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❓Fave nugget from our chat w GitHub CEO Thomas Dohmke on our latest Sequoia Capital Training Data episode with me & Sonya Huang 🐥: On what timeframe do you think AI will be as good as an average developer, and a 10x developer? 1⃣ Models today are able to... show more

Stephanie Zhan

32,160 subscribers

22,187 Aufrufe • vor 2 Jahren •via X (Twitter)

Anya Rossi• Live Now

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5 Kommentare

Profilbild von Stephanie Zhan

Stephanie Zhanvor 2 Jahren

@ashtom @sequoia @sonyatweetybird Apple Podcasts: Spotify: YouTube:

Profilbild von Enrique

Enriquevor 2 Jahren

@github @ashtom @sequoia @sonyatweetybird I'm watching now..... I really liked the Lego analogy Thomas gave.

Profilbild von Itamar Friedman

Itamar Friedmanvor 2 Jahren

@github @ashtom @sequoia @sonyatweetybird But, "prompting the right way and giving the right context" is a big portion of the development work (with or without AI) 🤔

Profilbild von Stephanie Zhan

Stephanie Zhanvor 2 Jahren

@github @ashtom @sequoia @sonyatweetybird Agreed!

Profilbild von Christopher Ott

Christopher Ottvor 2 Jahren

@github @ashtom @sequoia @sonyatweetybird Incredible to see happening in real time thanks for these episodes

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🤖 New Sequoia Capital Training Data pod drop with GitHub CEO Thomas Dohmke! A legendary company now at $2B ARR, with 2-year old Copilot now adopted by 77K+ orgs. CEO Thomas Dohmke chats with me and Sonya Huang 🐥 about: 1⃣Github Copilot and Workspace ushering in a new era of 1B developers 2⃣Agent applications across the developer workflow like code scanning Autofix 3⃣What he's excited about in AI in 1, 5, 10 years from today outside of developers, & more! 🔗👇

🤖 New Sequoia Capital Training Data pod drop with GitHub CEO Thomas Dohmke! A legendary company now at $2B ARR, with 2-year old Copilot now adopted by 77K+ orgs. CEO Thomas Dohmke chats with me and Sonya Huang 🐥 about: 1⃣Github Copilot and Workspace ushering in a new era of 1B developers 2⃣Agent applications across the developer workflow like code scanning Autofix 3⃣What he's excited about in AI in 1, 5, 10 years from today outside of developers, & more! 🔗👇

Stephanie Zhan

25,946 Aufrufe • vor 2 Jahren

We asked Shaun Maguire from Sequoia Capital about his latest thesis on AI models. "My current thinking is that the closest analogy is operating systems." "I think there'll be 10-100 times as many open source models in 10 years, but they won't be as valuable." "There are more Linux servers in the world than Microsoft servers, but the value capture of Microsoft is way greater than Linux." "Foundational models will have hardware moats like cloud and will profit from applications on top." From his appearance on the show in June.

We asked Shaun Maguire from Sequoia Capital about his latest thesis on AI models. "My current thinking is that the closest analogy is operating systems." "I think there'll be 10-100 times as many open source models in 10 years, but they won't be as valuable." "There are more Linux servers in the world than Microsoft servers, but the value capture of Microsoft is way greater than Linux." "Foundational models will have hardware moats like cloud and will profit from applications on top." From his appearance on the show in June.

TBPN

123,666 Aufrufe • vor 8 Monaten

We asked Shaun Maguire from Sequoia Capital about his latest thesis on AI models. "My current thinking is that the closest analogy is operating systems." "I think there'll be 10-100 times as many open source models in 10 years, but they won't be as valuable." "There are more Linux servers in the world than Microsoft servers, but the value capture of Microsoft is way greater than Linux." "Foundational models will have hardware moats like cloud and will profit from applications on top."

We asked Shaun Maguire from Sequoia Capital about his latest thesis on AI models. "My current thinking is that the closest analogy is operating systems." "I think there'll be 10-100 times as many open source models in 10 years, but they won't be as valuable." "There are more Linux servers in the world than Microsoft servers, but the value capture of Microsoft is way greater than Linux." "Foundational models will have hardware moats like cloud and will profit from applications on top."

