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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... show more

Stephanie Zhan

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25,946 просмотров • 2 лет назад •via X (Twitter)

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Фото профиля Stephanie Zhan

Stephanie Zhan2 лет назад

Listen to the full episode 👇 Spotify: Apple Podcasts: YouTube:

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EN2 лет назад

@sequoia @github @ashtom @sonyatweetybird Training Data Podcast "GitHub CEO Thomas Dohmke on Building Copilot, and the the Future of Software Development" SUMMARY

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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 write better code than the average developer, if prompted in the right way and given the right context 2⃣ But models today lack creativity, critical thinking, and systems thinking... Models today still need to learn how to decompose problems and make the right technical decisions

❓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 write better code than the average developer, if prompted in the right way and given the right context 2⃣ But models today lack creativity, critical thinking, and systems thinking... Models today still need to learn how to decompose problems and make the right technical decisions

Stephanie Zhan

22,187 просмотров • 2 лет назад

Wow. GitHub CEO Thomas Dohmke just announced GitHub Copilot X: - Copilot Chat - "ChatGPT-like experience in your editor" powered by GPT-4 - Copilot for Pull Requests - AI-generated descriptions for pull requests on GitHub - GitHub Copilot for Docs - chat for *any* company's repos and docs, starting with React/Azure/MDN - GitHub Copilot CLI - compose commands and loops, and throw around obscure find flags to satisfy your query. as Benedict Evans might say, the incumbents are embracing and integrating AI into existing form factors faster than startups can build them. To win, startups have to create -new- form factors from first principles.

Wow. GitHub CEO Thomas Dohmke just announced GitHub Copilot X: - Copilot Chat - "ChatGPT-like experience in your editor" powered by GPT-4 - Copilot for Pull Requests - AI-generated descriptions for pull requests on GitHub - GitHub Copilot for Docs - chat for any company's repos and docs, starting with React/Azure/MDN - GitHub Copilot CLI - compose commands and loops, and throw around obscure find flags to satisfy your query. as Benedict Evans might say, the incumbents are embracing and integrating AI into existing form factors faster than startups can build them. To win, startups have to create -new- form factors from first principles.

swyx

2,052,221 просмотров • 3 лет назад

AI + lab robotics will change experimental science. 1. Data (both positive and negative results) shared daily among a team of AI agents pursuing different hypothesis 2. Lab robotics running 24/7 with lab experiments written in code that are easily reproducible Human scientists can shepherd the whole process with regular readouts of progress (sort of like every scientists getting to operate as principle investigator) -- these are real advantages over how we do this work today. Enjoyed chatting about it with Pat Grady and Sonya Huang 🐥 at Sequoia Capital!

AI + lab robotics will change experimental science. 1. Data (both positive and negative results) shared daily among a team of AI agents pursuing different hypothesis 2. Lab robotics running 24/7 with lab experiments written in code that are easily reproducible Human scientists can shepherd the whole process with regular readouts of progress (sort of like every scientists getting to operate as principle investigator) -- these are real advantages over how we do this work today. Enjoyed chatting about it with Pat Grady and Sonya Huang 🐥 at Sequoia Capital!

Jason Kelly

22,629 просмотров • 4 месяцев назад

VS Code was already used by millions of developers for agentic coding. However, the editor layout has traditionally been optimized for single-task and single-workspace workflows. Today, we're introducing a new window to enable our users (and ourselves!) to work with multiple agents across multiple projects: Agents. Now available in VS Code stable!

VS Code was already used by millions of developers for agentic coding. However, the editor layout has traditionally been optimized for single-task and single-workspace workflows. Today, we're introducing a new window to enable our users (and ourselves!) to work with multiple agents across multiple projects: Agents. Now available in VS Code stable!

