jayhasbrouck

@walterkirn @walterkirn - ethnographicmind.com/robots-its-com…

No writer ever made a more accurate and specific prophecy than Ray Bradbury about robot dogs. Also: the first time one of these harms a real dog we will see an uprising.

Yes, this post is about AI, sort of. But really, it’s about the topic of storytelling. Join our conversation about its evolutionary benefits, what makes a story ‘interesting,’ and even the role AI might play in a return to folk narrative. Join us! ethnographicmind.com/storytelling-a…

@r0ck3t23 Fei-Fei is right, but there’s more. The other blind spot is getting these models to integrate human universal values: ethnographicmind.com/humanizing-ai/

Dr. Fei-Fei Li just called out the biggest blind spot in the entire AI industry. We have been building half of human intelligence. And calling it the finish line. Li: “If you look at human intelligence, it pretty much boils down to two buckets.” The first bucket is language. Symbolic reasoning. Communication. The ability to think in words and abstractions. That’s what every major AI lab has spent the last decade building. The second bucket is the one the industry has almost entirely ignored. Li: “We call that in AI spatial intelligence.” How humans and animals perceive, navigate, and interact with the three-dimensional physical world. How we reach for objects. How we move through space. How we build and manipulate physical reality. From painting masterpieces to constructing the pyramids, non-verbal spatial intelligence is what actually shapes the world. Language describes reality. Spatial intelligence acts on it. And the gap between those two things is the gap between a chatbot and a robot. Li: “When this technology is ready, the robotic revolution is gonna start. We’re already seeing that trend.” Every robot is a moving agent. Every moving agent requires spatial intelligence to function in the real world. The humanoid robots being deployed in factories right now are hitting the ceiling of what language models alone can power. Spatial intelligence is the unlock. But Li didn’t stop at robotics. Li: “From a geopolitics point of view, this is part of the technology that goes straight into weapons.” Autonomous drone swarms. Battlefield navigation. Physical target acquisition without human oversight. Every military application of AI that operates in the real world runs on spatial intelligence. The nation that masters the transition from static text to dynamic three-dimensional perception doesn’t just win the software race. It commands the physical battlefield. The AI arms race just broke out of the data center. It’s operating in three dimensions now.

@GCarpetPernman @walterkirn @GCarpetPernman Would love to hear your thoughts on this: ethnographicmind.com/humanizing-ai/

In case you haven't guessed it yet, we are all entering a science fiction future. Times a thousand. I have spent many many hours over the years speaking with the people, or with some of them, who will design this future. And who already have, to some extent. I pose as a weirdo, but they have me beaten by margins of cosmic magnitudes. One thing I try to do here is to humorously introduce my followers to subjects which are most serious and which aren't even controversial among people in the know. I'm willing to take the hit of seeming too far out to some folks because I'm not far out enough, in fact.

What do human-robot interactions tell us about our ourselves? It's complicated. ethnographicmind.com/robots-its-com…

@iruletheworldmo An anthropological POV, for those interested: ethnographicmind.com/humanizing-ai/

Done

@JayaGup10 ethnographicmind.com/humanizing-ai/

@a16z @DavidSacks ethnographicmind.com/humanizing-ai/

David Sacks says the biggest risk of AI was described not by James Cameron in The Terminator but by George Orwell in 1984. “I almost feel like the term ‘woke AI’ is insufficient to explain what’s going on because it somehow trivializes it.” “What we’re really talking about is 'Orwellian AI.' We’re talking about AI that lies to you, that distorts an answer, that rewrites history in real time to serve a current political agenda of the people who are in power.” “To me, this is the biggest risk of AI... It’s not The Terminator, it’s 1984.” @DavidSacks

@verge ethnographicmind.com/humanizing-ai/

Large language mistake theverge.com/ai-artificial-…

‘Humanizing AI’ How can we lay a foundation for AI that’s systematically grounded in our shared human values, rather than online echo chambers? ethnographicmind.com/humanizing-ai/

Are we headed toward a post-meaning AI-dominant online world, where compelling content and interactions are ALL that matter — and meaning (or accuracy) is served up as a secondary priority tailored to our interests and preferences? ethnographicmind.com/meaningful-vs-…

This is brilliant. They nailed almost every single influencer archetype. God help us all 💀🤦‍♂️

ethnographicmind.com/what-works-sto… “We may soon see storytelling evolve as AI tools are leveraged by storytellers, but it’s clear AI models aren’t passionate about sharing stories — but a good storyteller is. That passion generates the deep connections that stories have always catalyzed.”

"As human insight practitioners, we're in the unique position to leverage the human propensity to wander, to identify symbolic outliers, to sense layers of emotional meaning in our surroundings and interactions. ethnographicmind.com/what-works-ada…

Curiosity generates the most value when we create opportunities for our cross-functional partners to engage and embody it. ethnographicmind.com/what-works-cur…

Intro to a new mini-series: The goal is to consider our enduring value in light of shifts in the industry. In each installment, I'll consider one of three attributes that serve as what I consider critical: curiosity, adaptation, and storytelling. ethnographicmind.com/staying-power/

Where do we go deep? Where do we stretch across? What methods and models make the most sense? Why? With the accelerated pace and unprecedented scope and scale LLM's offer, the risk of rapidly veering off course is now greater. ethnographicmind.com/three-question…

Gymnastics is the Turing test of video generation models

Considering what works, what doesn’t, and why in research: in most cases, success hinges on consciously considered the timing of insights, and de-emphasizing efforts to convince. I collected some thoughts (and offer a strategy) here: ethnographicmind.com/read-the-room/