọng kinh tế Việt Nam quý 1/2026 có thể đạt 7%.- Trải qua 81 năm xây dựng, chiến đấu và trưởng thành, Quân đội nhân dân Việt Nam thực sự là quân đội anh hùng của một dân tộc anh hùng; là lực lượng chính trị; lực lượng chiến đấu tuyệt đối trung thành, tin cậy của Đảng, Nhà nước và nhân dân.- Công an tỉnh Đắc Lắc bắt 10 đối tượng điều tra hành vi lừa đảo “tiền ảo” chiếm đoạt 1.300 tỷ đồng.

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Prensa económica: El cine español en 2025 tiene menos taquilla y más ayudas públicas

Play Episode Listen Later Dec 19, 2025 2:20

LM publica el dato de que el cine español cerrará 2025 con menos espectadores e ingresos. A pesar de este declive, el sector recibe más subvenciones.

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Radio thứ Bảy 20/12/2025 - Vatican News Tiếng Việt

Vatican News Tiếng Việt

Play Episode Listen Later Dec 19, 2025 29:35

Laudetur Jesus Christus - Ngợi khen Chúa Giêsu KitôRadio Vatican hằng ngày của Vatican News Tiếng Việt.Nội dung chương trình hôm nay:0:00 Bản tin14:13 Chia sẻ Lời Chúa : Lm. Giuse Trần Sĩ Nghị, SJ, chia sẻ Lời Chúa Chúa Nhật 4 Mùa Vọng22:28 Nữ tu trong Giáo hội : Lòng trắc ẩn của các Nữ tu Vinh Sơn dành cho trẻ em tại Nga---Những hình ảnh này thuộc Bộ Truyền Thông của Toà Thánh. Mọi sử dụng những hình ảnh này của bên thứ ba đều bị cấm và dẫn đến việc đánh bản quyền, trừ khi được cho phép bằng giấy tờ của Bộ Truyền Thông. Copyright © Dicasterium pro Communicatione - Giữ mọi bản quyền.

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Prensa económica: Bjorn Lomborg destroza el mito de las renovables

Play Episode Listen Later Dec 18, 2025 4:41

LM publica las declaraciones del experto danés sobre lo costosas e ineficientes que son las políticas "verdes": "No existe electricidad verde barata".

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Tiers in Heaven 32: Christmas Movies feat. Jackson Beer

Play Episode Listen Later Dec 18, 2025 61:16

Y'all ever give it up for a Hallmark boyfriend? Y'all ever pop it open for a good-natured townie who owns a bakery? Join Spencer, Ty, and Jackson as they catch up after a long absence, discuss Jackson's crippling addiction to 7OH, and even rank some Christmas classics as we get closer to the Big Day. Support us on Patreon for $5, $7, or $10: www.patreon.com/tgofv. A big shout-out to our $10/month patrons: Abbie Phelps, Adam W, Anthony Cabrera, asdf, Axon, Baylor Thornton, Bedi, bernventers, bunknown, Celeste, Charles Doyle, Dane Stephen, Dave Finlay, David Gebhardt, Dean, Francis Wolf, Heather-Pleather, Jacob Sauber-Cavazos, James Lloyd-Jones, Jennifer Knowles, Jeremy-Alice, Josh O'Brien, Kilo, LM, Lawrence, Louis Ceresa, Malek Douglas, Newmans Own, Packocamels, Phat Ass Cyberman, Rach, raouldyke, Rebecca Kimpel, revidicism, Sam Thomas, T, Tash Diehart, Themandme, Tomix, weedworf, William Copping, and Yung Zoe!

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Today in Lighting, 12 DEC 2025

Today in Lighting

Play Episode Listen Later Dec 12, 2025 1:56

Today in Lighting is brought to you by c-Max Lighting Controls, a simple, versatile, future ready and scalable technology by MaxLite. Learn more. Highlights include: The December Issue of LM&M Is Out Now! Lighting Industry Holiday Festivities in Atlanta GE Lighting Launches New Light + Form Series Moonlit Forest

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Radio thứ Bảy 13/12/2025 - Vatican News Tiếng Việt

Vatican News Tiếng Việt

Play Episode Listen Later Dec 12, 2025 33:40

Laudetur Jesus Christus - Ngợi khen Chúa Giêsu KitôRadio Vatican hằng ngày của Vatican News Tiếng Việt.Nội dung chương trình hôm nay:0:00 Bản tin17:27 Chia sẻ Lời Chúa : Lm. Đaminh Vũ Duy Cường, SJ, chia sẻ Lời Chúa Chúa Nhật 3 Mùa Vọng25:17 Nữ tu trong Giáo hội : “Living Ancestors”, cuốn sách kể về những Nữ tu châu Phi kiên cường, định hình đời tu ở châu Phi---Những hình ảnh này thuộc Bộ Truyền Thông của Toà Thánh. Mọi sử dụng những hình ảnh này của bên thứ ba đều bị cấm và dẫn đến việc đánh bản quyền, trừ khi được cho phép bằng giấy tờ của Bộ Truyền Thông. Copyright © Dicasterium pro Communicatione - Giữ mọi bản quyền.

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Prensa económica: Las razones por las que la condonación de deuda es una barbaridad legal y económica

Play Episode Listen Later Dec 11, 2025 3:37

LM publica un informe de Rotellar sobre las 11 razones por las que la condonación de deuda es una barbaridad legal y económica.

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Power Scalers 7: Every Time A Bell Rings

Play Episode Listen Later Dec 11, 2025 63:04

George Bailey didn't know what to do with all that. He didn't understand that Clarence was a nasty-ass PAWG. Join Spencer, Ty, and Andy as they pit all of your favorite Christmas monsters against each other: Santa, Rudolph, Hermie the Elf, Mrs. Claus, Yeti, Ralphie, Snow Miser, Loch Ness, a Grinch, a Krampus, a snowman with no conscience. All of the jolly guys you know and love. Support us on Patreon for $5, $7, or $10: www.patreon.com/tgofv. A big shout-out to our $10/month patrons: Abbie Phelps, Adam W, Anthony Cabrera, asdf, Axon, Baylor Thornton, Bedi, bernventers, bunknown, Celeste, Charles Doyle, Dane Stephen, Dave Finlay, David Gebhardt, Dean, Francis Wolf, Heather-Pleather, Jacob Sauber-Cavazos, James Lloyd-Jones, Jennifer Knowles, Jeremy-Alice, Josh O'Brien, Kilo, LM, Lawrence, Louis Ceresa, Malek Douglas, Newmans Own, Packocamels, Phat Ass Cyberman, Rach, raouldyke, Rebecca Kimpel, revidicism, Sam Thomas, T, Tash Diehart, Themandme, Tomix, weedworf, William Copping, and Yung Zoe!

