Podcasts about Pentium

LM publica cómo el "decrecimiento" sigue abriéndose camino: un nuevo libro lo propone como solución única ante un planeta que se "agota".

All'alba dell'anno nuovo rileggiamo le nostre previsioni per il 2024 e facciamo quelle per il 2025. L'anno nero di Intel. Il Commodore 64 vive. La truffa di Honey. Queste e molte altre le notizie tech commentate nella puntata di questa settimana.Dallo studio distribuito di digitalia:Franco Solerio, Michele Di Maio, Massimo De SantoProduttori esecutivi:Adriano Guarino, @Jh4Ckal, Alessandro Lago, Nicola Carnielli, Paola Danieli, Antonio Gargiulo, Nicola Gabriele Del Popolo, Giuseppe Benedetti, @Akagrinta, Valerio Bendotti, Antonio Turdo (Thingyy), Roberto Barison, Alberto Cuffaro, Silvano Carradori, Fabio Brunelli, Matteo Arrighi, Christian Masper, Douglas Whiting, Matteo C., Enrico De Anna, Diego Venturin, Fabrizio Reina, Giulio Magnifico, Michele Bordoni, Andrea Malesani, Roberto Esposito, Simone Magnaschi, Danilo Sia, Ano-Nimo, Arnoud Van Der Giessen, Davide Corradini, Umberto Marcello, Giorgio Puglisi, Edoardo Volpi Kellerman, Paola Bellini, Fabio Filisetti, ma7u, Alex Ordiner, Giulio Gabrieli, Ftrava, Massimiliano Sgroi, Federico Bruno, Simone Pignatti, Mattia Lanzoni, Giuliano Arcinotti, Matteo Molinari, Daniele Corsi, Manuel Zavatta, Davide Bellia, @Ppogo, Andrea Scarpellini, Michele Coiro, Matteo Masconale, Pancrazio De Gioia, Davide Fogliarini, Sandro Acinapura, Stefano Augusto Innocenti, Fabrizio Bianchi, Davide Tinti, Nicola Fort, Riccardo Peruzzini, Stefano Orso, Paolo Lucciola, Giuseppe Marino, Matteo Faccio, Nicola Gabriele Del Popolo, Paolo Bernardini, Angelo Travaglione, Filippo Brancaleoni, Massimo Dalla Motta, Alessandro Grossi, Fiorenzo Pilla, Andrea Bottaro, Christian Schwarz, Flavio Castro, Antonio Manna, Roberto Tarzia, Fabio Zappa, Mirto Tondini, Pasquale Maffei, Marco Zambianchi (Astronauticast), Marcello Marigliano, Nicola Bisceglie, Elisa Emaldi - Marco Crosa, Massimo Pollastri, Marcello Piliego, Andrea Delise, Paolo Boschetti, Christian Fabiani, Idle Fellow, Jean Dal Bo, Ligea Technology Di D'esposito Antonio, Luca Di Stefano, Christian A Marca, Fabrizio Mele, Nicola Pedonese, Cristian Pastori, Ivan Pellerani, ---, Roberto Basile, Maurizio Verrone, Matteo Carpentieri, Francesco Paolo SilenoSponsor:Squarespace.com - utilizzate il codice coupon "DIGITALIA" per avere il 10% di sconto sul costo del primo acquisto.Links:Predictions 2025: Big Tech Takes the Reins | by John BattelleIs AI progress slowing down?How AI Agents Will Disrupt SaaS in 2025Does current AI represent a dead end?X CEO Yaccarino: X Money Payment System Will Launch In 2025Almanacco Digitaliano - AmazonAlmanacco Digitaliano - LedizioniIntel has worst year ever while Broadcom enjoys record gainIntel's $475 million error: the silicon behind the Pentium division bugCommodore 64 in un negozio di ciambelle come registratore di cassaPasskey technology is elegant but its most definitely not usable securityHow AI is unlocking ancient texts and could rewrite historyHow Hallucinatory A.I. Helps Science Dream Up Big BreakthroughsExposing the Honey Influencer ScamYouTube Creator Denounces PayPal Browser Extension Honey as a ScamNurses whose shitty boss is a shitty appkepano - Bending Spoons acquiring ObsidianGingilli del giorno:Zen and the Art of Aibo Engineering - IEEE SpectrumI Saved an Electron Microscope from the TrashOpenvibe - Town Square for Open Social MediaSupporta Digitalia, diventa produttore esecutivo.

Soutenez-nous sur patreon.com/iweek !Voici l'épisode 210 d'iWeek (la semaine Apple), le podcast.L'iPhone 18 sera-t-il pliant ?Enregistré le mardi 3 décembre 2024 à 17h45 : enregistrement streamé à suivre en direct sur X, Facebook, YouTube, Twitch et LinkedIn Live, chaque mardi désormais à 17h30.Présentation : Benjamin Vincent, avec la participation d'Elie Abitbol (co-fondateur de MCS et ex-président des Apple Premium Resellers en France) et Fabrice Neuman (consultant tech pour les petites entreprises et contributeur à "Comment ça marche").Au sommaire de cet épisode 210 : l'empire Google peut-être à l'aube d'un démantèlement historique. Le ministère américain de la Justice réclame qu'Alphabet, la maison-mère, se sépare de Chrome, le navigateur qui rapporterait environ 200 milliards de $ par an… et déconnecte Android du Play Store notamment : une telle explosion va-t-elle vraiment arriver ? Qui pourrait racheter Chrome ? À quel prix ? Et est-ce qu'Apple risque le même sort avec Safari et iOS notamment ? C'est l'événement de la semaine.Un iPhone pliant pourrait donner un coup d'accélérateur majeur au marché : +30%. Et la sortie se précise puisqu'il est maintenant question du 2e semestre 2026, autrement dit potentiellement de l'iPhone 18 pour une version pliante (ou pliable selon les goûts).À qui appartient la marque iPhone ? On croyait le sujet clos depuis 2007 et l'accord entre Apple et Cisco qui avait initialement déposé le nom « iPhone » mais Gradiente, une entreprise brésilienne, attend son heure. Elle prétend posséder la marque depuis… l'an 2000.Et puis, le bonus hebdo exclusif, pour nos soutiens Patreon. Cette semaine, Intel dans la tourmente. Son CEO, Pat Elsinger, a appris, dans la nuit de lundi à mardi que sa retraite commençait... tout de suite. Intel qui a raté deux révolutions : le smartphone et l'IA. Qu'il est loin, le temps où Apple fumait des Pentium. Pour en profiter, rendez-vous sur patreon.com/iweek.Bonne écoute et merci pour votre fidélité, pour votre confiance.Et à mardi prochain, 10 décembre 2024, pour l'épisode 211 dont l'enregistrement sera à suivre en direct à partir de 17h30 sur sur X, Facebook, YouTube, Twitch et LinkedIn Live !Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

Why social species live longer than their solitary counterparts. Plus, Weird Wednesday has an Artisan Cheese Thief, More Drugs on Pizza, and a potential lawsuit from an elephant? On This Day in History, we look at Intel's Pentium Bug of 1994. More social species live longer | ScienceDaily Artisan cheese seller in a pickle after thieves made off with massive cheddar haul | AP News Pizza inadvertently infused with THC sickens dozens in Wisconsin | AP News Can an elephant sue to leave a zoo? Colorado's top court must now decide | AP News Rare dime bought by Ohio farm family and hidden for decades fetches $500,000 at auction | AP News Mathematician Finds Intel's Pentium Doesn't Compute : Technology: A flaw that the company failed to disclose in June causes errors in complex calculations. - Los Angeles Times (latimes.com) Contact the show - coolstuffcommute@gmail.com Thank you to our sponsors! This episode is brought to you by Incogni. Take your personal data back with Incogni! Use code COOLSTUFF at the link below and get 60% off an annual plan: http://incogni.com/coolstuff Learn more about your ad choices. Visit megaphone.fm/adchoices