Pierce Boggan

149,690 просмотров • 2 месяцев назад

A year ago he was teaching at a university - today he is CEO of Google Brain and shares how AI accelerated his career 5x 01:20 - from employee to CEO in 12 months with AI 09:44 - tools Google and Anthropic engineers use to work 5x faster 29:47 - AI replaced his investors team and developers after watching I realized that one year of work with AI replaces 20 years of career without it. Save & watch - the article below shows how to do in 1 year what takes others 20.

A year ago he was teaching at a university - today he is CEO of Google Brain and shares how AI accelerated his career 5x 01:20 - from employee to CEO in 12 months with AI 09:44 - tools Google and Anthropic engineers use to work 5x faster 29:47 - AI replaced his investors team and developers after watching I realized that one year of work with AI replaces 20 years of career without it. Save & watch - the article below shows how to do in 1 year what takes others 20.

Noisy

21,653 просмотров • 8 дней назад

How hot is this company? Go to X's search. Type "FactoryAI" and search. Look at just how much praise from developers this company is getting. Then come back and watch this. It is the state of the art of software engineering. The team at Factory goes deep with me today right after they launched a ton of new stuff for developers. You have never visited a San Francisco AI company like this. We cover everything from security to a demo at about 40 minutes in. Cofounder Eno Reyes kicks it off.

How hot is this company? Go to X's search. Type "FactoryAI" and search. Look at just how much praise from developers this company is getting. Then come back and watch this. It is the state of the art of software engineering. The team at Factory goes deep with me today right after they launched a ton of new stuff for developers. You have never visited a San Francisco AI company like this. We cover everything from security to a demo at about 40 minutes in. Cofounder Eno Reyes kicks it off.

Robert Scoble

113,928 просмотров • 10 месяцев назад

💫$1B ARR for the AI Cybersecurity Leader: A Major Milestone Crossed, A New Chapter Begins 💜 SentinelOne has achieved $1B in ARR, with our second quarter results highlighting the strength of our AI-powered platform, competitive position, and growing product differentiation 💪 ⭐ Highlights: • $1B ARR +24% YoY • Revenue +22% YoY • 79% gross margin (non-GAAP) • 5% net income margin (non-GAAP), +350+ bps YoY • 23% YoY growth in customers with $100K+ ARR • ~50% of quarterly bookings from Emerging Products (Data, AI, Cloud & more) ▶️We’ve spent more than a decade building Human + AI-powered cybersecurity, culminating in the first autonomous cybersecurity platform. With a relentless focus on innovations and the unification of AI, data, and security, SentinelOne is at the forefront of AI-powered defense—delivering high growth, driving operating leverage, and expanding our leadership in the industry. Crossing $1B ARR is a testament—and a big thank you—to our customers, partners, investors, and our Sentinels 🙏 🔗 Read the press release: 🎧 Earnings call / replay:

💫$1B ARR for the AI Cybersecurity Leader: A Major Milestone Crossed, A New Chapter Begins 💜 SentinelOne has achieved $1B in ARR, with our second quarter results highlighting the strength of our AI-powered platform, competitive position, and growing product differentiation 💪 ⭐ Highlights: • $1B ARR +24% YoY • Revenue +22% YoY • 79% gross margin (non-GAAP) • 5% net income margin (non-GAAP), +350+ bps YoY • 23% YoY growth in customers with $100K+ ARR • ~50% of quarterly bookings from Emerging Products (Data, AI, Cloud & more) ▶️We’ve spent more than a decade building Human + AI-powered cybersecurity, culminating in the first autonomous cybersecurity platform. With a relentless focus on innovations and the unification of AI, data, and security, SentinelOne is at the forefront of AI-powered defense—delivering high growth, driving operating leverage, and expanding our leadership in the industry. Crossing $1B ARR is a testament—and a big thank you—to our customers, partners, investors, and our Sentinels 🙏 🔗 Read the press release: 🎧 Earnings call / replay:

