In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss generative AI in 2024 and the rapid advancements in generative AI over the past year, including significant developments in various AI models. They explore how these technologies impact businesses and the importance of understanding their capabilities and limitations. The conversation also delves into the role of data quality and organization in leveraging AI effectively and the potential risks and ethical considerations in AI implementation. Tune in to gain insights into navigating the evolving landscape of AI in 2024.

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What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode.

In this week’s In-Ear Insights, Happy New Year, it is 2024.

We are almost a quarter of the way through the century, which is mind boggling when you think about it.

And the topic du jour unsurprisingly, remains generative AI and all the absolutely insane year that 2023 was just a quick recap.

We saw OpenAI go from GPT-3, 2.5 and ChatGPT to GPT-4 to four v four v and four turbo, so three major releases within a year including the ability for it to see as well as read.

We saw Google go from bar to bar to to Bard with Gemini, although most recent benchmarks is that Gemini is not any better than OpenAI is free ChatGPT With three GPT-3 point five.

We saw anthropic go from Claude declawed to to cloud 2.1, before the end of the year having the largest context window 200,000 tokens, although it is not great.

And we saw the open source community developing some models that are absolutely mind blowing going from Metis first Lama release in early 2020 to Loma two, and then Miss draw the French company going from nothing to Mr.

l seven to the to MC straw, that mixture of experts model which is industry leading performance for models that you can run on your laptop, which when you think about you don’t need a server room full of tools to have generative AI working for you.

On the image side, we saw stable stability AI go from Stable Diffusion to Stable Diffusion, XL to SDL turbo, all within a year’s time, which allows for now real time animation, which is mind bending, with video clips up to 10 seconds long.

And on the regulatory side, we saw the first actual legislation regulating the use of generative AI come from the EU, the EU is AI Act, which was passed at the very, very tail end of 2023.

The big revision there for marketers to pay attention to of course, is disclos