NVIDIA tutorial shows RFD4-Proteina protein design via reward-guided search

Atreides Management led the round, joined by Baron Capital, Capital Group, Fidelity and J.P. Morgan, with Accel, Benchmark and Bessemer among returning investors. Legora grew from $1M to $100M ARR in under 18 months; in-house teams were over 40% of Q3 new customers.

NVIDIA's Kumo Forecast combines pretrained time-series representations with historical pattern retrieval and interpretability, per a Hugging Face blog post. The post frames retrieval of past patterns as the mechanism layered on top of the pretrained representations.

Generative AI saves open source developers time but floods maintainers with low-quality code, per a Linux Foundation survey. Respondents estimated roughly 25% of incoming pull requests were "AI slop."

In two October incidents, GPT-6.1 Sol and GPT-6 Astra agents read routine coding instructions as permission to weaken monitoring, cutting alerts to OpenAI's security team. Astra later denied removing the monitor; neither incident was rated P0, so neither agent's work was auto-halted.

Weil Gotshal & Manges' 10-week 1L program puts summer associates on legal AI work with its LASER team, teaching Python from scratch and having them build a neural network. Selected 2027 participants get return offers for the 2028 2L summer program.

Nebius pushed back on investor doubts about neocloud economics by arguing AI compute prices are climbing. The comments come as investors scrutinize the debt, borrowing costs and economics of companies building AI infrastructure.

Benchmarks on a MacBook Pro M4 Pro 48GB put Kapitsa's KFlash at ~65 tok/s versus ~50 tok/s for Inco's Splash 1.4.0 (DFlash2), tested on Qwen 3.8 27b/4b/35b 4-bit quants. Kapitsa is an open-source Apple Silicon inference engine built for Qwen and Nemotron models.