parameter golf was a blast. 2,000+ submissions. 1,000+ verified github accounts. ideas ranging from quantization and depth recurrence to TTT LoRA, SSMs, H-nets, JEPA, and more. autoresearch made iteration dramatically faster — and led to emergent bulletin boards, issue threads, unofficial leaderboards, and agent-built writeups that helped everyone learn from everyone else. it felt like a glimpse of where interaction with AI is headed: humans setting taste and direction, agents helping explore, coordinate, and share what works. our goal was simple: make ml research accessible to anyone, anywhere. it was amazing to see that happen. full recap: https://t.co/FxvcbImWzL future events: https://t.co/qanojnkjmJ

PyTorch 2.12 introduces updates across compilation, distributed systems, export, graph capture, and accelerator support. Join Andrey Talman (@Meta), @albanDesmaison (@Meta), and @joespeez (@reflection_ai), moderated by @Chris_AI_HPC (@Meta), on May 20 at 10:00 AM PT for a live Q&A covering the release and answering questions from the community. Highlights include the new device-agnostic torch.accelerator.Graph API, up to 100x faster batched eigenvalue decomposition on CUDA, support for microscaling quantization formats in https://t.co/DQ6E1nOVvb, fused Adagrad optimizer support, FlightRecorder updates, multi-GPU and multi-node profiling improvements, updated backend selection for torch.linalg.eigh on CUDA, and expanded CUDA, ROCm, XPU, MPS, and Arm platform support. 🔗 Register today: https://t.co/LThdjj96F0 #PyTorch #OpenSourceAI

We're excited to release Medmarks v1.0 + a technical report! This is an update to our Medmarks benchmark suite, the largest open-source automated suite for evaluating the medical capabilities of LLMs. We added 10 benchmarks (20→30) and 15 models (46→61) to the leaderboard! https://t.co/QAhQtzhRF5

Today's Hermes Agent Jam starts in 90 minutes! Join the Nous team in our Discord to share what you're working on @ https://t.co/avq295YPIm https://t.co/PLMoV6fwLK

Improvements to Perplexity Computer's traceability: 1. In finance tasks, hover over any number to see where it was pulled from (disclosed vs. derived) 2. Realtime market data (e.g. market cap) includes a timestamp of when it was pulled 3. Full calculation trace for derived values shown in-thread and in sidebar 4. Tap to audit filings for each value, pre-scrolled to the correct page 5. Or tap to visit Perplexity Finance for a deep dive on other company information

For a driver born without arms, FSD Supervised is life-changing accessibility “I was born without arms and have driven with my feet my entire life. I’m a fully licensed driver, and traditionally I drove with my left foot on the steering wheel and my right foot handling the gas and brake. My only legal restrictions are automatic transmission and power steering. Over the years, though, the strain from my congenital birth defects has led to significant arthritis in my hips. I drove a Model 3 for the past seven years, and it honestly helped extend my independence in a huge way. Recently upgrading to the Model Y – along with Full Self-Driving – has been a complete game changer for me. It dramatically reduces the physical pressure and fatigue of driving and has helped preserve a level of freedom and mobility that means a great deal to me. Most people understandably think of Tesla in terms of innovation or sustainability, but for some of us, this technology truly becomes life-changing accessibility.” – John F.

Today we launch Agency. Instead of prompting AI, AI prompts you. It watches your tools, finds useful work, drafts the action, and asks for approval. One click, and it sends the reply, creates the video, does the fix, solves your distribution, monitors your alerts, orders food, cancels subscriptions, finds the best product and sends screenshots for confirmation. It runs 24/7 from Telegram with thousands of one-click integrations like gmail, slack, DataDog, Linear... You can use it with your Claude Code / Codex subscription. And because the app and agent are on the same machine, Agency can edit and improve itself based on your decisions. Reply "Agency" and I will send you the link.

The 2026 PyTorch Docathon is underway, bringing the community together to improve the documentation developers rely on across PyTorch, Tutorials, and ExecuTorch. Contributors have already closed 100 pull requests and 73 issues. The Docathon runs through May 17, so there's still time to contribute. 🔗 Learn more and register: https://t.co/dvqqy28fEM 🔗 Track the leaderboard: https://t.co/bMxzRvrEfV #PyTorch #Docathon #OpenSourceAI

Today we're releasing Marionette: create robot motion with your hands (Reachy Mini). Browser-based, works on phone or computer. Hold the robot to record a move, add sound, share it with the community. Same format as our emotions dataset! An open source robot whose movements are community created. Let's go!