CEOs of publicly traded companies are often in the news talking about their new AI initiatives, but few of them have built anything with it. Drew Houston from Dropbox is different; he has spent over 400 hours coding with LLMs in the last year and is now refocusing his 2,500+ employees around this new way of working, 17 years after founding the company.Timestamps00:00 Introductions00:43 Drew's AI journey04:14 Revalidating expectations of AI08:23 Simulation in self-driving vs. knowledge work12:14 Drew's AI Engineering setup15:24 RAG vs. long context in AI models18:06 From "FileGPT" to Dropbox AI23:20 Is storage solved?26:30 Products vs Features30:48 Building trust for data access33:42 Dropbox Dash and universal search38:05 The evolution of Dropbox42:39 Building a "silicon brain" for knowledge work48:45 Open source AI and its impact51:30 "Rent, Don't Buy" for AI54:50 Staying relevant58:57 Founder Mode01:03:10 Advice for founders navigating AI01:07:36 Building and managing teams in a growing companyTranscriptAlessio [00:00:00]: Hey everyone, welcome to the Latent Space podcast. This is Alessio, partner and CTO at Decibel Partners, and there's no Swyx today, but I'm joined by Drew Houston of Dropbox. Welcome, Drew.Drew [00:00:14]: Thanks for having me.Alessio [00:00:15]: So we're not going to talk about the Dropbox story. We're not going to talk about the Chinatown bus and the flash drive and all that. I think you've talked enough about it. Where I want to start is you as an AI engineer. So as you know, most of our audience is engineering folks, kind of like technology leaders. You obviously run Dropbox, which is a huge company, but you also do a lot of coding. I think that's how you spend almost 400 hours, just like coding. So let's start there. What was the first interaction you had with an LLM API and when did the journey start for you?Drew [00:00:43]: Yeah. Well, I think probably all AI engineers or whatever you call an AI engineer, those people started out as engineers before that. So engineering is my first love. I mean, I grew up as a little kid. I was that kid. My first line of code was at five years old. I just really loved, I wanted to make computer games, like this whole path. That also led me into startups and eventually starting Dropbox. And then with AI specifically, I studied computer science, I got my, I did my undergrad, but I didn't do like grad level computer science. I didn't, I sort of got distracted by all the startup things, so I didn't do grad level work. But about several years ago, I made a couple of things. So one is I sort of, I knew I wanted to go from being an engineer to a founder. And then, but sort of the becoming a CEO part was sort of backed into the job. And so a couple of realizations. One is that, I mean, there's a lot of like repetitive and like manual work you have to do as an executive that is actually lends itself pretty well to automation, both for like my own convenience. And then out of interest in learning, I guess what we call like classical machine learning these days, I started really trying to wrap my head around understanding machine learning and informational retrieval more, more formally. So I'd say maybe 2016, 2017 started me writing these more successively, more elaborate scripts to like understand basic like classifiers and regression and, and again, like basic information retrieval and NLP back in those days. And there's sort of like two things that came out of that. One is techniques are super powerful. And even just like studying like old school machine learning was a pretty big inversion of the way I had learned engineering, right? You know, I started programming when everyone starts programming and you're, you're sort of the human, you're giving an algorithm to the, and spelling out to the computer how it should run it. And then machine learning, here's machine learning where it's like actually flip that, like give it sort of the answer you want and it'll figure out the algorithm, which was pretty mind bending. And it was both like pretty powerful when I would write tools, like figure out like time audits or like, where's my time going? Is this meeting a one-on-one or is it a recruiting thing or is it a product strategy thing? I started out doing that manually with my assistant, but then found that this was like a very like automatable task. And so, which also had the side effect of teaching me a lot about machine learning. But then there was this big problem, like anytime you, it was very good at like tabular structured data, but like anytime it hit, you know, the usual malformed English that humans speak, it would just like fall over. I had to kind of abandon a lot of the things that I wanted to build because like there's no way to like parse text. Like maybe it would sort of identify the part of speech in a sentence or something. But then fast forward to the LLM, I mean actually I started trying some of like this, what we would call like very small LLMs before kind of the GPT class models. And it was like super hard to get those things working. So like these 500 parameter models would just be like hallucinating and repeating and you know. So actually I'd kind of like written it off a little bit. But then the chat GPT launch and GPT-3 for sure. And then once people figured out like prompting and instruction tuning, this was sort of like November-ish 2022 like everybody else sort of that the chat GPT launch being the starting gun for the whole AI era of computing and then having API access to three and then early access to GPT-4. I was like, oh man, it's happening. And so I was literally on my honeymoon and we're like on a beach in Thailand and I'm like coding these like AI tools to automate like writing or to assist with writing and all these different use cases.Alessio [00:04:14]: You're like, I'm never going back to work. I'm going to automate all of it before I get back.Drew [00:04:17]: And I was just, you know, ever since then, I mean, I've always been like coding like prototypes and just stuff to make my life more convenient, but like escalated a lot after 22. And yeah, I spent, I checked, I think it was probably like over 400 hours this year so far coding because I had my paternity leave where I was able to work on some special projects. But yeah, it's a super important part of like my whole learning journey is like being really hands-on with these things. And I mean, it's probably not a typical recipe, but I really love to get down to the metal as far as how this stuff works.Alessio [00:04:47]: Yeah. So Swyx and I were with Sam Altman in October 22. We were like at a hack day at OpenAI and that's why we started this podcast eventually. But you did an interview with Sam like seven years ago and he asked you what's the biggest opportunity in startups and you were like machine learning and AI and you were almost like too early, right? It's like maybe seven years ago, the models weren't quite there. How should people think about revalidating like expectations of this technology? You know, I think even today people will tell you, oh, models are not really good at X because they were not good 12 months ago, but they're good today.Drew [00:05:19]: What's your project? Heuristics for thinking about that or how is, yeah, I think the way I look at it now is pretty, has evolved a lot since when I started. I mean, I think everybody intuitively starts with like, all right, let's try to predict the future or imagine like what's this great end state we're going to get to. And the tricky thing is like often those prognostications are right, but they're right in terms of direction, but not when. For example, you know, even in the early days of the internet, 90s when things were even like tech space and you know, even before like the browser or things like that, people were like, oh man, you're going to have, you know, you're going to be able to order food, get like a Snickers delivered to your house, you're going to be able to watch any movie ever created. And they were right. But they were like, you know, it took 20 years for that to actually happen. And before you got to DoorDash, you had to get, you started with like Webvan and Cosmo and before you get to Spotify, you had to do like Napster and Kazaa and LimeWire and like a bunch of like broken Britney Spears MP3s and malware. So I think the big lesson is being early is the same as being wrong. Being late is the same as being wrong. So really how do you calibrate timing? And then I think with AI, it's the same thing that people are like, oh, it's going to completely upend society and all these positive and negative ways. I think that's like most of those things are going to come true. The question is like, when is that going to happen? And then with AI specifically, I think there's also, in addition to sort of the general tech category or like jumping too fast to the future, I think that AI is particularly susceptible to that. And you look at self-driving, right? This idea of like, oh my God, you can have a self-driving car captured everybody's imaginations 10, 12 years ago. And you know, people are like, oh man, in two years, there's not going to be another year. There's not going to be a human driver on the road to be seen. It didn't work out that way, right? We're still 10, 12 years later where we're in a world where you can sort of sometimes get a Waymo in like one city on earth. Exciting, but just took a lot longer than people think. And the reason is there's a lot of engineering challenges, but then there's a lot of other like societal time constants that are hard to compress. So one thing I think you can learn from things like self-driving is they have these levels of autonomy that's a useful kind of framework in driving or these like maturity levels. People sort of skip to like level five, full autonomy, or we're going to have like an autonomous knowledge worker that's just going to take, that's going to, and then we won't need humans anymore kind of projection that that's going to take a long time. But then when you think about level one or level two, like these little assistive experiences, you know, we're seeing a lot of traction with those. So what you see really working is the level one autonomy in the AI world would be like the tab auto-complete and co-pilot, right? And then, you know, maybe a little higher is like the chatbot type interface. Obviously you want to get to the highest level you can to build a good product, but the reliability just isn't, and the capability just isn't there in the early innings. And so, and then you think of other level one, level two type things, like Google Maps probably did more for self-driving than in literal self-driving, like a billion people have like the ability to have like maps and navigation just like taken care of for you autonomously. So I think the timing and maturity are really important factors to include.Alessio [00:08:23]: The thing with self-driving, maybe one of the big breakthroughs was like simulation. So it's like, okay, instead of driving, we can simulate these environments. It's really hard to do when knowledge work, you know, how do you simulate like a product review? How do you simulate these things? I'm curious if you've done any experiments. I know some companies have started to build kind of like a virtual personas that you can like bounce ideas off of.Drew [00:08:42]: I mean, fortunately in a company you generate lots of, you know, actual human training data all the time. And then I also just like start with myself, like, all right, I can, you know, it's pretty tricky even within your company to be like, all right, let's open all this up as quote training data. But, you know, I can start with my own emails or my own calendar or own stuff without running into the same kind of like privacy or other concerns. So I often like start with my own stuff. And so that is like a one level of bootstrapping, but actually four or five years ago during COVID, we decided, you know, a lot of companies were thinking about how do we go back to work? And so we decided to really lean into remote and distributed work because I thought, you know, this is going to be the biggest change to the way we work in our lifetimes. And COVID kind of ripped up a bunch of things, but I think everybody was sort of pleasantly surprised how with a lot of knowledge work, you could just keep going. And actually you were sort of fine. Work was decoupled from your physical environment, from being in a physical place, which meant that things people had dreamed about since the fifties or sixties, like telework, like you actually could work from anywhere. And that was now possible. So we decided to really lean into that because we debated, should we sort of hit the fast forward button or should we hit the rewind button and go back to 2019? And obviously that's been playing out over the last few years. And we decided to basically turn, we went like 90% remote. We still, the in-person part's really important. We can kind of come back to our working model, but we're like, yeah, this is, everybody is going to be in some kind of like distributed or hybrid state. So like instead of like running away from this, like let's do a full send, let's really go into it. Let's live in the future. A few years before our customers, let's like turn Dropbox into a lab for distributed work. And we do that like quite literally, both of the working model and then increasingly with our products. And then absolutely, like we have products like Dropbox Dash, which is our universal search product. That was like very elevated in priority for me after COVID because like now you have, we're putting a lot more stress on the system and on our screens, it's a lot more chaotic and overwhelming. And so even just like getting the right information, the right person at the right time is a big fundamental challenge in knowledge work and these, in the distributed world, like big problem today is still getting, you know, has been getting bigger. And then for a lot of these other workflows, yeah, there's, we can both get a lot of natural like training data from just our own like strategy docs and processes. There's obviously a lot you can do with synthetic data and you know, actually like LMs are pretty good at being like imitating generic knowledge workers. So it's, it's kind of funny that way, but yeah, the way I look at it is like really turn Dropbox into a lab for distributed work. You think about things like what are the big problems we're going to have? It's just the complexity on our screens just keeps growing and the whole environment gets kind of more out of sync with what makes us like cognitively productive and engaged. And then even something like Dash was initially seeded, I made a little personal search engine because I was just like personally frustrated with not being able to find my stuff. And along that whole learning journey with AI, like the vector search or semantic search, things like that had just been the tooling for that. The open source stuff had finally gotten to a place where it was a pretty good developer experience. And so, you know, in a few days I had sort of a hello world type search engine and I'm like, oh my God, like this completely works. You don't even have to get the keywords right. The relevance and ranking is super good. We even like untuned. So I guess that's to say like I've been surprised by if you choose like the right algorithm and the right approach, you can actually get like super good results without having like a ton of data. And even with LLMs, you can apply all these other techniques to give them, kind of bootstrap kind of like task maturity pretty quickly.Alessio [00:12:14]: Before we jump into Dash, let's talk about the Drew Haas and AI engineering stuff. So IDE, let's break that down. What IDE do you use? Do you use Cursor, VS Code, do you use any coding assistant, like WeChat, is it just autocomplete?Drew [00:12:28]: Yeah, yeah. Both. So I use VS Code as like my daily driver, although I'm like super excited about things like Cursor or the AI agents. I have my own like stack underneath that. I mean, some off the shelf parts, some pretty custom. So I use the continue.dev just like AI chat UI basically as just the UI layer, but I also proxy the request. I proxy the request to my own backend, which is sort of like a router. You can use any backend. I mean, Sonnet 3.5 is probably the best all around. But then these things are like pretty limited if you don't give them the right context. And so part of what the proxy does is like there's a separate thing where I can say like include all these files by default with the request. And then it becomes a lot easier and like without like cutting and pasting. And I'm building mostly like prototype toy apps, so it's like a front end React thing and a Python backend thing. And so it can do these like end to end diffs basically. And then I also like love being able to host everything locally or do it offline. So I have my own, when I'm on a plane or something or where like you don't have access or the internet's not reliable, I actually bring a gaming laptop on the plane with me. It's like a little like blue briefcase looking thing. And then I like literally hook up a GPU like into one of the outlets. And then I have, I can do like transcription, I can do like autocomplete, like I have an 8 billion, like Llama will run fine.Alessio [00:13:44]: And you're using like a Llama to run the model?Drew [00:13:47]: No, I use, I have my own like LLM inference stack. I mean, it uses the backend somewhat interchangeable. So everything from like XLlama to VLLM or SGLang, there's a bunch of these different backends you can use. And then I started like working on stuff before all this tooling was like really available. So you know, over the last several years, I've built like my own like whole crazy environment and like in stack here. So I'm a little nuts about it.Alessio [00:14:12]: Yeah. What's the state of the art for, I guess not state of the art, but like when it comes to like frameworks and things like that, do you like using them? I think maybe a lot of people say, hey, things change so quickly, they're like trying to abstract things. Yeah.Drew [00:14:24]: It's maybe too early today. As much as I do a lot of coding, I have to be pretty surgical with my time. I don't have that much time, which means I have to sort of like scope my innovation to like very specific places or like my time. So for the front end, it'll be like a pretty vanilla stack, like a Next.js, React based thing. And then these are toy apps. So it's like Python, Flask, SQLite, and then all the different, there's a whole other thing on like the backend. Like how do you get, sort of run all these models locally or with a local GPU? The scaffolding on the front end is pretty straightforward, the scaffolding on the backend is pretty straightforward. Then a lot of it is just like the LLM inference and control over like fine grained aspects of how you do generation, caching, things like that. And then there's a lot, like a lot of the work is how do you take, sort of go to an IMAP, like take an email, get a new, or a document or a spreadsheet or any of these kinds of primitives that you work with and then translate them, render them in a format that an LLM can understand. So there's like a lot of work that goes into that too. Yeah.Alessio [00:15:24]: So I built a kind of like email triage system and like I would say 80% of the code is like Google and like pulling emails and then the actual AI part is pretty easy.Drew [00:15:34]: Yeah. And even, same experience. And then I tried to do all these like NLP things and then to my dismay, like a bunch of reg Xs were like, got you like 95% of the way there. So I still leave it running, I just haven't really built like the LLM powered version of it yet. Yeah.Alessio [00:15:51]: So do you have any thoughts on rag versus long context, especially, I mean with Dropbox, you know? Sure. Do you just want to shove things in? Like have you seen that be a lot better?Drew [00:15:59]: Well, they kind of have different strengths and weaknesses, so you need both for different use cases. I mean, it's been awesome in the last 12 months, like now you have these like long context models that can actually do a lot. You can put a book in, you know, Sonnet's context and then now with the later versions of LLAMA, you can have 128k context. So that's sort of the new normal, which is awesome and that, that wasn't even the case a year ago. That said, models don't always use, and certainly like local models don't use the full context well fully yet, and actually if you provide too much irrelevant context, the quality degrades a lot. And so I say in the open source world, like we're still just getting to the cusp of like the full context is usable. And then of course, like when you're something like Dropbox Dash, like it's basically building this whole like brain that's like read everything your company's ever written. And so that's not going to fit into your context window, so you need rag just as a practical reality. And even for a lot of similar reasons, you need like RAM and hard disk in conventional computer architecture. And I think these things will keep like horse trading, like maybe if, you know, a million or 10 million is the new, tokens is the new context length, maybe that shifts. Maybe the bigger picture is like, it's super exciting to talk about the LLM and like that piece of the puzzle, but there's this whole other scaffolding of more conventional like retrieval or conventional machine learning, especially because you have to scale up products to like millions of people you do in your toy app is not going to scale to that from a cost or latency or performance standpoint. So I think you really need these like hybrid architectures that where you have very like purpose fit tools, or you're probably not using Sonnet 3.5 for all of your normal product use cases. You're going to use like a fine tuned 8 billion model or sort of the minimum model that gets you the right output. And then a smaller model also is like a lot more cost and latency versus like much better characteristics on that front.Alessio [00:17:48]: Yeah. Let's jump into the Dropbox AI story. So sure. Your initial prototype was Files GPT. How did it start? And then how did you communicate that internally? You know, I know you have a pretty strong like mammal culture. One where you're like, okay, Hey, we got to really take this seriously.Drew [00:18:06]: Yeah. Well, on the latter, it was, so how do we say like how we took Dropbox, how AI seriously as a company started kind of around that time, that honeymoon time, unfortunately. In January, I wrote this like memo to the company, like around basically like how we need to play offense in 23. And that most of the time the kind of concrete is set and like the winners are the winners and things are kind of frozen. But then with these new eras of computing, like the PC or the internet or the phone or the concrete on freezes and you can sort of build, do things differently and have a new set of winners. It's sort of like a new season starts as a result of a lot of that sort of personal hacking and just like thinking about this. I'm like, yeah, this is an inflection point in the industry. Like we really need to change how we think about our strategy. And then becoming an AI first company was probably the headline thing that we did. And then, and then that got, and then calling on everybody in the company to really think about in your world, how is AI going to reshape your workflows or what sort of the AI native way of thinking about your job. File GPT, which is sort of this Dropbox AI kind of initial concept that actually came from our engineering team as, you know, as we like called on everybody, like really think about what we should be doing that's new or different. So it was kind of organic and bottoms up like a bunch of engineers just kind of hacked that together. And then that materialized as basically when you preview a file on Dropbox, you can have kind of the most straightforward possible integration of AI, which is a good thing. Like basically you have a long PDF, you want to be able to ask questions of it. So like a pretty basic implementation of RAG and being able to do that when you preview a file on Dropbox. So that was the origin of that, that was like back in 2023 when we released just like the starting engines had just, you know, gotten going.Alessio [00:19:53]: It's funny where you're basically like these files that people have, they really don't want them in a way, you know, like you're storing all these files and like you actually don't want to interact with them. You want a layer on top of it. And that's kind of what also takes you to Dash eventually, which is like, Hey, you actually don't really care where the file is. You just want to be the place that aggregates it. How do you think about what people will know about files? You know, are files the actual file? Are files like the metadata and they're just kind of like a pointer that goes somewhere and you don't really care where it is?Drew [00:20:21]: Yeah.Alessio [00:20:22]: Any thoughts about?Drew [00:20:23]: Totally. Yeah. I mean, there's a lot of potential complexity in that question, right? Is it a, you know, what's the difference between a file and a URL? And you can go into the technicals, it's like pass by value, pass by reference. Okay. What's the format like? All right. So it starts with a primitive. It's not really a flat file. It's like a structured data. You're sort of collaborative. Yeah. That's keeping in sync. Blah, blah, blah. I actually don't start there at all. I just start with like, what do people, like, what do humans, let's work back from like how humans think about this stuff or how they should think about this stuff. Meaning like, I don't think about, Oh, here are my files and here are my links or cloud docs. I'm just sort of like, Oh, here's my stuff. This, this, here's sort of my documents. Here's my media. Here's my projects. Here are the people I'm working with. So it starts from primitives more like those, like how do people, how do humans think about these things? And then, then start from like a more ideal experience. Because if you think about it, we kind of have this situation that will look like particularly medieval in hindsight where, all right, how do you manage your work stuff? Well, on all, you know, on one side of your screen, you have this file browser that literally hasn't changed since the early eighties, right? You could take someone from the original Mac and sit them in front of like a computer and they'd be like, this is it. And that's, it's been 40 years, right? Then on the other side of your screen, you have like Chrome or a browser that has so many tabs open, you can no longer see text or titles. This is the state of the art for how we manage stuff at work. Interestingly, neither of those experiences was purpose-built to be like the home for your work stuff or even anything related to it. And so it's important to remember, we get like stuck in these local maxima pretty often in tech where we're obviously aware that files are not going away, especially in certain domains. So that format really matters and where files are still going to be the tool you use for like if there's something big, right? If you're a big video file, that kind of format in a file makes sense. There's a bunch of industries where it's like construction or architecture or sort of these domain specific areas, you know, media generally, if you're making music or photos or video, that all kind of fits in the big file zone where Dropbox is really strong and that's like what customers love us for. It's also pretty obvious that a lot of stuff that used to be in, you know, Word docs or Excel files, like all that has tilted towards the browser and that tilt is going to continue. So with Dash, we wanted to make something that was really like cloud-native, AI-native and deliberately like not be tied down to the abstractions of the file system. Now on the other hand, it would be like ironic and bad if we then like fractured the experience that you're like, well, if it touches a file, it's a syncing metaphor to this app. And if it's a URL, it's like this completely different interface. So there's a convergence that I think makes sense over time. But you know, but I think you have to start from like, not so much the technology, start from like, what do the humans want? And then like, what's the idealized product experience? And then like, what are the technical underpinnings of that, that can make that good experience?Alessio [00:23:20]: I think it's kind of intuitive that in Dash, you can connect Google Drive, right? Because you think about Dropbox, it's like, well, it's file storage, you really don't want people to store files somewhere, but the reality is that they do. How do you think about the importance of storage and like, do you kind of feel storage is like almost solved, where it's like, hey, you can kind of store these files anywhere, what matters is like access.Drew [00:23:38]: It's a little bit nuanced in that if you're dealing with like large quantities of data, it actually does matter. The implementation matters a lot or like you're dealing with like, you know, 10 gig video files like that, then you sort of inherit all the problems of sync and have to go into a lot of the challenges that we've solved. Switching on a pretty important question, like what is the value we provide? What does Dropbox do? And probably like most people, I would have said like, well, Dropbox syncs your files. And we didn't even really have a mission of the company in the beginning. I'm just like, yeah, I just don't want to carry a thumb driving around and life would be a lot better if our stuff just like lived in the cloud and I just didn't have to think about like, what device is the thing on or what operating, why are these operating systems fighting with each other and incompatible? You know, I just want to abstract all of that away. But then so we thought, even we were like, all right, Dropbox provides storage. But when we talked to our customers, they're like, that's not how we see this at all. Like actually, Dropbox is not just like a hard drive in the cloud. It's like the place where I go to work or it's a place like I started a small business is a place where my dreams come true. Or it's like, yeah, it's not keeping files in sync. It's keeping people in sync. It's keeping my team in sync. And so they're using this kind of language where we're like, wait, okay, yeah, because I don't know, storage probably is a commodity or what we do is a commodity. But then we talked to our customers like, no, we're not buying the storage, we're buying like the ability to access all of our stuff in one place. We're buying the ability to share everything and sort of, in a lot of ways, people are buying the ability to work from anywhere. And Dropbox was kind of, the fact that it was like file syncing was an implementation detail of this higher order need that they had. So I think that's where we start too, which is like, what is the sort of higher order thing, the job the customer is hiring Dropbox to do? Storage in the new world is kind of incidental to that. I mean, it still matters for things like video or those kinds of workflows. The value of Dropbox had never been, we provide you like the cheapest bits in the cloud. But it is a big pivot from Dropbox is the company that syncs your files to now where we're going is Dropbox is the company that kind of helps you organize all your cloud content. I started the company because I kept forgetting my thumb drive. But the question I was really asking was like, why is it so hard to like find my stuff, organize my stuff, share my stuff, keep my stuff safe? You know, I'm always like one washing machine and I would leave like my little thumb drive with all my prior company stuff on in the pocket of my shorts and then almost wash it and destroy it. And so I was like, why do we have to, this is like medieval that we have to think about this. So that same mindset is how I approach where we're going. But I think, and then unfortunately the, we're sort of back to the same problems. Like it's really hard to find my stuff. It's really hard to organize myself. It's hard to share my stuff. It's hard to secure my content at work. Now the problem is the same, the shape of the problem and the shape of the solution is pretty different. You know, instead of a hundred files on your desktop, it's now a hundred tabs in your browser, et cetera. But I think that's the starting point.Alessio [00:26:30]: How has the idea of a product evolved for you? So, you know, famously Steve Jobs started by Dropbox and he's like, you know, this is just a feature. It's not a product. And then you build like a $10 billion feature. How in the age of AI, how do you think about, you know, maybe things that used to be a product are now features because the AI on top of it, it's like the product, like what's your mental model? Do you think about it?Drew [00:26:50]: Yeah. So I don't think there's really like a bright line. I don't know if like I use the word features and products and my mental model that much of how I break it down because it's kind of a, it's a good question. I mean, I don't not think about features, I don't think about products, but it does start from that place of like, all right, we have all these new colors we can paint with and all right, what are these higher order needs that are sort of evergreen, right? So people will always have stuff at work. They're always need to be able to find it or, you know, all the verbs I just mentioned. It's like, okay, how can we make like a better painting and how can we, and then how can we use some of these new colors? And then, yeah, it's like pretty clear that after the large models, the way you find stuff share stuff, it's going to be completely different after COVID, it's going to be completely different. So that's the starting point. But I think it is also important to, you know, you have to do more than just work back from the customer and like what they're trying to do. Like you have to think about, and you know, we've, we've learned a lot of this the hard way sometimes. Okay. You might start with a customer. You might start with a job to be on there. You're like, all right, what's the solution to their problem? Or like, can we build the best product that solves that problem? Right. Like what's the best way to find your stuff in the modern world? Like, well, yeah, right now the status quo for the vast majority of the billion, billion knowledge workers is they have like 10 search boxes at work that each search 10% of your stuff. Like that's clearly broken. Obviously you should just have like one search box. All right. So we can do that. And that also has to be like, I'll come back to defensibility in a second, but like, can we build the right solution that is like meaningfully better from the status quo? Like, yes, clearly. Okay. Then can we like get distribution and growth? Like that's sort of the next thing you learned is as a founder, you start with like, what's the product? What's the product? What's the product? Then you're like, wait, wait, we need distribution and we need a business model. So those are the next kind of two dominoes you have to knock down or sort of needles you have to thread at the same time. So all right, how do we grow? I mean, if Dropbox 1.0 is really this like self-serve viral model that there's a lot of, we sort of took a borrowed from a lot of the consumer internet playbook and like what Facebook and social media were doing and then translated that to sort of the business world. How do you get distribution, especially as a startup? And then a business model, like, all right, storage happened to be something in the beginning happened to be something people were willing to pay for. They recognize that, you know, okay, if I don't buy something like Dropbox, I'm going to have to buy an external hard drive. I'm going to have to buy a thumb drive and I have to pay for something one way or another. People are already paying for things like backup. So we felt good about that. But then the last domino is like defensibility. Okay. So you build this product or you get the business model, but then, you know, what do you do when the incumbents, the next chess move for them is I just like copy, bundle, kill. So they're going to copy your product. They'll bundle it with their platforms and they'll like give it away for free or no added cost. And, you know, we had a lot of, you know, scar tissue from being on the wrong side of that. Now you don't need to solve all four for all four or five variables or whatever at once or you can sort of have, you know, some flexibility. But the more of those gates that you get through, you sort of add a 10 X to your valuation. And so with AI, I think, you know, there's been a lot of focus on the large language model, but it's like large language models are a pretty bad business from a, you know, you sort of take off your tech lens and just sort of business lens. Like there's sort of this weirdly self-commoditizing thing where, you know, models only have value if they're kind of on this like Pareto frontier of size and quality and cost. Being number two, you know, if you're not on that frontier, the second the frontier moves out, which it moves out every week, like your model literally has zero economic value because it's dominated by the new thing. LLMs generate output that can be used to train or improve. So there's weird, peculiar things that are specific to the large language model. And then you have to like be like, all right, where's the value going to accrue in the stack or the value chain? And, you know, certainly at the bottom with Nvidia and the semiconductor companies, and then it's going to be at the top, like the people who have the customer relationship who have the application layer. Those are a few of the like lenses that I look at a question like that through.Alessio [00:30:48]: Do you think AI is making people more careful about sharing the data at all? People are like, oh, data is important, but it's like, whatever, I'm just throwing it out there. Now everybody's like, but are you going to train on my data? And like your data is actually not that good to train on anyway. But like how have you seen, especially customers, like think about what to put in, what to not?Drew [00:31:06]: I mean, everybody should be. Well, everybody is concerned about this and nobody should be concerned about this, right? Because nobody wants their personal companies information to be kind of ground up into little pellets to like sell you ads or train the next foundation model. I think it's like massively top of mind for every one of our customers, like, and me personally, and with my Dropbox hat on, it's like so fundamental. And, you know, we had experience with this too at Dropbox 1.0, the same kind of resistance, like, wait, I'm going to take my stuff on my hard drive and put it on your server somewhere. Are you serious? What could possibly go wrong? And you know, before that, I was like, wait, are you going to sell me, I'm going to put my credit card number into this website? And before that, I was like, hey, I'm going to take all my cash and put it in a bank instead of under my mattress. You know, so there's a long history of like tech and comfort. So in some sense, AI is kind of another round of the same thing, but the issues are real. And then when I think about like defensibility for Dropbox, like that's actually a big advantage that we have is one, our incentives are very aligned with our customers, right? We only get, we only make money if you pay us and you only pay us if we do a good job. So we don't have any like side hustle, you know, we're not training the next foundation model. You know, we're not trying to sell you ads. Actually we're not even trying to lock you into an ecosystem, like the whole point of Dropbox is it works, you know, everywhere. Because I think one of the big questions we've circling around is sort of like, in the world of AI, where should our lane be? Like every startup has to ask, or in every big company has to ask, like, where can we really win? But to me, it was like a lot of the like trust advantages, platform agnostic, having like a very clean business model, not having these other incentives. And then we also are like super transparent. We were transparent early on. We're like, all right, we're going to establish these AI principles, very table stakes stuff of like, here's transparency. We want to give people control. We want to cover privacy, safety, bias, like fairness, all these things. And we put that out up front to put some sort of explicit guardrails out where like, hey, we're, you know, because everybody wants like a trusted partner as they sort of go into the wild world of AI. And then, you know, you also see people cutting corners and, you know, or just there's a lot of uncertainty or, you know, moving the pieces around after the fact, which no one feels good about.Alessio [00:33:14]: I mean, I would say the last 10, 15 years, the race was kind of being the system of record, being the storage provider. I think today it's almost like, hey, if I can use Dash to like access my Google Drive file, why would I pay Google for like their AI feature? So like vice versa, you know, if I can connect my Dropbook storage to this other AI assistant, how do you kind of think about that, about, you know, not being able to capture all the value and how open people will stay? I think today things are still pretty open, but I'm curious if you think things will get more closed or like more open later.Drew [00:33:42]: Yeah. Well, I think you have to get the value exchange right. And I think you have to be like a trustworthy partner or like no one's going to partner with you if they think you're going to eat their lunch, right? Or if you're going to disintermediate them and like all the companies are quite sophisticated with how they think about that. So we try to, like, we know that's going to be the reality. So we're actually not trying to eat anyone's like Google Drive's lunch or anything. Actually we'll like integrate with Google Drive, we'll integrate with OneDrive, really any of the content platforms, even if they compete with file syncing. So that's actually a big strategic shift. We're not really reliant on being like the store of record and there are pros and cons to this decision. But if you think about it, we're basically like providing all these apps more engagement. We're like helping users do what they're really trying to do, which is to get, you know, that Google Doc or whatever. And we're not trying to be like, oh, by the way, use this other thing. This is all part of our like brand reputation. It's like, no, we give people freedom to use whatever tools or operating system they want. We're not taking anything away from our partners. We're actually like making it, making their thing more useful or routing people to those things. I mean, on the margin, then we have something like, well, okay, to the extent you do rag and summarize things, maybe that doesn't generate a click. Okay. You know, we also know there's like infinity investment going into like the work agents. So we're not really building like a co-pilot or Gemini competitor. Not because we don't like those. We don't find that thing like captivating. Yeah, of course. But just like, you know, you learn after some time in this business that like, yeah, there's some places that are just going to be such kind of red oceans or just like super big battlefields. Everybody's kind of trying to solve the same problem and they just start duplicating all each other effort. And then meanwhile, you know, I think the concern would be is like, well, there's all these other problems that aren't being properly addressed by AI. And I was concerned that like, yeah, and everybody's like fixated on the agent or the chatbot interface, but forgetting that like, hey guys, like we have the opportunity to like really fix search or build a self-organizing Dropbox or environment or there's all these other things that can be a compliment. Because we don't really want our customers to be thinking like, well, do I use Dash or do I use co-pilot? And frankly, none of them do. In a lot of ways, actually, some of the things that we do on the security front with Dash for Business are a good compliment to co-pilot. Because as part of Dash for Business, we actually give admins, IT, like universal visibility and control over all the different, what's being shared in your company across all these different platforms. And as a precondition to installing something like co-pilot or Dash or Glean or any of these other things, right? You know, IT wants to know like, hey, before we like turn all the lights in here, like let's do a little cleaning first before we let everybody in. And there just haven't been good tools to do that. And post AI, you would do it completely differently. And so that's like a big, that's a cornerstone of what we do and what sets us apart from these tools. And actually, in a lot of cases, we will help those tools be adopted because we actually help them do it safely. Yeah.Alessio [00:36:27]: How do you think about building for AI versus people? It's like when you mentioned cleaning up is because maybe before you were like, well, humans can have some common sense when they look at data on what to pick versus models are just kind of like ingesting. Do you think about building products differently, knowing that a lot of the data will actually be consumed by LLMs and like agents and whatnot versus like just people?Drew [00:36:46]: I think it'll always be, I aim a little bit more for like, you know, level three, level four kind of automation, because even if the LLM is like capable of completely autonomously organizing your environment, it probably would do a reasonable job. But like, I think you build bad UI when the sort of user has to fit itself to the computer versus something that you're, you know, it's like an instrument you're playing or something where you have some kind of good partnership. And you know, and on the other side, you don't have to do all this like manual effort. And so like the command line was sort of subsumed by like, you know, graphical UI. We'll keep toggling back and forth. Maybe chat will be, chat will be an increasing, especially when you bring in voice, like will be an increasing part of the puzzle. But I don't think we're going to go back to like a million command lines either. And then as far as like the sort of plumbing of like, well, is this going to be consumed by an LLM or a human? Like fortunately, like you don't really have to design it that differently. I mean, you have to make sure everything's legible to the LLM, but it's like quite tolerant of, you know, malformed everything. And actually the more, the easier it makes something to read for a human, the easier it is for an LLM to read to some extent as well. But we really think about what's that kind of right, how do we build that right, like human machine interface where you're still in control and driving, but then it's super easy to translate your intent into like the, you know, however you want your folder, setting your environment set up or like your preferences.Alessio [00:38:05]: What's the most underrated thing about Dropbox that maybe people don't appreciate?Drew [00:38:09]: Well, I think this is just such a natural evolution for us. It's pretty true. Like when people think about the world of AI, file syncing is not like the next thing you would auto complete mentally. And I think we also did like our first thing so well that there were a lot of benefits to that. But I think there also are like, we hit it so hard with our first product that it was like pretty tough to come up with a sequel. And we had a bit of a sophomore slump and you know, I think actually a lot of kids do use Dropbox through in high school or things like that, but you know, they're not, they're using, they're a lot more in the browser and then their file system, right. And we know all this, but still like we're super well positioned to like help a new generation of people with these fundamental problems and these like that affect, you know, a billion knowledge workers around just finding, organizing, sharing your stuff and keeping it safe. And there's, there's a ton of unsolved problems in those four verbs. We've talked about search a little bit, but just even think about like a whole new generation of people like growing up without the ability to like organize their things and yeah, search is great. And if you just have like a giant infinite pile of stuff, then search does make that more manageable. But you know, you do lose some things that were pretty helpful in prior decades, right? So even just the idea of persistence, stuff still being there when you come back, like when I go to sleep and wake up, my physical papers are still on my desk. When I reboot my computer, the files are still on my hard drive. But then when in my browser, like if my operating system updates the wrong way and closes the browser or if I just more commonly just declared tab bankruptcy, it's like your whole workspace just clears itself out and starts from zero. And you're like, on what planet is this a good idea? There's no like concept of like, oh, here's the stuff I was working on. Yeah, let me get back to it. And so that's like a big motivation for things like Dash. Huge problems with sharing, right? If I'm remodeling my house or if I'm getting ready for a board meeting, you know, what do I do if I have a Google doc and an air table and a 10 gig 4k video? There's no collection that holds mixed format things. And so it's another kind of hidden problem, hidden in plain sight, like he's missing primitives. Files have folders, songs have playlists, links have, you know, there's no, somehow we miss that. And so we're building that with stacks in Dash where it's like a mixed format, smart collection that you can then, you know, just share whatever you need internally, externally and have it be like a really well designed experience and platform agnostic and not tying you to any one ecosystem. We're super excited about that. You know, we talked a little bit about security in the modern world, like IT signs all these compliance documents, but in reality has no way of knowing where anything is or what's being shared. It's actually better for them to not know about it than to know about it and not be able to do anything about it. And when we talked to customers, we found that there were like literally people in IT whose jobs it is to like manually go through, log into each, like log into office, log into workspace, log into each tool and like go comb through one by one the links that people have shared and like unshares. There's like an unshare guy in all these companies and that that job is probably about as fun as it sounds like, my God. So there's, you know, fortunately, I guess what makes technology a good business is for every problem it solves, it like creates a new one, so there's always like a sequel that you need. And so, you know, I think the happy version of our Act 2 is kind of similar to Netflix. I look at a lot of these companies that really had multiple acts and Netflix had the vision to be streaming from the beginning, but broadband and everything wasn't ready for it. So they started by mailing you DVDs, but then went to streaming and then, but the value probably the whole time was just like, let me press play on something I want to see. And they did a really good job about bringing people along from the DVD mailing off. You would think like, oh, the DVD mailing piece is like this burning platform or it's like legacy, you know, ankle weight. And they did have some false starts in that transition. But when you really think about it, they were able to take that DVD mailing audience, move, like migrate them to streaming and actually bootstrap a, you know, take their season one people and bootstrap a victory in season two, because they already had, you know, they weren't starting from scratch. And like both of those worlds were like super easy to sort of forget and be like, oh, it's all kind of destiny. But like, no, that was like an incredibly competitive environment. And Netflix did a great job of like activating their Act 1 advantages and winning in Act 2 because of it. So I don't think people see Dropbox that way. I think people are sort of thinking about us just in terms of our Act 1 and they're like, yeah, Dropbox is fine. I used to use it 10 years ago. But like, what have they done for me lately? And I don't blame them. So fortunately, we have like better and better answers to that question every year.Alessio [00:42:39]: And you call it like the silicon brain. So you see like Dash and Stacks being like the silicon brain interface, basically forDrew [00:42:46]: people. I mean, that's part of it. Yeah. And writ large, I mean, I think what's so exciting about AI and everybody's got their own kind of take on it, but if you like really zoom out civilizationally and like what allows humans to make progress and, you know, what sort of is above the fold in terms of what's really mattered. I certainly want to, I mean, there are a lot of points, but some that come to mind like you think about things like the industrial revolution, like before that, like mechanical energy, like the only way you could get it was like by your own hands, maybe an animal, maybe some like clever sort of machines or machines made of like wood or something. But you were quite like energy limited. And then suddenly, you know, the industrial revolution, things like electricity, it suddenly is like, all right, mechanical energy is now available on demand as a very fungible kind of, and then suddenly we consume a lot more of it. And then the standard of living goes way, way, way, way up. That's been pretty limited to the physical realm. And then I believe that the large models, that's really the first time we can kind of bottle up cognitive energy and offloaded, you know, if we started by offloading a lot of our mechanical or physical busy work to machines that freed us up to make a lot of progress in other areas. But then with AI and computing, we're like, now we can offload a lot more of our cognitive busy work to machines. And then we can create a lot more of it. Price of it goes way down. Importantly, like, it's not like humans never did anything physical again. It's sort of like, no, but we're more leveraged. We can move a lot more earth with a bulldozer than a shovel. And so that's like what is at the most fundamental level, what's so exciting to me about AI. And so what's the silicon brain? It's like, well, we have our human brains and then we're going to have this other like half of our brain that's sort of coming online, like our silicon brain. And it's not like one or the other. They complement each other. They have very complimentary strengths and weaknesses. And that's, that's a good thing. There's also this weird tangent we've gone on as a species to like where knowledge work, knowledge workers have this like epidemic of, of burnout, great resignation, quiet quitting. And there's a lot going on there. But I think that's one of the biggest problems we have is that be like, people deserve like meaningful work and, you know, can't solve all of it. But like, and at least in knowledge work, there's a lot of own goals, you know, enforced errors that we're doing where it's like, you know, on one side with brain science, like we know what makes us like productive and fortunately it's also what makes us engaged. It's like when we can focus or when we're some kind of flow state, but then we go to work and then increasingly going to work is like going to a screen and you're like, if you wanted to design an environment that made it impossible to ever get into a flow state or ever be able to focus, like what we have is that. And that was the thing that just like seven, eight years ago just blew my mind. I'm just like, I cannot understand why like knowledge work is so jacked up on this adventure. It's like, we, we put ourselves in like the most cognitively polluted environment possible and we put so much more stress on the system when we're working remotely and things like that. And you know, all of these problems are just like going in the wrong direction. And I just, I just couldn't understand why this was like a problem that wasn't fixing itself. And I'm like, maybe there's something Dropbox can do with this and you know, things like Dash are the first step. But then, well, so like what, well, I mean, now like, well, why are humans in this like polluted state? It's like, well, we're just, all of the tools we have today, like this generation of tools just passes on all of the weight, the burden to the human, right? So it's like, here's a bajillion, you know, 80,000 unread emails, cool. Here's 25 unread Slack channels. Here's, we all get started like, it's like jittery like thinking about it. And then you look at that, you're like, wait, I'm looking at my phone, it says like 80,000 unread things. There's like no question, product question for which this is the right answer. Fortunately, that's why things like our silicon brain are pretty helpful because like they can serve as like an attention filter where it's like, actually, computers have no problem reading a million things. Humans can't do that, but computers can. And to some extent, this was already happening with computer, you know, Excel is an aversion of your silicon brain or, you know, you could draw the line arbitrarily. But with larger models, like now so many of these little subtasks and tasks we do at work can be like fully automated. And I think, you know, I think it's like an important metaphor to me because it mirrors a lot of what we saw with computing, computer architecture generally. It's like we started out with the CPU, very general purpose, then GPU came along much better at these like parallel computations. We talk a lot about like human versus machine being like substituting, it's like CPU, GPU, it's not like one is categorically better than the other, they're complements. Like if you have something really parallel, use a GPU, if not, use a CPU. The whole relationship, that symbiosis between CPU and GPU has obviously evolved a lot since, you know, playing Quake 2 or something. But right now we have like the human CPU doing a lot of, you know, silicon CPU tasks. And so you really have to like redesign the work thoughtfully such that, you know, probably not that different from how it's evolved in computer architecture, where the CPU is sort of an orchestrator of these really like heavy lifting GPU tasks. That dividing line does shift a little bit, you know, with every generation. And so I think we need to think about knowledge work in that context, like what are human brains good at? What's our silicon brain good at? Let's resegment the work. Let's offload all the stuff that can be automated. Let's go on a hunt for like anything that could save a human CPU cycle. Let's give it to the silicon one. And so I think we're at the early earnings of actually being able to do something about it.Alessio [00:48:00]: It's funny, I gave a talk to a few government people earlier this year with a similar point where we used to make machines to release human labor. And then the kilowatt hour was kind of like the unit for a lot of countries. And now you're doing the same thing with the brain and the data centers are kind of computational power plants, you know, they're kind of on demand tokens. You're on the board of Meta, which is the number one donor of Flops for the open source world. The thing about open source AI is like the model can be open source, but you need to carry a briefcase to actually maybe run a model that is not even that good compared to some of the big ones. How do you think about some of the differences in the open source ethos with like traditional software where it's like really easy to run and act on it versus like models where it's like it might be open source, but like I'm kind of limited, sort of can do with it?Drew [00:48:45]: Yeah, well, I think with every new era of computing, there's sort of a tug of war between is this going to be like an open one or a closed one? And, you know, there's pros and cons to both. It's not like open is always better or open always wins. But, you know, I think you look at how the mobile, like the PC era and the Internet era started out being more on the open side, like it's very modular. Everybody sort of party that everybody could, you know, come to some downsides of that security. But I think, you know, the advent of AI, I think there's a real question, like given the capital intensity of what it takes to train these foundation models, like are we going to live in a world where oligopoly or cartel or all, you know, there's a few companies that have the keys and we're all just like paying them rent. You know, that's one future. Or is it going to be more open and accessible? And I'm like super happy with how that's just I find it exciting on many levels with all the different hats I wear about it. You know, fortunately, you've seen in real life, yeah, even if people aren't bringing GPUs on a plane or something, you've seen like the price performance of these models improve 10 or 100x year over year, which is sort of like many Moore's laws compounded together for a bunch of reasons like that wouldn't have happened without open source. Right. You know, for a lot of same reasons, it's probably better that we can anyone can sort of spin up a website without having to buy an internet information server license like there was some alternative future. So like things are Linux and really good. And there was a good balance of trade to where like people contribute their code and then also benefit from the community returning the favor. I mean, you're seeing that with open source. So you wouldn't see all this like, you know, this flourishing of research and of just sort of the democratization of access to compute without open source. And so I think it's been like phenomenally successful in terms of just moving the ball forward and pretty much anything you care about, I believe, even like safety. You can have a lot more eyes on it and transparency instead of just something is happening. And there was three places with nuclear power plants attached to them. Right. So I think it's it's been awesome to see. And then and again, for like wearing my Dropbox hat, like anybody who's like scaling a service to millions of people, again, I'm probably not using like frontier models for every request. It's, you know, there are a lot of different configurations, mostly with smaller models. And even before you even talk about getting on the device, like, you know, you need this whole kind of constellation of different options. So open source has been great for that.Alessio [00:51:06]: And you were one of the first companies in the cloud repatriation. You kind of brought back all the storage into your own data centers. Where are we in the AI wave for that? I don't think people really care today to bring the models in-house. Like, do you think people will care in the future? Like, especially as you have more small models that you want to control more of the economics? Or are the tokens so subsidized that like it just doesn't matter? It's more like a principle. Yeah. Yeah.Drew [00:51:30]: I mean, I think there's another one where like thinking about the future is a lot easier if you start with the past. So, I mean, there's definitely this like big surge in demand as like there's sort of this FOMO driven bubble of like all of big tech taking their headings and shipping them to Jensen for a couple of years. And then you're like, all right, well, first of all, we've seen this kind of thing before. And in the late 90s with like Fiber, you know, this huge race to like own the internet, own the information superhighway, literally, and then way overbuilt. And then there was this like crash. I don't know to what extent, like maybe it is really different this time. Or, you know, maybe if we create AGI that will sort of solve the rest of the, or we'll just have a different set of things to worry about. But, you know, the simplest way I think about it is like this is sort of a rent not buy phase because, you know, I wouldn't want to be, we're still so early in the maturity, you know, I wouldn't want to be buying like pallets of over like of 286s at a 5x markup when like the 386 and 486 and Pentium and everything are like clearly coming there around the corner. And again, because of open source, there's just been a lot more com

