Podcasts about Distro

Alex talks about raising a preseed round for Distro & some takeaways from the process thus far. — Thanks to our presenting sponsor, Gusto. Head to www.gusto.com/alex — Check Out Alex's Stuff: • storyarb - https://www.storyarb.com/ • growthpair - https://www.growthpair.com/ • distro - https://youdistro.com/  • X - https://x.com/businessbarista • Linkedin - https://www.linkedin.com/in/alex-lieberman/ Learn more about your ad choices. Visit megaphone.fm/adchoices

Erstelle deine eigene Distro für eingebettete Systeme.

Recentemente, fomos pegos de surpresa com a notícia de que o principal criador do ArcoLinux decidiu encerrar o desenvolvimento dessa distribuição. Criado em 2018, o ArcoLinux, uma distribuição baseada no Arch Linux e que tinha uma proposta com foco educacional.  Ao longo de sua existência, ela conquistou um público fiel, graças a sua versatilidade e ferramentas para facilitar a vida do usuário. Mas o fim de grandes projetos não afeta apenas distribuições Linux, vale lembrar também de outra plataforma que foi muito querida e que deixou um legado bem interessante de aprendizados e tecnologia para todos nós: o Orkut. O Orkut foi uma rede social criada por um engenheiro do Google chamado Orkut Büyükkökten, lançada em janeiro de 2004, ela rapidamente ficou muito popular no Brasil e na Índia.  O Orkut foi pioneiro em vários recursos que hoje são comuns em outras redes sociais, como criar comunidades por temas, avaliar amigos e deixar mensagens de depoimento. No Brasil, especialmente, o Orkut virou um fenômeno cultural, com comunidades que reuniam milhares de pessoas com os mais diversos interesses, desde hobbies, programas de TV, até piadas e críticas bem-humoradas. Isso me fez pensar por que será que esses projetos que a gente se conecta tanto às vezes acabam desaparecendo assim. Neste Diocast vamos discutir, afinal, será que isso é algo inevitável na tecnologia? ---Deixe seu comentário, ele pode ser lido no próximo programa.https://diolinux.com.br/podcast/sua-distro-um-dia-vai-acabar.html

Fedora 42 and Ubuntu 25.04 are here—We break down what's new, what stands out, and what we love most about each release.Sponsored By:Tailscale: Tailscale is a programmable networking software that is private and secure by default - get it free on up to 100 devices! 1Password Extended Access Management: 1Password Extended Access Management is a device trust solution for companies with Okta, and they ensure that if a device isn't trusted and secure, it can't log into your cloud apps. ConfigCat Feature Flags: Manage features and change your software configuration using ConfigCat feature flags, without the need to re-deploy code. Support LINUX UnpluggedLinks:

Fedora 42 and Ubuntu 25.04 are here—We break down what's new, what stands out, and what we love most about each release.

Fedora is about to ship 42, Ubuntu is gearing up for 25.04, and we talk about a head-to-head performance comparison between the two. LMDE is working on OEM mode, OpenSSH pushes version 10, and the guys make virtual swap make sense. For tips there's cheat, sponge, and ranger, and you can find the show notes at https://bit.ly/4j2qgGg Enjoy! Host: Jonathan Bennett Co-Hosts: Rob Campbell and Jeff Massie Download or subscribe to Untitled Linux Show at https://twit.tv/shows/untitled-linux-show Want access to the ad-free video and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.

Alex breaks down his new business, Distro, the first AI content strategist.  — Show Notes: (0:00) A note from our sponsor (2:26) Welcome back to Founder's Journal (3:34) Be a student of AI (5:48) Post-It Note Pitch (7:08) Launch process (9:42) Create clarity before launch (12:18) Moats in AI (14:09) Go-forward plan (16:05) Conclusion — Thanks to our presenting sponsor, Gusto. Head to www.gusto.com/alex — Episode Links: • Distro: https://youdistro.com/ • AI cancer study: https://x.com/PeterDiamandis/status/1905266239720612160  • Replit: https://replit.com/  • Testing the idea: https://x.com/businessbarista/status/1847032386887770326  Check Out Alex's Stuff: • storyarb - https://www.storyarb.com/ • growthpair - https://www.growthpair.com/ • CTA - https://www.creatortalentagency.co/ • X - https://x.com/businessbarista • Linkedin - https://www.linkedin.com/in/alex-lieberman/ Learn more about your ad choices. Visit megaphone.fm/adchoices

Today we have the developer of XeroLinux back on the podcast once again to not only chat about the project but Arch Linux generally and the world of Linux.==========Support The Channel==========► Patreon: https://www.patreon.com/brodierobertson► Paypal: https://www.paypal.me/BrodieRobertsonVideo► Amazon USA: https://amzn.to/3d5gykF► Other Methods: https://cointr.ee/brodierobertson==========Guest Links==========Website: https://xerolinux.xyz/Github: https://github.com/XeroLinuxMastodon: https://fosstodon.org/@XeroLinux==========Support The Show==========► Patreon: https://www.patreon.com/brodierobertson► Paypal: https://www.paypal.me/BrodieRobertsonVideo► Amazon USA: https://amzn.to/3d5gykF► Other Methods: https://cointr.ee/brodierobertson=========Video Platforms==========

Notfallkommandos, falls die Distro oder einzelne Anwendungen störrisch sind

Gareth and Ted chat about the UK Government compelling Apple to give access to their encryption, Meta torrenting ebooks, Coolermaster unleashing the Masterhub, Windows 98, AOL Desktop, film photography and Ted's take on the Marshall Monitor III. With Gareth Myles and Ted Salmon Join us on Mewe RSS Link: https://techaddicts.libsyn.com/rss Direct Download | iTunes | YouTube Music | Stitcher | Tunein | Spotify  Amazon | Pocket Casts | Castbox | PodHubUK Feedback, Fallout and Contributions @martemiranda1171 I got this recommended by YouTube hahaha 1:05:41 Simon Bates has Given Windows The Boot! After listening with interest to your tales of tinkering with Linux, and as Windows was getting on my tits, I decided to give Linux a try. I used a piece of software on a USB called Ventoy. It allows you to put as many ISO files on a USB as you want without committing to any one operating system. I tried about 5 live Distros over the course of a week. It really is a tinkering dream. Distro-hopping is so addictive. It's like setting up a new phone then changing it again! I couldn't believe how advanced Linux has become. In the end I opted for Bazzite which is based on Fedora but geared towards gamers as I have a big Steam library. Every game just works as soon as downloaded. As Gareth said, there seems to be a decent software store with everything you need - and it all just works. Thanks guys for giving me a little nudge. Looking forward to your Linux special. News UK government demands Apple backdoor to encrypted cloud data Meta torrented over 81.7TB of pirated books to train AI, authors say Coolermaster Masterhub - Kickstarter Banters: Knocking out a Quick Bant Windows 98 SE AOL Desktop Gold is a thing! Film Photography - is it coming back like Vinyl LPs? Gen Z in China. If so, a good time to buy a cheap-but-great used film camera? Marshall Monitor III Bargain Basement: Best UK deals and tech on sale we have spotted Raspberry Pi 500 Tapo Smart Plug with Energy Monitoring - £8.99 Anker Prime 250W Desk Charger 6-Port GaN Charging Station, 2.26" LCD Display and Smart Control Dial - £139.99 from £169.99 UGREEN USB C Charger 100W - £32.49 New Amazon Kindle Scribe (64 GB) Includes Premium Pen – Jade Metallic 16% off, £359 from £429 WD_BLACK SN770 2TB NVMe M.2 SSD, M.2 2280 NVMe SSD - £97.18 Logitech Keys-To-Go 2 Portable Bluetooth Keyboard With Built-in Cover, Pale Grey (only), first reduction to £65.35 from £79.99 since launch eufy by Anker, Lumi Stick-On Night Light, Warm White LED - £14.99 Asus Zenbook 14 OLED UX3402VA 14.0" 2.8K 90Hz Touchscreen Intel i5-13500H, 16GB RAM, 512GB, Windows 11 40% off, £599 from £999 Main Show URL: http://www.techaddicts.uk | PodHubUK Contact:: gareth@techaddicts.uk | @techaddictsuk Gareth - @garethmyles | Mastodon | Blusky | garethmyles.com | Gareth's Ko-Fi Ted - tedsalmon.com | Ted's PayPal | Mastodon | Ted's Amazon YouTube: Tech Addicts

