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…
People & Blogs
Let this be your last Short for the day #TEDTalk
Do you sometimes have your most creative ideas while folding laundry, washing dishes or doing nothing in particular? It’s because when your body goes on autopilot, your brain gets busy forming new neural connections that connect ideas and solve problems. Learn to love being bored as Manoush Zomorodi explains the connection between spacing out and…
Bloomberg Technology
Intel’s Big Raise, Apple’s iPhone Roadmap | Bloomberg Tech 8/11/2026
Bloomberg’s Ed Ludlow breaks down Intel’s upsized $20 billion share sale, raising a third more than it was targeting when it announced the deal on Monday. Plus, sources tell Bloomberg that Apple’s glass-centric iPhone overhaul is still on track for 2027, even after an analyst’s report said it had been cancelled. And, drone startup Neros…
Bloomberg Technology
RUM Group’s $3 Billion AI Opportunity
RUM Group posted record quarterly revenue as its push into AI infrastructure begins to show up in results following its acquisition of Northern Data. CEO Chris Pavlovski joins Bloomberg to discuss the company’s Quake AI business, its push to monetize more than 250 megawatts of power capacity and what he calls a $3 billion annual…
Let this be your last Short for the day #TEDTalk
Intel’s Big Raise, Apple’s iPhone Roadmap | Bloomberg Tech 8/11/2026
RUM Group’s $3 Billion AI Opportunity
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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!