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DeepSeek harness 0.2 - Optional Bundle Architecture, Windows Sandbox improvements, Async Question Mode, Desktop release, Web Search without key

DeepSeek harness 0.2 refactors the schedule functionality into an Optional Bundle, separating installed from enabled features via the Profile + Bundle model. It also enhances Windows Sandbox with a permission-diagnosis s…

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With most information hidden, the game Stratego had stumped AI—until now

Researchers from Carnegie Mellon, MIT, NYU, and Stanford developed Ataraxos, an AI that succeeded where earlier systems like DeepNash failed, by mastering the imperfect‑information dynamics of Stratego. Trained on a mode…

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FTC is investigating OpenAI, Anthropic and other AI companies over product risks

The Federal Trade Commission has launched a formal investigation into OpenAI, Anthropic, and other unnamed AI firms regarding potential risks associated with their AI products. This regulatory action follows growing conc…

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Where-OPD: Spatially Guided On-Policy Self-Distillation of MLLMs with Synthetic Scenes

Where-OPD introduces a spatially guided on‑policy self‑distillation method for multimodal large language models (MLLMs) that leverages procedurally generated synthetic scenes providing automatic object identities and spa…

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Show HN: Open-source model routing for coding agents at Astra-level performance

Weave Router 2.0 is an open‑source model‑routing system that plugs into coding agents such as Claude Code or Codex and dynamically selects among a pool of LLMs—using Astra for demanding debugging or system‑design tasks a…

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Google figures out how to watermark AI-designed proteins

Google’s DeepMind team adapted its SynthID watermarking technology to protein sequences by integrating a variant called SynthIDBio into the ProteinMPNN design pipeline. ProteinMPNN first generates a suitable backbone, th…

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Pay for the Fault, Not the Flow: Label-Free In-Flow Multi-Agent Workflow Optimization

The article introduces InFlowOp, a label-free framework for optimizing multi-agent workflows in large language models (LLMs). Traditional workflow construction faces challenges in determining task granularity, agent assi…

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Google's early attempt to pay websites for AI answers is struggling

Google has enrolled approximately 100 publishers in a pilot program compensating websites when their content materially contributes to Gemini-powered AI Overviews, marking a departure from its longstanding position that …

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OpenAI says planned GPT-6.1 is too insecure to release

OpenAI announced that its planned GPT-6.1 model is deemed too insecure for release. The company cited security concerns, noting similar performance and security trade-offs observed in existing public models.

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Clef: Open Weights decision model by Cloudflare

Cloudflare released Clef, an open‑weights decision model, as announced in a Reddit post on r/LocalLLaMA. The post was submitted by u/paf1138 on 2026-10-01.

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We benchmarked 18 RAG pipelines against an agent loop on Google's FRAMES. The best pipeline hit 78.9%. The agent loop hit 92.7%.

We benchmarked 18 RAG pipeline variants on Google's FRAMES benchmark using identical model, embeddings, and documents across 824 multi‑hop questions. The highest‑scoring pipeline achieved 78.9% accuracy, while an agent l…

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The gap is smaller than they told you: local 27B nearly matches frontier on real code tests

On a specific real‑code test, a local 27B parameter model scored 98.0% correct, exceeding the average 96.6% of frontier cloud models. While frontier models achieve perfect scores on this task only about two‑thirds of the…

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