digitado

Release: datasette 1.0a32 A minor bugfix release. Fixes a bug with INSERT … RETURNING queries via the new /db/-/execute-write endpoint and a bunch of base_url issues which showed up when I was experimenting with Service Workers yesterday. Tags: datasette, annotated-release-notes

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In this tutorial, we build a governed AI-agent workflow using Microsoft’s Agent Governance Toolkit as the reference point. We create a Colab-ready implementation where agents do not directly execute tools; instead, every action first passes through a governance layer that checks the agent’s identity, trust score, risk tier, requested tool, action type, sensitivity level, and policy rules. We define a YAML-based policy that controls destructive database operations, external email sending, shell execution, access to sensitive data, and financial […]

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I have about 10 years of experience in RL, though I haven’t been active in the field for the past 2 years. Recently, I’ve been thinking about getting back into robotics, and your post caught my attention. I’m looking to get my hands dirty again, specifically with VLA. My goal is to pick a problem, replicate something that already works end-to-end, and document it well. Here’s roughly what I want to do: – Pick a task (preferably simulation) […]

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so I heard that recroom a popular VR game is shutting down would it be possible to for example record data from in-game states (screenshots fps) and the orientation and velocity of the vr headset. and using the data train a world model?. I know that it would be very hard I am just wondering if it could be positive. submitted by /u/tryfonas_1_ [link] [comments]

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The solution might be cancelling my AI subscription I find this post by David Wilson very relatable. David lists 16+ projects he’s spun up with AI tooling, and concludes: I didn’t mean to build most of these things. Usually the Claude session started with something like “write a quick script for X“, and one hour later the result is not a quick script for X, nor in the usual case is my problem solved, whatever the original itch […]

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CogniCore RL framework where agents remember failures, reviewer agents made things worse, and memory compounds over timeI’ve spent the past few weeks building CogniCore, an open source RL framework with persistent memory, reflection, and structured rewards built into every environment.The core idea: memory lives in the environment, not the agent. Any agent Q-Learning, SARSA, LLM, rule-based gets memory of past failures automatically. Zero changes to the agent. The finding that surprised me most I ran ablation studies comparing […]

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