Anthropic Banned OpenClaw: The OAuth Lockdown That Fractured the Claude Developer Community
Anthropic officially banned the use of Claude subscription OAuth tokens in all third-party tools including OpenClaw. Full timeline, economics, and what it means.
Gemini 3.1 Pro Is Here: Google's Reasoning Just Jumped 2.5× in Three Months
Google ships Gemini 3.1 Pro with a verified 77.1% on ARC-AGI-2 — more than double Gemini 3 Pro. It's now the second-best reasoning model behind Deep Think, and it's available to everyone today.
Anthropic Studied Millions of AI Agent Sessions. The Biggest Finding: Humans Are the Bottleneck.
Anthropic analyzed millions of human-AI interactions and found a massive 'deployment overhang' — AI can handle 5-hour tasks, but users cap them at 42 minutes.
DeepMind's Aletheia Solved 4 Problems No Human Could — And Got 68.5% of Everything Else Wrong
Google DeepMind's Aletheia is an AI research agent that wrote a publishable paper solo and cracked unsolved math problems. But its 6.5% useful answer rate tells the real story.
OpenAI's AI Can Now Hack 72% of Smart Contract Vulnerabilities — And That's the Good News
OpenAI and Paradigm launch EVMbench, a benchmark showing AI agents can exploit most known smart contract bugs. The offense-defense gap is the real story.
Claude Sonnet 4.6: The Mid-Range Model That Keeps Embarrassing Flagships
Anthropic's new Sonnet 4.6 nearly matches Opus on coding and reasoning, crushes computer use benchmarks, and somehow beats every model at office work and finance. Full benchmark breakdown inside.
Anthropic vs The Pentagon: When Your AI Company Gets Treated Like a Foreign Adversary
The Pentagon is threatening to designate Anthropic as a 'supply chain risk' over Claude's military usage guardrails. Here's what's actually happening.
Grok 4.20: xAI's 4-Agent AI System Goes Live — Benchmarks, Architecture, and Pliny's Jailbreak
xAI launches Grok 4.20, a multi-agent system where four specialized AI agents debate in real-time. Here's how it works, where it ranks, and the system prompt Pliny the Liberator already extracted.
Sam Altman would like to remind you that humans use a lot of energy, too
"It also takes a lot of energy to train a human."
Finally crossed 75% on HLE & LiveCodeBench Pro with Gemini 3.1 Pro scaffolding
nanollama — train Llama 3 from scratch and export to GGUF, one command, open source
nanollama — train Llama 3 from scratch. I've been working on a framework for training Llama 3 architecture models from scratch: not fine-tuning, not LoRA, actual from-zero pretraining. The output is a llama.cpp-compatible GGUF file. The whole pipeline is one command: ''' bash runs/lambda\_trai
Anthropic could surpass OpenAI in annualized revenue by mid-2026 (EpochAI)
Best open-source coder model for replacing Claude Code with Qwen locally?
Hi everyone, I’m currently using Claude Code but want to move fully local. I’m specifically looking for a strong coding model for: * Claude code like capaiblities - code + bash * Long file capabiliites * Read image, files I’m considering `Qwen3-Coder`, but I’m unsure: 1. Is `Qwen3-Coder` the b
The Architecture of Cognitive Efficiency: Designing High-Density AI News Aggregators for Technical Audiences
A deep research study on designing professional-grade AI news interfaces — from Bloomberg Terminal heritage to dark-mode psychophysics, chromatic engineering, and AI-centric UX patterns.
AI Slashes Biotech Costs: OpenAI & Ginkgo's 40% Breakthrough
OpenAI's GPT-5 and Ginkgo Bioworks' automated lab have cut cell-free protein synthesis costs by 40%, a major leap for pharma and biotech R&D. Learn how.
OpenClaw Adds xAI's Grok: A New Brain for Your AI Assistant
Discover how the open-source AI assistant OpenClaw now supports xAI's Grok model, offering users more choice and power for their self-hosted agents.
Meet the Philosopher Teaching AI Right From Wrong
Meet Amanda Askell, the philosopher at Anthropic teaching the AI Claude how to be good. Discover how 'Constitutional AI' is shaping the future of AI ethics.
Meta Deployed AI and It Is Killing Our Agency
Running Llama 3.2 1B entirely on an AMD NPU on Linux (Strix Halo, IRON framework, 4.4 tok/s)
I got Llama 3.2 1B running inference entirely on the AMD NPU on Linux. Every operation (attention, GEMM, RoPE, RMSNorm, SiLU, KV cache) runs on the NPU; no CPU or GPU fallback. As far as I can tell, this is the first time anyone has publicly documented this working on Linux. ## Hardware - AMD Ryze
Are AI coding agents (GPT/Codex, Claude Sonnet/Opus) actually helping you ship real products?
I’ve been testing AI coding agents a lot lately and I’m curious about real-world impact beyond demos. A few things I keep noticing: • They seem great with Python + JavaScript frameworks, but weaker with Java, C++, or more structured systems — is that true for others too? • Do they genuinely speed