Narrow training vs emergent generalization

Today’s Milk Road AI episode dives into one of the biggest questions shaking the AI: Is OpenAI falling behind Google… and what happens if they are? Duncan and Patrick break down the “Code Red” moment inside OpenAI, Gemini’s breakout performance, and how these model wars could unleash a compute supercycle unlike anything we’ve seen before.

~~~~~

🤖 Get the drama, the deals, and the smartest ways to invest in AI with Milk Road AI:

https://link.milkroad.com/ai-podcast-5

~~~~~

✊ Follow Milk Road on Social Media:

👉 Twitter: ⁠⁠⁠⁠⁠⁠⁠https://x.com/MilkRoadAI⁠⁠⁠⁠⁠⁠⁠

👉 YouTube: ⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@MilkRoadAI⁠⁠⁠⁠⁠⁠⁠

👉 Spotify: ⁠⁠⁠⁠⁠⁠https://link.milkroad.com/spotify-mr-ai⁠⁠⁠⁠⁠⁠

👉 Apple Podcast: ⁠⁠⁠⁠⁠⁠https://link.milkroad.com/applepod-mr-ai⁠⁠⁠⁠⁠⁠

~~~~~

🎙 GUEST INFO 🎙

Duncan: ⁠⁠⁠⁠⁠https://x.com/FloodCapital⁠⁠⁠⁠⁠

Patrick: ⁠⁠⁠https://x.com/Potrock_⁠

📃 Disclaimer 📃

The information presented in this video is for educational and informational purposes only. It should not be considered as financial, legal, or tax advice. The speakers are not licensed financial advisors or registered investment advisors. Investing in cryptocurrencies carries significant risks, including the potential for substantial losses. The speakers do not guarantee any specific outcome or profit.