SentinelOne

11,271 просмотров • 11 месяцев назад

Varun Mohan (Varun Mohan) didn't set out to build one of the fastest-growing AI developer tools. He just knew his company had to change, or die. After initially betting on GPU virtualization, he saw the writing on the wall: if there was a future for his company, it would be at the AI application layer, not infra. So over a single weekend, he and his team pivoted to building @windsurf— a tool to help everyone, both technical and non-technical, write code faster and smarter. Today, Windsurf is used by over 1 million developers. Varun joined us on the Lightcone Podcast to talk about: - Irrational optimism and uncompromising realism - Pivoting at the edge of failure - Training new models from scratch - How they shipped fast and outpaced GitHub Copilot - Selling to enterprise and Fortune 500s - What the future of building with AI looks like

Varun Mohan (Varun Mohan) didn't set out to build one of the fastest-growing AI developer tools. He just knew his company had to change, or die. After initially betting on GPU virtualization, he saw the writing on the wall: if there was a future for his company, it would be at the AI application layer, not infra. So over a single weekend, he and his team pivoted to building @windsurf— a tool to help everyone, both technical and non-technical, write code faster and smarter. Today, Windsurf is used by over 1 million developers. Varun joined us on the Lightcone Podcast to talk about: - Irrational optimism and uncompromising realism - Pivoting at the edge of failure - Training new models from scratch - How they shipped fast and outpaced GitHub Copilot - Selling to enterprise and Fortune 500s - What the future of building with AI looks like

Y Combinator

172,611 просмотров • 1 год назад

Cursor CEO 6 days ago: "I started coding when I was 12" Meanwhile today he launched a direct GitHub competitor, a 1.5T frontier model trained from scratch and an iOS app to code from anywhere. all at their first ever conference. 15 people in a room two years ago. now 700 people and 60% of the Fortune 500. this was a declaration of war on the entire developer stack. btw if you're building with Claude Code. you can use its full power with ( everything that happened today in the thread below

Cursor CEO 6 days ago: "I started coding when I was 12" Meanwhile today he launched a direct GitHub competitor, a 1.5T frontier model trained from scratch and an iOS app to code from anywhere. all at their first ever conference. 15 people in a room two years ago. now 700 people and 60% of the Fortune 500. this was a declaration of war on the entire developer stack. btw if you're building with Claude Code. you can use its full power with ( everything that happened today in the thread below

Madni Aghadi

362,512 просмотров • 1 месяц назад

Excited to share that I’ve joined Anomaly as founding designer. I’m thrilled to work with Jay dax Frank Wang and Adam — a team stacked with talent! I’ve always been fascinated by challenges that influence the way people work. Today, AI is reshaping software development at a pace we’ve never seen. From solo developers to global enterprises, the way we write code has shifted dramatically in the past year, and will continue to change in the years ahead. This is an opportunity for me to help shape these experiences for everyone, regardless of frameworks, IDEs, or tools. I want to explore how they’re adopted and how they can have the greatest impact. The team is hard at work on OpenCode — the open source AI coding agent for the terminal. With over 23K stars on GitHub, it’s already changing how thousands of developers write code every day. Follow OpenCode as we go beyond the terminal and design and build world-class AI developer experiences ✌️

Excited to share that I’ve joined Anomaly as founding designer. I’m thrilled to work with Jay dax Frank Wang and Adam — a team stacked with talent! I’ve always been fascinated by challenges that influence the way people work. Today, AI is reshaping software development at a pace we’ve never seen. From solo developers to global enterprises, the way we write code has shifted dramatically in the past year, and will continue to change in the years ahead. This is an opportunity for me to help shape these experiences for everyone, regardless of frameworks, IDEs, or tools. I want to explore how they’re adopted and how they can have the greatest impact. The team is hard at work on OpenCode — the open source AI coding agent for the terminal. With over 23K stars on GitHub, it’s already changing how thousands of developers write code every day. Follow OpenCode as we go beyond the terminal and design and build world-class AI developer experiences ✌️

