Crazy Wisdom
The Anatomy of Decision-Making in the Age of AI
- AI & Agents
- ai decision-making
- artificial intelligence
- medical ai
- predictive processing
- venture capital
- generative ai
About this episode
Camilo Acosta joins us to discuss a broad range of topics surrounding AI, from its application in healthcare to its growing influence in Latin America. He dives deep into how AI technologies are evolving and what that means for businesses and consumers alike. Follow Camilo here
Key Takeaways-
The Astounding Capability of AI in Healthcare
- AI technologies can predict potential maladies with high accuracy.
- Notable advancements in healthcare AI are taking place at Mayo Clinic.
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The Current State of AI Prediction
- AI technologies have moved beyond generative images and text and now predict what we want to see or read.
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Future of AI: Action Over Prediction
- The next step in AI evolution is not just predicting events but acting on those predictions.
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The Three-Step Process for Decision Making
- Collect data, apply judgment, and make a decision.
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Noteworthy AI Companies
- Up-and-coming companies are making strides in areas like AI robotic surgery.
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The Role of AI in Latin America
- Latin America presents a blue ocean opportunity for new AI businesses.
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Financial Services and AI
- Banks like BBVA are starting to integrate AI technologies.
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Communication Through WhatsApp
- 70% of businesses in Latin America are using WhatsApp for various activities.
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AI and Automation
- AI enables more complex workflows than rules-based automation.
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Emerging Trends and Technologies
- LLMs, open source contributions, and more are shaping the future of AI.
- Medical Field: The ability for AI to predict potential health issues is not just promising but is already showing results.
- Prediction Machines: Current AI technology is capable of generating text and images based on prompts and predicting user behavior.
- Taking Action: The ultimate goal for AI is to not just predict but also to act on those predictions.
- Mayo Clinic: Mayo Clinic is at the forefront of implementing AI in healthcare, with particular emphasis on diagnostics.
- Data, Judgment, Decision: A typical decision-making process in AI involves collecting data, applying judgment based on that data, and then making decisions.
- Blue Ocean Opportunity: There's a lack of strong incumbents in the AI space, providing new entrants with less competition.
- Differences: Rules-based automation is not AI; AI involves more complex workflows and decision-making processes.
- "The next step in AI evolution is not just predicting events but acting on those predictions."
- "Latin America presents a blue ocean opportunity for new AI businesses."
Episode transcript
Welcome to the Crazy Wisdom Podcast. This podcast is for you. If you have an insane drive to find the truth of things, it's not the good answers that we seek, but the good questions. I interview a range of different guests from many different fields, all with the intention to uncover the simple truths that are hidden in plain sight. Most people don't want to go there. I go there, my guests go there, and you benefit. Please let me know if you enjoy these episodes and as always, subscribe on itunes, Spotify or wherever you listen to the podcasts. Welcome to the Crazy Wisdom Podcast. My guest today is Camilo Acosta. He is an AI investor, ex Facebook generative AI and exited CEO founder. Welcome to the show.
So what has been the craziest, most interesting thing that you've learned about AI in the past week?
Wow, interesting question. I think I'm always astounded when there's breakthroughs, particularly in the medical field. When I hear about AI being able to detect or predict eventual maladies, usually right now it's like cancer detection. I always find that just astounding. It's pretty, it's pretty cool to see that kind of progress or just humanity's sake.
And so you've heard of some, a recent AI prediction for maladies, like. Because that's the really big question, you know, if we take it back to the enlightenment, science kind of created a world where people expected theories to be predictive and then, and then. And it actually goes further back than that because it's also about evolution. Like there's this great theory called predictive processing by Carl Friston and he talks about how each individual cell in all our bodies is trying to predict the next second or the next moment. So in. Not only in human body, but every, every other cell in the universe. And you know, so predictions seem so important. And now we've got this, this intelligent agent who's are always on 247 and can it predict things? Right, that's, that's the, that's a very interesting question. And what do you think? Do you think this is this. We're at the stage now where this intelligent agent is predictive.
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