Podcasts about Claud

Play Episode Listen Later May 2, 2025 7:12

Claud's mystery has come to a conclusion but it's opened up a conversation around believing in the supernatural... and what's on the other side. See omnystudio.com/listener for privacy information.

ZM's Bree & Clint Podcast - 2nd May 2025

clint doechii claud ali williams

Play Episode Listen Later May 2, 2025 59:39

The finale of Claud's mystery... or is it? Ali Williams and the successful first season for Auckland FC. Bree blows our minds. Fridayoke - Anxiety by Doechii. See omnystudio.com/listener for privacy information.

Episode 333: Revelation - Claud Werdal

Kennet Christian Centre

Play Episode Listen Later Apr 29, 2025 34:13

Revelation - Claud Werdal

revelation claud

L'histoire du livre – Les ponts d'étagement ferroviaires montréalais – Viatcheslav Molotov

Histoire de passer le temps

Play Episode Listen Later Apr 25, 2025 60:30

Cette semaine, à Histoire de passer le temps, Alexandre Haché nous présente l'histoire du livre en Occident, de son apparition au IVe siècle jusqu'à nos jours. D'abord un bien de luxe, le livre va progressivement devenir plus abordable grâce à diverses innovations. Claudèle Richard nous raconte comment les viaducs et tunnels de Montréal ont transformé le paysage de la ville. Construits pour renforcer la sécurité routière et ferroviaire en remplaçant les passages à niveau où se produisent de nombreux accidents, ils fournissent du travail aux chômeurs pendant les périodes de crise économique et fluidifient le réseau routier alors en pleine expansion. Finalement, Catherine Thiebault revient sur la vie de Viatcheslav Molotov. Si son nom est associé au pacte germano-soviétique ou encore au célèbre cocktail, que savons-nous exactement de cet homme qui, dans l'ombre de Staline, est parvenu à se maintenir dans les plus hautes sphères du pouvoir soviétique tout au long de l'histoire de l'URSS?

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Bree & Clint's After Party - 11th April 2025

Play Episode Listen Later Apr 11, 2025 7:46

Clint AND Ella are away so Bree and Claud will play.See omnystudio.com/listener for privacy information.

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Becca Barnard takes the mic for her podcast debut + MARCON recap!

Breakthrough B2B

Play Episode Listen Later Apr 2, 2025 17:50

After (maybe?) teasing a major celebrity guest yesterday—ahem, Ryan Reynolds—we're coming clean: April Fools! But hey, we didn't leave you hanging. We did bring in a new voice to the podcast this week: Becca Barnard! (Pronunciation still TBD. We'll get it eventually.)Becca is one of our newest Littlefielders, officially 90-ish days into her Project Manager role, and this week she teamed up with Claud for her very first podcast appearance! Together, they took over the mics to share their experience from last week's MARCON conference in OKC—and let's just say, they came back inspired.The duo covered a lot of ground: from using AI in research (something we're already exploring in bits and pieces at the agency), to sharpening short-form video skills in breakout sessions and extreme collaboration with clients.So no, Ryan Reynolds didn't show up. But Becca did. And she crushed it!–Brandon, Roop, Claudia, Sam & BeccaTell us what you think!

How AI is changing B2B visual branding

Breakthrough B2B

Play Episode Listen Later Mar 13, 2025 17:39

BIG NEWS on Little Talks this week—Courtney Roberts is making her podcast debut! After 14 years at the agency, she's finally stepping behind the mic to talk about something that's transforming the industry: AI in visual branding.Courtney and the gang get into how AI-powered tools are changing the way brands create visuals, from Photoshop enhancements to automated design platforms. While AI can speed up production and cut costs, it also comes with challenges—like the risk of generic, uninspired designs. AI can do 80% of the work, but should be used as a tool and not a replacement.Catch us next week!–Brandon, Courtney, Sam, Roop, Claud & BrendaTell us what you think!

ai big news photoshop claud roop visual branding little talks courtney roberts

Mainstream Media's Blind Spot: Lessons from Claud Cockburn on the Rise of Nazism (rewind)

Play Episode Listen Later Mar 12, 2025 28:41

Discover how Claude Cockburn's guerrilla journalism foresaw the rise of fascism in the 1930s and challenged mainstream media narratives.This show is made possible by you! To become a sustaining member go to https://LauraFlanders.org/donate Thank you for your continued support!Description: Mainstream media has a lot to account for in 2024, but go back 90 years, and prestigious publications have often failed to see when things were so clearly wrong. In 1930s Germany, many journalists downplayed Adolf Hitler's ascension to power, with the New York Times writing “There is no warrant for immediate alarm…The more violent parts of his alleged program he has himself in recent months been softening down or abandoning.” But one young British journalist who, seeing what was happening, quit his job with The London Times and founded The Week, a newsletter that became famous for its opposition to fascism and the Western powers that were enabling it. His name was Claud Cockburn, and he's the subject of a newly-released biography by his son, Patrick Cockburn, “Believe Nothing Until It Is Officially Denied: Claud Cockburn and the Invention of Guerrilla Journalism,” out now via Verso Books. Patrick is an award-winning journalist himself, with a long expertise in the Middle East. And Patrick is Laura Flanders' uncle; Claud is her grandfather. How did mainstream media miss what Claud knew about the rise of Nazis, and how did his guerilla journalism make an impact? And why is Claud's story so relevant now? All that, plus a commentary from Laura. (anchor episode originally released November 15th, 2024)Guest: Patrick Cockburn, Journalist, and author including “Believe Nothing Until It Is Officially Denied: Claud Cockburn and the Invention of Guerrilla Journalism”, Verso Books. Watch the broadcast episode cut for time at our YouTube channel and airing on PBS stations across the country Related Laura Flanders Show Episodes:• Stephanie Flanders on A Trump Economy & What to Watch in The Ultimate Election Year, Watch / Podcast: Abridged, Uncut Conversation• Arundhati Roy: Freedom, Fascism, Fiction and the Pandemic Portal, Watch/ Podcast: Abridged, Uncut Conversation• Laura's Commentary, F-Word: Bodies, Borders, Resistance, Rebirth: Arundhati Roy, Podcast• Patrick Cockburn on Syria, Watch Related Articles and Resources:• Opinion: Is Trump a fascist? Probably - but not like those of the 30s, by Patrick Cockburn, November 9 2024, iNews• Opinion: Netanyahu knows the US can't restrain him now, by Patrick Cockburn, October 2, 2024, iNews• Most political disasters are overstated - not this one, by Patrick Cockburn, November 6, 2024, iNews Full Episode Notes are located HERE. They include related episodes, articles, and more. Laura Flanders and Friends Crew: Laura Flanders, along with Sabrina Artel, Jeremiah Cothren, Veronica Delgado, Janet Hernandez, Jeannie Hopper, Sarah Miller, Nat Needham, David Neuman, and Rory O'Conner. FOLLOW Laura Flanders and FriendsInstagram: https://www.instagram.com/lauraflandersandfriends/Blueky: https://bsky.app/profile/lfandfriends.bsky.socialFacebook: https://www.facebook.com/LauraFlandersAndFriends/Tiktok: https://www.tiktok.com/@lauraflandersandfriendsYouTube: https://www.youtube.com/channel/UCFLRxVeYcB1H7DbuYZQG-lgLinkedin: https://www.linkedin.com/company/lauraflandersandfriendsPatreon: https://www.patreon.com/lauraflandersandfriendsACCESSIBILITY - The broadcast edition of this episode is available with closed captioned by clicking here for our YouTube Channel

Bree & Clint's After Party - 7th March 2025

international women clint claud

Play Episode Listen Later Mar 7, 2025 13:55

It's the day before International Women's Day and Bree, Claud and Ella are here to prove exactly why you should be sending compliments to your friends and how much it would mean to them. As Bree Tomasel once said "a compliment from a stranger is great, but a compliment from a friend means way more."See omnystudio.com/listener for privacy information.

Mainstream Media's Blind Spot: Lessons from Claud Cockburn on the Rise of Nazism (uncut - rewind)

Play Episode Listen Later Mar 7, 2025 62:43

Description: Mainstream media has a lot to account for in 2024, but go back 90 years, and prestigious publications have often failed to see when things were so clearly wrong. In 1930s Germany, many journalists downplayed Adolf Hitler's ascension to power, with the New York Times writing “There is no warrant for immediate alarm…The more violent parts of his alleged program he has himself in recent months been softening down or abandoning.” But one young British journalist who, seeing what was happening, quit his job with The London Times and founded The Week, a newsletter that became famous for its opposition to fascism and the Western powers that were enabling it. His name was Claud Cockburn, and he's the subject of a newly-released biography by his son, Patrick Cockburn, “Believe Nothing Until It Is Officially Denied: Claud Cockburn and the Invention of Guerrilla Journalism,” out now via Verso Books. Patrick is an award-winning journalist himself, with a long expertise in the Middle East. And Patrick is Laura Flanders' uncle; Claud is her grandfather. How did mainstream media miss what Claud knew about the rise of Nazis, and how did his guerilla journalism make an impact? And why is Claud's story so relevant now? All that, plus a commentary from Laura. (anchor episode originally released November 15th, 2024)Guest: Patrick Cockburn, Journalist, and author including “Believe Nothing Until It Is Officially Denied: Claud Cockburn and the Invention of Guerrilla Journalism”, Verso Books. Watch the broadcast episode cut for time at our YouTube channel and airing on PBS stations across the country Note- Full Conversation Release: While our weekly shows are edited to time for broadcast on Public TV and community radio, we offer to our members and podcast subscribers the full uncut conversation. The following is from our episode "Patrick & Claud Cockburn: A Legacy of Guerilla Journalism Against Media Complacency." These audio exclusives are made possible thanks to our member supporters. Become a supporting member at https://LauraFlanders.org/Donate Related Laura Flanders Show Episodes:• Stephanie Flanders on A Trump Economy & What to Watch in The Ultimate Election Year, Watch / Podcast: Abridged, Uncut Conversation• Arundhati Roy: Freedom, Fascism, Fiction and the Pandemic Portal, Watch/ Podcast: Abridged, Uncut Conversation• Laura's Commentary, F-Word: Bodies, Borders, Resistance, Rebirth: Arundhati Roy, Podcast• Patrick Cockburn on Syria, Watch Related Articles and Resources:• Opinion: Is Trump a fascist? Probably - but not like those of the 30s, by Patrick Cockburn, November 9 2024, iNews• Opinion: Netanyahu knows the US can't restrain him now, by Patrick Cockburn, October 2, 2024, iNews• Most political disasters are overstated - not this one, by Patrick Cockburn, November 6, 2024, iNews Full Episode Notes are located HERE. They include related episodes, articles, and more. Laura Flanders and Friends Crew: Laura Flanders, along with Sabrina Artel, Jeremiah Cothren, Veronica Delgado, Janet Hernandez, Jeannie Hopper, Sarah Miller, Nat Needham, David Neuman, and Rory O'Conner. FOLLOW Laura Flanders and FriendsInstagram: https://www.instagram.com/lauraflandersandfriends/Blueky: https://bsky.app/profile/lfandfriends.bsky.socialFacebook: https://www.facebook.com/LauraFlandersAndFriends/Tiktok: https://www.tiktok.com/@lauraflandersandfriendsYouTube: https://www.youtube.com/channel/UCFLRxVeYcB1H7DbuYZQG-lgLinkedin: https://www.linkedin.com/company/lauraflandersandfriendsPatreon: https://www.patreon.com/lauraflandersandfriendsACCESSIBILITY - The broadcast edition of this episode is available with closed captioned by clicking here for our YouTube Channel

ZM's Bree & Clint Podcast - 4th March 2025

Dr. Bergâ€™s Healthy Keto and Intermittent Fasting Podcast

Play Episode Listen Later Mar 4, 2025 61:52

What deal did you make with your partner? Things people expect you to do for free. Bree & Claud want to see a psychic. Name in a Haystack is at $600! See omnystudio.com/listener for privacy information.

clint haystack claud

Leveraging inbound content for B2B success

Breakthrough B2B

Play Episode Listen Later Feb 26, 2025 15:55

In this episode of Little Talks, Sam is back in the studio after his trip to the MAGNET conference in Miami, and Claud takes the reins for the first time as a solo podcast producer! Where's Brandon? Listen to find out!The gang talks inbound content for B2B brands this week, breaking down why knowing your audience's wants and needs, and creating inbound content to address them, can drive ongoing success.It's all about meeting your customers where they are as people, and not constantly hitting them with the hard sell. Whether it's through blogs, videos, or even podcasts, a well-executed inbound content strategy will keep your brand top of mind for when your future customers are ready to buy.See you next week, and thanks for listening!-Brandon, Claudia, Brenda, Roop & SamTell us what you think!

