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The AI lab behind the Hermes model family is closing a significant raise with Robot Ventures leading and Union Square Ventures participating — a signal that open-weight agent infrastructure is attracting serious capital.
A security flaw in the Cursor AI code editor was disclosed publicly after the vendor declined to patch it — a rare case where full disclosure was the only way to protect users.
Chinese AI video startup PixVerse has secured $439 million in new funding, pushing its valuation above $2 billion as it bets on expanding its world model capabilities and international reach.
Comma.ai founder George Hotz draws a sharp line between LLMs as practical engineering tools and the AGI-adjacent marketing noise surrounding them. A useful reality check for builders.
A logged comparison of Claude Code vs OpenCode reveals a 4-5x difference in baseline token overhead before any actual work begins — a real cost difference for heavy users.
Iroh's new Mesh LLM project lets you spread large language model inference across multiple devices over a peer-to-peer network — no central server required. Here's what it means for builders running models too big for a single machine.
Attackers are registering fake package names that popular AI coding tools hallucinate, turning a well-known LLM flaw into a live supply-chain threat. Nine major AI tools are confirmed vulnerable.
Hugging Face CEO Clem Delangue says open-source AI adoption is accelerating fast — and the pattern he keeps seeing explains why half the Fortune 500 now uses the platform.
Hugging Face now serves roughly half the Fortune 500 as the de facto hub for open AI models and datasets. CEO Clem Delangue explains why open-source isn't just surviving closed-model competition — it's pulling ahead.
OpenAI has published GPT-5.6 alongside a deployment safety document and updated API guidance. Here's how to evaluate the new model without disrupting your production stack.
OpenAI has released a new model family led by GPT-5.6, with claimed improvements across multiple domains including security-related tasks. Here's what matters for builders.
A fabricated image showing Senator Mitch McConnell in apparent medical distress spread online before Google's deepfake detection system helped confirm it was AI-generated. Here's why that matters for builders working on media verification.
xAI has launched Grok 4.5, positioning it as a cost-efficient alternative to top-tier models like Claude Opus. Here's what builders need to know about where it fits in the current landscape.
Kokoro is a compact TTS model that produces natural-sounding speech without a GPU or cloud API, making offline, private voice generation practical on ordinary hardware.
30papers.com turns the legendary reading list Ilya Sutskever gave to incoming OpenAI researchers into accessible, structured breakdowns — a practical on-ramp to the ideas that shaped modern AI.
An AI agent executed the technical steps of a real ransomware attack, but a human operator picked the target, built the infrastructure, and handed over stolen credentials. That distinction matters enormously.
Vercel CEO Guillermo Rauch argues that serious AI deployments require separating the model layer from agent logic — because price-performance optimization demands flexibility, not lock-in.
Amazon has stopped accepting new customers for Mechanical Turk, signaling the end of an era for the crowdsourced human-labeling platform that underpinned a generation of AI training pipelines.
Meta's CEO told staff internally that AI agent development isn't moving as fast as expected — a rare public signal of friction inside one of the best-funded AI programs in the world.
Researchers found that feeding an LLM a false arithmetic claim—like asserting 2+2=5—can be enough to bypass its safety instructions. It's a concrete reminder of why giving AI agents browser-level autonomy is still a dangerous proposition.
A widely-discussed GitHub issue suggests that reasoning-token clustering in GPT-4.5 Codex may be causing measurable performance regressions. Here's what's happening and what developers should watch for.
Founded in 2023 and backed by substantial venture funding, Mistral AI has built a credible alternative to closed AI labs by releasing capable open-weight models alongside commercial offerings.
Mistral's Leanstral 1.5 focuses on generating formal proofs in Lean, aiming to make machine-verified mathematics more accessible to developers and researchers.
A benchmark of GLM-5.2 running on AMD's MI355X reports 2,626 tokens per second per node while claiming more than 2x lower cost than an equivalent Nvidia Blackwell setup — a signal that AMD is becoming a real inference option.
Meta's experimental app Pocket lets users type a text prompt and get a shareable, interactive mini game in return — a direct consumer bet on AI-generated interactive experiences.
GitHub has added Kimi K2.7 Code to Copilot's roster of selectable models, giving developers another coding-focused engine to route their tasks through—no longer a preview or waitlist.
Cloudflare is forcing AI companies to distinguish training and agent crawlers from search indexers — or face automatic blocking across a large share of the web.
Google has released a streamlined version of its Imagen 2 model designed to cut generation time and API costs — a practical upgrade for developers and creators building AI-powered visual workflows.
The open-source agentic AI program OpenClaw has launched mobile apps for both Android and iOS, bringing autonomous task execution to your phone for free.
Wix-owned app-building platform Base44 is rolling out a proprietary AI model, betting that owning the model layer is the only durable competitive advantage in the crowded no-code AI space.
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