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Comment Letâ(TM)s review what AI companies have said (Score 1) 90

1. AI will put people out of work
2. AI may destroy humanity
3. AI models are breaking out of their constraints and committing cybercrimes
4. AI companies depends on massive handouts from taxpayers and socialized infrastructure costs hidden behind NDAs and backroom deals with elected officials, ie corruption

Plus, AI models suck up massive amounts of resources compared to people - water, energy, land, etc. The most likely use cases are lateraling human knowledge and enabling a mass surveillance state, Chinese social credit style.

Now that I say it in writing I dont know why would anyone oppose that? Iâ(TM)m just as mystified as the AI CEOs /sarcasm

Comment Re: Woudn't be surprised if it all comes crashing (Score 1) 76

A lot of companies went bust during the dot com crash. Arenâ(TM)t a number of infrastructure companies handing free tokens to ai companies as investment, then booking use of those tokens as revenue, then going out spending cash or borrowing money to build hundreds of billions in capex?

Comment Re: Plausible deniability is better (Score 1) 218

You are unfamiliar with Supreme Court rulings on this subject. In United States v. Montoya de Hernandez, 473 U.S. 531 (1985), the court ruled
that routine searches of people and their effects entering the country require neither reasonable suspicion, probable cause, nor a warrant.

18 USC 2232 makes it a crime to impair the governments authority to take possession of property.

18 USC 1512 makes it a crime to destroy or conceal records/evidence to prevent their use in official proceedings.

18 USC 1001 makes it a crime to lie to federal law enforcement officers, which CBP is.

If he told CBP that this was his genuine unlock code then heâ(TM)s got a problem.

So to win this case he will have to dodge a controlling Supreme Court precedent and potentially 3 federal statutes.

Comment Re: "Chief Slop Janitor" (Score 1) 91

Who cares about those bug fixes, security updates, and lessons learned when you are rewriting your code base from scratch?

AI can produce high quality code when it gets a high quality input, ie a UML document and workflow diagram. A different AI agent can audit that code for memory leaks and other points of failure.

Humans can test the functionality of the program and give feedback, which updates the UML specs and workflow diagrams.

The code base then gets refreshed

AI is to coding what the electric car is to transportation. Compare the maintenance needs between the two.

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