With more criticisms of NixOS than ever—do they have a point? We'll dig into the tough critiques and give our perspective.Sponsored By:Tailscale: Tailscale is a programmable networking software that is private and secure by default - get it free on up to 100 devices! 1Password Extended Access Management: 1Password Extended Access Management is a device trust solution for companies with Okta, and they ensure that if a device isn't trusted and secure, it can't log into your cloud apps. Support LINUX UnpluggedLinks:

With more criticisms of NixOS than ever—do they have a point? We'll dig into the tough critiques and give our perspective.

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

Una de las preguntas más recurrentes en el grupo de Telegram, es que distribución Linux elegir para tal o cual cosa. en general cada uno tenemos nuestro punto de vista. sin embargo yo siempre me planteo que es mejor ver cuáles son tus necesidades antes que simplemente elegir una distribución por la el entorno de escritorio por la paquetería o por cualquier otro tipo de estrella de estas razones. sin embargo hasta el momento nunca había tratado el tema de qué distribución Linux elegir para programar y lo cierto es que si me lo hubiera planteado hace unos años habría elegido otra completamente distinta probablemente habría elegido Ubuntu sin embargo hoy después del tiempo transcurrido utilizando Arch Linux seguro que te voy a recomendar arlinus como distribución Linux para trabajar. porque al final cualquier sistema o cualquier distribución Linux va a funcionar perfectamente para programar entonces son otros condicionantes los que serán los que determinen qué distribución tienes que elegir

Una de las preguntas más recurrentes en el grupo de Telegram, es que distribución Linux elegir para tal o cual cosa. en general cada uno tenemos nuestro punto de vista. sin embargo yo siempre me planteo que es mejor ver cuáles son tus necesidades antes que simplemente elegir una distribución por la el entorno de escritorio por la paquetería o por cualquier otro tipo de estrella de estas razones. sin embargo hasta el momento nunca había tratado el tema de qué distribución Linux elegir para programar y lo cierto es que si me lo hubiera planteado hace unos años habría elegido otra completamente distinta probablemente habría elegido Ubuntu sin embargo hoy después del tiempo transcurrido utilizando Arch Linux seguro que te voy a recomendar arlinus como distribución Linux para trabajar. porque al final cualquier sistema o cualquier distribución Linux va a funcionar perfectamente para programar entonces son otros condicionantes los que serán los que determinen qué distribución tienes que elegir

A package about the men and women from the 156th Airlift Wing from Muniz Air Base and how they partnered with volunteers from the Foundation for Puerto Rico, to distributing food and water in the municipality of Orocovis on Friday, Dec. 8, 2017. The Orocovis municipality, which is in the Central Mountain Range in Puerto Rico, is an area hard to reach in the mountainous part of the island because of washed out and unstable roadways. Some of the people occupying the area have been without power for the last two months and the much-needed supplies were welcomed. Interviewee #1: Staff Sgt. Alex Rivera, 156th Airlift Wing MEDGroup Interviewee #2: Michael Menda, Foundation for Puerto Rico Interviewee #3: Natalia Arcila, Foundation for Puerto Rico (woman in car) Interviewee #4: Airman Angel Ayala RIvera, 156th Airlift Wing LRS *Please see BROLL, Spanish and English Interviews

Preparem-se para a maior batalha de sistemas operacionais da história! Neste episódio do Diocast, embarcamos em uma jornada caótica e hilária para eleger os 32 mais improváveis competidores para um torneio épico: o primeiro e único Survival Game de sistemas operacionais! Através de um sorteio completamente aleatório, reunimos um time eclético com algumas das distribuições Linux mais conhecidas (algumas meio obscuras) e também duas versões do Windows. Qual sistema operacional você acha que tem mais chances de sair vitorioso? Acompanhe-nos nessa aventura e descubra quais sistemas operacionais, por mais improváveis que pareçam, conseguiram se destacar e avançar para as próximas fases. Será que o seu favorito, por mais obscuro que seja, está entre os escolhidos? Não perca essa edição especial e cheia de humor do Diocast, onde o inesperado é garantido! --- https://diolinux.com.br/podcast/survival-game-de-distros.html

Official Email talkinwithtopher@gmail.com **Tee Shirts still available** ----Email me with size---- SALE $15.00 any size, + shipping Topher's Social Media (linktr.ee) ⁠⁠https://linktr.ee/talkinwithtopher⁠⁠ (instagram) ⁠⁠https://www.instagram.com/talkinwithtopher/?hl=en⁠⁠ (twitter) ⁠⁠https://twitter.com/_conderman⁠⁠ (snap chat) ⁠⁠https://www.snapchat.com/add/cconderman?share_id=HiV14moKPns&locale=en-US⁠⁠ (tik tok) ⁠⁠https://www.tiktok.com/@talkinwithtopher?lang=en⁠⁠ (Facebook) ⁠⁠https://www.facebook.com/christopher.conderman⁠⁠ Time Stamps (00:00:00) Start (00:01:11) Burning at both ends (00:04:53) Tens of thousands of bees removed (00:07:48) Giant sea creature washes up on shore (00:11:12) DISTRO New A.I. Tool (00:17:36) Air Taxis Go Live (00:25:04) Rendition of the Future (00:28:27) Time Travel (00:34:02) Writer from Howard Stern Fired (00:45:03) PACT of the Future (00:52:50) Elon releases WE ROBOT Episode Links https://x.com/elonmusk/status/1839124331709751451 https://x.com/myhiddenvalue/status/1838699486958571987 https://x.com/FightMate/status/1837268098363076901 https://x.com/ronin19217435/status/1837734112284524822 https://www.facebook.com/share/r/USs4Dqyrai85iUkm/https://abc7.com/post/air-taxis-la-aviation-startup-wants-bring-rideshare-aircraft-socal-reduce-gridlock/15361315/ https://youtu.be/qoBoZLYLu-k?si=OTva4neOSGO3zhSbhttps://www.seattletimes.com/nation-world/giant-sea-creature-washes-up-on-oregon-beach-for-third-time-in-months/https://www.cnn.com/2024/09/21/us/thousands-of-bees-removed-maine-farmhouse/index.html

