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AI makes the easy part easier and the hard part harder
AI handles writing code but leaves the hard work: investigation, context, validation. Why vibe coding has limits and AI assistance can backfire.
Top posts
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 3,090 posts.
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Comprehension debt: A ticking time bomb of LLM-generated code
Psst. If your boss won’t invest in training you in Specification By Example (BDD, ATDD), I’m running out-of-hours workshops on May 12 and 16 specifically for self-funding learners. £99 + UK VAT. An…
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Grokking Deep Learning
A machine learning craftsmanship blog.
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Apple’s new Transformer-powered predictive text model
I found some details about Apple’s new predictive text model, coming soon in iOS 17 and macOS Sonoma.
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Are we offloading too much of our thinking to AI?
Reflections on autonomy and the value of thinking for ourselves
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Nobody knows how to build with AI yet
The future of software development might just be jazz. Everyone improvising. Nobody following the sheet music.
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Markov chains are funnier than LLMs
Predictability machines and personality
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OK, I can partly explain the LLM chess weirdness now
(“make LLMs play better with one weird trick”)
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They stole my voice with AI
UPDATE 9/23: The CEO of Elecrow responded. I've posted a follow-up blog post with my reaction to the response and some other thoughts on AI voice cloning. Listen to this clip: Your browser does not support the video tag. I don't know about you, but that sounds pretty familiar. I mean I would like you to subscribe to…
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I'm becoming AI-blind
Recently I've been catching myself having these little moments at work, when I'm trying to read a document someone has sent me and my brain somehow refuses to analyze it. It feels like I'm reading it, but I'm unable to focus on its content. I sat down to analyze these situations and realized they all have a common…
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Eigenvectors and eigenvalues explained visually
Eigenvalues/vectors are instrumental to understanding electrical circuits, mechanical systems, ecology and even Google's PageRank algorithm. Let's see if visualization can make these ideas more intuitive.
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My LLM codegen workflow
A detailed walkthrough of my current workflow for using LLms to build software, from brainstorming through planning and execution.
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The unequal treatment of demographic groups by ChatGPT/OpenAI content moderation
Should AI systems treat different demographic groups unequally?
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GPT-6 Astra, looped transformers, and hidden reasoning
A Look at Recurrent Depth, Hidden Chains of Thought, and Recent Research on Looping Transformer Blocks
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Machine Learning Exercises in Python, Part 1
KOITOTO LOGIN menghadirkan akses cepat, aman, dan praktis untuk pengalaman hiburan online modern dengan navigasi responsif, performa stabil, serta kenyamanan maksimal setiap waktu.
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Three sites made 215,128 “best software” pages for AI. Perplexity cites them
Across 380 software categories, 59.8% of the sources behind grounded AI recommendations sit outside the 100,000 most-visited websites, and several of the most-cited are sites built to be read by models rather than by people.
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OpenClaw is what Apple intelligence should have been
Something strange is happening with Mac Minis. They’re selling out everywhere, and it’s not because people suddenly need more coffee table computers. If you browse Reddit or HN, you’ll see the same pattern: people are buying Mac Minis specifically to run AI agents with computer use. They’re setting up headless…
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AI is killing B2B SaaS
SaaS is the most profitable business model on Earth.1 It’s easy to understand why: build once, sell the same thing again ad infinitum, and don’t suffer any marginal costs on more sales. I have been writing software for more than half my life. In the last year itself, I’ve talked to hundreds of founders and operators…
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Everything wrong with MCP
Explaining the Model Context Protocol and everything that might go wrong.
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RAG Is Simpler Than You Think
Six approaches to retrieval-based AI, from minimal to elaborate
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Are OpenAI and Anthropic losing money on inference?
Deconstructing the real costs of running AI inference at scale. My napkin math suggests the economics might be far more profitable than commonly claimed.
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Local, CPU-Friendly, High-Quality TTS (Text-to-Speech) with Kokoro
Just a few years ago, realistic local speech generation seemed unimaginable. Today, its quality is exceptional and, crucially, it delivers these results without compromising privacy.
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Llama from scratch, or how to implement a paper without crying
Llama from scratch I want to provide some tips from my experience implementing a paper. I'm going to cover my tips so far from implementing a dramatically...
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Not everyone is using AI for everything
People are consuming AI like they eat meat: some are embracing it, some are limiting their use of it, and some are avoiding it altogether.
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An LLM is a lossy encyclopedia
Since I love collecting questionable analogies for LLMs, here's a new one I just came up with: an LLM is a lossy encyclopedia. They have a huge array of facts …
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Lessons after a Half-billion GPT Tokens
[custom_views_and_hn_comments hn_id=”40015185″] My startup Truss (gettruss.io) released a few LLM-heavy features in the last six months, and the narrative around LLMs that I read on Hacker News is now starting to diverge from my reality, so I thought I’d share some of the more “surprising” lessons after churning…
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The end of Microsoft Research's AI Frontiers group
In 2023 after the ChatGPT release, it was clear to me that research needed to be more organized to succeed than was typical within Microsoft Research . The amount of support and focus which other research groups were applying was great enough that even with a clever idea pursued by one person it was likely to arrive…