UPDATE: Collaborative doc to add trustworthy sources:
https://docs.google.com/document/d/1MFVOSPMznNa8MkDkhhpEpYQ28SsUEkRy9-4cjL-VVGg/edit?usp=sharing
Generative AI has been the fastest moving technology today. It also happens to be terribly misunderstood.
How can we build a clear understanding of AI capabilities? How do we curate an information environment that lets us accurately assess the capabilities of the technology? What developments are worth paying attention to?
Join this session to find out!
- How do we keep up with all that fast-moving AI progress?
- How do we educate ourselves to understand this technology deeply?
- Where can we find useful signals that will help us make responsible business and technical decisions? How do we avoid noise and undue hype?
- What can we do as technologists to create a good information environment? How do we communicate the capabilities of AI usefully?
- How can we advance the field of AI with the resources we have?
- A framework for evaluating AI capabilities and separating genuine breakthroughs from hype
- Practical strategies for building your own AI information diet (specific sources, tools, and filtering techniques)
- Methods for translating technical AI developments into actionable business and product decisions
- A curated list of high-signal resources and communities worth following
- Technical leaders and practitioners who want to keep pace with AI developments and distinguish signal from noise
- Those who’ve developed effective strategies for staying current and want to exchange notes on how they upskill and monitor the frontier
- Engineers, product managers, architects, and technical decision-makers who need to make informed choices about AI adoption.
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