Statement on AI Risk
A statement jointly signed by a historic coalition of experts: “Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war.”
The latest blog posts to take off on Hacker News. 789 posts.
A statement jointly signed by a historic coalition of experts: “Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war.”
The relationship between humans and machines. Click to read Methexis, by Kevin Fischer, a Substack publication.
The myth A few years ago I saw a StackOverflow question (but I cannot find it now): allegedly Andrew Gelman blogged that Bayesian models would not overfit and would only underfit (I also cannot find Andrew’s blog post now but I think what he meant by “Bayesian models only underfits” is that you can never fully model…
Legal Twitter is having tremendous fun right now reviewing the latest documents from the case Mata v. Avianca, Inc. (1:22-cv-01461). Here’s a neat summary: So, wait. They file a brief …
In this post, Phillip talks through the challenges & pitfalls of LLMs we faced when building our Query Assistant - and that you too may face.
Alan Turing, the pioneering Computer Scientist and World War II codebreaker, has a statue in Sackville Gardens in Manchester. On 23rd June each year, we surround it with flowers in his memory for his birthday.
Just 14% of all U.S. adults say they have used ChatGPT for entertainment, to learn something new, or for their work.
In this update, we are excited to welcome the following models joining the Chatbot Arena:
One piece of slang that has long embodied the short attention span Internet age is TL;DR, short for “too long; didn’t read.” With the explosion of generative AI tools, we’re rapidly entering the age of TL;DW: “too long, didn’t write.” A January survey from Fishbowl found that 40% of nearly 12,000 workers have used…
Supabase recently contributed to the OpenAI Retrieval Plugin repo with a Postgres and a Supabase implementation to help developers build ChatGPT plugins using pgvector.
A curated list of resources we’ve relied on to get smarter about modern AI, including generative AI, LLMs, and transformer models.
Lately, I've been playing around with LLMs to write code.
From the PyTorch Lightning creators. Own your AI, don't rent it. Lightning is the AI cloud to build, train, and deploy your own models on 36,000+ NVIDIA GPUs.
Here we go again. I started another company. The money is in the bank.
Snowflake is acquiring Neeva, a search company founded to make search even more intelligent at scale by leveraging generative AI and other innovations.
A few months ago, I shared the article, Understanding Large Language Models: A Cross-Section of the Most Relevant Literature To Get Up to Speed, and the positive feedback was very motivating!
Let's talk about ChatGPT with Code Interpreter & Microsoft Copilot
The team and I are pumped to be back at Build with the developer community this year. Over the last year, Windows has continued to see incredible growth fueled by Windows 11 adoption. In fact, one of the mo
The rise of powerful AI dialogue systems in recent months has precipitated debates about AI risks of all kinds, which hopefully will yield an acceleration of governance and regulatory frameworks.
Detailed comparison table of cloud GPU providers for deep learning.
In another thrilling adventure with ChatGPT, I endeavored to integrate it with a Raspberry Pi, effectively turning it into my own personal light switch. My custom ChatGPT plugin, sporting just two ...
TL;DR I’ve been working on a WebGPU optimized inference and autograd library called webgpu-torch with an API that matches PyTorch. The goal is to run neural networks in the browser at speeds comparable to a Linux workstation. Many kernels have been implemented and its design is easily extensible. It’s available on NPM…
The handbook to the LangChain library for building applications around generative AI and large language models (LLMs).
In 2020, we initiated the Meta Training and Inference Accelerator (MTIA) family of chips to support our evolving AI workloads, starting with an inference accelerator ASIC for deep learning recommendation models (DLRMs).
I’ve been building out a small suite of command-line tools for working with ChatGPT, GPT-4 and potentially other language models in the future. The three tools I’ve built so far …
The ChatGPT app syncs your conversations, supports voice input, and brings our latest model improvements to your fingertips.
The UK’s flagship institute for artificial intelligence, the Alan Turing Institute, has been at best irrelevant to the development of modern AI in the UK.