The LGTM (Page 98)

The LGTM

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NVIDIA’s Ineffable Intelligence Deal Says the Next AI Bottleneck Is Experience, Not Data

NVIDIA’s Ineffable Intelligence Deal Says the Next AI Bottleneck Is Experience, Not Data

NVIDIA’s partnership with Ineffable Intelligence is easy to dismiss as another frontier-lab funding story with better lighting. Do not stop there. The interesting part is not the valuation, the founder résumé, or the phrase “superlearners.” It is the workload NVIDIA is trying to prepare for: AI systems that generate

DeepSeek V4 on NVIDIA Blackwell Is a Long-Context Agent Story Disguised as an Inference Post

DeepSeek V4 on NVIDIA Blackwell Is a Long-Context Agent Story Disguised as an Inference Post

DeepSeek V4 is being sold as a million-token model launch. That is the least interesting way to read it. NVIDIA’s new guidance for running DeepSeek V4 on Blackwell, GPU-accelerated endpoints, NIM, vLLM, SGLang, NemoClaw, AI-Q, and NeMo is really a serving story. The model is large enough to get

Gemini 3.1 Deep Think Is Google’s Agentic Coding Flex — But Bring Your Own Eval Harness

Google’s Gemini 3.1 update is not subtle about the audience it wants: developers choosing which model gets to touch a terminal, a repo, a browser session, and eventually production-adjacent workflow state. The DeepMind model page now presents Gemini 3.1 Pro and Gemini 3.1 Deep Think less

Codex Hooks Going GA Makes Agent Policy Programmable — and Also Reviewable

Codex Hooks Going GA Makes Agent Policy Programmable — and Also Reviewable

Hooks are the kind of feature that rarely wins a launch-day popularity contest and then quietly becomes the thing enterprises cannot deploy without. OpenAI’s Codex Hooks going generally available is not glamorous. It is also one of the more important Codex platform moves this week, because it gives teams