In this episode of AI + a16z, Bowen Peng and Jeffrey Quesnelle of Nous Research join a16z General Partner Anjney Midha to discuss their mission to keep open source AI research alive and activate the community of independent builders. The focus is on a recent project called DisTrO, which demonstrates it's possible to train AI models across the public internet much faster than previously thought possible. However, Nous is behind a number of other successful open source AI projects, including the popular Hermes family of "neutral" and guardrail-free language models.Here's an excerpt of Jeffrey explaining how DisTrO was inspired by the possibility that major open source AI providers could turn their efforts back inward:"What if we don't get Llama 4? That's like an actual existential threat because the closed providers will continue to get better and we would be dead in the water, in a sense. "So we asked, 'Is there any real reason we can't make Llama 4 ourselves?' And there is a real reason, which is that we don't have 20,000 H100s. . . . God willing and the creek don't rise, maybe we will one day, but we don't have that right now. "So we said, 'But what do we have?' We have a giant activated community who's passionate about wanting to do this and would be willing to contribute their GPUs, their power, to it, if only they could . . . but we don't have the ability to activate that willingness into actual action. . . . The only way people are connected is over the internet, and so anything that isn't sharing over the internet is not gonna work. "And so that was the initial premise: What if we don't get Llama 4? And then, what do we have that we could use to create Llama 4? And,  if we can't, what are the technical problems that, if only we slayed that one technical problem, the dam of our community can now flow and actually solve the problem?"Learn more:DisTrO paperNous ResearchNous Research GitHubFollow everyone on X:Bowen PengJeffrey QuesnelleAnjney Midha Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts.

We struggled again this week with audio. We appologize for any inconvinence for skipping / low pitched audio This week Steve shares his distro hopping adventures! Noah and Steve are both skating towards the same end goal. They are going about getting there different ways. -- During The Show -- 00:45 Steve's Distro Hopping Steve's distro journey Deepin Desktop vs Deepin Distro Deepin Desktop mix of Gnome and KDE Commercial vs Steve's desktop implementations Unique monitor setup What Noah wants in a computer Reinstall with the niceties Pop!_OS & Cosmic experience Deepin is Chinese Arch & Deepin DE KDE experience KDE can always recover Latte-Dock (https://github.com/KDE/latte-dock) Arch is the nerd safety OS Lots of distros, what's missing 44:00 News Wire SparkyLinux 7.5 - sparkylinux.org (https://sparkylinux.org/sparky-7-5/) ZorinOS 17.2 - zorin.com (https://blog.zorin.com/2024/09/19/zorin-os-17.2-has-landed/) MXLinux 23.4 - mxlinux.org (https://mxlinux.org/blog/mx-23-4-libretto-now-available/) Linux Libre 6.11 - lwn.net (https://lwn.net/Articles/990533/) Real-time Linux Officially Mainline - arstechnica.com (https://arstechnica.com/gadgets/2024/09/real-time-linux-is-officially-part-of-the-kernel-after-decades-of-debate/) Gnome 47 - release.gnome.org (https://release.gnome.org/47/) Gnome 46.5 - discourse.gnome.org (https://discourse.gnome.org/t/gnome-46-5-released/23429) Open Source Maintainers Unpaid - cybersecuritydive.com (https://www.cybersecuritydive.com/news/open-source-maintainers-unpaid-xz-utils/727216/) NSF Initiative - new.nsf.gov (https://new.nsf.gov/tip/updates/nsf-launches-new-initiative-safeguard-open-source-ecosystems) Citrine Sleet Poisons PyPI - darkreading.com (https://www.darkreading.com/threat-intelligence/citrine-sleet-poisons-pypi-packages-mac-linux-malware) Void Editor - voideditor.org (https://voideditor.com) omgubuntu.co.uk (https://www.omgubuntu.co.uk/2024/09/void-editor-open-source-cusor-alternative) Alibaba AI Models - cnbc.com (https://www.cnbc.com/2024/09/19/alibaba-launches-over-100-new-ai-models-releases-text-to-video-generation.html) Mark Zuckerberg's Goal - businessinsider.com (https://www.businessinsider.com/mark-zuckerberg-open-source-ai-platforms-future-competition-apple-llama-2024-9) 46:00 Continuing Camera Discussion - CantankerousAdmin Axis A1001 (https://www.ebay.com/itm/186693503722?) Honeywell's was horrible Newer Axis requires windows Lenels (https://www.lenels2.com/en/security-solutions/access-control/) is the big dog Only for large installs Requires windows Haven't responded to sales inquires Kerisys (https://leviton.com/products/residential/load-centers) is the underdog Requires windows 49:58 Smart Thermostats & Panels - Rob Leviton Load Centers (https://leviton.com/products/residential/load-centers) SPAN Panel (https://www.span.io/panel) Honeywell RedLINK -- The Extra Credit Section -- For links to the articles and material referenced in this week's episode check out this week's page from our podcast dashboard! This Episode's Podcast Dashboard (http://podcast.asknoahshow.com/408) Phone Systems for Ask Noah provided by Voxtelesys (http://www.voxtelesys.com/asknoah) Join us in our dedicated chatroom #GeekLab:linuxdelta.com on Matrix (https://element.linuxdelta.com/#/room/#geeklab:linuxdelta.com) -- Stay In Touch -- Find all the resources for this show on the Ask Noah Dashboard Ask Noah Dashboard (http://www.asknoahshow.com) Need more help than a radio show can offer? Altispeed provides commercial IT services and they're excited to offer you a great deal for listening to the Ask Noah Show. Call today and ask about the discount for listeners of the Ask Noah Show! Altispeed Technologies (http://www.altispeed.com/) Contact Noah live [at] asknoahshow.com -- Twitter -- Noah - Kernellinux (https://twitter.com/kernellinux) Ask Noah Show (https://twitter.com/asknoahshow) Altispeed Technologies (https://twitter.com/altispeed)

