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Jay Hack

@mathemagic1an • 73,336 subscribers

Head of AI @clickup. Tweets about AI, computing and their impacts on society. Previously founder @codegen / ML @palantir / startups. Not a pseudonym.

Shorts

What if we could cancel out urban noise pollution? Place a set of speakers that act like noise-cancelling airpods for all pedestrians simultaneously You can actually do this - and it paves the way for an "acoustics foundation model" Simulation code + proposal 👇

What if we could cancel out urban noise pollution? Place a set of speakers that act like noise-cancelling airpods for all pedestrians simultaneously You can actually do this - and it paves the way for an "acoustics foundation model" Simulation code + proposal 👇

501,394 просмотров

Google announces Bard, their ChatGPT competitor. 👏👏👏

Google announces Bard, their ChatGPT competitor. 👏👏👏

696,328 просмотров

"HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion" Constructs temporal NeRF of humans from multi-view video Impressive quality. Easy to see applications in gaming - better avatar creation etc.

54,055 просмотров

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Parrots are clearly intelligent enough to understand video UIs They also apparently prefer watching videos of other parrots 🤔 This implies an opportunity for a "parrot streaming" platform. Looking for a team who is as excited about this opportunity as Iam

Parrots are clearly intelligent enough to understand video UIs They also apparently prefer watching videos of other parrots 🤔 This implies an opportunity for a "parrot streaming" platform. Looking for a team who is as excited about this opportunity as Iam

3,588,037 просмотров • 2 лет назад

Interesting approach to long context/continual learning here from Baseten at Cursor Compact long trajectories by compressing a prefix of the KV cache using an MLP/autoencoder. You can train this "compactor" MLP by learning to reconstruct activations that the original KV cache would produce on subsequent tokens. This maximally reconstructs information from long context that's useful for subsequent outputs. If you run an agent over extremely long context and run this compaction recursively, the activations of this compressed KV cache become like trained weights. Similar to task-specific LoRA or "cartridges". Would not be surprised if OpenAI is running a similar algorithm for their blackbox compaction. Clear benefits here if you can avoid busting the cache, as e.g. compacting via writing to a text file would. Seeing many emerging approaches to fixed size latent states for LLMs that seem promising. If building a task-specific KV cache compression ends up being more sample efficient than running backprop, getting this to "work" feels like one of the 2-3 remaining breakthroughs on the path to true AGI

Interesting approach to long context/continual learning here from Baseten at Cursor Compact long trajectories by compressing a prefix of the KV cache using an MLP/autoencoder. You can train this "compactor" MLP by learning to reconstruct activations that the original KV cache would produce on subsequent tokens. This maximally reconstructs information from long context that's useful for subsequent outputs. If you run an agent over extremely long context and run this compaction recursively, the activations of this compressed KV cache become like trained weights. Similar to task-specific LoRA or "cartridges". Would not be surprised if OpenAI is running a similar algorithm for their blackbox compaction. Clear benefits here if you can avoid busting the cache, as e.g. compacting via writing to a text file would. Seeing many emerging approaches to fixed size latent states for LLMs that seem promising. If building a task-specific KV cache compression ends up being more sample efficient than running backprop, getting this to "work" feels like one of the 2-3 remaining breakthroughs on the path to true AGI

29,365 просмотров • 17 дней назад

✷ Collaborate with agents in Linear ✷ Excited to partner with Linear to launch our Codegen integration! ⚡️ > "Hey Codegen, can you solve this ticket? > Close any duplicates btw." I haven't started a task from scratch in days. Absolutely wild.

✷ Collaborate with agents in Linear ✷ Excited to partner with Linear to launch our Codegen integration! ⚡️ > "Hey Codegen, can you solve this ticket? > Close any duplicates btw." I haven't started a task from scratch in days. Absolutely wild.

308,912 просмотров • 1 год назад

I had my agent post a $10 bounty on Rentahuman: shoot a video of throwing a tennis ball against a wall I got 68 submissions in 24 hours. Almost entirely from India/Subsaharan Africa from what I can tell. About 50% of them seem legit and not clipped from e.g. YouTube

I had my agent post a $10 bounty on Rentahuman: shoot a video of throwing a tennis ball against a wall I got 68 submissions in 24 hours. Almost entirely from India/Subsaharan Africa from what I can tell. About 50% of them seem legit and not clipped from e.g. YouTube

33,478 просмотров • 1 месяц назад

🤔 What comes after Copilot? My take: a conversation with your codebase! Introducing Tensai, your repo-level code assistant ❔ Ask complex questions ✅ Automatically generate PRs for complex tasks More👇

🤔 What comes after Copilot? My take: a conversation with your codebase! Introducing Tensai, your repo-level code assistant ❔ Ask complex questions ✅ Automatically generate PRs for complex tasks More👇

500,290 просмотров • 3 лет назад

Excited to share what I've been building 🚀 Introducing Codegen ⚡ Agent-driven software development for enterprise codebases ⚡ We've raised $16mm from Thrive Capital and others to bring this to the world - 👇 More below

Excited to share what I've been building 🚀 Introducing Codegen ⚡ Agent-driven software development for enterprise codebases ⚡ We've raised $16mm from Thrive Capital and others to bring this to the world - 👇 More below

368,825 просмотров • 2 лет назад

⚡️ Huge update now live! ⚡️ Codegen can now execute arbitrary code 💻 💻 💻 Watch it build => execute a HN scraper, then slack me a PR below. Powered by Modal sandboxes. Absolutely 🔥 . No "invite codes", this is fully GA. More below 👇

⚡️ Huge update now live! ⚡️ Codegen can now execute arbitrary code 💻 💻 💻 Watch it build => execute a HN scraper, then slack me a PR below. Powered by Modal sandboxes. Absolutely 🔥 . No "invite codes", this is fully GA. More below 👇

