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Машинное обучение ,АИ,BIG DATA ,DEEP LEARNING, Machine learning https://nitter.gq/t.co/fU1sxtPqJp

Санкт-Петербург, Россия
Joined August 2017
Photo by Machine Learning (@Machinelearrn)Photo by Machine Learning (@Machinelearrn)Photo by Machine Learning (@Machinelearrn)Photo by Machine Learning (@Machinelearrn)Photo by Machine Learning (@Machinelearrn)Photo by Machine Learning (@Machinelearrn)Photo by Machine Learning (@Machinelearrn)Photo by Machine Learning (@Machinelearrn)Photo by Machine Learning (@Machinelearrn)Photo by Machine Learning (@Machinelearrn)
Machine Learning retweeted
👀 Mythos est apparu quelques secondes chez Anthropic ! Son nom sera Claude Mythos 5 : La meilleure classe de modèle ne sera plus Opus, mais Mythos. Elle commencera à la version 5 de Claude. Vous pouvez retrouver des avant-premières sur mon profil !
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Machine Learning retweeted
Welp, that happened faster than I predicted. Thought it would be end of 2027, then early 2027, but agentic traffic growing so fast that bots have now passed human traffic online for the first time in the Internet's history. radar.cloudflare.com/traffic…
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Machine Learning retweeted
The Colossus 2 supercomputer for @Grok is now operational. First Gigawatt training cluster in the world. Upgrades to 1.5GW in April.
xAI has officially become the first to bring a gigawatt-scale coherent AI training cluster online That’s more electricity than the peak demand of San Francisco While competitors are still drafting roadmaps for 2027, xAI is already operating at major city–level power today The execution speed is unreal: Colossus 1 → from dirt to fully operational in 122 days Colossus 2 → just crossed the 1 GW barrier, targeting 2 GW total Elon’s playbook hasn’t changed: move faster than everyone, scale before they finish meetings The strategy is clear: speed and execution at scale
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