TBPN

96,489 Aufrufe • vor 1 Jahr

Sam on Kimi, distillation, and open source: “I have always assumed that there are going to be great cheap models in the world, and we better be the greatest and the cheapest. You get a better deal today, at least at a particular latency, using OpenAI's models than Kimi. We distill our own models. That’s how we make smaller, cheaper models. That’s a very good thing to do. There will clearly be an important place for open source models in the world and people that will want their own weights. We have so much usage of our models that we do not need to be a gigantically high-margin business to be able to afford model training. I would rather people not distill from us, for sure. But this is not in my top ten list of worries.”

Sam on Kimi, distillation, and open source: “I have always assumed that there are going to be great cheap models in the world, and we better be the greatest and the cheapest. You get a better deal today, at least at a particular latency, using OpenAI's models than Kimi. We distill our own models. That’s how we make smaller, cheaper models. That’s a very good thing to do. There will clearly be an important place for open source models in the world and people that will want their own weights. We have so much usage of our models that we do not need to be a gigantically high-margin business to be able to afford model training. I would rather people not distill from us, for sure. But this is not in my top ten list of worries.”

Patrick OShaughnessy

266,073 Aufrufe • vor 10 Tagen

As Larry Ellison explains, there are two types of AI models: real-time models, also called AI on the edge, where you need ultra-low latency decisions (think autonomous driving or robotics), and models that don’t need an immediate response, like ChatGPT, where the system has time to reason. Real-time models require local compute inside the device, and these chips have nothing to do with the GPUs running in data centers. The AI-on-the-edge market is still largely untapped — and it’s going to be a multi-trillion-dollar opportunity. I believe $AMD will be one of the biggest beneficiaries

As Larry Ellison explains, there are two types of AI models: real-time models, also called AI on the edge, where you need ultra-low latency decisions (think autonomous driving or robotics), and models that don’t need an immediate response, like ChatGPT, where the system has time to reason. Real-time models require local compute inside the device, and these chips have nothing to do with the GPUs running in data centers. The AI-on-the-edge market is still largely untapped — and it’s going to be a multi-trillion-dollar opportunity. I believe $AMD will be one of the biggest beneficiaries

Daniel

151,698 Aufrufe • vor 7 Monaten

People used to pay me on on average to build their apps for $30K USD in less than a month. I was the go-to-guy because I knew how to build exactly what they wanted with little instruction and I always met their insane deadlines. I was known as "the machine", I wasn't the 10x developer I was the 100x developer. But it took its toll on my health and I left that do tech education. Claude Code can now do it. No computer science degree. No dev team. No $30K invoice. But most non-tech people are still stuck on the outside looking in because there is a tech knowledge gap. What if someone showed you all the steps, used plain speak, provided technical strategy, technical pathing, technical guidance, made it practical, and takes you to production. That's what my Claude Code from Zero course would be. But I'll be honest with you, this won't be a Udemy $20 priced course. It will be $300, $500 or $1200 depending on your needs. But do you want me to build it?

People used to pay me on on average to build their apps for $30K USD in less than a month. I was the go-to-guy because I knew how to build exactly what they wanted with little instruction and I always met their insane deadlines. I was known as "the machine", I wasn't the 10x developer I was the 100x developer. But it took its toll on my health and I left that do tech education. Claude Code can now do it. No computer science degree. No dev team. No $30K invoice. But most non-tech people are still stuck on the outside looking in because there is a tech knowledge gap. What if someone showed you all the steps, used plain speak, provided technical strategy, technical pathing, technical guidance, made it practical, and takes you to production. That's what my Claude Code from Zero course would be. But I'll be honest with you, this won't be a Udemy $20 priced course. It will be $300, $500 or $1200 depending on your needs. But do you want me to build it?

