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
Nvidia’s Magic Fades | Bloomberg Technology
Bloomberg’s Caroline Hyde discusses the latest sentiment around Nvidia as investors cool on the AI darling despite posting an earnings beat. And, the new Trump administration is said to be mulling a first-ever crypto policy role. Plus, Palo Alto Networks sees easier “fixes” ahead in cybersecurity as the world moves from hardware to software. ——–…
Bloomberg Technology
Palo Alto CEO Says Regulations May Get Easier Under Trump
Nikesh Arora, CEO of Palo Alto Networks, says M&A could potentially move quicker under the new Trump administration as they take on a more deregulatory tone. He joins Caroline Hyde to discuss on “Bloomberg Technology.” ——– Like this video? Subscribe to Bloomberg Technology on YouTube: Watch the latest full episodes of “Bloomberg Technology” with…
Bloomberg Technology
JPM Rolls Out AI Assistant for Workers
JPMorgan Chase Chief Data and Analytics Officer Teresa Heitsenrether talks about how the company is using an artificial intelligence assistant called LLM Suite. She speaks to Bloomberg’s Caroline Hyde at the Evident AI Symposium in New York. ——– Like this video? Subscribe to Bloomberg Technology on YouTube: Watch the latest full episodes of “Bloomberg…
Nvidia’s Magic Fades | Bloomberg Technology
Palo Alto CEO Says Regulations May Get Easier Under Trump
JPM Rolls Out AI Assistant for Workers
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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!