I setup an XServe for a mid-sized office, Open Directory was Apple's solution at the time. It worked but my recollection was that they did it by emulating a lot of Active Directory by layering code over OpenLDAP. When it worked it was nice, when it didn't work it was a headache to figure out where the problem might be. The management tools really couldn't compete with Active Directory, it was a mix of incomplete UI and command line tools.
Collecting the age will be done via a photo of a legal US state ID. We can take bets but, as the article points out, only two vendors can do this and this is how they do it.
Maybe you mean where in bill does it say a US photo ID is required.
I think your are correct, I don't believe such a requirement exists in the bill itself and that's a big part of the article. Because the law doesn't require this, there's a very real risk that people won't realize that, if you are an adult, you will be required to upload a photo of your state ID. Prople might support the bill and only realize what it means in practical terms once it is too late and it has become law.
It isn't clear to me if requiring photo ID is a practical requirement or a decision the two incumbent vendors have made for their own reasons. My guess is that it is the cheapest and easiest solution.
The proving-your-age thing seems like a weasely way to talk about it. As you mentioned, providing a legible photo of your US state ID is a lot more data than your birth date!
It will become increasingly difficult to argue that a particular transcript between someone and Claude isn't accurate, once Anthropic finishes tying those transcripts to your official identification with Persona. Wild times!
There's a lot here, mixed some marketing and some dubious LLM claims. That being said, I think there could be real benefit in pushing detail on how features effect finances down to individual teams. Right now I have two features on my desk that both seem reasonable; if I knew which one would generate more income (i.e. increase customer retention, lead to more sales, etc.) that would make this choice a lot easier.
You can call it childish if you want, but a lot of people are unhappy with the economy in general and rising costs in particular. Energy costs are a big part of those rising costs and, like it or not, the AI vendors and their data center projects are an easy target.
I don't think it's necessarily a "backlash" to all the hype but the hype certainly made them a target
If you or Google have a plan to make the federal government stop shutting down renewable projects, we can re-examine the data center question after you carry it out.
So far the studies point to study authors having a profound misunderstanding of what’s happening. Which isn’t surprising, since any study right now requires speculating about what’s important and impactful in a new and fast-moving field. Very few people are good at that, and most of the ones who are are not running studies.
Until the LLM is wrong and Bob passes the erroneous result off as accurate, reliable and vetted by a knowledgeable person. At that point Bob is not producing a useful result. Then it becomes a trap other people might get caught in, wasting valuable time and energy.
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