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Oct 15, 2026, 4:31 AM EDT
Figma Ships Specs, a Markdown Rules Editor for AI Agents, and Takes Code Layers to Public Beta
At its first Config in India, Figma launched Specs, a Markdown editor for design rules that agents can consult as context, moved code layers from private to public beta, and added more than 20 tools to its MCP support, TechCrunch reports.
Oct 15, 2026, 4:29 AM EDT
Bank of America Says Patching Flaws Anthropic's Mythos Found Cost It 'A Couple Hundred Million Plus'
On its Q3 2026 earnings call, Bank of America CEO Brian Moynihan disclosed 1,000 contractors and hundreds of millions in costs tied to patching flaws Anthropic's Mythos model exposed — one of the first concrete megabank tallies of frontier-model dual-use risk.
Oct 15, 2026, 3:39 AM EDT
Ant Group's inclusionAI Ships Ling-3.1-flash: 560B Open-Weight MoE With 1M-Token Context and a Vercel AI Gateway Lane
Ling-3.1-flash pairs 560B total and 25B active parameters with a 1M-token native context window, an MIT license badge on its model card, day-0 SGLang and vLLM support, and a Vercel AI Gateway model ID callable from Claude Code and Codex. Verified specs, recipes and chronology.

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Hero overview of five Deep Agents context techniques keeping the active window small while file-backed detail stays retrievable.

October 14, 2026

Deep Agents Guide to Context Engineering: Keep the Window Small and Detail Recoverable

LangChain's Oct. 14 Deep Agents guide explains five middleware techniques for recoverable context engineering: offloading, summarization, skills, subagents, and file-based memory that survives model switches.

Illustration of the fork-and-flush result. On a solution map a dashed gray path shows one run refining inside idea basin A, while orange fork branches with fresh chat context reach the higher-scoring basin B. A bar panel shows normalized average scores at equal compute across 13 tasks: 0.47 for a single run, 0.54 for best-of-4 and 0.78 for fork-and-flush, and notes the method held the highest mean score on 12 of 13 tasks.

October 13, 2026

Microsoft Research's Fork-and-Flush Keeps the Files and Wipes the Chat: 66 Percent Higher Normalized Average Score at Equal Compute

A Microsoft Research paper finds long-running agents get stuck in idea basins. Fork-and-flush - branch the agent, flush the chat, keep the workspace - reached a 0.78 min-max-normalized average score versus 0.47 for single runs, a 66 percent relative gain at equal compute across 13 tasks.

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