Keeping Up with the Algorithms: A Journey in Artificial Intelligence
summary
Panelists state compute invested in AI keeps rising at 4–7x year‑over‑year, projecting 16–50x growth in 12–24 months; Anthropic’s Claude 3 Opus is cited as current frontier model. Examples: LLMs generate an 80%‑complete security strategy and risk matrix, coding assistants boost developer output 30–70%, and Google demonstrates LLM‑powered vulnerability discovery. Recommended actions include a one-day patch policy, auditor frameworks like financial certifications, and FBI measures: intel collection on adversarial AI, protecting American AI IP, and enforcing ethical use via an AI Ethics Council.
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chapters (16)
- 0:00AI and cybersecurity threats
- 5:48AI advancements pace
- 7:34AI benefits for cybersecurity
- 9:19Regulating AI change
- 11:53AI corporate vs consumer rights
- 16:55FBI AI cyber threats strategy
- 21:57Legislative AI challenges
- 24:22AI misuse examples
- 27:15Large language models threats
- 32:59AI phishing and zero-day threats
- 35:35Explaining AI threats
- 38:26AI data governance for executives
- 41:01AI security measures next 12 months
- 43:12FBI AI challenges future
- 45:01Future-proofing AI cybersecurity
- 48:37Q&A
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