The Reasoning Show

The Reasoning Show - Reasoning through the AI Revolution

The industry's leading AI podcast, explores how leaders think through AI, technology, and transformation. Each week founders, investors, and operators unpack the decisions behind the systems shaping modern business.

Hosts: Aaron Delp and Brian Gracely

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The Reasoning Show

2023 Look Ahead to AI/ML

January 11, 2023 • Cloudcast Media

0:00 | 45:23

Sam Charrington (@samcharrington, host @twimlai podcast) talks about the evolution of AI & ML in 2023, and the possibilities of ChatGPT.

SHOW: 684

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SHOW NOTES:

This Week in AI & ML (podcast, homepage)
Sam talks to ChatGPT to create a podcast
(2017) - Sam on Eps.321
(2019) - Sam on Eps.382
(2020) - Sam on Eps.437

Topic 1 - Hi Sam. Welcome back to the show. Before we get into today’s discussions, tell us a little bit about the breadth of things you’re doing over at TWIMLAI and how people can get involved?

Topic 2 - Let’s start with the recent headlines - Stable Diffusion and ChatGPT. For those of us that aren’t around this everyday, it feels like some big leaps in useability. Did we see a big jump in AI at the end of 2022, or was this just good UI design, or something else?

Topic 3 - ChatGPT - Give us the basics, and then what are some of the more interesting things you’re hearing people start to talk about with technology like this.

Topic 4 - The last time you were on, we talked about how “the goal posts tend to shift” about what we think of as powerful AI. Do you see any areas of AI getting close to becoming a big shift in terms of ease-of-use, or being hidden/embedded in other technologies?

Topic 5 - There are various reports about GPUs being harder to get these days. There is also speculation that the cost of AI processing has been going up. What are you seeing in terms of cost of processing vs. useful outcomes lately?

Topic 6 - What’s the “getting started” curve look like for companies that want/need to add or integrate AI & ML into their applications? What’s the barrier to entry and has it changed in the last few years? What are some numbers you hear about cost of engineers, sizes of datasets, number of experiments and models needed to run, etc.?

Topic 7 - What are some of the things you’re really looking forward to i

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