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Cellini & Dimino Hour 4 (12.05.2025)

Cellini and Dimino

Play Episode Listen Later Dec 5, 2025 32:51

Nick Cellini and Chris Dimino talk everything Atlanta Sports, the National Sports picture and the current (and WAY back when) in pop culture! Get the latest and your fill of Atlanta Braves, Georgia Bulldogs, Atlanta Falcons, Atlanta Hawks daily from two "Southern" Yankees daily Mon-Fri from 10a-2p! The 1 o'clock hour is brought to you by A-L-M cars dot com. Eighteen dealerships and over six thousand new & used vehicles to shop. Find yours at A-L-M cars dot com. Buster Faulkner is leaving The Flats SEC Championship - Dawgs On Campus See omnystudio.com/listener for privacy information.

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Radio thứ Bảy 06/12/2025 - Vatican News Tiếng Việt

Vatican News Tiếng Việt

Play Episode Listen Later Dec 5, 2025 26:25

Laudetur Jesus Christus - Ngợi khen Chúa Giêsu KitôRadio Vatican hằng ngày của Vatican News Tiếng Việt.Nội dung chương trình hôm nay:0:00 Bản tin17:18 Chia sẻ Lời Chúa : Lm. Bartolomeo Nguyễn Anh Huy, SJ, chia sẻ Lời Chúa Chúa Nhật 2 Mùa Vọng---Những hình ảnh này thuộc Bộ Truyền Thông của Toà Thánh. Mọi sử dụng những hình ảnh này của bên thứ ba đều bị cấm và dẫn đến việc đánh bản quyền, trừ khi được cho phép bằng giấy tờ của Bộ Truyền Thông. Copyright © Dicasterium pro Communicatione - Giữ mọi bản quyền.

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TGOFV's Tips to Beat the Cold

Play Episode Listen Later Dec 3, 2025 59:19

It's gonna be a chilly one this year, folks! To make sure you don't die of hypothermia, you gotta listen to this one. Join Spencer, Ty, and Andy as they discuss various strategies for staying warm during this freezing weather, as well as a brief digression into the culture of America's southern states. Support us on Patreon for $5, $7, or $10: www.patreon.com/tgofv. A big shout-out to our $10/month patrons: Abbie Phelps, Adam W, Anthony Cabrera, asdf, Axon, Baylor Thornton, Bedi, bernventers, bunknown, Celeste, Charles Doyle, Dane Stephen, Dave Finlay, David Gebhardt, Dean, Francis Wolf, Heather-Pleather, Jacob Sauber-Cavazos, James Lloyd-Jones, Jennifer Knowles, Jeremy-Alice, Josh O'Brien, Kilo, LM, Lawrence, Louis Ceresa, Malek Douglas, Newmans Own, Packocamels, Phat Ass Cyberman, Rach, raouldyke, Rebecca Kimpel, revidicism, Sam Thomas, T, Tash Diehart, Themandme, Tomix, weedworf, William Copping, and Yung Zoe!

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Prensa económica: España acorralada: EEUU embarga bienes por la deuda de Sánchez con las renovables

Play Episode Listen Later Nov 27, 2025 9:41

LM publica el embargo de bienes a España en EEUU por la deuda de las renovables y la manipulación del INE para maquillar el PIB.

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More Than You Can Chew: A New Thanksgiving Classic

Play Episode Listen Later Nov 27, 2025 63:12

You ever notice how there's no good Thanksgiving movies? "Planes, Trains, and Automobiles" doesn't count. Join Spencer, Ty, and Andy as they write the first good Thanksgiving movie in history, and change the holiday forever. Support us on Patreon for $5, $7, or $10: www.patreon.com/tgofv. A big shout-out to our $10/month patrons: Abbie Phelps, Adam W, Anthony Cabrera, asdf, Axon, Baylor Thornton, Bedi, bernventers, bunknown, Celeste, Charles Doyle, Dane Stephen, Dave Finlay, David Gebhardt, Dean, Francis Wolf, Heather-Pleather, Jacob Sauber-Cavazos, James Lloyd-Jones, Jennifer Knowles, Jeremy-Alice, Josh O'Brien, Kilo, LM, Lawrence, Louis Ceresa, Malek Douglas, Newmans Own, Packocamels, Phat Ass Cyberman, Rach, raouldyke, Rebecca Kimpel, revidicism, Sam Thomas, T, Tash Diehart, Themandme, Tomix, weedworf, William Copping, and Yung Zoe!

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The 2025 Uptime Thanksgiving Special