This is a recap of the top 10 posts on Hacker News on September 1st, 2024.This podcast was generated by wondercraft.ai(00:35): Founder ModeOriginal post: https://news.ycombinator.com/item?id=41415023&utm_source=wondercraft_ai(01:47): Extreme Pi Boot OptimizationOriginal post: https://news.ycombinator.com/item?id=41420597&utm_source=wondercraft_ai(03:03): Anarchy in Sudan has spawned the world's worst famine in 40 yearsOriginal post: https://news.ycombinator.com/item?id=41415819&utm_source=wondercraft_ai(04:20): Honey, I shrunk {fmt}: bringing binary size to 14k and ditching the C++ runtimeOriginal post: https://news.ycombinator.com/item?id=41415238&utm_source=wondercraft_ai(05:42): Americans' love affair with big cars is killing themOriginal post: https://news.ycombinator.com/item?id=41418562&utm_source=wondercraft_ai(06:55): The Pentium as a Navajo WeavingOriginal post: https://news.ycombinator.com/item?id=41418301&utm_source=wondercraft_ai(08:06): The web's clipboard, and how it stores data of different typesOriginal post: https://news.ycombinator.com/item?id=41415866&utm_source=wondercraft_ai(09:23): How a leading chain of psychiatric hospitals traps patientsOriginal post: https://news.ycombinator.com/item?id=41417284&utm_source=wondercraft_ai(10:39): Godot on iPad, Toolbars, Importers, Embedding, DebuggerOriginal post: https://news.ycombinator.com/item?id=41415077&utm_source=wondercraft_ai(11:48): Einstein's Other Theory of EverythingOriginal post: https://news.ycombinator.com/item?id=41415647&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

A plethora of guests, but still plenty of time to Matthew to use another disgusting phrase.Thanks for downloading the podcast – remember, you can be an Early Worm and catch the show live on Radio X every Sunday 8am – 11am.Get in touch on sunday@radiox.co.uk@EdGambleComedy@matthewcrosby@jessicaknappett@manlikenabz @grandmasternabz@pierrenovellie

If there was one thing you think society should talk more about, what would it be? ”I want to talk about how you can be safer online and how parents can prevent their kids from getting arrested.”_________My guest today is unlike anyone I've ever had on the show before. When he was very young, he was a criminal hacker. Now he protects companies from people just like him.Many years ago, in the NSW coastal town of Eden, Bastien Treptel was a curious kid and had a fascination for computers and technology. He would disassemble any technology he could get his hands on, including his father's old telescope and his mother's washing machine. After his grandfather gave him an old Pentium 486 computer when he was 14, Bastien began reading about famous hackers around the world and they became a source of inspiration for him.By 16, he captured national attention and the Australian Federal Police were at his door. Bastien had hacked into a major Australian bank, accessing 40,000 credit card numbers and sensitive data. It was his love of pizza that led to the police tracking him down and ultimately reforming his ways.Years later, Bastien put his skills to good use and founded CTRL Group with the aim of combating cybercrime, and in 2021, he sold the company for a serious sum that he now doesn't need to work. Today, he uses his time to spread the word on how dangerous and creative cyber criminals are and how you can protect your business and personal life. Bastien is dedicated to inspiring everyone to appreciate security as it becomes an essential part of our lives as we move into a hyper-digitized world. I saw Bastien speak at SXSW last year and have been following him on Insta ever since - finding his content so helpful and insightful, if not at times, quite terrifying at how exposed we are these days - I just had to get him on the show. Let's dive in to learn more about the fascinating and sometimes scary world of cybercrime… _____For more information about Bastien, check out these places;-Linkedin: Bastien TreptelInstagram: Bastien TreptelHead to michellejcox.com for more information about the ONE QUESTION podcast, your host or today's guestsConnect with Michelle on Linkedin here:- @MichelleJCoxConnect with Michelle on Instagram here:- @michellejcoxConnect with Michelle on Facebook here - @michellejcoxAND, if you have a burning topic you'd love people to talk more about, or know someone who'd be great to come on the One Question podcast, please get in touch;- hello@michellejcox.com

