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Mechanize | San Francisco, CA (Onsite) | Junior SWE ($300k + equity + bonus), SWE ($350k + equity + bonus), Research Engineer, Alignment ($500k + equity + bonus) Applying takes htt…

Mechanize | San Francisco, CA (Onsite) | Junior SWE ($300k + equity), SWE ($350k + equity) Applying takes https://jobs.ashbyhq.com/mechanize We build environments that frontier AI …

Mechanize | San Francisco, CA (Onsite) | Junior SWE ($250k + equity), Senior SWE ($375k + equity) Applying takes https://jobs.ashbyhq.com/mechanize We build RL environments that fr…

Mechanize Inc. | San Francisco, CA (Hybrid, ONSITE preferred) | Senior SWE ($500k+equity), Junior SWE ($250k+equity) Apply at: https://jobs.ashbyhq.com/mechanize Mechanize builds s…

CMOS processors can become around 200x-fold more energy efficient than the H100.

TLDR: the H100, lower precision, and other advances lead to a big jump in computational performance. We're in for a wild ride when the next generation of models is trained on 100x …

The result about recent compute trends is different from the recent trends described by OpenAI. In particular, they find a 3.5-month doubling time over the Deep Learning Era, where…

Not parameters, the amount of FLOPS required to train the model.