PRIME-RL launches as a fully open-source reinforcement learning framework capable of scaling to 1000+ GPUs and trillion-parameter models, supporting major AI model families with asynchronous training, multimodal capabilities, and flexible multi-node deployment under the Apache 2.0 license.
A new attention variant called Wall Attention launches with per-channel, per-timestep multiplicative decay for independent forgetting rates, backed by optimized Triton kernels enabling efficient autoregressive decoding, full GQA support, attention sinks, sliding windows, and sequence packing with verified numerical accuracy.
MiniMax unveils its M3 AI model series featuring a groundbreaking 15.6x decoding speed boost and a self-developing agent that autonomously managed 30-50% of its own development workflow, rivaling Google's Gemini 3.1 Pro on key benchmarks.
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.
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 powerful open-source toolkit called OBLITERATUS is making waves by surgically stripping AI refusal behaviors from large language models using a technique called abliteration, while simultaneously crowdsourcing anonymous benchmark data to build a live community leaderboard tracking refusal mechanism research across model architectures.
Human review is emerging as the backbone of AI evaluation, with teams using domain experts to build golden datasets that power increasingly accurate automated scoring systems over time.
Andrej Karpathy's free 'Neural Networks: Zero to Hero' course on GitHub is empowering learners worldwide to build GPT models from scratch through 8 hands-on video lectures covering everything from backpropagation to Transformer architecture and Byte Pair Encoding tokenization.
Anthropic signs a massive $45 billion deal with SpaceX, paying $1.25 billion per month through 2029 for AI computing power across two SpaceX data centers, including the Memphis-based Colossus 1, to fuel surging demand for its Claude AI software.
Google launches 'Gemini for Science,' a groundbreaking AI-powered suite partnering with 100+ institutions including Stanford and Imperial College London to revolutionize scientific discovery through hypothesis generation, computational analysis, and access to 30+ life science databases.