Anthropic surpasses OpenAI in valuation after raising $65 billion in a Series H round at a staggering $965 billion post-money valuation, backed by Sequoia Capital and tech giants Samsung and Micron, as the AI powerhouse reports $47 billion in run rate revenue and eyes a potential IPO.
Biohub launches a groundbreaking open-source AI protein biology platform featuring three powerful tools that outperform AlphaFold 3 in antibody-antigen prediction, design cancer-targeting protein binders with up to 88% lab-validated hit rates, and make 6.8 billion protein sequences searchable to accelerate global scientific discovery.
Micrograd, a 150-line Python autograd engine with over 16,000 GitHub stars, brings PyTorch-like deep learning power to bare-bones code, making neural network backpropagation transparent and accessible at the most fundamental scalar level.
Crawl4AI, the open-source AI web crawler boasting 66,700 GitHub stars, releases critical security hotfix v0.8.6 while also delivering a 5–10x speed boost, anti-bot detection, and Shadow DOM flattening for developers building RAG pipelines and AI agents.
Google DeepMind CEO Demis Hassabis shortens his AGI timeline to 2029-2030, citing rapid AI agent acceleration, as tech leaders race to predict when artificial general intelligence will reshape humanity.
Cisco research exposes a critical AI safety flaw, revealing that every major frontier AI model from OpenAI, Anthropic, Google, Amazon, and xAI fails multi-turn attack tests, with vulnerability rates rising up to 71% after just five conversational turns — exposing dangerous gaps in current industry safety benchmarks.
Elite researchers from Google DeepMind, Apple, OpenAI, and Meta launch Trajectory, a bold new AI startup designed to help companies build self-improving AI products by training models on real-world user interactions.
A new benchmark called DeepSWE launches to rigorously test AI coding agents on 113 real-world software engineering tasks across five programming languages, using isolated Docker environments and behavior-based grading to evaluate frontier models like Claude Code, Codex, and Gemini CLI.
A network of fake academic journals is publishing over a hundred AI-generated papers falsely attributed to real professors at top universities, raising urgent alarms about the integrity of scientific knowledge as AI-generated content grows increasingly difficult to detect.
Google launches Gemini for Science, a powerful multi-agent AI platform compressing years of scientific research into days, with tools already tackling liver disease, aging, and virus transmission alongside major enterprise and government partners.