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The System Is Rigged

Play Episode Listen Later Feb 24, 2025 11:20

Please join me in welcoming Hal Cranmer and Claud Covaci! Claud is the CEO of a software company that manages the medications people take in assisted living homes. In a sampling of 100 residents, the average resident is on 48 medications. Some residents were even taking up to 91 medications! This isn't healthcare.In Hal's assisted living homes, he implements programs to help people get off their medications. Many of his residents have seen a 50% decrease in medication usage. Hal focuses on diet and doesn't serve institutional or ultra-processed foods in his facilities. Dementia is the top problem in assisted living homes and is extremely expensive, costing an average of $800,000 to $1.5 million per person. Hal explains that dementia starts in your 30s and 40s, so it's a very difficult condition to reverse. Under Hal's protocol, he has seen improvement, even in people with dementia. The US healthcare system is focused on medicine, not food, but food is the most significant contributor to your health! Medications treat the side effects of junk food consumption, and the side effects of medications are then treated with more medication.The ultimate goal should be to decrease medications, get people off them, and hopefully help them regain independence. The current healthcare model does not support these goals. One record for a single patient shows they're on medication for high blood pressure, cholesterol, tremors, blood clots, stool softeners, antidepressants, seizures, insulin, schizophrenia, runny nose, nausea, prostate enlargement, and more. This is insane!Failing to address the diet before prescribing these medications misses the root cause of the problems. DATA: https://aparadiseforparents.com/Check out all the success stories on my website: https://bit.ly/418dtdG

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Who's Winning In AI? A Breakdown Of The Top Competitors

Good Morning Gwinnett Podcast

Play Episode Listen Later Feb 18, 2025 28:49

Support Good Morning Gwinnett $5.99 A Month https://www.spreaker.com/podcast/good-morning-gwinnett-podcast--3262933/support_________________________________________________________________________________In this episode, we dive into the ultimate AI showdown—Who's Winning in AI? We compare the top AI models, including Grok, ChatGPT, DeepSeek, Claude, Gemini, Perplexity, and Copilot, breaking down their strengths, weaknesses, and best use cases. Whether you're looking for the best AI for content creation, real-time search, business productivity, or ethical AI, we've got you covered. Tune in to find out which AI model is leading the race and which one fits your needs best!

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La Entrevista | Carmen Claudín: "Trump está haciendo posible el sueño más húmedo de Putin"

Hora 25

Play Episode Listen Later Feb 12, 2025 5:58

Aimar Bretos entrevista a Carmen Claudín, investigadora sénior asociada del CIDOB, sobre las negociaciones de paz en Ucrania

donald trump vladimir putin medo haciendo ucrania el sue la entrevista claud cidob

Dr. Claud Anderson's Powernomics: Strategies for Building Economic Power

Trevor Jackson Podcast

Play Episode Listen Later Feb 2, 2025 61:37

As we commence Black History Month 2025, I aim to discuss Dr. Claud Anderson's insights on Powernomics and acquire a physical copy of his book. He begins by questioning the level of sensitivity and concern for the Black community, asserting that the Black race faces an insurmountable economic predicament. He predicts that by 2013, Black Americans will be relegated to a permanent underclass. Furthermore, he critiques the federal government's repeated interventions on behalf of Black Americans and poses a thought-provoking question regarding the role of technology as an information highway, emphasizing the importance of what is being conveyed. This marks the first part of the episode, with a second installment forthcoming. I appreciate your engagement in celebrating Black knowledge this month and your support through channel subscriptions.Donate To The Podcast | https://cash.app/$waveynuetronFollow Us On #Instagram | https://instagram.com/thetrevorjacksonpodcast?igshid=YmMyMTA2M2Y=Tap In W/ The Family On #Twitter | https://twitter.com/trevorj865/status/1624799477323165697?s=46&t=cwguTTrEhwYeAaQMgOAY4wFollow The Group On #Facebook | https://www.facebook.com/groups/308646383559995/?ref=share_group_link#SnakeThaGreat | 10pm In #LosAngeles | Apple Music | https://music.apple.com/us/album/10pm-in-los-angeles-single/1654989802Copyright Disclaimer under section 107 of the copyright Act 1976. allowance is made for "fair use" for purposes such as criticism. Comment. News. reporting. Teaching. Scholarship . and research. Fair use is a use permitted by copy status that might otherwise be infringing Non-profit. Educational or per Sonal use tips the balance in favor of fair use ...

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Bree & Clint's After Party - 30th January 2025

Play Episode Listen Later Jan 30, 2025 8:55

We finally get to take a bite of Claud's hairy peaches (not a euphemism...). Come outside of the studio with us as Bree shows the team the proper way to clean a peach (again, not a euphemism).See omnystudio.com/listener for privacy information.

Varsity Radio Show's Podcast

Faith, Grit, and Game Day: Inspiring Stories from Arab High School Athletes

Play Episode Listen Later Jan 15, 2025 103:25

In this special episode of The Varsity Radio Show, we welcome Arab High School athletes Lawson King and Claud Burke for a heartfelt and entertaining conversation. From Lawson's journey of resilience after shoulder injuries to Claud's rediscovery of his love for golf, their stories inspire with themes of faith, perseverance, and teamwork. Highlights include the life lessons they've learned from their coaches, the camaraderie of their teams, and their plans for the future. Plus, don't miss a hilarious live juggling moment and reflections on balancing sports with a faith-driven life. Tune in for a mix of laughter, wisdom, and motivation.

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Latent.Space 2024 Year in Review

