The kaleidoscopic futures of AI and security
summary
AI helps AlphaFold decode 220 million proteins in under four years and researchers using generative models publish about 67% more papers and get three times the citations; robotics on sites lay 400 bricks an hour and tie rebar in 5.5 seconds; AlphaCode2 already outperforms 93% of competitive programmers; frontier labs argue fusion, commercial quantum and post‑token ML could unlock vast energy and compute while military projects like Golden Dome cost $100 billion–$1 trillion.
AI-written summary · about
chapters (6)
- 0:00The vision of the future
- 4:28Technological acceleration
- 11:10Navigating modern disruption
- 20:24Geopolitical and global risks
- 28:37Choosing a positive path
- 33:31Call to action for leaders
related talks
30mIntroduction to AI Safety. Let's be ready before it's too late!
58mThe Next Decade of Software Development
39mForward Focus: Perspectives on AI, Hype, and Security
43mBeyond the AI Hype: What's Real, What's Next
54mThe Future of AI: Building the Most Impactful Technology Together
01h 01mKeynote: Guardians of the AI Era: Navigating the Cybersecurity Landscape of Tomorrow
52mBeyond the AI Hype: What's Real, What's Next
49mKeeping Up with the Algorithms: A Journey in Artificial Intelligence
