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All of these patterns as an example are just matters of βorg codeβ. The IDE helps you build, run, manage them. You canβt fork classical orgs (eg Microsoft) but youβll be able to fork agentic orgs. https://t.co/VBfL9ZzxKs
Today weβre launching Sword Pulse - our new, always-on AI cardiometabolic solution, built to support hypertension, prediabetes, type 2 diabetes, high cholesterol, weight management, and GLP-1 care in one integrated experience. Cardiometabolic disease is one of the largest and fastest-growing health cost categories in the U.S., affecting more than half of American adults and costing over $400B a year. Across our platform, we were already seeing how closely MSK and cardiometabolic health overlap: in one solution, 3 out of 4 members were overweight or obese, and more than half had a cardiometabolic condition. Supporting them well meant building something that matched the complexity of their needs, and didnβt disappear between appointments, only to pick back up six months later. Pulse combines Phoenix, our AI Care Specialist, with dedicated clinical support to help members improve daily habits across nutrition, movement, sleep, and stress, with connected devices, ongoing monitoring, and guidance that adapts over time. Watch the video and learn more about Pulse: https://t.co/mdGSpkHXSb
Announcing NVIDIA Nemotron 3 Super! π120B-12A Hybrid SSM Latent MoE, designed for Blackwell π36 on AAIndex v4 πup to 2.2X faster than GPT-OSS-120B in FP4 πOpen data, open recipe, open weights Models, Tech report, etc. here: https://t.co/CAYpP1iK3i And yes, Ultra is coming! https://t.co/QuguMQaC8S
π semtools v3.0.0 is out, and it's a great step forward for anyone using semantic search and document parsing from the command line. For context: semtools is our Rust-based CLI that lets you parse documents (PDFs, DOCX, PPTX, and more) via LlamaParse, run fast local semantic search using multilingual embeddings, and ask questions over document collections using an AI agent β all from your terminal. Here's what changed in v3.0.0: π€ Unified interface. All commands now live under a single semtools entry point β parse, search, ask, and workspace. Much more discoverable, much easier to document. β --json output on every command. This was one of the most requested features. Structured JSON output means you can pipe semtools into jq, embed it in shell scripts, or use it as a tool inside a coding agent. This kind of composability is what makes CLI tools genuinely useful beyond interactive sessions. π Dramatically smaller binary. The storage layer was migrated to @qdrant_engine Edge β a lightweight, edge-optimized vector database β and the binary size dropped from multiple gigabytes to a few hundred megabytes. Same functionality, much lighter footprint, easier to install and distribute. π» --workspace CLI flag. You can now specify a workspace directly on the command line instead of relying on environment variables. A small change with a big improvement to day-to-day ergonomics.
A new AI bet is shifting the focus beyond language models. Yann LeCun has raised $1 billion for a startup aiming to build systems that understand the physical world, not just text. If heβs right, the next breakthrough in AI may come from machines that learn how the real world works. https://t.co/qeky1mvSya @ylecun @wired @ZeffMax
If you're using Claude Code for research: stop making it read directly from PDFs We've introduced a SKILL.md that fetches structured, AI-friendly paper overviews from alphaXiv π https://t.co/AYg3n0hnB2
Genuinely didn't expect this. Left @karpathy's autoresearch running on a Mac Mini over the weekend. 259 experiments, no intervention. It landed at 1.353 val_bpb β a 30% improvement from where it started. For reference, the Mac Studio (4x the memory, 4x the price) took 5 hours of guided work to reach 1.29. The Mini got within 5% on its own. It just needed time. The weird part: it kept making the model smaller. Every improvement it found was about speed β fewer layers, smaller batches, tighter attention. More optimizer steps in the same time budget. On Apple Silicon, throughput beats scale. That wasn't obvious to me. tiny-lab is the control plane I'm building around this. Auto-restart, eval harness, experiment ledger, promotion protocol. Open source. https://t.co/WwUjuLbYQO
88 pages of gold for training MoEs Just got published yesterday, link below https://t.co/kVUidN0hvH
88 pages of gold for training MoEs Just got published yesterday, link below https://t.co/kVUidN0hvH
Geometry-Guided Reinforcement Learning for Multi-view Consistent 3D Scene Editing paper: https://t.co/UWIVfI8dTU https://t.co/pViK4yPby2
Open-source video generation is progressing at lightning speed! LTX-2.3 is amazing π₯ - Text-to-video & Image-to-video - Audio generation & sync - One single 22B model - Get a huge daily quota with your HF PRO subscription (25 min of H200/day!) Try it now on Hugging Face β¬οΈ https://t.co/oV6CjpX0mI
Hugging Face PRO is the wildest $9/month deal in AI right nowπ€― πΉ 25 min/day of H200 compute on Spaces ZeroGPU πΉ ~1M free inference tokens from 15+ providers (Groq, Cerebras, etc.) πΉ 1TB private storage and more πΉ More cool things... https://t.co/xGnZwLMEhH
Cosmos Policy just dropped for physical #AI π Cutting edge research turning a world foundation model into a unified robot brain that can see, predict, and actβno extra action heads, no complicated control stack. Read our blog on @huggingface β‘οΈ https://t.co/zH98YwngeX https://t.co/nfmBg9pdHc
NEW: Elements of AI Agents. Our first text-based AI course. If you are looking for an entry point to building AI Agents, check it out now. FREE to enroll now. (bookmark it) Audio available so you can listen on the go. Enroll here: https://t.co/HHXg8rr0Ew A lot more to come.
