Experimental releases of GrapheneOS with our initial port to the Linux 6.18 branch are now available for testing on the Pixel 10, Pixel 10 Pro, Pixel 10 Pro XL and Pixel 10 Pro Fold. We've done initial testing but there will likely be at least a dozen more crashes and other issues to find and fix. People should only help with testing this if they're able to tolerate regular kernel panics and various hardware functionality not working. We've done basic testing of Wi-Fi, Bluetooth, cellular, GNSS, Vulkan and virtual machines via the Terminal app and microdroid API but there's far more to test. If you're interested in helping with testing, please join either our #testing:grapheneos.org channel on Matrix or #testing on our Discord server. We've posted links to over-the-air updates for each of the 4 releases in both channels. These are production builds signed with the official signing keys. Users can update to these from our current releases and update from those to future experimental and regular releases. Hardware functionality should be the focus. Bluetooth / BLE, NFC, assorted Wi-Fi APs / standards, DisplayPort alt mode, USB peripherals, USB host modes, GNSS and NFC are examples. These experimental releases have all of the changes from our current development branch and are security preview releases with the security preview patches from our previous release. We have 4 official build machines so we can build for all 4 devices in parallel and make new releases as people test. Do not install the experimental releases unless you can tolerate regular freezes, kernel panics and broken hardware functionality. These are highly experimental and you should not expect the device to be very usable during the early testing. We'll make new releases with fixes for discovered issues.

Introducing: Odysseys2 - hardest long horizon benchmark for web agents based on real user tasks 🏗️ We collaborated with @JangLawrenceK @rsalakhu from Carnegie Mellon University > SOTA agent fully completes only 47/100 > 5 agents complete none > 8-12 real rubrics per task, 60 min on the live web Web agents are becoming better than humans at knowledge work. odysseysbench.com/v2

American glass. American metal. American silicon. American batteries. American workers. American everything. BlueChip is the first American computer in decades. Don't let anyone lie to you and say it can't be done. Designed in California. Built in America.

Apple unveils the 24-inch iMac with M6 chip.

Today we're launching the new Wonder! The fastest way to go from design to code and back. Connect your code. Run your app locally. Turn screens into editable layers. Ship directly from the canvas. You can finally use your own Claude and Codex subscription. Try it out today.

The fastest inference in the world is coming to @OracleCloud. @cerebras and @Oracle partner to enable blisteringly fast inference on OCI. Cerebras brings fast AI. Oracle brings deep expertise building and running AI infrastructure at scale. Enterprises have trusted Oracle with their most important data and applications for decades. Partnering with Cerebras gives Oracle customers more choice to match each AI workload to the compute that suits it best. Coming soon, they’ll be able to build agents with true super fast AI in the cloud they already use. Thank you to @MThiagarajan_ and the @Oracle team. Excited to build this with you. Full announcement here: investors.cerebras.ai/news-r…

Over the past few months, Anthropic scientists have engaged in deep research partnerships with six organizations developing new medicines. We've also begun drug discovery efforts of our own. In doing so, we’ve learned much more about how Claude can support the many stages of drug development. In this blog post, we share some early results from these efforts, and describe how this work fits in with our wider ambitions in the life sciences. anthropic.com/research/early…

Introducing the Parallel Decisions API: the first web-grounded decisions engine. Decision models like Jev can answer in an instant, but they lack the recency of current news. Now you can get both in a single call. Decisions API is live today at $0.001 per request. Try it with 5,000 free requests: platform.parallel.ai/play/de… Here are some examples we've been experimenting with: - Fact-check content (@Grok is this true?) - Refresh stale banking records - Classify companies and leads with fresh signals - Backtest trading strategies - Track competitor e-commerce inventory

Introducing FrontierCode 2.0: our new coding benchmark that measures a model’s ability to go beyond the spec. Most coding evals measure a model’s ability to write code that meets a spec. With FrontierCode 1.0, we asked a new question: would you actually merge the PR? FrontierCode 2.0 is comprised of more diverse tasks, featuring larger scopes and higher mergeability standards. We are now asking: not only would you merge this PR, but should you? One key feature of FrontierCode 2.0 is underspecified prompts. Rather than including every engineering decision, prompts are deliberately ambiguous, giving the models room to demonstrate their judgment. The result is a benchmark that is far from saturated, with the top model scoring just 45%.

