Big tech is transforming every aspect of our world. But how, and at what cost? This season of Land of the Giants – The Disney Dilemma – focuses on Disney’s ability to weather the ups and downs of the business cycle and changing tastes and explores what has kept it successful for over 100 years. The entertainment giant has leveraged nostalgia and its intellectual property to build a beloved brand, but after an acquisition spree that included Marvel, Lucasfilm, and 20th Century Fox, can it sus ...
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2023 Recap: Generative AI & ChatGPT
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Manage episode 386613915 series 3470116
Content provided by swivl. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by swivl or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
In this episode, we nerd about about all things genAI — a year in review:
- We give a recap of genAI’s impact this year, and highlight a few areas of impact
- Economy and the markets
- “Generative AI, the broader tech category ChatGPT falls under, has been projected to add up to $4.4 trillion in value to the global economy per year thanks to productivity boosts.”
- Re-skilling as a job, and the new roles sprouting up this year
- We dive into Reinforcement Learning from Human Feedback (RLHF), and how central this concept has been for the major LLM players.
- The team discusses some of the “wins” of the year, while also some “fails”
- In the win corner:
- Major updates and breakthroughs
- chatGPT passes almost every professional test
- impact to the economy
- In the fail corner:
- Bing Chatbot's other personality, Sydney.
- Work Disruptions and hallucinations
- Concerns about the technology were a central focal point of the writers and actors strikes.
- The arms race to build the data centers that power AI models is sucking up scarce water resources.
- The team also discuss some interesting developments in AI
- What the top players did right; in-depth takes about OpenAI, Google, Microsoft, Meta, Apple, Midjourney, Adobe, and more.
- Other than LLMs, some of the other model types to keep an eye on: Vision, Audio, and hardware
- Multimodality is mentioned as a huge aspect and the hosts predict its growth in the coming year.
- Auto GPT and using agents to complete tasks is a fascinating possibility.
- How hardware and new interfaces will be critical to the success of AI
- At the end of the episode, the team speed runs through some “hot takes” of what is to come. Wait until you listen to Kyle’s thoughts.
- Resources
32 episodes
MP3•Episode home
Manage episode 386613915 series 3470116
Content provided by swivl. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by swivl or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
In this episode, we nerd about about all things genAI — a year in review:
- We give a recap of genAI’s impact this year, and highlight a few areas of impact
- Economy and the markets
- “Generative AI, the broader tech category ChatGPT falls under, has been projected to add up to $4.4 trillion in value to the global economy per year thanks to productivity boosts.”
- Re-skilling as a job, and the new roles sprouting up this year
- We dive into Reinforcement Learning from Human Feedback (RLHF), and how central this concept has been for the major LLM players.
- The team discusses some of the “wins” of the year, while also some “fails”
- In the win corner:
- Major updates and breakthroughs
- chatGPT passes almost every professional test
- impact to the economy
- In the fail corner:
- Bing Chatbot's other personality, Sydney.
- Work Disruptions and hallucinations
- Concerns about the technology were a central focal point of the writers and actors strikes.
- The arms race to build the data centers that power AI models is sucking up scarce water resources.
- The team also discuss some interesting developments in AI
- What the top players did right; in-depth takes about OpenAI, Google, Microsoft, Meta, Apple, Midjourney, Adobe, and more.
- Other than LLMs, some of the other model types to keep an eye on: Vision, Audio, and hardware
- Multimodality is mentioned as a huge aspect and the hosts predict its growth in the coming year.
- Auto GPT and using agents to complete tasks is a fascinating possibility.
- How hardware and new interfaces will be critical to the success of AI
- At the end of the episode, the team speed runs through some “hot takes” of what is to come. Wait until you listen to Kyle’s thoughts.
- Resources
32 episodes
All episodes
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