Collaborative Intelligence: The Human & AI Partnership
summary
Shows concrete examples: ChatGPT schedules a last‑minute train and Llama (Meta) generates a sonnet; GitHub Copilot and Stack Overflow surface combined context via 60 million public dataset and an announced integration later this year; enterprises pilot co‑pilot workspaces trained on org data and GitHub rolls out code scanning in preview; surveys show only 40% trust AI outputs, adoption stalls beyond early teams, and hiring managers penalize candidates who over‑rely on AI.
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chapters (19)
- 0:00Collaborative intelligence panel
- 1:15Panel of AI and tech experts
- 2:40AI collaboration in action
- 5:12GitHub Copilot vs Stack Overflow AI
- 7:20AI tools for productivity
- 8:47Measuring AI productivity gains
- 11:17Trust and adoption challenges
- 13:25AI augmentation vs human expertise
- 15:32AI fears and misconceptions
- 16:33Safety security ethics in AI
- 19:43Trustworthy AI with oversight
- 21:06AI production and monitoring gaps
- 22:32Responsible AI adoption
- 24:18AI growth framework
- 26:04AI progress and problems
- 27:49AI tools for coding
- 29:14From syntax to big problems
- 31:01Programming languages with AI
- 32:05Diversity and one billion developers
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