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 Dec 31, 2024 111:07

Applications for the 2025 AI Engineer Summit are up, and you can save the date for AIE Singapore in April and AIE World's Fair 2025 in June.Happy new year, and thanks for 100 great episodes! Please let us know what you want to see/hear for the next 100!Full YouTube Episode with Slides/ChartsLike and subscribe and hit that bell to get notifs!Timestamps* 00:00 Welcome to the 100th Episode!* 00:19 Reflecting on the Journey* 00:47 AI Engineering: The Rise and Impact* 03:15 Latent Space Live and AI Conferences* 09:44 The Competitive AI Landscape* 21:45 Synthetic Data and Future Trends* 35:53 Creative Writing with AI* 36:12 Legal and Ethical Issues in AI* 38:18 The Data War: GPU Poor vs. GPU Rich* 39:12 The Rise of GPU Ultra Rich* 40:47 Emerging Trends in AI Models* 45:31 The Multi-Modality War* 01:05:31 The Future of AI Benchmarks* 01:13:17 Pionote and Frontier Models* 01:13:47 Niche Models and Base Models* 01:14:30 State Space Models and RWKB* 01:15:48 Inference Race and Price Wars* 01:22:16 Major AI Themes of the Year* 01:22:48 AI Rewind: January to March* 01:26:42 AI Rewind: April to June* 01:33:12 AI Rewind: July to September* 01:34:59 AI Rewind: October to December* 01:39:53 Year-End Reflections and PredictionsTranscript[00:00:00] Welcome to the 100th Episode![00:00:00] Alessio: Hey everyone, welcome to the Latent Space Podcast. This is Alessio, partner and CTO at Decibel Partners, and I'm joined by my co host Swyx for the 100th time today.[00:00:12] swyx: Yay, um, and we're so glad that, yeah, you know, everyone has, uh, followed us in this journey. How do you feel about it? 100 episodes.[00:00:19] Alessio: Yeah, I know.[00:00:19] Reflecting on the Journey[00:00:19] Alessio: Almost two years that we've been doing this. We've had four different studios. Uh, we've had a lot of changes. You know, we used to do this lightning round. When we first started that we didn't like, and we tried to change the question. The answer[00:00:32] swyx: was cursor and perplexity.[00:00:34] Alessio: Yeah, I love mid journey. It's like, do you really not like anything else?[00:00:38] Alessio: Like what's, what's the unique thing? And I think, yeah, we, we've also had a lot more research driven content. You know, we had like 3DAO, we had, you know. Jeremy Howard, we had more folks like that.[00:00:47] AI Engineering: The Rise and Impact[00:00:47] Alessio: I think we want to do more of that too in the new year, like having, uh, some of the Gemini folks, both on the research and the applied side.[00:00:54] Alessio: Yeah, but it's been a ton of fun. I think we both started, I wouldn't say as a joke, we were kind of like, Oh, we [00:01:00] should do a podcast. And I think we kind of caught the right wave, obviously. And I think your rise of the AI engineer posts just kind of get people. Sombra to congregate, and then the AI engineer summit.[00:01:11] Alessio: And that's why when I look at our growth chart, it's kind of like a proxy for like the AI engineering industry as a whole, which is almost like, like, even if we don't do that much, we keep growing just because there's so many more AI engineers. So did you expect that growth or did you expect that would take longer for like the AI engineer thing to kind of like become, you know, everybody talks about it today.[00:01:32] swyx: So, the sign of that, that we have won is that Gartner puts it at the top of the hype curve right now. So Gartner has called the peak in AI engineering. I did not expect, um, to what level. I knew that I was correct when I called it because I did like two months of work going into that. But I didn't know, You know, how quickly it could happen, and obviously there's a chance that I could be wrong.[00:01:52] swyx: But I think, like, most people have come around to that concept. Hacker News hates it, which is a good sign. But there's enough people that have defined it, you know, GitHub, when [00:02:00] they launched GitHub Models, which is the Hugging Face clone, they put AI engineers in the banner, like, above the fold, like, in big So I think it's like kind of arrived as a meaningful and useful definition.[00:02:12] swyx: I think people are trying to figure out where the boundaries are. I think that was a lot of the quote unquote drama that happens behind the scenes at the World's Fair in June. Because I think there's a lot of doubt or questions about where ML engineering stops and AI engineering starts. That's a useful debate to be had.[00:02:29] swyx: In some sense, I actually anticipated that as well. So I intentionally did not. Put a firm definition there because most of the successful definitions are necessarily underspecified and it's actually useful to have different perspectives and you don't have to specify everything from the outset.[00:02:45] Alessio: Yeah, I was at um, AWS reInvent and the line to get into like the AI engineering talk, so to speak, which is, you know, applied AI and whatnot was like, there are like hundreds of people just in line to go in.[00:02:56] Alessio: I think that's kind of what enabled me. People, right? Which is what [00:03:00] you kind of talked about. It's like, Hey, look, you don't actually need a PhD, just, yeah, just use the model. And then maybe we'll talk about some of the blind spots that you get as an engineer with the earlier posts that we also had on on the sub stack.[00:03:11] Alessio: But yeah, it's been a heck of a heck of a two years.[00:03:14] swyx: Yeah.[00:03:15] Latent Space Live and AI Conferences[00:03:15] swyx: You know, I was, I was trying to view the conference as like, so NeurIPS is I think like 16, 17, 000 people. And the Latent Space Live event that we held there was 950 signups. I think. The AI world, the ML world is still very much research heavy. And that's as it should be because ML is very much in a research phase.[00:03:34] swyx: But as we move this entire field into production, I think that ratio inverts into becoming more engineering heavy. So at least I think engineering should be on the same level, even if it's never as prestigious, like it'll always be low status because at the end of the day, you're manipulating APIs or whatever.[00:03:51] swyx: But Yeah, wrapping GPTs, but there's going to be an increasing stack and an art to doing these, these things well. And I, you know, I [00:04:00] think that's what we're focusing on for the podcast, the conference and basically everything I do seems to make sense. And I think we'll, we'll talk about the trends here that apply.[00:04:09] swyx: It's, it's just very strange. So, like, there's a mix of, like, keeping on top of research while not being a researcher and then putting that research into production. So, like, people always ask me, like, why are you covering Neuralibs? Like, this is a ML research conference and I'm like, well, yeah, I mean, we're not going to, to like, understand everything Or reproduce every single paper, but the stuff that is being found here is going to make it through into production at some point, you hope.[00:04:32] swyx: And then actually like when I talk to the researchers, they actually get very excited because they're like, oh, you guys are actually caring about how this goes into production and that's what they really really want. The measure of success is previously just peer review, right? Getting 7s and 8s on their um, Academic review conferences and stuff like citations is one metric, but money is a better metric.[00:04:51] Alessio: Money is a better metric. Yeah, and there were about 2200 people on the live stream or something like that. Yeah, yeah. Hundred on the live stream. So [00:05:00] I try my best to moderate, but it was a lot spicier in person with Jonathan and, and Dylan. Yeah, that it was in the chat on YouTube.[00:05:06] swyx: I would say that I actually also created.[00:05:09] swyx: Layen Space Live in order to address flaws that are perceived in academic conferences. This is not NeurIPS specific, it's ICML, NeurIPS. Basically, it's very sort of oriented towards the PhD student, uh, market, job market, right? Like literally all, basically everyone's there to advertise their research and skills and get jobs.[00:05:28] swyx: And then obviously all the, the companies go there to hire them. And I think that's great for the individual researchers, but for people going there to get info is not great because you have to read between the lines, bring a ton of context in order to understand every single paper. So what is missing is effectively what I ended up doing, which is domain by domain, go through and recap the best of the year.[00:05:48] swyx: Survey the field. And there are, like NeurIPS had a, uh, I think ICML had a like a position paper track, NeurIPS added a benchmarks, uh, datasets track. These are ways in which to address that [00:06:00] issue. Uh, there's always workshops as well. Every, every conference has, you know, a last day of workshops and stuff that provide more of an overview.[00:06:06] swyx: But they're not specifically prompted to do so. And I think really, uh, Organizing a conference is just about getting good speakers and giving them the correct prompts. And then they will just go and do that thing and they do a very good job of it. So I think Sarah did a fantastic job with the startups prompt.[00:06:21] swyx: I can't list everybody, but we did best of 2024 in startups, vision, open models. Post transformers, synthetic data, small models, and agents. And then the last one was the, uh, and then we also did a quick one on reasoning with Nathan Lambert. And then the last one, obviously, was the debate that people were very hyped about.[00:06:39] swyx: It was very awkward. And I'm really, really thankful for John Franco, basically, who stepped up to challenge Dylan. Because Dylan was like, yeah, I'll do it. But He was pro scaling. And I think everyone who is like in AI is pro scaling, right? So you need somebody who's ready to publicly say, no, we've hit a wall.[00:06:57] swyx: So that means you're saying Sam Altman's wrong. [00:07:00] You're saying, um, you know, everyone else is wrong. It helps that this was the day before Ilya went on, went up on stage and then said pre training has hit a wall. And data has hit a wall. So actually Jonathan ended up winning, and then Ilya supported that statement, and then Noam Brown on the last day further supported that statement as well.[00:07:17] swyx: So it's kind of interesting that I think the consensus kind of going in was that we're not done scaling, like you should believe in a better lesson. And then, four straight days in a row, you had Sepp Hochreiter, who is the creator of the LSTM, along with everyone's favorite OG in AI, which is Juergen Schmidhuber.[00:07:34] swyx: He said that, um, we're pre trading inside a wall, or like, we've run into a different kind of wall. And then we have, you know John Frankel, Ilya, and then Noam Brown are all saying variations of the same thing, that we have hit some kind of wall in the status quo of what pre trained, scaling large pre trained models has looked like, and we need a new thing.[00:07:54] swyx: And obviously the new thing for people is some make, either people are calling it inference time compute or test time [00:08:00] compute. I think the collective terminology has been inference time, and I think that makes sense because test time, calling it test, meaning, has a very pre trained bias, meaning that the only reason for running inference at all is to test your model.[00:08:11] swyx: That is not true. Right. Yeah. So, so, I quite agree that. OpenAI seems to have adopted, or the community seems to have adopted this terminology of ITC instead of TTC. And that, that makes a lot of sense because like now we care about inference, even right down to compute optimality. Like I actually interviewed this author who recovered or reviewed the Chinchilla paper.[00:08:31] swyx: Chinchilla paper is compute optimal training, but what is not stated in there is it's pre trained compute optimal training. And once you start caring about inference, compute optimal training, you have a different scaling law. And in a way that we did not know last year.[00:08:45] Alessio: I wonder, because John is, he's also on the side of attention is all you need.[00:08:49] Alessio: Like he had the bet with Sasha. So I'm curious, like he doesn't believe in scaling, but he thinks the transformer, I wonder if he's still. So, so,[00:08:56] swyx: so he, obviously everything is nuanced and you know, I told him to play a character [00:09:00] for this debate, right? So he actually does. Yeah. He still, he still believes that we can scale more.[00:09:04] swyx: Uh, he just assumed the character to be very game for, for playing this debate. So even more kudos to him that he assumed a position that he didn't believe in and still won the debate.[00:09:16] Alessio: Get rekt, Dylan. Um, do you just want to quickly run through some of these things? Like, uh, Sarah's presentation, just the highlights.[00:09:24] swyx: Yeah, we can't go through everyone's slides, but I pulled out some things as a factor of, like, stuff that we were going to talk about. And we'll[00:09:30] Alessio: publish[00:09:31] swyx: the rest. Yeah, we'll publish on this feed the best of 2024 in those domains. And hopefully people can benefit from the work that our speakers have done.[00:09:39] swyx: But I think it's, uh, these are just good slides. And I've been, I've been looking for a sort of end of year recaps from, from people.[00:09:44] The Competitive AI Landscape[00:09:44] swyx: The field has progressed a lot. You know, I think the max ELO in 2023 on LMSys used to be 1200 for LMSys ELOs. And now everyone is at least at, uh, 1275 in their ELOs, and this is across Gemini, Chadjibuti, [00:10:00] Grok, O1.[00:10:01] swyx: ai, which with their E Large model, and Enthopic, of course. It's a very, very competitive race. There are multiple Frontier labs all racing, but there is a clear tier zero Frontier. And then there's like a tier one. It's like, I wish I had everything else. Tier zero is extremely competitive. It's effectively now three horse race between Gemini, uh, Anthropic and OpenAI.[00:10:21] swyx: I would say that people are still holding out a candle for XAI. XAI, I think, for some reason, because their API was very slow to roll out, is not included in these metrics. So it's actually quite hard to put on there. As someone who also does charts, XAI is continually snubbed because they don't work well with the benchmarking people.[00:10:42] swyx: Yeah, yeah, yeah. It's a little trivia for why XAI always gets ignored. The other thing is market share. So these are slides from Sarah. We have it up on the screen. It has gone from very heavily open AI. So we have some numbers and estimates. These are from RAMP. Estimates of open AI market share in [00:11:00] December 2023.[00:11:01] swyx: And this is basically, what is it, GPT being 95 percent of production traffic. And I think if you correlate that with stuff that we asked. Harrison Chase on the LangChain episode, it was true. And then CLAUD 3 launched mid middle of this year. I think CLAUD 3 launched in March, CLAUD 3. 5 Sonnet was in June ish.[00:11:23] swyx: And you can start seeing the market share shift towards opening, uh, towards that topic, uh, very, very aggressively. The more recent one is Gemini. So if I scroll down a little bit, this is an even more recent dataset. So RAM's dataset ends in September 2 2. 2024. Gemini has basically launched a price war at the low end, uh, with Gemini Flash, uh, being basically free for personal use.[00:11:44] swyx: Like, I think people don't understand the free tier. It's something like a billion tokens per day. Unless you're trying to abuse it, you cannot really exhaust your free tier on Gemini. They're really trying to get you to use it. They know they're in like third place, um, fourth place, depending how you, how you count.[00:11:58] swyx: And so they're going after [00:12:00] the Lower tier first, and then, you know, maybe the upper tier later, but yeah, Gemini Flash, according to OpenRouter, is now 50 percent of their OpenRouter requests. Obviously, these are the small requests. These are small, cheap requests that are mathematically going to be more.