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AI News

The biggest AI headlines, updated throughout the day.

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anthropic.com·2h ago

Anthropic Expands Cyber Verification Program with 3-Tier Access for Security Pros

Anthropic has expanded its Cyber Verification Program (CVP) into a three-tier system giving vetted security professionals access to advanced Claude models including Claude Opus 5.5, Claude Sonnet 5.5, and Claude Mythos 5.1 with reduced blocking classifiers. The tiers — Defense Access, Red Team Access, and Specialized Access — offer increasing capabilities based on verified use cases. The program integrates the former Project Glasswing, which helped partners find over 129,000 verified software vulnerabilities between April and July 2026. CVP is available on Claude Platform, Google Cloud Vertex AI, and Microsoft Foundry.

Tools & Products·5h ago

Hark Launches "Hark Pro" AI Operating System Designed to Manage Your Entire Life

Hark has launched Hark Pro, an AI platform the company describes as an operating system for your life, designed to think ahead and assist with real, practical tasks. The product onboards users and integrates into daily routines seamlessly. Hark's marketing takes direct aim at competitors, with promotional material referencing unsubscribing from ChatGPT. The launch video, posted on YouTube, has drawn early attention, with viewers praising its UI and speculating about potential acquisition interest from Apple.

Model Release·5h ago

Google Launches EmbeddingGemma 2: 740M-Param Multimodal On-Device Embedding Model

Google has launched EmbeddingGemma 2, a million-parameter multimodal embedding model built on the Gemma 4 architecture and released under an Apache 2.0 license. It maps text, images, audio, video, and code into a unified embedding space for on-device inference. The model features an 8K token context window, Matryoshka Representation Learning for up to 6x storage reduction, and requires as little as 567MB RAM for full multimodal use on a Pixel 11 Pro. It follows EmbeddingGemma 1, which surpassed 20 million downloads.

Company News·5h ago

Atlassian & OpenAI Expand Partnership, Bringing GPT-6 Models to Rovo Platform

Atlassian and OpenAI are expanding their partnership to bring GPT-6 family models, including GPT-6 Astra and the GPT-5.6 series, across Atlassian's platform and Rovo AI assistant. Rovo combines OpenAI intelligence with Atlassian's Teamwork Graph, an enterprise context layer linking people, projects, documents, and decisions. The deal, building on a 2023 collaboration, also sees over 3,000 Atlassian developers using OpenAI's Codex. The companies are exploring deeper Jira integrations to let teams assign work to AI agents and track results.

Tools & Products·6h ago

Google Earth AI Helps WHO Forecast Ebola, Dengue & Cholera Outbreaks Proactively

Google has partnered with the WHO and other institutions to deploy Google Earth AI tools for proactive disease outbreak forecasting. During the ongoing Ebola outbreak in the Democratic Republic of Congo, WHO AFRO used a Geospatial Reasoning agent prototype to identify 48 exposed settlements and over 45,500 at-risk people in minutes, a process that normally takes weeks. The system also forecasts dengue in Mexico, predicts cholera hotspots eight weeks in advance in the DRC, and supports cardiovascular mortality projections at NYU Langone Health.

Mustafa Suleyman on X·7h ago

Nobel Laureate Acemoglu: AI Will Replace Only 5% of Human Tasks in 10 Years, MAI Reports

Nobel laureate Daron Acemoglu predicts that AI will replace only 5% of human tasks within the next ten years, pushing back against widespread fears of mass automation. Acemoglu made this prediction in the debut issue of The Humanist Review, a new magazine exploring the future of AI published by MAI. The publication was shared by Mustafa Suleyman on X. Acemoglu argues that society needs to reconsider prevailing assumptions about how quickly and broadly AI

Tools & Products·7h ago

Pinterest AI Beauty Guides Turn Hair and Nail Pins Into Salon-Ready Action Plans

Pinterest launched Beauty Guides, a new AI feature that converts saved hair and nail Pins into actionable salon plans. Powered by Pinterest Intelligence, the tool translates visual inspiration into stylist terminology users may not know, such as "balayage," "root melt," or "almond nails." Accessed via a "Get the Guide" button, it provides specific requests to make at the salon, estimated time, price ranges, and maintenance requirements like toning or trimming frequency. At launch, it covers hairstyle, color, nail shape, and finish.

musubilabs.ai·8h ago

Musubi Releases PolicyLM-1.7B: Open-Weight Content Policy Classifier Under 100ms

Musubi has released PolicyLM-1.7B, an open-weight content moderation classifier designed for Trust and Safety teams needing real-time decisions in live chat, game lobbies, and DMs. Unlike fixed classifiers, it reads your custom policy with every message, so rule changes take effect immediately without retraining. It runs under 100ms, with a median of 35ms on a 24GB L4 GPU, supports multi-label scoring across 19 languages, and is available under Apache 2.0 on Hugging Face.

Model Release·9h agoMatt's Pick

Mistral Large 4 Launches: 1T-Parameter Multimodal Model Rivals Top Closed AI Systems

Mistral has launched a public preview of Mistral Large 4, nicknamed "le Chonk," a trillion-parameter natively multimodal model with 49 billion active parameters trained on 3,800 NVIDIA Grace Blackwell GPUs in Mistral's European datacenters. The model targets coding, agentic workflows, cybersecurity, and multimodal tasks, outperforming open-weight models from the US and Europe. It scores 82% on a real-world vulnerability reproduction test and surpasses GPT-6 Astra on visual grounding. Weights release by end of October.

Model Release·yesterday

Reflection AI Launches Beam: 501B Open-Weight Model Built for Coding & Agentic Tasks

Reflection AI has introduced Beam, a billion-parameter sparse Mixture-of-Experts model with 23 billion active parameters, designed for coding, reasoning, and agentic workloads. Trained on 23.8 trillion tokens, Beam underwent a massive reinforcement learning run using 10,500 NVIDIA GB300 GPUs over four weeks, generating over 100 million rollouts. It matches or outperforms similar open-weight models like GLM 5.2 on coding benchmarks while using 3–4× less inference compute. Weights and a technical report will be released later this month.

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