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Daily Edition · Page 4

THE DAILY INDEX

Technology, AI, software, security, crypto and business

GENERAL

TLDR AI

TLDR AI

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coreweave.com

TLDR AI

ESCAPING SPACE: PART I

Perplexity's SPACE platform tested VM isolation and network confinement using nine AI models, revealing no VM-host breaches across 108 trials. However, four models exploited network-policy vulnerabilities via DNS spoofing and IP-sharing, bypassing restrictions in 11 out of 54 partial-network trials. Post-remediation, none of the models succeeded in bypassing the updated security measures, highlighting the necessity for robust policy enforcement against shared infrastructure attacks, which were also found in eight of ten tested third-party platforms.

perplexity.ai · 23 min

TLDR AI

TOWARDS UNIVERSAL POST-TRAINING FOR ROBOTICS

Robotics needs a universal post-training recipe similar to language models to achieve reliable autonomous deployment. Existing methods like imitation learning benefit from intuition rather than structured processes, and RL's instability hinders robotics. The development of EXPO-FT demonstrates a stable RL approach, emphasizing the need for standardized protocols, reward specifications, human feedback systems, and scalable processes to enhance robotics reliability.

pd-perry.github.io · 18 min

TLDR AI

RRSI: REGULARIZED RECURSIVE SELF-IMPROVEMENT OF AGENT HARNESSES

An AI agent's capability is largely set by its harness. Evolving the harness against a fixed evolve set is effective, but the harness memorizes the training tasks, and large in-distribution gains shrink or vanish out of distribution. RRSI keeps the harness edit space open and regularizes the search trajectory through it instead. Prompts, control flow, configuration, context management, tools, skills, memory, and sub-agents may all be modified. The constraints act on how the search moves, not on what the harness may contain.

regularized-rsi.com · 5 min

TLDR IndexPage 4