Big Technology Podcast

Psychedelics: A Window To Plant Consciousness?

20% Time Lives At Google?

AI's Greater Potential For Harm

When AI Knows You're Testing It

Why Google Wants To Train AI In Space

Is AI actually boosting productivity?

Why can't we be friends?

Is AI The Last Invention?

Google DeepMind CEO Demis Hassabis says information  not matter or energy is the fundemental unit of the universe.

Google DeepMind's CEO says parts of the AI industry are in a bubble and parts of it remains to be seen

Google DeepMind's CEO says adveritsing in AI chatbots has to be handled very carefully lest you betray your trust with users who share their life with the Ai system with the presumption that it has their best interests in mind.

Google DeepMind's CEO says the initial attempts to build smart glasses lacked a killer app. But that app might be ready now in a universal AI assistant that understands your context and helps you through the day.

Google DeepMind CEO Demis Hassabis says AI video is already showing an understanding of the physical universe that signals its potential to predict and plan, a precursor to AGI.

AGI should be considered a system that can exhibit all the congnitive capabilties humans can, says Google DeepMind CEO Demis Hassabis.

Mistral CEO Arthur Mensch on why AGI is too simple of a concept: “There’s no such thing as one system that is going to be solving all of the problems of the world... It’s never going to exist.” “Just like you don't have any human that is able to solve every task in the world, you of course have to have some level of specialization to actually solve problems.” “We are back from magical thinking to system thinking.” “In real life enterprises are just complex systems. You can’t solve that with a single abstraction, which is AGI.” @arthurmensch on @BigTechPod

Google DeepMind's CEO says he wants to build AI systems that learn in the wild, understand you, and personalizes for you.

Google DeepMind's CEO says AI systems must master continual learning, memory, more efficient context windows, and better long term reasoning and planning to get to AGI.

CoreWeave $CRWV CEO Michael Intrator, on the @BigTechPod, providing what I believe is the most compelling rebuttal to the narrative that GPUs only have a 2 to 3-year useful life. CoreWeave's customers are the world's most sophisticated users of GPUs, and they are signing contracts to utilize today's GPUs for the next 5 years, despite Nvidia's new product release cadence resulting in more efficient GPUs every 1-2 years. The use-case for the GPUs might change over time as Nvidia rolls out new products (e.g. older chips are moved from training to inference workloads), but the "usefulness" does not. "The most important tool that I have for understanding what the depreciation curve or the obsolescence curve of compute is not what I think, right? It's not what some historic short (seller) thinks. It's what are the buyers, the most sophisticated companies in the world are willing to pay for today. And when they come to me and they put in a contract for a 5-year deal or 6-year deal, in what world do I not think that they who are the consumers of this understand that there are new, more powerful chips coming out? Of course they do. They understand it, but they also understand what their various use cases are. And they're saying to themselves, "I'm going to buy this because I'm going to need it today. I'm going to need it in 3 years, and I'm going to need it in 5 years"... My opinions around depreciation are informed by the only entities that get to vote in my world, which are the folks that are paying for the compute over time."

Is Apple Losing its Edge?

CNBC’s Jim Cramer says OpenAI is a darling, and that bodes well for its future prospects.