When you buy a 600g loaf of whole wheat bread from Ralph's Supermarket at 6:17pm on Tuesday Sep 22 2026 for USD4.99, there is zero (0) reason to consider that any more your data than Ralph's data.
Just as you can use that set of facts plan and optimize your budget, so should Ralph's be able to use that data to plan and optimize their business.
Cornell / Merlin / eBird publishes a global species frequency DB indexed by location and date (so, how likely is a species to appear in a place, on a day of the year)... In a project that I was working on, this helped a lot when used to influence the "raw" identification based on appearance alone.
See current situation where the Carpenters' Union in California is pushing hard against an initiative that would make it much easier to build more housing in the state because it would also reduce requirements for union labor.
Unions are very much an in-group vs out-group phenomenon (and in many cases, the benefits are specifically to the more senior union members vis a vis the less senior ones.)
> Unions are very much an in-group vs out-group phenomenon (and in many cases, the benefits are specifically to the more senior union members vis a vis the less senior
In the US. In the UK all the major unions I know don't require membership and fight for all employees in the industries they represent. E.g. as a software developer on a research project at a University I got all the negotiated benefits of the academic Union.
In Italy too. We have national contracts that are negotiated by unions for the whole indistry and are valid for all workers of the same industry, not only members.
They've also been proven to increase wages for people in the same industry who are not even in the union due to raising the floor in general for what good labor should cost
> See current situation where the Carpenters' Union in California is pushing hard against an initiative that would make it much easier to build more housing in the state because it would also reduce requirements for union labor
If you're talking about AB 1751 (Missing Middle Townhome Ownership Act) I think you have this exactly backwards.
> Unions are very much an in-group vs out-group phenomenon
As opposed to what? You and the GGP phrase this as a dichotomy, but I'm really curious what the other side of this is, because "not being in a union" doesn't erase your self interest or all the many many groups of people doing the same that don't feel like they're apparently being overly self interested by forming corporations, governments, non-profits, advocacy groups, etc, etc, etc
I mean given that effectively all other ISPs delivered nothing under these programs, it's a lot better for folks living in rural areas to get Starlink than nothing...
I'm sorry, but how does a business writer lead an article with garbage like this:
Amazon makes nearly a billion dollars in profit from search ads. Every week. Each week, they sell merchants and publishers enough search-distorting ads to capture a billion dollars in revenue.
Is it revenue or profit? They are not the same thing.
>> And a detection system that works 50%-90% of the time is better in a lot of cases than no automated detection at all. For example, universities need to make cheating with chatgpt risky for students.
I would say that's not necessarily the case unless there are zero false positives. In fact, your university situation is exactly where a detection system that works 50-90% of the time would be a nightmare if a meaningful share of the 10-50% errors were false positives.
And students could just verify their ai generated code doesnt have the mark.
Im very confused how this is even supposed to work at face value.
1) If the verification can be done by anyone, then anyone can bypass it.
2) If it can only be done by anthropic then the government or whomever has the special privilege (not everyone otherwise this is just #1) has to make a specific request
Is the point of the legislation to accurately classify text in general or to simply detect the true positives?
A watermarking system like this should have an incredibly low false positive rate. Orders of magnitude lower than the current crop of AI detector tools.
The lazy kids, yeah. But, it was always the lazy kids who are cheating the most with LLMs.
EDIT: Sorry, I misread your comment above. Yeah, hopefully orders of magnitude fewer kids than the number who are getting falsely accused of cheating with LLMs now.
Increasing the accuracy of these systems - both in terms of false positives and false negatives - seems like a good thing.
A proper watermarking system should be able to have an arbitrarily high accuracy - as many nines as you want. And it should be able to actually report the accuracy of its judgements.
If you're worried about kids being falsely accused of cheating using LLMs, you should be cheering on these developments.
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