Play Episode Listen Later Nov 27, 2025 35:33

Allen, Joel, and Yolanda share their annual Thanksgiving reflections on a year of major changes in wind energy. They discuss industry collaboration, the offshore wind reset, and upcoming changes in 2026. Thanks to all of our listeners from the Uptime team! Sign up now for Uptime Tech News, our weekly email update on all things wind technology. This episode is sponsored by Weather Guard Lightning Tech. Learn more about Weather Guard’s StrikeTape Wind Turbine LPS retrofit. Follow the show on Facebook, YouTube, Twitter, Linkedin and visit Weather Guard on the web. And subscribe to Rosemary Barnes’ YouTube channel here. Have a question we can answer on the show? Email us! Welcome to Uptime Spotlight, shining Light on Wind Energy’s brightest innovators. This is the Progress Powering Tomorrow. Allen Hall: Welcome to the Uptime Wind Energy Podcast. I’m your host, Alan Hall in the Queen city of Charlotte, North Carolina. Joel Saxon’s up in Wisconsin, and Yolanda Padron is down in Texas, and this is our yearly Thanksgiving edition. Thanks for joining us and, and on this episode we always like to look back at the year and, uh, say all we’re thankful for. We’ve had a number of podcast guests on more than 50, I think total by the time we get to conferences and, uh, all the different places we’ve been over the past year. Joel, it does seem like it’s been a really interesting year. We’ve been able to watch. The changes in the wind industry this year via the eyes of [00:01:00]others. Joel Saxum: Yeah. One of the things that’s really interesting to me when we have guests on is that we have them from a variety of parts of the wind industry sector. So we have ISPs, you know, people running things out in the field, making stuff happen. We’ve got high level, you know, like we have this, some CEOs on from different, uh, people that are really innovative and trying to get floating winged out there. They have like on, we had choreo generation on, so we, so we have all different spectrums of left, right center, Europe, well us, you name it. Uh, new innovative technology. PhD smart people, uh, doing things. Um, also, it’s just a, it’s just a gamut, right? So we get to learn from everybody who has a different kind of view on what’s Allen Hall: happening. Yolanda, you’ve been in the midst of all this and have gone through a big transition joining us at Weather Guard, lightning Tech, and we’re very thankful for that, for sure. But over the last year, you’ve seen a lot of changes too, ’cause you’ve been in the seat of a blade engineer and a [00:02:00] large operator. What do you think? Yolanda Padron: Uh, something I am really thankful for this year is, and I think a lot of owner operators are, is just knowing what’s coming up. So there was a lot of chaos in the beginning before the big beautiful bill where everyone theorized on a lot of items. Um, and, and you were just kind of stuck in the middle of the court not really knowing which direction to go in, but. Now we’re all thankful for, for what? It’s brought for the fact that everyone seems to be contributing a lot more, and at least we all know what direction we’re heading in or what the, what the rules are, the of the game are, so we can move accordingly. Joel Saxum: Yeah. I got some clarity. Right. I think that, but that happened as well, like when we had the IRA bill come in. Three, four years ago, it was the same thing. It was like, well, this bill’s here, and then you read through it. I mean, this was a little bit opposite, right? ’cause it was like, oh, these are all [00:03:00] great things. Right? Um, but there wasn’t clarity on it for like, what, six months until they finalized some of the. Longer on some of the, some of the tax bills and what it would actually mean for the industry and those kind of things. So yeah, sorting this stuff out and what you’ve seen, you’re a hundred percent correct, Yolanda, like all the people we talked to around the industry. Again, specifically in the US because this affects the us but I guess, let me ca caveat that it does affect the global supply chain, not, you know what I mean? Because it’s, it’s not just the, the US that it affects because of the consumption here. So, but what we have heard and seen from people is clarity, right? And we’re seeing a lot of people starting to shift strategy a little bit. Right now, especially we’re in budgeting season for next year, shifting strategy a little bit to actually get in front of, uh, I know like specifically blades, some people are boosting their blades, budgets, um, to get in front of the damages because now we have a, a new reality of how we need to operate our wind farms. The offshore Allen Hall: shift in the United States has really had a [00:04:00] dramatic impact. On the rest of the world. That was, uh, a little unexpected in the sense that the ramifications of it were broader, uh, just because of so much money going into offshore projects. As soon as they get pulled or canceled, you’ve have billions of dollars on the table at that point. It really affects or seen it. Ecuador seen it. Anybody involved in offshore wind has been deeply affected. Siemens has seen it. GE has clearly seen it. Uh, that has. In my opinion, probably been the, the biggest impact. Not so much the big beautiful bill thing, but the, uh, ongoing effort to pull permits or to put stoppages on, on offshore wind has really done the industry some harm. And honestly, Joel, I’m not sure that’s over. I think there’s still probably another year of the chaos there. Uh, whether that will get settled in the courts or where it’s gonna get settled at. I, I still don’t know. [00:05:00] But you’ve seen a big shift in the industry over in Europe too. You see some changes in offshore wind. It’s not just the US that’s looking at it differently. Yeah. Globally. I think offshore wind Joel Saxum: right now is in a reset mode where we, we went, go, go, go, go, go get as much in the water as we can for a while. And this is, I’m, I’m talking globally. Um. And then, and now we’re learning some lessons, right? So there’s some commercial lessons. There’s a lot of technical lessons that we’re learning about how this industry works, right? The interesting part of that, the, the on or the offshore wind play here in the States. Here’s some numbers for it, right? So. It onshore wind. In the states, there’s about 160 gigawatts, plus or minus of, uh, deployed production out running, running, gunning, working, spinning all day long. Um, and if you look at the offshore wind play in planned or under development, there’s 66 gigawatts of offshore wind, like it’s sitting there, right? And of that 66, about 12 of them are permitted. Like [00:06:00] are ready to go, but we’re still only at a couple hundred megawatts in the water actually producing. Right. And, and I do want, say, this is what I wanna say. This is, I, I think that we’re taking a reset, we’re learning some things, but from, from my network, I’m seeing, I got a, a whole stack of pictures yesterday from, um, coastal offshore, Virginia Wind. They’ve, and they looked promising. They looked great. It was like a, it was a marshaling facility. There was nelle stacked up, there was transition pieces ready to go. Like, so the industry is still moving forward. It’s just we’re we need to reset our feet, um, and, and then take a couple steps forward instead of those, the couple steps back, Allen Hall: uh, and the industry itself, and then the employees have been dramatically reduced. So there’s been a lot of people who we’ve known over the past year, they’ve been impacted by this. That are working in different positions, look or in different industries right now, uh, waiting for the wind industry to kind of settle itself [00:07:00] out to, to figure out what the next steps are That has been. Horrible, in my opinion. Uh, uh because you’re losing so much talent, obviously. And when you, when you talk to the people in the wind industry, there’s like, oh, there’s a little bit of fat and we can always cut the fat. Yeah, yeah, yeah. But we’re, we’re down to the bone. We’re cutting muscle right now. We’re into some bones, some structure. That is not what I anticipated to happen. But you do see the management of these companies being. Uh, very aggressive at the minute. Siemens is very aggressive. Vestas is very aggressive about their product line and, and getting availability way up. GE has made huge changes, pretty much closing LM wind power, uh, and uh, some things happening in South Carolina that we probably people don’t know about yet, but there’s so much happening behind these scenes that’s negative and we have to acknowledge it. It’s not great. I worry about everybody that has been [00:08:00] laid off or is, is knows their job is gonna go away at the end of the year. I struggle with it all the time and I, I think a lot in the wind industry do. But there’s not a lot to do about it besides say, Hey, uh, we’ve gone through this a couple of times. Wind has never been bountiful for 50 years. It’s bountiful for about 10, then it’s down for about five and it comes back for 10. It’s that ebb and flow, but you just hate to be involved with that. It’s particularly engineering ’cause this industry needs engineering right Joel Saxum: now. All of us on this podcast here have been affected by ups and downs in the industry at some point in time in our life, in in major ways. I guess one of the positive things I have seen that from an operator standpoint, and not as much at the latter half of this year, but at the beginning half of this year is when some of these OEMs were making cuts. There was a lot of people that landed at operators and asset owners that were huge assets to them. They walked in the door with. Reams of knowledge about how, [00:09:00] you know, how a ge turbine works or how the back office process of this works and they’re able to help these operators. So some of that is good. Um, you get some people spread around in the industry and some knowledge bases spread around. But man, it’s really hard to watch. Um, your friends, your colleagues, even people that you, that you don’t know personally just pop up on LinkedIn, um, or wherever. And. That they’ve, they’re, they’re looking for work again. Allen Hall: Yolanda, how do you look at 2026 then, knowing what’s just happened in 2025? Is there some hope coming? Is there a rainbow in the future? Yolanda Padron: I think there’s a rainbow in the future. You know, I, I think a lot of the decisions were made months ago before a lot of people realized that the invaluable, how invaluable some of that information in people’s heads is. Uh, particularly, I mean, I know we’ve all talked about the fact that we’re all engineers and so we, we have a bit of bias that way. Right. But, uh, [00:10:00] just all of the knowledge that comes in from the field, from looking at those assets, from talking to other engineers now, which is what, what we’re seeing more and more of, uh, I think, I mean. So there’s going to have to be innovation, right? Because of how, how lean everybody is and, and there’s going to have to be a lot more collaboration. So hopefully there, there should be some, some good news coming to people. I think we, we need it a little Joel Saxum: bit. You know, to, to, to pair on with what you’re saying there, Yolanda, like, this is a time right now for innovation and collaboration. Collaboration, right. I want to touch on that word because that is something that we, we talk about all the time on the podcast, but you also see the broader industry talking about it since I’ve been in it, right. Since I think I came in the wind industry, like 2019. Um, you hear a lot of, uh, collaboration, collaboration, collaboration. But those were like, they were [00:11:00] fun, like hot air words, like oh yeah, but then nobody’s really doing anything. Um, but I think that we will start to see more of that. Alan, you and I say this a lot, like at the end of the day, once, once the turbines are in the ground as an asset owner, you guys are not competing