David Hill

172,131 просмотров • 10 месяцев назад

“AI won’t take people’s jobs. Other people who know how to use AI will” - Jensen Huang, NVIDIA CEO Jensen Huang said the quiet part out loud: AI revolution isn't about robots taking jobs. It's about people with AI taking jobs from people without AI. Why this matters more than it seems: We're fixated on the wrong question: 'Will AI replace me?' Right question: 'How do I use AI to become irreplaceable?' Real life examples: Junior developer with Copilot, supervised by Senior dev, can write Senior-level code Marketer with AI generates content like entire department Analyst with Claude conducts research like team of 5 This isn't 'AI does work for you'. It's 'AI enables you to do 10x more'. But here's uncomfortable truth: most people use AI at 5% capacity. ChatGPT for writing emails is like using supercomputer as calculator. Real moat in AI era: Ability to define tasks (prompting is the new coding) Ability to verify results (critical thinking > ever) Ability to combine AI tools (stack of AIs = superpower) Huang gave us warning. Those who heard - already learning. Others will wonder why they got replaced by 22-year-old kid with right AI stack. The race is on. But between humans who adapt and those who don't.

“AI won’t take people’s jobs. Other people who know how to use AI will” - Jensen Huang, NVIDIA CEO Jensen Huang said the quiet part out loud: AI revolution isn't about robots taking jobs. It's about people with AI taking jobs from people without AI. Why this matters more than it seems: We're fixated on the wrong question: 'Will AI replace me?' Right question: 'How do I use AI to become irreplaceable?' Real life examples: Junior developer with Copilot, supervised by Senior dev, can write Senior-level code Marketer with AI generates content like entire department Analyst with Claude conducts research like team of 5 This isn't 'AI does work for you'. It's 'AI enables you to do 10x more'. But here's uncomfortable truth: most people use AI at 5% capacity. ChatGPT for writing emails is like using supercomputer as calculator. Real moat in AI era: Ability to define tasks (prompting is the new coding) Ability to verify results (critical thinking > ever) Ability to combine AI tools (stack of AIs = superpower) Huang gave us warning. Those who heard - already learning. Others will wonder why they got replaced by 22-year-old kid with right AI stack. The race is on. But between humans who adapt and those who don't.

Rezo🛡₿RRR

50,818 просмотров • 1 год назад

Today we’re excited to unveil a new generation of Segment Anything Models: 1️⃣ SAM 3 enables detecting, segmenting and tracking of objects across images and videos, now with short text phrases and exemplar prompts. 🔗 Learn more about SAM 3: 2️⃣ SAM 3D brings the model collection into the 3rd dimension to enable precise reconstruction of 3D objects and people from a single 2D image. 🔗 Learn more about SAM 3D: These models offer innovative capabilities and unique tools for developers and researchers to create, experiment and uplevel media workflows.

Today we’re excited to unveil a new generation of Segment Anything Models: 1️⃣ SAM 3 enables detecting, segmenting and tracking of objects across images and videos, now with short text phrases and exemplar prompts. 🔗 Learn more about SAM 3: 2️⃣ SAM 3D brings the model collection into the 3rd dimension to enable precise reconstruction of 3D objects and people from a single 2D image. 🔗 Learn more about SAM 3D: These models offer innovative capabilities and unique tools for developers and researchers to create, experiment and uplevel media workflows.

