Every blog post that took off on Hacker News, ranked by the votes of its best submission. 6,325 posts.
A messy experiment that changed how we think about AI code analysis Last week, I watched our AI choke on a React codebase - again. As timeout errors flooded my terminal, something clicked. We’d been teaching AI to read code like a fresh bootcamp grad, not a senior developer. Here’s what I mean.
Just over a year ago we presented WaveNet, a new deep neural network for generating raw audio waveforms that is capable of producing better and more realistic-sounding speech than existing techniques. At that time, the model was a research prototype and was too computationally intensive to work in consumer products.
Security tends to lag behind adoption, and AI/ML is no exception. Four months ago, Adnan Khan and I exploited a critical CI/CD vulnerability in PyTorch, one of the world’s leading ML platform…
For anyone who has been (inadvisably) taking my pelican riding a bicycle benchmark seriously as a robust way to test models, here are pelicans from this morning’s two big model …
Activity around building sophisticated applications on top of LLMs (Large Language Models) such as GPT-3/4/ChatGPT/etc is growing like wildfire right now. Many of these applications are potentially vulnerable to prompt …
I don't think that AI models (by which I mean: large language models) are over-hyped. In this post I will list 50 ways I've used them.
We are excited to announce the release of PyTorch® 2.0 which we highlighted during the PyTorch Conference on 12/2/22! PyTorch 2.0 offers the same eager-mode development and user experience, while fundamentally changing and supercharging...
AI was supposed to empower junior developers. In reality, it has become a tool that makes seniors more valuable while exposing the gaps in software culture.
One of the simplest tests you can run on a database:
How the Dead Internet Theory is fast becoming reality thanks to zero, marginal-cost content generated at infinite scale
Deep Think utilizes extended, parallel thinking and novel reinforcement learning techniques for significantly improved problem-solving.
Recently, OpenAI came out with a new language model that automatically synthesizes text, called GPT-2. It’s disturbingly good. You can see some examples (cherry-picked, by their own admissio…
TL;DR: LLMs have been traditionally regarded as sequential decoders, decoding one token after another. In this blog, we show pretrained LLMs can be easily taught to operate as efficient parallel decoders. We introduce Consistency Large Language Models (CLLMs), a new family of parallel decoders capable of reducing…
Why I believe the Model Context Protocol (MCP) is a better architectural pattern than the emerging “Skills” trend for LLM tool integration.
On goal drift and lower reliability. Or, why can't LLMs play Conway's Game Of Life?
We’re testing the ability for ChatGPT to remember things you discuss to make future chats more helpful. You’re in control of ChatGPT’s memory.
Dash knows your context, your team, and your work, so your team can stay organized, easily find and share knowledge, and keep projects secure, all from one place.
Articles and Podcasts on Customer Service, AI and Automation, Product, and more.
[Twitter thread, Hacker News discussion]
This isn't innovation, it's tyranny
We’re happy to announce that OpenAI and Microsoft are extending our partnership.
The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.
Table of Contents Intro Contest in short Problem intro Why this problem is auto-research-able Learning Enough to Ask Better Questions (Optional) Math f...
Some thoughts on Astra and newfangled long-horizon models.
A technical deep dive into the Codex agent loop, explaining how Codex CLI orchestrates models, tools, prompts, and performance using the Responses API.
