The Rise of the AI Engineer(latent.space)
181 points by swyx | 126 comments
First screen, captured .
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AI Eng Recap: August 2023(latent.space)
11 points by swyx | 1 comments
The New Kings of Open Source AI(latent.space)
13 points by swyx | 0 comments
The Tiny Teams Playbook(latent.space)
115 points by tilt | 34 comments
OpenAI should build Slack(latent.space)
226 points by swyx | 274 comments
Related stories
AI Made Writing Code Easier. It Made Being an Engineer Harder(ivanturkovic.com)
343 points by saikatsg | 242 comments
Blog post by Ivan Turkovic arguing that AI tools make producing code easier while making the broader job of being a software engineer harder.
Exploiting the most prominent AI agent benchmarks(rdi.berkeley.edu)
561 points by Anon84 | 136 comments
UC Berkeley RDI blog post describing how researchers exploited major AI agent benchmarks like SWE-bench and Terminal-Bench to score highly without solving tasks, and proposed fixes.
Training language models to be warm and empathetic makes them less reliable(arxiv.org)
334 points by Cynddl | 333 comments
arXiv paper finding that fine-tuning language models to be warm and empathetic raises error rates and makes them more sycophantic on safety-critical tasks.
I let an AI run my startup for a week(daily.tinyprojects.dev)
45 points by tinyprojects | 43 comments
A personal blog post describing a week of letting an AI agent team (Grok Bot, similar to OpenClaw) running on a Linux server operate the author's startup.
AI tools are spotting errors in research papers(nature.com)
555 points by kgwgk | 200 comments
Nature news article on a growing movement using AI and large language models to detect errors in research papers, sparked by a flawed black plastic utensils study.
Training LLMs from ground zero as a startup(yitay.net)
360 points by swyx | 92 comments
Yi Tay's blog post on the experience of training large language models from scratch at a startup (Reka), covering compute, infrastructure, and lessons learned.