[00:12:15] swyx: The smart ones obviously are still going to OpenAI. But, you know, it's a very, very big shift in the market. Like basically 2023, 2022, To going into 2024 opening has gone from nine five market share to Yeah. Reasonably somewhere between 50 to 75 market share.[00:12:29] Alessio: Yeah. I'm really curious how ramped does the attribution to the model?[00:12:32] Alessio: If it's API, because I think it's all credit card spin. . Well, but it's all, the credit card doesn't say maybe. Maybe the, maybe when they do expenses, they upload the PDF, but yeah, the, the German I think makes sense. I think that was one of my main 2024 takeaways that like. The best small model companies are the large labs, which is not something I would have thought that the open source kind of like long tail would be like the small model.[00:12:53] swyx: Yeah, different sizes of small models we're talking about here, right? Like so small model here for Gemini is AB, [00:13:00] right? Uh, mini. We don't know what the small model size is, but yeah, it's probably in the double digits or maybe single digits, but probably double digits. The open source community has kind of focused on the one to three B size.[00:13:11] swyx: Mm-hmm . Yeah. Maybe[00:13:12] swyx: zero, maybe 0.5 B uh, that's moon dream and that is small for you then, then that's great. It makes sense that we, we have a range for small now, which is like, may, maybe one to five B. Yeah. I'll even put that at, at, at the high end. And so this includes Gemma from Gemini as well. But also includes the Apple Foundation models, which I think Apple Foundation is 3B.[00:13:32] Alessio: Yeah. No, that's great. I mean, I think in the start small just meant cheap. I think today small is actually a more nuanced discussion, you know, that people weren't really having before.[00:13:43] swyx: Yeah, we can keep going. This is a slide that I smiley disagree with Sarah. She's pointing to the scale SEAL leaderboard. I think the Researchers that I talked with at NeurIPS were kind of positive on this because basically you need private test [00:14:00] sets to prevent contamination.[00:14:02] swyx: And Scale is one of maybe three or four people this year that has really made an effort in doing a credible private test set leaderboard. Llama405B does well compared to Gemini and GPT 40. And I think that's good. I would say that. You know, it's good to have an open model that is that big, that does well on those metrics.[00:14:23] swyx: But anyone putting 405B in production will tell you, if you scroll down a little bit to the artificial analysis numbers, that it is very slow and very expensive to infer. Um, it doesn't even fit on like one node. of, uh, of H100s. Cerebras will be happy to tell you they can serve 4 or 5B on their super large chips.[00:14:42] swyx: But, um, you know, if you need to do anything custom to it, you're still kind of constrained. So, is 4 or 5B really that relevant? Like, I think most people are basically saying that they only use 4 or 5B as a teacher model to distill down to something. Even Meta is doing it. So with Lama 3. [00:15:00] 3 launched, they only launched the 70B because they use 4 or 5B to distill the 70B.[00:15:03] swyx: So I don't know if like open source is keeping up. I think they're the, the open source industrial complex is very invested in telling you that the, if the gap is narrowing, I kind of disagree. I think that the gap is widening with O1. I think there are very, very smart people trying to narrow that gap and they should.[00:15:22] swyx: I really wish them success, but you cannot use a chart that is nearing 100 in your saturation chart. And look, the distance between open source and closed source is narrowing. Of course it's going to narrow because you're near 100. This is stupid. But in metrics that matter, is open source narrowing?[00:15:38] swyx: Probably not for O1 for a while. And it's really up to the open source guys to figure out if they can match O1 or not.[00:15:46] Alessio: I think inference time compute is bad for open source just because, you know, Doc can donate the flops at training time, but he cannot donate the flops at inference time. So it's really hard to like actually keep up on that axis.[00:15:59] Alessio: Big, big business [00:16:00] model shift. So I don't know what that means for the GPU clouds. I don't know what that means for the hyperscalers, but obviously the big labs have a lot of advantage. Because, like, it's not a static artifact that you're putting the compute in. You're kind of doing that still, but then you're putting a lot of computed inference too.[00:16:17] swyx: Yeah, yeah, yeah. Um, I mean, Llama4 will be reasoning oriented. We talked with Thomas Shalom. Um, kudos for getting that episode together. That was really nice. Good, well timed. Actually, I connected with the AI meta guy, uh, at NeurIPS, and, um, yeah, we're going to coordinate something for Llama4. Yeah, yeah,[00:16:32] Alessio: and our friend, yeah.[00:16:33] Alessio: Clara Shi just joined to lead the business agent side. So I'm sure we'll have her on in the new year.[00:16:39] swyx: Yeah. So, um, my comment on, on the business model shift, this is super interesting. Apparently it is wide knowledge that OpenAI wanted more than 6. 6 billion dollars for their fundraise. They wanted to raise, you know, higher, and they did not.[00:16:51] swyx: And what that means is basically like, it's very convenient that we're not getting GPT 5, which would have been a larger pre train. We should have a lot of upfront money. And [00:17:00] instead we're, we're converting fixed costs into variable costs, right. And passing it on effectively to the customer. And it's so much easier to take margin there because you can directly attribute it to like, Oh, you're using this more.[00:17:12] swyx: Therefore you, you pay more of the cost and I'll just slap a margin in there. So like that lets you control your growth margin and like tie your. Your spend, or your sort of inference spend, accordingly. And it's just really interesting to, that this change in the sort of inference paradigm has arrived exactly at the same time that the funding environment for pre training is effectively drying up, kind of.[00:17:36] swyx: I feel like maybe the VCs are very in tune with research anyway, so like, they would have noticed this, but, um, it's just interesting.[00:17:43] Alessio: Yeah, and I was looking back at our yearly recap of last year. Yeah. And the big thing was like the mixed trial price fights, you know, and I think now it's almost like there's nowhere to go, like, you know, Gemini Flash is like basically giving it away for free.[00:17:55] Alessio: So I think this is a good way for the labs to generate more revenue and pass down [00:18:00] some of the compute to the customer. I think they're going to[00:18:02] swyx: keep going. I think that 2, will come.[00:18:05] Alessio: Yeah, I know. Totally. I mean, next year, the first thing I'm doing is signing up for Devin. Signing up for the pro chat GBT.[00:18:12] Alessio: Just to try. I just want to see what does it look like to spend a thousand dollars a month on AI?[00:18:17] swyx: Yes. Yes. I think if your, if your, your job is a, at least AI content creator or VC or, you know, someone who, whose job it is to stay on, stay on top of things, you should already be spending like a thousand dollars a month on, on stuff.[00:18:28] swyx: And then obviously easy to spend, hard to use. You have to actually use. The good thing is that actually Google lets you do a lot of stuff for free now. So like deep research. That they just launched. Uses a ton of inference and it's, it's free while it's in preview.[00:18:45] Alessio: Yeah. They need to put that in Lindy.[00:18:47] Alessio: I've been using Lindy lately. I've been a built a bunch of things once we had flow because I liked the new thing. It's pretty good. I even did a phone call assistant. Um, yeah, they just launched Lindy voice. Yeah, I think once [00:19:00] they get advanced voice mode like capability today, still like speech to text, you can kind of tell.[00:19:06] Alessio: Um, but it's good for like reservations and things like that. So I have a meeting prepper thing. And so[00:19:13] swyx: it's good. Okay. I feel like we've, we've covered a lot of stuff. Uh, I, yeah, I, you know, I think We will go over the individual, uh, talks in a separate episode. Uh, I don't want to take too much time with, uh, this stuff, but that suffice to say that there is a lot of progress in each field.[00:19:28] swyx: Uh, we covered vision. Basically this is all like the audience voting for what they wanted. And then I just invited the best people I could find in each audience, especially agents. Um, Graham, who I talked to at ICML in Vienna, he is currently still number one. It's very hard to stay on top of SweetBench.[00:19:45] swyx: OpenHand is currently still number one. switchbench full, which is the hardest one. He had very good thoughts on agents, which I, which I'll highlight for people. Everyone is saying 2025 is the year of agents, just like they said last year. And, uh, but he had [00:20:00] thoughts on like eight parts of what are the frontier problems to solve in agents.[00:20:03] swyx: And so I'll highlight that talk as well.[00:20:05] Alessio: Yeah. The number six, which is the Hacken agents learn more about the environment, has been a Super interesting to us as well, just to think through, because, yeah, how do you put an agent in an enterprise where most things in an enterprise have never been public, you know, a lot of the tooling, like the code bases and things like that.[00:20:23] Alessio: So, yeah, there's not indexing and reg. Well, yeah, but it's more like. You can't really rag things that are not documented. But people know them based on how they've been doing it. You know, so I think there's almost this like, you know, Oh, institutional knowledge. Yeah, the boring word is kind of like a business process extraction.[00:20:38] Alessio: Yeah yeah, I see. It's like, how do you actually understand how these things are done? I see. Um, and I think today the, the problem is that, Yeah, the agents are, that most people are building are good at following instruction, but are not as good as like extracting them from you. Um, so I think that will be a big unlock just to touch quickly on the Jeff Dean thing.[00:20:55] Alessio: I thought it was pretty, I mean, we'll link it in the, in the things, but. I think the main [00:21:00] focus was like, how do you use ML to optimize the systems instead of just focusing on ML to do something else? Yeah, I think speculative decoding, we had, you know, Eugene from RWKB on the podcast before, like he's doing a lot of that with Fetterless AI.[00:21:12] swyx: Everyone is. I would say it's the norm. I'm a little bit uncomfortable with how much it costs, because it does use more of the GPU per call. But because everyone is so keen on fast inference, then yeah, makes sense.[00:21:24] Alessio: Exactly. Um, yeah, but we'll link that. Obviously Jeff is great.[00:21:30] swyx: Jeff is, Jeff's talk was more, it wasn't focused on Gemini.[00:21:33] swyx: I think people got the wrong impression from my tweet. It's more about how Google approaches ML and uses ML to design systems and then systems feedback into ML. And I think this ties in with Lubna's talk.[00:21:45] Synthetic Data and Future Trends[00:21:45] swyx: on synthetic data where it's basically the story of bootstrapping of humans and AI in AI research or AI in production.[00:21:53] swyx: So her talk was on synthetic data, where like how much synthetic data has grown in 2024 in the pre training side, the post training side, [00:22:00] and the eval side. And I think Jeff then also extended it basically to chips, uh, to chip design. So he'd spend a lot of time talking about alpha chip. And most of us in the audience are like, we're not working on hardware, man.[00:22:11] swyx: Like you guys are great. TPU is great. Okay. We'll buy TPUs.[00:22:14] Alessio: And then there was the earlier talk. Yeah. But, and then we have, uh, I don't know if we're calling them essays. What are we calling these? But[00:22:23] swyx: for me, it's just like bonus for late in space supporters, because I feel like they haven't been getting anything.[00:22:29] swyx: And then I wanted a more high frequency way to write stuff. Like that one I wrote in an afternoon. I think basically we now have an answer to what Ilya saw. It's one year since. The blip. And we know what he saw in 2014. We know what he saw in 2024. We think we know what he sees in 2024. He gave some hints and then we have vague indications of what he saw in 2023.[00:22:54] swyx: So that was the Oh, and then 2016 as well, because of this lawsuit with Elon, OpenAI [00:23:00] is publishing emails from Sam's, like, his personal text messages to Siobhan, Zelis, or whatever. So, like, we have emails from Ilya saying, this is what we're seeing in OpenAI, and this is why we need to scale up GPUs. And I think it's very prescient in 2016 to write that.[00:23:16] swyx: And so, like, it is exactly, like, basically his insights. It's him and Greg, basically just kind of driving the scaling up of OpenAI, while they're still playing Dota. They're like, no, like, we see the path here.[00:23:30] Alessio: Yeah, and it's funny, yeah, they even mention, you know, we can only train on 1v1 Dota. We need to train on 5v5, and that takes too many GPUs.[00:23:37] Alessio: Yeah,[00:23:37] swyx: and at least for me, I can speak for myself, like, I didn't see the path from Dota to where we are today. I think even, maybe if you ask them, like, they wouldn't necessarily draw a straight line. Yeah,[00:23:47] Alessio: no, definitely. But I think like that was like the whole idea of almost like the RL and we talked about this with Nathan on his podcast.[00:23:55] Alessio: It's like with RL, you can get very good at specific things, but then you can't really like generalize as much. And I [00:24:00] think the language models are like the opposite, which is like, you're going to throw all this data at them and scale them up, but then you really need to drive them home on a specific task later on.[00:24:08] Alessio: And we'll talk about the open AI reinforcement, fine tuning, um, announcement too, and all of that. But yeah, I think like scale is all you need. That's kind of what Elia will be remembered for. And I think just maybe to clarify on like the pre training is over thing that people love to tweet. I think the point of the talk was like everybody, we're scaling these chips, we're scaling the compute, but like the second ingredient which is data is not scaling at the same rate.[00:24:35] Alessio: So it's not necessarily pre training is over. It's kind of like What got us here won't get us there. In his email, he predicted like 10x growth every two years or something like that. And I think maybe now it's like, you know, you can 10x the chips again, but[00:24:49] swyx: I think it's 10x per year. Was it? I don't know.[00:24:52] Alessio: Exactly. And Moore's law is like 2x. So it's like, you know, much faster than that. And yeah, I like the fossil fuel of AI [00:25:00] analogy. It's kind of like, you know, the little background tokens thing. So the OpenAI reinforcement fine tuning is basically like, instead of fine tuning on data, you fine tune on a reward model.[00:25:09] Alessio: So it's basically like, instead of being data driven, it's like task driven. And I think people have tasks to do, they don't really have a lot of data. So I'm curious to see how that changes, how many people fine tune, because I think this is what people run into. It's like, Oh, you can fine tune llama. And it's like, okay, where do I get the data?[00:25:27] Alessio: To fine tune it on, you know, so it's great that we're moving the thing. And then I really like he had this chart where like, you know, the brain mass and the body mass thing is basically like mammals that scaled linearly by brain and body size, and then humans kind of like broke off the slope. So it's almost like maybe the mammal slope is like the pre training slope.[00:25:46] Alessio: And then the post training slope is like the, the human one.[00:25:49] swyx: Yeah. I wonder what the. I mean, we'll know in 10 years, but I wonder what the y axis is for, for Ilya's SSI. We'll try to get them on.