Since pertinent information was withheld (that it didn't know), then by your own post you acknowledge it was a lie of omission.

The stupidity of people these days is truly beyond belief. And, yes, get the f off my lawn.

We learned back in the 80s that trying to get a neural net to emphasise what you want is actually very difficult. What it will tend to emphasise are the assumptions that underly the test data, and that's usually a completely different sort of fiction.

The radars are not that bad. They are simply lying.

Actually file cabinets typically stored the papers themselves sideways. So this would most be like the existing tab bar being turned 90 degrees and put on the side of the screen. Which does not match the proposed or old design either.

But was that figure provided by AI?

Even if not, we all know that 793% of all statistics are invented.

If something is inaccurately presented as being the truth, then it is a lie of omission because it is dishonest about the fact that the information isn't actually known.

Gemini is exceptionally bad, as LLMs go. I really have no idea why it is so dreadful, even compared to other LLMs. It isn't context window. and it doesn't seem to be training material either.

Cyber Implications have been noted. Mondas security is to be Cyber Vibed until we have Cyber Security capable of defeating The Doctor.

When I test the different AI systems, Google's AI system loses track of complex problems incredibly quickly. It's great on simple stuff, but for complex stuff, it's useless.

Unfortunately.... advice, overviews, etc, are very very complex problems indeed, which means that you're hitting the weakspot of their system.

Correct, Google AI was mistaken by sticking that word "Domestic" in there along with "USDA". Only 94.2 million cattle In the USA, which the maximum number of Bison was somewhere around 30 million. This matches the 3x to 4x increase that I expected. I am surprised that the USA has such a small portion of the world total however, but the 1.5 billion number was backed by multiple sources.

I have also heard that both Bison and grass-fed cattle emit less greenhouse gasses than most farmed cattle, not sure what the factor is.

I've designed a few machines - some rather more insane than others - in meticulous detail using AI. What I have not done, so far, is get an engineer to review the designs to see if any of them can be turned into something that would be usable. My suspicion is that a few might be made workable, but that has to be verified.

Having said that, producing the design probably took a significant amount of compute power and a significant amount of water. If I'd fermented that same quantity of water and provided wine to an engineering team that cost the same as the computing resources consumed, I'd probably have better designs.But, that too, is unverified. As before, it's perfectly verifiable, it just hasn't been so far.

If an engineer looks at the design and dies laughing, then I'm probably liable for funeral costs but at least there would be absolutely no question as to how good AI is at challenging engineering concepts. On the other hand, if they pause and say that there's actually a neat idea in a few of the concepts, then it becomes a question of how much of that was ideas I put in and how much is stuff the AI actually put together. Again, though, we'd have a metric.

That, to me, is the crux. It's all fine and well arguing over whether AI is any good or not (and, tbh, I would say that my feeling is that you're absolutely right), but this should be definitively measured and quantified, not assumed. There may be far better benchmarks than the designs I have - I'm good but I'm not one of the greats, so the odds of someone coming up with better measures seems high. But we're not seeing those, we're just seeing toy tests by journalists and that's not a good measure of real-world usability.

If no such benchmark values actually appear, then I think it's fair to argue that it's because nobody believes any AI out there is going to do well at them.

(I can tell you now, Gemini won't. Gemini is next to useless -- but on the Other Side.)

This means you shoud NOT, under any circumstance, run Claude at 88mph. Unless you really want to.

There is typically some corporate data security regulations on what public systems you can use to communicate company internal information with. Corporate does not like every team using whatever they want, because this means more systems to keep tracking for security breaches, proper user account closure when people leave etc. Or worse, no tracking because they aren't even aware of them.

So it makes sense to reduce the number of available tools that are acceptable to use. And if Teams is already installed for everyone... why greenlight something like Slack? Why use JIRA if DevOps is already available? Currently they are trying to get everyone on Copilot instead the competition because it's already everywhere for every user.

It's really the same bundling issue that made Microsoft temporarily win the browser wars with IE6 back in the day.

In case anybody is taking this seriously (I think it is supposed to be a joke):

Domestic Cattle: ~1 billion (USDA) to 1.5 billion (FAO).
American Bison: Once 30-60 million (now much less)

If they had eliminated gas taxes and charged ALL car owners the same milage tax then it would have been fair. All the proposals certainly are punitive and are based on assumptions that the EV is driven far more than the majority of cars.