Release: datasette-files-s3 0.1a1 A backend for datasette-files that adds the ability to store and retrieve files using an S3 bucket. This release added a mechanism for fetching S3 configuration periodically from a URL, which means we can use time limited IAM credentials that are restricted to a prefix within a bucket. Tags: s3, datasette
Thoughts on slowing the fuck down Mario Zechner created the Pi agent framework used by OpenClaw, giving considerable credibility to his opinions on current trends in agentic engineering. He's not impressed: We have basically given up all discipline and agency for a sort of addiction, where your highest goal is to produce the largest amount of code in the shortest amount of time. Consequences be damned. Agents and humans both make mistakes, but agent mistakes accumulate much faster: A human is a…
Release: datasette-llm 0.1a1 New release of the base plugin that makes models from LLM available for use by other Datasette plugins such as datasette-enrichments-llm. New register_llm_purposes() plugin hook and get_purposes() function for retrieving registered purpose strings. #1 One of the responsibilities of this plugin is to configure which models are used for which purposes, so you can say in one place "data enrichment uses GPT-5.4-nano but SQL query assistance happens using Sonnet 4.6",…
LiteLLM Hack: Were You One of the 47,000? Daniel Hnyk used the BigQuery PyPI dataset to determine how many downloads there were of the exploited LiteLLM packages during the 46 minute period they were live on PyPI. The answer was 46,996 across the two compromised release versions (1.82.7 and 1.82.8). They also identified 2,337 packages that depended on LiteLLM - 88% of which did not pin versions in a way that would have avoided the exploited version. Via @hnykda Tags: packaging, pypi, python,…
Auto mode for Claude Code Really interesting new development in Claude Code today as an alternative to --dangerously-skip-permissions: Today, we're introducing auto mode, a new permissions mode in Claude Code where Claude makes permission decisions on your behalf, with safeguards monitoring actions before they run. Those safeguards appear to be implemented using Claude Sonnet 4.6, as described in the documentation: Before each action runs, a separate classifier model reviews the conversation…
Package Managers Need to Cool Down Today's LiteLLM supply chain attack inspired me to revisit the idea of dependency cooldowns, the practice of only installing updated dependencies once they've been out in the wild for a few days to give the community a chance to spot if they've been subverted in some way. This recent piece (March 4th) piece by Andrew Nesbitt reviews the current state of dependency cooldown mechanisms across different packaging tools. It's surprisingly well supported! There's…
I really think "give AI total control of my computer and therefore my entire life" is going to look so foolish in retrospect that everyone who went for this is going to look as dumb as Jimmy Fallon holding up a picture of his Bored Ape — Christopher Mims, Technology columnist at The Wall Street Journal Tags: ai, security
Malicious litellm_init.pth in litellm 1.82.8 — credential stealer The LiteLLM v1.82.8 package published to PyPI was compromised with a particularly nasty credential stealer hidden in base64 in a litellm_init.pth file, which means installing the package is enough to trigger it even without running import litellm. (1.82.7 had the exploit as well but it was in the proxy/proxy_server.py file so the package had to be imported for it to take effect.) This issue has a very detailed description of what…
I wrote about Dan Woods' experiments with streaming experts the other day, the trick where you run larger Mixture-of-Experts models on hardware that doesn't have enough RAM to fit the entire model by instead streaming the necessary expert weights from SSD for each token that you process. Five days ago Dan was running Qwen3.5-397B-A17B in 48GB of RAM. Today @seikixtc reported running the colossal Kimi K2.5 - a 1 trillion parameter model with 32B active weights at any one time, in 96GB of RAM on…
slop is something that takes more human effort to consume than it took to produce. When my coworker sends me raw Gemini output he’s not expressing his freedom to create, he’s disrespecting the value of my time — Neurotica, @schwarzgerat.bsky.social Tags: ai-ethics, slop, generative-ai, ai, llms
Release: datasette-files 0.1a2 The most interesting alpha of datasette-files yet, a new plugin which adds the ability to upload files directly into a Datasette instance. Here are the release notes in full: Columns are now configured using the new column_types system from Datasette 1.0a26. #8 New file_actions plugin hook, plus ability to import an uploaded CSV/TSV file to a table. #10 UI for uploading multiple files at once via the new documented JSON upload API. #11 Thumbnails are now generated…
I have been doing this for years, and the hardest parts of the job were never about typing out code. I have always struggled most with understanding systems, debugging things that made no sense, designing architectures that wouldn't collapse under heavy load, and making decisions that would save months of pain later. None of these problems can be solved LLMs. They can suggest code, help with boilerplate, sometimes can act as a sounding board. But they don't understand the system, they don't…
Last month I added a feature I call beats to this blog, pulling in some of my other content from external sources and including it on the homepage, search and various archive pages on the site. On any given day these frequently outnumber my regular posts. They were looking a little bit thin and were lacking any form of explanation beyond a link, so I've added the ability to annotate them with a "note" which now shows up as part of their display. Here's what that looks like for the content I…
Research: Starlette 1.0 skill See Experimenting with Starlette 1.0 with Claude skills. Tags: starlette
Starlette 1.0 is out! This is a really big deal. I think Starlette may be the Python framework with the most usage compared to its relatively low brand recognition because Starlette is the foundation of FastAPI, which has attracted a huge amount of buzz that seems to have overshadowed Starlette itself. Kim Christie started working on Starlette in 2018 and it quickly became my favorite out of the new breed of Python ASGI frameworks. The only reason I didn't use it as the basis for my own…