Posted a new blog post, from the speaker notes of my conference talk at Scala Days madrid: So, What's So Special About The Mill #Scala Build Tool? lihaoyi.com/post/SoWhatsSo…

My interview about the classes I give at this years CppCon is now available at youtu.be/HhwUAJ3gQH4?si…

C++23: Ranges Improvements and std::generator C++20 does not provide concrete coroutines, but C++20 provides a framework for implementing coroutines. This changes with C++23. std::generator is the first concrete coroutine. modernescpp.com/index.php/c23-… #cpp #cplusplus #cpp23

I have said in the past that AI systems will eventually become the repository of human knowledge and that the only realistic way for such a thing to exist is through crowd-sourced training of an open-source base system. This paper proposes an architecture.

We got fascinating results in this work! * we reverse engineer the training set for Copilot/Codex * we show that data deduplication can sometimes hurt privacy * we reveal the tokenizer of black-box LLMs * we reveal other users' test inputs when adv ex defenses are used

I ran some scripts on the package index on Hackage and found some interesting stats. I was going to make a blog post but am not so interested in the backlash so I'll just post them here instead.

Book of the Day: Introduction to Programming with C++ for Engineers by Bogusław Cyganek meetingcpp.com/mcpp/books/boo… #cplusplus #cpp

New Node.js v18 (LTS) is now available 💚 See the full list of changes in v18.18.0 in our blog post: hubs.la/Q022Dns-0

Why Can a Unique Index Store the Same Value Twice? If your unique index includes nullable columns, its behavior to enforce uniqueness may not be what you expect it to do. 👇 Learn More

Very interesting paper: using generative AI to produce text or images emits 3 to 4 orders of magnitude *less* CO2 than doing it manually or with the help of a computer. arxiv.org/abs/2303.06219

Happy to share our #ICCV2023 paper on 3D reconstruction from a single image! In Zero-1-to-3, we teach diffusion models to control the camera viewpoint, which enables novel view synthesis applications. Website: zero123.cs.columbia.edu Paper: arxiv.org/abs/2303.11328 🧵(1/n)

I am hiring a Research Scientist for the Google Bard Extensions team in the Bay Area (MTV office). If you are interested in building the next generation of AI agents, please DM or reach out at [email protected].

This paper seems very interesting: say you train an LLM to play chess using only transcripts of games of players up to 1000 elo. Is it possible that the model plays better than 1000 elo? (i.e. "transcends" the training data performance?). It seems you get something from nothing,

LLM agents have demonstrated promise in their ability to automate computer tasks, but face challenges with multi-step reasoning and planning. Towards addressing this, we propose an inference-time tree search algorithm for LLM agents to explicitly perform exploration and

Something that puzzles me about the conformal prediction literature: It is very focused on getting O(1/n) coverage bounds -in expectation- over the calibration set, rather than O(1/sqrt{n}) coverage bounds -conditional on- it. But in what applications is this the right guarantee?

Is your Vision-Language Model really helpful at all times? Can we instruct them to interact with users during conversations to avoid hallucinations or biased responses? 🍰Take some bites of PIE and MACAROON! We present a benchmark to evaluate LVLMs’ proactive engagement

On my way to London after an unforgettable week at #CVPR2024. It was my first in-person CVPR and I loved every moment of it. A big thank you to everyone who came to my talk/poster!

A ton of AI and Robotics developments this week. Big announcements from Microsoft, Anthropic, Wayve, Cover, OpenAI, Meta, Google DeepMind, Runway, Hedra, ElevenLabs, and Unitree. Here's everything that happened and how to make sense out of it:

It appears that you might be able to detect 'hallucinations' in large language models. nature.com/articles/s4158…