Granted, the number of cases this distinction matters is relatively small, making a function faster only makes a program appreciably faster if that function is a bottleneck.
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Granted, the number of cases this distinction matters is relatively small, making a function faster only makes a program appreciably faster if that function is a bottleneck.
One weird tangentially related thing is checking whether a PR is merge:able after solving a conflict in this repo[1] for some reason takes several minutes. Maybe because there are 1000 commits in the same file. Doesn't seem UI related but weird regardless.
[1] https://github.com/MarginaliaSearch/submit-site-to-marginali...
But sure, how do you propose to pay taxes with assets that can't be liquidated and may not even be possible to valuate?
Even if you somehow pay taxes in assets that can't be liquidated, now the government has the same problem instead. What is the government gonna do, pay its employees in unlisted stocks, yachts and famous paintings? How will it even know how much taxes it's gathered?
If the tax isn't isn't just satisfying some sense of petty envy, and the tax is intended to cover some budget deficit, I don't see how this would help.
You can't take net worth away because it's just an estimate of what someone is worth. It may eventually be possible to turned into dollars and cents without losing too much in the process, but almost universally it can't immediately be exchanged in such a fashion.
Even more so when we're talking shares in a company that is not yet public, e.g. a founder's shares. At that point the valuation is complete speculation, based on what the company may be worth in some hypothetical future IPO. There's no actual price discovery since there's no public trading of such shares.
Overall we've been eating very well the last few years when it comes to new adventure games. In most of the 2010s new adventure games tended to not really be very good, but the stuff we've seen the last few years from the likes of Wadjet Eye and Grundislav are absolutely on par if not better than the highlights of the '90s.
It's very often misused though, I think from people confusing the label as referring to games being about an adventure, rather than being like the game Adventure.
It's if nothing else a staple in the Arthur Conan Doyle tradition of mystery novels, and even then half the plots involved hiding who was culpable by using the machinations to create false alibis, with delayed murders and the illusion of a locked room as not even in the 19th century did anyone believe that the indirection itself would hold up as a defense.
If someone buries an anti-personnel mine in a public park and then argues that it acted on its own accord when it maimed a pedestrian, I doubt you'll find a court on the planet that would spend even a 4 seconds considering the culpability of the land mine itself.
The poor data quality is a problem for anyone who wants to use the tags, which has seen everyone almost universally reaching for other solutions. Search engines have preferred anchor tags, bookmarking solutions have applied user tagging.
With keyword tags it's been a vicious circle of poor data quality and neglect since day one. Even in documents from the early 1990s when people were really trying, the data quality is inconsistent at best.
Language that runs on the explicit design philosophy of letting other languages experiment first and then incorporating their lessons learned once the dust has settled is late to implement a feature.
It's stable to the point of boring, and there's no shortage of people who know the language and can work with it, it's got best in class tooling, decades worth of libraries almost all very mature. Most of the language's issues are from legacy code bases coded in a style that isn't really relevant to a greenfield project.
You could say that about any historically inflated valuation all the way back to the tulip mania. Either the expected profit materializes or it doesn't.
> We're already seeing signs of this strategy from Open AI and Anthropic warning about the dangers of AI and the need for safety regulations
I would read this as a desire to pause training to be able to present a profit in anticipation of the IPO. The major AI labs mad scramble to IPO is if anything a sign that they aren't at all confident in the valuation. If they were they would be no hurry to cash out.
[1] e.g. https://www.justice.gov/archives/opa/pr/permanent-injunction...
These days devices do what we ask when it benefits their real owners, and refuse to do what we ask of them when it doesn't.
It wasn't an overnight thing, but the temperature in the pot has been increasing for well over a two decades and it's getting more than a bit sweaty.
It's not like Doctorow, the EFF, and a bunch of others didn't warn us. They told us this would happen. Like exactly this.
There are places where matrix expressions are informative and helpful, but at least in the context of teaching machine learning, this isn't one of them.
The danger of vibe coded SaaS:es isn't the customer building the thing themselves, but that the increased competition drives down the profit margin.