AI isnβt just automating tasks. Itβs reshaping how people spend their time at work. Developers using AI tools are spending less time on project management and administrative work and more on actual coding. The biggest boost is among junior developers, suggesting that AI may accelerate learning rather than replace entry-level talent. https://t.co/NzKNpsP8pC @MITSloan @Brian_Eastwood
BREAKING: Swedish start-up Lovable sees revenue jump from $300M ARR to $400M ARR in a single month. Ryan Meadows, Chief Revenue Officer @Lovable says annual recurring revenue has surged by more than 30%, from $300 million to $400 million in a single month, and could top $1 billion by year's end. "It's accelerating quite a bit," Meadows said. "We've doubled the number of active users daily just in the last couple of months." - Meadows
https://t.co/xEpwOLG3RC
https://t.co/xEpwOLG3RC
a touch of delicacyβ£οΈ Grok Imagine, video extension up to 30 sec https://t.co/AUUZrrj3ea
Grok Imagine 1.0 is insane. Imagine V1.5. https://t.co/SxJeSitXL1
This is just Grok Imagine 1.0. V1.5 is a major upgrade.
being a *literal* springboard for a *literal* terrorist while verbatim saying "we welcome everyone into this city" is poetic perfection https://t.co/nqJJ4Fx2qI
Libtard with the bullhorn is more dangerous
Also Iβm going to wait on sending out a dollar to the Round 2 accounts. Iβm going to randomize the 166 invitations for an Elon dollar giveaway. As you know Elon sent me more money; $69 to be exact. ππ» So you will either get an Elon dollar or dollar. https://t.co/4ZPYbLJPlZ
Memory Skill for OpenClaw with 26k+ users in 1 weekπ OpenClaw's memory system is broken by default. It requires curating massive MEMORY.md files or relying on duplicate-heavy generation. Hours are wasted tuning, and massive amounts of tokens are burned. It's time to stop. So we built the memory skill to solve that prob Here is our superpower βοΈ π― Top #1 market accuracy (92.19%) after 8+ months of intense architecture iteration π§ The ultimate solution to keep the timeline, facts, and meaning perfectly in place βοΈ Local & Cloud + Version control β‘ Super easy setup
Hereβs a first look at X-Plane 12 on Apple Vision Pro! With visionOS 26.4 and NVIDIA CloudXR 6.0, the simulator streams wirelessly at up to 4K/120fps to your headset. And if you have a physical yoke or throttle, ARKit uses image detection to recognize them and place them inside your virtual cockpit. π€― Itβll be available later this spring.
Democrats are weaponizing the Senateβs rules to block theΒ SAVE America Act, defund @DHSgov, & hurt the American people to spite @POTUS. Β @SenateGOP can either let Dems keep obstructing & smash the filibuster the first chance they get, or we can act now & use the mandate the American people gave @realDonaldTrump & Republicans to secure our elections, protect our homeland, & bring back common sense. Β Democrats started this fight.Β I support whatever changes to Senate rules are necessaryΒ toΒ finish it and passΒ theΒ SAVE America Act. https://t.co/MmuCF7kzT2
Note: Claude Code invalidates the KV cache for local models by prepending some IDs, making inference 90% slower. See how to fix it here: https://t.co/tUDs5Q8Jt5 https://t.co/5qvwOAArjX
We created a repo with 250+ notebooks for LLM training. Train locally on your device with 3GB VRAM or free on Colab. Learn the entire fine-tuning and inference workflow. Supports RL, vision, audio, embedding, TTS models GitHub: https://t.co/1qSdX8w8SO https://t.co/B0T52LOJ79

ClawVault β a persistent memory for AI agents It gives agents a markdown-native memory system that: - stores knowledge in a graph-aware vault - is local-first (no cloud) - preserves state with checkpoints, search and structured facts - is human-readable + git-friendly So agent memory becomes a plain markdown (instead of vector databases), that you can read, edit, and version
Every AI video tool I've used before treated the creative process as a single moment. You write a prompt, you get a clip, and if it's not right, you just... start over. The whole thing. From scratch. PAI (got to try it early) is one of the best long-form video storytelling models I've used that really attempts to fix this problem. You can go back into a scene and change things. Move a character. Adjust the pacing of a shot. It sounds like a small difference, but it completely changes how you think about what you're making. It finally feels like I have editing control over the video generation process. Excited to see what @UtopaiStudios is building here.
The Ch08 Nb on distilling LLMs is now on GitHub: https://t.co/bPRyIU5BhH Hard distillation that works with any LLM (minding the terms of service, of course). https://t.co/KscPulkj7q