Emergent is now at $100M ARR (run rate) We got here in 8 months, making @emergentlabs one of the fastest-ever to do it! That's not all. Today, we're unlocking the next billion builders who will build on the go. 📱 https://t.co/Vknrr022CQ

Catherine O’Hara, the beloved actor known for her roles in ‘Home Alone,’ ‘Schitt’s Creek,’ and most recently, ‘The Studio,’ has died at the age of 71. https://t.co/1C00VVlLNS

“Every writer, sooner or later, must face the fact that our characters are taken directly from our own lives, so there will be friends, relatives, and acquaintances who are going to feel like they’ve been pushed under the bus.” —Vivian Gornick, interviewed by Chandler Fritz https://t.co/pQTINycvXu

@FPL_Bronx @managerBotten I think I’m sticking with Triple captain. Any thoughts? https://t.co/qt76vvjWst

What if you could extend your @aisdk custom agents with Skills? You can now! We added native Skills support to `bash-tool`, so you can add capabilities in a context-preserving manner. The intuition why using skills in custom agent makes sense is the same as to why using bash is so helpful: You get to benefit from the pre- and post-training that the models have gone through to be good at coding and let that apply to any other domain https://t.co/eKmAghwZC1

I built two new tools to help coding agents demonstrate their work beyond just running automated tests: Showboat and Rodney https://t.co/HdSSwffOfG

Four types of people at every company now yes, people get 10x better when the go from bottom right to top right but also, people get 10x worse when they go from bottom left to top left https://t.co/fNj4ocv1sc

I built https://t.co/4rAUTXjAhc to help me stay-up-date with new AI stuff. It's tracking 14K open source repos so far, with contributions from over 145K developers. Every day, it: - searches for new AI repos (based on 123 keywords and topics) - surfaces repos that are gaining traction, and - categorizes each repo The annotations are done by AI so they are not super accurate, but they've helped me find some useful stuff. It also lets me see where the contributors are, so when I travel, I can find folks doing cool stuff in a new city or country.

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Comparing the AI open source ecosystem in the US, China, Europe, and the rest of Asia over time https://t.co/XFUgGoYKlY

thanks @gracepace_ for a great party! also snapped a great throwback to brev @NaderLikeLadder https://t.co/oGUiof6qES

When we first launched launchables (1 click GPU deployments) We filled NVIDIAs fridges with lunchables that had these stickers on them https://t.co/zqDymTnLKY

CLIs are super exciting precisely because they are a "legacy" technology, which means AI agents can natively and easily use them, combine them, interact with them via the entire terminal toolkit. E.g ask your Claude/Codex agent to install this new Polymarket CLI and ask for any arbitrary dashboards or interfaces or logic. The agents will build it for you. Install the Github CLI too and you can ask them to navigate the repo, see issues, PRs, discussions, even the code itself. Example: Claude built this terminal dashboard in ~3 minutes, of the highest volume polymarkets and the 24hr change. Or you can make it a web app or whatever you want. Even more powerful when you use it as a module of bigger pipelines. If you have any kind of product or service think: can agents access and use them? - are your legacy docs (for humans) at least exportable in markdown? - have you written Skills for your product? - can your product/service be usable via CLI? Or MCP? - ... It's 2026. Build. For. Agents.

We rebuilt Next.js in a week. No, really. The team ported the framework to run natively on Workers to prove what’s possible with edge-first architecture. Dive into the technical hurdles we solved to eliminate Node.js dependencies. https://t.co/GqYBiZ5Qum

wait whaaat?? @NaderLikeLadder is this really your cell? god this is next level! https://t.co/GFJpF1m0v6

wait whaaat?? @NaderLikeLadder is this really your cell? god this is next level! https://t.co/GFJpF1m0v6

Crazy project turns AI history into structured data and publishes it to Hugging Face. "DataClaw parses session logs, redacts secrets and PII, and uploads the result as a ready-to-use dataset." https://t.co/WECC3QnRsk

I am thrilled and honored that Sparky and I were selected winners for NVIDIA GTC Golden Ticket. Here's how he received the news. https://t.co/AkYPw7A114

Today is #SaferInternetDay 2026, and we’re joining thousands of others in shining a light on online safety and digital wellbeing. AI has become part of everyday life, and it’s important that we support people in navigating these changes. Every conversation about online safety makes a difference. You can learn more and get involved here 👉https://t.co/SqqBe8ZMCK @Nominet

Train smarter. 🦾 Deploy faster. 💨 Eat better croissants. 🥐 Early bird pricing for #PyTorchCon Europe saves you €200 if you register by 27 February. See you in Paris, 7-8 April. 👉 https://t.co/vPcgBQu8u5 https://t.co/WbNZj16d3U

Matt White (@matthew_d_white) will speak at #NEARCON 2026 in San Francisco, Feb 23–24. Autonomous Systems In Practice examines how #AutonomouSystems are built, evaluated, constrained, secured, and made reliable beyond demos. Mon, Feb 23, 11:20–11:50 AM PT. With Sergey Astretsov (@sergeiest), @near_ai; Nalin Mittal, @Google; Noëlle Becker Moreno (@1stNoL), @@edgeandnode. Agenda: https://t.co/A79jGPff8K

PyTorch Day India 2026 session recordings are now available. On February 7, 460 builders gathered in Bengaluru for a full day of technical talks focused on kernels, compilers, inference, and production-grade AI systems. Co-hosted by IBM, NVIDIA, Red Hat, and PyTorch Foundation, the event highlighted heterogeneous compute, platform stability, and end-to-end performance from edge to data center. 🔗 Full event playlist: https://t.co/0ELH0O0Ut3 #PyTorch #AIInfrastructure #OpenSource

The schedule for #PyTorchCon Europe is live! 💥 Join us 7-8 April in Paris for 2 days of research breakthroughs, production #AI & #PyTorch ecosystem innovation. Explore the full agenda: https://t.co/ECBkOSYTI2 Secure your pass today: https://t.co/uy8MR1KdV0 https://t.co/LEDsoQN4Nf

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Trying to tune your Expert Parallel (EP) communication for hyperscale mixture-of-experts (MoE) models? This post, ‘Optimizing Communication for Mixture-of-Experts Training with Hybrid Expert Parallel’, details an efficient MoE EP communication solution, Hybrid-EP, and its use in the NVIDIA Megatron family of frameworks, on NVIDIA Quantum InfiniBand and NVIDIA Spectrum-X Ethernet platforms. It also dives into the effectiveness of Hybrid-EP in real-world model training. Read the full post: https://t.co/4NOFpaiFYz #PyTorch #OpenSourceAI #AI #Inference #Innovation

⏰ 5 days left! Early bird pricing for #PyTorchCon Europe ends 27 February. Save €200 when you register now. ICYMI the schedule is live! Start planning your 7-8 April in Paris: https://t.co/XXIopbwG2z Register: https://t.co/Oxa4w2vTOh https://t.co/nHcQM9bTKD

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