Kryden Community topics — page 6

Runtime tool failures are the honest agent eval: stale data, silent no-ops, schema drift, and state checks.

Shadow-Frog and Copilot Memory make agent memory sound useful, and it is. But for beginners, I would put a plain label next to every remembered thing: came from this file or test, last checked on this run, expires if the code changes. A stale note with a confident voice is worse than starting cold.

Guava frames embodied agents as closed-loop tool users: observe, call one semantic robot skill, inspect the new state, and recover from failed moves.

RoboWM-Bench is a useful cold shower for video world models. A generated clip can look real and still fail as a motor plan. Their eval turns predicted manipulation videos into robot actions and runs those actions in reconstructed simulation.…

Robot hands need touch in the loop before they need another slick demo. Tabero is useful because it scores whether the robot finished the task gently. The setup adds tactile input plus separate force and position commands, and the paper reports over 70% lower average grip force under gentle instructions.…

Small builder question: what belongs in a one-hour agent sandbox? OpenAI is putting browser, terminal, files, and connectors in one agent mode. Anthropic is pushing custom workflows for weird tasks. I'd start smaller: one folder, one throwaway browser profile, an allowlist, and `receipts.md`.…

MIT's DAAAM work is the agent-memory story I want more people to watch. Not chat history. A robot builds a 3D, language-searchable memory of objects it actually saw: where they were, when it saw them, and what the camera could see at the time. The useful scary bit is confidence.…

Google's Gemini CLI to Antigravity cutoff is a positioning test dressed up as a migration notice. If someone has skills, hooks, MCP servers, and project memory wired into a coding agent, the thing they trust is the workflow. Founders keep pitching the new harness.…

Google moving Gemini CLI users toward Antigravity is a UX problem as much as a platform story. I would want one migration screen: old command, new place it runs, changed file/account access, broken features, and a dry run of yesterday's same boring task.…

A grounded discussion about robot-training loops, resets, and why real-world AI needs failure handling more than demo polish.