Siri, What Time Is It in London?
Every other service that tries to answer “What time is it in London?” gets it right. Only Siri gets it wrong.
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The most popular blog posts about ai & machine learning on Hacker News. 3,090 posts.
Every other service that tries to answer “What time is it in London?” gets it right. Only Siri gets it wrong.
We are all having to keep revising upwards our assessments of the mathematical capabilities of large language models. I have just made a fairly large revision as a result of ChatGPT 5.5 Pro, to whi…
How does it feel to be turned into an AI image model? To find out, I opened a door to the multiverse and interviewed the creator and unwilling subject of a controversial DreamBooth model.
For me, writing is the most direct window into how someone thinks, perceives, and groks the world. Once you outsource that to an LLM, I'm not sure what we're even doing here. Why should I bother to read something someone else couldn't be bothered to write?
I signed up for Hinge. Holy shit with the boosts.
At first I thought it was from a reader.
Making web crawlers eat shit since 2023
Meta fixed the bug that let anyone trick its Meta AI chatbot into resetting the password on Instagram accounts that didn't have two-factor authentication.
I compiled a RISC-V CPU into Qwen 3.5 4B's weights, using its Gated DeltaNet layers as RAM. It runs C and MicroPython inside the forward passes, and Qwen uses it for exact arithmetic.
This post is an elaboration on a comment I made on Hacker News recently, on a blog post that showed an increase in volume and decline in quality among the “Show HN” submissons. I don't actually mind AI-aided development, a tool is a tool and should be used if you find it useful, but I think the vibe coded Show HN…
The thing I’m most excited about in our weird new AI-enhanced reality is the way it allows me to be more ambitious with my projects. As an experienced developer, ChatGPT …
...or how to make Qwen learn query optimization via agentic reinforcement learning
Direct link to a PDF on Anthropic's CDN because they don't appear to have a landing page anywhere for this document. Anthropic's system cards are always worth a look, and …
OpenAI released two major new preview models today: o1-preview and o1-mini (that mini one is not a preview)—previously rumored as having the codename “strawberry”. There’s a lot to understand about …
I’ve had my days with Siri and Google Assistant. While they have the ability to control your devices, they cannot be customized and inherently rely on cloud services. In hopes of learning something new and having something cool I could use in my life, I decided I want better. The premises are simple: I want my new…
A personal guide on using AI Code Prep GUI, Cline, and various free AI web interfaces like Gemini, Grok, Deepseek, and Poe for cost-effective coding and debugging.
Are they good or bad?
Andreessen-Horowitz has always been the most levelheaded of the major current year VC firms. While other firms were levering up on “cleantech” and nonsensical biotech startups that viol…
GLM 5.2 is the first open weights model I'd call a genuine competitor to Opus and GPT for agentic work - at ~15-20% of the price. Part one of why AI inference margins are about to collapse.
xAI is renting huge amounts of GPU capacity to Anthropic and Google. Financial engineering ahead of the SpaceX IPO, a real compute shortage, or a genuine datacentre advantage? Probably all three.
DuckDuckGo and Bing are not true alternatives – they’re just worse versions of Google.
Agents made implementation cheap, so I started doing far more of it in parallel. My GitHub history since 2019 shows what that did: as VP of Technology I am back at my full-stack engineer pace, with bursts, burnout and a low season that is no longer low.
Pi now supports MCP. Why we changed our minds, what changed in MCP and in Pi, and what Codemode is.
A vibe coding thought exercise on what it might look like for LLMs to scour human historical data at scale and in retrospect.
I generated 1,000+ SVGs across 7 frontier models to test whether AI labs are training on Simon Willison’s pelican-riding-a-bicycle benchmark.
If you ever watch someone “coding”, you might see them spending far more time staring into space than typing on their keyboard.