Project Flux Weekly Pulse Series / Exploring AI Winters and Building the Foundations: Data and Skills for Effective AI
In this episode, Yoshi and James discuss the concept of AI winters and the current state of the AI industry. They explore the history of AI bubbles and the factors that led to their bursts. They also discuss the differences between the previous AI winters and the current AI revolution, highlighting the advancements in AI infrastructure and commercial viability.
The conversation then shifts to techniques for maximising the value of AI models, such as few-shot prompting and using the voice feature. They also touch on the upcoming voice feature in ChatGPT.
Finally, they discuss an event summary from the Major Projects Association on the landscape of AI. The conversation discusses the importance of getting data and skills right for effective AI implementation. It emphasises the need to start from where we are now and not be discouraged by past mistakes.
The conversation also explores how to communicate the opportunities of AI in a way that is accessible and encourages adoption. It highlights the role of showing people how easy it is to use AI tools and providing examples of how AI can improve tasks like email writing.
The conversation then delves into the investments being made by big tech companies in AI infrastructure and talent, raising concerns about the potential for a market crash. Finally, the conversation touches on the new Turing test for AI, which is now focused on tasks like gymnastics.
Takeaways
- AI winters are periods of disillusionment and reduced funding in the AI industry.
- The current AI revolution is different from previous AI bubbles due to advancements in AI infrastructure and commercial viability.
- Techniques like few-shot prompting and using the voice feature can maximize the value of AI models.
- The upcoming voice feature in ChatGPT will enable more conversational interactions.
- The Major Projects Association provides valuable insights into the landscape of AI. Data and skills are essential foundations for effective AI implementation.
- It's important to start from where we are now and not be discouraged by past mistakes.
- Communicating the opportunities of AI should be done in a way that is accessible and encourages adoption.
- Showing people how easy it is to use AI tools and providing examples of their benefits can help drive adoption.
- Big tech companies are investing heavily in AI infrastructure and talent, raising concerns about a potential market crash.
- The new Turing test for AI focuses on tasks like gymnastics.
Key Links:
All topics are from this week’s newsletter: https://projectflux.beehiiv.com/p/ais-first-winter-new-age-ai-different
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