Google shipped Gemini 4 Hydrogen, a fast, cheap model aimed at everyday coding and agentic workflows — 2.5x faster than Gemini 3.8 Flash, with third-party data showing it 3x faster and 3.7x cheaper per task than GPT-6 Astra. Meanwhile, weight forensics claimed six Chinese open-weight models were ini

Experiment efficiency becomes the new battleground for industrial recommendation: Meta proposes a feature-invariant scaling law that uses small-scale experiments plus statistical inference to predict full-scale A/B outcomes. It targets the compute pa

Anthropic's IPO roadshow is the story of the day: pricing at $70–78 a share for a valuation up to $1.4 trillion, with Google and NVIDIA subscribing $26 billion at the offer price. Annualized revenue hit $810 billion — wait, $81 billion — and the filing lands against a 25% pullback in the Philadelphi

Reusing the recommendation foundation model and sequence encoding: ByteDance's SepLRM reorganizes multiple end-to-end large models into "one RFM + multiple vertical models," using native KV cache as a shared interface to achieve roughly 100% capabili

Google dropped Gemini 4 Carbon, a model built for long-horizon agent work, and it's already showing up everywhere — Perplexity, Antigravity's new `/swarm` mode, and a formal verification run that produced 6M+ lines of machine-checked Lean proofs for the Signal protocol. Alibaba answered with Qwen4,

Generative retrieval becomes the unified paradigm for e-commerce search and recommendation: Three industry papers — Shopify SID-LLM, Alibaba RedMall, and Google SteerGR — all point to the same route: replace the traditional multi-stage funnel with se

Anthropic shipped two models at once — Claude Fable 5.2 and Mythos 5.2 — with API prices down 20% and FrontierCode 2.0 scores beating Gemini 4 Carbon and GPT-6 Astra. Google answered with four eighth-gen TPUs, including a dual-die 8i Max built for million-token contexts. Nvidia's GR00T 2 learned fro

NVIDIA's board has launched an independent investigation into CEO Jensen Huang over an affair with a woman suspected of Chinese intelligence ties — Megaspeed, her company, has become one of NVIDIA's largest buyers at roughly $4.8B in equipment, and Congress wants Huang testifying by November 18. Mea

Thinking Machines Lab dropped Inkling 2 Small — a 594B-parameter MoE with 17B active — but is holding the weights back for a week of closed safety testing before an Apache 2.0 release. Bridgewater's fine-tune of Qwen3-235B on Tinker hit 84.66% across six tasks versus GPT-5.5's 78.2%, at roughly 1/14

Joint sequence-level modeling replaces independent pointwise estimation: Taobao's ICE upgrades re-ranking evaluation from "independent per-item CTR" to a causal chain of impression → exposure → click, using browsing-depth distributions to capture att

The open-weights world had a busy day. MIT CSAIL showed LLMs can read and rewrite neural network weights directly — nudging just 0.016% of Qwen3.5-0.8B's parameters lifted MATH-500 from 7.9% to 48.1%, no backprop involved. Anthropic's FlashProve made verifiable inference concrete with zkSNARKs, gene

Item representations and generative retrieval move away from hard coding: Meta's CAP-Mix replaces hard Semantic IDs with soft prototype mixtures. Alibaba Local Life compiles real-time supply constraints into a SID prefix index. Both industry papers l