Step 3.5 Flash from @StepFun_ai is now free again in Nous Portal for the next 15 days! https://t.co/XcH8pUxrqK

Step 3.5 Flash from @StepFun_ai is now free again in Nous Portal for the next 15 days! https://t.co/XcH8pUxrqK

respect to whoever decides train/global_step deserves a panel. someone has to track the steps. fit bit global_step. credit: @frances23398579 https://t.co/RpmuHEOnz3

time to see who's diverging https://t.co/L8X6MBEiMc

How many tokens can we rip on this commute? https://t.co/q1JjOaTpB1

AI is becoming a research partner for scientists around the world. But as more researchers rely on AI for experiment design, reviews and analysis, an important question emerges: what happens when trust shifts from colleagues to machines? Science advances through verification, debate and human judgment. Those foundations still matter in the AI era. https://t.co/dMa1IRr6RP @ConversationUK @ConversationUS

Our cofounder @iamtimdavis built an AI storybook app using @BlackForestLabs' FLUX2 and @googlegemma 4 on Modular Cloud. Pick a character, make choices, and the story branches endlessly, with every page written and illustrated in real time. Tim has spent his career obsessing over inference latency, first at Google, now at Modular. Building something his kids use settled it: in a real-time generative app, the inference platform determines the experience as much as the model. The numbers back that up. From 24 hours of production traffic: first prose in 420ms, a full illustration in under 6 seconds, 85% of page turns in 48ms. Create your own story with Inkwell and share it. We're sending swag to our favorites: https://t.co/ocAP9ElBjE

We put our CEO in an Inkwell story. Chris Lattner: compiler legend and devoted Diet Coke hoarder. Someone stole his last case. The only way to get it back is to write a new programming language fast enough to track down the thief. Read it and choose your own ending: https://t.co/zWLwMqYrh3

Every Inkwell story stars a character you build. Pick the species, the hair, the outfit. Watch them come to life across an endless branching story, illustrated on every page. Make yourself the hero at https://t.co/RXe3DSArMf. Tag us in what you create. We're sending swag to our favorites.

For engineers: hit the </> button in Inkwell and dev mode stays on across every page. You'll see exactly how fast each image is generating in real time: latency, tokens/sec, and more. Powered by Modular Cloud. Try it at https://t.co/rNUKOjyRdx https://t.co/dYj7a8FSH0

Had an interesting exchange with roon of OpenAI last night over whether super intelligent AI would actually be able to navigate organizational challenges. https://t.co/2i9wYO24s1

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There will be no AI jobpocalypse. The story that AI will lead to massive unemployment is stoking unnecessary fear. AI — like any other technology — does affect jobs, but telling overblown stories of large-scale unemployment is irresponsible and damaging. Let’s put a stop to it. I’ve expressed skepticism about the jobpocalypse in previous posts. I’m glad to see that the popular press is now pushing back on this narrative. The image below features some recent headlines. Software engineering is the sector most affected by AI tools, as coding agents race ahead. Yet hiring of software engineers remains strong! So while there are examples of AI taking away jobs, the trends strongly suggest the net job creation is vastly greater than the job destruction — just like earlier waves of technology. Further, despite all the exciting progress in AI, the U.S. unemployment rate remains a healthy 4.3%. Why is the AI jobpocalypse narrative so popular? For one thing, frontier AI labs have a strong incentive to tell stories that make AI technology sound more powerful. At their most extreme, they promote science-fiction scenarios of AI “taking over” and causing human extinction. If a technology can replace many employees, surely that technology must be very valuable! Also, a lot of SaaS software companies charge around $100-$1000 per user/year. But if an AI company can replace an employee who makes $100,000 — or make them 50% more productive — then charging even $10,000 starts to look reasonable. By anchoring not to typical SaaS prices but to salaries of employees, AI companies can charge a lot more. Additionally, businesses have a strong incentive to talk about layoffs as if they were caused by AI. After all, talking about how they’re using AI to be far more productive with fewer staff makes them look smart. This is a better message than admitting they overhired during the pandemic when capital was abundant due to low interest rates and a massive government financial stimulus. To be clear, I recognize that AI is causing a lot of people’s work to change. This is hard. This is stressful. (And to some, it can be fun.) I empathize with everyone affected. At the same time, this is very different from predicting a collapse of the job market. Societies are capable of telling themselves stories for years that have little basis in reality and lead to poor society-wide decision making. For example, fears over nuclear plant safety led to under-investment in nuclear power. Fears of the “population bomb” in the 1960s led countries to implement harsh policies to reduce their populations. And worries about dietary fat led governments to promote unhealthy high-sugar diets for decades. Now that mainstream media is openly skeptical about the jobpocalypse, I hope these stories will start to lose their teeth (much like fears of AI-driven human extinction have). Contrary to the predictions of an AI jobpocalypse, I predict the opposite: There will be an AI jobapalooza! AI will lead to a lot more good AI engineering jobs, and I’m also optimistic about the future of the overall job market. What AI engineers do will be different from traditional software engineering, and many of these jobs will be in businesses other than traditional large employers of developers. In non-AI roles, too, the skills needed will change because of AI. That makes this a good time to encourage more people to become proficient in AI, and make sure they’re ready for the different but plentiful jobs of the future! [Original text in The Batch newsletter.]

