Why do you think they would stop in their tracks every time there's a power or cell tower outage?

Yes, there have been some issues with widespread power outages causing the cars to get confused because things don't look right, but that's a bug, not expected behavior.

And although they won't have fares if they have no cell service, there's no reason to expect them to stop being able to drive. They will do whatever they normally do when they have no fare — find a place to park. Other than for learning about pickups and dropoffs, robotaxis use cellular networks only when they break down, to request remote driving assistance (i.e. relatively rarely).

Oh, yeah, I just realized that this is an expense on the Roku side, so the taxes would cancel out. Ugh.

Then yes, you're correct that there's no possible way for consolidating two businesses to save money without direct job loss, other than perhaps reducing payouts to external companies for things that they both do (e.g. accountants).

Whether Anthropic was trying to hype about Mythos / Fable or not (and FYI, it is a pretty big leap forward), they absolutely did not want to get public access shut down. The US government very much seems to want to have exclusive access to it for now.

Also, to clarify the "jailbreak": They took open source projects that had known vulnerabilities, as well as deliberately introducing vulnerabilities into some other projects, then asked Fable to fix them, and then asked for test scripts to demonstrate that the exploits could no longer be exploited - the implication being that they could then use those exploits against unpatched systems. But what's the logic here? The challenge isn't "how to write exploits against known bugs", any model can do that. The challenge is finding the bugs - something Mythos / Fable has proven better than previous models at. Even if Fable refused to write said test scripts, it would automatically downgrade to Opus 4.8, and then *Opus* would have written those test scripts. Or any other model out there could do it, including free open source ones that can be safety-abliterated at will.

It may not have been in the spec, but if it was widely known that the chip could do it, then it very well could be the case that people purchased the chip because of that, in which case the company unjustly benefitted from the widespread belief that it was supported, and is now seeking to further unjustly benefit by forcing those buyers to spend more money if they want to keep that feature.

Their failure to explicitly make clear that this was a bug and fix it in a timely manner is at least potentially an implied representation that could be subject to promissory estoppel.

In other words, they're probably doing something that violates the law, but we won't know for sure unless someone cares enough to sue over it.

Nope. You forgot the government factor:

($Fox + $Payment - (corporate_income_tax_rate * $Payment)) + ($Roku - $Payment = $Fox + $Roku - (corporate_income_tax_rate * $Payment).

So depending on what state the income is earned in, Anywhere from about 21% to about 30% of that could be going to taxes. So they could easily save $400M in taxes if that payment happens to be at least $1.3 billion or so. I doubt that's the case, of course.

The most critical skill is knowing when you're going into an AI rathole, shutting it down, and coding the relevant bits from scratch. There's nothing like wasting more time on iterative refinement than it would take to write the code by hand to sour an engineer on the use of AI.

The top 1% of the U.S. have $55 trillion dollars. The total U.S. national debt is only $38 trillion. That costs the government $1.4 trillion every year in interest alone. Leveling the playing field by capping everyone's total savings at 8 million per person would wipe out the national debt completely.

Mind you, wiping the national debt out still won't help as long as the Republicans keep overspending and undertaxing to the tune of two trillion a year, but even that should be easily fixable by more sound tax policy, coupled with laws mandating that the federal budget be revenue neutral or positive going forwards.

We've done the math. Have you?

I assume you're saying Pro is massively better for your workload. IMO, thinking is either good or bad, depending on whether it moves you closer to or farther away from correctness.

For example, I've seen certain types of workload (e.g. anything involving image recognition or image segmentation) be massively better with Flash, because Pro overthinks things and ends up changing perfectly correct answers to be wrong, either by coming up with creative ways to misinterpret the prompt or by screwing up the JSON image segmentation fragment so that it can no longer be parsed.

And I've also found that LLMs struggle to understand existing terms in a different context that they weren't trained on. As a result, I've had to substitute nonsense terms in place of terms based on common English words and phrases so that it won't ignore my definitions of those phrases in context and substitute its own understanding of their meaning and give incorrect results. The more thinking you allow, the more likely it is for that to occur.

Is only half of women being able to read at all really the counterargument you were trying to make here?

And we're just talking the most basic aspect of an educational system. Kids today learn to read early in grade school.

ED: EEG, not fMRI.

And again, that's not to imply that they have any particular "mastery" in this specific case. Obviously, if they just typed "write the essay for me" into ChatGPT and submitted it without reading it, then they're not going to have learned much of anything from that. The question is, however, what did they do with their time instead? Because their brain was learning that instead.

The correllary to "use it or lose it" is that the brain isn't just going idle, it's refocusing its efforts on other things that you are "using" instead.

The average person today could hardly identify all the wild edible plants in their area, change a horseshoe, or build a proper barn, like their ancestors hundreds of years ago could.

By contrast, their ancestors hundreds of years ago probably couldn't read.

Brains don't just go idle; they just refocus on different things. A wealthy Victorian often pursued a life of a polymath, seeking varied intellectual pursuits and sometimes making great discoveries, but they could probably scarcely tell you how to mend a shoe or even change a nappy - that was their servants job.

Also, it's quite the spin to present low MRI activity as "reduced function". It's commonly literally the opposite. If you present a novice with a task they're not used to, and an expert with the same task, the expert will tend to show much less activity than the novice, as the novice has to think harder to accomplish it, whereas it's become rote for the expert. Low activation on a task is commonly a sign of cognitive efficiency.

Not only do we have the concept of a plan for negotiations for a peace agreement; the current level of disagreement between the agreeing parties suggests that we actually have at least three distinct concepts of a plan for negotiations for a peace agreement! Where a lesser leader might myopically interpret having a single agreed-upon set of terms as essential to a treaty; Great Leader understands that American Greatness requires more.

This isnt a one to one correlation, I was using another example of something that has little change to lives if its real or not.

Yes, you're the second person to point out the typo, which would have been edited within seconds of me clicking "submit" if we had an edit button.

Dreaming is always a great thing. Sci-Fi has given us versions of what we see now. Most referenced is Star Trek from the 1960s. how much of that is real now in some form or another?

Who cares if he believes it, just like who cares if people believe in their religion. it doesnt matter, as long as you dream of a better future and world.