Calling for a pause on AI experimentation then spending millions on GPUs for a new AI project has real Musk energy
He co-founds, then leaves OpenAI on bad terms, then calls for a six-month pause on AI experiments… Now this.
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Some two weeks back, Elon Musk was one of a number of big names who signed an open letter calling for apause on AI development. As a totally unexpected advancement to the story the man is now rumoured to have purchased 10,000 GPUs. What are these high-powered graphics cards for, you ask?
A generative AI project known as X.AI Corp, of course (viaArs Technica).
Yep, Elon Musk is now taking up the very sceptre he attempted to block, and may be shipping his newly acquired GPU haul to Twitter’s Atlanta data center as we speak. Reports from our sister siteTom’s Hardwaretalk of Musk recruiting previous DeepMind employees for the venture, to help birth whatever ChatGPT-rivalling large language model (LLM) he has in the conception stages right now.
Estimated to be worth tens of millions of dollars, there’s no word on the exact hardware Musk’s reported purchase consists of. The likelihood is it’s going to involve a good few of Nvidia’s Hopper H100 GPUs, and/or some A100 and GPUs similar to ChatGPT’s own.
Having co-founded Open AI (creators of ChatGPT) back in 2015, and having later left the company in 2018 on bad terms, this certainly feels like something Musk would see as a logical business step.
We’ve fought through the rumours, and it turns out X.AI itself isn’t necessarily going to be directly associated with Twitter. It is likely to utilise Tesla’s masses of data, however,as well asTwitter data to train the expected X.AI LLM.
Becausetraining chatbots on social medianever went terribly wrong, ever.
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Screw sports, Katie would rather watch Intel, AMD and Nvidia go at it. Having been obsessed with computers and graphics for three long decades, she took Game Art and Design up to Masters level at uni, and has been rambling about games, tech and science—rather sarcastically—for four years since. She can be found admiring technological advancements, scrambling for scintillating Raspberry Pi projects, preaching cybersecurity awareness, sighing over semiconductors, and gawping at the latest GPU upgrades. Right now she’s waiting patiently for her chance to upload her consciousness into the cloud.
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