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AI & Machine Learning

The most popular blog posts about ai & machine learning on Hacker News. 6,306 posts.

Any year
275

Claude Code is all you need

I installed Claude Code in June. I'd tried Cursor and Cline and Zed and a few others, but all of them felt clunky to me because I'm used to doing nearly everything in vanilla vim and my terminal. Claude Code was the first tool I tried that felt like it fit into my workflows perfectly rather than needing me to adapt to…

279

The path to ubiquitous AI (17k tokens/sec)

By Ljubisa Bajic Many believe AI is the real deal. In narrow domains, it already surpasses human performance. Used well, it is an unprecedented amplifier of human ingenuity and productivity. Its widespread adoption is hindered by two key barriers: high latency and astronomical cost. Interactions with language models…

280

Getting a Gemini API key is an exercise in frustration

Last week, I started working on a new side-project. It’s a standard React app partly made up of run-of-the-mill CRUD views—a perfect fit for LLM-assisted programming. I reasoned that if I could get an LLM to quickly write the boring code for me, I’d have more time to focus on the interesting problems I wanted to solve.

284

AI slop is killing online communities

Like a young child coming home from kindergarten with their latest crayon scrawls, the internet is currently awash with people sharing their AI-generated work. And just like the young child’s drawings, much of that work should be proudly put up on the walls within the artist’s house—and no further.

295

Claude Skills

Claude can now use Skills to improve how it performs specific tasks. Skills are folders that include instructions, scripts, and resources that Claude can load when needed. Claude will only access a skill when it's relevant to the task at hand.

298

MuseNet

We’ve created MuseNet, a deep neural network that can generate 4-minute musical compositions with 10 different instruments, and can combine styles from country to Mozart to the Beatles. MuseNet was not explicitly programmed with our understanding of music, but instead discovered patterns of harmony, rhythm, and style…