Tye Phoenix

Compute @ Ornn | CS & AI @ MIT

[Hyperstition @hyperstition_cc]

Today, we release the first series of our findings.

1 - We cut pretraining costs by 62% at frontier scale (8x Chinchilla), and we further cut all AI inference costs by 30% (Faster decode).

2 - Introducing our model ‘Feather’, which decisively overtakes Qwen 3 as the leading frontier 1.7B math model, using 180x fewer total training tokens, even matching Qwen 4B at potent benchmarks in math.

3 - With Anvil II, our state of the art LLM Optimiser, we record the largest pre-training efficiency jump on the NanoGPT Speedrun, leaping the previous by 34seconds - Our record singularly, is a greater percentage drop than the past 45 World Records combined.

The website : https://t.co/fG1TZecjIE

[Tye Phoenix @tptphoenix]

Grain, 1848. Crude, 1983. Compute, 2026.

Same three adjectives every time.

[Jensen Huang @JensenHuang]

NVIDIA compute is fungible, durable and highly rentable. It is a productive, revenue-generating asset.

[Kush Bavaria @bavaria_kush]

Today, we're announcing our Series Seed funding of $33M led by @a16zcrypto

[Tye Phoenix @tptphoenix]

@AshtonAxe28930 Just more proof that the connection between the product and the user is more important than the underlying technology itself.

[Tye Phoenix @tptphoenix]

Excited to welcome Stanford Professor @erikbryn as an advisor!

Professor Brynjolfsson is a Senior Fellow at the Stanford Institute for Human-Centered AI (HAI) and director of the Stanford Digital Economy Lab.

Welcome to the colony! 🐜

#advisors #MondayVibes #AI #Stanford #SoftwareDevelopment