AI at Meta

1,089,231 просмотров • 8 месяцев назад

🚨 RE/MAX CEO STEPS DOWN TO BECOME THE NEW CEO OF ESTATEX WEB2 - TO BRING IN MASSIVE PARTNERSHIPS TO THE ESX L1 BLOCKCHAIN 🚨 Hello EstateX family, We have a HUGE announcement to make: Steve Craggs has resigned as RE/MAX CEO to become fulltime CEO of the EstateX web2 department. He will lead everything on the corporate side, manage the local departments while Bart remains the CEO of the web3 department. With decades of experience in the property and financial sector, combined with billions of deals under his belt, we will now work together very thoroughly to bundle our corporate and crypto powers. With his massive contacts, proven by our first real estate offering powered by TUI, he will attract massive developers and corporates to branch out into tokenization and build on the ESX Blockchain. Just like another company did with DAMAC, and surged to billions, Steve Craggs will bring to EstateX. This is huge. Furthermore, he will get us the absolute best property offerings in partnership with the biggest brands and developers in the world. Steve can be a massive asset to this company, and him being integrated full time into the company is a massive testament of where this company is heading. SECURE YOUR $ESX TOKENS NOW BEFORE IT IS TOO LATE! 👇👇

🚨 RE/MAX CEO STEPS DOWN TO BECOME THE NEW CEO OF ESTATEX WEB2 - TO BRING IN MASSIVE PARTNERSHIPS TO THE ESX L1 BLOCKCHAIN 🚨 Hello EstateX family, We have a HUGE announcement to make: Steve Craggs has resigned as RE/MAX CEO to become fulltime CEO of the EstateX web2 department. He will lead everything on the corporate side, manage the local departments while Bart remains the CEO of the web3 department. With decades of experience in the property and financial sector, combined with billions of deals under his belt, we will now work together very thoroughly to bundle our corporate and crypto powers. With his massive contacts, proven by our first real estate offering powered by TUI, he will attract massive developers and corporates to branch out into tokenization and build on the ESX Blockchain. Just like another company did with DAMAC, and surged to billions, Steve Craggs will bring to EstateX. This is huge. Furthermore, he will get us the absolute best property offerings in partnership with the biggest brands and developers in the world. Steve can be a massive asset to this company, and him being integrated full time into the company is a massive testament of where this company is heading. SECURE YOUR $ESX TOKENS NOW BEFORE IT IS TOO LATE! 👇👇

EstateX

240,515 просмотров • 1 год назад

Today Reactor is coming out of stealth. We’ve raised $59M in Seed and Series A funding, led by Lightspeed, with participation from Amplify Partners, wndrco, Sky9 Capital, and FPV Ventures. Reactor is the platform for building in the World Model era: the infrastructure that lets developers build with them at global scale for the first time. Stream from a frontier World Model to your app, in real time, all in under 10 lines of code. World Models represent the next major shift in AI: pixels, audio and actions are generated on the fly, in real-time, in response to user inputs, and to the environment. Every time computing has made a shift from passive to interactive, entire industries appeared that didn't exist before. We're standing in front of such moment again. Over the last 6 months, we’ve assembled an all-star team with alumni from Apple, Meta, Google, Luma AI, Netflix, and Replicate. We're already partnering with some of the biggest names and labs in the world, and hundreds of developers are already building on Reactor. The World Model era starts now.

Today Reactor is coming out of stealth. We’ve raised $59M in Seed and Series A funding, led by Lightspeed, with participation from Amplify Partners, wndrco, Sky9 Capital, and FPV Ventures. Reactor is the platform for building in the World Model era: the infrastructure that lets developers build with them at global scale for the first time. Stream from a frontier World Model to your app, in real time, all in under 10 lines of code. World Models represent the next major shift in AI: pixels, audio and actions are generated on the fly, in real-time, in response to user inputs, and to the environment. Every time computing has made a shift from passive to interactive, entire industries appeared that didn't exist before. We're standing in front of such moment again. Over the last 6 months, we’ve assembled an all-star team with alumni from Apple, Meta, Google, Luma AI, Netflix, and Replicate. We're already partnering with some of the biggest names and labs in the world, and hundreds of developers are already building on Reactor. The World Model era starts now.

