Everyone knows your location, Part 2: try it yourself and share the results
Learn how to record and analyse your mobile device traffic, take an app from the list of "shady" apps and share the results.
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 80,900 posts.
Learn how to record and analyse your mobile device traffic, take an app from the list of "shady" apps and share the results.
Better ListView by Component Owl is a .NET WinForms control designed to replace the standard list view control included with C#/VB.net.
Rust + Ruby, Without The Glue. This post is a write-up of the talk I gave at RailsConf 2016. You can find the slides [https://speakerdeck.com/chancancode/turbo-rails-with-rust] here. -------------------------------------------------------------------------------- There's a lot to love about Ruby – the sweet syntax…
A visual, interactive introduction to hash functions.
There are two claims I’d like to make: LLMs can be used effectively1 for listwise document ranking. Some complex problems can (surprisingly) be solved by transforming them into document ranking problems. I’ve primarily explored both of these claims in the context of using patch diffing to locate N-day…
Fearless SIMD v1.0 is here
FLUX 3 is running robots. Built with mimic and deployed at Audi, FLUX-mimic shows content creation and physical AI share one foundation: a model that understands the world.
Feb 2015: A lot’s happened since I wrote this post two years ago. Chrome forked WebKit and started Blink, Opera adopted Chromium, and node-webkit became nw.js. This post describes a complexity of defining WebKit that doesn’t exist much anymore; with Chrome’s departure the WebKit world is more simple and clear.
The graph, the viewer, and the verification tooling all live in the WeakC4 repository on GitHub .
Well that blew up. It was supposed to be just a silly off-the-cuff comment about how some bugs are very tedious to bisect. To answer a few questions people had, here’s what actually happened.…
Today, I'm going to explain in plain English the top 10 most influential data mining algorithms as voted on by 3 separate panels in this survey paper. Once you know what they are, how they work, what they do and where you ... Read More
The cult-like battles between e/acc and doomers
Apple today introduced the new iPad mini, supercharged by the A17 Pro chip and Apple Intelligence.
How Companies Use Drip Pricing to Overcharge Consumers
We cut PR wait time and running costs by rethinking CI as a system, from the infrastructure underneath it to how work gets scheduled and tests get parallelized.
This is part one of the Crossover Project. Part two is here and part three is here. A conference talk based on this work is now available here. I sat in front of Mat, idly chatting about tech and cuisine. Before now, I had known him mostly for his cooking pictures on Twitter, the kind that made me envious of…
Someone on Reddit recently asked: What would make a Rust implementation of something faster than a C implementation, all things being the same? I think this is…
Surprising sound let down by serious comfort problems
143 vs 36 minutes is far too big difference
My housemate the other day asked me something to the effect of “How can Software Engineers call themselves engineers when there’s no rules, governing bodies, or anything to stipulate what true Software Engineering is?”
Apple badly needs to update the Mac lineup both now, and more consistently in the future.
When OpenAI released the first version of Sora, I was excited. For years, I'd had this short story sitting on my hard drive, something I'd written long ago and always dreamed of bringing to life as a
The rise and fall of yogh
Bronze/Starter is being phased out and current customers have over a year to transition.
Dropbox added some new AI features. In the past couple of days these have attracted a firestorm of criticism. Benj Edwards rounds it up in Dropbox spooks users with new …
AI coding tools deliver immense value: at Databricks, agentic coding has measurably improved every velocity metric we track and, in some teams, driven an order-of-magnitude gains in output. But nearly every company deploying AI tools at scale has hit the same wall: exponentially growing costs.