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Latent Space covers AI news on model releases and weight space programming

Original title: [AINews] Behind Latent Space: Kill My SaaS, Jev & AI in 2026 | AIEi Shanghai

Latent Spaceby swyx .ai ()14 min read1
AI summary · x-ai/grok-4.7Summaries by Vani AI

Latent Space reports on frontier model capabilities for direct weight editing and multiple new AI model releases.

The publication features AI Engineer Shanghai and an interview on Latent Space history. It discusses replications of weight-space programming where frontier LLMs generate or edit small networks' weights. It also covers model releases including Tencent Hy4, Sarvam Prism, Kimi K3.1 Pro, and open-weight models like P-H3-Image and LongCat-2.5. Benchmarks, pricing, and agent capabilities are compared across models.

Key facts
  • Frontier models can edit weights without gradient training
  • Multiple independent replications reported
  • Tencent Hy4 scores 75.2 on APEX-Agents
  • Open-weight releases include Kimi K3.1 Pro and LongCat-2.5
Explain this AI news with Vani AIWhat was announced, what is new and why it matters, in a new chat

From the original article

14 min read at latent.space

November 3, 2026 — A quiet day lets us share some behind the senes.

Latent Space

By swyx .ai · latent.space

Read the full article at Latent Space

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.