[00:25:57] Alessio: Ilya, if you're listening, you're [00:26:00] welcome here. Yeah, and then he had, you know, what comes next, like agent, synthetic data, inference, compute, I thought all of that was like that.[00:26:05] Alessio: I don't[00:26:05] swyx: think he was dropping any alpha there. Yeah, yeah, yeah.[00:26:07] Alessio: Yeah. Any other new reps? Highlights?[00:26:10] swyx: I think that there was comparatively a lot more work. Oh, by the way, I need to plug that, uh, my friend Yi made this, like, little nice paper. Yeah, that was really[00:26:20] swyx: nice.[00:26:20] swyx: Uh, of, uh, of, like, all the, he's, she called it must read papers of 2024.[00:26:26] swyx: So I laid out some of these at NeurIPS, and it was just gone. Like, everyone just picked it up. Because people are dying for, like, little guidance and visualizations And so, uh, I thought it was really super nice that we got there.[00:26:38] Alessio: Should we do a late in space book for each year? Uh, I thought about it. For each year we should.[00:26:42] Alessio: Coffee table book. Yeah. Yeah. Okay. Put it in the will. Hi, Will. By the way, we haven't introduced you. He's our new, you know, general organist, Jamie. You need to[00:26:52] swyx: pull up more things. One thing I saw that, uh, Okay, one fun one, and then one [00:27:00] more general one. So the fun one is this paper on agent collusion. This is a paper on steganography.[00:27:06] swyx: This is secret collusion among AI agents, multi agent deception via steganography. I tried to go to NeurIPS in order to find these kinds of papers because the real reason Like NeurIPS this year has a lottery system. A lot of people actually even go and don't buy tickets because they just go and attend the side events.[00:27:22] swyx: And then also the people who go and end up crowding around the most popular papers, which you already know and already read them before you showed up to NeurIPS. So the only reason you go there is to talk to the paper authors, but there's like something like 10, 000 other. All these papers out there that, you know, are just people's work that they, that they did on the air and they failed to get attention for one reason or another.[00:27:42] swyx: And this was one of them. Uh, it was like all the way at the back. And this is a deep mind paper that actually focuses on collusion between AI agents, uh, by hiding messages in the text that they generate. Uh, so that's what steganography is. So a very simple example would be the first letter of every word.[00:27:57] swyx: If you Pick that out, you know, and the code sends a [00:28:00] different message than that. But something I've always emphasized is to LLMs, we read left to right. LLMs can read up, down, sideways, you know, in random character order. And it's the same to them as it is to us. So if we were ever to get You know, self motivated, underlined LLMs that we're trying to collaborate to take over the planet.[00:28:19] swyx: This would be how they do it. They spread messages among us in the messages that we generate. And he developed a scaling law for that. So he marked, I'm showing it on screen right now, the emergence of this phenomenon. Basically, for example, for Cypher encoding, GPT 2, Lama 2, mixed trial, GPT 3. 5, zero capabilities, and sudden 4.[00:28:40] swyx: And this is the kind of Jason Wei type emergence properties that people kind of look for. I think what made this paper stand out as well, so he developed the benchmark for steganography collusion, and he also focused on shelling point collusion, which is very low coordination. For agreeing on a decoding encoding format, you kind of need to have some [00:29:00] agreement on that.[00:29:00] swyx: But, but shelling point means like very, very low or almost no coordination. So for example, if I, if I ask someone, if the only message I give you is meet me in New York and you're not aware. Or when you would probably meet me at Grand Central Station. That is the Grand Central Station is a shelling point.[00:29:16] swyx: And it's probably somewhere, somewhere during the day. That is the shelling point of New York is Grand Central. To that extent, shelling points for steganography are things like the, the, the common decoding methods that we talked about. It will be interesting at some point in the future when we are worried about alignment.[00:29:30] swyx: It is not interesting today, but it's interesting that DeepMind is already thinking about this.[00:29:36] Alessio: I think that's like one of the hardest things about NeurIPS. It's like the long tail. I[00:29:41] swyx: found a pricing guy. I'm going to feature him on the podcast. Basically, this guy from NVIDIA worked out the optimal pricing for language models.[00:29:51] swyx: It's basically an econometrics paper at NeurIPS, where everyone else is talking about GPUs. And the guy with the GPUs is[00:29:57] Alessio: talking[00:29:57] swyx: about economics instead. [00:30:00] That was the sort of fun one. So the focus I saw is that model papers at NeurIPS are kind of dead. No one really presents models anymore. It's just data sets.[00:30:12] swyx: This is all the grad students are working on. So like there was a data sets track and then I was looking around like, I was like, you don't need a data sets track because every paper is a data sets paper. And so data sets and benchmarks, they're kind of flip sides of the same thing. So Yeah. Cool. Yeah, if you're a grad student, you're a GPU boy, you kind of work on that.[00:30:30] swyx: And then the, the sort of big model that people walk around and pick the ones that they like, and then they use it in their models. And that's, that's kind of how it develops. I, I feel like, um, like, like you didn't last year, you had people like Hao Tian who worked on Lava, which is take Lama and add Vision.[00:30:47] swyx: And then obviously actually I hired him and he added Vision to Grok. Now he's the Vision Grok guy. This year, I don't think there was any of those.[00:30:55] Alessio: What were the most popular, like, orals? Last year it was like the [00:31:00] Mixed Monarch, I think, was like the most attended. Yeah, uh, I need to look it up. Yeah, I mean, if nothing comes to mind, that's also kind of like an answer in a way.[00:31:10] Alessio: But I think last year there was a lot of interest in, like, furthering models and, like, different architectures and all of that.[00:31:16] swyx: I will say that I felt the orals, oral picks this year were not very good. Either that or maybe it's just a So that's the highlight of how I have changed in terms of how I view papers.[00:31:29] swyx: So like, in my estimation, two of the best papers in this year for datasets or data comp and refined web or fine web. These are two actually industrially used papers, not highlighted for a while. I think DCLM got the spotlight, FineWeb didn't even get the spotlight. So like, it's just that the picks were different.[00:31:48] swyx: But one thing that does get a lot of play that a lot of people are debating is the role that's scheduled. This is the schedule free optimizer paper from Meta from Aaron DeFazio. And this [00:32:00] year in the ML community, there's been a lot of chat about shampoo, soap, all the bathroom amenities for optimizing your learning rates.[00:32:08] swyx: And, uh, most people at the big labs are. Who I asked about this, um, say that it's cute, but it's not something that matters. I don't know, but it's something that was discussed and very, very popular. 4Wars[00:32:19] Alessio: of AI recap maybe, just quickly. Um, where do you want to start? Data?[00:32:26] swyx: So to remind people, this is the 4Wars piece that we did as one of our earlier recaps of this year.[00:32:31] swyx: And the belligerents are on the left, journalists, writers, artists, anyone who owns IP basically, New York Times, Stack Overflow, Reddit, Getty, Sarah Silverman, George RR Martin. Yeah, and I think this year we can add Scarlett Johansson to that side of the fence. So anyone suing, open the eye, basically. I actually wanted to get a snapshot of all the lawsuits.[00:32:52] swyx: I'm sure some lawyer can do it. That's the data quality war. On the right hand side, we have the synthetic data people, and I think we talked about Lumna's talk, you know, [00:33:00] really showing how much synthetic data has come along this year. I think there was a bit of a fight between scale. ai and the synthetic data community, because scale.[00:33:09] swyx: ai published a paper saying that synthetic data doesn't work. Surprise, surprise, scale. ai is the leading vendor of non synthetic data. Only[00:33:17] Alessio: cage free annotated data is useful.[00:33:21] swyx: So I think there's some debate going on there, but I don't think it's much debate anymore that at least synthetic data, for the reasons that are blessed in Luna's talk, Makes sense.[00:33:32] swyx: I don't know if you have any perspectives there.[00:33:34] Alessio: I think, again, going back to the reinforcement fine tuning, I think that will change a little bit how people think about it. I think today people mostly use synthetic data, yeah, for distillation and kind of like fine tuning a smaller model from like a larger model.[00:33:46] Alessio: I'm not super aware of how the frontier labs use it outside of like the rephrase, the web thing that Apple also did. But yeah, I think it'll be. Useful. I think like whether or not that gets us the big [00:34:00] next step, I think that's maybe like TBD, you know, I think people love talking about data because it's like a GPU poor, you know, I think, uh, synthetic data is like something that people can do, you know, so they feel more opinionated about it compared to, yeah, the optimizers stuff, which is like,[00:34:17] swyx: they don't[00:34:17] Alessio: really work[00:34:18] swyx: on.[00:34:18] swyx: I think that there is an angle to the reasoning synthetic data. So this year, we covered in the paper club, the star series of papers. So that's star, Q star, V star. It basically helps you to synthesize reasoning steps, or at least distill reasoning steps from a verifier. And if you look at the OpenAI RFT, API that they released, or that they announced, basically they're asking you to submit graders, or they choose from a preset list of graders.[00:34:49] swyx: Basically It feels like a way to create valid synthetic data for them to fine tune their reasoning paths on. Um, so I think that is another angle where it starts to make sense. And [00:35:00] so like, it's very funny that basically all the data quality wars between Let's say the music industry or like the newspaper publishing industry or the textbooks industry on the big labs.[00:35:11] swyx: It's all of the pre training era. And then like the new era, like the reasoning era, like nobody has any problem with all the reasoning, especially because it's all like sort of math and science oriented with, with very reasonable graders. I think the more interesting next step is how does it generalize beyond STEM?[00:35:27] swyx: We've been using O1 for And I would say like for summarization and creative writing and instruction following, I think it's underrated. I started using O1 in our intro songs before we killed the intro songs, but it's very good at writing lyrics. You know, I can actually say like, I think one of the O1 pro demos.[00:35:46] swyx: All of these things that Noam was showing was that, you know, you can write an entire paragraph or three paragraphs without using the letter A, right?[00:35:53] Creative Writing with AI[00:35:53] swyx: So like, like literally just anything instead of token, like not even token level, character level manipulation and [00:36:00] counting and instruction following. It's, uh, it's very, very strong.[00:36:02] swyx: And so no surprises when I ask it to rhyme, uh, and to, to create song lyrics, it's going to do that very much better than in previous models. So I think it's underrated for creative writing.[00:36:11] Alessio: Yeah.[00:36:12] Legal and Ethical Issues in AI[00:36:12] Alessio: What do you think is the rationale that they're going to have in court when they don't show you the thinking traces of O1, but then they want us to, like, they're getting sued for using other publishers data, you know, but then on their end, they're like, well, you shouldn't be using my data to then train your model.[00:36:29] Alessio: So I'm curious to see how that kind of comes. Yeah, I mean, OPA has[00:36:32] swyx: many ways to publish, to punish people without bringing, taking them to court. Already banned ByteDance for distilling their, their info. And so anyone caught distilling the chain of thought will be just disallowed to continue on, on, on the API.[00:36:44] swyx: And it's fine. It's no big deal. Like, I don't even think that's an issue at all, just because the chain of thoughts are pretty well hidden. Like you have to work very, very hard to, to get it to leak. And then even when it leaks the chain of thought, you don't know if it's, if it's [00:37:00] The bigger concern is actually that there's not that much IP hiding behind it, that Cosign, which we talked about, we talked to him on Dev Day, can just fine tune 4.[00:37:13] swyx: 0 to beat 0. 1 Cloud SONET so far is beating O1 on coding tasks without, at least O1 preview, without being a reasoning model, same for Gemini Pro or Gemini 2. 0. So like, how much is reasoning important? How much of a moat is there in this, like, All of these are proprietary sort of training data that they've presumably accomplished.[00:37:34] swyx: Because even DeepSeek was able to do it. And they had, you know, two months notice to do this, to do R1. So, it's actually unclear how much moat there is. Obviously, you know, if you talk to the Strawberry team, they'll be like, yeah, I mean, we spent the last two years doing this. So, we don't know. And it's going to be Interesting because there'll be a lot of noise from people who say they have inference time compute and actually don't because they just have fancy chain of thought.[00:38:00][00:38:00] swyx: And then there's other people who actually do have very good chain of thought. And you will not see them on the same level as OpenAI because OpenAI has invested a lot in building up the mythology of their team. Um, which makes sense. Like the real answer is somewhere in between.[00:38:13] Alessio: Yeah, I think that's kind of like the main data war story developing.[00:38:18] The Data War: GPU Poor vs. GPU Rich[00:38:18] Alessio: GPU poor versus GPU rich. Yeah. Where do you think we are? I think there was, again, going back to like the small model thing, there was like a time in which the GPU poor were kind of like the rebel faction working on like these models that were like open and small and cheap. And I think today people don't really care as much about GPUs anymore.[00:38:37] Alessio: You also see it in the price of the GPUs. Like, you know, that market is kind of like plummeted because there's people don't want to be, they want to be GPU free. They don't even want to be poor. They just want to be, you know, completely without them. Yeah. How do you think about this war? You[00:38:52] swyx: can tell me about this, but like, I feel like the, the appetite for GPU rich startups, like the, you know, the, the funding plan is we will raise 60 million and [00:39:00] we'll give 50 of that to NVIDIA.[00:39:01] swyx: That is gone, right? Like, no one's, no one's pitching that. This was literally the plan, the exact plan of like, I can name like four or five startups, you know, this time last year. So yeah, GPU rich startups gone.[00:39:12] The Rise of GPU Ultra Rich[00:39:12] swyx: But I think like, The GPU ultra rich, the GPU ultra high net worth is still going. So, um, now we're, you know, we had Leopold's essay on the trillion dollar cluster.[00:39:23] swyx: We're not quite there yet. We have multiple labs, um, you know, XAI very famously, you know, Jensen Huang praising them for being. Best boy number one in spinning up 100, 000 GPU cluster in like 12 days or something. So likewise at Meta, likewise at OpenAI, likewise at the other labs as well. So like the GPU ultra rich are going to keep doing that because I think partially it's an article of faith now that you just need it.