Lennart Heim (@ohlennart) 's Twitter Profile
Lennart Heim

@ohlennart

managing the flop @RANDcorporation | Also @GovAI_ & @EpochAIResearch

ID: 1151681226

linkhttp://heim.xyz calendar_today05-02-2013 18:48:46

2,2K Tweet

5,5K Followers

704 Following

Peter Wildeford 🇺🇸🚀 (@peterwildeford) 's Twitter Profile Photo

Generalists* eager to shape AI policy should work for Lennart Heim ! Lennart Heim has my highest endorsement! (*Especially ML engineers and semiconductor experts, but this is not required - people who aren't that are welcome too)

Epoch AI (@epochairesearch) 's Twitter Profile Photo

Our AI Supercomputers database is now live! Explore specs for 700+ training & inference clusters—compute, chip types, power draw, ownership, location, and more.

Our AI Supercomputers database is now live! 
Explore specs for 700+ training & inference clusters—compute, chip types, power draw, ownership, location, and more.
Konstantin (@konstantinpilz) 's Twitter Profile Photo

People keep asking me ‘Konstantin, where are all the data centers?’ Today, I can finally give you the answer. Explore our new dataset of 750 AI supercomputers, both those that already exist and those planned over the next five years. Some of my own analysis 🧵

People keep asking me ‘Konstantin, where are all the data centers?’ Today, I can finally give you the answer.

Explore our new dataset of 750 AI supercomputers, both those that already exist and those planned over the next five years.

Some of my own analysis 🧵
Greg Burnham (@greghburnham) 's Twitter Profile Photo

The core idea is simple: building a broad and deep understanding, bit by bit, over time, is worthwhile. In particular, it compounds: build up your understanding by answering small questions and you'll be surprised how fast you can start to answer big questions.

Lennart Heim (@ohlennart) 's Twitter Profile Photo

We're planning to review the first batch of applications next week (Monday 6/23)! Make sure to apply if you're interested in crunching numbers for better AI policy.

Jacob Feldgoise (@jacob_feldgoise) 's Twitter Profile Photo

NVIDIA's latest chip architecture (Blackwell) achieves 10 TB/s die-to-die bandwidth—nearly 20x faster than the 910C's 540 GB/s. This gap shows the limitations of China's domestic advanced packaging offerings. More: x.com/ohlennart/stat…

Lennart Heim (@ohlennart) 's Twitter Profile Photo

Plot twist: Replace "shipbuilding" with "chipbuilding" and swap China for that small island neighbor. Same story, different industry.

Konstantin (@konstantinpilz) 's Twitter Profile Photo

We took a look at Chinese government efforts to accelerate AI. TL;DR: They are subsidizing at every layer of the stack, some of it useful, some wasteful. Compute remains a key bottleneck that will be hard to overcome without Western tech.

sam manning (@sj_manning) 's Twitter Profile Photo

Read the full piece: "Beyond Export Controls: How Strategic Promotion of American AI Abroad Can Protect the Homeland & Check China" therepublicjournal.com/web-exclusives…

sam manning (@sj_manning) 's Twitter Profile Photo

The window of opportunity is currently open. The PRC still lacks the compute necessary to widely export and embed their cloud services and AI systems around the world (see work from Lennart Heim below). x.com/ohlennart/stat…

Lennart Heim (@ohlennart) 's Twitter Profile Photo

This is an important and good paper! As someone often seen as an advocate for training compute thresholds, I'm glad to see criticism focused on what matters most: the regulatory target. But some comments: First, I shared similar reflections a few months ago after leaving