Over 100k YouTube videos have been scraped to train AI | TechCrunch Minute
What do MrBeast, John Oliver and the Wall Street Journal have in common? The transcripts of their YouTube videos have been scraped to train the AI used by major companies like Anthropic, Nvidia, Apple and Salesforce. An investigation from Wired and Proof News found that this dataset contains transcripts from over 173,000 YouTube videos on…
Science & Technology
Do you trust Meta with your digital life?
Meta’s AI agent Muse stole the spotlight this week, but would you trust Meta with your entire digital life? The Equity crew looks at the company’s consumer AI ambitions and why some users (like Sean) might prefer to hand that information to another provider Listen to the full episode:
People & Blogs
Being a person is better than being perfect all the time #TEDTalks
Why are we so obsessed with productivity? Horticulturist Rebecca McMackin (who wants people to let their lawns grow wild) and author Catherine Price (who wrote a book about the power of fun) come together to discuss the relief of giving up control. From growing milkweed to taking up unproductive hobbies, they dig into the benefits…
Bloomberg Technology
Microsoft AI CEO, Mustafa Suleyman on Why Industry Needs a ‘Red Line’ for AI
Microsoft AI CEO Mustafa Suleyman talks about the growing alarm about AI and why he’s taking a human first approach in an interview with Bloomberg’s Shirin Ghaffary for the Q&AI newsletter. ——– Like this video? Subscribe to Bloomberg Tech on YouTube: Watch the latest full episodes of “Bloomberg Tech” with Ed Ludlow here: …
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@mopthermopther
July 18, 2024 at 2:17 pm
???? ???? ???? ???? ????????
@mummler
July 18, 2024 at 2:33 pm
If it comes right down to it I’ll cancel my YouTube. A lot of YouTube that I watch has been taken over by ai and I don’t like it. I’ve noticed a lot of the content is not accurate, especially on the true crime channels.
@OPIXdotWORLD
July 18, 2024 at 6:57 pm
rum ball would of been better…haha
@jakenieten
July 19, 2024 at 6:18 am
All liberal anti-factual sources.