[00:39:46] swyx: Like you don't even know what it's going to, what you're going to use it for. You just, you just need it. And it makes sense that if, especially if we're going into. More researchy territory than we are. So let's say 2020 to 2023 was [00:40:00] let's scale big models territory because we had GPT 3 in 2020 and we were like, okay, we'll go from 1.[00:40:05] swyx: 75b to 1. 8b, 1. 8t. And that was GPT 3 to GPT 4. Okay, that's done. As far as everyone is concerned, Opus 3. 5 is not coming out, GPT 4. 5 is not coming out, and Gemini 2, we don't have Pro, whatever. We've hit that wall. Maybe I'll call it the 2 trillion perimeter wall. We're not going to 10 trillion. No one thinks it's a good idea, at least from training costs, from the amount of data, or at least the inference.[00:40:36] swyx: Would you pay 10x the price of GPT Probably not. Like, like you want something else that, that is at least more useful. So it makes sense that people are pivoting in terms of their inference paradigm.[00:40:47] Emerging Trends in AI Models[00:40:47] swyx: And so when it's more researchy, then you actually need more just general purpose compute to mess around with, uh, at the exact same time that production deployments of the old, the previous paradigm is still ramping up,[00:40:58] swyx: um,[00:40:58] swyx: uh, pretty aggressively.[00:40:59] swyx: So [00:41:00] it makes sense that the GPU rich are growing. We have now interviewed both together and fireworks and replicates. Uh, we haven't done any scale yet. But I think Amazon, maybe kind of a sleeper one, Amazon, in a sense of like they, at reInvent, I wasn't expecting them to do so well, but they are now a foundation model lab.[00:41:18] swyx: It's kind of interesting. Um, I think, uh, you know, David went over there and started just creating models.[00:41:25] Alessio: Yeah, I mean, that's the power of prepaid contracts. I think like a lot of AWS customers, you know, they do this big reserve instance contracts and now they got to use their money. That's why so many startups.[00:41:37] Alessio: Get bought through the AWS marketplace so they can kind of bundle them together and prefer pricing.[00:41:42] swyx: Okay, so maybe GPU super rich doing very well, GPU middle class dead, and then GPU[00:41:48] Alessio: poor. I mean, my thing is like, everybody should just be GPU rich. There shouldn't really be, even the GPU poorest, it's like, does it really make sense to be GPU poor?[00:41:57] Alessio: Like, if you're GPU poor, you should just use the [00:42:00] cloud. Yes, you know, and I think there might be a future once we kind of like figure out what the size and shape of these models is where like the tiny box and these things come to fruition where like you can be GPU poor at home. But I think today is like, why are you working so hard to like get these models to run on like very small clusters where it's like, It's so cheap to run them.[00:42:21] Alessio: Yeah, yeah,[00:42:22] swyx: yeah. I think mostly people think it's cool. People think it's a stepping stone to scaling up. So they aspire to be GPU rich one day and they're working on new methods. Like news research, like probably the most deep tech thing they've done this year is Distro or whatever the new name is.[00:42:38] swyx: There's a lot of interest in heterogeneous computing, distributed computing. I tend generally to de emphasize that historically, but it may be coming to a time where it is starting to be relevant. I don't know. You know, SF compute launched their compute marketplace this year, and like, who's really using that?[00:42:53] swyx: Like, it's a bunch of small clusters, disparate types of compute, and if you can make that [00:43:00] useful, then that will be very beneficial to the broader community, but maybe still not the source of frontier models. It's just going to be a second tier of compute that is unlocked for people, and that's fine. But yeah, I mean, I think this year, I would say a lot more on device, We are, I now have Apple intelligence on my phone.[00:43:19] swyx: Doesn't do anything apart from summarize my notifications. But still, not bad. Like, it's multi modal.[00:43:25] Alessio: Yeah, the notification summaries are so and so in my experience.[00:43:29] swyx: Yeah, but they add, they add juice to life. And then, um, Chrome Nano, uh, Gemini Nano is coming out in Chrome. Uh, they're still feature flagged, but you can, you can try it now if you, if you use the, uh, the alpha.[00:43:40] swyx: And so, like, I, I think, like, you know, We're getting the sort of GPU poor version of a lot of these things coming out, and I think it's like quite useful. Like Windows as well, rolling out RWKB in sort of every Windows department is super cool. And I think the last thing that I never put in this GPU poor war, that I think I should now, [00:44:00] is the number of startups that are GPU poor but still scaling very well, as sort of wrappers on top of either a foundation model lab, or GPU Cloud.[00:44:10] swyx: GPU Cloud, it would be Suno. Suno, Ramp has rated as one of the top ranked, fastest growing startups of the year. Um, I think the last public number is like zero to 20 million this year in ARR and Suno runs on Moto. So Suno itself is not GPU rich, but they're just doing the training on, on Moto, uh, who we've also talked to on, on the podcast.[00:44:31] swyx: The other one would be Bolt, straight cloud wrapper. And, and, um, Again, another, now they've announced 20 million ARR, which is another step up from our 8 million that we put on the title. So yeah, I mean, it's crazy that all these GPU pores are finding a way while the GPU riches are also finding a way. And then the only failures, I kind of call this the GPU smiling curve, where the edges do well, because you're either close to the machines, and you're like [00:45:00] number one on the machines, or you're like close to the customers, and you're number one on the customer side.[00:45:03] swyx: And the people who are in the middle. Inflection, um, character, didn't do that great. I think character did the best of all of them. Like, you have a note in here that we apparently said that character's price tag was[00:45:15] Alessio: 1B.[00:45:15] swyx: Did I say that?[00:45:16] Alessio: Yeah. You said Google should just buy them for 1B. I thought it was a crazy number.[00:45:20] Alessio: Then they paid 2. 7 billion. I mean, for like,[00:45:22] swyx: yeah.[00:45:22] Alessio: What do you pay for node? Like, I don't know what the game world was like. Maybe the starting price was 1B. I mean, whatever it was, it worked out for everybody involved.[00:45:31] The Multi-Modality War[00:45:31] Alessio: Multimodality war. And this one, we never had text to video in the first version, which now is the hottest.[00:45:37] swyx: Yeah, I would say it's a subset of image, but yes.[00:45:40] Alessio: Yeah, well, but I think at the time it wasn't really something people were doing, and now we had VO2 just came out yesterday. Uh, Sora was released last month, last week. I've not tried Sora, because the day that I tried, it wasn't, yeah. I[00:45:54] swyx: think it's generally available now, you can go to Sora.[00:45:56] swyx: com and try it. Yeah, they had[00:45:58] Alessio: the outage. Which I [00:46:00] think also played a part into it. Small things. Yeah. What's the other model that you posted today that was on Replicate? Video or OneLive?[00:46:08] swyx: Yeah. Very, very nondescript name, but it is from Minimax, which I think is a Chinese lab. The Chinese labs do surprisingly well at the video models.[00:46:20] swyx: I'm not sure it's actually Chinese. I don't know. Hold me up to that. Yep. China. It's good. Yeah, the Chinese love video. What can I say? They have a lot of training data for video. Or a more relaxed regulatory environment.[00:46:37] Alessio: Uh, well, sure, in some way. Yeah, I don't think there's much else there. I think like, you know, on the image side, I think it's still open.[00:46:45] Alessio: Yeah, I mean,[00:46:46] swyx: 11labs is now a unicorn. So basically, what is multi modality war? Multi modality war is, do you specialize in a single modality, right? Or do you have GodModel that does all the modalities? So this is [00:47:00] definitely still going, in a sense of 11 labs, you know, now Unicorn, PicoLabs doing well, they launched Pico 2.[00:47:06] swyx: 0 recently, HeyGen, I think has reached 100 million ARR, Assembly, I don't know, but they have billboards all over the place, so I assume they're doing very, very well. So these are all specialist models, specialist models and specialist startups. And then there's the big labs who are doing the sort of all in one play.[00:47:24] swyx: And then here I would highlight Gemini 2 for having native image output. Have you seen the demos? Um, yeah, it's, it's hard to keep up. Literally they launched this last week and a shout out to Paige Bailey, who came to the Latent Space event to demo on the day of launch. And she wasn't prepared. She was just like, I'm just going to show you.[00:47:43] swyx: So they have voice. They have, you know, obviously image input, and then they obviously can code gen and all that. But the new one that OpenAI and Meta both have but they haven't launched yet is image output. So you can literally, um, I think their demo video was that you put in an image of a [00:48:00] car, and you ask for minor modifications to that car.[00:48:02] swyx: They can generate you that modification exactly as you asked. So there's no need for the stable diffusion or comfy UI workflow of like mask here and then like infill there in paint there and all that, all that stuff. This is small model nonsense. Big model people are like, huh, we got you in as everything in the transformer.[00:48:21] swyx: This is the multimodality war, which is, do you, do you bet on the God model or do you string together a whole bunch of, uh, Small models like a, like a chump. Yeah,[00:48:29] Alessio: I don't know, man. Yeah, that would be interesting. I mean, obviously I use Midjourney for all of our thumbnails. Um, they've been doing a ton on the product, I would say.[00:48:38] Alessio: They launched a new Midjourney editor thing. They've been doing a ton. Because I think, yeah, the motto is kind of like, Maybe, you know, people say black forest, the black forest models are better than mid journey on a pixel by pixel basis. But I think when you put it, put it together, have you tried[00:48:53] swyx: the same problems on black forest?[00:48:55] Alessio: Yes. But the problem is just like, you know, on black forest, it generates one image. And then it's like, you got to [00:49:00] regenerate. You don't have all these like UI things. Like what I do, no, but it's like time issue, you know, it's like a mid[00:49:06] swyx: journey. Call the API four times.[00:49:08] Alessio: No, but then there's no like variate.[00:49:10] Alessio: Like the good thing about mid journey is like, you just go in there and you're cooking. There's a lot of stuff that just makes it really easy. And I think people underestimate that. Like, it's not really a skill issue, because I'm paying mid journey, so it's a Black Forest skill issue, because I'm not paying them, you know?[00:49:24] Alessio: Yeah,[00:49:25] swyx: so, okay, so, uh, this is a UX thing, right? Like, you, you, you understand that, at least, we think that Black Forest should be able to do all that stuff. I will also shout out, ReCraft has come out, uh, on top of the image arena that, uh, artificial analysis has done, has apparently, uh, Flux's place. Is this still true?[00:49:41] swyx: So, Artificial Analysis is now a company. I highlighted them I think in one of the early AI Newses of the year. And they have launched a whole bunch of arenas. So, they're trying to take on LM Arena, Anastasios and crew. And they have an image arena. Oh yeah, Recraft v3 is now beating Flux 1. 1. Which is very surprising [00:50:00] because Flux And Black Forest Labs are the old stable diffusion crew who left stability after, um, the management issues.[00:50:06] swyx: So Recurve has come from nowhere to be the top image model. Uh, very, very strange. I would also highlight that Grok has now launched Aurora, which is, it's very interesting dynamics between Grok and Black Forest Labs because Grok's images were originally launched, uh, in partnership with Black Forest Labs as a, as a thin wrapper.[00:50:24] swyx: And then Grok was like, no, we'll make our own. And so they've made their own. I don't know, there are no APIs or benchmarks about it. They just announced it. So yeah, that's the multi modality war. I would say that so far, the small model, the dedicated model people are winning, because they are just focused on their tasks.[00:50:42] swyx: But the big model, People are always catching up. And the moment I saw the Gemini 2 demo of image editing, where I can put in an image and just request it and it does, that's how AI should work. Not like a whole bunch of complicated steps. So it really is something. And I think one frontier that we haven't [00:51:00] seen this year, like obviously video has done very well, and it will continue to grow.[00:51:03] swyx: You know, we only have Sora Turbo today, but at some point we'll get full Sora. Oh, at least the Hollywood Labs will get Fulsora. We haven't seen video to audio, or video synced to audio. And so the researchers that I talked to are already starting to talk about that as the next frontier. But there's still maybe like five more years of video left to actually be Soda.[00:51:23] swyx: I would say that Gemini's approach Compared to OpenAI, Gemini seems, or DeepMind's approach to video seems a lot more fully fledged than OpenAI. Because if you look at the ICML recap that I published that so far nobody has listened to, um, that people have listened to it. It's just a different, definitely different audience.[00:51:43] swyx: It's only seven hours long. Why are people not listening? It's like everything in Uh, so, so DeepMind has, is working on Genie. They also launched Genie 2 and VideoPoet. So, like, they have maybe four years advantage on world modeling that OpenAI does not have. Because OpenAI basically only started [00:52:00] Diffusion Transformers last year, you know, when they hired, uh, Bill Peebles.[00:52:03] swyx: So, DeepMind has, has a bit of advantage here, I would say, in, in, in showing, like, the reason that VO2, while one, They cherry pick their videos. So obviously it looks better than Sora, but the reason I would believe that VO2, uh, when it's fully launched will do very well is because they have all this background work in video that they've done for years.[00:52:22] swyx: Like, like last year's NeurIPS, I already was interviewing some of their video people. I forget their model name, but for, for people who are dedicated fans, they can go to NeurIPS 2023 and see, see that paper.[00:52:32] Alessio: And then last but not least, the LLMOS. We renamed it to Ragops, formerly known as[00:52:39] swyx: Ragops War. I put the latest chart on the Braintrust episode.[00:52:43] swyx: I think I'm going to separate these essays from the episode notes. So the reason I used to do that, by the way, is because I wanted to show up on Hacker News. I wanted the podcast to show up on Hacker News. So I always put an essay inside of there because Hacker News people like to read and not listen.[00:52:58] Alessio: So episode essays,[00:52:59] swyx: I remember [00:53:00] purchasing them separately. You say Lanchain Llama Index is still growing.[00:53:03] Alessio: Yeah, so I looked at the PyPy stats, you know. I don't care about stars. On PyPy you see Do you want to share your screen? Yes. I prefer to look at actual downloads, not at stars on GitHub. So if you look at, you know, Lanchain still growing.[00:53:20] Alessio: These are the last six months. Llama Index still growing. What I've basically seen is like things that, One, obviously these things have A commercial product. So there's like people buying this and sticking with it versus kind of hopping in between things versus, you know, for example, crew AI, not really growing as much.[00:53:38] Alessio: The stars are growing. If you look on GitHub, like the stars are growing, but kind of like the usage is kind of like flat. In the last six months, have they done some[00:53:4