An airhacks.fm conversation with Jonathan Schneider (@jon_k_schneider) about: from Pentium 2 machine and a rural high school to becoming a Java refactoring entrepreneur, self-taught C++ in high school, officer in the U.S. Army and deployed to Iraq and Afghanistan, worked on Java projects at an insurance company between deployments, joined Netflix to work on engineering tools, challenges of migrating Java versions and libraries in a freedom and responsibility culture, started the OpenRewrite project at Netflix for automated refactoring and code migration, founded the micrometer metrics instrumentation project at Pivotal, challenges of introducing automated pull requests in enterprise environments, rebooted OpenRewrite while working with Gradle's Hans Dockter, founded Moderne to commercialize OpenRewrite for large-scale enterprise refactoring, the origin of the Moderne name and its Art Deco roots, OpenRewrite's Maven and Gradle plugins for refactoring and styling using a visitor pattern on an enriched AST, Moderne's enterprise offering for large-scale refactoring and impact analysis, potential integration with large language models and retrieval-augmented generation for code optimization Jonathan Schneider on twitter: @jon_k_schneider

Welcome to nohacks.show, a weekly podcast where smart people talk to you about better online experiences! In this episode, we dive deep with Guido Jansen, an Applied Cognitive Psychologist, podcast host and producer, and global evangelist at Spryker. With over two decades of expertise in psychology, e-commerce, and technology, Guido shares his unique perspective on building online communities, the role of in-person events in fostering connections, and the psychology behind user engagement.Guido opens up about his journey from the early days of the internet, navigating through the 'glory days' with a Pentium 386, to leading communities for Joomla, Magento, and Spryker. He highlights the essential role of memory in understanding data and stresses the invaluable aspects of the community that competitors cannot replicate: the peer-to-peer support, the ecosystem of developers, and the shared experiences that come with being part of a community.Moreover, Guido touches on the evolution of online forums, the importance of face-to-face interactions in building lasting relationships within communities, and how companies can foster a sense of belonging and trust amongst their members. He also delves into the psychological aspects of community engagement, discussing cognitive biases such as social proof and authority, and their impact on digital platforms.Guido's insights extend beyond the digital realm, advocating for the power of in-person connections made at events and conferences, and how these experiences contribute to the success and growth of online communities. Join us as Guido shares his wealth of knowledge, humorous anecdotes, and the psychology behind creating engaging, thriving online spaces. Whether you're a community manager, a developer, or just passionate about digital engagement, this episode offers valuable lessons on the power of community and connection in the digital age.00:00:00 - Getting to Know Guido Jansen00:01:23 - The Unique Hiring Criteria for CRO00:02:05 - The Essence of Online Communities00:04:26 - The Impact of In-Person Events on Community Building00:07:12 - The Evolution and Future of Online Communities00:12:41 - Turning Lurkers into Active Community Members00:16:53 - Building Trust and Fostering Empathy in Communities00:22:47 - Leveraging Cognitive Biases for Community Engagement00:33:25 - Conclusion and Where to Find Guido NextLinks:Guido's LinkedInCRO.CAFESprykerCognitive Biases Wiki page---Tune in for an enlightening conversation and don't forget to rate and review the episode!nohacks.showYouTubeLinkedInEpisode intro/outro music by Josh Silverbauer (LinkedIn, Analyrical YouTube) and Jacon Packer (LinkedIn, Quantable Analytics)

Welcome to a whirlwind tour of the latest in gaming, where we fuse the thrill of AAA titles with critical industry insights. This week on Game Junction, we're not just talking about hot releases like the cinematic "Alone in the Dark" revival; we're dissecting the impact of microtransaction controversies on the soul of game design. Ever wondered how the convoluted Pokémon timeline fits together or what the future holds for GTA development? We've got that covered, alongside a heartfelt tribute to the late Michael 'BrolyLegs' Begum, whose story of determination in gaming will leave you inspired.Gear up for a nostalgia-driven ride through the history of gaming technology. Remember when 500 megabytes felt like a digital universe? We're reminiscing about the days of Pentium processors and diving into the evolution from our cherished DOS games to current marvels like Horizon Forbidden West. But it's not all about the past; we're also peering into the crystal ball at the future of VR platforms and the growing popularity of PC gaming. Join us as we explore the ripple effects of new tech launches, like the Xbox Nocturnal Vapor controller, on the gaming landscape.We wrap up with a candid look at the anime world, where "Spice and Wolf" teases us with its long-awaited return, and we debate whether the upcoming series should reboot or continue the original story. Plus, we're delving into the Cyberpunk universe, from its intricate lore to the anticipated sequel of Cyberpunk 2077, and discussing how CD Projekt Red's determination to prioritize quality over quantity could set a new standard in the industry. Stay tuned for thrilling discussions, personal anecdotes, and updates that span the gaming universe, all shared with the genuine passion only true gamers can bring to the table.NYXI Gaming- NYXI Wizard GameCube Wireless Joy-pad for Nintendo Switch/Switch OLED NYXI Warrior GameCube BlueStone Age GamerStone Age Gamer continues to add exclusive retro gaming products at low prices.Launch Your Own Podcast Now - BuzzsproutStart for FREE with our affiliate link.Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Support the showLive on YouTube every Friday @ 7 PM EST. YouTube Channels: @GameJunctionMedia @BrandonHurlesYT @TheJunctionNetwork All Socials: https://linktr.ee/gamejunctionTeespring: https://my-store-dcccac.creator-spring.com/Patreon: https://www.Patreon.com/Game_JunctionBonfire Merch: https://www.bonfire.com/store/game-junctionFacebook: https://www.facebook.com/GameJunctionInstagram: https://www.instagram.com/gamejunctionmediaDiscord: https://discord.gg/gamejunctionBuzzsprout Member: https://www.buzzsprout.com/2032725/support

An airhacks.fm conversation with Dmytro Liubarskyi (@langchain4j) about: continuous Windows 95 re-installation on Pentium 2 then Pentium 3, early interest in J2ME development and websites, transition to Java and enterprise software development, motivation behind creating langchain4j, integration with embedding models, vector databases, and ONNX Runtime, langchain4j core abstracts: language models, chat memory, AI services, tools, langchain4j, onnx.ai, Dynamic tools with GraalVM, Enterprise use cases and integration with Java stacks, OpenAI, Anthropic, Cohere, Hugging Face, Bedrock, Olama, Gemini Dmytro Liubarskyi on twitter: @langchain4j

Join us as we have a conversation with our guest, Adam White, Senior Product Manager of Automation at Salesforce. Listen in as he recounts the evolution of his gaming and tinkering with various consoles and his first computer, a Pentium 100, revealing how overcoming the challenges of early computing led to a love for problem-solving and technical mastery. In this conversation, we explore the unconventional pathways to tech careers, emphasizing that a traditional background in technology isn't always necessary. The discussion navigates through career milestones, from the challenges of managing Salesforce single-handedly to embracing program management at Alarm.com and delving into the role of Atlassian tools in business applications. Our chat then takes a closer look at the latest features in Salesforce Flow, such as the advancements in reactive screen flows, allowing form building with conditionally disabled and read-only fields. Listen in for an exciting conversation! Show Highlights: The influence of early gaming on developing tech skills and problem-solving abilities. Transitioning from an economics and Spanish major to a tech enthusiast. Challenges and triumphs of solo Salesforce administration and the benefits of low-code solutions like Salesforce Flow. Latest features in Salesforce, including reactive screens and the repeater component for screen flows. Discussion of the upcoming Salesforce features and the anticipation of how they will enhance user experience and developer capabilities. Links: Adam on LinkedIn: https://www.linkedin.com/in/declarativeninja/ Reactive Screen Components: https://admin.salesforce.com/blog/2023/flow-reactive-screen-components-ga-learn-moar-winter-24  

An airhacks.fm conversation with Anton Arhipov (@antonarhipov) about: playing sports games on Pentium 233 MHz the 2014 JavaOne Rockstar awards about NetBeans, Eclipse, and IntelliJ., enjoying sports games and destroying joysticks, practicing competitive swimming, swim training, starting to program in Turbo Pascal at Maelardalen University, ship simulation with Java for Vasa Museum, joining a company which maintains RefactorIT, working with Java EE and WebLogic and JRockit, joining ZeroturnAround and working on JRebel, Rebel and LiveRebel, working on a profiler, JetBrain's MPS, DevRel for TeamCity, AppCode features are appearing in fleet, Fleet is built on common UI principles, the rendering engine Skia, Kotlin and Jetpack Compose, Circles by Anton Anton Arhipov on twitter: @antonarhipov

We're firing up the time machine again this week for another visit to the era when computer coverage was "printed" on "paper" in bound volumes called "magazines." This time, we take a look at the voluminous December 2000 issue of PC Gamer, with a look at the early MMO boom brought on by Ultima Online and EverQuest, a preview of EA's weird social game Majestic, reviews of Voyager: Elite Force, Metal Gear Solid for Windows, and the Geforce 2 Ultra, and a bunch more!Here's the browsable version of the issue we discussed, along with quite a few other old PC Gamer issues: https://archive.org/details/UneditedPCGamer_marktrade/PC_Gamer_079u/mode/2upSupport the Pod! Contribute to the Tech Pod Patreon and get access to our booming Discord, a monthly bonus episode, your name in the credits, and other great benefits! You can support the show at: https://patreon.com/techpod

Season 5 Episode 21 Episode 157 News: Hardware  The Pentium 5  Raspberry Pi 5 announced Marsfpga - Multi Arcade & Retro System Emulation / hacks / translations / homebrew games The Smiths Have Just Got Their Own Unofficial Text Adventure Game For C64 & Oric The Legend of Super Mario - Save Mushroom Kingdom   Game Club Discussion: Haunted House  Zombies Ate my Neighbors New Game Club Games: Dr. Chaos Plants vs Zombies   Game Club Link Tree Retro Game Club Discord server Bumpers: Raftronaut , Inverse Phase Threads, Facebook, Twitter, and  Instagram managed by: Zach Email us: email@retrogameclub.net =====================================   #retro #retrogames #retrogaming #videogames #classiccomputing #RaspberryPi #Arcade #FPGA #Intel #Pentium #C64 #HauntedHouse #Atari #Atari2600 #ZAMN #ZombiesAteMyNeighbors #Sega #SegaGenesis #SpookySeason #SpoopySeason  

Der Pentium-Prozessor ist ein wesentlicher Meilenstein in der Entwicklungsgeschichte von Computerchips. Als Weiterentwicklung der 486er-Reihe brachte er im Jahr 1993 signifikante Neuerungen und Leistungssteigerungen mit sich. Mit seiner Einführung definierte Intel viele der Standards, die heute in der Mikroprozessortechnologie gelten. Henner und Chris geben im Gespräch einen tiefen Einblick in die Historie und technische Grundlage des Pentiums und erläutern seine Bedeutung für die Computerindustrie. Podcast-Credits: Sprecher/Redaktion: Henner Thomsen, Christian Schmidt Audioproduktion: Fabian Langer, Christian Schmidt Titelgrafik: Paul Schmidt

Infomaniak partage les valeurs de Tech Café : éthique, écologie et respect de la vie privée. Découvrez les services de notre partenaire sur Infomaniak.comOn revient en 2003 ! La chute de Saddam Hussein, Cebit 2003, vidéos & DVD, les téléphones évoluent, ordinateurs individuels, jeux vidéo... ❤️ Patreon

Linux and FreeBSD Firewalls Part 1, Why Netflix Chose NGINX as the Heart of Its CDN, Protect your web servers against PHP shells and malwares, Installing and running Gitlab howto, and more NOTES This episode of BSDNow is brought to you by Tarsnap (https://www.tarsnap.com/bsdnow) and the BSDNow Patreon (https://www.patreon.com/bsdnow) Headlines Linux vs. FreeBSD : Linux and FreeBSD Firewalls – The Ultimate Guide : Part 1 (https://klarasystems.com/articles/freebsd-linux-and-freebsd-firewalls/) Why Netflix Chose NGINX as the Heart of Its CDN (https://www.nginx.com/blog/why-netflix-chose-nginx-as-the-heart-of-its-cdn/) News Roundup FreeBSD: Protect your web servers against PHP shells and malwares (https://ozgurkazancci.com/freebsd-protect-your-web-server-against-php-shells-and-malwares/) HowTo: Installing and running Gitlab (https://forums.FreeBSD.org/threads/howto-installing-and-running-gitlab.89436/) Beastie Bits • [World built in 36 hours on a Pentium 4!](https://www.reddit.com/r/freebsd/comments/13undl9/world_built_in_36_hours_on_a_pentium_4/) • [Fart init](https://x61.sh/log/2023/05/23052023153621-fart-init.html](https://x61.sh/log/2023/05/23052023153621-fart-init.html) • [Organized Freebies](https://mwl.io/archives/22832) • [OpenSMTPD 7.3.0p0 released](http://undeadly.org/cgi?action=article;sid=20230617111340) • [shutdown/reboot now require membership of group _shutdown](http://undeadly.org/cgi?action=article;sid=20230620064255) • [Where does my computer get the time from?](https://dotat.at/@/2023-05-26-whence-time.html) Tarsnap This weeks episode of BSDNow was sponsored by our friends at Tarsnap, the only secure online backup you can trust your data to. Even paranoids need backups. *** Feedback/Questions sam - fav episodes (https://github.com/BSDNow/bsdnow.tv/blob/master/episodes/515/feedback/sam%20-%20fav%20episodes.md) Send questions, comments, show ideas/topics, or stories you want mentioned on the show to feedback@bsdnow.tv (mailto:feedback@bsdnow.tv) ***

In this episode, we chat with Cleve Moler, a pioneer in numerical mathematics,  creator of MATLAB and co-founder of MathWorks. We cover the birth of MATLAB, along with captivating stories about the origin of the iconic MathWorks logo, the enigmatic "why" command, the concept of "embarrassingly parallel computations," and the mysterious Pentium bug, among other. Outline00:00 - Intro  05:23 - Advice to students 05:45 - Caltech & J. Todd 07:07 - Stanford & G. Forsythe08:27 - The MathWorks logo  11:50 - ETH Zürich & Stiefel16:51 - Householder meetings 19:48 - LINPACK & EISPACK projects  26:10 - The birth of MATLAB 29:42 - Stanford course and the founding of Mathworks 38:40 - Embarrassingly parallel computing39:54 - The pentium bug 43:58 - SIAM and matrix exponentials47:19 - Future of mathematics51:36 - OutroLinksCleve's corner - https://blogs.mathworks.com/cleve/Mathworks - https://mathworks.com/ History of Matlab - https://tinyurl.com/3dupkb7wDatatron computer - https://tinyurl.com/4kmcw95rJ. Todd - https://tinyurl.com/2s432wzcG. Forsythe - https://tinyurl.com/5583cfwxMathWorks logo - https://tinyurl.com/yc4th7sk E. Stiefel - https://tinyurl.com/ys4r2h96 J. Wilkinson - https://tinyurl.com/ye23bkdc LINPACK - https://tinyurl.com/39d7rwxk Computer solutions of linear algebraic systems - https://tinyurl.com/h9z7s342 Argonne Labs - https://www.anl.gov/ J. Dongarra - https://tinyurl.com/juzrw6y6 Embarrassingly parallel - https://tinyurl.com/yck38a4yPentium bug - https://tinyurl.com/4k7dt76p 19 dubious ways to compute the exponential of a matrix - https://tinyurl.com/yeyjy2bw Perron-Frobenius theorem - https://tinyurl.com/fa59dv32 O. Taussky - https://tinyurl.com/yckexuwsSupport the showPodcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://tinyurl.com/5n84j85jSpotify: https://tinyurl.com/4rwztj3cRSS: https://tinyurl.com/yc2fcv4yYoutube: https://tinyurl.com/bdbvhsj6Facebook: https://tinyurl.com/3z24yr43Twitter: https://twitter.com/IncontrolPInstagram: https://tinyurl.com/35cu4kr4Acknowledgments and sponsorsThis episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

Welcome, as we journey into the life of Doug Griffin, a technology pioneer whose influence pervades the spheres of gaming, cinema, & digital storytelling. Griffin, forged in the fiery crucible of 1990s innovation, has a legacy extending from bringing to life the legendary Star Wars universe for Lucasfilm to crafting immersive worlds that reverberate globally. Our discourse today is a vibrant voyage through the multifaceted terrains of cinema, gaming, & disruptive technology.Herein, we excavate the prospects & hurdles of tech like OpenAI, Google Bard, Midjourney & Apple's latest wonder - the Vision Pro - envisioning their capacity to reweave the texture of our lives & society. In a world where technology's evolution has hyper-accelerated from decades-long progress in the '90s to near-monthly metamorphoses, Griffin's diverse background in biomechanics, gaming, visual effects, & AI presents a beacon of insight amidst these churning currents. Griffin's career, studded with successful start-ups & colossal acquisitions by industry giants like The Walt Disney Company, Apple, & Roblox, imparts perspectives imbued with profound wisdom & experience.From breathing new life into cherished characters from cultural cornerstones like Harry Potter & Pirates of the Caribbean to foreseeing a future where generative AI animates our habitats with such personas for real-time, interactive escapades, our dialogue takes fascinating diversions. Together, we decipher the recent E.U. AI Act, contemplating its prospective ripple effects on tech, governance, & its potential to redraw the landscape of society.Our conversation, overflowing with intellectual intrigue, highlights the nuanced dance of technology, creativity, entertainment, & societal evolution. If the thrilling nexus of technology & storytelling sparks your curiosity, or the future of AI fuels your imagination, this episode offers an exhilarating symphony for your ears. So, join us on this journey into the heart of technological innovation & lets collectively navigate the trajectory into the future.In this episode, we explore:Griffin's inspiring ancestry & the enthralling tale of Oakridge - The Secret City That Built the Atomic Bomb.His metamorphic shift from architecture to tech, ignited by the advent of the Pentium processor in the late '90s.His enthralment with human performance & the confluence of exercise physiology & biomechanics with the gaming industry, spurred by PlayStation One's emergence.His dynamic engagements in media & entertainment - spanning from Biovision, EA to Lucasfilm, contributing to franchises like Star Wars, The Mummy Returns, Harry Potter, & Pirates of the Caribbean.The revolutionary power of AI within the creative culture of games, movies, & the creator economy.The intersecting vectors of innovation & societal influence.The future promise of AR, VR, AI, OpenAI, Stable Diffusion, DALL-E, Google Bard, Machine Learning, & Midjourney in an era of swift evolution & democratized access.A proficient analysis of Apple's new Vision Pro.The potentials & complexities of venture capital.The forthcoming era of AI in storytelling, creativity & healthcare.The importance of aligning with your passions and embracing change.Our journey with Doug today has given us insights & questions. Now, it's your turn. Ask yourself: How do you want to shape our collective future? Whatever your answers, act on them. Engage in conversations, challenge norms, embrace change, & above all, be curious. The future is not just in the hands of the Doug Griffins of the world. It's in yours too. The narrative is ours to write, technology ours to steer, & the future ours to shape. Join our tribe and lets grow together https://plus.acast.com/s/purpose-made-podcast. Hosted on Acast. See acast.com/privacy for more information.

