Menlo Research is an Applied R&D Lab building Asimov, an open platform to enable the next billion robots.
Artificial Intelligence, Interactive Measurements, and Assemblage Theory
Fuck Heidegger.
HoYoverse to invest up to $14.6bn in AI for in-house tools
Publisher plans to use these tools in its upcoming life simulation title, Petit Planet, featuring AI-powered NPCs
The Scientific Contribution Graph: Automated Literature-based Technological Roadmapping at Scale
Sir Isaac Newton famously wrote, “If I have seen further, it is by standing on the shoulders of giants”. Scientific contributions are rarely developed in isolation, but build upon prior contributions, such as problem framings, experimental methods, and empirical findings. Understanding these prerequisite relationships is important for studying scientific progress, and for automated scientific discovery systems that must reason about which existing capabilities can be used to develop new ones (e.g. Lu et al., 2024; Jansen et al., 2025b; Baek et al., 2025).
Stanford AO — Building the autonomous organization
Stanford AO is building the autonomous organization — an incubator at Stanford OpenLab for agent swarms, DAOs, AI villages, and related experiments.
Harness Engineering for Self-Improvement
The concept of recursive self-improvement (RSI) dates back to I. J. Good (1965), where he defined an “ultraintelligent machine” as a system that can surpass humans in all intellectual activities and design better machines to improve itself. Yudkowsky (2008) used the phrase “recursive self-improvement” for a specific feedback loop: an AI uses its current intelligence to improve the cognitive machinery that produces its intelligence. This feedback loop in modern AI may indicate the model rewriting its own weights directly, or more broadly the model improves the training pipeline and the deployment system, which in turn enables a better successor model with improved performance across economically valuable tasks. The speed of research development in AI has been shown to drastically accelerated in frontier labs (Anthropic; OpenAI).
The machines are fine. I'm worried about us.
On AI agents, grunt work, and the part of science that isn't replaceable.
Hypothesis, Antithesis, synthesis
Introducing Hegel, our new family of property-based testing libraries.
Labor market impacts of AI: A new measure and early evidence
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
Unreasonable Effectiveness
Seriously: Machines Do Not Need to Think to Be Thought About 💡As I am immersed in PhD research I am at risk of becoming increasingly dense and nerdy. So I am adding a "nerd rating" to posts from now on, evaluating my estimation of how niche a post probably is.
How AI assistance impacts the formation of coding skills
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
DeepMind Institute
Bold, well-evidenced thinking on AGI from the lab that pioneered the field. Read the latest essays from the DeepMind Institute.
I am often wrong
[I shared this note with my team earlier this week, and am posting it here as well. I hope it is interesting or helpful for others working on building product in the age of AI.]
On AI and building your own GIS software
Of the thousands of essays over the past two years surrounding AI and its implications are some very thought provoking ones with enormous implications for GIS. Some of the essays are around the the…
sigargv/Laguna-M.1-GGUF · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
AI Wrappers: It's Just Trucks All The Way Down
Check out this programming meme on ProgrammerHumor.io
