AI Startup Hugging Face Valued at $4.5B
Hugging Face, a startup that makes AI software and hosts it for other companies, said it has been valued at $4.5 billion after raising $235 million in funding. Hugging Face CEO Clem Delangue joins Ed Ludlow and Caroline Hyde on “Bloomberg Technology.” ——– Like this video? Subscribe to Bloomberg Technology on YouTube: Watch the latest…
Science & Technology
How Apple’s Lawsuit Could Stall OpenAI’s Hardware Plans
Injunctions, restraining orders, delays. The Equity Podcast crew breaks down how Apple’s trade secret lawsuit could throw a wrench in OpenAI’s hardware ambitions.
Bloomberg Technology
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Bloomberg’s Ed Ludlow looks at Chinese startup Moonshot’s latest model, which it says can compete with the best from OpenAI and Anthropic. Plus, Netflix shares tumble after the streaming giant warns of slowing sales growth for a second straight quarter. And, Greylock, one of the oldest venture firms, just raised $1.5 billion for its 18th…
Science & Technology
How Apple’s big lawsuit could disrupt OpenAI’s IPO plans | Equity Podcast
Apple filed a trade secrets lawsuit against OpenAI last Friday, and it’s not messing around. The complaint alleges a pattern of misconduct reaching all the way up to OpenAI’s chief hardware officer and claims more than 400 former Apple employees now work at the company. OpenAI’s response so far has been carefully hedged, and the…
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James Harris
August 24, 2023 at 5:21 pm
Conversational AI. Yes!!! Smart CEO. Got a wild story, huh? Is just so FAST that things are moving.
gold nutter
August 24, 2023 at 8:13 pm
It’s still early. This is BIGGER data, no one can build AGI yet. nVidia and Google are the most capable but the real story will be when a DAO model gets critical mass. Developed, owned and trained by the users. We’ll get a personal assistant that is easily manageable and very personalized because the human has sovereignty over the data and can use it to have a deeply nuanced data set and model customizations.
Fairly long way off at this rate.. everyone still using ChatGPT and giving them more dirty data to run compute on ? which would we rather.. having a massive amount of language data and simple matching without real context.. ? or an interpreter you can train by using it and with abundant settings and nuanced metadata fields as big or small as you want. The thing that runs on our phones should come in pieces and be compiled based on as many or as few adjustments as you choose.
If you want it to talk to you in a bloody Australian accent that should be bloody easy as heck mate. You can teach a person such things but text to speech and speech to text is still horrendous in the margins. Pretty soon the TOO MUCH DATA problem will have even worse consequences than the obvious issues that exist already. Beware the big wave of phishing attacks coming. It only gets worse if they have the right datasets, so far no sign of the worst threat.
Smokin’Politics
August 24, 2023 at 6:17 pm
My A.I. startup is work 10 billion losers!