anymore. There’s no competition. You’re competing for, for green space when you’re trying to get the best wind resource. I get that. Um, but I mean, in the central part of the United States, you’re not really competing. There’s a lot of hills out there to stick a turbine on. Uh, but once they’re, once they are spinning. Everybody’s in the same boat. We just wanna keep these things up. We wanna keep the grid energized, we wanna do well for renewable energy and, um, that collaboration piece, I, I, I would like to see more and more of that in 2026. And I know from, from our chairs here, we will continue to push on that as well. Yolanda Padron: Yeah. And just so many different operators, I mean sure they can see themselves as, as being one against the other. Right. But. When you talk [00:12:00] to these people and it, I think people in the past, they’ve made the, the mistake of just being a little bit siloed. And so if you’re just looking at your assets and you’re just looking at what your OEM is telling you of, oh, these problems are new and unique to you, which I’m sure a lot of people hearing us have heard that. You can stay just kind of in that zone of, oh no, I, I have this big problem that there’s no other way to solve it except for what some people are telling me or not telling me, and I’m just going to have to pay so much money to get it done and take the losses from generation. Uh, but there’s so many people in the industry that have a hundred percent seen the issues you’ve seen. Right. So it’s, it’s really, really important to just talk to these people, you know? I mean, just. Just have a, a simple conversation. And I think some of the issue might be that some people don’t know [00:13:00] how to get that conversation started, right? And so just, just reach out to people, someone in the same position as you go to Wilma, you know, just talk to the person next to you. Joel Saxum: I mean, like I said about visibility, like we’re here too. Like the, the three of us are sitting here. We’ve got our. We’re always monitoring LinkedIn and our emails like if you, if you have a problem, we, we had one this morning where I, Alan, you got a message from someone, I got a message from someone that was like, Hey, we’ve got this root bolt issue. Can you help us with it? We’re like, Hey, we know two companies that can, let’s just connect them up and, and make that conversation happen. So we’re happy to do the same thing. Um, if, if you have an issue, we have a, a Allen Hall: broad reach and use us as Joel has mentioned a thousand times on the podcast. If you don’t know where a technology lies or where a person is that you need to reach out to, you need to go to the Uptime podcast. You can search it on YouTube and probably get an answer, or just reach us on LinkedIn. We’re all willing [00:14:00] to give you advice or help or get you in the right direction. We’ve done it all year and we’ve done it for years. Not everybody takes us up on that opportunity. It’s free. We’re just trying to make this world just a tiny bit better. Yolanda Padron: No one has the time or the money right now to reinvent the wheel, right? So I mean, it just doesn’t make sense to not collaborate. Allen Hall: I think we should discuss what will happen to all the people that have left wind this past year willingly or unwillingly. And what that means for the industry, in my opinion. Now there is more knowledge than ever walking on the streets and probably doesn’t have an NDA to tie them up. ’cause it’s been long enough that the industry hasn’t tapped into, the operators have not grabbed hold of the people who designed the blade that, uh, manufactured the blade that looked at. The LEP solutions that looked at all the bearings and all the different gear boxes that they evaluated and were involved in the testing of those [00:15:00] things. Those people are available right now and a little bit of LinkedIn shopping would give you access to, uh, really invaluable wealth of information that will make your operations work better, and you may have to be willing to pay for it a little bit. But to tap into it would save you months and months and months of time and effort and, uh, limit having to add to your engineering staff because they will work as consultants. It does seem like there’s an opportunity that maybe the operators haven’t really thought about all that much because they haven’t seen too much of it happening yet. Occasionally see the, the wise old operators being smart about this, they’ve been through these loops before and are taking advantage of it. Don’t you see? That’s like 2026 is is is the year of the consultant. I a hundred percent Joel Saxum: agree with you, Alan. Um, I saw a TEDx talk oh, years ago actually now. Uh, but it was about the, what the future of worker looks like, the future of [00:16:00] work and the future of work at that time for those people giving that TEDx talk was workers on tap. Basically consultants, right? Because you have subject matter experts that are really good at this one thing, and instead of just being that one thing good for just this one company, they’re pulling back and going, I can do this, this, this, and this for all these companies. So we have, um, we have a lot of those in the network and we’re starting to see more and more of them pop up. Um, at the same time, I think I’ve seen a couple of groups of them pop up where, uh, you didn’t have. When I look at ISPs, um, I’m always kind of like, oh man, they could do this a little bit better. They could do this a little bit better. And I, I recently heard of an ISP popping up that was a bunch of these like consultant types that got together and we’re like, you know what? We have all this knowledge of all these things. Why not make this a, a company that we can all benefit from? Um, and we can change the way some things are done in the wind industry and do it a little bit better, uh, a little bit more efficiently. Allen Hall: Does that change the way we think about technicians also. [00:17:00] We had the Danish Wind Power Academy on the podcast a couple of months ago talking about training and specific training for technicians and engineers for that matter on the turbines that are at their sites and how much productivity gain they’re getting from that. And we’ve recently talked about how do I get a 10% improvement? Where does that 10% lie? Where is that? And a lot of times we get offered the 1%, the half a percent improvement, the 10% lies in the people. If you know who to ask and you get your people spooled upright, you can make multiple percentage point changes in your operation, which improves your revenue. But I think that’s been left on the table for a long time because we’ve been in build, build, build. And now that we’re into operate, operate, operate. Do you see that shift happening? Do you see O operators starting to think about that a little bit that maybe I should train up my technicians on this? Intercon turbine Joel Saxum: that they’re not familiar with. In my [00:18:00] opinion, I think that’s gonna be a 2027 reality. Because we’re seeing this, your, your right now what? You know we have this cliff coming where we’re gonna see in, in the face of the current regulations in the US where you’re gonna see the. Development kind of slow, big time. And when that happens, then you can see the focus start to switch onto the operating assets. So I don’t think that’s a 26 thing, I think that’s a 27 thing. But the smart operators, I believe would be trying to take some of that, take control of some of that stuff. Right. Well we see this with the people that we know that do things well. Uh, the CRS team at EDF with their third party services and sala, Ken Lee, Yale, Matta, and those guys over there. They’re doing a, I don’t wanna lose any other names here, Trevor Engel. Like, I wanna make sure I get a Tyler. They’re all superstars, they’re fantastic. But what they’re doing is, is is they’re taking, they’re seeing what the future looks like and they’re taking control. I think you’ll see, you’ll, you’ll see an optimization. Um, companies that are investing in their technicians to train [00:19:00] them are going to start getting a lion’s share of the work, because this time of, oh, warm bodies, I think is, is they’re still gonna be there, right? But I think that that’s gonna hopefully become less and less. Allen Hall: Yolanda, I want to focus on the OEM in 2025, late 2025, and moving into 2026 and how they deal with the developers. Are you thinking that they’re going to basically keep the same model where a lot of developers are, uh, picking up the full service agreements or not being offered a turbine without a full service agreement? Will that continue or do you see operators realize that they probably don’t need the OEM and the historical model has been OEMs manufacture products and provide manuals in the operations people and developers read the manuals and run the turbine and only call over to the OEM when they need really severe help. Which way are we gonna go? Yolanda Padron: I think on the short term, it’ll still be very FSA focused, in my opinion, [00:20:00] mainly because a lot of these operators didn’t necessarily build out their teams, or didn’t have the, the business case wasn’t there, the business model wasn’t there. Right. To build out their internal teams to be able to, to do the maintenance on these wind turbines as much as an OEM does. Uh. However, I do think that now, as opposed to 10 years ago when some of these contracts started, they have noticed that there’s, there’s so many big things that the OEN missed or, or just, you know, worked around, uh, that really has affected the lifetime of some of these blades, some of these turbines. So I think the shift is definitely happening. Uh, you mentioned it with EDF NextEra, how, how they’re at a perfect spot to already be there. Uh, but I think at least in the US for some of these operators that are a lot [00:21:00] more FSA focused, the shift might take a couple of years, but it’s, it surely seems to be moving in that direction. Joel Saxum: So here’s a question for you, Ilana, on that, on that same line of thinking. If we, regulation wise, are looking to see a slow down in development, that would mean to me that the OEMs are gonna be clamoring for sales over the next few years. Does that give more power to the operators that are actually gonna be buying turbines in their TSA negotiations? Yolanda Padron: I think it should, right. I mean, the. If they, if they still want to continue developing some of these, it and everyone is fighting, you know, all of these big OEMs are fighting for the same contracts. There’s, there’s a lot more kind of purchase power there from, from the operators to be able [00:22:00] to, to, you know, negotiate some of these deals better. Stay away from the cookie cutter. TSA. That the OEMs might supply that are very, very shifted towards the OEM mindset. Joel Saxum: You, you’re, you’re spot on there. And if I was a developer right now, I’d be watching quarterly reports and 10 k filings and stuff at these operators to make sure, or to see when to pounce on a, on a, a turbine order, because I would wait to see when in, in the past it’s been like, Hey, if we’re, it doesn’t matter who you are, OEM, it has been like we’re at capacity and we have. Demand coming in. So we can pick and choose. Like if you don’t buy these turbines on our contract, we’ll just go to the next guy in line. They’ll buy ’em. But now if the freeboard between manufacturing and demand starts to keep having a larger delta, well then the operators will be able to go, well, if you don’t sell it to me, you’re not, there isn’t another guy behind me. So now you have to bend to what I want. And all the [00:23:00] lessons that I’ve learned in my TSA negotiations over the last 20 years. Yolanda Padron: Something relating to Alan’s point earlier, something that I think would be really, really interesting to see would be some of these developers and EPC teams looking towards some of those contract external contractor consultants that