Andrew Brown

26,909 Aufrufe • vor 4 Monaten

More than 800 people are in the field and hundreds more are behind the scenes working to restore service to our customers. Our focus today has been on assessing damage from the storm and restoring power to critical infrastructure—like hospitals—and main electrical feeders, like in #Yarmouth as seen here today. We do our best to give an estimate of when the power will be restored. Once our crews are able to assess damage to infrastructure, those estimates will be updated. The latest information is available on the outage map: #TropicalStormLee #NSStorm

More than 800 people are in the field and hundreds more are behind the scenes working to restore service to our customers. Our focus today has been on assessing damage from the storm and restoring power to critical infrastructure—like hospitals—and main electrical feeders, like in #Yarmouth as seen here today. We do our best to give an estimate of when the power will be restored. Once our crews are able to assess damage to infrastructure, those estimates will be updated. The latest information is available on the outage map: #TropicalStormLee #NSStorm

Nova Scotia Power

36,027 Aufrufe • vor 2 Jahren

Yann LeCun -- Meta's chief AI scientist and a Turing Award winner -- explains why scaling up LLMs will never reach human-level AI, and names the four things today's systems still can't do: "If you think that we're going to get to human-level AI by just training on more data and scaling up LLMs, you're making a mistake." "If you're an investor and you invest in a company that told you we're going to get to human-level AI and PhD level by just training on more data and with a few tricks... that was probably not a good idea." "There are ideas about how to go forward and have systems that are capable of doing what every intelligent animal and human are capable of doing, and that current AI systems are not capable of doing." "Understanding the physical world, having persistent memory, and being able to reason and plan. Those are the four characteristics that need to be there." "That requires systems that can acquire common sense, that can learn from natural sensors like video, as opposed to just text." The entire market is priced on a straight line from bigger models to AGI. One of the people who invented deep learning is telling you the line doesn't reach -- and that the real bottleneck isn't compute, it's world models. If he's right, the winner isn't whoever stacks the most GPUs. It's whoever teaches a machine to learn from video the way a child does.

Yann LeCun -- Meta's chief AI scientist and a Turing Award winner -- explains why scaling up LLMs will never reach human-level AI, and names the four things today's systems still can't do: "If you think that we're going to get to human-level AI by just training on more data and scaling up LLMs, you're making a mistake." "If you're an investor and you invest in a company that told you we're going to get to human-level AI and PhD level by just training on more data and with a few tricks... that was probably not a good idea." "There are ideas about how to go forward and have systems that are capable of doing what every intelligent animal and human are capable of doing, and that current AI systems are not capable of doing." "Understanding the physical world, having persistent memory, and being able to reason and plan. Those are the four characteristics that need to be there." "That requires systems that can acquire common sense, that can learn from natural sensors like video, as opposed to just text." The entire market is priced on a straight line from bigger models to AGI. One of the people who invented deep learning is telling you the line doesn't reach -- and that the real bottleneck isn't compute, it's world models. If he's right, the winner isn't whoever stacks the most GPUs. It's whoever teaches a machine to learn from video the way a child does.

Karl Mehta

34,770 Aufrufe • vor 1 Monat

From a single image, you can create CSI scenes in minutes with AI! all you need are the right prompts and models, and I’ll show you how to do it on Freepik just below 👇

From a single image, you can create CSI scenes in minutes with AI! all you need are the right prompts and models, and I’ll show you how to do it on Freepik just below 👇