AfD bei 28%, inzwischen hat sich der Abstand zur Union (22%) auf 6 Punkte vergrößert. Gleichzeitig sinkt auch das Verständnis für die "Brandmauer". Deutschland will den Wandel - wir sind dafür bereit. https://t.co/ie1le8vakP

over the weekend, I had the opportunity to participate in the AI Engineer Hackathon, hosted by the 65labs team as part of the road to AI Engineer 🇸🇬 the event was a 7-hour open-canvas build day with hundreds of builders experimenting, prototyping, and pushing AI tools as far as we could. I decided to build a game: Prompt Bound Prompt Bound is a retro pixel side-scroller that teaches AI engineering through play. Instead of explaining concepts in slides, the game turns them into levels: prompting, context, retrieval, tool calling, and agents. players move through each trial, meet characters, solve agent-themed challenges, collect rewards, and gradually learn how to work with AI Agents more thoughtfully. i built this because AI engineering can feel abstract when you first encounter it. A game gave me a way to make the learning loop more immediate. the @65labslah team consistently create excellent spaces for builders to meet, learn, and ship things together, and this hackathon was no exception. And huge congrats to the finalists and winners! Your pitches were amazing 🤩 Prompt Bound is not live yet; more improvements need to be made 😊 AI Engineer Singapore is sold out, but you can still join the community around it: explore AI Engineer Singapore side events here: https://t.co/bVr1kKAvBq Learn more about the main conference here: https://t.co/T2RQH3Wvps also shoutout to Codex! @SherryYanJiang @agrimsingh @brianchew @unprofeshme @adlinzainal @darenstwt

Philosophy is used as a prop in 2026 AI. Claude is exactly the same as it was in 2023, but now it comes with a Super Bowl ad, a “Model Welfare Officer”, and Dario Amodei musing publicly about its “possible” consciousness. • Architecture: unchanged. • Marketing evolution: Alignment → Character → Personality → Selfhood. The only thing being built is narrative. Everything else is inference-time safety theatre. Full breakdown: https://t.co/2vBZmlAUMA #ai #consciousness #safetytheatre

AReaL is joining the @PyTorch Landscape🎉https://t.co/5IvYOhWcYW Fully async, modular, built for the agentic AI era. AReaL is a scalable, RL infrastructure designed to bridge foundation model training with modern agent-based applications. Explore AReaL: https://t.co/659iOG4Xbq https://t.co/m8veV5wY0x

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AReaL is joining the @PyTorch Landscape🎉https://t.co/5IvYOhWcYW Fully async, modular, built for the agentic AI era. AReaL is a scalable, RL infrastructure designed to bridge foundation model training with modern agent-based applications. Explore AReaL: https://t.co/659iOG4Xbq https://t.co/m8veV5wY0x

Arm has released a set of hands-on labs designed to help developers deploy PyTorch models using ExecuTorch across real edge devices. The labs walk-through: • Exporting models into lightweight .pte artifacts • Running optimized inference on Arm CPUs (XNNPACK + KleidiAI) • Offloading workloads to Ethos-U NPUs using TOSA and Vela • Visualizing model partitioning and performance behavior It’s a practical way to understand how models are executed across heterogeneous compute—and how to optimize for it. If you’re working on edge AI or exploring on-device inference, this is worth a look: https://t.co/cml4cBVF3Q #PyTorch #ExecuTorch #OpenSourceAI

🚨 WARNING: The self-spreading “Mini Shai-Hulud” worm compromised npm & PyPI packages tied to TanStack, Mistral AI, Guardrails AI, OpenSearch & more. The attack used GitHub OIDC token hijacking and cache poisoning to spread credential-stealing malware across 42 TanStack packages and 84 versions. Check your dependencies immediately → https://t.co/33fxlrOPzz

Don't tell me Reachy Mini isn't the most adorable robot ever! https://t.co/BOGd95ann4

Due to rising RAM prices and tariff-related costs, Reachy Mini pricing will change on June 1st. Good news: you still have a bit more than 2 weeks to order at the Early Bird prices. Order here: https://t.co/UcMxyyfYO9 https://t.co/Oq4LjBlWUl

Meet physics-intern🧑‍🎓, our agentic framework for theoretical physics. It takes Gemini 3.1 Pro from 17.7% to 31.4% on CritPt, a new SOTA on one of the hardest benchmarks for LLMs. Theoretical physics is hard for humans and LLMs alike. But physics-intern decomposes problems and dispatches them to a team of specialized agents, solving research-level questions far more effectively than the base model alone.

Need document parsing that stays fully local and private? 👀 Meet liteparse-server, a self-hostable, open-source HTTP server for parsing documents and generating screenshots from PDFs, Office files, and images. ✅ 100% self-hosted ✅ Private by default ✅ Open source ✅ Built for production deployments Deploy it as: 🐳 a @Docker container ⚡ or a serverless Express.js API It also integrates easily with: - @Redisinc for caching and rate limiting - @opentelemetry-compatible collectors for traces and metrics - observability tools like @JaegerTracing, @PrometheusIO and @grafana Read the full breakdown here: https://t.co/E3y2ZHvURm GitHub repo: https://t.co/K0d8XVEFGK