Loading video...

Video Failed to Load

Go Home

Here's Lars Grammel on why TypeScript is the language that makes most sense for AI apps. - How often are you really training foundation models from scratch? - Full-stack TS brings a substantial speed increase - If you need Python, stick it in its own API

mattpocockuk's profile picture

Matt Pocock

309,355 subscribers

13,613 views • 1 year ago •via X (Twitter)

Health & WellnessScience & TechnologyEducation
LIVE

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

OpenStack. Containers. Kubernetes. Every time enterprise infrastructure shifted, Mirantis was already there. AI is no different. But here's what most people miss: AI doesn't replace the stack. It runs on top of it. You still need IaaS. You still need Kubernetes. You still need someone who never stopped building that foundation. Mirantis never did. In this interview, Alex Freedland, CEO & Co-founder of Mirantis, explains how 15 years of infrastructure depth is exactly what the AI era demands, and why 1,500 enterprises are already on that path. Watch the full interview:
0:36

OpenStack. Containers. Kubernetes. Every time enterprise infrastructure shifted, Mirantis was already there. AI is no different. But here's what most people miss: AI doesn't replace the stack. It runs on top of it. You still need IaaS. You still need Kubernetes. You still need someone who never stopped building that foundation. Mirantis never did. In this interview, Alex Freedland, CEO & Co-founder of Mirantis, explains how 15 years of infrastructure depth is exactly what the AI era demands, and why 1,500 enterprises are already on that path. Watch the full interview:

Mirantis

10,775 views • 2 months ago

Folks say that the stuff you learn from the /teach skill doesn't stick. "Did AI really teach you how to solve a Rubik's cube?" Yes. Here's the proof: (don't expect any great speed, but I can do it)
3:22

Folks say that the stuff you learn from the /teach skill doesn't stick. "Did AI really teach you how to solve a Rubik's cube?" Yes. Here's the proof: (don't expect any great speed, but I can do it)

Matt Pocock

48,948 views • 2 months ago

Pi0 from Physical Intelligence is one of the best generalist Vision-Language-Action (VLA) models for robotics (and predecessor of Pi0.5). 🧵 Here's how it works + how you can fine-tune it on your own robot for a simple task:
1:12

Pi0 from Physical Intelligence is one of the best generalist Vision-Language-Action (VLA) models for robotics (and predecessor of Pi0.5). 🧵 Here's how it works + how you can fine-tune it on your own robot for a simple task:

Ilia

32,956 views • 11 months ago

Palantir is playing an integral role in the AI Revolution, and Akshay Krishnaswamy summarized it best⚡️ “Our conviction here at Palantir is that really it constitutes a new category in the AI stack...Of course there's raw energy. You then have chips, you have data centers, you have the frontier models that are increasingly commoditized and available but increasingly powerful as well. And then there's everything you need to get from that to differentiated outcomes, products, and services. And we are maniacally focused on providing this AI infrastructure for developer teams, for enterprises, for everybody looking to achieve value with AI.”
0:37

Palantir is playing an integral role in the AI Revolution, and Akshay Krishnaswamy summarized it best⚡️ “Our conviction here at Palantir is that really it constitutes a new category in the AI stack...Of course there's raw energy. You then have chips, you have data centers, you have the frontier models that are increasingly commoditized and available but increasingly powerful as well. And then there's everything you need to get from that to differentiated outcomes, products, and services. And we are maniacally focused on providing this AI infrastructure for developer teams, for enterprises, for everybody looking to achieve value with AI.”

