Jensen Huang Calls Out AI Doomers: “All of These Predictions Have Been Wrong”
Ask about All-In Podcast
Episode Description
Thanks to our partners for making this possible!
PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. For more information, visit https://www.paypal.com
Google for Startups connects founders with the right people, products, and best practices to help startups build faster and go further. https://startup.google.com/
Explore ideas, industries, and technologies worth understanding with Chamath every week on Learn with Me: https://research.socialcapital.com/allin
Follow the besties: https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg
Follow on X: https://x.com/theallinpod
Follow on Instagram: https://www.instagram.com/theallinpod
Follow on TikTok: https://www.tiktok.com/@allin
Follow on LinkedIn: https://www.linkedin.com/company/allinpod
Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg
Intro Video Credit: https://x.com/TheZachEffect
Brief Summary
The episode critiques inaccurate predictions about AI's impact on jobs, especially in radiology and coding.
Key points
- The AI Predictions Fallacy. Many predictions about AI's impact on jobs have proven to be inaccurate.
Transcript
What does that mean? 10% of extinction >> is made up and it shouldn't be done. It's it's it's irresponsible. Now the fact of the matter is let's go back and look at the real facts. The facts are uh there was a prediction that in 5 years time radiology will be completely taken over by artificial intelligence and there'll be no radiologists in the world. That has proven to be exactly the opposite. We need more radiologists than ever in the world. However, AI has taken over radiology completely which is great. Is automated scan reading which is great. Um uh there was a prediction that within 6 to 12 months, wasn't it just last year? Within 6 to 12 months,
uh 90% of code would already be generated uh by AI. That has turned out to be wrong within 6 to9 months. That was predicted last year. 50% of entry jobs will be wiped out. That has proven to be wrong. Uh let's see what else. What else has proven to be wrong? I mean, all of these predictions have been wrong, >> right? GPT2 would be too unsafe to release. That llama 3 would be too unsafe to release. >> Oh, one. >> Yeah, we've heard these. >> Half of white collar jobs would be gone next year. >> The jobs apocalypse. Yeah. >> We have to take accountability. We have
to take account for all of the stupid predictions that were made, >> right? >> Somebody has somebody has to take Yeah. >> And and so we ought to just keep track of all that. And of course, people do and remind us that those those predictions are inconsistent with ultimately America winning the AI face.