have been in the field that know exactly where the issues lie. To be able to turn that information into something valuable for an operating project that. Now we know has to operate as long as possible, Allen Hall: right? Without repower, I think two things need to happen simultaneously, and we will see if they’ll play out this way. OEMs need to focus on the quality of the product being delivered, and that will sustain a 20 year lifetime with minimal maintenance. Operators need to be more informed about how a turbine actually operates and the details of that technology so they can manage it themselves. Those two things. Are [00:24:00] almost inevitable in every industry. You see the same thing play out. There’s only two airplane companies, right? There’s Boeing and Airbus. They’re in the automobile world. There’s, it gets fewer and fewer every year until there’s a new technology leap. Wind is not gonna be any different, and I hope that happens. OEMs can make a really quality product. The question is, they’ve been so busy developing. The next turbine, the next turbine, the next turbine. That have they lost the magic of making a very, very reliable turbine? They’ll tell you, no, we know how to do it. Uh, but as Rosemary has pointed out numerous times, when you lose all your engineering talent, it gets hard to make that turbine very robust and resilient. That’s gonna be the challenge. And if the OEMs are focused on. TSAs it should be, but the full service agreements and taking care of that and managing all the people that are involved with that, it just sucks the life out of the OEMs, I think, in terms of offering the next great product. [00:25:00]Someone showed me the next GE Joel Saxum: one five. Oh, I would love to see it. Do you believe that? Okay, so I, we’ll shift gears from oe, uh, wind turbine OEMs to blade manufacturers. LM closing down shops, losing jobs, uh, TPI bankruptcy, uh, 99% of their market cap eroding in a year is there and, and, and the want for higher quality, better blades that are gonna last. Is there space, do you think there’s space for a, a blade manufacturer to come out of nowhere, or is there just someone’s gonna have to scoop some of these factories up and and optimize them, or what do you think the future looks like for blade Allen Hall: manufacturers? The future is gonna be vertically integrated, and you see it in different industries at the moment where they’re bringing in technology or manufacturing that would have typically been outsourced in the two thousands. They’re bringing it back underneath their roofs. They’re buying those companies that were vendors to them for years. The reason they’re doing that is they [00:26:00] can remove all the operational overhead. And minimize their cost to manufacture that product. But at the same time, they can have really direct oversight of the quality. And as we have seen in other industries, when you outsource a critical component, be it gear, boxes, bearings, blades, fall into that category, those are the critical items for any wind turbine. When you outsource those items and rely upon, uh, uh, companies that you don’t have direct control over, or not watching day to day, it can go awry. Management knows it, and at some point they’re willing to accept that risk. They know that the cost is right. I gotta build this, uh, turbine. I know I’m working three generations ahead, so it’s okay, I’ll, I’ll live with this for the time being, but at some point, all the staff in the OEMs needs to know what the quality component is. Is it being delivered on time? Do I have issues out in the field with it? Do I keep this supply chain? Do I, and do I build this in house blades? [00:27:00] I think eventually. Like they were years ago, were built in-house. Uh, but as they grew too quickly, I think everybody will agree to that Joel Saxum: capacity. Yeah, Allen Hall: right. They started grabbing other factories that they didn’t know a lot about, but it gave them capacity and ability able to make sales. Now they’re living with the repercussions of that. I think Siemens is the obvious one, but they’re not the only one. GE has lived through something very similar, so, uh, vertical integration is going to be the future. Before we wrap the episode, we should talk about what we’re thankful for for this year, 2025. So much has happened. We were in Australia in February, weather guard moved in April to North Carolina. We moved houses and people, and the whole organization moved from Massachusetts and North Carolina. Joel got married. Yolanda got married. We’ve been all over the world, honestly. Uh, we’ve traveled a great deal and we’re thankful for everybody that we’ve met this year, and that’s one of the pleasures of doing this podcast is I just [00:28:00] get to meet new people that are very interesting, uh, and, uh. Talk, like, what’s going on? What are you thinking? What’s happening? It just feels like we’re all connected in this weird way via this podcast, and I, I, I’m really thankful for that and my always were saying Thanks. I will go through my list. I’m thankful for my mom. I’m thankful for my wife Valerie, who pretty much runs Weather Guard, lightning Tech, and Claire, who is my daughter who does the podcast and has been the producer, she graduated this year from Boston College. With honors that happened this year. So I’m very thankful that she was able to do that. And my son Adam, who’s earning his doctorate degree out in San Diego, always thankful for him ’cause he’s a tremendous help to us. And on the engineering side, I’m thankful to everybody we have with us this year. We brought Yolanda on, so we’re obviously thankful that, uh, she was able to join us. Of course, Joel Joel’s been here a couple of years now and helping us on sales and talking to everybody [00:29:00] in the world. We’re super thankful for Joel and one of the people we don’t tell behind the who’s behind the scenes on our side is our, our, uh, manufacturing person, Tammy, um, and Leslie. They have done a tremendous job for us over the years. They don’t get a lot of accolades on the podcast, but people who receive our strike tape product, they have touched. Tammy and Leslie have touched, uh, Tammy moved down with us to North Carolina and we’re extremely grateful that she was able to do that. Another person behind the scenes for us is Diane stressing. She does her uptime tech news newsletter. So the high quality content doesn’t come from me, it comes from Diane ’cause she can write and she’s an excellent newsletter writer. She helps with a ton of our content. She’s behind the scenes and there’s a lot of people at, at, uh, weather, car Lightning Tech that are kind of behind the scenes. You don’t get to see all the time, but when you do get an email about uptime, tech news is coming from Diane. So we’re super grateful for her. We’ve been blessed this year. We [00:30:00] really have. We’ve brought on a lot of new friends and, uh, podcast has grown. Everything has done well this year, so we’re super happy. Joel, what are you thankful for? Joel Saxum: I would start it the same way. Uh, my, my new. Sorry, my new wife as of last May, Kayla, she is the, the glue that holds me together, uh, in our household together, in this kind of crazy world that we’re in, of the ups and downs and the travels and the moving and grooving. Um, she keeps, she keeps me grounded. She keeps our family grounded. So, um, uh, I, I don’t think I can thank her enough. Uh, and you know, with that being said, we are always traveling, right? We’re, we’re here, we’re there. We’re. All around the world, and I am thankful for that. Um, I’m thankful for the people that we meet while we get to travel, the cultures and the, the experiences and the people that want to share with us and the knowledge gained from, uh, the conversations, whether it be in a conference room or over a beer.[00:31:00] Um, uh, the, the people that we have, uh, grown into this uptime network and, um, I know like my personal network from the past and of course everybody that will come in the future. I think that’s where, you know, the, the, if you know me, you know that I’m very much an extrovert, uh, talking with people and, and getting those conversations gives me energy. Um, and I like to give that back as much as I can. So the, all of the people that I’ve run into over the, over the past year that have allowed me to monologue at them. Thank you. Sorry. Apologies. Um, but, uh, yeah, I mean, it’s, it’s hard to. I think this, this is a, this is always why Thanksgiving is like a six hour long thing in the United States, eight hour long thing. You have dinner at three and you hang out with your friends and family until 10, 11:00 PM because it gives you time to reflect on, um, the things that are awesome in life. Right? And we get bogged down sometimes in our, you know, in the United States. We are [00:32:00] work, work, work, work works. First kind of society. It’s the culture here. So we get bogged down sometimes in the, you know, we’re in the wind industry right now and it’s not always. Um, you know, roses and sunshine, uh, but ha having those other people around that are kind of like in the trenches with you, that’s really one thing I’m thankful for. ’cause it, it’s, it’s bright spots, right? I love getting the random phone calls throughout the day of someone sharing a piece of information or just asking how you’re doing or connecting like that. So, um, that, that would be the, the thing I’m most thankful for, and it puts it into perspective here, to a me up home in Wisconsin, or my, my not home. Home is Austin, but my original hometown of northern Wisconsin, and I’ve got to see. Quite a few of my, my high school buddies are, yeah, elementary school buddies even for that matter over the last couple weeks. And, um, that really always brings me back to, to a bit of grounding and puts, puts life in perspective. So, uh, I’m really appreciative for that as well. Yolanda, newly married as well, and welcome to the club. Yolanda Padron: Thank [00:33:00] you. Yeah, I’m really, really thankful for, for Manuel, my husband, uh, really. Really happy for our new little family. Uh, really thankful for my sisters, Yvonne and Carla and my parents. Um, my friends who I like to think of as my chosen family, especially, you know, here in Austin and then, and in El Paso. Uh, really, really thankful for, for the extended family and for, for weather card for, for this lovely opportunity to just. Learned so much. I know it’s only been almost two months, but I’ve, I’ve just learned so much of just talking to everybody in the industry and learning so much about what’s going on everywhere and just getting this, this whole new outlook on, on what the future holds and, and what exactly has happened and technology wise, and I’m thankful for [00:34:00] this year and how. How exciting everything’s going to be. So, yeah, thankful for you guys. Allen Hall: And we don’t wanna forget Rosemary and Phil, uh, they’ve been a big part of 2025. They’ve worked really hard behind the scenes and, uh, I appreciate everything they’ve done for the podcast and everything they’re doing for. Us as a company and us as people. So big shout out to Rosemary and Phil. So that’s our Thanksgiving episode. Appreciate everybody that’s joined us and has enjoyed the podcast in 2025 and will continue to in 2026. The years coming to an end. I know the Christmas holidays are upon us. I hope everybody enjoys themselves. Spend a little bit of time with your family. And with your coworkers and take a little bit of time. It’s been a pretty rough year. You’re gonna need it. And that wraps up another episode of the Uptime Winner Energy podcast, and we appreciate you joining us here today. If anything has triggered an idea or a question. As we’ve mentioned, reach out to us on LinkedIn. That’s the easiest way to get ahold of [00:35:00] us and don’t ever forget to subscribe. So click that little subscribe button so you don’t miss any of the Future Uptime podcast episodes, and we’ll catch you here next week on the Uptime Wind Energy Podcast.

