Saturday, January 25, 2025

10:53 AM

Before ChatGPT started writing your emails and explaining physics like a brunch topic, OpenAI was a cash-hungry research lab funded by Elon Musk and a few idealists. In this kickoff episode, host Emily Laird takes you back to the early days when GPT-3 was locked behind an API, DALL·E was dreaming in pixels, and OpenAI invented a “capped-profit” company to keep investors happy without selling its soul. This is the real story behind ChatGPT’s rise, built on cloud credits, venture capital, and a surprisingly good PR move. Join the AI Weekly Meetups Connect with Us: If you enjoyed this episode or have questions, reach out to Emily Laird on LinkedIn. Stay tuned for more insights into the evolving world of generative AI. And remember, you now know more about ChatGPT the origin story.

Connect with Emily Laird on LinkedIn

Large Language Models might sound smart, but can they predict what happens when a cat sees a cucumber? In this episode, host Emily Laird throws LLMs into the philosophical ring with World Models, AI systems that learn from watching, poking, and pushing stuff around (kind of like toddlers). Meta’s Yann LeCun isn’t impressed by chatbots, and honestly, he might have a point. We break down why real intelligence might need both brains and brawn—or at least a good sense of gravity. Join the AI Weekly Meetups Connect with Us: If you enjoyed this episode or have questions, reach out to Emily Laird on LinkedIn. Stay tuned for more insights into the evolving world of generative AI. And remember, you now know more about world models vs LLMs and that's pretty cool.

Connect with Emily Laird on LinkedIn

World models aren’t a sci-fi subplot, no, they’re how AIs build mini fake worlds in their silicon skulls to test ideas without wrecking your car or your reputation. In this episode, host Emily Laird breaks down what world models actually are (spoiler: think The Sims, but the Sim is smarter than your cousin) and why they’re the key to helping AI go from pattern-recognizer to planner-in-chief. From smashing virtual wine glasses to simulating race tracks, it’s all about letting AI fail in private before it acts in public. Because nothing says progress like teaching machines to imagine physics before physics teaches them a lesson. Join the AI Weekly Meetups Connect with Us: If you enjoyed this episode or have questions, reach out to Emily Laird on LinkedIn. Stay tuned for more insights into the evolving world of generative AI. And remember, you now know more about world models and that's pretty cool.

Connect with Emily Laird on LinkedInw