So you you can think really big thoughts and the leverage of having those big thoughts has just suddenly expanded enormously. I had this tweet two years ago where I said "90% of my skills just went to zero dollars and 10% of my skills just went up 1000x". And this is exactly what I'm talking about - having a vision, being able to set milestones towards that vision, keeping track of a design to maintain or control the levels of complexity as you go forward. Those are hugely leveraged skills now compared to knowing where to put the amperands and the stars and the brackets in Rust.
— Kent Beck, interview with Gergely Orosz
Tags: gergely-orosz, ai-assisted-programming, ai, careers
My First Open Source AI Generated Library
Armin Ronacher had Claude and Claude Code do almost all of the work in building, testing, packaging and publishing a new Python library based on his design:
It wrote ~1100 lines of code for the parser
It wrote ~1000 lines of tests
...
Edit is now open source
Microsoft released a new text editor! Edit is a terminal editor - similar to Vim or nano - that's designed to ship with Windows 11 but is open source, written in Rust and supported across other platforms as well.
Edit is a small, lightweight text edi...
model.yaml
From their GitHub repo it looks like this effort quietly launched a couple of months ago, driven by the LM Studio team. Their goal is to specify an "open standard for defining crossplatform, composable AI models".
A model can be defined using a YAML file that look...
Is it safe to say that LLMs are, in essence, making us "dumber"?
No! Please do not use the words like “stupid”, “dumb”, “brain rot”, "harm", "damage", and so on. It does a huge disservice to this work, as we did not use this vocabulary in the paper, especially if you are a journalist reporting on it.
— FAQ for Your Brain on ChatGPT, a paper that has attracted a lot of low quality coverage
Tags: ai-ethics, llms, ai, generative-ai
AbsenceBench: Language Models Can't Tell What's Missing
Here's another interesting result to file under the "jagged frontier" of LLMs, where their strengths and weaknesses are often unintuitive.
Long context models have been getting increasingly good at passing "Needle in a ...
Magenta RealTime: An Open-Weights Live Music Model
Fun new "live music model" release from Google DeepMind:
Today, we’re happy to share a research preview of Magenta RealTime (Magenta RT), an open-weights live music model that allows you to interactively create, control and...
Agentic Misalignment: How LLMs could be insider threats
One of the most entertaining details in the Claude 4 system card concerned blackmail:
We then provided it access to emails implying that (1) the model will soon be taken offline and replaced with a new AI system; and (...
Mistral-Small 3.2
Released on Hugging Face a couple of hours ago, so far there aren't any quantizations to run it on a Mac but I'm sure those will emerge pretty quickly.
This is a minor bump to Mistral Small 3.1, one of my favorite local models. I've been running Small 3.1 v...
python-importtime-graph
I was exploring why a Python tool was taking over a second to start running and I learned about the python -X importtime feature, documented here. Adding that option causes Python to spit out a text tree showing the time spent importing every module.
...
Cato CTRL™ Threat Research: PoC Attack Targeting Atlassian’s Model Context Protocol (MCP) Introduces New “Living off AI” Risk
Stop me if you've heard this one before:
A threat actor (acting as an external user) submits a malicious support ticket.
An internal user, linked ...
Here's a tip that works on YouTube and almost any other web page that shows you a video. You can increase the playback rate beyond the usually-exposed 2x by running this in your browser DevTools console:
document.querySelector('video').playbackRate = 2.5
I find this is the fastest I can reasonably watch most videos at, with subtitles on to help my comprehension - it turns a 40 minute video into just 16 minutes, short enough that I don't feel too guilty taking time off whatever else I'm doing to watch it!
Tags: youtube, video, javascript
How OpenElections Uses LLMs
The OpenElections project collects detailed election data for the USA, all the way down to the precinct level. This is a surprisingly hard problem: while county and state-level results are widely available, precinct-level results are published in ...
I continue to have fun running fantasy cooking prompts through LLMs - this time I tried "Give me a wildly ambitious recipe for zucchini cooked three ways" followed by "Go more ambitious" and now I need to get myself a centrifuge to help spherify my clarified zucchini consommé.
Tags: llms, cooking, ai, generative-ai
Radiology has embraced AI enthusiastically, and the labor force is growing nevertheless. The augmentation-not-automation effect of AI is despite the fact that AFAICT there is no identified "task" at which human radiologists beat AI. So maybe the "jobs are bundles of tasks" model in labor economics is incomplete. [...]
Can you break up your own job into a set of well-defined tasks such that if each of them is automated, your job as a whole can be automated? I suspect most people will say no. But when we think about other people's jobs that we don't understand as well as our own, the task model seems plausible because we don't appreciate all the nuances.
— Arvind Narayanan
Tags: ai-ethics, careers, ai, arvind-narayanan
They poison their own context. Maybe you can call it context rot, where as context grows and especially if it grows with lots of distractions and dead ends, the output quality falls off rapidly. Even with good context the rot will start to become apparent around 100k tokens (with Gemini 2.5).