Our 181st episode with a summary and discussion of last week's big AI news! With hosts Andrey Kurenkov and Jeremie Harris Read out our text newsletter and comment on the podcast at https://lastweekin.ai/ If you would like to become a sponsor for the newsletter, podcast, or both, please fill out this form. Email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.ai In this episode: - Google's AI advancements with Gemini 1.5 models and AI-generated avatars, along with Samsung's lithography progress.  - Microsoft's Inflection usage caps for Pi, new AI inference services by Cerebrus Systems competing with Nvidia.  - Biases in AI, prompt leak attacks, and transparency in models and distributed training optimizations, including the 'distro' optimizer.  - AI regulation discussions including California's SB1047, China's AI safety stance, and new export restrictions impacting Nvidia's AI chips. Timestamps + Links: (00:00:00) Intro / Banter (00:03:08)Response to listener comments / corrections Tools & Apps(00:09:19) Google's custom AI chatbots have arrived (00:12:52) Google releases three new experimental AI models (00:17:14) Google Gemini will let you create AI-generated people again (00:22:32) Five months after Microsoft hired its founders, Inflection adds usage caps to Pi (00:26:42:) Plaud takes a crack at a simpler AI pin Applications & Business(00:30:31) Cerebras Systems throws down gauntlet to Nvidia with launch of ‘world's fastest' AI inference service (00:41:06) Nvidia announces $50 billion stock buyback (00:46:24) OpenAI in talks to raise funding that would value it at more than $100 billion (00:50:44) OpenAI Aims to Release New AI Model, ‘Strawberry,' in Fall (00:52:53) 3 Co-Founders Leave French AI Startup H Amid ‘Operational Differences' (00:57:29) Samsung to Adopt High-NA Lithography Alongside Intel, Ahead of TSMC (01:02:11) Unitree's $16,000 G1 could become the first mainstream humanoid robot Projects & Open Source(01:04:59) Meta leads open-source AI boom, Llama downloads surge 10x year-over-year (01:09:08) A_Preliminary_Report_on_DisTrO. Research & Advancements(01:13:56) Diffusion Models Are Real-Time Game Engines (01:23:18) LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet (01:32:21) Interviewing AI researchers on automation of AI R&D (01:40:33) Anthropic releases AI model system prompts, winning praise for transparency Policy & Safety(01:47:12) U.S. AI Safety Institute Signs Agreements Regarding AI Safety Research, Testing and Evaluation With Anthropic and OpenAI (01:50:46) China's Views on AI Safety Are Changing—Quickly (01:56:27) Poll: 7 in 10 Californians Support SB1047, Will Blame Governor Newsom for AI-Enabled Catastrophe if He Vetoes (02:01:31) Elon Musk voices support for California bill requiring safety tests on AI models (02:03:55) Chinese Engineers Reportedly Accessing NVIDIA's High-End AI Chips Through Decentralized “GPU Rental Services” (02:08:25) U.S. gov't tightens China restrictions on supercomputer component sales Synthetic Media & Art(02:11:13) Actors Say AI Voice-Over Generator ElevenLabs Cloned Likenesses (02:14:06) Outro

Está em dúvida sobre qual distribuição Linux escolher? Neste episódio do Diocast, vamos desmistificar os termos técnicos e te ajudar a entender os diferentes ciclos de lançamento das distros. Você vai aprender o que significam termos como 'bleeding edge', 'LTS', 'rolling release' e 'point release'. Vamos comparar as vantagens e desvantagens de cada abordagem, usando como exemplo distribuições populares como Arch Linux e Ubuntu. No final, você terá todas as informações necessárias para tomar uma decisão informada e escolher a distro Linux que melhor se adapta ao seu perfil e às suas necessidades. --- Deixe seu comentário, ele pode ser lido no próximo programa. https://diolinux.com.br/podcast/esta-escolhendo-sua-distro-linux-errado.html

•Rev. Walter Butts is affectionately known as “The Big Man Of Gospel Music.” He was blessed by God at an early age to become a singer, musician and composer. These gifts and talents paved the way for him to be granted many opportunities to share the stage with a variety of notable artists such as Albertina Walker, The Mighty Clouds Of Joy, Dorothy Norwood, Jesse Dixon, DeLois Barrett Campbell & The Barrett Sisters, Rev. Milton Brunson & The Thompson Community Singers, Rev. Clay Evans and many more. •Walter J. Butts received national exposure for his musical talents when he was promoted as a lead guest artist on the platform of the National Baptist USA's first recording. This opportunity landed him national recognition for his leading song, “Jesus Keep Me Near The Cross.” It was the top hit song on the album. He was blessed to advance his musical resume even further with two recorded songs on the Jesse Dixon album, “Lord I Need A Breakthrough," and “Lord I Lift My Spirit To You,” which became popular throughout the South and part of the Midwest. •Early in 2024 he presented two new singles, “Let Praises Ring” and “Return Back To God America".  Available on all platforms through Distro-kid •Please send Let's Talk: Gospel Music Gold an email sharing your thoughts about this show segment also if you have any suggestions of future guests you would like to hear on the show. Send the email to ⁠⁠letstalk2gmg@gmail.com⁠⁠ •You may Subscribe to be alerted when the newest episode is published. Subscribe on Spotify and we will know you are a regular listener. All 4 Seasons of guests are still live; check out some other Podcast Episodes •LET'S TALK: GOSPEL MUSIC GOLD RADIO SHOW AIRS SATURDAY MORNING 9:00 AM CST / 10:00 AM EST ON INTERNET RADIO STATION WMRM-DB Aired on iHeart Radio & Live365 •Both Podcast and Radio show are heard anywhere in the World! •BOOK RELEASE! •Legacy of James C. Chambers And his Contributions to Gospel Music History •Available for purchase on Amazon.com

Google erweitert Gemini um themenbasierte Chatbots und Bildgenerator Neue Methode könnte Training großer Sprachmodelle demokratisieren Nach ChatGPT soll auch Claude "dümmer" geworden sein und Meta stellt KI-Modelle für menschenzentrierte Bildanalyse vor https://www.heise.de/thema/KI-Update https://pro.heise.de/ki/ https://www.heise.de/newsletter/anmeldung.html?id=ki-update https://www.heise.de/thema/Kuenstliche-Intelligenz https://the-decoder.de/ https://www.heiseplus.de/podcast https://www.ct.de/ki