reactor

12,735,221 просмотров • 2 месяцев назад

Scale alone is not enough for AI data. Quality and complexity are equally critical. Excited to support all of these for LLM developers with Snorkel AI Data-as-a-Service, and to share our new leaderboard! — Our decade-plus of research and work in AI data has a simple point: scale alone is not enough. AI success is all about the quality, complexity, and distribution of data—in addition to volume. We’re excited to be powering leading LLM developers with Snorkel AI Expert Data-as-a-Service, our white glove service for custom, expert-level AI datasets—and to now preview some of what we’re building via our new Expert Data Leaderboard (🔗 in 🧵) + upcoming OSS dataset releases! Snorkel Expert Data-as-a-Service is built to meet the rapidly evolving data needs of the agentic AI world—where success is built on the quality, complexity, and distribution of datasets, in addition to size and scale. This kind of high-quality, frontier AI data can only come from a union of technology and human expertise. With Snorkel Expert Data-as-a-Service, we’re powering frontier LLM developers across agentic, expert knowledge, reasoning, coding, multi-modal, and other task types via the combination of these two key components: - (1) The Snorkel Expert Network: A global team of subject matter experts focused wholly on specialized knowledge–spanning thousands of topics in STEM/academic, vertical/professional, and consumer/lifestyle domains. - (2) Snorkel AI Data Development Platform: Our unique programmatic data curation and quality control platform, accelerating and improving expert authoring and review through principled techniques developed over the last decade of R&D. Now: we’re incredibly excited to showcase some of the power of Snorkel Expert Data-as-a-Service via the new Snorkel Leaderboard—putting frontier models to the test in complex, agentic, and reasoning settings inspired by real industry scenarios (not esoteric puzzles)! We’ll be releasing new leaderboards and accompanying expert-verified open source datasets (coming soon!) regularly. To start, we’re sharing three initial ones in preview: - SnorkelFinance: Q&A over financial documents requiring agentic tool-calling and reasoning - SnorkelUnderwrite: Agentic insurance tasks requiring industry-specific reasoning and tool use - SnorkelSequences: Mathematical tasks requiring compositional multi-step reasoning

Scale alone is not enough for AI data. Quality and complexity are equally critical. Excited to support all of these for LLM developers with Snorkel AI Data-as-a-Service, and to share our new leaderboard! — Our decade-plus of research and work in AI data has a simple point: scale alone is not enough. AI success is all about the quality, complexity, and distribution of data—in addition to volume. We’re excited to be powering leading LLM developers with Snorkel AI Expert Data-as-a-Service, our white glove service for custom, expert-level AI datasets—and to now preview some of what we’re building via our new Expert Data Leaderboard (🔗 in 🧵) + upcoming OSS dataset releases! Snorkel Expert Data-as-a-Service is built to meet the rapidly evolving data needs of the agentic AI world—where success is built on the quality, complexity, and distribution of datasets, in addition to size and scale. This kind of high-quality, frontier AI data can only come from a union of technology and human expertise. With Snorkel Expert Data-as-a-Service, we’re powering frontier LLM developers across agentic, expert knowledge, reasoning, coding, multi-modal, and other task types via the combination of these two key components: - (1) The Snorkel Expert Network: A global team of subject matter experts focused wholly on specialized knowledge–spanning thousands of topics in STEM/academic, vertical/professional, and consumer/lifestyle domains. - (2) Snorkel AI Data Development Platform: Our unique programmatic data curation and quality control platform, accelerating and improving expert authoring and review through principled techniques developed over the last decade of R&D. Now: we’re incredibly excited to showcase some of the power of Snorkel Expert Data-as-a-Service via the new Snorkel Leaderboard—putting frontier models to the test in complex, agentic, and reasoning settings inspired by real industry scenarios (not esoteric puzzles)! We’ll be releasing new leaderboards and accompanying expert-verified open source datasets (coming soon!) regularly. To start, we’re sharing three initial ones in preview: - SnorkelFinance: Q&A over financial documents requiring agentic tool-calling and reasoning - SnorkelUnderwrite: Agentic insurance tasks requiring industry-specific reasoning and tool use - SnorkelSequences: Mathematical tasks requiring compositional multi-step reasoning

