
How agents will change banking forever | E2260
This week on TWiST, the episode delves into AI advancements, starting with Andrej Karpathy's innovative auto-research tool aimed at improving AI models. The discussion highlights the democratization of AI and its varied global adoption, contrasted by its unpopularity in the US and the resulting social contract issues. The conversation then shifts to the political and social implications of AI, particularly concerning job displacement and the enduring value of skilled trades. Demos include NetX's AI banking integration by Suresh Ramamurthy and Rohan Arun's Phone Claw AR glasses automation. The episode wraps up with insights on mass automation's impact on social media, agent-based app testing, and future applications for self-improving agents.
Key Points
- AI models are now able to improve their own code through recursive self-improvement loops, showcasing significant potential for autonomous advancements.
- The rapid adoption and enthusiasm for OpenClaw, particularly in China, contrasts sharply with the growing skepticism and negative sentiment towards AI in the United States.
- AI-driven automation is being integrated into various workflows, from banking transactions to social media management, highlighting the transformative potential of AI across different industries.
Chapters
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| 57:48 |
Transcript
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