This week Steve gives a deep dive into his adventures with Frigate, an open source NVR software. -- During The Show -- 00:46 Orbit Panels Installed at home First professional install Smart home issues 03:03 Oreon Desktop The Register (https://www.theregister.com/2024/08/20/oreon_lime_desktop_almalinux/) Distro based on Alma Linux Hard to get commercial Linux desktop right Oreon Project (https://oreonproject.org/) Company has support Focus on the desktop Has lots of extra packages/software Focus on stability 10:08 Serpent OS 9 to 5 Linux (https://9to5linux.com/serpent-os-gears-up-for-alpha-release-enables-framework-13-and-flathub-support) Serpent OS Alpha release Ikey Doherty 11:55 Cosmic OS 9 to 5 Linux (https://9to5linux.com/system76-launches-pop_os-24-04-lts-with-cosmic-alpha-desktop-environment) Pop!_OS 24.04 Alpha release of Cosmic Desktop Built for users System76 Cosmic (https://system76.com/cosmic) Easy to switch between traditional and tiling desktops Give System76 constructive feedback Available for many distros Tool kit is available on Mac and Windows 21:33 Buying/Owning Content ARSTechnica (https://arstechnica.com/gadgets/2024/08/redbox-app-starts-going-away-removing-purchased-content-from-owners/) Roku axed Redbox app You don't own anything purchased on a "service" 24:45 Sous Vide Cooker to Charge App is 10 years old Charging a subscription fee Claim is to cover hosting and downloads of the app Why not open source the app/protocol? ARSTechnica (https://arstechnica.com/gadgets/2024/08/smart-sous-vide-cooker-to-start-charging-2-month-for-10-year-old-companion-app/) 30:13 News Wire Batocera 40 - gamingonlinux.com (https://www.gamingonlinux.com/2024/08/retro-gaming-linux-distribution-batocera-40-released/) Deepin 23 deepin.org (https://www.deepin.org/en/deepin-23-is-officially-released/) TAILS 6.6 - torproject.org (https://blog.torproject.org/new-release-tails-66/) CockroachDB Licensing Change - techcrunch.com (https://techcrunch.com/2024/08/15/cockroach-labs-shakes-up-its-licensing-to-force-bigger-companies-to-pay/) Mesa 24.2.0 - mesa3d.org (https://docs.mesa3d.org/relnotes/24.2.0.html) Gentoo & IA-64 Itanium - Gentoo.org (https://www.gentoo.org/news/2024/08/14/Gentoo-drops-IA-64-support.html) OMI Joined ORGS - theregister.com (https://www.theregister.com/2024/08/13/open_model_initiative_linux_foundation/) Hermes 3 - siliconangle.com (https://siliconangle.com/2024/08/15/hermes-3-super-creative-version-open-source-llama-3-1-llm-struggles-inner-conflict/) NeuroTrALE - extremetech.com (https://www.extremetech.com/science/mit-scientists-detangle-the-brain-with-new-open-source-ai) 32:00 Frigate Make Good Mostly user error h.265 vs h.264 New release 0.14 complete rewrite of the UI User permissions exist now! Got a response on Github! 6 cameras plus a doorbell RioLink HA plugin did magic Moved from HA to Ryzen 1700 Power usage in HA vs Baremetal+GPU Network load Now up to 125 watts 5 disks 64 GB of RAM Tying into Home Assistant Open Source taking over proprietary Documentation Getting things "dialed in" Passing on "tribal knowledge" Calculating RAM usage Predicts disk usage Don't put it on the same box as Home Assistant -- The Extra Credit Section -- For links to the articles and material referenced in this week's episode check out this week's page from our podcast dashboard! This Episode's Podcast Dashboard (http://podcast.asknoahshow.com/404) Phone Systems for Ask Noah provided by Voxtelesys (http://www.voxtelesys.com/asknoah) Join us in our dedicated chatroom #GeekLab:linuxdelta.com on Matrix (https://element.linuxdelta.com/#/room/#geeklab:linuxdelta.com) -- Stay In Touch -- Find all the resources for this show on the Ask Noah Dashboard Ask Noah Dashboard (http://www.asknoahshow.com) Need more help than a radio show can offer? Altispeed provides commercial IT services and they're excited to offer you a great deal for listening to the Ask Noah Show. Call today and ask about the discount for listeners of the Ask Noah Show! Altispeed Technologies (http://www.altispeed.com/) Contact Noah live [at] asknoahshow.com -- Twitter -- Noah - Kernellinux (https://twitter.com/kernellinux) Ask Noah Show (https://twitter.com/asknoahshow) Altispeed Technologies (https://twitter.com/altispeed)

Fuzzy human scum heads lately here at BGP headquarters. Nothing will stop the onslaught of killer punk tunes that the world bestoweth upon us. New stuff (like the blessings from Fuzzed Atrocities Japan), stuff we've never played, and random stuff. Had to mess with the set list because Blogger flagged it. Apologies! Hit us up at brothersgrimpunk@gmail.com and download our music on our Bandcamp page.471 Playlist:Punker Cement...Greenland Every day is misery 0:49 Bipolar Once A Junk**, Always A Junk** Upset Conditions IN ALWAYS LOSE 0:23 MISSILE STRATEGY MISSILE STRATEGY Alberta Nuke 1:56 Rubber Cement EP 2024 Fuzzed Atrocities Japan Commandeering… 3:40 TRASH COMPACTOR BURIAL 2024 Fuzzed Atrocities Release Beerfriend (bkgrd) 3:23 Butchers Bill American Trash MDI WI Blind Faith 1:30 WARBASTARD WARBASTARD 2020 BOOTLEG DEMO Milwaukee CANS 1:08 Abi Ooze Of Power//No Surprise Cassingle Portland no peace 1:10 BLEACH DEMO 2024 Beach Impediment Manmade Hell 1:06 Disarm Existence Demo 1985 Oregon Ballad… 0:09 REZERECTED, rectumisXmaximus Sickening Sight… FUCKOFF/GOHOME 0:31 REZERECTED... Sickening Sight... Fuzzed Out 1:10 ROLEX Grimly Forming / ROLEX Split Side B - Part Two 1:43 phobiarecords Panikattack - Ett Sista Farväl LP Painters Tapes MI Shanked 1:32 Easers Easers PV Recs Pressure 1:41 Möney + Sprgrs *A**B* Summer 04' - Misled Youth (bkgrd) 3:25 Welfare Scouts Boom Box + More Fresno TO FREE 0:44 HUMAN RADIATION RELEASE L.A. …Spree 1:32 Grimly Forming Grimly Forming / ROLEX Split Italy Non Esisto 1:18 Lucta Eterna Lotta Cuties 1:35 Berzerk V/A The Recess Romp 3 Argentina Desesperado 1:01 sentimiento fatal S/F Quebec Un des peu 1:35 PUST PUST - EP Solo Project Nunca confíes en un hippie okupa (never trust a hippie squatter) 1:44 Distro.cefalia Requiem II Human Wreck - Total Defeat 1:05 Warcycle, Semtex 87, Gaoled, Territory, Total Defeat & No Future TS50 - Noise Not Money 7" Budapest Solo NUKLEÁRIS BÁBEL 1:00 ZAVAR KI A FELELŐS? KC I Don't Even Like You 1:09 Carrie Fast Food Punk Rock Ohio Feeding Them Glue 1:20 Circus Promo Second Generation (bkgrd) 3:14 Meatwagon Arrival IGNORANT F 1:25 XGRIFOX XGRIFOX ENCARCELADO 0:48 XGRIFOX XGRIFOX 2 Dead Weight 1:44 Bloody Wankers Blah! Bummer Tapes Portland 50 Cans 1:20 22RE 22RE Demo Milwaukee Sociopath 2:10 Splatter Pattern Scum of the City - 2020 demo Nova Scotia Power Must End 1:00 FRAGMENT 2020 Bandcamp Single Philly Combat Conditions 1:25 HALLUCINATION S/T Chicago TLC NO SCUMS 0:33 Anomaly Demo Landlords - 1-2-X-U (Wire) 1:37 G.T.R.R.C G.T.R.R.C III FL Robot 1:20 Cherry Cheeks No Ticket The End (bkgrd) 4:19 The Separation Demo 07 Extinction Burst L.A. Can't Fix Stupid 1:13 HOUSE ARREST 2024 Demo Other ways to hear BGP:Archive.org#471 on ArchiveApple PodcastsYouTube PodcastsPunk Rock Demonstration - Wednesdays 7 p.m. PSTRipper Radio - Fridays & Saturdays 7 p.m. PSTContact BGP:brothersgrimpunk@gmail.com@Punkbot138 on Instagram@BrosGrimPunk on XMore Music:Bandcamp - Follow us and download our albums: Brothers Grim Punk, Fight Music, and more!YouTube - tons of our punk playlists, from Anarchy to Zombies!