TechHalla

89,316 Aufrufe • vor 7 Monaten

#WATCH | India AI Impact Summit 2026 | Delhi: Founder Chairman and CEO of Sampark Foundation & former CEO of HCL Technologies, Vineet Nayar says, "...From an employment point of view I think it is very important for us to understand that Indian companies, including Indian IT companies, are going to be profit-driven and therefore if you believe that they are going to create employment you must be dreaming. Therefore, the question is how do we create employment in this environment, and that employment comes from mass scale startups, which is what this government has already doing. So, how do we create new sets of people who are trying to solve new sets of problems not new sets of technology and if we do that we will get it right. I think we as Indians have to be very careful on who does data belong to and that is the debate we have a problem with. The LLM models which exist worldwide are far superior than the Indian models. Unfortunately, in India, we never develop products, so therefore we do not have SLMs and LLMs which are world-class. On one side, we have global LLM products which are coming to India and trading on our Indian data. Should we allowed that or should we not allowed that? But on the other side if we don't allow that then we have the data but we don't have the LLM models. So, how do we encourage technology completely to develop the LLM models. This needs radicals strategic thinking and a very important aspect otherwise we will either give up a data. So, I think it's a very critical aspect for us to think about - who does this data belong, what is the kind of incentives we are going to give to develop LLM technologies or SLM technologies fast so that we train on our data otherwise an LLM will come in with our data and we'll immediately see return and we'll celebrate and we will do all these kind of press releases but the India will lose a competitive advantage on something which is very critical for the next decade."

#WATCH | India AI Impact Summit 2026 | Delhi: Founder Chairman and CEO of Sampark Foundation & former CEO of HCL Technologies, Vineet Nayar says, "...From an employment point of view I think it is very important for us to understand that Indian companies, including Indian IT companies, are going to be profit-driven and therefore if you believe that they are going to create employment you must be dreaming. Therefore, the question is how do we create employment in this environment, and that employment comes from mass scale startups, which is what this government has already doing. So, how do we create new sets of people who are trying to solve new sets of problems not new sets of technology and if we do that we will get it right. I think we as Indians have to be very careful on who does data belong to and that is the debate we have a problem with. The LLM models which exist worldwide are far superior than the Indian models. Unfortunately, in India, we never develop products, so therefore we do not have SLMs and LLMs which are world-class. On one side, we have global LLM products which are coming to India and trading on our Indian data. Should we allowed that or should we not allowed that? But on the other side if we don't allow that then we have the data but we don't have the LLM models. So, how do we encourage technology completely to develop the LLM models. This needs radicals strategic thinking and a very important aspect otherwise we will either give up a data. So, I think it's a very critical aspect for us to think about - who does this data belong, what is the kind of incentives we are going to give to develop LLM technologies or SLM technologies fast so that we train on our data otherwise an LLM will come in with our data and we'll immediately see return and we'll celebrate and we will do all these kind of press releases but the India will lose a competitive advantage on something which is very critical for the next decade."

ANI

18,753 Aufrufe • vor 5 Monaten

I'm teaching a new course! AI Python for Beginners is a series of four short courses that teach anyone to code, regardless of current technical skill. We are offering these courses free for a limited time. Generative AI is transforming coding. This course teaches coding in a way that’s aligned with where the field is going, rather than where it has been: (1) AI as a Coding Companion. Experienced coders are using AI to help write snippets of code, debug code, and the like. We embrace this approach and describe best-practices for coding with a chatbot. Throughout the course, you'll have access to an AI chatbot that will be your own coding companion that can assist you every step of the way as you code. (2) Learning by Building AI Applications. You'll write code that interacts with large language models to quickly create fun applications to customize poems, write recipes, and manage a to-do list. This hands-on approach helps you see how writing code that calls on powerful AI models will make you more effective in your work and personal projects. With this approach, beginning programmers can learn to do useful things with code far faster than they could have even a year ago. Knowing a little bit of coding is increasingly helping people in job roles other than software engineers. For example, I've seen a marketing professional write code to download web pages and use generative AI to derive insights; a reporter write code to flag important stories; and an investor automate the initial drafts of contracts. With this course you’ll be equipped to automate repetitive tasks, analyze data more efficiently, and leverage AI to enhance your productivity. If you are already an experienced developer, please help me spread the word and encourage your non-developer friends to learn a little bit of coding. I hope you'll check out the first two short courses here!

