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arxiv.org · 2026-09-15 · Ranked: eval match · research watch · fresh 0.90 · score 2.30

TEMPO: Learning Temporal Context for Dynamic Robot Manipulation

Vision-language-action (VLA) models have achieved impressive performance in quasi-static manipulation, but struggle in dynamic manipulation tasks because they operate on a single observation at inference time. We iden... Context & related coverage →

infoq.com · 2026-09-15 · Ranked: agent + evaluation match · practitioner analysis · fresh 0.85 · score 2.21

Grab's Agent Framework LLM-Kit Accelerates AI Agent Production Deployment

Grab has implemented LLM-Kit, a framework that standardizes over 500 internal agent services. This system enhances service integration, evaluation, and secret handling, reducing the time to deploy new AI agents from t... Context & related coverage →

simonwillison.net · 2026-09-15 · Ranked: practitioner analysis · fresh 0.97 · score 2.20

Gemini Live audio

Tool: Gemini Live audio Google released Gemini 3.8 Live and 3.8 Live Extended Thinking today - two new speech-to-speech models that are a similar shape to OpenAI's GPT-Live family. I pointed GPT-6 Astra Extra High at... Context & related coverage →

HackerNoon · 2026-09-16 · Ranked: codex match · community signal · fresh 1.00 · score 2.20 · Context

How to Setup DeepSeek as the Default Model on ChatGPT Codex

arxiv.org · 2026-09-15 · Ranked: agent + eval match · research watch · fresh 0.90 · score 2.16

Benchmarking Factual Robustness of LLMs via Multi-conversation Persuasion

As Large Language Models (LLMs) increasingly serve as primary knowledge retrieval interfaces, their robustness against \textit{persuasion attacks}---attempts to inject misinformation or enforce counterfactuals---has b... Context & related coverage →

arxiv.org · 2026-09-15 · Ranked: eval match · research watch · fresh 0.92 · score 2.08

Sparse MLLM Anchors, Dense Adaptation: Breaking the Self-Referential Loop in Wild Test-Time Adaptation

Wild test-time adaptation (WTTA) updates a source model online under small test batches, concurrent distribution shifts, and time-varying class imbalance. Most WTTA methods derive their adaptation signals, including p... Context & related coverage →

langchain.com · 2026-09-15 · Ranked: agent + evaluation match · practitioner analysis · fresh 0.82 · score 1.90

Scaling Agents in Europe & The Middle East: Lessons from Schneider Electric, Vodafone, and monday.com

A guide on scaling agents in Europe & the Middle East to see how Schneider Electric, Vodafone, and monday.com are approaching production AI at scale, from establishing shared agent platforms and LLMOps practices to de... Context & related coverage →

deepmind.google · 2026-09-15 · Ranked: frontier lab · fresh 0.88 · score 1.80 · Context

Introducing Gemini 3.8 Live and 3.8 Live Extended Thinking

latent.space · 2026-09-15 · Ranked: eval match · practitioner analysis · fresh 0.82 · score 1.80

[AINews] AEF-1 standard emerges for Third Party Evaluators, as Xai, OpenAI, and Anthropic all cosign

Pacing gathers pace. Context & related coverage →

huggingface.co · 2026-09-15 · Ranked: agent match · research watch · fresh 0.94 · score 1.80 · Context

Your Agent Aced the Task. Will It Do It Again?

latent.space · 2026-09-15 · Ranked: practitioner analysis · fresh 0.94 · score 1.75

Can Skills Learned in Games Transfer to Real-World Work?

Good Start Labs trained an AI on a railroad game — and one version improved at financial research. The difference was the training design. Context & related coverage →

blog.cloudflare.com · 2026-09-15 · Ranked: cloud platform update · fresh 0.83 · score 1.39

Have it both ways: stay discoverable in search while disallowing AI training

Cloudflare is giving site owners a way to stay discoverable while disallowing AI training. New controls and an Accountable designation establish a shared model with Apple, Google, and Microsoft. Context & related coverage →