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privatrak.com · 2026-10-27 · Ranked: agent match · community signal · fresh 0.99 · score 3.30 · Context

We sent 23 AI agents to our website. Most looked human

arxiv.org · 2026-10-26 · Ranked: agentic + evaluation match · research watch · fresh 0.90 · score 3.19

Evaluating DeepSeek V4.1 Flash-1017 for loss of control and harmful manipulation risks

As frontier language models grow increasingly capable and autonomous, independent third-party evaluations are critical for characterizing their systemic safety risks. While closed-source releases are routinely accompa... Context & related coverage →

arxiv.org · 2026-10-26 · Ranked: agent + eval match · research watch · fresh 0.90 · score 2.69

MiRL: Error-Targeted Reinforcement Learning for Correcting Terminal Agent Misbehaviors

Error-targeted learning gives a legible way to improve a model: identify specific weaknesses of the model, train the model to fix these weaknesses, and check whether the weaknesses are fixed. We study how to apply err... Context & related coverage →

devhunt.org · 2026-10-27 · Ranked: community signal · fresh 0.99 · score 2.69 · Context

Adios.dev AI Native Cloud – Is Live on DevHunt

arxiv.org · 2026-10-26 · Ranked: eval match · research watch · fresh 0.91 · score 2.67

Retriever-Free Retrieval: Navigating Documents with Decision Models

While language models have become dramatically more capable, retrieval still largely relies on lexical matching or similarity in fixed embedding spaces. This creates a capability asymmetry: what the retriever fails to... Context & related coverage →

arxiv.org · 2026-10-26 · Ranked: eval match · research watch · fresh 0.91 · score 2.65

TRACE: Memory-Efficient Time Series Class-Incremental Learning via Temporal-Spectral Reconstruction

Web-connected sensing applications continuously generate multivariate time series with evolving behavioral categories, making Time Series Class-Incremental Learning (TSCIL) essential for adapting to new classes withou... Context & related coverage →

arxiv.org · 2026-10-26 · Ranked: agent + harness match · research watch · fresh 0.91 · score 2.62

Profiling a Frontier Agent with EBench: From Direct Control to Harness with Policy

Frontier multimodal large language models (MLLMs) can control robots without robot-specific training, but how their capabilities compare and interact with post-trained vision-language-action (VLA) and world action mod... Context & related coverage →

infoq.com · 2026-10-26 · Ranked: agent + eval match · practitioner analysis · fresh 0.86 · score 2.46

DigitalOcean Launches Learning and Data Services to Enable Self-Improving AI Agents

DigitalOcean has announced the public preview of Learning Services and Agent Data Services, enabling developers to build, evaluate, and continuously improve AI agents within a unified, AI-native, cloud platform. By Se... Context & related coverage →

South China Morning Post · 2026-10-27 · Ranked: community signal · fresh 0.96 · score 2.38 · Context

Moonshot apologises after botched Kimi K3.1 Pro launch, restores user quotas

chele.bi · 2026-10-27 · Ranked: community signal · fresh 0.97 · score 2.30 · Context

Stop Explaining Yourself to AI

blog.cloudflare.com · 2026-10-26 · Ranked: cloud platform update · fresh 0.86 · score 1.60

Cross-request KV cache exposure in the GLM-5.3 Workers AI model, and our remediation with SGLang

A configuration mismatch in GLM 5.3 on Workers AI triggered an SGLang bug that exposed KV cache pages across requests. Here is how we addressed the issue. Context & related coverage →

openai.com · 2026-10-26 · Ranked: codex match · frontier engineering · fresh 0.86 · score 1.23

How Ultrafast cut incident investigation from hours to minutes at OpenAI

See how OpenAI engineers use Codex Ultrafast to investigate incidents in minutes. Explore faster security analysis, code refactoring, and daily workflows. Context & related coverage →