This Day in AI Podcast

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This mind-blowing episode explores the shocking capabilities of GPT-4 vision, including how it identified Mike's exact location just from a traffic photo. We dive into the cheese-filled insanity of using multiple AI agents together with AutoGen, and discuss Anthropic's groundbreaking research into neural superposition. Don't miss our dramatic exposé of Meta's new lobotomized AI chatbots - this episode takes you on a wild ride through the cutting edge of AI!

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CHAPTERS
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00:00 - Shakespearean AutoGen DRs
00:29 - ChatGPT Vision Road Tested, Augmented Intelligence & Comparison to LLaVA Vision 
31:25 - The Cost of AI: Is There A Business Model With Margin?
36:52 - The Value of AI is in Productivity: Discussion of Business Models
43:19 - AutoGen Agents Cheese Test: Do Multi-Agents Perform Better?
58:09 - Anthropic's AI Break Through: Decomposing Language Models Into Understandable Components

SOURCES:
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https://llava.hliu.cc/
https://www.wsj.com/tech/ai/ais-costly-buildup-could-make-early-products-a-hard-sell-bdd29b9f
https://techcrunch.com/2023/10/09/chatgpts-mobile-app-hit-record-4-58m-in-revenue-last-month-but-growth-is-slowing/
https://www.wired.com/story/generative-ai-chatgpt-is-coming-for-sales-jobs/
https://twitter.com/amasad/status/1712276988403294610?s=46
https://www.anthropic.com/index/decomposing-language-models-into-understandable-components
https://twitter.com/julesterpak/status/1711766882934534631?s=20

PAPERS:
=====
https://transformer-circuits.pub/2023/monosemantic-features/index.html
https://arxiv.org/pdf/2304.08485.pdf

What is This Day in AI Podcast?

Join Michael and Chris Sharkey, two proudly average tech enthusiasts, as they stumble through the world of artificial intelligence with all the grace of a robot learning to dance. This (sometimes weekly*) podcast delivers an hour-long conversation about their thoroughly middle-of-the-road adventures with AI.

No PhDs. No Silicon Valley insights. Just two guys with enough technical knowledge to be dangerous, sharing their unexceptional yet entertaining experiences with AI tools and technology.

Subscribe now to hear:

• Mediocre hot takes on AI developments
• Stories of AI experiments gone adequately okay
• The most average advice you'll ever need
• Two Sharkeys trying their best to sound smart about algorithms
• Childish AI prank calls that somehow fool everybody
• Attempts at using AI for phishing attacks on their mother
• "Chart-topping" AI songs according to the brothers

Join our perfectly mediocre community where being average at AI is celebrated, questions are encouraged, and learning through mistakes is our specialty. Because let's face it - most of us are figuring this out as we go along.

New episodes drop whenever we remember to record them. 🎙️

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