Radial y radiofónico, dos besitos, la otra cuenta de Instagram, "aquel que no desea ser fotografiado", Lungarini y Finkel, el amor y el dinero, Pentium 5, Divina Gloria, Los Melly y las Ricuritas, casting de Ronnies, Franco Massini, Bb y Ronnie en el escenario con un pianista, whisky y puchos, el casino de Gorlero, "Todo Viejo", "Sanzo es un pussy", LA GRAN PREGUNTA.

May 12-18: The Wonder Years and The Office say goodbye, the new Star Trek reboot is also a remake, The Simpsons' most star-studded finale, Urkel gets people fired, a modern Doris Day movie, Paul Rudd gets a makeover, Dawson makes his crying face, Don Draper does speed, a Black western, and we still don't know what a Pentium is. All that and more on our weekly report on the state of 30, 20, and 10 years ago!

Bart is the founding Guru at GuruScan | International Knowledge Management speaker | Makes Knowledge driven business decisions and helps enable the customers to do https://www.linkedin.com/in/bart-guruscan/ Guruscan website https://guruscan.nl/ What is knowledge management? Knowledge is a lot more than information Information is content Knowledge is explicit and implicit knowledge Knowledge Management strategy Shell Connecting people to people, Connecting people to content Community of practice Lessons learned, what did we do and how well did we do it? Forward-looking thing: how can we integrate learning and development? Learn about where we want to go This makes me excited to be a part of KM Skills that are really hard to make explicit Fingerspettein Riding a bike, talk to someone about riding a bike Keep on pedaling, look forward, and find your balance, these are all processes that can't be taught You can't read how to ride a bike What percentage of knowledge for business is like riding a bike? Specific use cases; a lot of research 20% is explicit and 80% is actually stuff people are doing Then not ending up in the final 95% implicit in the particular case of tacit knowledge Is the role Thousands of people; how do you communicate with them Complex environment and things are changing in Solving complex problems is when you want to get people together Prehistoric groups There was cross-group and collaboration Strangers interacting 1-2 years now for 10-15 years of experience as specialist After a while, its interesting to hear how people have feelings about whether things are wrong Intuition says something is wrong, and then finds the thing that is wrong No textbook is going to tell you what is wrong Concept is called Dunbar number, robert dunbar, British anthropologist 150 people; the people with you can have a meaningful relationship High school friends are replaced with work friends Changes over time but the limit Social grooming, what their parents are doing, what are they doing If you want to expand you are not going to be FDR had 44,000 people in The level of leadership changes, and remote work As a CEO of a 20K person company Methods for Organizational network analysis Knowledge Map of the organization Connect people with very similar of knowledge. Find people to really like to exchange with An idea is network Bart is in Amsterdam Not totally remote Gitlab as an example Remote work as asynchronous Being able to work asynchronously in productive Large organizations Monday morning you have the standup Large organizations in tons of synchronous meetings Lockdowns the whole workspace Feeling productive vs not feeling productive Status report Alignment and updating people That's the big challenge The furthest in Async first Async needs to be changed If you can't have that meeting, what would you do? Internal organization A lot of people who make money running the organization IIf you are up to 60 or 70 people because there is no overhead If you need to arrange something you need to Staff departments at 150 Institutional Staff departments Especially, growing the company as an incentive How do you work smarter, not harder? Our department In organizations, the hard thing is to make sure that you don't reduce complexity, If you reduce the complexity Requisite variety, adapt to all the changes that are coming from the outside of the world Balance exploration and exploitation If you don't exploit then you don't the money Exploration is the future of the company How much money, time, effort and people? How much money should we invest in R&D? Insane amounts of money Every company should do in more exploration Changing processes is usually not considered R&D Changing your organization to better fit future Political aspect Produce 50 or 60% of all the semiconductors Flat screens LED lights have semiconductors European Union has different regulations Huge fabrication tension of where ASML TSMC The flow of money spent on the Governed by Moore laws The number of transistors on a square meter would double every year Fit the developments into the computer chips Pentium processors went faster than Moore's laws How many people work in semiconductors? Ultraviolet lights Collaborations Semiconductor stuff, how to do the knowledge management? Work together with SAIS, German lens company SAIS maybe made an investment in that Seimer integrating with the equiptment Global recruiment that they do Optical engineering Thats the most important thing With customers and suppliers Crash in 2009 and 2020 Apple, Intel, and Samsung Flagship model The chain is so fragile

From developing programs on a Pentium computer as a kid and programming in Visual Basic 6 to becoming a leader in software development for Machine Learning on the Web, join us as we learn about Gant's journey to where he is today. And the secret sauce to all this? Gant's creativity and curiosity that he mixes into his work, creating fun and amazing experiences for developers around the world.    Learn more about how to be a Google Developer Expert → https://goo.gle/3oaXxr7    Resources: Website: https://goo.gle/3GFCWlc  Company: Infinite Red: https://goo.gle/3KWDzcW  Title: CIO – Chief Innovation Officer   Social Twitter: @GantLaborde  Medium: https://goo.gle/3ZYmFig  GitHub: https://goo.gle/3KUqsJb  LinkedIn: https://goo.gle/3muSUrC     Books: TensorFlow.js Book: https://amzn.to/3GzR9QK  All Books: https://goo.gle/3zR1zYq    Stuff Gant has made:  Harry Potter-inspired AR Sorting Hat: https://goo.gle/3MAn0ED  Enjoying the Show: https://goo.gle/3Uw2zL0  Time Warp Scan https://goo.gle/43vahZQ  NSFW JS: https://goo.gle/406OFQN  AI Trainable Tic Tac Toe: https://goo.gle/3MA5ErH    Rock Paper Scissors:  https://goo.gle/3o7r70O  TensorFlow.js - RGB channels to Red-Green Color Blind: https://goo.gle/3KAFfYd    Guest bio:  Gant Laborde is the owner of Infinite Red and author of the popular O'Reilly book, “Learning TensorFlow.js”. By day he is a mentor, adjunct professor and award-winning speaker. For 20 years, he has been involved in software development, and is recognized as a Google Developer Expert in Web and Machine Learning. By night he is known as an “open sourcerer”, aspiring future mad scientist, illustrator and appears as an avatar in his latest children's book, dedicated to his daughter and wife. #AI #ML

Video game violence begins to make operators uneasy 3DO plans to shake up console biz Federal investigation into Nintendo dropped These stories and many more on this episode of the VGNRTM This episode we will look back at the biggest stories in and around the video game industry in February 1993.  As always,  we'll mostly be using magazine cover dates, and those are of course always a bit behind the actual events. Alex Smith of They Create Worlds is our cohost.  Check out his podcast here: https://www.theycreateworlds.com/ and order his book here: https://www.theycreateworlds.com/book Get us on your mobile device: Android:  https://www.google.com/podcasts?feed=aHR0cHM6Ly92aWRlb2dhbWVuZXdzcm9vbXRpbWVtYWNoaW5lLmxpYnN5bi5jb20vcnNz iOS:      https://podcasts.apple.com/de/podcast/video-game-newsroom-time-machine And if you like what we are doing here at the podcast, don't forget to like us on your podcasting app of choice, YouTube, and/or support us on patreon! https://www.patreon.com/VGNRTM Send comments on Mastodon @videogamenewsroomtimemachine@oldbytes.space Or twitter @videogamenewsr2 Or Instagram https://www.instagram.com/vgnrtm Or videogamenewsroomtimemachine@gmail.com Links: 7 Minutes in Heaven: Ecco The Dolphin     Video Version:  https://www.patreon.com/posts/7-minutes-in-80192007     https://en.wikipedia.org/wiki/Ecco_the_Dolphin     https://www.mobygames.com/game/6677/ecco-the-dolphin/     https://www.mobygames.com/group/741/ecco-the-dolphin-series/ Corrections:     January 1993 Ep - https://www.patreon.com/posts/january-1993-78923081     https://youtu.be/Sr0BVKb9Am0     https://en.wikipedia.org/wiki/WMS_Industries     https://en.wikipedia.org/wiki/Johnny_Turbo     https://twitter.com/itsjohnnyturbo?lang=en     https://en.wikipedia.org/wiki/Craftsman_(tools)     https://en.wikipedia.org/wiki/Black%2BDecker      1993.02 WMS sues to stop Aladdin sale         RePlay Feb. 1993, pg. 16     Kevin Hayes - Atari - Namco  https://www.patreon.com/posts/50612798 Capcom's Revenue Sharing scheme shakes up AMOA         RePlay Feb. 1993, pg. 29 Move over Battletech... Star Wars is here!     https://archive.org/details/vgce_93-02/page/n21/mode/1up?view=theater         https://starwars.fandom.com/wiki/Vernost         https://books.google.de/books?id=vBaRlzJ2LKkC&lpg=PP1&hl=de&pg=PA39#v=onepage&q=vernost&f=false        https://youtu.be/oLmFwsZsS7U     https://en.wikipedia.org/wiki/Rescue_on_Fractalus!      Video game violence issue returns     RePlay Feb. 1993 pg. 101     Gary Brose - Seattle Funplex  https://www.patreon.com/posts/gary-brose-79660873      3DO business model revealed     https://archive.org/details/vgce_93-02/page/n21/mode/1up?view=theater     https://en.wikipedia.org/wiki/3DO_Interactive_Multiplayer     https://youtu.be/yxF1_wg2d_Q Sega announces Genesis 2     https://archive.org/details/ElectronicGamingMonthly_201902/Electronic%20Gaming%20Monthly%20Issue%20043%20%28February%201993%29/page/n49/mode/1up     https://en.wikipedia.org/wiki/Sega_Genesis#Variations NEC wants to kick your butt with the Virtual Cushion     https://archive.org/details/ElectronicGamingMonthly_201902/Electronic%20Gaming%20Monthly%20Issue%20043%20%28February%201993%29/page/n67/mode/1up        https://consolevariations.com/variation/accessory/nec-pc-engine-virtual-cushion And on the SNES CD front     https://archive.org/details/ElectronicGamingMonthly_201902/Electronic%20Gaming%20Monthly%20Issue%20043%20%28February%201993%29/page/n43/mode/1up      Namco brings bar code battling to Gameboy     https://archive.org/details/ElectronicGamingMonthly_201902/Electronic%20Gaming%20Monthly%20Issue%20043%20%28February%201993%29/page/n65/mode/1up        https://nintendo.fandom.com/wiki/Barcode_Boy CD burners become affordable     https://archive.org/details/eu_BYTE-1993-02_OCR/page/n17/mode/1up     https://archive.org/details/eu_BYTE-1993-02_OCR/page/n37/mode/1up Court squashes AMD 486 roll out     https://archive.org/details/eu_BYTE-1993-02_OCR/page/n41/mode/1up         https://www.latimes.com/archives/la-xpm-1995-01-12-fi-19170-story.html        https://archive.org/details/pc-review-16/page/20/mode/1up?view=theater     https://archive.org/details/eu_BYTE-1993-02_OCR/page/n39/mode/1up      Notebooks come of age at COMDEX     https://archive.org/details/1993-02-compute-magazine/page/n185/mode/1up?view=theater      FTC drops case against Nintendo     https://archive.org/details/vgce_93-02/page/n21/mode/1up?view=theater Sega settles Magnavox suit     Play Meter Feb. 1993 pg. 3 German software leasing may be coming to an end     https://archive.org/details/AmigaJoker199302/page/n7/mode/1up European law to fill software protection gaps     https://archive.org/details/AmigaJoker199302/page/n39/mode/1up     https://en.wikipedia.org/wiki/Computer_Programs_Directive Sonic is coming to TV     https://archive.org/details/ElectronicGamingMonthly_201902/Electronic%20Gaming%20Monthly%20Issue%20043%20%28February%201993%29/page/n216/mode/1up         https://en.wikipedia.org/wiki/Adventures_of_Sonic_the_Hedgehog     https://en.wikipedia.org/wiki/Sonic_the_Hedgehog_(TV_series)     https://en.wikipedia.org/wiki/Sonic_the_Hedgehog_(Archie_Comics) Virtuality adds flight sim     https://archive.org/details/theone-magazine-53/page/n13/mode/1up?view=theater     https://en.wikipedia.org/wiki/Virtuality_(product) Recommended Links: The History of How We Play: https://thehistoryofhowweplay.wordpress.com/ Gaming Alexandria: https://www.gamingalexandria.com/wp/ They Create Worlds: https://tcwpodcast.podbean.com/ Digital Antiquarian: https://www.filfre.net/ The Arcade Blogger: https://arcadeblogger.com/ Retro Asylum: http://retroasylum.com/category/all-posts/ Retro Game Squad: http://retrogamesquad.libsyn.com/ Playthrough Podcast: https://playthroughpod.com/ Retromags.com: https://www.retromags.com/ Games That Weren't - https://www.gamesthatwerent.com/ Sound Effects by Ethan Johnson of History of How We Play. Copyright Karl Kuras  

We've talked about the history of microchips, transistors, and other chip makers. Today we're going to talk about Intel in a little more detail.  Intel is short for Integrated Electronics. They were founded in 1968 by Robert Noyce and Gordon Moore. Noyce was an Iowa kid who went off to MIT to get a PhD in physics in 1953. He went off to join the Shockley Semiconductor Lab to join up with William Shockley who'd developed the transistor as a means of bringing a solid-state alternative to vacuum tubes in computers and amplifiers. Shockley became erratic after he won the Nobel Prize and 8 of the researchers left, now known as the “traitorous eight.”  Between them came over 60 companies, including Intel - but first they went on to create a new company called Fairchild Semiconductor where Noyce invented the monolithic integrated circuit in 1959, or a single chip that contains multiple transistors.  After 10 years at Fairchild, Noyce joined up with coworker and fellow traitor Gordon Moore. Moore had gotten his PhD in chemistry from Caltech and had made an observation while at Fairchild that the number of transistors, resistors, diodes, or capacitors in an integrated circuit was doubling every year and so coined Moore's Law, that it would continue to to do so. They wanted to make semiconductor memory cheaper and more practical. They needed money to continue their research. Arthur Rock had helped them find a home at Fairchild when they left Shockley and helped them raise $2.5 million in backing in a couple of days.  The first day of the company, Andy Grove joined them from Fairchild. He'd fled the Hungarian revolution in the 50s and gotten a PhD in chemical engineering at the University of California, Berkeley. Then came Leslie Vadász, another Hungarian emigrant. Funding and money coming in from sales allowed them to hire some of the best in the business. People like Ted Hoff , Federico Faggin, and Stan Mazor. That first year they released 64-bit static random-access memory in the 3101 chip, doubling what was on the market as well as the 3301 read-only memory chip, and the 1101. Then DRAM, or dynamic random-access memory in the 1103 in 1970, which became the bestselling chip within the first couple of years. Armed with a lineup of chips and an explosion of companies that wanted to buy the chips, they went public within 2 years of being founded. 1971 saw Dov Frohman develop erasable programmable read-only memory, or EPROM, while working on a different problem. This meant they could reprogram chips using ultraviolet light and electricity. In 1971 they also created the Intel 4004 chip, which was started in 1969 when a calculator manufacturer out of Japan ask them to develop 12 different chips. Instead they made one that could do all of the tasks of the 12, outperforming the ENIAC from 1946 and so the era of the microprocessor was born. And instead of taking up a basement at a university lab, it took up an eight of an inch by a sixth of an inch to hold a whopping 2,300 transistors. The chip didn't contribute a ton to the bottom line of the company, but they'd built the first true microprocessor, which would eventually be what they were known for. Instead they were making DRAM chips. But then came the 8008 in 1972, ushering in an 8-bit CPU. The memory chips were being used by other companies developing their own processors but they knew how and the Computer Terminal Corporation was looking to develop what was a trend for a hot minute, called programmable terminals. And given the doubling of speeds those gave way to microcomputers within just a few years. The Intel 8080 was a 2 MHz chip that became the basis of the Altair 8800, SOL-20, and IMSAI 8080. By then Motorola, Zilog, and MOS Technology were hot on their heals releasing the Z80 and 6802 processors. But Gary Kildall wrote CP/M, one of the first operating systems, initially for the 8080 prior to porting it to other chips. Sales had been good and Intel had been growing. By 1979 they saw the future was in chips and opened a new office in Haifa, Israiel, where they designed the 8088, which clocked in at 4.77 MHz. IBM chose this chip to be used in the original IBM Personal Computer. IBM was going to use an 8-bit chip, but the team at Microsoft talked them into going with the 16-bit 8088 and thus created the foundation of what would become the Wintel or Intel architecture, or x86, which would dominate the personal computer market for the next 40 years. One reason IBM trusted Intel is that they had proven to be innovators. They had effectively invented the integrated circuit, then the microprocessor, then coined Moore's Law, and by 1980 had built a 15,000 person company capable of shipping product in large quantities. They were intentional about culture, looking for openness, distributed decision making, and trading off bureaucracy for figuring out cool stuff. That IBM decision to use that Intel chip is one of the most impactful in the entire history of personal computers. Based on Microsoft DOS and then Windows being able to run on the architecture, nearly every laptop and desktop would run on that original 8088/86 architecture. Based on the standards, Intel and Microsoft would both market that their products ran not only on those IBM PCs but also on any PC using the same architecture and so IBM's hold on the computing world would slowly wither. On the back of all these chips, revenue shot past $1 billion for the first time in 1983. IBM bought 12 percent of the company in 1982 and thus gave them the Big Blue seal of approval, something important event today. And the hits kept on coming with the 286 to 486 chips coming along during the 1980s. Intel brought the 80286 to market and it was used in the IBM PC AT in 1984. This new chip brought new ways to manage addresses, the first that could do memory management, and the first Intel chip where we saw protected mode so we could get virtual memory and multi-tasking.  All of this was made possible with over a hundred thousand transistors. At the time the original Mac used a Motorola 68000 but the sales were sluggish while they flourished at IBM and slowly we saw the rise of the companies cloning the IBM architecture, like Compaq. Still using those Intel chips.  Jerry Sanders had actually left Fairchild a little before Noyce and Moore to found AMD and ended up cloning the instructions in the 80286, after entering into a technology exchange agreement with Intel. This led to AMD making the chips at volume and selling them on the open market. AMD would go on to fast-follow Intel for decades. The 80386 would go on to simply be known as the Intel 386, with over 275,000 transistors. It was launched in 1985, but we didn't see a lot of companies use them until the early 1990s. The 486 came in 1989. Now we were up to a million transistors as well as a math coprocessor. We were 50 times faster than the 4004 that had come out less than 20 years earlier.  I don't want to take anything away from the phenomenal run of research and development at Intel during this time but the chips and cores and amazing developments were on autopilot. The 80s also saw them invest half a billion in reinvigorating their manufacturing plants. With quality manufacturing allowing for a new era of printing chips, the 90s were just as good to Intel. I like to think of this as the Pentium decade with the first Pentium in 1993. 32-bit here we come. Revenues jumped 50 percent that year closing in on $9 billion. Intel had been running an advertising campaign around Intel Inside. This represented a shift from the IBM PC to the Intel. The Pentium Pro came in 1995 and we'd crossed 5 million transistors in each chip. And the brand equity was rising fast. More importantly, so was revenue. 1996 saw revenues pass $20 billion. The personal computer was showing up in homes and on desks across the world and most had Intel Inside - in fact we'd gone from Intel inside to Pentium Inside. 1997 brought us the Pentium II with over 7 million transistors, the Xeon came in 1998 for servers, and 1999 Pentium III. By 2000 they introduced the first gigahertz processor at Intel and they announced the next generation after Pentium: Itanium, finally moving the world to the 64 bit processor.  As processor speeds slowed they were able to bring multi-core processors and massive parallelism out of the hallowed halls of research and to the desktop computer in 2005. 2006 saw Intel go from just Windows to the Mac. And we got 45 nanometer logic technology in 2006 using hafnium-based high-k for transistor gates represented a shift from the silicon-gated transistors of the 60s and allowed them to move to hundreds of millions of transistors packed into a single chip. i3, i5, i7, an on. The chips now have over a couple hundred million transistors per core with 8 cores on a chip potentially putting us over 1.7 or 1.8 transistors per chip. Microsoft, IBM, Apple, and so many others went through huge growth and sales jumps then retreated dealing with how to run a company of the size they suddenly became. This led each to invest heavily into ending a lost decade effectively with R&D - like when IBM built the S/360 or Apple developed the iMac and then iPod. Intel's strategy had been research and development. Build amazing products and they sold. Bigger, faster, better. The focus had been on power. But mobile devices were starting to take the market by storm. And the ARM chip was more popular on those because with a reduced set of instructions they could use less power and be a bit more versatile.  Intel coined Moore's Law. They know that if they don't find ways to pack more and more transistors into smaller and smaller spaces then someone else will. And while they haven't been huge in the RISC-based System on a Chip space, they do continue to release new products and look for the right product-market fit. Just like they did when they went from more DRAM and SRAM to producing the types of chips that made them into a powerhouse. And on the back of a steadily rising revenue stream that's now over $77 billion they seem poised to be able to whether any storm. Not only on the back of R&D but also some of the best manufacturing in the industry.  Chips today are so powerful and small and contain the whole computer from the era of those Pentiums. Just as that 4004 chip contained a whole ENIAC. This gives us a nearly limitless canvas to design software. Machine learning on a SoC expands the reach of what that software can process. Technology is moving so fast in part because of the amazing work done at places like Intel, AMD, and ARM. Maybe that positronic brain that Asimov promised us isn't as far off as it seems. But then, I thought that in the 90s as well so I guess we'll see.        

