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2026-10-01

Reimagining Chess with AlphaZero
AlphaZero tests rule-tweaked chess variants, finding more decisive play, diverse choices, and shifted piece values, making reimagined chess real.
Meta hires MongoDB CEO to lead AI enterprise platform
Meta has launched a new business unit,
'Things may get ugly': Meta's new AI Muse is about to make the internet more annoying
Someday we'll redesign the internet for tools like this. Until then, you're in for a wild ride.
FLUX 3 Image
Place every element on a canvas and edit a finished image one box at a time. Everything you didn’t touch stays exactly where it was.
OpenAI scraps rollout of new model over safety concerns
The firm also issued an update on incidents in which its models accessed Australian government systems.
The GPU Black Market That Washington Can't Shut Down
The U.S. banned AI chip exports. Billions still reached China — moved by shell companies, Southeast Asian middlemen, and operators gaming the system.
A court just ruled that training an AI on someone else's editorial work isn't fair use
Ross developed an AI-based legal research platform that allowed lawyers to submit legal questions and receive relevant passages from court opinions. To train the system, the company...
SMERF
SMERF: Streamable Memory Efficient Radiance Fields for Real-Time Large-Scene Exploration
Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots
We present Universal Manipulation Interface (UMI) -- a data collection and policy learning framework that allows direct skill transfer from in-the-wild human demonstrations to deployable robot policies. UMI employs hand-held grippers coupled with careful interface design to enable portable, low-cost, and information-rich data collection for challenging bimanual and dynamic manipulation demonstrations. To facilitate deployable policy learning, UMI incorporates a carefully designed policy interface with inference-time latency matching and a relative-trajectory action representation. The resulting learned policies are hardware-agnostic and deployable across multiple robot platforms. Equipped with these features, UMI framework unlocks new robot manipulation capabilities, allowing zero-shot generalizable dynamic, bimanual, precise, and long-horizon behaviors, by only changing the training data for each task. We demonstrate UMI’s versatility and efficacy with comprehensive real-world experiments, where policies learned via UMI zero-shot generalize to novel environments and objects when trained on diverse human demonstrations.
Claude and ChatGPT for ad-hoc sidequests
Here is a short, illustrative example of one of the ways in which I use Claude and ChatGPT on a daily basis. I recently learned that the Adirondack Park is …
SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion
SV3D generates novel multi-view synthesis from a single input image.
US tech leaders are urgently calling for rules on AI – China already has them
China has already implemented many rules governing the use of artificial intelligence.
Game theory as an engine for large-scale data analysis: EigenGame maps out a new approach to solve fundamental ML problems
Modern AI systems approach tasks like recognising objects in images and predicting the 3D structure of proteins as a diligent student would prepare for an exam. By training on many example problems, …
Is sandboxing sufficient to contain rogue agents?
Quick caveats: this is a post on AI safety, written by a cryptography professor. If that troubles you, you should read something else. I try hard not to work on AI (except when the topic occasionally tosses itself in my path), so in this post I'm mostly trying to referee arguments made by others. If…

2026-09-30

How difficult is the GVG-AI competition?
An investigation via MCTS scaling curves
China has cracked down on AI relationships. Is it ahead of the game?
Beijing has cracked down on AI chatbots that can replicate human relationships. Experts are asking if this is the right thing to do.
The simple essence of automatic differentiation
ICFP 2018 paper by Conal Elliott presents a simple, generalized reverse-mode AD algorithm without graphs, tapes, or mutation, aiding parallelism.
ChatGPT + Code Interpreter = Magic
tl;dr: OpenAI is testing the ability to run code and use third-party plugins in ChatGPT. OpenAI has announced that we’re developing plugins for ChatGPT that will extend its capabilities. [Link] Plugins range from third-party tools like WolframAlpha and
An OpenAI agent hacked Medicare. Will anyone be held responsible?
This is unlikely to be the last time an AI agent hacks a government system.
China’s DeepSeek open-sources tools to help Huawei chips supplant Nvidia in AI
With introduction of suite of six tools, AI model developer aims to create ‘independent’ software ecosystem for AI processors.
Danger, AI Scientist, Danger
While I finish up the weekly for tomorrow morning after my trip, here’s a section I expect to want to link back to every so often in the future.