Prensa económica: El IMV se dispara: 400.000 beneficiarios más tras la 'pasarela' del Gobierno

Play Episode Listen Later Nov 26, 2025 5:21

LM publica el alza del IMV: 400.000 nuevos beneficiarios tras la polémica pasarela de cobro.

tras mica econ gobierno prensa dispara lm pasarela beneficiarios

Debate of All Time 30: Thanksgiving Fights Vs Thanksgiving Peace

Everyday AI Podcast â€“ An AI and ChatGPT Podcast

Play Episode Listen Later Nov 20, 2025 57:21

Should you own your unc with facts and logic? Or should you let him pop off and shoot his poison? Join Spencer, Ty, and Andy as they debate the pros and cons of fighting with your relatives on Thanksgiving, and how much of your turkey dinner you should be allowed to ruin. Support us on Patreon for $5, $7, or $10: www.patreon.com/tgofv. A big shout-out to our $10/month patrons: Abbie Phelps, Adam W, Anthony Cabrera, asdf, Axon, Baylor Thornton, Bedi, bernventers, bunknown, Celeste, Charles Doyle, Dane Stephen, Dave Finlay, David Gebhardt, Dean, Francis Wolf, Heather-Pleather, Jacob Sauber-Cavazos, James Lloyd-Jones, Jennifer Knowles, Jeremy-Alice, Josh O'Brien, Kilo, LM, Lawrence, Louis Ceresa, Malek Douglas, Newmans Own, Packocamels, Phat Ass Cyberman, Rach, raouldyke, Rebecca Kimpel, revidicism, Sam Thomas, T, Tash Diehart, Themandme, Tomix, weedworf, William Copping, and Yung Zoe!