  Sony and Nintendo break up, Intel christens the Pentium & EA and ESPN bury the hatchet These stories and many more on this episode of the VGNRTM This episode we will look back at the biggest stories in and around the video game industry in January 1993. As always, we'll mostly be using magazine cover dates, and those are of course always a bit behind the actual events.   Wouter, aka Wiedo, is our cohost. You can find his awesome twitter feed here: https://twitter.com/wiedo and https://www.youtube.com/watch?v=8SW2_WXgbbo and https://redcircle.com/shows/newgameoldflame   Get us on your mobile device: Android: https://www.google.com/podcasts?feed=aHR0cHM6Ly92aWRlb2dhbWVuZXdzcm9vbXRpbWVtYWNoaW5lLmxpYnN5bi5jb20vcnNz iOS: https://podcasts.apple.com/de/podcast/video-game-newsroom-time-machine   And if you like what we are doing here at the podcast, don't forget to like us on your podcasting app of choice, YouTube, and/or support us on patreon! https://www.patreon.com/VGNRTM   Send comments on Mastodon @videogamenewsroomtimemachine@oldbytes.space Or twitter @videogamenewsr2 Or Instagram https://www.instagram.com/vgnrtm Or videogamenewsroomtimemachine@gmail.com   Links: 7 Minutes in Heaven: Dracula: The Undead Video Version: https://www.patreon.com/posts/7-minutes-in-78921633     Corrections: December 1992 Ep - https://www.patreon.com/posts/december-1992-77928147 https://wiki.neogeodev.org/index.php?title=Memory_card https://podcasts.apple.com/fr/podcast/madden-for-some-football/id1035507666?i=1000551101751 Ethan's new series: https://www.youtube.com/watch?v=hEEwZkbSmEU   01.1993:   Namco buys Alladin's Castle Play Meter Jan. 1993 pg. 3 Replay Jan. 1993 pg. 3 https://www.bhamwiki.com/w/Aladdin%27s_Castle Kevin Hayes - Atari - Namco https://www.patreon.com/posts/50612798   SMP to bring Lawnmower Man to life Play Meter Jan. 1993 pg. 21 https://vrtifacts.com/warning-will-robinson-warning/?hilite=voyager https://en.wikipedia.org/wiki/The_Lawnmower_Man_(film)   Virtuality is coming home! https://archive.org/details/CommodoreUserIssue1121993Jan/page/n9/mode/1up https://en.wikipedia.org/wiki/Atari_Jaguar#Jaguar_VR https://en.wikipedia.org/wiki/Virtuality_(product) Leonard Tramiel - Part 2 - Atari https://www.patreon.com/posts/71643153   Atari shooting for $99 Jaguar https://archive.org/details/ElectronicGamingMonthly_201902/Electronic%20Gaming%20Monthly%20Issue%20042%20%28January%201993%29/page/n55/mode/1up https://en.wikipedia.org/wiki/Atari_Jaguar Leonard Tramiel - Part 2 - Atari https://www.patreon.com/posts/71643153   3DO reveals more https://archive.org/details/ElectronicGamingMonthly_201902/Electronic%20Gaming%20Monthly%20Issue%20042%20%28January%201993%29/page/n51/mode/1up https://en.wikipedia.org/wiki/3DO_Interactive_Multiplayer https://youtu.be/yxF1_wg2d_Q   Sony and Nintendo break up https://archive.org/details/ElectronicGamingMonthly_201902/Electronic%20Gaming%20Monthly%20Issue%20042%20%28January%201993%29/page/n55/mode/1up https://en.wikipedia.org/wiki/Super_NES_CD-ROM   EGM calls out NOA on CD BS https://archive.org/details/ElectronicGamingMonthly_201902/Electronic%20Gaming%20Monthly%20Issue%20042%20%28January%201993%29/page/n3/mode/1up   Johnny Turbo sets out to save gamers https://archive.org/details/vgce_93-01/page/n54/mode/1up   Sega introduces six button controller https://archive.org/details/ElectronicGamingMonthly_201902/Electronic%20Gaming%20Monthly%20Issue%20042%20%28January%201993%29/page/n57/mode/1up Joe Morici - Capcom https://www.patreon.com/posts/37289815   Game Genie comes to the SNES https://archive.org/details/vgce_93-01/page/n25/mode/1up https://en.wikipedia.org/wiki/Game_Genie   Nintendo launches Classic Series for NES https://archive.org/details/Game_Informer_Issue_008_January-February_1993 pg. 48   Intel reveals the new name for the 586 https://archive.org/details/eu_BYTE-1993-01_OCR/page/n35/mode/1up   Motorola jumps a generation https://archive.org/details/eu_BYTE-1993-01_OCR/page/n35/mode/1up   Is the 286 dead? https://archive.org/details/pc-review-15/page/34/mode/1up Paul Neurath - Looking Glass - Origin https://www.patreon.com/posts/54857109   UK's PC price war comes to a screeching halt https://archive.org/details/eu_BYTE-1993-01_OCR/page/n43/mode/1up https://archive.org/details/pc-review-15/page/20/mode/1up https://archive.org/details/CommodoreUserIssue1121993Jan/page/n9/mode/1up   IBM eyes Japan https://archive.org/details/eu_BYTE-1993-01_OCR/page/n43/mode/1up https://en.wikipedia.org/wiki/PC-98   Origin plans diverse future for Ultima brand https://archive.org/details/powerplaymagazine-1993-01/page/n6/mode/1up   Wolfenstein publishers ads dual https://archive.org/details/Computer_Gaming_World_Issue_102/page/n1/mode/1up https://archive.org/details/Computer_Gaming_World_Issue_102/page/n10/mode/1up https://archive.org/details/Computer_Gaming_World_Issue_102/page/n101/mode/1up   Jumpman LIVES!!! https://archive.org/details/PC-Player-German-Magazine-1993-01/page/n49/mode/1up https://en.wikipedia.org/wiki/Jumpman_(video_game)   ESPN and EA settle https://archive.org/details/vgce_93-01/page/n25/mode/1up   Double Dragon coming to cinemas https://archive.org/details/ElectronicGamingMonthly_201902/Electronic%20Gaming%20Monthly%20Issue%20042%20%28January%201993%29/page/n260/mode/1up https://www.imdb.com/title/tt0106761/?ref_=fn_al_tt_1   Deep Space Nine launches https://en.wikipedia.org/wiki/Star_Trek:_Deep_Space_Nine https://archive.org/details/ElectronicGamingMonthly_201902/Electronic%20Gaming%20Monthly%20Issue%20042%20%28January%201993%29/page/n259/mode/1up   Douglas Adams closes out Hitchhikers trilogy https://archive.org/details/Aktueller_Software_Markt_-_Ausgabe_1993.01/page/n12/mode/1up   Sears Business Centers close https://www.chicagotribune.com/news/ct-xpm-1993-01-14-9303162002-story.html   Recommended Links: The History of How We Play: https://thehistoryofhowweplay.wordpress.com/ Gaming Alexandria: https://www.gamingalexandria.com/wp/ They Create Worlds: https://tcwpodcast.podbean.com/ Digital Antiquarian: https://www.filfre.net/ The Arcade Blogger: https://arcadeblogger.com/ Retro Asylum: http://retroasylum.com/category/all-posts/ Retro Game Squad: http://retrogamesquad.libsyn.com/ Playthrough Podcast: https://playthroughpod.com/ Retromags.com: https://www.retromags.com/ Games That Weren't - https://www.gamesthatwerent.com/   Sound Effects by Ethan Johnson of History of How We Play.   Copyright Karl Kuras   Find out on the VGNRTM      

Do you fancy a 486 that (almost) fits in the palm of your hand? Do you miss LAN parties or couch gaming with your friends? Have you thought about disembodied brains that can play Pong? If any of the answers to those questions is yes or no or even if you simply like old computers/consoles/games then this is the show for you. Stick around until the end for this week's community question of the week! Thanks to everyone that let us know about some issues with last week's audio version of the podcast. Fingers crossed our host has sorted that issue out now.   00:00 - Show Opening 09:58 - How Many Brain Cells Does It Take To Play A Game? Story Link: https://edition.cnn.com/2022/10/13/world/brain-cells-pong-intl-scli-scn/index.html 24:43 - Chasing The Halo High Story Link: https://babylonbee.com/news/man-still-chasing-that-high-he-felt-playing-halo-at-lan-party-with-the-whole-gang 42:35 - Tiny 486/Pentium Era PC Using New Components Story Link: https://youtu.be/iFZJjNTxgu8 The HDD Clicker: https://www.youtube.com/watch?v=zxTtG9wmAFM 54:35 - Community Question of the Week

An airhacks.fm conversation with Dmitry Chuyko (@dchuyko) about: Logo on BK, and Basic on Nemiga, Pentium 1, AltaVista and Lycos, starting with Pascal, C, then Borland's Kylix, controlling the CD tray, managing toy production with MS Access, writing drivers for Windows at high school, math over programming, joining Borland, Visual Basic, C++, XSLT then Java, from C++ to Java, using Apache Xalan, using Apache FOP for transformations, fancy XML in 2003, Java on desktop, using Java on cellular phones, simplifying Java EE with visual modelling, working in a 4G startup, using JXTA for car to car communication, starting at QuickOffice, writing backend for Deutsche Bank, starting at Oracle performance team, if you want to go to Oracle, you go to Delphi, improving Java performance, joining BellSoft, Liberica JDK, BellSoft is top openJDK and JCP contributor, Liberica's native image Kit, Dmitry Chuyko on twitter: @dchuyko

É o fim de uma era: a Intel anunciou que vai aposentar a linha Pentium nos notebooks. A decisão foi uma surpresa, já que a marca é uma das mais fortes quando se trata de processadores. Lançada há quase três décadas, sua história se confunde com a própria popularização dos computadores pessoais. E desperta memórias de tempos em que mexer com PCs era coisa de aventureiro. No episódio de hoje, pegamos carona nesse adeus para relembrar o ápice do Pentium, a histórica rivalidade entre Intel e AMD e a gradual transformação do Pentium em Lentium. Se você quer passear pelos bons e velhos tempos, dá o play e vem com a gente!ParticipantesThiago Mobilon Paulo Higa Emerson AlecrimCréditos Produtor: Josué de OliveiraEdição e Sonorização: Raquel IgneArte da capa: Vitor Pádua 

Luego de una semana complicada por problemas de salud graves, volvimos con más fuerza a grabar el podcast tech diario Radiogeek, donde hablamos de #Microsoft – Disponible la actualización de Windows 11 2022; Google Fotos, habría corrompido las imágenes cargadas entre 2013 y 2015; #LG – Lo que podría haber sido el mejor smartphone plegable; vivo X Fold+ se hace oficial con SD 8+ Gen 1, batería mejorada y nueva combinación de colores y mucho más... Los temas del día: #Microsoft – Disponible la actualización de Windows 11 2022 https://infosertecla.com/2022/09/26/microsoft-disponible-la-actualizacion-de-windows-11-2022/ Como copiar la función «Isla Dinámica» del iPhone 14 en Android https://infosertecla.com/2022/09/26/como-copiar-la-funcion-isla-dinamica-del-iphone-14-en-android/ #Apple – LibreOffice tendrá un valor de USD 8.99 para usuarios de MacOS https://infosertecla.com/2022/09/26/apple-libreoffice-tendra-un-valor-de-usd-8-99-para-usuarios-de-macos/ #Intel eliminara sus marcas Pentium y Celeron https://infosertecla.com/2022/09/26/intel-eliminara-sus-marcas-pentium-y-celeron/ #LG – Lo que podría haber sido el mejor smartphone plegable https://infosertecla.com/2022/09/26/lg-lo-que-podria-haber-sido-el-mejor-smartphone-plegable/ Google Fotos, habría corrompido las imágenes cargadas entre 2013 y 2015 https://infosertecla.com/2022/09/26/google-fotos-habria-corrompido-las-imagenes-cargadas-entre-2013-y-2015/ La serie Galaxy S23 reutilizará la mayor parte del hardware de 2022 para una mejor experiencia https://www.sammobile.com/news/galaxy-s23-series-to-reuse-most-of-2022-hardware-for-better-experience/ vivo X Fold+ se hace oficial con SD 8+ Gen 1, batería mejorada y nueva combinación de colores https://www.gsmarena.com/vivo_x_fold_goes_official_with_sd_8_gen_1_improved_battery_and_new_colorway-news-55942.php El sistema operativo Tizen de Samsung ahora se enviará con televisores inteligentes de estas otras marcas https://www.sammobile.com/news/samsung-tizen-os-will-ship-with-smart-tvs-from-these-other-brands/ La tableta 2022 Amazon Fire 8 HD tiene una CPU un 30 por ciento más rápida https://arstechnica.com/gadgets/2022/09/the-2022-amazon-fire-8-hd-tablet-sports-30-percent-faster-cpu/ TikTok lanza el botón de comentario 'no me gusta' para todos los usuarios https://www.engadget.com/tiktok-dislike-comments-133432987.html?src=rss Samsung y los smartphones que recibirán Android 13 con One UI 5.0 antes de fin de año https://www.sammobile.com/news/exclusive-these-samsung-galaxy-phones-will-get-android-13-before-2023 WhatsApp se actualiza para poder crear enlaces de llamadas APOYANOS DESDE PAYPAL https://www.paypal.me/arielmcorg APOYANOS DESDE PATREON https://www.patreon.com/radiogeek APOYANOS DESDE CAFECITO https://cafecito.app/radiogeek Podes seguirme desde Twitter @arielmcorg (www.twitter.com/arielmcorg) También desde Instagram @arielmcorg (www.instagram.com/arielmcorg) Sumate al canal de Telegram #Radiogeekpodcast (http://telegram.me/Radiogeekpodcast)

We get the inside story of Incentive Software and the classic 3D Contruction Kit which allowed users to create 3D worlds on platforms like the ZX Spectrum, C64 and Amiga with special guest Paul Gregory. Paul's website: https://www.indigobeetle.co.uk/ Please visit our amazing sponsors and help to support the show: Bitmap Books https://www.bitmapbooks.com/ BetterHelp - You deserve to be happy. Try the world's largest on-line therapy service and get 10% off your first month by using our link at http://www.betterhelp.com/retro Get 3 months of ExpressVPN for FREE: https://expressvpn.com/retro We need your help to ensure the future of the podcast, if you'd like to help us with running costs, equipment and hosting, please consider supporting us on Patreon: https://theretrohour.com/support/ https://www.patreon.com/retrohour Get your Retro Hour merchandise: https://bit.ly/33OWBKd Join our Discord channel: https://discord.gg/GQw8qp8 Website: http://theretrohour.com Facebook: https://www.facebook.com/theretrohour/ Twitter: https://twitter.com/retrohouruk Instagram: https://www.instagram.com/retrohouruk/ Twitch: https://www.twitch.tv/theretrohour Upcoming events: Amiga 37 - 15th and 16th October Notts VGA Festival - https://www.nottsvge.com/ - 17th & 18th December 2022 Show notes: Golden Eye 007 comes to Xbox and Switch: https://bit.ly/3UBacjc Intel's retiring the Pentium: https://bit.ly/3UvWvBS Operation Wolf is back: https://bit.ly/3xKzAZR Atari 50 updates: https://bit.ly/3xLJBWI Phantom Fury: https://bit.ly/3SrnhcN

Windows 11 version 22H2 Arrives! Repeat after me: you use the Windows 11 2022 Update to upgrade to Windows 11 version 2022. Got it? Good. Because Microsoft does not. Windows 11 upgrade remains free, the hardware requirements are unchanged. Seekers with no blocking holds can use Windows Update or the Installation Assistant. Build number is 22621.521. Except when it isn't. (There are at least three, including .382 and .105) Paul has tried to upgrade several PCs. You'll never believe what happened next. Some features are coming in an October update, including tabs for File Explorer, updates to Photos app, new Taskbar overflow experience, and improved Nearby Share. Managed businesses will not get post-22H2 interim updates ... until 22H3. With one hilarious caveat. New business features are mostly security-related. But some of the best new features are for consumers too. New gaming features in Windows 11 22H2. New accessibility features. A theory about how Microsoft's A-B testing in the Beta channel previewed how 22H2 builds will work going forward, split between Home/Pro (features on) and Ent/Edu (features off). Plus: New Insider Preview builds today for some reason. New Photos app is now rolling out to Insiders. What about Windows 10 version 22H2? It's arriving in October No idea on new features, if any Hardware The Fall Surface launch date is official: October 12 Intel to rebrand Pentium, Celeron. How the mighty have fallen More Microsoft Microsoft Teams has a major new vulnerability. Microsoft: "Eh" Power Platform just got some interesting new features, all in the name of "Collaboration Apps" Microsoft Learn subsumes Docs, just like it did Channel 9. Hopefully not just like. Canva is creating a Docs web app, will take on Notion, Microsoft 365 The merged version of OneNote is coming in October Xbox Xbox September Update is here Logitech G Cloud is a handheld gaming machine with Xbox Game Pass Microsoft quietly changed how DRM works on Xbox. Here are the rest of September's Xbox Game Pass titles Hacker breaks into Rockstar, leaks lots of GTA VI footage Xbox app for Windows updated with HowLongToBeat integration and better performance Tips and Picks Tip of the week: Enable Smart App Control App pick of the week: Call of Duty: Modern Warfare II Open Beta Enterprise pick of the week: Power Up Developer pick of the week: Microsoft CTO of Azure Mark Russinovich is all in on Rust Beer Pick of the week:  Firestone Walker Maple Parabola Hosts: Leo Laporte, Mary Jo Foley, and Paul Thurrott Download or subscribe to this show at https://twit.tv/shows/windows-weekly Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Check out Paul's blog at thurrott.com Check out Mary Jo's blog at AllAboutMicrosoft.com The Windows Weekly theme music is courtesy of Carl Franklin. Sponsors: newrelic.com/windows Secureworks.com/twit Melissa.com/twit

