Bloomberg Technology
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…
Bloomberg Technology
Apple Rebounds in China, Bitcoin and Ether Retreat | Bloomberg Technology
Bloomberg’s Caroline Hyde and Ed Ludlow break down Apple’s rebound in China as iPhone shipments spike in April. Plus, Bitcoin and Ether retreat, and Elon Musk’s xAI raises $6 billion in a fresh round. 00:00 – Bloomberg Technology Begins 08:35 – Jordan Klein, Mizuho Americas Analyst 17:45 – Aya Kantorovich, August Co-CEO and Co-Founder 33:40…
Bloomberg Technology
Framework Ventures Co-Founder: Bitcoin Is Digital Gold
Framework Ventures Co-Founder Vance Spencer discusses why he thinks Bitcoin is digital gold, and why Ethereum is at the forefront of the tokenization movement. He joins Caroline Hyde and Ed Ludlow on “Bloomberg Technology.” ——– Like this video? Subscribe to Bloomberg Technology on YouTube: Watch the latest full episodes of “Bloomberg Technology” with Caroline…
Bloomberg Technology
August Co-CEO: Very Bullish on ETH
Aya Kantorovich August co-CEO and co-founder says there’s a lot of anticipation for Ether ETFs, and that crypto is becoming a key topic on the campaign trail in this US election. She joins Caroline Hyde and Ed Ludlow on “Bloomberg Technology.” ——– Like this video? Subscribe to Bloomberg Technology on YouTube: Watch the latest…
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Apple Rebounds in China, Bitcoin and Ether Retreat | Bloomberg Technology
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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!