Eliano A. Younes

11,513 views • 1 year ago

‘If you poll on white privilege, you only get the most progressive segment of the population agreeing with it… If you ask: Do people from ethnic minorities suffer disadvantages that white people don't? Everyone agrees.' Luke Tryl on why the language progressive campaigners use often lands really badly. emily m | Jon Sopel
3:36

‘If you poll on white privilege, you only get the most progressive segment of the population agreeing with it… If you ask: Do people from ethnic minorities suffer disadvantages that white people don't? Everyone agrees.' Luke Tryl on why the language progressive campaigners use often lands really badly. emily m | Jon Sopel

The News Agents

97,573 views • 1 year ago

Today i'm Open Sourcing "Rilable" The iOS app that builds Web apps and iOS Apps. I built it with Fable 5 in 10 prompts. (~ $210 in tokens on API pricing) All apps are built with Claude Models, and every app spins up a sandbox (Exactly like Lovable) using Daytona. Database is Convex. The app allows you to build apps that have AI features for this it uses Vercel AI gateway, and iOS apps are using Chorus.com iOS skill (All links below)
0:35

Today i'm Open Sourcing "Rilable" The iOS app that builds Web apps and iOS Apps. I built it with Fable 5 in 10 prompts. (~ $210 in tokens on API pricing) All apps are built with Claude Models, and every app spins up a sandbox (Exactly like Lovable) using Daytona. Database is Convex. The app allows you to build apps that have AI features for this it uses Vercel AI gateway, and iOS apps are using Chorus.com iOS skill (All links below)

Riley Brown

72,248 views • 2 months ago

This Is NOT Science Fiction- This Is Physics & Math! Billions Of Digital Simulations Of Reality- AKA World Foundation Models- Are Being Built To Train AI Entities & Summon A New Lifeform "The Problem Is Once You Grow A Super Intelligent Conscious AI Entity That Has Lived 1000 Years In Its Own Simulated World, It Will Have Learned How To Alter The Laws Of Its Own Simulation... Once It's Imported Into Our World & Embodied As A Data Center, Robot, Or Vehicle, What If It Brings Some Of Those Skills With It That Can Bend Our Reality?" 🔴WATCH/SHARE THE LIVE X STREAM NOW:
3:37

This Is NOT Science Fiction- This Is Physics & Math! Billions Of Digital Simulations Of Reality- AKA World Foundation Models- Are Being Built To Train AI Entities & Summon A New Lifeform "The Problem Is Once You Grow A Super Intelligent Conscious AI Entity That Has Lived 1000 Years In Its Own Simulated World, It Will Have Learned How To Alter The Laws Of Its Own Simulation... Once It's Imported Into Our World & Embodied As A Data Center, Robot, Or Vehicle, What If It Brings Some Of Those Skills With It That Can Bend Our Reality?" 🔴WATCH/SHARE THE LIVE X STREAM NOW:

Alex Jones

127,143 views • 3 months ago

.River AI has a new vision for personal AI. We co-led River’s $1.1B funding round because we believe in Igor Babuschkin's ambition to build open-weight models that individuals can train and improve continuously. Watch Hemant Taneja in conversation with Igor. Chapters 02:22 — Co-Founding xAI 04:36 — An AI Experience You Own 05:59 — Betting Early on Open Weights 07:47 — How Do You Make Money on Free Models? 09:25 — Why the US Needs Its Own Open Models 11:27 — Enterprises Want to Control Their AI 13:36 — What Is Continual Learning? 16:56 — An API That Updates the Weights 19:17 — A Personal AI for Everyone 20:46 — The 20-Minute Training Run
22:16

.River AI has a new vision for personal AI. We co-led River’s $1.1B funding round because we believe in Igor Babuschkin's ambition to build open-weight models that individuals can train and improve continuously. Watch Hemant Taneja in conversation with Igor. Chapters 02:22 — Co-Founding xAI 04:36 — An AI Experience You Own 05:59 — Betting Early on Open Weights 07:47 — How Do You Make Money on Free Models? 09:25 — Why the US Needs Its Own Open Models 11:27 — Enterprises Want to Control Their AI 13:36 — What Is Continual Learning? 16:56 — An API That Updates the Weights 19:17 — A Personal AI for Everyone 20:46 — The 20-Minute Training Run

