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"will humanity ever do a 10 million GPU pre-training run?" OpenAI CEO, Sam Altman, raises the question: oAI employee: there'll be 10m GPUs working together on an AI system that learns and performs tasks. however, the approach may shift from fully synchronous pre-training to "semi-synchronous" or more decentralized methods.
125,411 Aufrufe • vor 1 Jahr •via X (Twitter)
11 Kommentare

don't forget that transformer architecture won't be around forever. you've got to think macro, on a longer timeline.

Stay competitive by balancing cutting-edge AI with automation tools. Forrester shows how.

Thats a massive scale it's exciting and kind of scary at the same time

ChatGPT has been around for 3 years and its still not able to return information without omitting half of it. Both OpenAI and Anthropic are horrible at the most important part of AI.

using distributed computing. ex: using smartphones cpus - 8000/14000M

10-million-GPU pre-training run is theoretically plausible but faces significant technical, economic, and ethical hurdles. potential benefits of such a system are immense, they however, must be weighed against the risks and resource costs involve. shift to asynchronous pre-training is not just plausible but necessary for scaling to 10 million GPUs reflects a broader evolution in ai infrastructure—one that prioritizes resilience, efficiency, and decentralization over rigid synchronization. this transition however requires solving novel challenges in optimization, system design, and governance and if successful, it could enable unprecedented ai capabilities while paving the way for more sustainable and democratized ai ecosystems.

Could be done more effectively with my triadic designed systems in theory and sim's HUGE gains!

With a big enough nuclear reactor ☢️

probably yes but gpus themselves will scale.

twink

gpus are outdated and not suited for ai google with their tpus will lead
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