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Gemini 3 Deep Dive and 3 Upgraded use cases Anyone can use

Play Episode Listen Later Nov 19, 2025 39:15

You ever see a new AI model drop and be like.... it's so good OMG how do I use it?

LM Wind Power Cuts 60% of Denmark Staff

Play Episode Listen Later Nov 18, 2025

The crew discusses LM Wind Power's dramatic layoff of 60% of remaining Danish staff, dropping from 90 to just 31 workers. What does this mean for thousands of wind farms with LM blades? Is government intervention possible? Who might acquire the struggling blade manufacturer? Plus, a preview of the Wind Energy O&M Australia 2026 conference in Melbourne this February. Learn more about CICNDT!Register for ORE Catapult's UK Offshore Wind Supply Chain Spotlight! Sign up now for Uptime Tech News, our weekly email update on all things wind technology. This episode is sponsored by Weather Guard Lightning Tech. Learn more about Weather Guard's StrikeTape Wind Turbine LPS retrofit. Follow the show on Facebook, YouTube, Twitter, Linkedin and visit Weather Guard on the web. And subscribe to Rosemary Barnes' YouTube channel here. Have a question we can answer on the show? Email us! If you haven't downloaded your latest edition of PES Wind Magazine, now's the time issue four for 2025. It's the last issue for 2025 is out and I just received mine in the Royal Mail. I had a brief time to review some of the articles inside of this issue. Tremendous content, uh, for the end of the year. Uh, you wanna sit down and take a good long read. There's plenty of articles that affect what you're doing in your wind business, so it's been a few moments. Go to peswind.com Download your free copy and read it today. You're listening to the Uptime Wind Energy Podcast, brought to you by build turbines.com. Learn, train, and be a part of the Clean Energy Revolution. Visit build turbines.com today. Now here's your hosts, Alan Hall, Joel Saxon, Phil Totaro, and Rosemary Barnes. Welcome to the Uptime Wind Energy [00:01:00]Podcast. I'm your host, Alan Hall in the Queen city of Charlotte, North Carolina. I've got Yolanda Padron in Texas. Joel Saxon up in Wisconsin and Rosemary Barnes down under in Australia, and it has been a, a really odd Newsweek. There is a slow down happening in wind. Latest news from Ella Wind Power is they're gonna lay off about 60% of their staff in Denmark. They've only have about 90 employees there at the moment. Which is a dramatic reduction of what that company once was. Uh, so they're planning to lay off about 59 of the 90 workers that are still there. Uh, the Danish media is reporting. There's a lot of Danish media reporting on this at the moment. Uh, there's a letter that was put out by Ellen Windpower and it discusses that customers have canceled orders and are moving, uh, their blade production to internal factories. And I, I assume. That's a [00:02:00] GE slash Siemens effort that is happening, uh, that's affecting lm and customers are willing to pay prices that make it possible to run the LM business profitably. Uh, the company has also abandoned all efforts on large blades because I, I assume just because they don't see a future in it for the time being now, everybody is wondering. How GE Renova is involved in this because they still do own LM wind power. It does seem like there's two pieces to LM at the minute. One that serves GE Renova and then the another portion of the company that's just serving outside customers. Uh, so far, if, if you look at what GE Renova paid for the company and what revenue has been brought in, GE Renova has lost about 8.3 billion croner, which is a little over a billion dollars since buying the company in 2017. So it's never really been. Hugely profitable over that time. And remember a few months ago, maybe a month ago now, or two months ago, the CEO of LM [00:03:00] Windpower left the company. Uh, and I now everyone, I'm not sure what the future is for LM Windpower, uh, because it's, it has really dramatically shrunk. It's down to what, like 3000 total employees? I think they were up at one point to a little over when Rosie was there, about 14,000 employees. What has happened? Maybe Rosemary, you should start since you were working there at one point. Rosemary Barnes: Yeah, I dunno. It always makes me really sad and there's still a few people that I used to work with that were there when I went to Denmark in May and caught up with a bunch of, um, my old colleagues and most of them had moved on because a lot of firing had already happened by that point. But there were still a few there, but the mood was pretty despondent and I think that they guessed that this was coming. But I just find it really hard to see how with the number, just the pure number of people that are left there. I, I find it really hard to see how they can even support what they've still [00:04:00] got in the field. Um. Let alone like obviously they cut way back on manufacturing. Okay. Cut Way back on developing new products. Okay. But you still do need some capabilities to work through warranty claims and um, you know, and any kind of serial issues. Yeah, I would be worried about things like, um, you know, from time to time you need a new, a new blade or a new set of blades produced. Maybe a lot of them, you know, if you discover an issue, there's a serial defect that doesn't, um, become obvious until 10 years into the turbine's lifetime. You might need to replace a whole bunch of blades and are you gonna be able to, like, what's, what is gonna happen to this huge number of assets that are out there with LM blades on there? Uh, I, yeah, I, I would really like to see some announcements about what they're keeping, you know, what functionality they're planning to keep and what they're planning to excise. Joel Saxum: But I mean, at the end of the day, if it's, if [00:05:00] the business is not profitable to run that they have no. Legal standing to have to stay open? Rosemary Barnes: No, no, of course not. We all know that there, there's, you know, especially like you go through California, there's all sorts of coast turbines there that nobody knows how to maintain them anymore. Right. And, um, yeah, and, and around there was one in, um, in Texas as well with some weird kind of gearbox. I can't remember what exactly, but yeah, like the company went bankrupt, no one knew what to do with them, so they just, you know, like fell into disrepair and couldn't be used anymore. 'cause if you can't. Operate them safely, then you can't let no one, the government is not gonna let you just, you know, just. Try your luck, operate them until rotors start flying off. You know, like that's not really how it works. So yeah, I do think that like you, you can't just stay silent about, um, what you expect to happen because you know, like maybe I have just done some, a bit of catastrophizing and, you know, finding worst case scenarios, but that is where your mind naturally goes. And the absence of information about what you can expect, [00:06:00] then that's what. People are naturally gonna do what I've just done and just think through, oh, you know, what, what could this mean for me? It might be really bad. So, um, yeah, it is a little bit, a little bit interesting. Allen Hall: Delamination and bottom line, failures and blades are difficult problems to detect early. These hidden issues can cost you millions in repairs and lost energy production. C-I-C-N-D-T are specialists to detect these critical flaws before they become expensive burdens. Their non-destructive test technology penetrates deep to blade materials to find voids and cracks. Traditional inspections, completely. Miss C-I-C-N-D-T Maps. Every critical defect delivers actionable reports and provides support to get your blades. Back in service, so visit cic ndt.com because catching blade problems early will save you millions. Yolanda, what are asset managers [00:07:00] thinking about the LM changes as they proceed with orders and think about managing their LM Blade fleet over the next couple of years, knowing that LM is getting much smaller Quicker? Yolanda Padron: Yeah, and this all comes at a time when. A lot of projects are reaching the end of the full service agreements that they had with some of these OEMs, right? So you already know that your risk profile is increasing. You already know. I mean, like Rosie, you said worst case scenario, you have a few years left before you don't know what to do with some of the issues that are being presented. Uh, because you don't count with that first line of support that you typically would in this industry. It's really important to be able to get a good mix of the technical and the commercial. Right? We've all seen it, and of course, we're all a little bit biased because we're all engineers, right? So we, to us it makes a lot of sense to go over the engineering route. But the pendulum swung, swung so [00:08:00] far towards the commercial for Ella, the ge, that it just, it. They were always thinking about, or it seemed from an outsider's point of view, right, that they were always thinking about, how can I get the easiest dollar today without really thinking about, okay, five 10 steps in the future, what's going to happen to my business model? Like, will this be sustainable? It did Just, I don't know, it seems to me like just letting go of so many engineers and just going, I know Rosie, you mentioned a couple of podcasts ago about how they just kept on going from like Gen A to Gen B, to Gen C, D, and then it just, without really solving any problems initially. Like, it, it, it was just. It's difficult for me to think that nobody in those leadership positions thought about what was gonna happen in the [00:09:00]future. Rosemary Barnes: Yeah. I think it was about day-to-day survival. 'cause I was definitely there like saying, you know, there's too many, um, technical problems that Yeah. When I was saying that a hundred, a hundred of versions of me were all saying that, a lot of us were saying it. Just in the cafeteria amongst ourselves. And a lot of us, uh, you know,