Alex Ratner

495,851 просмотров • 1 год назад

NVIDIA CEO Jensen Huang explains the architecture of the AI revolution AI is fundamentally about thinking—and that requires supercomputers. We’ve created a new industry: AI infrastructure. It will be as foundational as the electricity and internet infrastructures—permanent for every society. This is a transformative time; how we deliver and produce intelligence is changing. Each layer of the AI stack is growing: 1. Energy 2. Chips 3. Infrastructure 4. AI models 5. AI applications We’re witnessing a complete revolution across the stack, with opportunities at every layer. NVIDIA intends to participate across the entire stack.

NVIDIA CEO Jensen Huang explains the architecture of the AI revolution AI is fundamentally about thinking—and that requires supercomputers. We’ve created a new industry: AI infrastructure. It will be as foundational as the electricity and internet infrastructures—permanent for every society. This is a transformative time; how we deliver and produce intelligence is changing. Each layer of the AI stack is growing: 1. Energy 2. Chips 3. Infrastructure 4. AI models 5. AI applications We’re witnessing a complete revolution across the stack, with opportunities at every layer. NVIDIA intends to participate across the entire stack.

Ask Perplexity

64,013 просмотров • 9 месяцев назад

In the age of Gemini, we are reimagining how we work across Docs, Sheets, Slides and Drive. The new way of working evolves our digital digital work from compiling information to directing outcomes. Excited to bring more contextual, helpful and collaborative Google Workspace. Simply choose your sources and create a Doc draft in seconds, build complex Sheets 9X faster, or generate on-brand Slide layouts with a simple prompt. And, Google Drive now generates summarized answers right at the top of your search results (AIO!) and helps you have a multi-turn conversation with your files/folders. Available today in beta for Workspace Gemini Alpha customers and G1 AI Ultra and AI Pro subscribers. 1/6

Chandu Thota

45,449 просмотров • 4 месяцев назад

🚨 Jensen Huang says everyone panicked about the AI data when MOST training data was never REAL to begin with. Ilya Sutskever told the industry pre-training was over. "Ilya said, 'We're out of data,' or something like that. 'Pre-training is over,' or something like that," Huang says. "The industry panicked, you know, that this is the end of AI." "And of course, of course that's obviously not true. We're gonna keep on scaling the amount of data that we have to train with." "A lot of that data is probably gonna be synthetic." That's where the panic came from — synthetic data sounds like cheating. "Most of the data that we are training, that we teach each other with, inform each other with, is synthetic." "It's synthetic because it didn't come out of nature." "You created it. I'm consuming it. I modify it, augment it, I regenerate it, somebody else consumes it." The textbook in your hand is synthetic. The post you're reading is synthetic. The lecture you took is synthetic. Nature didn't make any of it. Humans did. AI just learned to do the same thing — faster. "Training is now limited by compute," Huang says. "Data is now limited by compute." The data wall wasn't a wall. It was a mirror. If you're new here, follow @AiEvolutio for the latest on ChatGPT, Claude, and the AI tools shaping how we work and create. — Jensen Huang ( NVIDIA ), NVIDIA CEO, on Lex Fridman's ( Lex Fridman ) podcast

🚨 Jensen Huang says everyone panicked about the AI data when MOST training data was never REAL to begin with. Ilya Sutskever told the industry pre-training was over. "Ilya said, 'We're out of data,' or something like that. 'Pre-training is over,' or something like that," Huang says. "The industry panicked, you know, that this is the end of AI." "And of course, of course that's obviously not true. We're gonna keep on scaling the amount of data that we have to train with." "A lot of that data is probably gonna be synthetic." That's where the panic came from — synthetic data sounds like cheating. "Most of the data that we are training, that we teach each other with, inform each other with, is synthetic." "It's synthetic because it didn't come out of nature." "You created it. I'm consuming it. I modify it, augment it, I regenerate it, somebody else consumes it." The textbook in your hand is synthetic. The post you're reading is synthetic. The lecture you took is synthetic. Nature didn't make any of it. Humans did. AI just learned to do the same thing — faster. "Training is now limited by compute," Huang says. "Data is now limited by compute." The data wall wasn't a wall. It was a mirror. If you're new here, follow @AiEvolutio for the latest on ChatGPT, Claude, and the AI tools shaping how we work and create. — Jensen Huang ( NVIDIA ), NVIDIA CEO, on Lex Fridman's ( Lex Fridman ) podcast

