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``European blue-chip firms sell products that are improved versions of what they sold in the 20th century -- turbines, shampoos, vaccines, jetliners. American star firms peddle AI chatbots, cloud computers, reusable rockets. Nvidia is worth more than the European Union's 20 biggest listed firms combined. Microsoft, Google, and Meta each fired over 10,000 staff in recent years despite thriving businesses.''

Perversely, Wall Street rewards those companies that lay off employees by the thousands. Not so much those stable companies that make more improved products but may only have modest growth and increasing profitability. That used to be rewarded. (IMHO, a company that has to resort to laying off a thousand here and a thousand there are being mismanaged.)

The motherboard is the second level of defense. The case is the third. The rack is the fourth, the cage is the fifth. The armed guard is the sixth.

Physical attacks are readily mitigated by those with the will.

If you need trigger warnings you need to be in therapy.

If you want to avoid certain content you can do research on it and avoid it.

If you're avoiding your trauma and expecting the rest of the world to conform to your avoidance strategy you need therapy.

Story from a few years ago was someone in a history course wanting to avoid discussion/essay on a particular topic due to PTSD; he went to the professor and worked out an alternative that was quite reasonable.

You know who doesn't do that? The trigger warning group. They want to use avoidance strategies that pretend issues don't exist.

If you're in treatment and utilizing trigger warnings - great.

If you're not in treatment and you're relying on trigger warnings you need to seek expert level therapy now.

Guess whos usually the ines complaining about the lack of trigger warnings... hint, it isnt the first group.

if you need trigger warnings the first question to ask:

Are you being treated for your trauma? If not, the trigger warning is useless to you as it only encourages avoidance behavior if you're relying on it anyway.

There are some narrow circumstances where I think they're relevant to everybody, but their prevalence diminishes that and results in exactly what this paper points out.

I use TV ratings to determine if something is of interest sometimes. Sex? Yes. Violence? Yes. Etc. often times shows without any of them are just simply boring.

If they haven't cancelled him yet; there's no reason to cancel AI.

The response to writers complaining about AI and destroying the industry is simple.

James Patterson.

No.

Consist deviated under the two circumstances is pretty well studied. A substantial number of readings in a doctors office are high. Within certain margins it's accounted for, obviously there are people that exhibit the effect more than others.

But taking blood pressure correctly is generally not difficult, can be readily trained for and if necessary can be demonstrated easily by both parties.

Getting results which are consistent, wrong, but approximately in the correct range is actually quite hard.

ML has always been a category of AI.

I've got books from decades ago referencing ML as The AI category's biggest wins.

Also, using AI to train a model for categorization of data has been with us since the 80s. Its effectiveness has increased of course.

``a supernova explosion so bright it'll be visible from Earth even in the daytime''

Which hemisphere? Northern or Southern?

Terms of service aren't much of a concern here. Honestly, completely irrelevant unless OpenAI opens up 30,000 streams at once.

Terms of service have little value in court when it comes to scraping of content that doesn't cause issues with the service itself. Contract violation with near zero repercussions.

This type of thing is actually very hard to test without introducing your own bias.

It's fun watching people when they introduce their own bias and then claim it's the system.

... though not exclusively. There are cases where making the choice between Perl and Python still has me leaning toward Perl. Perl was my first (non shell) interpreted language and it still feels like a comfortable pair of slippers.

I had to modify a Perl script written back in 2010 when the Govt recently decided to change the format of data I was reading via Perl. It took longer to figure out the change in the data than it did to modify the 15 year old Perl script.

Python is fine -- I really like the ArgumentParser module and a few others -- but going back to make changes to an old Python script is more painful than it is for a similarly aged Perl script. What helps when I have to deal with Python is using Code with some plugins that make the indentation more obvious (esp. Blockman).

The level found is largely irrelevant.

You might not want it, and as policy it's great to get them out of the supply chain; but at these concentrations a lifetime of heavy drinking will increase your risk of dying by bicycle (as a pedestrian) higher than the increase risk from this source.