This week the lads are delighted to be joined by sync expert, Tom Stingemore. In his own words he is “a long time major label, major publishing sync person. Pushing on eighteen years of doing sync for the world's greatest artists and songwriters - in my own biased opinion.” We have to say we agree!Tom has worked on some of the most iconic syncs during his time at Universal Records, BMG and Hypnosis such as the famous John Lewis Christmas ads and the iconic iPod adverts. However times are changing and brands are no longer making one or two big adverts a year, they're making hundreds of pieces of branded content. Is traditional sync licensing able to keep up with the increasing demand? Or will brands and advertising companies start to opt for royalty free music? Tom tells us all about the inspiration behind his new company ALLOY sync distro. and what he's doing to streamline the licensing process for commercial music in the social media age. @tomstinge @alloysyncdistrohttps://www.alloysyncdistro.com/ Hosted on Acast. See acast.com/privacy for more information.

Warner Music appears to be making moves to gobble up CD Baby or Distrokid... perhaps both? What does this mean for our independent distribution? We look over the details and discuss implications. Over on our label last week, we released 'Music For Reimagined Landscapes', a remix album of tracks originally released by our very own Sunwarper. We're celebrating his release and discussing approached to remixes and why they are hella fun. Check out 'Music for Reimagined Landscapes' here: https://sunwarper.bandcamp.com/album/music-for-reimagined-landscapes Help Support the Channel: Patreon: https://www.patreon.com/audionautic PayPal: https://www.paypal.com/paypalme/Audionautic Members get exclusive discord channels, the ability to come on the show & more :) Thanks to our Patrons who support what we do: Audionauts: Abby, Bendu, David Svrjcek, Josh Wittman, Paul Ledbrook, Matt Donatelli and Stephen Setzepfandt Lars Haur - Audionaut Producer Jonathan Goode - Audionaut Producer Time Stamps: 0:00 Intro 6:00 Warner Music Eyeing a Distributor 23:00 Community Corner 25:00 Ways to Approach Remixes #warnermusic #musicdistribution #musicproduction

Coming up in this episode * Do you think Larry uses Firefox? * The Compiled History of Gentoo * and How we emerged from the year long journey 0:00 Cold Open 2:44 Mozilla Watch! 24:59 Gentoo - The Early Years 30:30 Gentoo - 1.0 And Beyond 35:20 Gentoo - 2007 to 2014 39:56 Gentoo - 2015 to the Present 45:37 The ENTIRE Gentoo Journey 1:20:49 Next Season? 1:24:52 Stinger The Video Version! (https://youtu.be/bsPV79bgU4c) https://youtu.be/bsPV79bgU4c Mozilla Watch Mozilla recently announced some planned improvements (https://blog.mozilla.org/en/mozilla/heres-what-were-working-on-in-firefox/).

There's a reason for all the chatter around artificial intelligence on Distribution Talk: early adopters gain a competitive edge that's hard to beat. Jason Bader welcomes Jason Sullivan, founder and CEO of Distro AI, to expand on the AI conversation.  They discuss Distro AI's process for leveraging vast amounts of raw data (think: key industry insights and thousands of product SKUs) to create rep-friendly, real-time recommendations that boost sales and customer satisfaction. The pair also preview AskA2L, Distro's intuitive AI chat feature purpose-built for HARDI. CONNECT WITH JASON BADER LinkedIn CONNECT WITH JASON SULLIVAN LinkedIn Email *** For full show notes and services visit: https://www.distributionteam.com Distribution Talk is produced by The Distribution Team, a consulting services firm dedicated to helping wholesale distribution clients remove barriers to profitability, generate wealth, and achieve personal goals.    This episode was edited by The Creative Impostor Studios.  Special thanks to our sponsor for this episode: Moblico, helping businesses do more business on mobile devices.

It's time to revel in the new hardcore punk, d-beat, metal punk and grindcore releases issued from April and May 2024. Grind 'til death!! (0:00) "Resilience" + "Up To You" SHATTER - Demo 2024 SHATTER - DEMO 2024 | Shatter | Desolate Records (bandcamp.com) (4:54) "Bomberna Faller Anda" + "Decentralisera" ZYFILIS - Oresund Hardcore Omnibus Öresund Hardcore Omnibus | zyfilis (bandcamp.com) (9:06) "Violent Ritual" + "Cull the Herd" PERSONAL DAMAGE - Violent Ritual Violent Ritual | Personal Damage | Sorry State Records (bandcamp.com) (11:14) "Reinvidicacion" IMPURA REALIDAD - Seguimos Vomitando Seguimos Vomitando | Impura Realidad. | Distro.cefalia (bandcamp.com) (13:52) "Out of Sight" SPUTA - Consumed Or Be Consumed Consumed & Be Consumed | SPUTA (bandcamp.com) (16:41) "Extirpated" WOAT - Holocene Extinction Holocene Extinction | WOAT (bandcamp.com) (19:08) "Le Cri" + "Detonation" FAUCHEUSE - Reve Electrique Rêve Électrique | Faucheuse (bandcamp.com) (22:06) "Three Bastards" POISONCHARGE - Three Bastards Three Bastards | Poisöncharge (bandcamp.com) (24:59) "Pressure Through Faith" + "Intimidate" CHURCHGOERS - Complacent Faith Complacent Faith 7" | Churchgoers (bandcamp.com) (27:30) "Scratches of Fear" FLEXTID - Massive Suffering of the Empty World Verses MASSIVE SUFFERING OF THE EMPTY WORLD VERSES | FLEXITD (bandcamp.com) (30:00) "Glitch" + "Leetch" ACCELERATED MUTATION - Ashes Ashes E.P. | Accelerated Mutation (bandcamp.com) (33:33) "Just Us" + "Densen" A SOX - Drink Up Drink Up | a sox (bandcamp.com)