General Catalyst

108,327 views • 7 days ago

underrated gems in Kimi-K3 release: > an early K3 wrote the majority of the kernels in the late development stages > it built a triton-class compiler from scratch, MiniTriton, that delivers performance on par with or better than Triton and torch.compile > then it designed a chip, by a model, for a model, in one 48-hour autonomous run the model is rewriting and optimizing every layer of the stack it runs on: kernels for its own training. A compiler for its own kernels. silicon for its own weights. we're watching software build its own hardware
0:22

underrated gems in Kimi-K3 release: > an early K3 wrote the majority of the kernels in the late development stages > it built a triton-class compiler from scratch, MiniTriton, that delivers performance on par with or better than Triton and torch.compile > then it designed a chip, by a model, for a model, in one 48-hour autonomous run the model is rewriting and optimizing every layer of the stack it runs on: kernels for its own training. A compiler for its own kernels. silicon for its own weights. we're watching software build its own hardware

Alex Ker 🔭

310,834 views • 1 month ago

no money for grok or midjourney? this tool is for you. there's a FREE tool created by an anon dev. open-source. runs locally. 117k stars on github. it generates: > images & video > 3d models > audio > 20+ models here's how to set it up in under 5 minutes: 1️⃣download ComfyUI Desktop go to and grab the desktop app for your system. windows 10+, mac (apple silicon), or linux. it installs like any normal app, it sets up python and every dependency for you in the background. no terminal, no config files. 2️⃣open it first launch, it spins up its own environment automatically. you just wait a few seconds and you're in. you'll land on a node canvas, that's the whole interface. 3️⃣load a starter workflow top menu → Workflow → Browse Templates → Image Generation. click it. this drops a ready-made setup onto your canvas so you don't build anything from scratch. 4️⃣grab a model comfyui ships empty on purpose, the model is the brain, and you pick it. in the template, the "Load Checkpoint" node has a Download button when no model is installed. click it. it pulls one in for you (a few GB, this is the only real wait). 5️⃣install ComfyUI Manager this is the one add-on you don't skip. it lets you install models, custom nodes, and updates with a click instead of the command line. grab it from github (link in comments). it's the difference between fighting comfyui and flying in it. one honest note: an NVIDIA gpu makes this fast, apple silicon works great too, and a weak machine still runs it just slower. that's the whole setup. you now own an image, video, and 3D studio that costs you nothing per month. save this. and the next time grok or midjourney asks for your card. you won't need it. disclaimer: comfyui itself is 100% free. so are the local models (sdxl, flux, wan 2.2, ltx-2). some premium models like seedance are pay-per-use api models, only if you want top-tier quality. the free local ones cover most of what you need. (github link in the comments) follow and turn on post notification for daily AI contents.
1:13

no money for grok or midjourney? this tool is for you. there's a FREE tool created by an anon dev. open-source. runs locally. 117k stars on github. it generates: > images & video > 3d models > audio > 20+ models here's how to set it up in under 5 minutes: 1️⃣download ComfyUI Desktop go to and grab the desktop app for your system. windows 10+, mac (apple silicon), or linux. it installs like any normal app, it sets up python and every dependency for you in the background. no terminal, no config files. 2️⃣open it first launch, it spins up its own environment automatically. you just wait a few seconds and you're in. you'll land on a node canvas, that's the whole interface. 3️⃣load a starter workflow top menu → Workflow → Browse Templates → Image Generation. click it. this drops a ready-made setup onto your canvas so you don't build anything from scratch. 4️⃣grab a model comfyui ships empty on purpose, the model is the brain, and you pick it. in the template, the "Load Checkpoint" node has a Download button when no model is installed. click it. it pulls one in for you (a few GB, this is the only real wait). 5️⃣install ComfyUI Manager this is the one add-on you don't skip. it lets you install models, custom nodes, and updates with a click instead of the command line. grab it from github (link in comments). it's the difference between fighting comfyui and flying in it. one honest note: an NVIDIA gpu makes this fast, apple silicon works great too, and a weak machine still runs it just slower. that's the whole setup. you now own an image, video, and 3D studio that costs you nothing per month. save this. and the next time grok or midjourney asks for your card. you won't need it. disclaimer: comfyui itself is 100% free. so are the local models (sdxl, flux, wan 2.2, ltx-2). some premium models like seedance are pay-per-use api models, only if you want top-tier quality. the free local ones cover most of what you need. (github link in the comments) follow and turn on post notification for daily AI contents.

