Robots don’t get drunk, or distracted, or text, or speed…

Anecdotally, I think the Waymos are more courteous than human drivers. Though waymo seems to be the best ones out so far, idk about the other services.

Yeah, but in both cases a majority of the population lives in the moderately dense line between the two major cities in the south east.

I guess that’s one advantage of stack overflow, sometimes you need a guy to tell you the entire basis of your question is dumb and wrong.

The actual survey result:

Asked whether “scaling up” current AI approaches could lead to achieving artificial general intelligence (AGI), or a general purpose AI that matches or surpasses human cognition, an overwhelming 76 percent of respondents said it was “unlikely” or “very unlikely” to succeed.

So they’re not saying the entire industry is a dead end, or even that the newest phase is. They’re just saying they don’t think this current technology will make AGI when scaled. I think most people agree, including the investors pouring billions into this. They arent betting this will turn to agi, they’re betting that they have some application for the current ai. Are some of those applications dead ends, most definitely, are some of them revolutionary, maybe

Thus would be like asking a researcher in the 90s that if they scaled up the bandwidth and computing power of the average internet user would we see a vastly connected media sharing network, they’d probably say no. It took more than a decade of software, cultural and societal development to discover the applications for the internet.

it will be relatively easy to strip off

How so? If it’s anything like llm text based “water marks” the watermark is an integral part of the output. For an llm it’s about downrating certain words in the output, I’m guessing for photos you could do the same with certain colors, so if this variation of teal shows up more than this variation then it’s made by ai.

I guess the difference with images is that since you’re not doing the “guess the next word” aspect and feeding the output from the previous step into the next one, you can’t generate the red green list from the previous output.

Nah, $70 billion is about right, and that’s a conservative estimate. If it turns out anything like california high speed rail then it could definitely go into $100 billion territory.

Common law countries like the u.s., Canada and u.k. are really inefficient at building hsr due to property rights issues. California is still struggling to build its hsr even though it’s scope has been reduced, its budget keeps ballooning. Similarly, the hs2 project in England to connect London to Manchester has also been cut back to just Birmingham, and it’s also over budget ringing in £ 50 billion for just that section.

If this were china then yeah you could probably get a Vancouver to Quebec line for $70 billion, but the Canadian central government isnt that strong and would have to deal with a lot more regulations.

They could also build a high speed rail from Toronto to Quebec, something the people could actually use.

Yeah, if you repeated this test with the person having access to a stack exchange or not you’d see the same results. Not much difference between someone mindlessly copying an answer from stack overflow vs copying it from AI. Both lead to more homogeneous answers and lower critical thinking skills.