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AI & Machine Learning

The most popular blog posts about ai & machine learning on Hacker News. 6,325 posts.

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2522

Self-Crashing Cars

This article is geared towards people with a STEM background. For something shorter try this article in The Weekly Standard. Também disponível em português aqui . 💃🏽

2526

How Claude Code works in large codebases

The most successful Claude Code deployments share a set of recognizable patterns across configurations, tooling, and org structure. This article is part of Claude Code at scale, a new series covering best practices for engineering organizations building with Claude Code at enterprise scale.

2532

Why Love Generative Art?

Over the last 50 years, our world has turned digital at breakneck speed. No art form has captured this transitional time period - our time period - better than generative art. Generative art takes full advantage of everything that computing has to offer, producing elegant and compelling artworks tha

2533

Mercury 2.5

Mercury 2.5 is the most capable diffusion LLM on the market. It runs at 1,107 tokens/sec and offers a 40% increase in intelligence over Mercury 2, comparable to cost-optimized frontier models.

2536

GPTs and Feeling Left Behind

Every time that I read some blog post about “coding with AI”, or how cool new models write entire libraries by themselves, I feel like I’m lagging behind, like I’m missing out on some big, useful tool, and my skills are about to become obsolete very soon.

2538

Measuring AI Ability to Complete Long Tasks

We propose measuring AI performance in terms of the length of tasks AI agents can complete. We show that this metric has been consistently exponentially increasing over the past 6 years, with a doubling time of around 7 months. Extrapolating this trend predicts that, in under a decade, we will see AI agents that can…

2544

Unreal Agent

We’re sharing Unreal Agent — an agent harness that delivers up to 40% cost savings compared to Codex on production workloads and coding/science benchmarks, without any negative performance impact.