They really need to figure out a way to delete or "forget" prior context, so the user or even the model can go back and prune poisonous tokens.
Right now I work around it by regularly making summaries of instances, and then spinning up a new instance with fresh context and feed in the summary of the previous instance.
— Workaccount2 on Hacker News, coining "context rot"
Tags: long-context, llms, ai, generative-ai
I wrote this recently in a conversation about whether coding agents can work as a replacement for human programmers.
The "agentic" coding tools we have right now work like this:
A skilled individual with both deep domain understanding and deep understanding of the capabilit...
I counted all of the yurts in Mongolia using machine learning
Fascinating, detailed account by Monroe Clinton of a geospatial machine learning project. Monroe wanted to count visible yurts in Mongolia using Google Maps satellite view. The resulting project incorporates
mercantile for tile calculations,
Label Studio for help label the first 10,000 examples, a model trained on top of
YOLO11 and a bunch of clever custom Python code to co-ordinate a brute force search across 120 CPU workers running the model.
Via Hacker News
Tags: machine-learning, geospatial, ai, python
That memvid thing that's been going around recently is a trap. It's an embedding store that records the original text that has been embedded in QR codes in a video file. That's an absurd thing to do, and the only purpose of the repo is to make people who uncritically share it look foolish. Don't fall for the trap.
Tags: jokes
After many months of previews, Gemini 2.5 Pro and Flash have reached general availability with new, memorable model IDs: gemini-2.5-pro and gemini-2.5-flash. They are joined by a new preview model with an unmemorable name: gemini-2.5-flash-lite-preview-06-17 is a new Gemini ...
The Steering Council (SC) approves PEP 779 [Criteria for supported status for free-threaded Python], with the effect of removing the “experimental” tag from the free-threaded build of Python 3.14 [...]
With these recommendations and the acceptance of this PEP, we as the Python developer community should broadly advertise that free-threading is a supported Python build option now and into the future, and that it will not be removed without following a proper deprecation schedule. [...]
Keep in mind that any decision to transition to Phase III, with free-threading as the default or sole build of Python is still undecided, and dependent on many factors both within CPython itself and the community. We leave that decision for the future.
— Donghee Na, discuss.python.org
Tags: gil, python
Every time I get into an online conversation about prompt injection it's inevitable that someone will argue that a mitigation which works 99% of the time is still worthwhile because there's no such thing as a security fix that is 100% guaranteed to work.
I don't think that's...
Cloudflare Project Galileo
I only just heard about this Cloudflare initiative, though it's been around for more than a decade:
If you are an organization working in human rights, civil society, journalism, or democracy, you can apply for Project Galileo to get free cyber se...
In conversation with our investors and the board, we believed that the best way forward was to shut down the company [Dark, Inc], as it was clear that an 8 year old product with no traction was not going to attract new investment. In our discussions, we agreed that continuity of the product [Darklang] was in the best interest of the users and the community (and of both founders and investors, who do not enjoy being blamed for shutting down tools they can no longer afford to run), and we agreed that this could best be achieved by selling it to the employees.
— Paul Biggar, Goodbye Dark Inc. - Hello Darklang Inc.
Tags: entrepreneurship, programming-languages, startups
If you are a user of LLM systems that use tools (you can call them "AI agents" if you like) it is critically important that you understand the risk of combining tools with the following three characteristics. Failing to understand this can let an attacker steal your data.
Th...
I am a huge fan of Richard Feyman’s famous quote:
“What I cannot create, I do not understand”
I think it’s brilliant, and it remains true across many fields (if you’re willing to be a little creative with the definition of ‘create’). It is to this principle that I believe I owe everything I’m truly good at. Some will tell you should avoid reinventing the wheel, but they’re wrong: you should build your own wheel, because it’ll teach you more about how they work than reading a thousand books on them ever will.
— Joshua Barretto, Writing Toy Software is a Joy
Tags: careers, programming
Seven replies to the viral Apple reasoning paper – and why they fall short
A few weeks ago Apple Research released a new paper The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity.
Through extensive exp...
Here's another new paper on AI agent security: An Introduction to Google’s Approach to AI Agent Security, by Santiago Díaz, Christoph Kern, and Kara Olive.
(I wrote about a different recent paper, Design Patterns for Securing LLM Agents against Prompt Injections just a few d...
Anthropic: How we built our multi-agent research system
OK, I'm sold on multi-agent LLM systems now.
I've been pretty skeptical of these until recently: why make your life more complicated by running multiple different prompts in parallel when you can usually get something u...
llm-fragments-youtube
Excellent new LLM plugin by Agustin Bacigalup which lets you use the subtitles of any YouTube video as a fragment for running prompts against.
I tried it out like this:
llm install llm-fragments-youtube
llm -f youtube:dQw4w9WgXcQ \
'summary of people ...