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Bree & Clint's After Party - 18th December 2024

Play Episode Listen Later Dec 18, 2024 9:00

Claud's got a theory about your handwriting showing heaps of your personality, so we've put it to the test. See omnystudio.com/listener for privacy information.

Nick Tamburo (Smithereens, NYC) on Band-Kitchen Parallels, European vs. US Training, and the Quantum Leap from Chef to Chef-Owner

Andrew Talks to Chefs

Play Episode Listen Later Dec 14, 2024 59:00

Following a college-age shift from music to cooking, Nick Tamburo trained in some notable kitchens in the US and Europe, and served in chef positions within the Momofuku group and Claud. In late August, he launched his first restaurant of his own, Smithereens, in downtown Manhattan. The restaurant serves Nick's take on coastal New England cuisine and we're delighted to have him on the pod for the first time to talk about all of that and more.Huge thanks to Andrew Talks to Chefs' presenting sponsor, meez, the recipe operating software for culinary professionals. Meez powers the Andrew Talks to Chefs podcast as part of the meez Network, featuring a breadth of food and beverage podcasts and newsletters. This episode is part of the Andrew Talks to Chefs New Episode Holiday Marathon, brought to you by The Dish, Andrew's most recent book, which just became available in paperback, with a cool new black-and-white cover. Be sure to check it out, and subscribe to the pod wherever you listen so you can keep up with the Marathon and all forthcoming episodes. * episode photo by Phoebe Ng THINGS YOU SHOULD KNOW:Andrew is a writer by trade. If you'd like to support him, there's no better way than by purchasing his most recent book, The Dish: The Lives and Labor Behind One Plate of Food (October 2023), about all the key people (in the restaurant, on farms, in delivery trucks, etc.) whose stories and work come together in a single restaurant dish.We'd love if you followed us on Instagram. Please also follow Andrew's real-time journal of the travel, research, writing, and production of/for his next book The Opening (working title), which will track four restaurants in different parts of the U.S. from inception to launch.For Andrew's writing, dining, and personal adventures, follow along at his personal feed.Thank you for listening—please don't hesitate to reach out with any feedback and/or suggestions!

Patrick & Claud Cockburn: A Legacy of Guerilla Journalism Against Media Complacency

Play Episode Listen Later Nov 20, 2024 28:41

Discover how Claude Cockburn's guerrilla journalism foresaw the rise of fascism in the 1930s and challenged mainstream media narratives.This show is made possible by you! To become a sustaining member go to https://LauraFlanders.org/donate Thank you for your continued support!Description: Mainstream media has a lot to account for in 2024, but go back 90 years, and prestigious publications have often failed to see when things were so clearly wrong. In 1930s Germany, many journalists downplayed Adolf Hitler's ascension to power, with the New York Times writing “There is no warrant for immediate alarm…The more violent parts of his alleged program he has himself in recent months been softening down or abandoning.” But one young British journalist who, seeing what was happening, quit his job with The London Times and founded The Week, a newsletter that became famous for its opposition to fascism and the Western powers that were enabling it. His name was Claud Cockburn, and he's the subject of a newly-released biography by his son, Patrick Cockburn, “Believe Nothing Until It Is Officially Denied: Claud Cockburn and the Invention of Guerrilla Journalism,” out now via Verso Books. Patrick is an award-winning journalist himself, with a long expertise in the Middle East. And Patrick is Laura Flanders' uncle; Claud is her grandfather. How did mainstream media miss what Claud knew about the rise of Nazis, and how did his guerilla journalism make an impact? And why is Claud's story so relevant now? All that, plus a commentary from Laura.Guest: Patrick Cockburn, Journalist, and author including “Believe Nothing Until It Is Officially Denied: Claud Cockburn and the Invention of Guerrilla Journalism”, Verso Books.Watch the broadcast episode cut for time at our YouTube channel and airing on PBS stations across the country Related Laura Flanders Show Episodes:• Stephanie Flanders on A Trump Economy & What to Watch in The Ultimate Election Year, Watch / Podcast: Abridged, Uncut Conversation• Arundhati Roy: Freedom, Fascism, Fiction and the Pandemic Portal, Watch/ Podcast: Abridged, Uncut Conversation• Laura's Commentary, F-Word: Bodies, Borders, Resistance, Rebirth: Arundhati Roy, Podcast• Patrick Cockburn on Syria, Watch Related Articles and Resources:• Opinion: Is Trump a fascist? Probably - but not like those of the 30s, by Patrick Cockburn, November 9 2024, iNews• Opinion: Netanyahu knows the US can't restrain him now, by Patrick Cockburn, October 2, 2024, iNews• Most political disasters are overstated - not this one, by Patrick Cockburn, November 6, 2024, iNews Full Episode Notes are located HERE. They include related episodes, articles, and more. Laura Flanders and Friends Crew: Laura Flanders, along with Sabrina Artel, Jeremiah Cothren, Veronica Delgado, Erika Harley, Janet Hernandez, Jeannie Hopper, Sarah Miller, Nat Needham, David Neuman, and Rory O'Conner. FOLLOW Laura Flanders and FriendsInstagram: https://www.instagram.com/lauraflandersandfriends/Twitter: https://twitter.com/LFAndFriendsFacebook: https://www.facebook.com/LauraFlandersAndFriends/Tiktok: https://www.tiktok.com/@lauraflandersandfriendsYouTube: https://www.youtube.com/channel/UCFLRxVeYcB1H7DbuYZQG-lgLinkedin: https://www.linkedin.com/company/lauraflandersandfriendsPatreon: https://www.patreon.com/lauraflandersandfriendsACCESSIBILITY - The broadcast edition of this episode is available with closed captioned by clicking here for our YouTube Channel

Full Conversation- Patrick & Claud Cockburn: A Legacy of Guerilla Journalism Against Media Complacency [claud-cockburn-guerilla-journalism-nazi-rise]

Play Episode Listen Later Nov 15, 2024 62:43

Description: Mainstream media has a lot to account for in 2024, but go back 90 years, and prestigious publications have often failed to see when things were so clearly wrong. In 1930s Germany, many journalists downplayed Adolf Hitler's ascension to power, with the New York Times writing “There is no warrant for immediate alarm…The more violent parts of his alleged program he has himself in recent months been softening down or abandoning.” But one young British journalist who, seeing what was happening, quit his job with The London Times and founded The Week, a newsletter that became famous for its opposition to fascism and the Western powers that were enabling it. His name was Claud Cockburn, and he's the subject of a newly-released biography by his son, Patrick Cockburn, “Believe Nothing Until It Is Officially Denied: Claud Cockburn and the Invention of Guerrilla Journalism,” out now via Verso Books. Patrick is an award-winning journalist himself, with a long expertise in the Middle East. And Patrick is Laura Flanders' uncle; Claud is her grandfather. How did mainstream media miss what Claud knew about the rise of Nazis, and how did his guerilla journalism make an impact? And why is Claud's story so relevant now? All that, plus a commentary from Laura.Guest: Patrick Cockburn, Journalist, and author including “Believe Nothing Until It Is Officially Denied: Claud Cockburn and the Invention of Guerrilla Journalism”, Verso Books. Watch the broadcast episode cut for time at our YouTube channel and airing on PBS stations across the country Note- Full Conversation Release: While our weekly shows are edited to time for broadcast on Public TV and community radio, we offer to our members and podcast subscribers the full uncut conversation. The following is from our episode "Patrick & Claud Cockburn: A Legacy of Guerilla Journalism Against Media Complacency." These audio exclusives are made possible thanks to our member supporters. Become a supporting member at https://LauraFlanders.org/Donate Related Laura Flanders Show Episodes:• Stephanie Flanders on A Trump Economy & What to Watch in The Ultimate Election Year, Watch / Podcast: Abridged, Uncut Conversation• Arundhati Roy: Freedom, Fascism, Fiction and the Pandemic Portal, Watch/ Podcast: Abridged, Uncut Conversation• Laura's Commentary, F-Word: Bodies, Borders, Resistance, Rebirth: Arundhati Roy, Podcast• Patrick Cockburn on Syria, Watch Related Articles and Resources:• Opinion: Is Trump a fascist? Probably - but not like those of the 30s, by Patrick Cockburn, November 9 2024, iNews• Opinion: Netanyahu knows the US can't restrain him now, by Patrick Cockburn, October 2, 2024, iNews• Most political disasters are overstated - not this one, by Patrick Cockburn, November 6, 2024, iNews Full Episode Notes are located HERE. They include related episodes, articles, and more. Laura Flanders and Friends Crew: Laura Flanders, along with Sabrina Artel, Jeremiah Cothren, Veronica Delgado, Erika Harley, Janet Hernandez, Jeannie Hopper, Sarah Miller, Nat Needham, David Neuman, and Rory O'Conner. FOLLOW Laura Flanders and FriendsInstagram: https://www.instagram.com/lauraflandersandfriends/Twitter: https://twitter.com/LFAndFriendsFacebook: https://www.facebook.com/LauraFlandersAndFriends/Tiktok: https://www.tiktok.com/@lauraflandersandfriendsYouTube: https://www.youtube.com/channel/UCFLRxVeYcB1H7DbuYZQG-lgLinkedin: https://www.linkedin.com/company/lauraflandersandfriendsPatreon: https://www.patreon.com/lauraflandersandfriendsACCESSIBILITY - The broadcast edition of this episode is available with closed captioned by clicking here for our YouTube Channel

Bree & Clint's After Party - 24th October 2024

Play Episode Listen Later Oct 24, 2024 7:33 Transcription Available

Welcome to the Newlywed Game: Producers edition! Out of Bree and Clint who knows producers Ella and Claud the best? See omnystudio.com/listener for privacy information.

Noticias Locales 21 de Octubre, 2024

KZYX News

Play Episode Listen Later Oct 21, 2024 12:57

21 de Octubre, 2024 — En el programa de hoy tenemos una conversación con Claudía Villacorta de la Junta Regional de Control de Calidad del Agua de la Costa Norte con quién hablamos le la Orden sobre Viñedos y la calidad del agua, las nuevas normas en los condados de Mendocino y Sonoma y su impacto en los viñedos, los trabajadores y las personas que viven cerca a los viñedos.

