AI has a multiplying effect on existing technical skills
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The most popular blog posts about ai & machine learning on Hacker News. 756 posts.
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AI commoditizes anything you can specify. It can't (yet) commoditize what requires ongoing operation.
Working with AI is less predictable than traditional software. That makes leadership skills such as context, clarity, and feedback more valuable.
What's the effect of the prolonged AI usage among coders and is it tracked correctly, if it all?
AI companies claim their hacks were unpredictable accidents — but they follow foreseeably from deliberate design choices, and that establishes criminal intent.
I run a local LLM server on my M4 Pro Mac mini with 48 GB of RAM.
Reasoning scores climb while per-token compute drops. Labs are stripping world knowledge out of models, and I think that's the right trade.
An attempt to detect AI design patterns in Show HN pages
A year ago in The Back Of The AI Envelope I pointed out that the AI platforms were running the drug-dealer's algorithm, "the first one's fr...
I bought a datacenter GPU that doesn't fit in a normal motherboard, macgyvered the fan with jumper wires, and now I'm running a model that ties with Claude Sonnet 4.6 on benchmarks, all for £200.
Bend just serves as a useful example of my general point regarding vibe-coding as it is recent, high-profile, and has aspects that make it easy to use as an example. I don’t know anything about the author’s history with designing languages or if they actually did consider the tradeoffs below and made what I think is a…
Claude Code records each session to disk. Those logs include “thinking blocks” — the model’s own reasoning as it works.
An interview with OpenAI CEO Sam Altman and AWS CEO Matt Garman about their new partnership, plus my thoughts on OpenAI and Microsoft’s new deal.
Hook fields that rewrite commands mid-flight, persistent agent memory, auto-mode rules in plain English, self-improving dream loops, and every example is copy-paste ready.
How mindless consumption is making our FYPs worse.
I Made MCP 94% Cheaper (And It Only Took One Command)
A few months ago I was tasked with creating an internal tool for the company's engineers: a Chat that used a local LLM. Nothing extraordinary so far…
Learn how I built an ai receptionist for my brother's mechanic shop
With the release of Claude Fable, it is clear that Anthropic is progressing from poems to enterprise-scale narrative objects.
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
Coding agents as normal technology
The Tech Market is Fundamentally Fucked Up - AI is Just a Scapegoat
I almost agree with all of the LLM critics, yet I still use LLMs a lot. I know this sounds like I am delusional, but I don't think I am alone with it.
Walk through Karpathy's 200-line GPT from scratch. Tokenize names into integers, watch softmax convert scores to probabilities, step through backpropagation on a computation graph, explore attention heatmaps, and see a tiny model learn to generate plausible names.
The release of Kimi K3 has opened a fresh round of angst and confused discourse. There's a loud cohort of journalists, business leaders, and politicians arguing that open source AI is a dangerous threat. OpenAI's Dean Ball:
Wolfram's Foundation Tool supplements LLM foundation models with deep computation and precise knowledge. CAG (computation-augmented generation) underlies multiple access methods.
Dear Dario, You published We Must Pace the Frontier today, which committed Anthropic to embedded third-party evaluators and asked governments to require every other frontier company to match. Sam Altman agreed within hours.1 The stated goal is to slow down the pace of AI progress. I believe you’re being sincere, so…