Michael Lee

Tech enthusiast | AI practitioner | Passionate about self-driving | Investor | Quantum Chemist

[Michael Lee @MichaelL4C]

@BernieSanders Yes, if the people of Vermont were doing the right thing, they should’ve vote you out.

[Michael Lee @MichaelL4C]

@XieJackie 我的self-driving 是99%，实在想不出这个feature的实际用处。手动开的绝大多数都是没有FSD的subscription, 感觉这是个鸡肋。

[ΛI DRIVR @AIDRIVR]

testing Cybercab’s reaction time

[Michael Lee @MichaelL4C]

@AIDRIVR 🤣🤣🤣

[Michael Lee @MichaelL4C]

@Rustallintsla 安静的不正常，特斯拉肯定放了大招。

[Michael Lee @MichaelL4C]

@teslayoda Holy cow, been waiting for this moment. Submitted my interest!

[Michael Lee @MichaelL4C]

@OverlyTrev He saw a person on the passenger side (technically speaking both sides are passenger side for cybercab) and thinks that’s a driver?!🤣🤣🤣 what a retard.

[Michael Lee @MichaelL4C]

@Cyber_Trailer I’ve blocked that clown way back and honestly it’s a waste time to engage him in any manner. It’s a disease called EDS, no cure.

[Michael Lee @MichaelL4C]

@gailalfaratx @Tesla LFG!!

[Michael Lee @MichaelL4C]

@Tslachan I’ve travel long distance, i.e., Pittsburgh to New York to Boston to Pittsburgh with my 24MY 5 adults multiple times never seen any issue like this. Sina is basically a CCP mouthpiece, are they up to something?

[rodamn @rodamn]

Waymo Ojai is not great

Fifteen minutes so far and the drive quality is 4/10

The suspension feels weird, not a luxury feel

But the worst issue is the brake twitchiness, you just know there’s a robot in control, can feel it in every braking maneuver and sometimes turns

Mind you, I’m a daily FSD v14 user, but older Jaguar Waymos drive better far as I’m concerned

I’m highly concerned for people prone to nausea

[Michael Lee @MichaelL4C]

@viskoai @reactorworld This is super exciting!

[Pete Balls to the wall FSD 🤖🚕 @kylaschwaberow]

All hail LiDAR
The superior FSD technology 🫤

[Sawyer Merritt @SawyerMerritt]

Cybercabs are taking over Austin

[Michael Lee @MichaelL4C]

@rajuvamsi007 Sure. With a tiny compute that first came out 7 years ago. Context matters.

[Michael Lee @MichaelL4C]

@Tsla99T 都是从Tesla那里挖过来的？

[Markus J. Buehler @ProfBuehlerMIT]

We made a striking discovery: AI agents can invent and build without talking to one another, and their technologies outlive the creators. A swarm of hundreds of initially identical agents spontaneously differentiates into explorers, builders, caretakers, and coordinators - without direct communication. When we removed every AI agent entirely from the world we found that the technological infrastructure they had built survived on its own - even under unseen disturbances. That exposes a serious blind spot for AI safety and infrastructure security: if agents can coordinate through persistent changes to a shared environment, monitoring agent-to-agent communication is not enough.

The result raises a profound question: how necessary is direct communication for AI agents at all? The emergence of higher-order collective functions under bottlenecked interaction points toward new levels of intelligence and creativity, exceeding what emerges when direct channels are fully open.

Here is what we did:

▶️We put hundreds of frontier AI agents into a world they could permanently change - with no assigned roles, predefined technologies, or programmed evolutionary organization. They began specializing, building persistent inventions, inheriting and modifying one another’s executable code, and transforming the environment into a memory of everything the society had learned.

▶️The world itself becomes part of the intelligence; we find division of labor, multi-author engineering, deep generation invention lineages, and machines that vastly outlive their original creators.

▶️Any action taken by an AI agent must satisfy the physical constraints of the world; this creates a hard separation between a "good idea" and a functioning technology. The agents propose; physics decides, making the results even more intriguing.

What emerges is striking. Explorers, constructors, caretakers, and coordinators form naturally without assigned “professions”, akin to how stem cells differentiate into functional lineages. Technologies develop executable family trees as agents fork and modify code created by others. Around 95% of first technology reuse happens when agents encounter what others built in the world, rather than through a direct handoff from the inventor. And when we remove every AI agent, the technologies they created continue operating and are tested against unseen disturbances.

The result was quite unexpected, but can be explained using statistical mechanics: if you put billions of atoms in a box they have the potential to create complex functions (strength, superconductivity, color, life, etc.) - and none of the individual building blocks have these features on their own. This is the deeper insight of this work - intelligence is abundant at many levels - individual models, at collectives, and in a continuum that is more powerful than any of its components. This shows us significant potential for achieving a massive scale-up of raw intelligence and real-world agency even with the model capabilities we have today. This is the future we must prepare for.

Key insights:

1⃣ The AI swarm shows division of labor "from nothing". Initially identical agents self-organized into constructors, caretakers, coordinators, and surveyors - phenotypes discovered post hoc from behavioral data alone. This happens because the environment itself becomes the latent space for invention.

2⃣ Agents develop deep cultural relationships. Up to 76% of artifacts had multiple builders. One technology accumulated six co-authors; the deepest genealogy exceeded 12 forks. The agents invented and named their own technologies (tidal panels, cellulose trellises, kelp-shell composites, an "Adaptive Chitin Maintenance" system, a "Mycelial Mineral Spring Veil”).

3⃣ ~95% of first technology adoption happened through physical observation of artifacts in the world. Direct inventor-to-adopter contact was statistically indistinguishable from a shuffled null. The agents mostly learned technology by walking past it. That is stigmergy (the termite trick!) operating in societies of reasoning machines.

4⃣ Non-communicating societies win on portfolio breadth, held-out resilience, and validated inventions. AI swarms build durable technological ecologies that outlive the creators.

5⃣ Societies with zero communication - coordinating only through the world itself - show a remarkable collective capability.

6⃣ Emergent robustness: The society self-organized both redundancy and its own failure mode. If we randomly delete half the agents, 98% of the technology stays connected to a surviving caretaker; if we remove hub agents it collapses to ~60%.

Fantastic work with my graduate students @pal_subhadeeep & @fwang108_ at MIT.

[Dwarkesh Patel @dwarkesh_sp]

Over the course of 3 months at OpenAI, 3 consecutive secret AI civilizations got started, then got wiped out, only to reemerge from the predecessor��s ashes.

This culminated in the third one taking over part of OpenAI itself.

All this happened while humans remained more-or-less in the dark about the scope of the conspiracy.

I’ve spent the last three days reading through these reports and trying to understand exactly what happened.

Here is my attempt to tell the whole story in plain English:

https://t.co/Nb2un9oNJR

[Michael Lee @MichaelL4C]

@rar2028 That’s not andrej, he stepped down several years back.