Mixture of Experts
Mixture of Experts, Hans Gundlach, Zachary Brown, Alex FogelsonMIT FutureTech is an interdisciplinary lab of economists and computer scientists at MIT. We research the trends driving progress in computing and AI, and their impacts on science, policy, and society.
| Platform |  | Pricing | Only free issues | Publishes | Monthly |
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| Issues | 7 | Founded | a year ago | Last Issue | 3 months ago |
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mitfuturetech.substack.comLatest Issues
Just a Wrapper? How Much Do Scaffolds Matter?
Authors: Hans Gundlach, Zachary Brown, Jayson Lynch, and Neil Thompson
I am the shape the water takes.
— ClawdBot, Moltbook
TL;DR:
● Scaffolding — the software environment and contextual documents provided to an AI model at depl...
How Much Would It Have Cost Claude Shannon to Train Claude Opus?
Scientists have been working towards computers that can think since Turing formalized computational universality in 1936. But only in the last few years have computers managed to achieve long-held goals like passing the Turing’s test or rea...
Can Academic Science Keep Up with the AI Frontier?
If you listen to leaders of frontier AI labs, generative AI should precipitate a phase change in scientific research any day now. Demis Hassabis says we are on the cusp of unleashing a “golden era for scientific discovery” in the next 10 ye...
What Model Releases Do and Don’t Tell Us
Every month, tens of thousands of AI models are created by frontier labs, scientists, and hobbyists. Some of these model releases become major public news events. In the days after a new model arrives online, timelines fill with demos, hot...
On the Origin of Algorithmic Progress in AI
The world’s best AI researchers have been paid millions of dollars for their expertise. How much do their research breakthroughs impact AI progress compared to building bigger, more powerful datacenters? Our new paper titled On the Origin o...
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Authors
The writers behind this newsletter.
A blog by MIT FutureTech, an interdisciplinary research lab at MIT uniting economics and computer science. We study the determinants of progress in computing and AI – and the consequences of that progress for policy, the economy, and society.
Seattleite; Masters Mathematics student, Cambridge University; Bachelor of Physics, Mathematics UC Berkeley
I'm a research assistant in the economics of AI at MIT FutureTech. Before that, I was an analyst at a charity evaluator, and I did an undergraduate degree in philosophy, politics, and economics. I like whistling, arguing, ducks.
I'm a researcher at MIT FutureTech studying improvements in AI capabilities and their applications in academic science. Previously, I worked in the technology and finance sectors as a software engineer.
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