Archive
244 trends · Page 7 of 112026-05
- Executable evidence dominates agent software reliability researchDay · 2026-05-09
- Robot VLA reliability is being tested at memory, action, and release pointsDay · 2026-05-09
- Coding agents are being judged on restraint, proofs, and repository disciplineDay · 2026-05-08
- Robot VLA papers are optimizing for deployable foresightDay · 2026-05-08
- Repository-grade coding exposes where agents still breakDay · 2026-05-07
- Robot policies are judged by object identity, contact, and simulator fidelityDay · 2026-05-07
- Software agents look strongest when their work is executable and access-scopedDay · 2026-05-06
- Robot policies are being measured by compact foresight and deployable controlDay · 2026-05-06
- Executable checks are setting the bar for software agentsDay · 2026-05-05
- Robot policies and world models are being judged by memory, contact, and action fidelityDay · 2026-05-05
- Coding agents are being judged by interfaces, token cost, and repository evidenceDay · 2026-05-04
- Robot VLA deployment claims face data scale and control latency testsDay · 2026-05-04
- LLMs gain credibility when software tasks give them narrow evidenceDay · 2026-05-03
- Robot learning papers put deployment details under testDay · 2026-05-03
- Agentic coding research is setting hard gates around generated workDay · 2026-05-02
- Robot VLA policies are adding execution-time judgmentDay · 2026-05-02
- AI coding agents are being judged by controls, traces, and full-task costDay · 2026-05-01
- Deployable robot policies need online learning, explicit plans, and fast perceptionDay · 2026-05-01