It should change slightly, I think. It should now include questions to filter out idiots who believe what this Anthropic loon just stated.

Yes, but not for you and me. Graphics designers have been using stylus-displays for years and years, because it's great to draw on the thing you are making instead of drawing on a different surface like a Wacom.

But I'm like you, I don't have a use case for a touchscreen and if you touch my notebook screen I'll be angry because I prefer it without fingerprints, thanks. So my first question is: Do they offer this thing with OLED but without touch? I guess not. Pity.

I've been slowly moving towards my dream setup: Solar panels, battery, EV car, island mode capability. This is one thing that'd be a factor in my buying decision. Using your car as a battery or secondary battery is a big plus, and if they built the necessary equipment to run independent of the power grid, it'd come in a neat package.

While power failures are rare where I live, I expect them to become more common with the move to renewable energies. I support that, but it's more fragile than constantly running power stations. So being able to run your home at least for a few hours on your own energy is something that I consider a good idea.

Darn vague memory but - Yes. Keypunch machinesâ"such as the IBM 026, IBM 029, and IBM 129â"allowed operators to duplicate an existing card up to a specific column to correct errors or edit data without re-entering the entire 80-column sequence.

You missed the point.

A friend of mine made a tea-timer app for the iPhone. Where you enter what tea you are making and it sets the correct number of minutes. Today, people would ask ChatGPT before they go on the App Store to search for something like that. That's the point. Not what YOU would do, but what the general public does. And for Jane Doe, ChatGPT has replaced a lot of these specialty apps.

Skills are great until they aren't. The problem is exactly what you say: You can literally create a skill by telling the LLM to create a skill. Which is... why the f do I need to make a skill if the AI already knows how to do it?

Properly created skills, that include reference material, specific instructions, and expert knowledge the LLM doesn't have or that's buried somewhere under 10 layers of reddit posts is genuinely useful. But most skills aren't. I'm constantly underwhelmed by hyped-up skills that, when I look at them, turn out to be bland, basic instructions.

Ignore network traffic until security self-defenses are in place.

Yeah, you can have a buffer overflow anytime, and they can be bad, but the situation explicitly pointed out an "invaders not recognized as evil before armed guards are posted" situation.

If this had been a bad buffer overflow that occurred AFTER the defenses were in place, maybe it would've resulted in a compromise, or maybe the defenses would've rendered it ineffective.

... the machine can be affected by outside input before it's security/self-defense system is ready?

Oops.

"Of every 2 million sold, less than 1 million are affected!"

While this is true, being the subject of an experiment to see what happens when you do that is not something most people would choose for themselves. It's not *irrational* to be concerned. Absence of evidence on a largely unexplored question like microplastic infiltration in human bodies is not the moral equivalent of absence of evidence in an extensively studied question like a vaccine-autism link.

If - and this is a big if - Anthropic becomes and stays the industry-leader in LLMs AND if - and this is the second big if - the LLM/AI industry as a whole grows way faster than the rest of the economy - then Anthropic's stock appreciation will likely well-outpace the LLM/AI sector and the market as a whole.

That's the "big reward." The odds of that happening with Anthropic or any other particular AI/LLM company, or any AI/LLM company at all for that matter? Not big enough for me to want to play.

It's high-risk, high-reward, much like dot-coms of the 1990s.

There's also the "known unknowns" of regulatory risks both on the "what will AI be allowed to do" front and the regulations on power-hungry AI data centers themselves. We know these are categories of risks, but we don't have a good handle on how likely any given outcome will be 5 years from now. What are the odds that in 2031 America will be like "you want a data center here? Oh sure, no problem" vs. "you want a data center here? Not In My Backyard!" Once the regulatory environments stabilize it will be much easier to price this into "how much am I willing to pay for a given AI company's stock."

Right now, betting on an AI company's success 5 years down the road feels too much like betting on next year's World Series when we don't even know what the MLB Players Union contract will look like, or if there will even be a season next year.

While it's true every issue has its own dimension, even if those dimensions are linearly independent, they're not necessarily orthogonal. Independent basis vectors can still have a non-zero dot product—in other words, issues which are distinct from each other can align to some degree.

You or the person you are replying to may not need a human editor, but here are people whose grammar or spelling is so bad they could really benefit from an editor, human or otherwise.

There are also people whose first language is not English, or who are from a part of the world where English is spoken or written in a different style or dialect than Slashdot and they want their posts to not stick out like a sore thumb.

But again that's backwards. I let my AI coding assistant write tests exactly so that I have a reproducible, deterministic ground truth that I can inspect for logic errors. If you let the AI do the testing directly, it's a toss-up if today it feels like it or it decides that your desired result is "everything green" so it'll just give you that answer without actually testing anything.