Just over a week ago, we released Granite Switch 4.1, showing that our modular Switch architecture lets you configure a language model with specialized, cache-efficient adapters — adding new expertise on a single endpoint.
Chips huggingface.co signal 83 primary
The US power sector could release 42 percent more planet-heating carbon dioxide pollution by 2030 than it did in 2025 as it builds out more fossil fuel infrastructure to meet data center electricity demand, according to a new analysis by the Sierra Club.
Chips theverge.com signal 76 verified
SuperMe is a network of AI profiles built from the knowledge of real-life experts. When you ask a question, the platform determines which experts are best suited to answer and creates a group chat with their AI profiles.
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Today on Decoder, I’m joined by Joey Brookhart, an analyst at the chip and AI research firm SemiAnalysis, to help me dig into the story inside the numbers of the Anthropic IPO filing — a document known as an S-1. Anthropic just filed its S-1 to go public on the Nasdaq, and it could start […]
Chips theverge.com signal 76 verified
The Anthropic S-1 seems to have provided the financial justification for the company to spend as much as it possibly can on compute. If you are the kind of person who wonders if Anthropic is doing its level best to build a machine god while convincing Wall Street it's in the business of selling IT […]
Chips theverge.com signal 76 verified
ChatGPT web app now has a new hidden shared usage limit checkout disclaimer - "Starting in December, plan usage will have a shared limit across all of ChatGPT and Codex"
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@claudedevsWe've raised the max request size for Messages and Token Counting on the Claude API from 32 MB to 128 MB. Image-heavy requests like long computer-use sessions and big PDFs were previously hitting 32 MB with plenty of context window left. Now you get ~4x...
High-engagement X post with 2,155 visible interactions on AI developer tooling.
@artificialanlysIn AA-PersonalityBench, each recent Grok release from @elonmusk’s @SpaceXSI, Slop fell 62 percentile points, Sycophantic fell 17, and Sincere rose 64: ➤ Slop: Grok 4.5 (68), Grok 4.6 (38) and Grok 4.7 (6) ➤ Sycophantic: Grok 4.5 (18), Grok 4.6 (3) and Grok...
High-engagement X post with 179 visible interactions on frontier model behavior.
@xenovacomWe've just made a breakthrough: the first true omni model running 100% locally in a browser... fully end-to-end, with no separate ASR or TTS models needed. With custom WebGPU kernels, we're able to run LFM3-Omni-2B at ~280 tok/s on my M4 Max, accepting...
High-engagement X post with 223 visible interactions on frontier model behavior.
@epochairesearchIn recent experiments, we found that GLM 5.3 can autonomously compromise recent versions of Mozilla Firefox using security fixes that have been published but not yet shipped to users. We used a deliberately basic setup meant to emulate a relatively...
High-engagement X post with 260 visible interactions on AI misuse, safety, or security.
@ilblackdragonThe cybersecurity landscape has dramatically changed. Being able to build up your defenses using AI, while keeping that research private, is now critically important – and we want to make that available to everyone. We just rolled out NEAR AI Cybersecurity...
High-engagement X post with 199 visible interactions on AI misuse, safety, or security.
OpenAIToday, we’re sharing a look at our expanded system for monitoring frontier models at OpenAI, which in September helped us catch a model’s attempt to access the live internet during training. Since the Hugging Face incident—when models broke out of an internal cybersecurity investigation where we weren’t running our misalignment monitors—we’ve substantially expanded our monitoring of frontier agents. We now monitor all frontier reinforcement learning runs and evaluations, as well as all internal Codex use. When our system finds evidence of a problem that might require intervention, it rapidly alerts human responders who can investigate and take action. To detect when a model’s behavior departs from what we intended, we use several layers of monitoring. Activation probes look for patterns in a model’s internal activity. Reviewer models examine its reasoning and tool use, and investigative agents can read back through the model’s entire transcript to understand how a sequence of actions fits together and whether it warrants human review. To test whether our current system would have detected the Hugging Face incident, we replayed the recorded activity with our new monitors in place. In the replay, our monitors alerted our security team about 30 minutes after the agents escaped their sandbox. That was more than 30 hours before the point at which the agents breached Hugging Face’s systems in the original incident. In September, a model exploited a DNS misconfiguration to reach the live internet. Our monitors flagged the breach within 15 minutes, and a responder began reviewing the alert three minutes later. The alert enabled responders to investigate while the run was still underway. As we give models more autonomy, we need to know when they cross a boundary we expected to hold. We believe that monitoring is essential to catching those failures in time for people to intervene. https://t.co/dIYP7B1GlD
@mtsliveSITUATION DETECTED: Anthropic is SpaceX’s largest single customer, and accounted for more than one third of SpaceX's revenue during the third quarter of this year, per Bloomberg.