Neste episódio do Diocast vamos discutir será que "Linux é tudo igual?". Afinal, embora as distros compartilhem muitos componentes comuns, distinguem-se por uma variedade de fatores que atendem a diferentes necessidades e preferências dos usuários. Uma distro derivada é criada a partir de uma distribuição existente, mantendo a base fundamental, mas modificando e adicionando elementos para servir a um propósito específico ou a uma comunidade particular. Por exemplo, muitas distribuições derivam do Debian devido à sua estabilidade e leveza, mas cada uma oferece algo único, seja em termos de suporte a hardware, experiência do usuário ou filosofia de design. Já um fork ocorre quando desenvolvedores pegam o código de uma distro e o modificam tão profundamente que ele se torna essencialmente um novo projeto, com objetivos e direção próprios. Isso pode acontecer por divergências na visão do projeto original ou por uma necessidade de inovação que não é possível dentro dos limites da distro mãe. Um exemplo notável é o Ubuntu, que começou como um fork do Debian e se tornou uma das distribuições mais populares com seu próprio ecossistema de software e comunidade. O remaster é um processo mais superficial em comparação com a criação de uma distro derivada ou um fork. Envolve pegar uma distribuição existente e personalizá-la com diferentes conjuntos de software, configurações ou temas, geralmente para distribuição em um formato de mídia como um Live CD. Isso permite que os usuários experimentem a distro com essas personalizações sem ter que instalar ou alterar o sistema operacional existente. Também discutimos neste episódio os elementos que fazem parte da construção de uma distro e como a escolha a sua escolha pode ser influenciada por vários fatores, como a familiaridade com uma determinada interface de usuário, requisitos de hardware, tipo de pacote e gerenciamento de sistema, suporte da comunidade e filosofia por trás do projeto. Em última análise, não existe "uma melhor" distribuição Linux e com certeza "Linux é tudo igual" apenas se visto de forma muito superficial; o que existe é a distribuição que melhor se adapta às suas necessidades e preferências. A diversidade de distros disponíveis reflete a diversidade da comunidade Linux e garante que, seja qual for sua exigência, provavelmente há uma distro lá fora que se encaixa perfeitamente. Mesmo que os projetos acabem seguindo caminhos diferentes, todos eles compartilham das liberdades que estão no cerne dos projetos open source e por isso, todos fazem parte de um movimento maior. E não se preocupem em caso no começo pareça informação demais. Aprender algo novo vai exigir um investimento de tempo e energia, mas entenda que você não precisa aprender tudo de uma vez, comece focando no que é prioritário para sua rotina e avance aos poucos. E claro, conte conosco para te ajudar nessa caminhada. --- O canal Diolinux está participando do prêmio iBest 2024, saiba como votar no post do episódio. Deixe seu comentário, ele pode ser lido no próximo programa. https://diolinux.com.br/podcast/linux-e-tudo-igual.html --- Send in a voice message: https://podcasters.spotify.com/pod/show/diolinux/message

https://youtu.be/jtFbALBRfGg Download as MP3 (https://aphid.fireside.fm/d/1437767933/32f28071-0b08-4ea1-afcc-37af75bd83d6/53121507-2d24-49ab-8f94-00e264441081.mp3) Sponsored by Kolide: If a device isn't secure, it can't access your apps. It's device trust for Okta. Visit https://destinationlinux.net/kolide to learn more and watch a demo. Sponsored by LINBIT: Visit destinationlinux.net/linbit (https://destinationlinux.net/linbit) to learn how LINBIT's OSS, based on DRBD® and LINSTOR®, can be used for Kubernetes, CloudStack, OpenNebula, and more. Support the show by becoming a patron at tuxdigital.com/membership (https://tuxdigital.com/membership) or get some swag at tuxdigital.com/store (https://tuxdigital.com/store) Hosted by: Michael Tunnell = https://michaeltunnell.com (https://michaeltunnell.com) Ryan (DasGeek) = https://dasgeek.net (https://dasgeek.net) Jill Bryant = https://jilllinuxgirl.com (https://jilllinuxgirl.com) Chapters: 00:00:00 Intro 00:01:45 Community Feedback 00:09:40 Sponsored by Kolide 00:13:40 Fedora VS Ubuntu 01:10:20 Sponsored by LINBIT 01:11:39 Gaming: Dota 2 01:22:24 Software Spotlight: Mission Center 01:25:43 Tip of the Week: Alias 01:26:48 Events 01:30:07 Outro Links: https://fedoramagazine.org/announcing-fedora-linux-40/ (https://fedoramagazine.org/announcing-fedora-linux-40/) https://canonical.com/blog/canonical-releases-ubuntu-24-04-noble-numbat (https://canonical.com/blog/canonical-releases-ubuntu-24-04-noble-numbat) https://store.steampowered.com/app/570/Dota_2/ (https://store.steampowered.com/app/570/Dota_2/) https://flathub.org/apps/io.missioncenter.MissionCenter (https://flathub.org/apps/io.missioncenter.MissionCenter) https://bitwarden.com/blog/add-privacy-and-security-using-email-aliases-with-bitwarden/ (https://bitwarden.com/blog/add-privacy-and-security-using-email-aliases-with-bitwarden/) https://www.redhat.com/en/summit (https://www.redhat.com/en/summit) https://tuxdigital.com/discord (https://tuxdigital.com/discord)

Fighting with Windows • Project Bluefin • Rocketbook • OnePlus Watch 2

Chad Ingram walked out of the room 30 minutes into his LSAT practice exam, knowing that this calling in life was entrepreneurship—not litigation.   Now with three exits under his belt, Chad councils founders to focus on solving a problem and building a good product, rather than building a business with the sole intention to sell it.   He shares his experiences with the emotional toll that can come with selling a business and the need to separate your identity from your entrepreneurial ventures. He also talks about his journey with debt financing, cold calling, and following instincts.

The 2024 State of Open Source Report is out and as usual, we're going through it to find out how things changed. And as an added bonus, we took last years report and made "evolution slides" to compare previous years to the latest report, something we always find missing in the report as OpenLogic publishes it. The 2024 State of Open Source Report by OpenLogic was the main inspiration for this episode. And here are the slides we used today: 394Download Please use the Contact Form on this blog or our twitter feed to send us your questions, or to suggest future episode topics you would like us to cover.

This week we hop from Wubuntu to Cosmic to Ubuntu LTS, and cover NVMe over TCP, continuous profiling, Pipewire cameras, and Krita. There's a couple new Open Source code drops, and finally FUSE lands a killer speedup for kernel 6.9. We had a quick roundtable about the killer features of our favorite desktops, and then the tips were all about filesystems and disk management, with cfdisk looking great, a whole list of disk cloning tools to choose from, and how to use pvresize to continue our task of resizing a VMs hard drive. The show notes are at https://bit.ly/3PoiA4s and have a great week! Host: Jonathan Bennett Co-Hosts: Rob Campbell and Jeff Massie Want access to the video version and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.

The boys return after a week off to answer your questions.

