Life at the Edge

The Future of Meta Superintelligence: A 1 Year Progress Update

A top tier RL environment startup spawns out of thin air, the most aggressive compute ramp we've ever seen, 2000km+ scale-across, and some advice for Google DeepMind

Part 4: Brief history of Apple ML Stack

By Mirai Labs, frontier on-device AI lab. Building the models, inference runtime, and quantization stack from the device constraint up.

Introducing Pipette: A benchmarking suite for on-device intelligence — Blog

Meet Pipette, an open-source platform for reproducible on-device AI benchmarks across models, quantization, runtimes and hardware.

Together AI | The AI Native Cloud

Build what's next on the AI Native Cloud. Full-stack AI platform for inference, fine-tuning, and GPU clusters — powered by cutting-edge research.

malleable computing

By Devine Lu Linvega

Import AI 470: No rights for machines; automating environment generation with SPADE; and building better GPU kernels with Hawkeye

Differential acceleration of cyber, math, and AI

Resonant Computing Theses

Theses on Resonant Computing Resonant computing is not a dogmatic or rigid paradigm, but a vision for the future of digital technology that we’re collectively defining in real time. The theses on this page are an ongoing experiment in collective intelligence, where anyone who builds or uses techn...

Defining the Dimensions of the “Space” of Computing

The first computing machines were so large they filled entire rooms. Today they are ubiquitous, built invisibly into our environments. While it's tempting to view this change within a predetermined space of progress, we can still shape the future on our own terms.

Rabrg/artificial-life

A simple (300 lines of code) reproduction of Computational Life: How Well-formed, Self-replicating Programs Emerge from Simple Interaction

zach lieberman on Twitter / X

Today I was able to weave a line from Myron Krueger in a talk I gave : Computation is the medium of our lifetimes - it’s not just a technical medium but a cultural medium as well. We should explore the culture of computation.— zach lieberman (@zachlieberman) April 10, 2024

Import AI 464: Fables writes GPU kernels; AI automation; and analog computation

Is this the beginning of a new world?

The Bitter Lesson: Rethinking How We Build AI Systems

The Race for AI Progress In 2019, Richard Sutton, wrote his groundbreaking essay titled ‘The Bitter Lesson’. Simply put, the essay concludes that systems which get better with higher compute beat the systems that do not. Or specifically in AI: raw computing power consistently wins over intricate human-designed solutions. I used to believe that clever orchestrations and sophisticated rules were the key to building better AI systems. That was a typical sofware dev mentality. You build a system, look for edgecases, cover them and you are good to go. Boy, was I wrong.