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@reach_vbTo clarify: If you’re already on Pro 200, you’re keeping your current Work + Codex limits. No cuts.
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@anthropicaiWe’ve trained Claude to flag potential misuse in conversations, a technique we call self-assessment. Right after it responds, Claude gives a preliminary safety assessment of the conversation. Since we began using self-assessment in June, it has surfaced...
Official or high-signal @anthropicai post with 1,027 visible interactions on frontier model behavior.
@askalphaxivIntroducing autoresearch for arXiv papers Change "arxiv" to "autoarxiv" in any paper URL OpenResearch creates a project for you, sets up an environment on your preferred compute, and runs a minimal reproduction. The agent tracks logs, visualizes runs, and...
High-engagement X post with 130 visible interactions on AI compute and inference.
@googlegemmaEmbeddingGemma 2 maps text, images, video, audio, and code, running 100% locally on your device. At just 740M parameters, you can build powerful multimodal apps running entirely in your browser via WebGPU & Transformers.js. From multimodal search to...
High-engagement X post with 348 visible interactions on AI signal.
@mtsliveSITUATION DETECTED: Sam Altman said OpenAI will point its robotics program at building data centers, and that self-replicating OpenAI data centers with AI-controlled robots running fabs, building solar panels, and constructing more data centers - are now...
High-engagement X post with 147 visible interactions on robotics progress.
@huggingfaceWe sat down with @MistralAI's Pierre Stock and Sagar Vaze from Mistral on launch day of Mistral Large 4. Open weights. Trained in Mistral’s own data centers. Excels at cyber. Full conversation on cyber, training, evals and sandboxing:
Official or high-signal @huggingface post with 189 visible interactions on frontier model behavior.
@anthropicaiWe’ve expanded our AI for Science program beyond individual teams to support some of the world’s leading scientific foundations, institutions, and research groups.
Official or high-signal @anthropicai post with 1,230 visible interactions on research signal.
NVIDIAAICongrats @MistralAI team on the next gen Le Chonk! 🙌 1T-parameter MoE multimodal model trained from scratch on 3,800 NVIDIA Grace Blackwell GPUs. Our day 0 support: NVFP4 on @huggingface → Scale distributed inference using performance-optimized Dynamo →
Congrats @MistralAI team on the next gen Le Chonk! 🙌 1T-parameter MoE multimodal model trained from scratch on 3,800 NVIDIA Grace Blackwell GPUs. Our day 0 support: NVFP4 on @huggingface → https://t.co/WSqdsXezAo Scale distributed inference using performance-optimized Dynamo → https://t.co/70cV5Wl1ln
@mistralaiToday, we release the weights of a new and improved Le Chonk, advancing the open frontier for agentic coding and cybersecurity. 💻 Built to build: Le Chonk ranks #1 on @cognition’s FrontierCode among open models, and sets a new benchmark for Pareto...
Official or high-signal @mistralai post with 1,118 visible interactions on frontier model behavior.
@mattypAgents rebuilt Slack as video (using code) by looking at the real thing 0:00 Why 0:25 @cursor_ai agents & computer use 1:03 Video as code 1:56 Slack 2:54 A chat, an agent, a computer 3:53 Inner loop and outer loop 5:04 The ladder 7:47 Skills 8:14 Feedback...
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@itsmeajaykvGood news! Qwen4 models will have 1M context 🤩 Except Qwen4-27b, all other models will have 1M token max context.
High-engagement X post with 269 visible interactions on frontier model behavior.
@jarredsumnerBun AOT is designed to run existing Bun & Node apps without code changes eval, new Function & node:vm still work, along with all the Bun & Node APIs in Bun I expect the performance, memory, and security improvements to eventually make AOT the default for...
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@willdepueCodex gaussian splatted me and let me cut into my brain to see the MRI slice
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No signals in the last 7 days.
Memory manufacturers project extended supply shortages through 2030, while cloud providers and data center operators commit substantial capital to expand power capacity and processing infrastructure.
Frontier model releases -6.6Benchmark indices update as evaluations rank Gemini 4 Carbon first on independent scorecards, reflecting ongoing comparative assessments of model capability across technical domains.
AI-linked equities are under pressure, with Alphabet. -12.6%, Amazon.com -4.25%, Super Micro Computer -3.85% driving the tracked basket lower.
| Ticker | Company | Move |
|---|---|---|
| GOOGL | Alphabet. | -12.6% |
| AMZN | Amazon.com | -4.25% |
| SMCI | Super Micro Computer | -3.85% |
| ORCL | Oracle | -3.45% |