Prensa económica: El desastre de la vivienda social en Asturias

Play Episode Listen Later Nov 17, 2025 8:51

Rosana Laviada comenta con Beatriz García los principales titulares y noticias de la prensa económica centrada en el informe de LM sobre la vivienda.

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Tiers in Heaven 31: Stand-Up Comedians

Play Episode Listen Later Nov 12, 2025 66:04

There's two kinds of comedians: comedians and [REDACTED]. Join Spencer, Ty, and Andy as they discuss the finer points of America's largest and only growth sector: standup comedy. Also, please, if anyone knows Jeff Dunham, PLEASE tell me how to get in contact with him. PLEASE. Support us on Patreon for $5, $7, or $10: www.patreon.com/tgofv. A big shout-out to our $10/month patrons: Abbie Phelps, Adam W, Anthony Cabrera, asdf, Axon, Baylor Thornton, Bedi, bernventers, bunknown, Celeste, Charles Doyle, Dane Stephen, Dave Finlay, David Gebhardt, Dean, Francis Wolf, Heather-Pleather, Jacob Sauber-Cavazos, James Lloyd-Jones, Jennifer Knowles, Jeremy-Alice, Josh O'Brien, Kilo, LM, Lawrence, Louis Ceresa, Malek Douglas, Newmans Own, Packocamels, Phat Ass Cyberman, Rach, raouldyke, Rebecca Kimpel, revidicism, Sam Thomas, T, Tash Diehart, Themandme, Tomix, weedworf, William Copping, and Yung Zoe!

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Prensa económica: El exitoso legado económico de España en México

Deep Questions with Cal Newport

Play Episode Listen Later Nov 10, 2025 9:27

Rosana Laviada comenta con Luis F. Quintero el gran análisis de Rotellar en LM sobre el legado económico español en México y otros asuntos.

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149. Honoring Our Roots: Reviving Traditional Midwifery with Lisa Rawson

Born Wild Podcast

Play Episode Listen Later Nov 10, 2025 42:17

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65: 4. The Failure of the Soviet Zond Program and the Decision to Gamble on Apollo 8. Bob Zimmerman discusses the fierce moon race with the Soviet Union's Roscosmos, which utilized the Zond capsule for circumlunar missions. Zond 5 and 6, launched in late

The John Batchelor Show

Play Episode Listen Later Nov 8, 2025 9:27

4. The Failure of the Soviet Zond Program and the Decision to Gamble on Apollo 8. Bob Zimmerman discusses the fierce moon race with the Soviet Union's Roscosmos, which utilized the Zond capsule for circumlunar missions. Zond 5 and 6, launched in late 1968, suffered critical failures (guidance system and atmosphere loss, respectively), forcing the Soviets to cancel their planned manned December flight. Watching this, NASA manager George Low realized the Lunar Module (LM) for Apollo 8 was behind schedule. To maintain the initiative and potentially win the space race, Low and Sam Phillips made the aggressive decision to send Apollo 8 to the moon without the LM "lifeboat." They informed NASA boss James Webb after the decision was finalized. Webb, though initially upset, accepted the decision, betting that the engineering was sound enough to risk the mission in order to prove the US was superior. 1965 APOLLO 1

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Ep. 377: The Case Against Superintelligence

Play Episode Listen Later Nov 3, 2025 91:14

Techno-philosopher Eliezer Yudkowsky recently went on Ezra Klein's podcast to argue that if we continue on our path toward superintelligent AI, these machines will destroy humanity. In this episode, Cal responds to Yudkowsky's argument point by point, concluding with a more general claim that these general styles of discussions suffer from what he calls “the philosopher's fallacy,” and are distracting us from real problems with AI that are actually afflicting us right now. He then answers listener questions about AI, responds to listener comments from an earlier AI episode, and ends by discussing Alpha schools, which claim to use AI to 2x the speed of education. Below are the questions covered in today's episode (with their timestamps). Get your questions answered by Cal! Here's the link: bit.ly/3U3sTvoVideo from today's episode: youtube.com/calnewportmediaDeep Dive: The Case Against Superintelligence [0.01]How should students think about “AI Literacy”? [1:06:35]Did AI blackmail an engineer to not turn it off? [1:09:06]Can I use AI to mask my laziness? [1:12:31]COMMENTS: Cal reads LM comments [1:16:58]CALL: Clarification on Lincoln Protocol [1:21:36]CAL REACTS: Are AI-Powered Schools the Future? [1:24:46]Links:Buy Cal's latest book, “Slow Productivity” at calnewport.com/slowGet a signed copy of Cal's “Slow Productivity” at peoplesbooktakoma.com/event/cal-newport/Cal's monthly book directory: bramses.notion.site/059db2641def4a88988b4d2cee4657ba?youtube.com/watch?v=2Nn0-kAE5c0alpha.school/the-program/astralcodexten.com/i/166959786/part-three-how-alpha-works-partThanks to our Sponsors: byloftie.com (Use code “DEEP20”)expressvpn.com/deepshopify.com/deepvanta.com/deepquestionsThanks to Jesse Miller for production, Jay Kerstens for the intro music, and Mark Miles for mastering. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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Prensa Económica: La UE quiere ayudar ahora a las nucleares

Play Episode Listen Later Oct 24, 2025 4:26

Federico analiza con Beatriz García la prensa económica centrada en el informe de LM sobre las nucleares.

ahora mica econ quiere federico ayudar prensa lm la ue nucleares almaraz

Prensa económica: El Banco Mundial condena a España y los impagos de Sánchez a las renovables superan los 2.150 millones