Your Agent Harness Should Repair Itself
...covered with an open-source solution.
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Announcing major new donations, and recapping the 2025 fundraiser
This past December, we ran our first fundraiser in six years, setting an ambitious goal of $6M. We ended up receiving a total of $1.8M from small donors and $1.6M in matching from the Survival and Flourishing Fund (SFF) for a total of $3.4M. We’re incredibly grateful for all this support! In the rest of […] The post Announcing major new donations, and recapping the 2025 fundraiser appeared first on Machine Intelligence Research Institute.
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Long-Running Agents
The following article originally appeared on Addy Osmani’s blog and is being reposted here with the author’s permission. A long-running AI agent can keep making progress over hours, days, or weeks. It can do this across many context windows and sandboxes, recover from failure, leave structured artifacts behind, and resume where it left off. For […]
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The AI Agents Stack (2026 Edition)
The following article originally appeared on Paolo Perrone’s The AI Engineer Substack and is being reposted here with the author’s permission. Your team picks LangGraph for a customer support chatbot. Three weeks in, you’ve got 14 nodes in a state graph, a custom checkpointer writing to Redis, and retry logic for tool calls that fail […]
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datasette-agent-edit 0.1a0
datasette-agent-edit 0.1a0
Release: datasette-agent-edit 0.1a0 I'm planning several plugins for Datasette Agent which can make edits to existing pieces of text - things like collaborative Markdown editing, updating large SQL queries, and editing SVG files. Agentic editing of text is a little tricky to get right. My favorite published design for this is for the Claude text editor, which implements the following tools: view - view sections of a file, with line numbers added to every line. str_replace - find an exact…
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REINFORCE and Actor-critic Methods in RL
The full RL nanodegree, covered with implementation.
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micropython-wasm 0.1a2
micropython-wasm 0.1a2
Release: micropython-wasm 0.1a2 I added a CLI to micropython-wasm (issue #7), inspired by the first draft of the blog entry when I realized it would be a great way to illustrate the Try it yourself section. Tags: python, sandboxing, webassembly, micropython
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Running Python code in a sandbox with MicroPython and WASM
I've been experimenting with different approaches to running code in a sandbox for several years now, but my latest attempt feels like it might finally have all of the characteristics I've been looking for. I've released it as an alpha package called micropython-wasm, and I'm using it for a code execution sandbox plugin for Datasette Agent called datasette-agent-micropython. Why do I want a sandbox? What I want from a sandbox WebAssembly looks really promising here MicroPython in WebAssembly…
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OpenAI Help: Lockdown Mode
OpenAI Help: Lockdown Mode
OpenAI Help: Lockdown Mode OpenAI first teased this in February, but now it's live and "rolling out to eligible personal accounts, including Free, Go, Plus, and Pro, and self-serve ChatGPT Business accounts": Lockdown Mode is designed to help prevent the final stage of data exfiltration from a prompt injection attack by limiting outbound network requests that could transfer sensitive data to an attacker. Lockdown Mode does not prevent prompt injections from appearing in the content ChatGPT…
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Finally, Hermes Agent's Desktop App is Here!
Full hands-on video walkthrough.
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This Week in AI: Production Viability
On this week’s episode, host and the founder of AI advisory firm Intelligence Briefing Andreas Welsch brought together Maya Mikhailov, cofounder and CEO of Savvi AI, and Doug Shannon, generative AI and intelligent automation leader, to cover a handful of interconnected topics that practitioners are navigating right now: OpenAI’s push into personal finance, the role […]
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Quoting Andreas Kling
Quoting Andreas Kling
We will no longer accept public pull requests. [...] A substantial patch used to imply substantial effort, and that effort was a reasonable proxy for good faith. That assumption no longer holds. [...] Whether code was typed by hand is beside the point. What matters is who is responsible for it once it enters the browser. Ladybird is becoming a browser for real users. The people introducing changes to it must be the people who decide those changes belong in the project, and who will answer for…
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I Let an AI Agent Run 40 Experiments While I Slept
I set up an AI agent on a rented GPU, pointed it at a training script, and went to bed. By morning it had run 40 experiments, improved validation loss by 5.9%, and cut memory usage from 44 GB to 17 GB. It also spent four hours chasing a bug that a linter introduced behind […]
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AI enthusiasts are in a race against time, AI skeptics are in a race against entropy
AI enthusiasts are in a race against time, AI skeptics are in a race against entropy
AI enthusiasts are in a race against time, AI skeptics are in a race against entropy Charity Majors neatly captures the dynamic between AI enthusiasts and AI skeptics, both of whom are trying to build great software, often in the same teams: The enthusiasts are not wrong. We are starting to see real, non-imaginary, discontinuous leaps in capabilities from teams that lean in hard to working with AI. And this does not feel like a normal technology cycle where you can wait for the dust to settle;…
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Researchers Found a Way to Make LLMs 8.5x Faster!
(without compromising accuracy)
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