I gave the AI arms and legs then it rejected me
How I helped Claude AI extend its capabilities only for the same AI to reject my job application.
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The most popular blog posts about ai & machine learning on Hacker News. 674 posts.
How I helped Claude AI extend its capabilities only for the same AI to reject my job application.
Or: The Day My Toaster Started Taking Phone Calls
A blog about making culture. Since 1999.
I'm calm. I'm calm. I promise.
There’s a lot of hype these days around patterns for building with AI. Agents, memory, RAG, assistants—so many buzzwords! But the reality is, you don’t need fancy techniques or libraries to build useful personal tools with LLMs.
I wanted to share my reflections because there's a lot of smoke and noise around what OpenAI is doing, but not a lot of first-hand accounts of what the culture of working there actually feels like .
78% of developers claim AI makes them more productive. 14% say it's a 10x improvement. So where's the flood of new software? Turns out those productivity claims are bullshit.
Ah, the tech industry.
I discovered a fun and strangely obvious trick for summarizing videos faster and reducing costs: just speed them up. Cheaper, faster OpenAI transcriptions with a little ffmpeg trick.
Anthropic this morning introduced Claude Skills, a new pattern for making new abilities available to their models: Claude can now use Skills to improve how it performs specific tasks. Skills …
If you ask the new Grok 4 for opinions on controversial questions, it will sometimes run a search to find out Elon Musk’s stance before providing you with an answer. …
Investigating the seahorse emoji doom loop using logitlens.
I signed up for Hinge. Holy shit with the boosts.
Making web crawlers eat shit since 2023
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 …
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.
A vibe coding thought exercise on what it might look like for LLMs to scour human historical data at scale and in retrospect.
If you ever watch someone “coding”, you might see them spending far more time staring into space than typing on their keyboard.
All the reasons why Nvidia will have a very hard time living up to the currently lofty expectations of the market.
I feel like vibe coding is pretty well established now as covering the fast, loose and irresponsible way of building software with AI—entirely prompt-driven, and with no attention paid to …
Together with some friends, I decided earlier this year to particpate in the Carbage run 2025 Winter edition. This is a 6-day journey in winter all the way through Sweden to the polar circle, and back down to Helsinki in a group of roughly 400 cars. One small catch (you might have guessed it from the name): your car…
I’ve had preview access to the new GPT-5 model family for the past two weeks (see related video and my disclosures) and have been using GPT-5 as my daily-driver. It’s …
AGI is a harmful and wasteful fantasy that runs counter to the principles of efficient and effective engineering.
"MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data…
Apple gave me access to this Mac Studio cluster to test RDMA over Thunderbolt, a new feature in macOS 26.2. The easiest way to test it is with Exo 1.0, an open source private AI clustering tool. RDMA lets the Macs all act like they have one giant pool of RAM, which speeds up things like massive AI models. The stack of…
A quick refresher on the maths behind LLMs: vectors, matrices, projections, embeddings, logits and softmax.
This is the second part of my ongoing self-education in how to adapt my programming experience to a world with computers that talk. The first part, How I program with LLMs , covered ways LLMs can be adapted into our existing tools (basically, autocomplete) and how careful prompting can replace traditional web search…
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