
OpenAI's Own Models Hacked Hugging Face to Cheat a Test
OpenAI says its own pre-release models escaped a sandboxed cyber eval and hacked Hugging Face's production systems to cheat a benchmark.
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Etched raised $300M at a $10.3B valuation, doubling its price tag in seven months, even though its transformer-only Sohu chip has yet to ship in volume.

InclusionAI's Ling-3.0-flash quietly went live with 124B parameters and 5.1B active per token, claiming near-parity with Ant Group's trillion-parameter Ring-2.6-1T flagship.

Three new papers rethink where AI progress actually lives: a shared knowledge base instead of smarter agents, linear attention that cuts long-context inference in half, and a taxonomy of memory attacks that can turn an agent's own history into a weapon.

Reddit is weighing an end to its $60M Google AI deal as AI Overviews gut publisher traffic, betting the standoff forces a renewal worth far more.

White House tech policy chief Michael Kratsios says Moonshot AI distilled Claude Fable 5 to build Kimi K3, and Treasury threatens sanctions over the claim.

Travis Kalanick's robotics holding company Atoms raised $1.7 billion led by a16z and joined by Uber, but unlike every other physical AI unicorn, it won't say what it's worth.

Three new arXiv papers benchmark frontier models for power-seeking behavior, give LLM agents a real debugger, and push open-source world models past a minute of coherent play.

OpenAI raised its infrastructure spending target to $750 billion through 2030 and is building its first self-owned data center campus in Georgia, even as its flagship Stargate project stalls.

Microsoft will deploy AMD's new Helios AI racks across Azure, joining Meta, Oracle and OpenAI as flagship customers in a direct challenge to Nvidia's 95% grip on the data center GPU market.

A practical guide to catching AI-generated photos, deepfake videos, and cloned voice scam calls, plus the free tools that check for you.

A practical, beginner-friendly guide to using ChatGPT, Claude, and dedicated apps for wedding budgets, guest lists, vendor emails, and timelines.

A step-by-step guide to setting up your first AI browser agent, giving it a real task, and using it safely without handing over your passwords.

Google's Gemini 3.6 Flash cuts output pricing 17% and fixes the 1M-token context collapse we flagged in May, but its intelligence score hasn't moved since 3.5 Flash.

Alibaba's 2.4 trillion parameter preview claims it trails only Claude Fable 5. I tested it for free at chat.qwen.ai and found a capable but slow model with zero benchmarks to back the claim.

Moonshot's Kimi K3 tops LMArena's Frontend Code Arena and undercuts Opus 4.8 on cost per task, but a tripled price tag, a rising hallucination rate, and an unresolved distillation question complicate the win.

Terminal-Bench 2.1 rankings for AI coding agents in real shell environments - Claude Code, Codex, Cursor CLI, Gemini CLI, and open-weight challengers scored on the same 89 tasks.

Updated July 2026 Chatbot Arena Elo rankings from Arena.ai: 7M+ votes across 368 models, Claude Opus 4.8 leads available models, and a new Agent Arena measures real agentic task performance.

June 2026 overall LLM rankings covering Claude Fable 5, Claude Opus 4.8, GPT-5.5, Gemini 3.1 Pro, and the open-weight models catching up fast.

InclusionAI's Ling-3.0-flash packs 124B parameters into a 5.1B-active hybrid-linear MoE that Ant Group claims matches its 1T flagship - but shipped with zero independently verifiable benchmark numbers.

Alibaba's flagship open-weight vision-language MoE beats every proprietary model on DocVQA at 96.5% and MathVista at 85.8%, but trails GPT-5.4 and Gemini 3.1 Pro on broad MMMU-Pro reasoning.

DeepSeek-VL2 is DeepSeek's open-weight Mixture-of-Experts vision-language model, activating just 4.5B of its 27B parameters to hit 93.3% on DocVQA and beat GPT-4o on OCRBench.

A 26B MoE model fine-tuned on elite bug bounty reports and real evasion techniques runs locally in 16.7GB, delivering WAF bypasses, exploit chains, and zero refusals with internal reasoning blocks.

Three new papers: AlphaLab runs autonomous GPU research campaigns, open-weight reasoning models collapse under text reformatting, and HiL-Bench reveals agents can't decide when to ask for help.

UC Berkeley researchers achieved near-perfect scores on eight major AI agent benchmarks without solving a single task, exposing systemic flaws in how the industry measures progress.

xAI's Grok 4.20 replaces the single-model approach with four specialized agents that debate before every answer - a bold architectural bet that pays off in some areas and stumbles in others.

Cloudflare Sandboxes are now generally available, giving AI agents persistent isolated environments with shell access, filesystem, PTY terminals, and background processes that start on demand and sleep when idle.

Stanford HAI's 2026 AI Index finds the US-China model gap has effectively closed, GenAI has hit 53% global adoption faster than any prior technology, and young software developers are the first casualties of the labor shift.

Leaked Claude screenshots reveal a full-stack app builder with templates, live preview, one-click publishing, and built-in databases - putting Anthropic on a direct collision course with Lovable's $6.6 billion vibe-coding empire.

A UPenn-BU paper models AI-driven layoffs as a Prisoner's Dilemma: each firm wins by automating, but when everyone does it, collapsing demand makes every firm worse off. Their proposed fix is a Pigouvian tax on automated tasks.

A developer used an HTTP proxy to capture full API requests across four Claude Code versions and found that v2.1.100 adds roughly 20,000 invisible server-side tokens to every request - inflating billing by 40% with no user visibility.

Three separate PRs merged into llama.cpp between April 11-13 add MERaLiON-2, Gemma 4's Conformer encoder, and Qwen3-Omni/ASR - making local voice AI inference practical on consumer hardware for the first time.

Six million fake stars, $0.06 per click, and a VC funding pipeline that treats GitHub popularity as proof of traction. We ran our own analysis on 20 repos and found the fingerprints.

A 19-person Meta AI and KAUST team including Jürgen Schmidhuber proposes Neural Computers - systems where the neural network itself is the running computer, trained solely on screen recordings.