Windows 11 version 22H2 Arrives! Repeat after me: you use the Windows 11 2022 Update to upgrade to Windows 11 version 2022. Got it? Good. Because Microsoft does not. Windows 11 upgrade remains free, the hardware requirements are unchanged. Seekers with no blocking holds can use Windows Update or the Installation Assistant. Build number is 22621.521. Except when it isn't. (There are at least three, including .382 and .105) Paul has tried to upgrade several PCs. You'll never believe what happened next. Some features are coming in an October update, including tabs for File Explorer, updates to Photos app, new Taskbar overflow experience, and improved Nearby Share. Managed businesses will not get post-22H2 interim updates ... until 22H3. With one hilarious caveat. New business features are mostly security-related. But some of the best new features are for consumers too. New gaming features in Windows 11 22H2. New accessibility features. A theory about how Microsoft's A-B testing in the Beta channel previewed how 22H2 builds will work going forward, split between Home/Pro (features on) and Ent/Edu (features off). Plus: New Insider Preview builds today for some reason. New Photos app is now rolling out to Insiders. What about Windows 10 version 22H2? It's arriving in October No idea on new features, if any Hardware The Fall Surface launch date is official: October 12 Intel to rebrand Pentium, Celeron. How the mighty have fallen More Microsoft Microsoft Teams has a major new vulnerability. Microsoft: "Eh" Power Platform just got some interesting new features, all in the name of "Collaboration Apps" Microsoft Learn subsumes Docs, just like it did Channel 9. Hopefully not just like. Canva is creating a Docs web app, will take on Notion, Microsoft 365 The merged version of OneNote is coming in October Xbox Xbox September Update is here Logitech G Cloud is a handheld gaming machine with Xbox Game Pass Microsoft quietly changed how DRM works on Xbox. Here are the rest of September's Xbox Game Pass titles Hacker breaks into Rockstar, leaks lots of GTA VI footage Xbox app for Windows updated with HowLongToBeat integration and better performance Tips and Picks Tip of the week: Enable Smart App Control App pick of the week: Call of Duty: Modern Warfare II Open Beta Enterprise pick of the week: Power Up Developer pick of the week: Microsoft CTO of Azure Mark Russinovich is all in on Rust Beer Pick of the week:  Firestone Walker Maple Parabola Hosts: Leo Laporte, Mary Jo Foley, and Paul Thurrott Download or subscribe to this show at https://twit.tv/shows/windows-weekly Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Check out Paul's blog at thurrott.com Check out Mary Jo's blog at AllAboutMicrosoft.com The Windows Weekly theme music is courtesy of Carl Franklin. Sponsors: newrelic.com/windows Secureworks.com/twit Melissa.com/twit

Windows 11 version 22H2 Arrives! Repeat after me: you use the Windows 11 2022 Update to upgrade to Windows 11 version 2022. Got it? Good. Because Microsoft does not. Windows 11 upgrade remains free, the hardware requirements are unchanged. Seekers with no blocking holds can use Windows Update or the Installation Assistant. Build number is 22621.521. Except when it isn't. (There are at least three, including .382 and .105) Paul has tried to upgrade several PCs. You'll never believe what happened next. Some features are coming in an October update, including tabs for File Explorer, updates to Photos app, new Taskbar overflow experience, and improved Nearby Share. Managed businesses will not get post-22H2 interim updates ... until 22H3. With one hilarious caveat. New business features are mostly security-related. But some of the best new features are for consumers too. New gaming features in Windows 11 22H2. New accessibility features. A theory about how Microsoft's A-B testing in the Beta channel previewed how 22H2 builds will work going forward, split between Home/Pro (features on) and Ent/Edu (features off). Plus: New Insider Preview builds today for some reason. New Photos app is now rolling out to Insiders. What about Windows 10 version 22H2? It's arriving in October No idea on new features, if any Hardware The Fall Surface launch date is official: October 12 Intel to rebrand Pentium, Celeron. How the mighty have fallen More Microsoft Microsoft Teams has a major new vulnerability. Microsoft: "Eh" Power Platform just got some interesting new features, all in the name of "Collaboration Apps" Microsoft Learn subsumes Docs, just like it did Channel 9. Hopefully not just like. Canva is creating a Docs web app, will take on Notion, Microsoft 365 The merged version of OneNote is coming in October Xbox Xbox September Update is here Logitech G Cloud is a handheld gaming machine with Xbox Game Pass Microsoft quietly changed how DRM works on Xbox. Here are the rest of September's Xbox Game Pass titles Hacker breaks into Rockstar, leaks lots of GTA VI footage Xbox app for Windows updated with HowLongToBeat integration and better performance Tips and Picks Tip of the week: Enable Smart App Control App pick of the week: Call of Duty: Modern Warfare II Open Beta Enterprise pick of the week: Power Up Developer pick of the week: Microsoft CTO of Azure Mark Russinovich is all in on Rust Beer Pick of the week:  Firestone Walker Maple Parabola Hosts: Leo Laporte, Mary Jo Foley, and Paul Thurrott Download or subscribe to this show at https://twit.tv/shows/windows-weekly Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Check out Paul's blog at thurrott.com Check out Mary Jo's blog at AllAboutMicrosoft.com The Windows Weekly theme music is courtesy of Carl Franklin. Sponsors: newrelic.com/windows Secureworks.com/twit Melissa.com/twit

On Windows Weekly, Paul Thurrott and Mary Jo Foley talk to Leo Laporte about Intel's rebranding of the old Pentium & Celeron CPU families in an effort to simplify product purchasing for consumers. End of an era! Full episode at twit.tv/ww795 Hosts: Paul Thurrott, Leo Laporte, and Mary Jo Foley You can find more about TWiT and subscribe to our podcasts at https://podcasts.twit.tv/

Windows 11 version 22H2 Arrives! Repeat after me: you use the Windows 11 2022 Update to upgrade to Windows 11 version 2022. Got it? Good. Because Microsoft does not. Windows 11 upgrade remains free, the hardware requirements are unchanged. Seekers with no blocking holds can use Windows Update or the Installation Assistant. Build number is 22621.521. Except when it isn't. (There are at least three, including .382 and .105) Paul has tried to upgrade several PCs. You'll never believe what happened next. Some features are coming in an October update, including tabs for File Explorer, updates to Photos app, new Taskbar overflow experience, and improved Nearby Share. Managed businesses will not get post-22H2 interim updates ... until 22H3. With one hilarious caveat. New business features are mostly security-related. But some of the best new features are for consumers too. New gaming features in Windows 11 22H2. New accessibility features. A theory about how Microsoft's A-B testing in the Beta channel previewed how 22H2 builds will work going forward, split between Home/Pro (features on) and Ent/Edu (features off). Plus: New Insider Preview builds today for some reason. New Photos app is now rolling out to Insiders. What about Windows 10 version 22H2? It's arriving in October No idea on new features, if any Hardware The Fall Surface launch date is official: October 12 Intel to rebrand Pentium, Celeron. How the mighty have fallen More Microsoft Microsoft Teams has a major new vulnerability. Microsoft: "Eh" Power Platform just got some interesting new features, all in the name of "Collaboration Apps" Microsoft Learn subsumes Docs, just like it did Channel 9. Hopefully not just like. Canva is creating a Docs web app, will take on Notion, Microsoft 365 The merged version of OneNote is coming in October Xbox Xbox September Update is here Logitech G Cloud is a handheld gaming machine with Xbox Game Pass Microsoft quietly changed how DRM works on Xbox. Here are the rest of September's Xbox Game Pass titles Hacker breaks into Rockstar, leaks lots of GTA VI footage Xbox app for Windows updated with HowLongToBeat integration and better performance Tips and Picks Tip of the week: Enable Smart App Control App pick of the week: Call of Duty: Modern Warfare II Open Beta Enterprise pick of the week: Power Up Developer pick of the week: Microsoft CTO of Azure Mark Russinovich is all in on Rust Beer Pick of the week:  Firestone Walker Maple Parabola Hosts: Leo Laporte, Mary Jo Foley, and Paul Thurrott Download or subscribe to this show at https://twit.tv/shows/windows-weekly Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Check out Paul's blog at thurrott.com Check out Mary Jo's blog at AllAboutMicrosoft.com The Windows Weekly theme music is courtesy of Carl Franklin. Sponsors: newrelic.com/windows Secureworks.com/twit Melissa.com/twit

On Windows Weekly, Paul Thurrott and Mary Jo Foley talk to Leo Laporte about Intel's rebranding of the old Pentium & Celeron CPU families in an effort to simplify product purchasing for consumers. End of an era! Full episode at twit.tv/ww795 Hosts: Paul Thurrott, Leo Laporte, and Mary Jo Foley You can find more about TWiT and subscribe to our podcasts at https://podcasts.twit.tv/

On Windows Weekly, Paul Thurrott and Mary Jo Foley talk to Leo Laporte about Intel's rebranding of the old Pentium & Celeron CPU families in an effort to simplify product purchasing for consumers. End of an era! Full episode at twit.tv/ww795 Hosts: Paul Thurrott, Leo Laporte, and Mary Jo Foley You can find more about TWiT and subscribe to our podcasts at https://podcasts.twit.tv/

Oracle released it's fiscal 2023 Q1 results and it showed massive year-on-year cloud-revenue growth. The numbers could only mean one thing – Oracle is set to win the race against other cloud vendors. With its accelerated growth, it may very well one-up Google Cloud and become the fastest growing cloud vendor in the industry. This and more on the Gestalt IT Rundown. Head to GestaltIT.com for show notes. Time Stamps: 0:00 - Welcome to the Gestalt IT Rundown 1:23 - Arm Announces Neoverse V2 CPU Cores 3:03 - Etherium Merger creates the second largest blockchain 7:08 - Uber Investigating Breach of Its Computer Systems 11:42 - ASE, TSMC team up for silicon photonics 15:13 - Intel says Goodbye to Celeron and Pentium in Laptops 19:05 - Oracle on Verge of Becoming World's Hottest Cloud Vendor 23:38 - Oracle reports 18% revenue growth after Cerner deal closes 27:05 - The Weeks Ahead 29:45 - Thanks for Watching Follow our hosts on Social Media Tom Hollingsworth: https://www.twitter.com/NetworkingNerd Stephen Foskett: https://www.twitter.com/SFoskett Follow our Guest Hosts: Corey Dirrig: https://www.twitter.com/IAmCoreyInHD Girard Kavelines: https://www.twitter.com/GKavelines Jim Czuprynski: https://www.twitter.com/JimTheWhyGuy Follow Gestalt IT Website: https://www.GestaltIT.com/ Twitter: https://www.twitter.com/GestaltIT LinkedIn: https://www.linkedin.com/company/1789

Miura 1 listo par alanzar / Hackeo masivo a Uber / Filtración gigante de GTA 6 / Listos para impactar con Dimorphos / EVGA y Nvidia se divorcian / Surface Laptop SE por 299 euros Patrocinador: En las estaciones de servicio de BP puedes conseguir un ahorro de hasta 40 céntimos por litro y participar en el sorteo de 1.000 repostajes gratis cada día. Descárgate la app Mi BP para tu Android o iPhone, y úsala cuando vayas a repostar BP Ultimate con tecnología Active. — Lo mejor para tu coche y tu bolsillo. Miura 1 listo par alanzar / Hackeo masivo a Uber / Filtración gigante de GTA 6 / Listos para impactar con Dimorphos / EVGA y Nvidia se divorcian / Surface Laptop SE por 299 euros

No evidence user accounts were compromised in hack, says Uber. Looks like no user data was compromised in LastPass hack. Intel dropping the Celeron and Pentium names.

Sources & Timestamps! 0:00 - Intro 00:19 - EVGA Done With Nvidia: https://bit.ly/3BqD9pd https://engt.co/3BQZNbN https://bit.ly/3qPHf5o 06:54 - Goodbye Celeron & Pentium: https://bit.ly/3Bt1aM8 07:11 - Cryptostonks: http://bit.ly/2GkIP8y https://bit.ly/339VGVS https://bit.ly/3uUj19Q https://yhoo.it/3bFclob https://yhoo.it/bSRrxsM 07:36 - UFD Deals: https://www.ufd.deals/ https://geni.us/02XBM https://geni.us/5FXh 08:13 - YouTube Testing: https://bit.ly/3Umef2m https://bit.ly/3LpMbY3 10:07 - 13900K: https://bit.ly/3Lvpp12 10:38 - More 4090 Pics: https://bit.ly/3RTIIU9 https://bit.ly/3Bi9VZu 11:19 - GTA VI Leaks: https://engt.co/3qNhuCx https://bit.ly/3LrYzXE https://bit.ly/3qOp002 https://bit.ly/3UcNs8K ► Follow me on Twitch - http://www.twitch.tv/ufdisciple ► Join Our Discord: https://discord.gg/GduJmEM ► Support Us on Floatplane: https://www.floatplane.com/channel/uf... ► Support Us on Patreon: https://www.patreon.com/UFDTech ► For the outro music by Kalyptra: https://goo.gl/KyLzTB ► Twitter - http://www.twitter.com/ufdisciple ► Facebook - http://www.facebook.com/ufdtech ► Instagram - http://www.instagram.com/ufd_tech ► Reddit - https://www.reddit.com/r/UFDTech/ Presenter: Brett Sticklemonster Videographer: Brett Sticklemonster Editor: Catlin Stevenson Thumbnail Designer: Reece Hill --- Support this podcast: https://anchor.fm/ufdhotnews/support

0:00 we're just different 0:10 EVGA breaks up with Nvidia 1:44 Intel drops Pentium, Celeron branding 2:44 YouTube adds more ads 3:35 Anker Nano 3 4:02 QUICK BITS 4:10 Uber security breach 4:41 TikTok Now copies BeReal 5:10 ACT-1 AI is a real assistant 5:44 PSVR2 not backward compatible 6:27 Halo Infinite co-op works fine News Sources: https://lmg.gg/EMT3m

