diagnosis
He argues that self-driving cars cannot be fully solved because the system cannot plan for a human intentionally trying to crash into the car.
Topic brief
A Jiang Lens evidence brief for this topic, built from source tags, transcript matches, and linked source refs.
Self Driving Cars
A transcript-matched topic anchored by excerpts such as "...system down. Okay, right. And so the classic example is self driving cars. We have cars that drive for a long time. But and..."
Showing 20 evidence items
No matching evidence on this topic page.
Topic Scope And Freshness
Key Notes
diagnosis
He says cars may have self-driving features but are not fully self-driving because they cannot prevent malicious or intentional human edge cases.
model
Jiang argues self-driving cars expose AI's political limit: malicious humans can make robot systems fail, so the system's answer is to eliminate human driving and make the world safe for AI.
model
Jiang says self-driving cars illustrate the larger project: perfect order can only be achieved by removing human intention and autonomy from the system.
Timestamped Evidence
Transcript
"...would the world look like? OK, OK, let's talk about self -driving cars. Right. We cannot achieve self -driving cars. Why? Because when you..."
Transcript
"...And this is the Freemason solution is churn everything into self -driving car. Humans are no longer able to drive. Yeah. You see that?..."
Transcript
"...driverless cars right right now it's impossible to achieve perfect self -driving cars why because you can never account for human intention right so..."
Transcript
"right you take away human autonomy to drive a car and then you have a perfect world where there are no more road accidents..."
Transcript
"...let me ask you this question. Can I ever solve self -driving cars? Can I ever solve self -driving cars, self -driving cars? Can..."
Sources:
Reading
Transcript
YouTube
Data
Transcript
"...screw up my AI system? You guys know? Why can't self -driving cars be solved? Why can't we have self -driving cars on the..."
Sources:
Reading
Transcript
YouTube
Data
Transcript
"...situation where I'm the human being, and I don't like self -driving cars because I'm a taxi driver, and it's stealing my job, right?..."
Sources:
Reading
Transcript
YouTube
Data
Transcript
"...of AI it's it's very limited you also look at self -driving cars now there are cars that have self -driving features but they..."
Sources:
Reading
Transcript
YouTube
Data
Transcript
"...system down. Okay, right. And so the classic example is self driving cars. We have cars that drive for a long time. But and..."
Sources:
Reading
Transcript
YouTube
Data
Transcript
"...damn right or intentionally trying to cause an accident or self driving car. Does that make sense? And the answers you cannot. In this..."
Sources:
Reading
Transcript
YouTube
Data
Transcript
"...skyscrapers and futuristic cities and high -speed rail and uh self -driving cars and robots it's all very impressive okay but let me tell..."
Sources:
Reading
Transcript
YouTube
Data
Relevant Lectures And Readings
Reading
The lecture starts by warning against overconfident certainty, then rewires from literary method to a hard model of AI: today’s systems are pattern-fitters optimized for compliance, so power becomes control over what counts as...
Sources:
Reading
Transcript
YouTube
Data
Reading
Sneako opens by telling Jiang that the predictions have started landing.
Sources:
Reading
Transcript
YouTube
Data
Reading
Jiang defines Predictive History as a falsifiable method, then uses it to argue that Soleimani's killing made a U.S.-Iran war structurally inevitable, that eschatology is not prophecy but a strategic plan, that Odessa is...
Sources:
Reading
Transcript
YouTube
Data
Reading
The final class turns collapse into an assignment: build a democratic psychohistory that can model war, correct history, answer great-man edge cases, and still preserve the human heart that wants to love, create, learn,...
Sources:
Reading
Transcript
YouTube
Data
Related Topics
How To Use And Cite This Page
This topic page is a discovery surface. For generated synthesis, cite the human-readable source reading or lens page. For Jiang-spoken claims, cite the transcript segment, source ref, and YouTube timestamp. Raw text and Markdown mirrors are fallback surfaces for tools that cannot read this HTML page.