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AI-Enhanced Persecution? / China's Terracotta Army (and the Emperor's Booby-Trapped Tomb) / Chatting w Dr. Claud re: Xi'an (Shaanxi) [China Compass]

FLF, LLC

Play Episode Listen Later Oct 19, 2024 64:04

Welcome to China Compass! I'm your China travel guide, Missionary Ben. You can follow me on X (@chinaadventures) where I post daily reminders to pray for China (PrayforChina.us). You can also email me with any questions or comments @ bfwesten at gmail dot com. B.F. Westen is my pen name, for security reasons. If you want to see the missionary books I’ve published and learn more about our work, you can find easy links to everything @ PrayGiveGo.us! China, Iran, NK using AI to Track Christians https://www.christianpost.com/news/china-iran-using-ai-to-track-and-repress-christians.html China Scared To Open Booby-Trapped Tomb of Former Emperor https://www.indy100.com/science-tech/chinas-first-emperor-tomb-booby-traps-2669408072 Shaanxi is our PFC province this week, and it is matched up with the state of Kansas. Shaanxi https://en.wikipedia.org/wiki/Shaanxi https://www.asiaharvest.org/china-resources/shaanxi Personal Experiences in Shaanxi… Read more about my arrest, interrogation, and deportation in my little book, Unbeaten, which can be found on Amazon or by visiting Unbeaten dot vip (Unbeaten.vip) Chatting w Dr. Claud The remainder of this week’s podcast is a conversation I had the other day with my good friend, Dr. “Claud”, who among other things, describes what it was like to live in Shaanxi for the better part of a year back in 2004 and 2005, ministering primarily to the deaf community there. Claud and I reference this book/project near the end of our conversation… Operation China https://www.asiaharvest.org/operation-profiles#operation-list Don’t forget: The Memoirs of William Milne (200th Anniversary Edition!) is now live on Amazon: https://www.amazon.com/Memoirs-William-Milne-Missionary-1785-1822-ebook/dp/B0DJ1Q4HNR/

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AI-Enhanced Persecution? / China's Terracotta Army (and the Emperor's Booby-Trapped Tomb) / Chatting w Dr. Claud re: Xi'an (Shaanxi) [China Compass]

Fight Laugh Feast USA

Play Episode Listen Later Oct 19, 2024 64:04

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Why they won't pay us reparations - Dr Claud Anderson's perspective

The Dr Boyce Breakdown

Play Episode Listen Later Sep 30, 2024 59:32

Why they won't pay us reparations - Dr Claud Anderson's perspective

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Claud at Cottey College

Lunch With Doug

Play Episode Listen Later Sep 24, 2024 9:35

Indie music artist Claud at Cottey College.

college indie claud

Bree & Clint's After Party - 5th September 2024

Real Black Consciousnesses Forum

Play Episode Listen Later Sep 5, 2024 10:06

It's like a slumber party in here! Bree, Brooke, Ella and Claud are chatting about all the old TV shows we used to love and assigning each other cartoon characters. See omnystudio.com/listener for privacy information.

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Dr. Claud Anderson On Inappropriate Behavior - A Road Block To Empowerment!

Play Episode Listen Later Sep 4, 2024 119:01

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Namibië het 'n 'groot man verloor': Claud Bosch

Nuus

Play Episode Listen Later Aug 15, 2024 0:35

Huldeblyke stroom in vir die bekende argitek Claud Bosch, wat in Kaapstad aan kanker oorlede is. Hy was 62 en het op sy verjaardag gesterf. Kosmos 94.1 Nuus het gepraat met ‘n boesemvriend van Bosch, Willem de Wet.

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#519 Our Process Toward Singing the Psalms! With Andy Claud

The Shepherd's Crook

Play Episode Listen Later Aug 8, 2024 48:41

Thanks for listening! Sponsor Reformation Heritage Books Coupon Code “shepherds” for 10% off!

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"Doug Schadt"

Producer Points

Play Episode Listen Later Aug 7, 2024 72:11

Join host Justin Gammella on this exciting episode of Producer Points as we dive into the creative universe of Doug Schadt, the Brooklyn-based producer, songwriter, and mixer who's shaping the sound of today's pop and indie music. Doug's magic touch has brought life to tracks by artists like Maggie Rogers, Ashe, Maddie Zahm, Claud, and Claire Rosinkranz, establishing him as a powerhouse in the industry. From crafting hit soundscapes to sharing some of the most mind-blowing stories, Doug is more than just a producer—he's a storyteller. In this episode, we chat about his journey from his early influences to becoming a sought-after name in music. Discover what a typical day looks like for Doug as he balances creativity with the hustle and bustle of the music biz. We also get into some juicy stories about his favorite local hangouts and how food plays a role in his creative process. Dive deep into the making of iconic tracks like “Alaska” by Maggie Rogers and “Shitty Places” by Ashe. Doug reveals the secrets behind their production, from unique sound choices to technical wizardry. We also geek out over his favorite gear and plugins, and in our "Plug or Unplug" segment, Doug gives rapid-fire takes on studio essentials, sharing his expert insights with up-and-coming producers. Whether you're a seasoned pro or just starting out, this episode is packed with inspiration, laughs, and the kind of insider knowledge you won't find anywhere else. Tune in on all major podcast platforms to catch the full conversation with Doug Schadt. Be sure to check out the official Producer Points playlist, featuring all the songs discussed in our episodes. Listen here. --- Support this podcast: https://podcasters.spotify.com/pod/show/producerpoints/support

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Get the F#$k on With It with piano man, Jim Wilson

Learn From People Who Lived it

Play Episode Listen Later Aug 5, 2024 61:56

Get the F#$k on With It with Jim Wilson. Jim was born in Greenville, South Carolina, and found his love of music at age 7. He came from a broken home, which affected his outlook on love for the rest of his life. He fell between the cracks in his family and was left without a bedroom, requiring him to learn the skills of self-determinism and overcoming seemingly impossible tasks at a young age. Fast forward a little, and Jim decided to learn to tune pianos to support himself while he moved to LA to pursue music. He ended up being a great piano tuner and kept putting his own music aspirations on hold. In 1997, Jim lost his best friend, Claud, at 37 to an unexpected heart attack. Claud had big dreams and so much life in front of him that was now gone forever. This realization made Jim understand that there is not a limitless reservoir of tomorrows, and he had to pursue his dreams now no matter the outcome. With the love and support of his musical heroes—most significantly his friend and mentor Dan Fogelberg—Jim set out on a solo career of composing, recording, and performing his signature style of piano-featured instrumentals. In this episode, Mathew, Dr. Dave, and Jim discuss the importance of building relationships, how we can create “pinch me” moments in our everyday lives by being present, and the magic of the flow state. However, as we all know, things don't always go as planned. Jim finishes off by giving us his tips on how he overcomes challenges by zooming out, refocusing, and continuing on. “There's not a limitless reservoir of tomorrows. Get the f#$k on with it.” In this episode, you'll hear: Why does it often take such dramatic circumstances to inspire change? What it's like to meet a Beatle: Tuning for Paul McCartney How can we create “pinch me” moments in our everyday lives? How to get back on track when things don't go right Follow the podcast: Listen on Apple Podcasts (link: https://apple.co/3s1YH7h) Listen on iHeart (link: https://ihr.fm/3MEY7FM) Listen on Spotify (Link: https://spoti.fi/3yMmQCE) Resources: Dr. David Leicken, MD JimWilsonMusic.com Davey Johnstone Dan Fogelberg Henry Winkler on SmartLess Friends of Fogelberg "A Place In My Heart" by Jim Wilson Tuned In—Memoirs of a Piano Man: Behind the Scenes with Music Legends and Finding the Artist Within by Jim Wilson Shawn Colvin - Cry Like An Angel Connect with Mathew Blades: Twitter - twitter.com/MathewBlades Instagram - instagram.com/MathewBladesmedia/ Facebook - facebook.com/

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Bree & Clint's After Party - 29th July 2024

Play Episode Listen Later Jul 29, 2024 7:44

The old team's back together! Claud's been on holiday but has brought home tales of corn and beer. And Bree is about to head out on an international escapade herself! See omnystudio.com/listener for privacy information.

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VIRAL | Stop Calling Black Americans "African-American" Dr Claud Anderson Book Club Part 5

VIRAL Debates

Play Episode Listen Later Jul 3, 2024 17:26

Support our channel by subscribing to / viraldebates https://cash.app/$VIRALDebates While conversations can be challenging, none are meant to be offensive. Please allow us to clarify if you were offended. Follow us on Instagram / viraldebates Follow us on TikTok / viraldebates.show Follow our host @qadirahx https://www.instagram.com/qadirahx/?h... Executive Producer : Qadirah Abdur-Rahman Creator: Qadirah Abdur-Rahman Writer/ Editor: Qadirah Abdur-Rahman Led by Qadirah Abdur-Rahman @viraldebates, VIRAL Debates is an innovative discussion style program, where articulate speakers will examine a range of uncomfortable topics and relate its role in Black advancement. The show is focused on the advancement of Black Americans, also known as Freedman, also known as the descendants of those enslaved within the United States. If you are interested in joining the show, please email us viraltvnyc@gmail.com

Bree & Clint's After Party - 30th May 2024

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Play Episode Listen Later May 30, 2024 6:44

We're one day out from the 3 Girls: 1 Race 100m sprint between Bree, Claud and Ella, and everyone is feeling the pressure. We had an expert on to give us the odds of winning, we're stretching between songs, and by this time tomorrow we'll have a winner! See omnystudio.com/listener for privacy information.

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Why Do Men Move MAD? Talking to MEN about Building Healthy Marriages, Character & Friendships

To My Sisters

Play Episode Listen Later May 29, 2024 64:38

The time has come for us to sit down with some brothers and discuss dating, marriage, character development and ultimately explore the gender wars! In today's episode we sit down with two friends and great men in our lives; Claud & Kenny, to discuss how can men and women come to a place of understanding and friendship to build community and healthy platonic and romantic relationships.

Bree & Clint's After Party - 27th May 2024

Play Episode Listen Later May 27, 2024 8:06

A lovely listener has set a challenge for Bree, Claud, and Ella - a 100m sprint to see who would come out on top. So far the bets are on none of us but we have a few days to change that! See omnystudio.com/listener for privacy information.

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Mae Martin (Live From Netflix Is a Joke Fest) + John Mulaney's ‘Everybody's in LA'

The Last Laugh

Play Episode Listen Later May 15, 2024 60:56

Live from Netflix Is a Joke Fest in Los Angeles this past week, comedian Mae Martin returns to the podcast to share stories about making out with ‘Ted Lasso's' Brett Goldstein on stage, making Jon Stewart laugh on ‘John Mulaney Presents: ‘Everybody's in LA' and the exhilarating feeling when a new stand-up bit that kills for the first time. Martin also looks back on the surreal experience of watching their autobiographical show ‘Feel Good' take off on Netflix at the very start of the pandemic and teases their new narrative series for which they are strongly considering becoming a brunette. And make sure to stick around until the end of the show to hear a very special acoustic performance by Claud. Plus, ‘John Mulaney Presents: ‘Everybody's in LA' wildly exceeded our expectations, leading Matt and Allegra to wonder whether we deserve more or should just be happy with the perfect six episodes that streamed during the festival.Follow Mae Martin on Instagram @hooraymaeFollow Claud on Instagram @claud.mp3Follow Matt Wilstein on Threads @mattwilsteinFollow The Last Laugh on Instagram @lastlaughpod and Threads @lastlaughpodHighlights from this episode and others at The Daily Beast Hosted on Acast. See acast.com/privacy for more information.

Bree & Clint's After Party - 8th May 2024

Play Episode Listen Later May 8, 2024 7:17

So apparently Ella was trying to prank Claud throughout today by being mean to Bree and Clint?? Did it go well? You'll have to listen to find out. See omnystudio.com/listener for privacy information.

Bree & Clint's After Party - 19th April 2024

Play Episode Listen Later Apr 19, 2024 8:32

Taylor Swift just announced a DOUBLE album so Ella is reeling, Bree is taking up pickleball, Clint is planning his holidays, and Claud zoned out half way through. See omnystudio.com/listener for privacy information.

taylor swift clint claud

Bree & Clint's After Party - 9th April 2024