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Latest developments

Agents Don't Need Memory. They Need Documentation. liao.gg · 2 weeks ago · 24

Markdown in /src htmx.org · 3 weeks ago · 46

ChatHop Product Hunt · 1 month ago · 14

llm 0.34 Simon Willison’s Weblog · 1 month ago · 30

How I built this Ben's Bites · 1 month ago · 39

Ulpaso Product Hunt · 1 month ago · 31

Timeline

Month Quarter Year

Q4 2026

5 Oct Agents Don't Need Memory. They Need Documentation.

Q3 2026

22 Sep Markdown in /src
10 Sep ChatHop
2 Sep llm 0.34
28 Aug How I built this
28 Aug Ulpaso

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TLDRocket 19 October 2026

Nvidia’s latest open-model push set the tone for AI’s next phase: less “big chat,” more dependable agent infrastructure. Alongside its enterprise pitch, the company released Nemotron 3.5 Super VL, a 120-billion-parameter multimodal model aimed at always-on corporate agents, and followed with Nemotron 3.5 Bolt, a locally runnable, laptop-focused variant. Artificial Analysis reports Super VL lands 26 points on its 10-benchmark Intelligence Index while using about 60% less text than the prior Nemotron 3 Super—an efficiency bump that matters when tokens are your operating cost, not your poetry. Nvidia also shifted availability toward faster, leaner deployments, including new quantized variants and updated API token pricing designed for long-running workflows.

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Latest developments

Timeline

Q4 2026

Q3 2026

Every AI story that matters, in your inbox by 8am.

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