Introducing 𝙻𝙵𝙼𝟹: our new generation of Liquid Foundation Models. With a new tri-hybrid architecture and new multimodal encoders, the LFM3 family is the ideal model suite for specialized intelligence. > 6 model instances, across text, audio, vision, and omni modalities, generative and decision models. > 𝙻𝙵𝙼𝟹-𝟷.𝟽𝙱: text, 256k context window. > 𝙻𝙵𝙼𝟹-𝚅𝙻-𝟸𝙱: vision-language model with video-input support for spatial understanding > 𝙻𝙵𝙼𝟹-𝙰𝚞𝚍𝚒𝚘-𝟸𝙱: tool calls, voice chat, reasoning in 18 languages. > 𝙻𝙵𝙼𝟹-𝙾𝚖𝚗𝚒-𝟸𝙱: an omni model combines vision, audio, and language. > 𝚍𝟷-𝟸𝙱 and 𝚍𝟷-𝙾𝚖𝚗𝚒-𝟸𝙱: decision models with typed outputs and calibrated probabilities in a single pass. Omni adds audio input. > fine-tune on 1 GPU. > a new tri-hybrid architecture > architecture optimized for 14 processor classes across GPUs, CPUs, and NPUs. > 𝙻𝙵𝙼𝟹-𝚅𝙻-𝟸𝙱 is a beast. It performs competitively with Gemma 4 12B (6x larger), and Gemini 3.5 Flash Lite, and GPT-5.6 Luna, with 1.9B parameters. > 𝙻𝙵𝙼𝟹-𝟷.𝟽𝙱 is #1 on the Pareto frontier of device intelligence 𝚙𝚒𝚙𝚎𝚝𝚝𝚎.𝚕𝚒𝚚𝚞𝚒𝚍.𝚊𝚒 Every modality for specialized intelligence. Pick the one that fits your use case, customize it, and run it on-device. 1/ 🧵

Today we're coming out of stealth, introducing Neywa Labs 🚀 We built the infrastructure to build and deploy AI that runs on the devices people already own. Private, offline, unlimited. One mission: make AI available to everyone in the world. neywalabs.ai/

This is Genie 4, our most realistic and interactive world model yet. 🌐 Explore dynamic environments in real time to see how the scene responds, sounds, and how the people in it move, react, and speak.

Introducing Echo-3. A state-of-the-art world model. Echo-3 turns phone captures into photorealistic, metric-scale 3D worlds. From a single room to multi-floor buildings, outdoor and public spaces. Available today.

The next era of AI is being built, together. AMD Helios is now running at @Meta. EPYC powers Muse. Instinct GPUs are accelerating AI workloads. From silicon to software to rack-scale systems, we're building AI infrastructure for the superintelligence era: bit.ly/4dY49jV.

🚨 Announcing Smaug Humanizer - Humanize your AI-generated text in your tone - open-weights dropped on HF - plug-and-play to humanize your text - sound more human and less robotic - built on Gemma Destroy AI-slop and bring creativity back to the internet

We are proud to partner with the Ministry of Defence on a joint framework to advance AI adoption across the Army, the Navy and the Air Force. @pratykumar @vivekrag @AalekhSharan

GPT-6.1 Terra means business. Our new fast, efficient model pairs sharper visual reasoning and precise computer use with clearer, more natural writing. From decoding technical drawings to drafting proposals, filling forms to editing videos—it’s built for the whole workday. GPT-6.1 Terra is rolling out today to Plus, Pro, Enterprise, and Edu users in ChatGPT Work and Codex.

Unlimited OCR 2 is here, and it's open source. 📖 ✨ Longer documents can mean a lot more attention computation. Our new SR-SWA mechanism keeps that in check by condensing text-visual attention interactions into a fixed-size set of working references. Here's what it delivers: - Document parsing at virtually any length, within a finite context window - Nearly constant per-step decoding latency and memory footprint as documents grow longer - State-of-the-art performance on MPDocBench and MarathonDocBench, covering documents from dozens to hundreds of pages Check out the model here ↓