Episode
RL training data quality control & Agents that persist across sessions - AI News (May 9, 2026)
- Podcast
- The Automated Daily
- Published
- May 9, 2026
- Duration seconds
- 600
- Processing state
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- https://theautomateddaily.com/episodes/2026-05-09-rl-training-data-quality-control-agents-that-persist-across-sessions
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Summary
Please support this podcast by checking out our sponsors: - Lindy is your ultimate AI assistant that proactively manages your inbox - https://try.lindy.ai/tad - Discover the Future of AI Audio with ElevenLabs - https://try.elevenlabs.io/tad - SurveyMonkey, Using AI to surface insights faster and reduce manual analysis time - https://get.surveymonkey.com/tad Support The Automated Daily directly: Buy me a coffee: https://buymeacoffee.com/theautomateddaily Today's topics: RL training data quality control - Sean Cai argues many reinforcement-learning datasets sold to frontier labs fail internal QC, wasting data budget and training compute. Key keywords: RL data, intake review, active testing, reward hacking, contamination. Agents that persist across sessions - New agent workflows emphasize continuity and clear success criteria, with Codex CLI’s /goal persisting objectives across restarts and long pauses. Key keywords: Codex CLI, /goal, runtime continuation, long-horizon agents. Token costs in CI agents - GitHub details how agentic CI workflows can silently burn tokens, and how proxy-level telemetry plus automated audits can cut spend materially. Key keywords: CI, LLM tokens, observability, MCP, Effective Tokens. Consumer agents inside social apps - Meta’s rumored “Hatch” agent points to assistants embedded directly in Instagram and Facebook, built for socially grounded discovery and commerce. Key keywords: Meta, Hatch, autonomous agent, social graphs, waitlist. Interpreting hidden model intentions - Anthropic’s Natural Language Autoencoders translate internal activations into readable text, helping auditors spot hidden planning or evaluation awareness—while warning about cost and hallucinations. Key keywords: interpretability, NLAs, activations, auditing, alignment. Realti…