A robot following a multi-step instruction needs to act on the right objects in the right order, even as the scene changes. It must also maintain awareness of task progress and determine when to advance. To address th... Context & related coverage →
arxiv.org · 2026-10-13 · Ranked: agent + harness match · research watch · fresh 0.92 · score 2.39
Clinical trial protocols serve as the source of truth for study design, but are mostly written and used as unstructured PDF documents. Digitizing protocols turns static content into structured, machine-readable data t... Context & related coverage →
Open models like GLM-5 and MiniMax M2.7 now match closed frontier models on core agent tasks — file operations, tool use, and instruction following — at a fraction of the cost and latency. Here's what our evals show a... Context & related coverage →
arxiv.org · 2026-10-13 · Ranked: agentic match · research watch · fresh 0.93 · score 2.21
Frontier language-model agents can now improve robots on their own: they write control code, test it, and keep what works as skills and memories for the next task. We introduce SEAR (Self-Evolving Agentic Robotics), a... Context & related coverage →
Learn how Orange Business used LangChain and LangSmith to build Live Intelligence, a governed AI platform for agents, evals, observability, and production scale. Context & related coverage →
Once AI is in production, code arrives faster than it can be reviewed, token costs rise, evals have to be good enough to act on, and agents need permissions and guardrails. QCon AI New York 2026 (December 15-16) has c... Context & related coverage →
arxiv.org · 2026-10-13 · Ranked: eval match · research watch · fresh 0.92 · score 2.03
Protein sequence, structure, and functional annotations each capture complementary aspects of protein biology, yet existing tokenizers encode each modality independently, limiting the expressiveness of discrete protei... Context & related coverage →
Bloomberg.com · 2026-10-14 · Ranked: community signal · fresh 0.99 · score 2.02 · Context
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress. Context & related coverage →
arxiv.org · 2026-10-13 · Ranked: evaluation match · research watch · fresh 0.91 · score 1.94
Large Language Models (LLMs) are aligned to human preferences, after pre-training and supervised fine-tuning steps. However, standard RL alignment steps such as RLHF do not focus on factuality of LLMs, hence they may... Context & related coverage →
If the agent isn't using my diagnostics library, I could introspect and update AGENTS.md, but there's still a delta, and it'll drift. Instead, I write a pre-commit hook that checks the git diff for direct calls to obs... Context & related coverage →
Last week we announced that Gemini Enterprise has evolved to make it even simpler to get work done, and introduced the Gemini agent , your new universal agent for work. It's always on and ready to answer your question... Context & related coverage →
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