Build Agents That Never Forget
A first-principles walk through agent memory (open-source).
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Steve Yegge
Steve Yegge
Steve Yegge: I was chatting with my buddy at Google, who's been a tech director there for about 20 years, about their AI adoption. Craziest convo I've had all year. The TL;DR is that Google engineering appears to have the same AI adoption footprint as John Deere, the tractor company. Most of the industry has the same internal adoption curve: 20% agentic power users, 20% outright refusers, 60% still using Cursor or equivalent chat tool. It turns out Google has this curve too. [...] There has…
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Political Violence Is Never Acceptable
Nor is the threat or implication of violence.
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Exploring the new `servo` crate
Exploring the new `servo` crate
Research: Exploring the new `servo` crate In Servo is now available on crates.io the Servo team announced the initial release of the servo crate, which packages their browser engine as an embeddable library. I set Claude Code for web the task of figuring out what it can do, building a CLI tool for taking screenshots using it and working out if it could be compiled to WebAssembly. The servo-shot Rust tool it built works pretty well: git clone https://github.com/simonw/research cd…
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Comprehension Debt: The Hidden Cost of AI-Generated Code
The following article originally appeared on Addy Osmani’s blog site and is being reposted here with the author’s permission. Comprehension debt is the hidden cost to human intelligence and memory resulting from excessive reliance on AI and automation. For engineers, it applies most to agentic engineering. There’s a cost that doesn’t show up in your […]
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Import AI 453: Breaking AI agents; MirrorCode; and ten views on gradual disempowerment
Was fire equivalent to a singularity for people at the time?
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Quoting Bryan Cantrill
Quoting Bryan Cantrill
The problem is that LLMs inherently lack the virtue of laziness. Work costs nothing to an LLM. LLMs do not feel a need to optimize for their own (or anyone's) future time, and will happily dump more and more onto a layercake of garbage. Left unchecked, LLMs will make systems larger, not better — appealing to perverse vanity metrics, perhaps, but at the cost of everything that matters. As such, LLMs highlight how essential our human laziness is: our finite time forces us to develop crisp…
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Gemma 4 audio with MLX
Gemma 4 audio with MLX
Thanks to a tip from Rahim Nathwani, here's a uv run recipe for transcribing an audio file on macOS using the 10.28 GB Gemma 4 E2B model with MLX and mlx-vlm: uv run --python 3.13 --with mlx_vlm --with torchvision --with gradio \ mlx_vlm.generate \ --model google/gemma-4-e2b-it \ --audio file.wav \ --prompt "Transcribe this audio" \ --max-tokens 500 \ --temperature 1.0 Your browser does not support the audio element. I tried it on this 14 second .wav file and it output the following: This front…
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Even more good news for the future of neurosymbolic AI
And vindication for Apple’s unfairly maligned 2025 reasoning paper
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SQLite 3.53.0
SQLite 3.53.0
SQLite 3.53.0 SQLite 3.52.0 was withdrawn so this is a pretty big release with a whole lot of accumulated user-facing and internal improvements. Some that stood out to me: ALTER TABLE can now add and remove NOT NULL and CHECK constraints - I've previously used my own sqlite-utils transform() method for this. New json_array_insert() function and its jsonb equivalent. Significant improvements to CLI mode, including result formatting. The result formatting improvements come from a new library, the…
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SQLite Query Result Formatter Demo
SQLite Query Result Formatter Demo
Tool: SQLite Query Result Formatter Demo See my notes on SQLite 3.53.0. This playground provides a UI for trying out the various rendering options for SQL result tables from the new Query Result Formatter library, compiled to WebAssembly. Tags: tools, sqlite
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Advisor Strategy in Agents
Reduce token costs and improve performance...and how to use it with Claude!
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