I'm teaching a new course! AI Python for Beginners is a series of four short courses that teach anyone to code, regardless of current technical skill. We are offering these courses free for a limited time. Generative AI is transforming coding. This course teaches coding in a way that’s aligned with where the field is going, rather than where it has been: (1) AI as a Coding Companion. Experienced coders are using AI to help write snippets of code, debug code, and the like. We embrace this approach and describe best-practices for coding with a chatbot. Throughout the course, you'll have access to an AI chatbot that will be your own coding companion that can assist you every step of the way as you code. (2) Learning by Building AI Applications. You'll write code that interacts with large language models to quickly create fun applications to customize poems, write recipes, and manage a to-do list. This hands-on approach helps you see how writing code that calls on powerful AI models will make you more effective in your work and personal projects. With this approach, beginning programmers can learn to do useful things with code far faster than they could have even a year ago. Knowing a little bit of coding is increasingly helping people in job roles other than software engineers. For example, I've seen a marketing professional write code to download web pages and use generative AI to derive insights; a reporter write code to flag important stories; and an investor automate the initial drafts of contracts. With this course you’ll be equipped to automate repetitive tasks, analyze data more efficiently, and leverage AI to enhance your productivity. If you are already an experienced developer, please help me spread the word and encourage your non-developer friends to learn a little bit of coding. I hope you'll check out the first two short courses here!

Andrew Ng

1,224,777 Aufrufe • vor 2 Jahren

We're coming out of stealth to announce our cyber defense research lab. We are exploring data and post-training techniques to build superhuman cyber defenders. Our mission is to make sure the West always wins. The last 3 months we've built an automated data pipeline to create training data from 80k CVEs (aka public vulnerabilities). Our next topic? Post training a model that's better at fixing all the vulnerabilities in your codebase. Like really fixing them. Not saying it's secure when there are still ways to exploit them. Here are the questions that keep us awake at night: How do you train a model to defend without improving its capabilities to attack? What's the right reward? How to measure the defense capabilities? How do you create synth training data that reproduces real systems? What kind of access do you give an ai cyber defender? How far can you trust it? If you know insanely good cyber experts (red team, blue team, CTF aficionados) or ML engineers (synth data generation and post-training models), send them my way. We need to make models far better at defending.

We're coming out of stealth to announce our cyber defense research lab. We are exploring data and post-training techniques to build superhuman cyber defenders. Our mission is to make sure the West always wins. The last 3 months we've built an automated data pipeline to create training data from 80k CVEs (aka public vulnerabilities). Our next topic? Post training a model that's better at fixing all the vulnerabilities in your codebase. Like really fixing them. Not saying it's secure when there are still ways to exploit them. Here are the questions that keep us awake at night: How do you train a model to defend without improving its capabilities to attack? What's the right reward? How to measure the defense capabilities? How do you create synth training data that reproduces real systems? What kind of access do you give an ai cyber defender? How far can you trust it? If you know insanely good cyber experts (red team, blue team, CTF aficionados) or ML engineers (synth data generation and post-training models), send them my way. We need to make models far better at defending.

Paco Villetard

119,295 Aufrufe • vor 3 Monaten

Rep. Roy on One Big Beautiful Bill: “In my view, we still need to get the bill right and right now, I don't think the bill is right. I didn't come to Washington to make deficits worse. As much as I want the tax cuts to be extended, and I do. As much as that is important for the average hard working family, it is. As much as I think that we've made some improvements on Medicaid, that we've done some good on the inflation Reduction Act subsidies, we're still far away from where we need to be.”

Rep. Roy on One Big Beautiful Bill: “In my view, we still need to get the bill right and right now, I don't think the bill is right. I didn't come to Washington to make deficits worse. As much as I want the tax cuts to be extended, and I do. As much as that is important for the average hard working family, it is. As much as I think that we've made some improvements on Medicaid, that we've done some good on the inflation Reduction Act subsidies, we're still far away from where we need to be.”

Rep. Chip Roy Press Office

48,089 Aufrufe • vor 1 Jahr

Today Hume AI is releasing its latest text to audio and audio to text AI models. Remember this company? Brings emotions into your audio in a way others don't. But now better and here founder Alan Cowen gives me a deep dive into the audio/AI space and an update on their latest, coming later today.