AI Evolution

15,565 просмотров • 2 месяцев назад

As AI labs race to train and deploy new frontier models, existing models become more affordable with better tokenomics. ✨ "Everybody's trying to get to the next frontier. And every time they get to the next frontier, the last generation AI tokens, the cost starts to decline about a factor of 10x every year," said NVIDIA CEO Jensen Huang in a recent keynote. Model optimization techniques such as speculative decoding and multi-token prediction, combined with inference serving platforms like NVIDIA Dynamo on NVIDIA Blackwell NVL72 systems, enable AI factories to boost throughput by 10x with one-tenth of the cost per token. Learn more about AI factory tokenomics ➡️

As AI labs race to train and deploy new frontier models, existing models become more affordable with better tokenomics. ✨ "Everybody's trying to get to the next frontier. And every time they get to the next frontier, the last generation AI tokens, the cost starts to decline about a factor of 10x every year," said NVIDIA CEO Jensen Huang in a recent keynote. Model optimization techniques such as speculative decoding and multi-token prediction, combined with inference serving platforms like NVIDIA Dynamo on NVIDIA Blackwell NVL72 systems, enable AI factories to boost throughput by 10x with one-tenth of the cost per token. Learn more about AI factory tokenomics ➡️

NVIDIA AI

16,053 просмотров • 6 месяцев назад

New episode with Scott Wu (Scott Wu), CEO and co-founder of @cognition, the company behind Devin Unlike other AI coding tools, Devin works like an autonomous engineer that you interact with through Slack, Linear, and GitHub, just like with a remote engineer. Each of Cognition's 15 engineers works with a team of Devins, and these Devins are writing about 25% of Cognition’s code today. By the end of the year, they expect over 50% of their code to be written by Devin. In our conversation, we discuss: 🔸 How Devin has evolved from a high school CS student to a strong junior engineer just in the past year 🔸 Why software engineering will shift from “bricklayers” to “architects” 🔸 Why AI tools will lead to *more* engineering jobs rather than fewer 🔸 The eight pivots Cognition went through before landing on their current approach 🔸 The cultural shifts required to successfully adopt AI engineers like Devin at your company 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Enterpret — Transform customer feedback into product growth: 🏆 Paragon — Ship every SaaS integration your customers want: 🏆 Attio — The powerful, flexible CRM for fast-growing startups:

New episode with Scott Wu (Scott Wu), CEO and co-founder of @cognition, the company behind Devin Unlike other AI coding tools, Devin works like an autonomous engineer that you interact with through Slack, Linear, and GitHub, just like with a remote engineer. Each of Cognition's 15 engineers works with a team of Devins, and these Devins are writing about 25% of Cognition’s code today. By the end of the year, they expect over 50% of their code to be written by Devin. In our conversation, we discuss: 🔸 How Devin has evolved from a high school CS student to a strong junior engineer just in the past year 🔸 Why software engineering will shift from “bricklayers” to “architects” 🔸 Why AI tools will lead to more engineering jobs rather than fewer 🔸 The eight pivots Cognition went through before landing on their current approach 🔸 The cultural shifts required to successfully adopt AI engineers like Devin at your company 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Enterpret — Transform customer feedback into product growth: 🏆 Paragon — Ship every SaaS integration your customers want: 🏆 Attio — The powerful, flexible CRM for fast-growing startups:

Lenny Rachitsky

251,809 просмотров • 1 год назад