hollerith
Joined 19 years ago
Joined 19 years ago
I hate how the site clutters every page with hundreds of shiny tokens whose only purpose is gamification (with no way to turn the gamification off in site settings).
I now read the answers to my technical questions from Emacs buffers containing ASCII text only.
An unreliable source writes, "litigants frequently use the Administrative Procedure Act to argue that an agency acted in an arbitrary and capricious manner, failed to follow required notice-and-comment procedures, or exceeded its statutory authority."
Not only is he an American, but also he routinely makes arguments to American Federal judges very similar to the argument he is making here or at least he is a colleague and coworker of people who do.
How is a very large operation more efficient at producing comic-book sales than a smaller operation?
Why cannot new comic-book companies easily be created? One guess I have is that most of the profit potential is in sales of new stories about characters that are well-known, like Superman or the Incredible Hulk, and copyright law prevents new entrants from selling those stories.
It was often paired with another term which I cannot confidently recall, maybe "the information economy".
Although Chinese imports didn't become an important factor in the US economy till the 1990s, Deng's rise to power happened in 1978 and his famous "Southern Tour" happened in 1982. Both events committed China to a course of economic modernization, welcoming Western investment and special economic zones designed to boost exports, which the US media did not fail to notice.
Trump was the first president in the modern era to try to stem the flow of factory jobs overseas. Clinton for example was all-in on globalization.
Amazon, Tesla, Netflix, and Palo Alto Networks have never paid a dividend at any point in their histories as publicly traded companies.
Advanced Micro Devices hasn't paid one since 1995, Adobe since 2005.
Walk me through that. In 1999, some people proposed splitting up Microsoft. One spinoff would own Internet Explorer, another would own the office suite, a third would own Windows.
You could spin off Instagram and Whatsapp, but after you do that, Facebook is still really big -- worth many 100s of billions. How to split that up?
Every user east of the Mississippi ends up in Facebook East and every user to the west in Facebook West??
OK, to be more precise: it would still have a market cap of "multiple hundred billions of dollars" if it never acquired or merged with any other companies.
No one has any plausible plan or halfway-decent plan for how to maintain control over an AI that has become super-humanly capable. Essentially all of the major AI labs are trying to create a super-humanly capable AI, and eventually one of them will probably succeed—which would be very bad (i.e., probably fatal) for humanity. So, clearly the AI labs must be shut down and in fact would have been shut down already if humanity were sufficiently competent. The AI labs must stay shut down until someone comes up with a good plan for controlling (or aligning) AIs, which will probably take at least 3 or 4 decades. We know that because people have been conducting the intellectual search for a plan for more than 2 decades as their full-time job, and those people report that the search is very difficult.
A satisfactory alternative might be to develop a method for determining whether a novel AI design can acquire a dangerous level of capabilities along with some way of ensuring that no lab or group goes ahead with an AI that can. This might be satisfactory if the determination can be made before giving the AI access to people or the internet. But I know of no competent researcher that has ever worked on or made any progress on this problem whereas at least the control problem has received a decent amount of attention from researchers and funding institutions.
The AIs that might prove fatal to humanity will be significantly different in design from the AIs that have been already widely deployed: for one thing, they will constantly learn (like a person does) as opposed to already-deployed AIs in which the vast majority of the AI's learning happens during a training phase that ends before any widespread deployment of the AI. Also, they will be much better than current AIs at working towards a long-term goal. I say this because I don't want to be misunderstood as believing that Google Gemini 2.5 or ChatGPT 5.0 might take over the world: I understand that those AIs are incapable of a such a thing. The worry is the AIs that are still on the drawing board or that will appear on a drawing board 5 or 10 years from now. There is no need to ban Gemini 2.5 and ChatGPT 5. Since some AI researchers pursue AI "progress" for ideological reasons and will tend to persist stubbornly even after AI research is banned, the best time to ban AI frontier research is now, so that these stubborn ideologues whose research will have been driven underground (because of the ban) but are capable of making a little more "progress" on AI will be unlikely to be able to make enough "progress" to end the world.
Again, as soon as anyone comes up with a solid plan for controlling (or aligning) an AI even if the AI turns out to be more capable than us, the ban on frontier AI research can be lifted as long as the majority of AI experts and AI researchers are in agreement that the plan is solid. No one can say how long this search for a solid plan will take, but IMHO it will probably take at least 3 or 4 decades.
More at
https://intelligence.org/the-problem/