I think after this moronic attack, they now know they don't actually need nukes, at least not until the world loses its appetite for oil, or finds other sources that make Gulf state production irrelevant.

Naw. I bought one of these Neo Macs last month.

It was a gift for my Mom who's still using a 2013 Macbook.

I'd been looking into used M1 Macs for under $500 and the chance to get a warranty new Mac, that sold me.

Also, even if this fallacious claim were true, it wouldn't actually support Arrogant-Bastard's claim, which wasn't about the state of AI now, but a claim about "intrinsic properties", meaning it would be true forever.

Nonsense. LLMs point out my mistakes all the time. And I point out theirs. At this point there's more of the latter than the former, but both absolutely happen all the time.

Not as much as you might think. Definitely not as much as at most companies.

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.

I think it depends less on workflow and more on screen layout. If you run your browser maximized on a landscape-mode display, there's a lot of horizontal real estate that isn't very well-used, while vertical space is at a premium. So it makes sense to move tabs to the side.

On the other hand, if you don't maximize your window but keep it as narrow as possible (so you can see other windows) but just wide enough that sites render well, then you'll probably prefer them on top.

On the gripping hand, if you're like me and run your browser full-screen on a portrait mode screen, then you have gobs of vertical real-estate and tabs on top definitely makes sense.

(I have three monitors, a 32" (landscape) in the center, which is where my IDE, editors, and "focused" work lives, and a 27" portrait orientation monitor on each side. The left one has a full-screen browser window for work stuff and the right one has a full-screen browser window for personal stuff. It's fantastic.)

Mmmm.... if anything it's "what the Google engineers want emphasized". Executives at Google have surprisingly little control over technical decisions. For nearly all of Google's existence it's been an almost completely bottom-up driven company and while in the last few years management has been trying to exert more control it's a very, very slow process.

It's actually the engineering-driven culture that produces Google's infamous tendency to abandon products. Stuff gets built because some engineers think it's a good idea and convince their managers to let them run with it. Then eventually it gets boring and engineers tend to wander off to other teams in search of something interesting. If the product has managed to achieve significant userbase and/or revenue stream (and keep in mind that both are measured on Google scales; so anything less than 100M users or $1B/year is "not signficant").

In a top-down company products don't get built until they have significant executive support, which requires a fairly detailed plan, which gets executed and adjusted, and if an exec's project is in trouble it will get support. At Google products kind of wander out the door and into the world and if they happen to be a hit, great, if not, well, unless there are legally-binding contracts obligating the company to support something, it just gets shut down. Even with the projects that the executive leadership are really excited about (like AI!), their influence is mostly limited to shoveling resources at it.

Anyway, the point is that execs likely have little to no influence on Gemini training beyond setting very broad guidelines, and even those might not have much effect.

That's a strong statement. Can you explain why that isn't also true of human brains? What's the intrinsic difference?

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.