79,627 просмотров • 1 год назад

Multi-agent flows in Linear are so powerful. You can take on 5-10x more ambitious tasks. I just had it build out our marketing site in 20 minutes. I will likely make minor tweaks in Cursor and ship. This was unfathomable a year ago

Multi-agent flows in Linear are so powerful. You can take on 5-10x more ambitious tasks. I just had it build out our marketing site in 20 minutes. I will likely make minor tweaks in Cursor and ship. This was unfathomable a year ago

52,061 просмотров • 1 год назад

Mafs - "React components for interactive math" Feels like butter interacting with these components. The library is clearly made with ♥️

Mafs - "React components for interactive math" Feels like butter interacting with these components. The library is clearly made with ♥️

122,213 просмотров • 3 лет назад

🔊 Excited to announce: Codegen is now GA!! 🎉 2 years ago, we set out to build an agentic developer. With Claude 3.7, it's now possible like never before - and it's absolutely killer. Build with Codegen across Slack, Github and Linear. It's transformed how we work. 👇

🔊 Excited to announce: Codegen is now GA!! 🎉 2 years ago, we set out to build an agentic developer. With Claude 3.7, it's now possible like never before - and it's absolutely killer. Build with Codegen across Slack, Github and Linear. It's transformed how we work. 👇

57,095 просмотров • 1 год назад

Excited to share our progress 🔥 Introducing Codegen: the IDE for Refactors. Codegen allows you to programmatically analyze and manipulate your codebase. ✅ Safely transform code at scale 🔍 Visualize complex code structures ⚡ Purpose-built for AI-assisted development 1/

Excited to share our progress 🔥 Introducing Codegen: the IDE for Refactors. Codegen allows you to programmatically analyze and manipulate your codebase. ✅ Safely transform code at scale 🔍 Visualize complex code structures ⚡ Purpose-built for AI-assisted development 1/

69,989 просмотров • 1 год назад

What happens when you give a frontier agent access to a full company's history of docs, messages, tasks and more? As I'm onboarding to ClickUp, this feels like an absolute cheat code. "Cursor for your entire job." Full history of the company's thinking, decision making and operations are natively accessible w/ first-party tools and data access. No exaggeration this has reduced the amount of overhead to get ramped up (# of messages sent) by >60%. At Codegen we built an agent that straddles multiple applications - Slack, Linear, Notion, etc. - with many obvious limitations. Agents cannot search Slack historical conversations, for example, nor can you index Slack data. Any question concerning a historical decision is just out of reach. There are clear constraints of fragmentation preventing otherwise extremely capable models from performing productive tasks. Seems the biggest bottleneck to agent productivity in early 2026 is not capabilities or knowledge, it's the politics and incentives around SAAS fragmentation. Very bullish for all-in-one horizontal SAAS and what that unlocks

What happens when you give a frontier agent access to a full company's history of docs, messages, tasks and more? As I'm onboarding to ClickUp, this feels like an absolute cheat code. "Cursor for your entire job." Full history of the company's thinking, decision making and operations are natively accessible w/ first-party tools and data access. No exaggeration this has reduced the amount of overhead to get ramped up (# of messages sent) by >60%. At Codegen we built an agent that straddles multiple applications - Slack, Linear, Notion, etc. - with many obvious limitations. Agents cannot search Slack historical conversations, for example, nor can you index Slack data. Any question concerning a historical decision is just out of reach. There are clear constraints of fragmentation preventing otherwise extremely capable models from performing productive tasks. Seems the biggest bottleneck to agent productivity in early 2026 is not capabilities or knowledge, it's the politics and incentives around SAAS fragmentation. Very bullish for all-in-one horizontal SAAS and what that unlocks

17,226 просмотров • 5 месяцев назад

🚨 Introducing: Codegen 2.0! 🚨 From idea to feature in minutes 🔥 Implement any code change on your existing repositories, regardless of size. Iterate with frontier agents in GitHub, Matt Slack, Linear, and more. No CC required - get started at

🚨 Introducing: Codegen 2.0! 🚨 From idea to feature in minutes 🔥 Implement any code change on your existing repositories, regardless of size. Iterate with frontier agents in GitHub, Matt Slack, Linear, and more. No CC required - get started at

31,846 просмотров • 1 год назад

"PR review with an agent" from Graphite (we've moved to @graphite) Just got preview access. IMO this is the leading agentic PR review UI. Allows you to chat inline, make modifications etc. Honestly this should have been baked into Github in late 2023. Excited to see it go live!

"PR review with an agent" from Graphite (we've moved to @graphite) Just got preview access. IMO this is the leading agentic PR review UI. Allows you to chat inline, make modifications etc. Honestly this should have been baked into Github in late 2023. Excited to see it go live!

11,933 просмотров • 11 месяцев назад

Introducing: Zoom with code agents! 🔥 Dev conversations happen in VTC. So why shouldn't agents hop in? Major unlock 🔓 for: 🎨 design critiques 🚨 incident management etc. Watch Codegen participate in a design critique then the ship the changes (!) below. Here's how 👇

Introducing: Zoom with code agents! 🔥 Dev conversations happen in VTC. So why shouldn't agents hop in? Major unlock 🔓 for: 🎨 design critiques 🚨 incident management etc. Watch Codegen participate in a design critique then the ship the changes (!) below. Here's how 👇

12,855 просмотров • 1 год назад

This is truly one of the best illustrations of a product I’ve seen in a landing page, AI or otherwise

This is truly one of the best illustrations of a product I’ve seen in a landing page, AI or otherwise

19,657 просмотров • 3 лет назад

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