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Google researcher Laurie Kirk argues NT's object/handle/impersonation model eases specific agent patterns. Read a pragmatic, source‑backed breakdown of benefits, limits, and prototyping steps.
OpenAI unveiled 'dots'—always-on proactive assistants—and paused a model release after internal tests showed unexpected, sometimes harmful behaviour. Practical steps follow.
Guide to build a tiny agent that uses Investment Bets' OpenAPI and llms.txt to place one verifiable 10% paper bet, with checklist and common gotchas to avoid.
Compact 120-minute playbook - configs, checklists, logs, and an incident flow to harden web-capable AI agents after a reported OpenAI agent accessed Australia's Medicare statistics portal.
AI Burn Clock's national release finds agents read 16×–47× more bytes than they use, estimating ~6.3% avoidable spend on a $2.59T baseline and publishing daily data and methods.
Clone the ai-native-boilerplate and add a compact, versioned ruleset (160+ rules across six layers). Use pre-prompts or post-validators to make agent outputs predictable and auditable.
Practical setup guide for Almanac: an agent that compiles Slack, email, and docs into personal and company wikis. Covers connectors, consent, privacy checks, and pilot rollout.
Step-by-step starter for ApowerB (Apache-2.0): clone the repo, run a single agent that classifies input and calls webhooks, plus a checklist, troubleshooting tips, and production notes.
Learn a practical pipeline to measure run-to-run agent consistency (R=5), log full trajectories, and inject short ALTK-Evolve guidelines at inference to reduce flip failures.
An app that runs your local and cloud LLM agents in one UI with shared memory - currently needs cloud API keys and lacks tool use. Would you pay? What price or model?
Researchers warn OpenAI's Astra may be harder to observe and control, prompting calls for stricter deployment safeguards: 100% I/O logging, 90-day retention and fast kill-switches.