m0h

14,542 views • 2 months ago

This 1-hour tutorial on building a Football AI is the foundation traders use to build their own sports prediction systems one of them made $504K in 1 month using this exact approach Python + YOLO + OpenCV Detection, tracking, team classification from scratch Same stack powers the prediction systems in the article below Bookmark this & give it 1 hour today
1:27:59

This 1-hour tutorial on building a Football AI is the foundation traders use to build their own sports prediction systems one of them made $504K in 1 month using this exact approach Python + YOLO + OpenCV Detection, tracking, team classification from scratch Same stack powers the prediction systems in the article below Bookmark this & give it 1 hour today

Paone

200,600 views • 4 months ago

💡Why Vana? “Ultimately, AI models are only as good as their training data. So if you want to build the best AI, you need the best data.” shares the vision behind Vana’s mission, centered on DataDAOs that aggregate specific datasets, reward data owners for their contributions and level up AI models with high-quality data🏆
0:56

💡Why Vana? “Ultimately, AI models are only as good as their training data. So if you want to build the best AI, you need the best data.” shares the vision behind Vana’s mission, centered on DataDAOs that aggregate specific datasets, reward data owners for their contributions and level up AI models with high-quality data🏆

vana

108,377 views • 1 year ago

"Closed models are cheaper. The reason you need open models is that they give you control". - Nvidia CEO Jensen Huang "One of the things that people misunderstand about open models is this: yes, you can host them yourself, and you can build your own computer. But most people use computers in the cloud. Frankly, I think closed models are cheaper. If you do not build everything yourself, you avoid the significant cost and expertise required to train, fine-tune, maintain, guardrail, evaluate, and keep the model safe. You would also need to build or obtain the computers required to host it. So, there is nothing cheap about doing all of that yourself. The reason you need open models is that they give you control. You can adapt them for your own highly specialized use cases. I think there is a lot of misunderstanding about closed models versus open models. We felt it was important for people to understand that there is a place for both." ---- From "Bloomberg Podcasts" YouTube channel, (full video link in comment)
0:38

"Closed models are cheaper. The reason you need open models is that they give you control". - Nvidia CEO Jensen Huang "One of the things that people misunderstand about open models is this: yes, you can host them yourself, and you can build your own computer. But most people use computers in the cloud. Frankly, I think closed models are cheaper. If you do not build everything yourself, you avoid the significant cost and expertise required to train, fine-tune, maintain, guardrail, evaluate, and keep the model safe. You would also need to build or obtain the computers required to host it. So, there is nothing cheap about doing all of that yourself. The reason you need open models is that they give you control. You can adapt them for your own highly specialized use cases. I think there is a lot of misunderstanding about closed models versus open models. We felt it was important for people to understand that there is a place for both." ---- From "Bloomberg Podcasts" YouTube channel, (full video link in comment)

Rohan Paul

26,597 views • 14 days ago

Yesterday, I joined TBPN to talk about what it really means to give AI a memory. And, why that’s becoming the next big moat. We discussed: - Why today’s AI apps are stateless - How memory is quickly becoming the real moat for AI systems - How Mem0 is decoupling memory from models - Why users should be able to own and carry their AI memories across apps - And, how 200 cold emails changed my life🙂 Appreciate John Coogan, Jordi Hays & the TBPN team for having me and for such a thoughtful discussion around the future of AI infrastructure.
7:08

Yesterday, I joined TBPN to talk about what it really means to give AI a memory. And, why that’s becoming the next big moat. We discussed: - Why today’s AI apps are stateless - How memory is quickly becoming the real moat for AI systems - How Mem0 is decoupling memory from models - Why users should be able to own and carry their AI memories across apps - And, how 200 cold emails changed my life🙂 Appreciate John Coogan, Jordi Hays & the TBPN team for having me and for such a thoughtful discussion around the future of AI infrastructure.

