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Listen "2023 Recap: Generative AI & ChatGPT"
Episode Synopsis
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
ChatGPT: A Year in Review
State of AI in 2023
$4.4 trillion in Value to Global Economy
OpenAI's ChatGPT turns one year old; what it did (and didn't do)
ChatGPT continues to be one of the fastest-growing services ever
A link to all of the tests chatGPT completed— HERE
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
ChatGPT: A Year in Review
State of AI in 2023
$4.4 trillion in Value to Global Economy
OpenAI's ChatGPT turns one year old; what it did (and didn't do)
ChatGPT continues to be one of the fastest-growing services ever
A link to all of the tests chatGPT completed— HERE
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