Today Hume AI is releasing its latest text to audio and audio to text AI models. Remember this company? Brings emotions into your audio in a way others don't. But now better and here founder Alan Cowen gives me a deep dive into the audio/AI space and an update on their latest, coming later today.

Robert Scoble

22,440 Aufrufe • vor 10 Monaten

Netlify CEO Matt Biilmann on software development going from being a job to being a baseline skill: "Today you’re either a developer or not." "I think software development will just be a skill." "Just like with writing, there will still be professional writers, but all of us also have to know how to write as part of our jobs." "There'll still be some expert developers... but it’ll be the minority." Matt Biilmann Netlify martin_casado

Netlify CEO Matt Biilmann on software development going from being a job to being a baseline skill: "Today you’re either a developer or not." "I think software development will just be a skill." "Just like with writing, there will still be professional writers, but all of us also have to know how to write as part of our jobs." "There'll still be some expert developers... but it’ll be the minority." Matt Biilmann Netlify martin_casado

a16z

40,895 Aufrufe • vor 6 Monaten

Waymo Co-CEO on Waymo’s sensor approach in a new Bloomberg interview: “If you can see and smell and taste and have all of your senses—why wouldn’t you? Especially with a safety-critical function, we think it’s very important to take in as much data as possible to inform the models and achieve the outcomes. Then we can debate how we go forward from there. This has been critical to our approach.”

Waymo Co-CEO on Waymo’s sensor approach in a new Bloomberg interview: “If you can see and smell and taste and have all of your senses—why wouldn’t you? Especially with a safety-critical function, we think it’s very important to take in as much data as possible to inform the models and achieve the outcomes. Then we can debate how we go forward from there. This has been critical to our approach.”

Nic Cruz Patane

34,405 Aufrufe • vor 5 Monaten

ELON: CHINA HAS THE BEST OPEN SOURCE AI MODELS RIGHT NOW “The best open source models are generally from China, which is bizarre. I think the second best one, or maybe it’s better than second best, is Grok 2.5. The open source model is actually very good, and we will continue to open source our models.” Source: The All-In Podcast

ELON: CHINA HAS THE BEST OPEN SOURCE AI MODELS RIGHT NOW “The best open source models are generally from China, which is bizarre. I think the second best one, or maybe it’s better than second best, is Grok 2.5. The open source model is actually very good, and we will continue to open source our models.” Source: The All-In Podcast

Mario Nawfal

1,163,582 Aufrufe • vor 9 Monaten

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.”

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 Aufrufe • vor 1 Jahr

LEAKED AUDIO: In an all-hands meeting on April 30, Mark Zuckerberg tells employees that he's training AI on them ahead of mass layoffs. "The AI models learn from watching really smart people do things... The average intelligence of the people who are at this company is significantly higher than the average set of people that you can get to do tasks. So if we're trying to teach the models coding, for example, then having people internally build tools or solve tasks that help teach the model how to code, we think is going to dramatically increase our model's coding ability faster than what others in the industry have the capability to do, who don't have thousands and thousands of extremely strong engineers at their company."

LEAKED AUDIO: In an all-hands meeting on April 30, Mark Zuckerberg tells employees that he's training AI on them ahead of mass layoffs. "The AI models learn from watching really smart people do things... The average intelligence of the people who are at this company is significantly higher than the average set of people that you can get to do tasks. So if we're trying to teach the models coding, for example, then having people internally build tools or solve tasks that help teach the model how to code, we think is going to dramatically increase our model's coding ability faster than what others in the industry have the capability to do, who don't have thousands and thousands of extremely strong engineers at their company."

More Perfect Union

4,562,034 Aufrufe • vor 2 Monaten

You don't need to memorize a dozen Git commands on day one. Start with the visual tools in VS Code, learn what commits and branches actually do, and build from there. That's exactly what we're covering in our latest GitHub for Beginners episode.

You don't need to memorize a dozen Git commands on day one. Start with the visual tools in VS Code, learn what commits and branches actually do, and build from there. That's exactly what we're covering in our latest GitHub for Beginners episode.

GitHub

24,609 Aufrufe • vor 2 Monaten