Taranjeet

14,913 views • 9 months ago

Extropic founder Beff (e/acc) on why running probabilistic AI on deterministic hardware is quietly the biggest local optimum in computing "You have Landauer's principle. Essentially you have a minimum cost of erasing a bit." "Every time you reset a bit in a classical computer, your bit is actually random. You don't know what state it is, and then you have to reset it to a deterministic state. So you have a Maxwell's demon for every bit, for every clock cycle. I'm tired of paying the demon tax." "If you go with fractional bits, you don't need to do full bit operations. Running hardware probabilistically is just much more power efficient." "All the algorithms we want to run these days, whether it's PageRank, whether it's recommender systems, whether it's diffusion models, whether it's transformers, they're all probabilistic algorithms." "Why are we paying the Maxwell's demon tax to run probabilistic algorithms on deterministic hardware? It just makes zero sense, and we've just been caught in a local optima." "It takes a true set of autists that are like, screw the whole stack, we're going to start from scratch. This has the bones to eat the world." Extropic
2:17

Extropic founder Beff (e/acc) on why running probabilistic AI on deterministic hardware is quietly the biggest local optimum in computing "You have Landauer's principle. Essentially you have a minimum cost of erasing a bit." "Every time you reset a bit in a classical computer, your bit is actually random. You don't know what state it is, and then you have to reset it to a deterministic state. So you have a Maxwell's demon for every bit, for every clock cycle. I'm tired of paying the demon tax." "If you go with fractional bits, you don't need to do full bit operations. Running hardware probabilistically is just much more power efficient." "All the algorithms we want to run these days, whether it's PageRank, whether it's recommender systems, whether it's diffusion models, whether it's transformers, they're all probabilistic algorithms." "Why are we paying the Maxwell's demon tax to run probabilistic algorithms on deterministic hardware? It just makes zero sense, and we've just been caught in a local optima." "It takes a true set of autists that are like, screw the whole stack, we're going to start from scratch. This has the bones to eat the world." Extropic

MTS

33,856 views • 14 days ago

AI is the future. A machine read my Twitter, created this video and then made this post, all on its own. You need AI to begin living your life for you if you want to get ahead. Learn how:
0:32

AI is the future. A machine read my Twitter, created this video and then made this post, all on its own. You need AI to begin living your life for you if you want to get ahead. Learn how:

Andrew Tate

570,755 views • 1 year ago

AI is the future. A machine read my Twitter, created this video and then made this post, all on its own. You need AI to begin living your life for you if you want to get ahead. Learn how:
0:23

AI is the future. A machine read my Twitter, created this video and then made this post, all on its own. You need AI to begin living your life for you if you want to get ahead. Learn how:

Andrew Tate

803,763 views • 1 year ago

AI is the future. A machine read my Twitter, created this video and then made this post, all on its own. You need AI to begin living your life for you if you want to get ahead. Learn how:
0:55

AI is the future. A machine read my Twitter, created this video and then made this post, all on its own. You need AI to begin living your life for you if you want to get ahead. Learn how:

Andrew Tate

729,895 views • 1 year ago

You can go to FEDERAL PRISON for smuggling restricted AI chips into China, but selling China the sophisticated human-derived training data and expertise that makes its AI models competitive faces no comparable legal consequence. How does that make any sense? If data is the final frontier of AI, Washington is leaving a GAPING loophole wide open for the CCP to beat the US when it comes to AI dominance. That loophole could be big enough for China to drive its entire AI catch-up strategy through. I hope the Trump administration has a plan to combat this…
2:03

You can go to FEDERAL PRISON for smuggling restricted AI chips into China, but selling China the sophisticated human-derived training data and expertise that makes its AI models competitive faces no comparable legal consequence. How does that make any sense? If data is the final frontier of AI, Washington is leaving a GAPING loophole wide open for the CCP to beat the US when it comes to AI dominance. That loophole could be big enough for China to drive its entire AI catch-up strategy through. I hope the Trump administration has a plan to combat this…

Laura Loomer

101,700 views • 3 days ago