EP 303: What the AI experts are getting wrong (and right) about AI.

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What does the future of AI look like? A lot of AI futurcasting starts as seedlings at AI conferences across the country. Sometimes we're lucky enough to attend and speak at some of these conferences. Sometimes, speakers and panelists are spot-on when talking about the future of AI. And at times, they can miss the mark. We're giving you all a quick recap of one such conference we attended -- Chicago AI Week.

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Ep 288: Big Tech’s Critics Have Gotten a Lot Wrong on AI

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Topics Covered in This Episode:
1. Innovation in Business and AI
2. Role and Importance of AI Experts
3. Ethical Considerations in AI Implementation
4. Trends in AI Startups and Public Companies
5. Chicago AI Week

Timestamps:
01:30 Study challenges traditional assessment, questions AI in academia.
05:17 Recapping Chicago AI Week, common trends
09:08 Unprecedented business innovation, US leading in safety.
13:37 Transition to AI native is vital. Industry expertise shines.
16:12 AI impacts on productivity, ethics, and jobs.
20:12 AI startups need to be cautious with value.
22:56 GPTs enable companies' similar capabilities.
26:32 Demand for generative AI generalists will grow.
27:52 Experts should understand basics of generative AI.
32:32 AI content detection is not real, period.
36:33 Engaging with content puts you in top 1%.

Keywords:
business innovation, safety, risk mitigation, generative AI, AI first company, AI native company, AI expertise, ethics in AI, reskilling, upskilling, AI job displacement, AI impact on workforce, public companies, AI investment, company mission and AI alignment, startups, value propositions, AI language models, prompt engineering, tokenization, context windows, transformers, AI generalists, international monetary fund, AI in academia, AI voice clone, AI content detection, AI startups, AI conference, livesteams

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