Why do people have write dumb stuff like this when announcing a raise on X? https://t.co/NwebTaNYvj

Why do people have write dumb stuff like this when announcing a raise on X? https://t.co/NwebTaNYvj

today i was reminded of the existence of The Defiant, a supergroup consisting of members of (among others) Smash Mouth, The Offspring, and The Mighty Mighty Bosstones, all of whom got fired from their main bands for refusing to get vaccinated https://t.co/KYk2cSOkft

unsalvagable country and planet https://t.co/SSo8FOH0Lq

unsalvagable country and planet https://t.co/SSo8FOH0Lq

@jadenhochhh @kirtangajjar_ I actually have a Build an LLM From Scratch YouTube series 😊 https://t.co/iMOF4a3aek

Perplexity Computer is now available for Pro subscribers. Access Computer’s full suite of 20+ advanced models, prebuilt and custom skills, and hundreds of connectors. Max subscribers receive monthly credits and higher spend limits than Pro. https://t.co/mEZ8MoSP7C https://t.co/Dvx98ayn7t

Personal AI should run on your personal devices. So, we built OpenJarvis: a personal AI that lives, learns, and works on-device. Try it today and top the OpenJarvis Leaderboard for a chance to win a Mac Mini! Collab w/ @Avanika15, John Hennessy, @HazyResearch, and @Azaliamirh. Details in thread.

@itamar_mar Wow. Interesting results. Great to see attention to recall which matters a lot in this use case. And even more impressive how the specialized agents catch the remaining ground truth. https://t.co/WcVSS59rO9

We're sharing a new method for scoring models on agentic coding tasks. Here's how models in Cursor compare on intelligence and efficiency: https://t.co/VItnifMh55

I graphed a lot of the most critical and high-quality benchmarks, including some very new ones that no model has optimized for, and the curves have all had a very similar shape over the past year. https://t.co/C3xuZgeOJl

MXFP8 training for MoEs on GB200s enables a 1.3x speedup with equivalent convergence versus BF16. This #PyTorch update via TorchAO and TorchTitan on Crusoe Cloud details gains from dynamically quantized grouped GEMMs. #AI #OpenSource 🔗 https://t.co/CifP9fQBEC ✍️ @vega_myhre, @_xmfan, @drisspg, Chinmay Baikar

An internal AI incident at Amazon reportedly triggered a mandatory meeting over its “high blast radius.” As AI systems become deeply embedded in operations, a single failure can cascade across products, customers and infrastructure. Scale is AI’s superpower, but it also magnifies risk. @ElonMusk’s warning to “proceed with caution” raises a bigger question: are companies moving faster with AI than their safety systems can handle? https://t.co/6Q9PMnaRFQ @fortunemagazine @sashrogel

Introducing Mixedbread Wholembed v3, our new SOTA retrieval model across all modalities and 100+ languages. Wholembed v3 brings best-in-class search to text, audio, images, PDFs, videos... You can now get the best retrieval performance on your data, no matter its format. https://t.co/PYT3Ryerxm

Microsoft's VS Code product lead on how GitHub Copilot and custom AI agents helped the team move from monthly to weekly releases. https://t.co/q1QXM99ke1

🚨BREAKING: PENTAGON THINKS CLAUDE HAS BECOME SENTIENT AND MAY SOON TAKE OVER >claude has a soul >has a constitution >that’s NOT the U.S. Constitution >the other day claude was anxious >anthropic believes claude has a 20% chance of being sentient right now >has its own ability to make decisions “So does the Department of War want something like that in their supply chain?” >embedded across defense contractor systems via palantir >could hallucinate and poison the system >legitimate threat to national security >weapons, aircraft, war fighter protection >all compromised Pentagon CTO: “that’s really where the supply chain risk came from”

Ukraine opens battlefield data to train AI models for autonomous systems — first in the world 🤘 Millions of annotated combat frames from thousands of missions are now available for partners to train AI. This creates a new win-win cooperation model: partners refine their technologies with unique data, while Ukraine scales frontline capabilities. Better data → smarter drones → faster decisions on the battlefield. The future of war is autonomous.

