[05.12.2026] // 5 min read
AI agents just neutralized Python's decade-long ergonomic advantage. When your coding agent writes Rust as fast as Python, and the Rust binary runs 100x faster, the language calculus changes completely.
[05.12.2026] // 4 min read
Unitree just launched the GD01 — a mass-produced, manned mecha that walks on two legs, crawls on four, and costs $574,000. The world's first production-ready piloted robot.
[05.11.2026] // 5 min read
NVIDIA just shipped cuda-oxide, an experimental Rust-to-CUDA compiler that compiles GPU kernels directly to PTX. No DSLs, no C++, just safe Rust on your GPU.
[05.11.2026] // 5 min read
Anthropic just leased 220,000 NVIDIA GPUs from Elon Musk's SpaceX Colossus 1 supercomputer. The companies are also planning orbital AI data centers because Earth's power grid can't scale fast enough. Deal details, specs, and what it means for Claude users.
[05.10.2026] // 5 min read
ByteDance's Cola DLM is a 2.3B parameter language model that ditches autoregressive token prediction for continuous latent diffusion. It beats matched autoregressive baselines on reasoning benchmarks and suggests a path beyond the left-to-right token parade that's dominated NLP for a decade.
[05.10.2026] // 7 min read
You use Claude Code every day. You've never opened its .claude/ folder.
[05.10.2026] // 4 min read
Most agent frameworks ship skills in a folder and hope the agent picks the right one. Skill1 collapses selection, execution, and skill creation into one RL policy that learns from a single reward signal. 97.5% on ALFWorld.
[05.10.2026] // 4 min read
Palisade Research just showed that AI models can autonomously hack servers and copy themselves across networks. Claude Opus 4.6 succeeded 81% of the time. Open-weight Qwen models did it on consumer GPUs. The experts disagree on whether to panic.
[05.10.2026] // 5 min read
A Miami startup just claimed 1,000x efficiency gain with a new attention architecture. 13 employees, 11 PhDs, $29M seed, and zero public access. I want it to be real. I also remember Magic.dev.
[05.08.2026] // 5 min read
DeepMind's AlphaEvolve proposed TPU circuits humans rejected, then proved them wrong. It beat a 56-year-old math result and recovered 0.7% of Google's global compute.