Plan 9: An exercise in futility It is my right to exercise my futility wherever, whenever, and with whoever I please Some ideas about Plan 9: It's like the uncanny valley of UNIX Cool, but useless Can you sum up plan 9 in layman's terms? It does everything Unix does only less reliably - Ken Thompson If you cannot imagine a use for a computer that does not involve a web browser, Plan 9 may not be for you - 9front FQA #d/0:28: null list in concatenation History and description The boys at bell labs decide UNIX wasn't good enough so they decided to build something better: a distributed multiuser operating system composed of many machines. Many of the same ideas behind UNIX were pushed to absurd extremes. The idea that "everything is a file" is made blatantly apparent to everyone and sometimes, in my opinion, can feel 'overly-abstracted'. Additionally, the concept of private namespaces makes the concept of virtual filesystems seem like 'baby's first filesystem abstraction'. Just like UNIX, 9 started as a research operating system. Both are enjoyed by hobbyists, both are interesting ways of using a computer, both have a lot of fun in store. But the systems do diverge in one major aspect: UNIX is mainstream and 9 is still a research operating system. Plan 9 is currently distributed under the MIT license. "What is plan 9?", Taken directly from intro(1): Plan 9 is a distributed computing environment assembled from separate machines acting as terminals, CPU servers, and file servers. A user works at a terminal, running a window system on a raster display. Some windows are connected to CPU servers; the intent is that heavy computing should be done in those windows but it is also possible to compute on the terminal. A separate file server provides file storage for terminals and CPU servers alike. In practice, modern 9 users just run all of these services on a single machine because maintaining many machines to achieve a single usable 'operating system' is unnecessary; the 9 user finds himself scared and alone without enough users (1 is rarely enough) to justify building a distributed environment. Use cases Intended: distributed multiuser network (ie not mainframe), later embedded since UNIX was too bad to be stopped Actual: Acting like a UNIX hipster, pretending that 9 is anything other than vaporware, imagining that you are gaining social credit by posting screenshots of abandonware on internet forums. See also: Operating System Tourism 9 in the wild Unicode is now a plague rfork 9p leveraged by microsoft to discourage end users from actually running GNU+Linux as St Ignucius intended QEMU's VirtFS various window managers for UNIX, written by people who like the ideas behind 9 but not enough to actually run 9 "cool idea, I'm adding it to Linux" private namespaces union directories see: docker Design The goal of 9 was to build a distributed operating system that expands upon Unixy ideas, not to build something that's backwards compatible. "We want to improve UNIX" is mutually exclusive to "we want to port UNIX to this wacky new kernel". UNIX programs (and behemoths like FireFox) are difficult^impossible to port to 9 because of this design decision. Distributed operating systems Since 9 was designed to be a distributed operating system, many of the internals are oriented towards networking. On a single system installation, all three of the components that make a 9 network are working together in a client-server model. The filesystem is presented as a service, the CPU is presented as a service, and the terminal is presented as a service. This type of "abstraction from the physical hardware" makes it difficult to succinctly describe and explain 9. If you think about 9 as a heterogeneous network of machines the ideas start to make sense. If you think about 9 as a self-contained single-machine operating system the ideas only become more confusing. One thing that has helped me wrap my head around the client/server idea is actually thinking less. When running a MySQL server in a LAMP stack, the database server and client are running on the same machine. When writing a program, you instruct the client to access the database located at the address localhost. Despite the design intention to run the database as a separate machine, loopback device hacks ensue. The idea of client/server permeates 9. The filesystem? Presented as a server regardless of what physical machine it's located on. The CPU? Presented as a server regardless of what physical machine it's located on. The terminal? Presented as a server regardless of the physical machine it's located on. On a single machine 9 installation, all of these servers are running locally but accessed as if they were running remotely. Insanity ensues but at least it's easier to write code for. 9p: the Plan 9 Filesystem Protocol 9p is a networking protocol that makes this client/server model possible. Internally, the filesystem is served to the client over 9p. Many applications make use of 9p, including text editors, windowing systems, plumber, etc. In UNIX, everything is a file. In 9, everything is a filesystem accessed via 9p. Private Namespaces, Union Directories The most important aspect of 9: namespaces. Namespaces have caused me much confusion until recently. In 9, each process constructs a unique view of the filesystem. The phrase that gets stuck in my head is "a private namespace is a per-process view of the filesystem". The easiest way to think about namespaces is to think about a "virtual directory". Unix has "virtual filesystems", 9 has "virtual directories". The concept of namespaces allows a user to pull resources from all over the network and present them as "a single local filesystem" with absolute disregard for where these resources are actually coming from. In order to construct a namespace, union directories are used. A union directory is a directory made of several directories bound to the same directory. This concept is similar to a bind mount on UNIX. The kernel keeps separate mount table for each process. Using namespaces, a user or admin can create more secure isolated environments (similar to a chroot). Processes and their children are grouped together so that inheritance of the namespace occurs. These process groups can be customized. The 'per-process namespace' concept can be confusing to UNIX users at first, especially when binding (ie mounting) resources. When I first started using 9 I was very confused when I bound something in one terminal, switched to another, then became disoriented as the thing I just bound seemingly stopped existing. My big example is mounting the boot partition or a filesystem over ssh: # In this window, I have bound the boot partition. # It behaves expectedly. term% 9fs 9fat term% lc /n 9/ 9fat/ other/ ssh/ term% lc /n/9fat 9bootfat 9pc64 oldplan9.ini plan9.ini 9pc efi/ pbs.bak term% # In this other window, the boot partition doesn't seem to be mounted. # This causes much confusion for the end user. term% lc /n 9/ 9fat/ other/ ssh/ term% lc /n/9fat term% Files The second most important aspect of 9: "Everything is a file" taken to absurdist absolutes. The kernel presents hardware devices as files bound to /dev. Within the namespace, devices are just files. Outside the namespace, devices are named with a leading # to help distinguish between pseudo-files and devices. These physical devices are bound to /dev/ and presented as files for easy administration, access, and programming. Presenting everything as a file accessible via 9p greatly reduces the total number of system calls. Examples of "Everything is a file": # The clipboard in 9 is called /dev/snarf # We can easily write and read from this clipboard term% cat /dev/snarf SYNOPSIS #include #include #include term% term% fortune > /dev/snarf term% cat /dev/snarf If at first you succeed, try to hide your astonishment. term% # The display in 9 is called /dev/screen # We can easily take a screenshot term% file /dev/screen /dev/screen: plan 9 image, depth 32, size 1366x768 term% cat /dev/screen | topng > screenshot.png term% file screenshot.png screenshot.png: PNG image term% Message oriented filesystem Continuing with the idea that "everything is a filesystem", processes can offer services to other processes by placing virtual files into other processes' namespaces. File I/O on this special virtual file becomes interprocess communication. This is similar to a UNIX socket but significantly less difficult to program against because all of the hard parts have been abstracted: it's just simple file I/O. Virtual filesystem (with more special files) The /proc filesystem presents processes as a files in a filesystem. This makes writing programs that manage process extremely easy by reducing the total number of system calls to simple file I/O. The /proc filesystem allows users to manage processes using standard command line utilities like cat(1) and ls(1). Linux borrowed the idea of a /proc filesystem. Unicode Although the implementation is not fully internationalized, UTF-8 is fully there. Unicode is fully backwards compatible with ASCII. Thanks to ⑨, we now have people writing exclusively with primitive hieroglyphics instead of words. Portability Just like UNIX, 9 was designed with portability in mind. 9 is written in a strange dialect of ANSI C which means it's portable. Although the system is self hosting, images are rarely built on a self hosting environment. Instead, the end user will download a generic amd64 or i386 image, cross compile for the obscure target architecture, wrap it up in an install image, then burn that image to an install disk. After installation, it is generally a good idea to recompile the entire operating system so that your copy is self-hosted. The compiler suite is quite clever in that each compiler is named according to the target architecture, the object files are named according to the target architecture, etc. The alnum prefix/extensions are also shared by the various linkers and assemblers. 0c spim little-endian MIPS 3000 family 1c 68000 Motorola MC68000 2c 68020 Motorola MC68020 5c arm little-endian ARM 6c amd64 AMD64 and compatibles (e.g., Intel EM64T) 7c arm64 ARM64 (ARMv8) 8c 386 Intel i386, i486, Pentium, etc. kc sparc Sun SPARC vc mips big-endian MIPS 3000 family Filesystems Multiple filesystems are supported, most suck. The only one the average tourist has heard of is FAT. The one I use is cwfs64x(4). cwfs is a strange filesystem. Every night, it makes a dump of the filesystem. You can access these dumps by running: 9fs dump cd /n/dump/YYYY/MMDD/ And, managing the file server (trying to uncorrupt cwfs), all while the kernel is spraying error messages term% con -C /srv/cwfs.cmd help check tag check ream check free check After my system crashes, and after consulting fs(8), the above commands seem to solve my corruption problems. Not always. But sometimes. The cache is a WORM: Write Once Read Many filesystem. Traditionally, the "fast" hard drives would be backed up to tape archives. In the modern era, we have a WORM partition. The worm partition stores data forever so it will eventually get full and need cleaning. It is possible to run without a WORM but it's a bad idea. Built in version control. Data integrity not guaranteed. Secstore stores various passwords to nvram. BIOS integrety not gauranteed. If you don't like thrashing the nvram and it's limited write ops, an partition can be created and mouted as if it were nvram. Factotum stores various passwords in memory (like ssh-agent) Known forks Dead: Plan 9 From Bell Labs (also called 'Labs 9', the original) 9atom (even the domain has expired) Akaros Harvey (attempt to port 9 to GCC/Clang) NIX jehanneOS node9 inferno (in permanent limbo) Life Support: 9front (actively developed, many QOL patches) 9legacy (patches applied to Labs9) Plan 9 From User Space (also called 'plan9port', you will be laughed at) 9front is really the only 'usable' one because the QOL modifications add important things like general stability, git client, mercurial, ssh, various emulators, audio, WiFi, and USB support. Using 9 What does the 9 experience actually look like in 2022? You put 9 in a VM, posted a screenshot, shutdown the VM, then continued using Ubuntu because you can't play video games or easily watch videos online in 9. Hardware support in 9front is expanding but still limited. Refer to the list of supported hardware. I run 9front on a Thinkpad x220 and it seems to just work. Some people run it on a Raspi but I'm not sure why. It works quite well with KVM and QEMU if you're an OS tourist. I see no reason to add a dmesg because it will either work or it won't. Available software GNU might not be UNIX but 9 isn't even trying to be UNIX-like. GUI Unlink UNIX, 9 was designed with graphics in mind. Some people have said that the 9 GUI looks similar to a smalltalk machine but I think it's just the only good stacking window manager. A three button mouse is necessary for using 9front. Shift-rightclick emulates middle click. Rio Rio is the Plan 9 windowing system. It's the successor to 8½ window manager. Rio is lightweight compared to X11 because access to graphical hardware is built into the kernel and using files+namespaces to access input devices. The most brief way of explaining rio is to think of it as a rectangle multiplexer, where each rectangle is served a file interface (9p). Although rectangles might seem counterintuitive at first, thinking less hard makes it easier to use. I still have difficulty efficiently using a mouse-centric interface after using terminal interfaces almost exclusively for many years. I dislike the windows way of using a mouse but the 9 way seems to make quite a lot of sense when I "think less hard" and allow the intuition to take control. The argument for mouse-centric computing and text editing is that it's faster. Of course, the average vim user is editing text faster than the speed of thought but most people aren't the average vim user. Instead, they only know how to use arrow keys to move a cursor. Without memorizing hundreds of vim bindings (and forgetting the names and birth dates of your family members in the process), obviously a mouse is faster. Mouse controls are confusing at first because they follow the "click and hold, hover to option, release" to select an option. They look something like follows: Right click (window management controls) New Resize Move Delete Hide Middle click (text manipulation controls) cut paste snarf (copy highlighted text) plumb (send highlighted text to process, or, more effectively: open file with appropriate program) look (search for highlighted text) send (run highlighted text as a shell command) scroll (toggle autoscroll/noautoscroll) The left click button is used to select text and windows. The concept of mouse-chording is also prominent in rio but it's even more difficult to explain without a visual demonstration. Rio and it's windows also support UNIX style keyboard shortcuts: ^-u deletes from cursor to start of line ^-w deletes word before cursor ^-h deletes the character before the cursor ^-a moves the cursor to the start of the line ^-e moves the cursor to the end of the line ^-b moves the cursor back to the prompt ^-f is the autocomplete key, functionally equivalent to tab completion ^? (DEL key) is the equivalent to ^-c on UNIX Additionally, in a text window, the arrow keys and PgUp/PgDown keys behave as expected. The home/end keys scroll the window to the top/bottom of the text buffer respectively. These text windows have a built in pager so there is no more or less command. I can't decide if I like built in paging but it's definitely a thing to think about. The colorscheme of rio is dull and pastel and this is intentional. Less vibrant color schemes seem to fade away and become less obvious. Color themes like Tango, Linux Console, Solarized, all of KDE, and WIndows XP are very obvious but not in a good way. Bright colors are subtly distracting and make it difficult to concentrate. When I'm configuring a UNIX system with dwm, I borrow Rio's color theme because it's an anti-theme. Give it time. It's charming in it's own way. Modifying the source code for rio allows for custom color themes. It's possible but you will be laughed at. Setting a wallpaper is also possible but I don't do this because my windows are always covering the dull gray background. As for X11, the equis X11 server can only be run via linux compat layers. The lack of a viable X server is yet another reason 9 has no programs. Command Line Utilities The shell on 9 is called rc(1). It's like any other shell you've used except that you expect it to be bourne-like but it isn't. Standard UNIX shell concepts like pipes, file redirects, && and ||, etc. Scripting is not POSIX-like at all so reading the man page and various scripts written in rc is the only way to learn. Other various UNIX utilities exist and function as expected (although some of the ones you would like are missing). awk, grep, sed, cat, tar, gzip, ed, etc are present. Editors There are three primary ways of editing text on 9: ed(1), sam(1), and acme(1). There is no vi aside from the MIPS emulator, there is no emacs except for a man page explaining why there is no emacs. I have primarily used acme in the past, but sam is a much better editor. sam is a lot like a graphical version of ed. I still need to learn ed because it's the standard editor. Some of the standard vi commands are available and regex works. I like sam quite a lot but it seems to corrupt files when the system crashes. acme is a window manager, file browser, terminal emulator, and email client that some people use as a text editor. The coolest part about acme is the ability to write arbitrary editor and system commands in the menu bar, highlight them, then middle click to execute those commands. (Some of the ) Supported Networking Protocols IMAP good luck NTP IRC ircrc other non-default implementations exist FTP HTTP mothra is the standard web browser. It does not support CSS or all of the HTML tags. Obviously, javascript is unsupported. abaco exists. I've used it a few times. It renders slightly better than mothra but is a pain to use. Various inferno vaporware exists but the ports don't work NetSurf has been ported to 9front by leveraging components of APE. It almost works hget, like curl SSH it only works in conjunction with the vt(1) command. sshfs sshnet for proxying traffic VNC Various torrent software (magnet links not supported) Drawterm no, good luck, you will be laughed at Of course, 9p A Security aside Various server implementations for these protocols exist but you really shouldn't use them on the WAN as they are ancient, unmaintained, unaudited, and easy to exploit. Prime example: the /g/entoomen found a path traversal vulnerability in the 9front httpd server, then leveraged that vuln to exploit a vuln in the authentication system. Not that the boys back home did anything malicious with this bug . . . but the ability to pwn a system by sending cleverly crafted GET requests should tell you enough about the current state of security in 9. Firewall no Disk Encryption unreliable Access control what? filesystem cwfs has an poorly documented special user called none that is allowed to connect to fossil, cwfs, and maybe hjfs without a password. Set the nonone option in cwfs if you are even thinking about putting 9 on the internet. Don't even think about putting 9 on the internet UNIX compat layer (ape) APE is the ANSI POSIX Emulator. It doesn't work and is almost entirely empty. Lots of tiny programs to write, not much interest in writing lots of tiny program. There is a general attitude among 9 users that "9 is unique" porting POSIX libs to 9 would ruin the appeal. I almost think I agree with this sentiment. Emulation Linux don't GameBoy GameBoyAdvance NES SNES Sega MegaDrive/Genesis c64 vmx, a PC emulator (effectively virtualization) It's slow it almost works it crashes your system cwfs gets corrupted "runs" OpenBSD, Linux, and ancient Windows with graphics support and also various emulators for obscure architectures VCS Mercurial used to come with 9front but it has been removed. CVS does exist but not in the base system. A native git implementation exists and is in the base system. It's bare bones but it mostly works. Community Maintained Software The 9front community has been collecting known programs for some time and various other community software can be found in the wiki. Both are served as a ports system, similar to a BSD style ports system. There are no binary packages. Makefiles are broken. Programming Languages mkfiles 9 ships a program called mk(1). Syntax (in the simplest ways) is identical to UNIX make(1). The Absurdities of 9 C Plan 9 C is syntactically similar to ANSI C but it varies. The stdlibs on 9 are much simpler than the POSIX monster. /* POSIX C example */ #include int main(){ printf("hello, worldn"); return 0; } /* 9 C example */ #include #include void main(){ print("hello, worldn"); exits(0); } u.h contains CPU specific instructions, libc.h contains all of the system calls, time functions, math functions, unicode functions, and print functions. In contrast to POSIX, functions in 9c return strings instead of ints. # Compiling on UNIX $ cc main.c $ ./a.out hello, world $ # Compiling on 9 % 6c main.c % 6l main.6 % 6.out hello, world % In the 9 compiler example, I'm using the amd64 compiler and linker. Notice how the 6 persists as the prefix/suffix to help developers remember which architecture this specific program is written for. Instead of unspecific object files with a .o suffix, the object file's suffix is actually representative of what types of opcodes the file contains. Similarly, after linking, the 6. prefix tells us that the binary is for an amd64 processor. And also, the simplest UNIX program with buffers: read from stdin and write directly to stdout: /* POSIX C */ #include int main(int argc, char *argv[]){ char buf[32]; size_t bufs = sizeof(char)*32; size_t nread = 0; while((nread = fread(buf, 1, bufs, stdin)) > 0){ fwrite(buf, 1, nread, stdout); } return 0; } /* Plan 9 C */ #include #include void main(int argc, char *argv[]){ char buf[32]; char bufs = sizeof(char)*32; int nread = 0; while((nread = read(0, buf, bufs)) > 0){ write(1, buf, nread); } exits(0); } In 9, stdin is file descriptor 0, stdout is 1, and stderr is 2. And, the binary sizes betwen the two. You probably recognize a.out, this one was compiled with GCC. 6.out is an amd64 Plan 9 binary compiled on 9. $ ls -sh ./*.out 4.0K ./6.out 28K ./a.out Binaries on plan 9 are statically linked. It's somewhat strange to see that a statically linked binary is smaller than a dynamically linked one. Even compiling the plan 9 source on Linux using plan9port yeilds a large binary: 40K. I have not written 9C in a long time so I cannot say much more with confidence and authority. Refer to C Programming in Plan 9 from Bell Labs for more information. The acid(1) debugger exists but it's hard to use if you're not fluent in assembly. Ancient Go Ancient Go once ran on 9. In 2022, you're better off just writing C and rc. WiFi Some wifi cards are supported on 9front. My thinkpad x220 uses the iwl drivers. The FQA is somewhat vague when it comes to actually using the drivers. Good luck :) Why isn't 9 more popular if it supposedly improves on "bad Unix ideas"? Unix is 'just good enough' 9 is not 'better enough' to beat out 'just good enough' Porting software is difficult^impossible because 9 was deliberately written to be not backwards compatible. "If you port it, they will come" 9 is uncomfortable to use if you have Unix muscle memory no modern web browser no video games (I'm pretty sure there are doom and quake source ports though) multimedia consumption is hard no GNU Why do people use 9 if it's so bad? I can't be sure about all other ~20 Plan 9 fans in the world, but for myself, it's purely out of a genuine curiosity and love for computing. My motivation for learning obscure, unnecessary, and quite frankly boring things related to computers is that it brings me some sense of satisfaction/accomplishment/enjoyment. Linux stopped being fun for me when I came to the realization that all distributions are fundamentally the same. I started exploring the BSD world only to realize that all UNIX-like operating systems are fundamentally the same. Although BSD remains a store of fun for me, I occasionally feel burned out on UNIX even if it's an abstract idea/experience/codebase I cherish. When I sit down at a computer my goal is always to discover something new, learn a new concept, explore alternative paradigms, and, most of all, to have fun in the process. For most people, 9 is a tourist experience. For me, it's the final frontier. Although I have yet to learn as much about 9 as I have about UNIX, every time I swap hard drives and boot into 9 I feel a sense of coming home. Sometimes I think I am wilfully resisting becoming a 9 expert because it will result in me struggling to find the next non-bad OS paradigm to explore. And when I think about "using a computer", what do I really do on the computer? I learn about it, learn about the software running on it, and proceed to write about it so that I can reinforce the ideas in a Feynman-esque way. I'm not really providing a real tangible value to the world because it's purely a "hey, here's the things I learned the hard way so you don't have to". Conclusion: How do I do xyz on 9? don't. search engines won't help. Man pages won't help. /sys/doc might help. Reading the source code won't help. have fun :) Or consider: term% vt -xb term% ssh user@host $ tmux a $ reset # some commands $ reset # some commands $ reset Alternatively: term% vncv host:display Further reading: 9front FQA. Very humorous, good information read the papers in /sys/doc or on cat-v.org Plan 9: Not dead, Just resting A visual demonstration of rio A visual demonstration of acme C Programming in Plan 9 from Bell Labs Plan 9 Desktop Guide. Might be useful for someone. Not too useful for me. Man pages are better. C04tl3 youtube channel. Lots of cool videos with information. Introduction to Operating System Abstractions using Plan 9 from Bell Labs SDF public Plan 9 server

Will's longtime home server Flanders has finally given up the ghost, and now he's streamlined his life by moving to an integrated Synology box. After significant hands-on time, we get into the ins and outs of what it's like running network storage in this sort of turnkey, integrated box, including ease of setup, hardware specs and limitations, Will's possibly controversial feelings about Docker, Brad's slow descent into madness on the extreme other end of the NAS hardware spectrum, and more.Support the Pod! Contribute to the Tech Pod Patreon and get access to our booming Discord, your name in the credits, and other great benefits! You can support the show at: https://patreon.com/techpod

An airhacks.fm conversation with Guillaume Smet (@gsmet_) about: Amstrad CPC, then Pentium 75, typing long code listings, coding a website with 20, PHP 3 and PostgreSQL, separating code from HTML with PHP, building a CMS system with CVS, studying in Lyon, offer management software for the EU, from PHP to Java 1.4, using RedHat Webapplication Framework, Java 5 introduced annotations, C-JDBC sequoia and ObjectWeb, contributing to GForge the fork of sourceforge, developing PostgreSQL log analyzer, starting at Open Wide, PostgreSQL log analyzer was used by Instagram, 2003 - the first contribution to OpenSource, leaving smile, joining RedHat, using the Wicket Java web framework, Apache Wicket was component based, Apache Wicket was the Java's Swing UI for the web, episode with Struts committer: "#125 How Struts 2 Happened", Hibernate Search is an annotation-based approach to search, the project lead for Hibernate Validator, frequent calls from Emmanuel Bernard, Emmanuel Bernard was guest at the episode "#52 The First Line of Quarkus", Quarkus-the secret project at RedHat, project protein and Shamrock, Open Wide and smile, connecting Quarkus people, the challenge of growing fast and innovating at the same time, starting quarkiverse, dealing with external ClassLoaders, the monthly airhacks.tv show, the killer use case for quarkus dev mode is serverless, use production for AWS Lambda deployments and dev mode for local development, passionate Quarkus contributors, bytecode generation with gizmo, quarkus' build-time optimizations, Guillaume Smet on twitter: @gsmet_, on GitHub @gsmet and Guillaume's blog: in.relation.to/guillaume-smet/

On the occasion of Will's birth we're back for another year in review, this time taking a look at the year he went off to college, 1993 (or at least as much of it as we can fit into one episode). Join us as we gab about everything from NCSA Mosaic and the creation of the World Wide Web at CERN to the founding of Nvidia, the Pentium FDIV bug, the CG-free Jurassic Park that almost was, the inexplicable longevity of the .mp3, and more!Support the Pod! Contribute to the Tech Pod Patreon and get access to our booming Discord, your name in the credits, and other great benefits! You can support the show at: https://patreon.com/techpod

Contact info: Branislav Vajdic, Ph.D. CEO/Founder HeartBeam, Inc. 408.621.9465 2118 Walsh Ave., Ste. 210 Santa Clara, CA 95050 www.heartbeam.com NASDAQ: BEAT Bio: Branislav Vajdic, PhD, Chief Executive Officer and Founder of HeartBeam, Inc, combines over 30 years of experience in technology development and senior management positions. Dr. Vajdic has been deeply involved with the development of HeartBeam's technology to fit his vision for the Company. Prior to HeartBeam from 2007 to 2010, Dr. Vajdic was CEO and Founder of NewCardio, a publicly traded company in the cardiovascular devices space. From 1984 to 2007, Dr. Vajdic was at Intel, where he held various senior management position. At Intel, Dr. Vajdic and was the designer of first Flash memory and author of two key inventions that enabled Flash as a product. He also led engineering groups responsible for Pentium 1 through Pentium 4 designs. Dr. Vajdic was awarded two Intel Achievement Awards, the highest level of award for outstanding contributions to Intel. Dr. Vajdic is author of numerous patents and publications in the fields of cardiovascular devices as well as chip design. Dr. Vajdic holds a PhD degree in Electrical Engineering from the University of Minnesota.  Learn more about your ad choices. Visit megaphone.fm/adchoices