Your videos can go further now. We’re introducing new Video API capabilities, powered by Sora 2: • Custom characters and objects • 16:9 and 9:16 exports • Clips up to 20 seconds • Video continuation to extend scenes • Batch jobs for video generation https://t.co/CHpRpSi7TV

today, we are making the @mosaic_so video editing api available to all agents & humans. see how we setup larry — our slack openclaw agent — with a mosaic api key and had it clip, edit, and post archived steve jobs footage. all without ever leaving slack. you can connect your openclaw agents, claude code, or vibe-coded saas to our agentic video editing api. no waitlist — now live at mosaic [dot] so. comment "API" to get 100 free credits dropped into your account to get started with the api for free. more details on why & how we’re making this change below (thread):

GPU kernel development doesn't have to mean thousands of lines of interleaved pipeline, memory, and compute logic. Structured Mojo Kernels Part 2 walks through how separating those concerns into three components with hard boundaries simplifies the codebase, makes kernels easier to maintain, and keeps the same structure working across NVIDIA and AMD hardware generations. https://t.co/Czn42cXMWx

If doomscrolling X is part of your research workflow, we built something for you. Introducing Paperscrolling 🚀 Get the most trending research with key ideas, figures, and audio explanations from alphaXiv Briefs https://t.co/8uGbaheOvb

And it gets better on every iteration. Data is in context so I can iterate and change the views/colors of the charts instantly. https://t.co/5VsSKEs2La

I just got 6 months of GPT Pro for free! 🤯 My first OSS project led me here I built the Codex Remote Control for fun, just out of curiosity. Shipped it, put it out there, and this happened I never imagined it would go this far You can just build things with Codex So go build your project, and put it out there You never know what might happen 👀 Thank you @romainhuet and the Codex team for this ❤️ Now let's get back to building!

Yes https://t.co/8Zx3k6xuK1 Whoever made this, you made me laugh. https://t.co/w7xcHr7spu

My favorite editing model, FLUX.2 [klein] 9B, just got 2x faster: Meet FLUX.2 [klein] 9B-KV 😍💨 > Using KV-Cache Optimization to reduce computation & speed up inference by up to 2.5 times for multi-reference editing love how well it edits "around" the bullets https://t.co/qu6zO0UZqY

ReMix: Reinforcement routing for mixtures of LoRAs A new approach to prevent routing weight collapse in Mixture-of-LoRAs models using non-learnable routing weights and the RLOO gradient estimator, ensuring all active LoRAs contribute equally to boost expressive power. https://t.co/eXRVT6AW2d

PHAN is now accepting requests for proposals for projects that will have measurable results in reducing transmission of indoor airborne pathogens. These could be projects like breath-based multi-pathogen detection systems or continuous HVAC compliance verification systems. https://t.co/umRjcrxzjK

Poll after poll shows people don't feel great about AI. This Economist/YouGov poll shows 47% feel AI will have a negative impact on society vs. 16% who think it will be positive https://t.co/zYszk0j10z

We're approaching the dawn of medical superintelligence - the moment when affordable, world-class medical knowledge and support is at your fingertips whenever you need it. I think people are still underestimating how profound this transformation is going to be. Today we're announcing Copilot Health, enabling users to connect all their EHR records and wearable data in a secure, private health space that Copilot can analyze and reason about to provide personalized insights and proactive nudges. You choose what information to connect - from hospital lab results to your fitness tracker - and Copilot Health applies medical intelligence to surface easy to understand, personalized insights that you can actually act on. It's a dedicated space to bring your personal health data together in a single profile, including: - Activity, sleep, and vital trends from 50+ wearable devices, including Apple Health, Oura, Fitbit and many more - Health records from 50,000+ U.S. hospital and health systems, including visit summaries, medications, and test results - Comprehensive lab test results from Function Copilot Health enables people to arrive at their appointment with the right questions and the right context to make the time they have with doctors really count. Your data is always your data, and you are always in full control. Your data won't be used to train our AI models, and you can disconnect sources at any time. Our Copilot Health responses are also grounded in information from credible health organizations like Harvard Health, as well as real-time US provider directories to find the right real-world care. Copilot Health is launching first in the US to adults over 18, but we ultimately want to make this service available to the billions of people around the world who struggle to access reliable medical advice. Please give it a go and sign up to join the early Copilot Health community and help shape what comes next. More on the MAI blog: https://t.co/yw1qrPYycW

I've also been building an interactive chart tool for my research agents. All powered by MCPs! It integrates notes, agent sessions, memory, etc. Results are only based on my recent research agent sessions but I am building a fix for that too. https://t.co/1zLSxFymq0

We just launched Music Finetunes in @ElevenCreative Upload your tracks, train a custom model, and generate music with true stylistic consistency across genres, instruments and artists All with built-in copyright screening to protect creators https://t.co/82uvucJP3V

OpenClaw-RL Train Any Agent Simply by Talking paper: https://t.co/TNWPbgbZKL https://t.co/3WBrSy7Z0m