What would the ultimate Linux distro look like if we could take the best parts of all the distros that exist and shove them into one big package? ==== Special Thanks to Our Patrons! ==== https://thelinuxcast.org/patrons/ ===== Follow us

Tyler and Matt return to piss everyone off.

https://youtu.be/nl2viCr92TU Forum Discussion Thread (https://forum.tuxdigital.com/t/252-mesa-24-kubuntu-24-04-elementary-os-dam-small-linux-ai-news-more-linux-news/6157) On this episode of TWIL (252), we have a new version of the core graphics stack project Mesa. A very small yet phoenix-like distro is rising from the ashes of deprecation. Kubuntu has released their plans for Kubuntu 24.04 and the roadmap for implementing KDE Plasma 6. elementary has released a preview of the next edition of their OS. All of this and more on this episode of This Week in Linux, Your Source for Linux GNews! Download as MP3 (https://aphid.fireside.fm/d/1437767933/2389be04-5c79-485e-b1ca-3a5b2cebb006/6e8ddba8-e1a4-4778-bbb2-5c105e3ab6f1.mp3) Supported by: Kolide = https://thisweekinlinux.com/kolide (https://thisweekinlinux.com/kolide) Want to Support the Show? Become a Patron = https://tuxdigital.com/membership (https://tuxdigital.com/membership) Store = https://tuxdigital.com/store (https://tuxdigital.com/store) Chapters: 00:00 Intro 00:37 Mesa 24.0 Released - [link (https://lists.freedesktop.org/archives/mesa-dev/2024-February/226138.html)] 01:52 Damn Small Linux 2024 Released - [link (https://www.damnsmalllinux.org/)] 04:51 Kubuntu 24.04 LTS Won't Use KDE Plasma 6.0 - [link (https://kubuntu.org/news/kubuntu-council-meeting-30th-january-2024/)] 07:33 elementary OS 8 Available in Early Access - [link (https://blog.elementary.io/updates-for-february-2024/)] 10:10 Kolide - [link (https://thisweekinlinux.com/kolide)] 11:33 KaOS Linux 2024.01 Released - [link (https://kaosx.us/news/2024/kaos01/)] 13:56 Mozilla's Monitor Plus - [link (https://blog.mozilla.org/en/mozilla/introducing-mozilla-monitor-plus-a-new-tool-to-automatically-remove-your-personal-information-from-data-broker-sites/)] 16:26 FCC to declare AI-generated voices in robocalls illegal - [link (https://arstechnica.com/tech-policy/2024/02/fcc-to-declare-ai-generated-voices-in-robocalls-illegal-under-existing-law/)] 20:18 Bluesky Social Network Opens to Everyone - [link (https://bsky.social/about/blog/02-06-2024-join-bluesky), TWIL on Bluesky (https://bsky.app/profile/thisweekinlinux.bsky.social)] 22:37 New Edition for SKATE coming to Steam - [link (https://www.gamingonlinux.com/2024/02/the-new-skate-from-ea-will-be-coming-to-steam/)] 24:05 Niri 0.1.1 Wayland Compositor - [link (https://github.com/YaLTeR/niri)] 25:28 Greenfield In-Browser Wayland Compositor - [link (https://greenfield.app/)] 26:51 Clonezilla Live 3.1.2 Released - [link (https://clonezilla.org/)] 27:58 Outro

On this episode of TWIL (252), we have a new version of the core graphics stack project Mesa. A very small yet phoenix-like distro is rising from the ashes of deprecation. Kubuntu has released their plans for Kubuntu 24.04 and the roadmap for implementing KDE Plasma 6. elementary has released a preview of the next […]

Tyler and Matt return to talk more in depth about NixOS. We also have our Nuggies of the Week for you. ==== Special Thanks to Our Patrons! ==== https://thelinuxcast.org/patrons/ ===== Follow us

This challenge gets ugly as we slowly realize we've just become zombie slayers. We load Linux on three barely alive systems, and it takes a turn we didn't expect.

On this episode of the Silicon Slopes Podcast, Clint meets with Chad Ingram, the Founder and CEO of Distro. They delve into Chad's entrepreneurial journey including his experiences in establishing and successfully selling a startup, leading to his current role at Distro. Chad has an exhilarating background in racing cars and he talks about the intricate process of getting into this lifestyle, as well as constructing the perfect pit crew team to support him in races. Chad shares his story of founding Distro and how he was inspired to fill a gap in the outsourcing market. They also talk about startups in Utah and highlight what some local leaders are doing to put the state on the map of innovation. "You become dangerous and productive when you don't give a sh**. And that doesn't mean that you become careless. It just means that you become fearless."

The journey of trying to make a video game is an intense, arduous quest, often paralleling the perils of the games that inspired it. It requires an inquisitive mind, futuristic wisdom, a ton of loot, and a badass party, each bringing their own special abilities to help transform a dream into reality.    Your spawn point might also be nowhere near any of the aforementioned resources, so how does one find their fellow visionary adventurers and the funding to forge the functionalities and fables to enrapture gamers around the world... and, you know, pay rent???    Enter Brooklyn-Based VoxPop, a distribution platform and middleware toolset that helps every role in indie game development find projects and strong collaborative fits while ensuring all involved receive an equitable payout from the endeavor.   Through VoxPop's core model, creators can pay collaborators (programmers, artists, community managers, etc.) with a percentage of their game's earnings. Whenever the game gets released, everyone will get paid in dividends after each sale. This allows devs to jumpstart their build even if they don't have access to initial capital. Share amounts are agreed upon, and payments are fully automated. The VoxPop platform will calculate what's owed and distribute proceeds to all shareholders. This model also incentivizes everyone invested to help push the game. VoxPop game devs have effectively partnered with PR/marketing opportunities and streamers to help push their art to a wider audience, and now VoxPop is finding success through their “VoxPop Fund” — receiving proposals and stepping into a producer role on selected projects, and securing a publishing partnership with GamerSky. The first of these was Salt & Pixel's “Outer Terror” — a cult classic action roguelike harkening back to b-movie horror and grindhouse gore.

https://thehomelab.show/The sponsor for today's episode: https://www.linode.com/homelabshow https://lawrencesystems.com/https://www.learnlinux.tv/ https://github.com/89luca89/distrobox

Welcome to another captivating episode of Deeper Than Dough, the podcast that dives into the juiciest slices of life with your hosts, Bennett and Mike! In this episode, we're joined by the incredibly inspiring Chad Ingram, Founder & CEO at Distro and a race car driver who knows a thing or two about life in the fast lane. Get ready to buckle up as we explore breaking free from the chains of identity, chasing that elusive pursuit of happiness, and discovering the true power of creating opportunities for empowerment. Chad takes us on a thrilling ride, sharing his experiences from the racetrack to the boardroom, all while revolutionizing the way we think about tech hiring. Grab your favorite snack, sit back, and join us in this engaging conversation that's not just about dough – it's about digging deeper into what really matters in life. Tune in and let's discover together how to rev up your journey toward a more fulfilling and empowered future!

Today's Full Stack Journey dives into Talos Linux, a "fit-for-purpose OS" designed for running Kubernetes. Host Scott Lowe speaks with Andrew Rynhard about Talos Linux and Sidero Labs, the company behind the Talos open source project. They discuss how Talos differs from other distributions, the concept of machine Linux, how Talos is designed for Kubernetes, and more.

Today's Full Stack Journey dives into Talos Linux, a "fit-for-purpose OS" designed for running Kubernetes. Host Scott Lowe speaks with Andrew Rynhard about Talos Linux and Sidero Labs, the company behind the Talos open source project. They discuss how Talos differs from other distributions, the concept of machine Linux, how Talos is designed for Kubernetes, and more. The post Full Stack Journey 082: Inside Talos Linux – The Distro Built For Kubernetes appeared first on Packet Pushers.