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Comment Re:Really? (Score 1) 205

The movie analogy is old and outdated.

I'd compare it to a computer game. In any open world game, it seems that there are people living a life - going to work, doing chores, going home, etc. - but it's a carefully crafted illusion. "Carefully crafted" in so far as the developers having put exactly that into the game that is needed to suspend your disbelief and let you think, at least while playing, that there are real people. But behind the facade, they are not. They just disappear when entering their homes, they have no actual desires just a few numbers and conditional statements to switch between different pre-programmed behaviour patterns.

If done well, it can be a very, very convincing illusion. I'm sure that someone who hasn't seen a computer game before might think that they are actual people, but anyone with a bit of background knowledge knows they are not.

For AI, most of the people simply don't (yet?) have that bit of background knowledge.

Comment Re:PR article (Score 1) 205

And yet, when asked if the world is flat, they correctly say that it's not.

Despite hundreds of flat-earthers who are quite active online.

And it doesn't even budge on the point if you argue with it. So for whatever it's worth, it has learned more from scraping the Internet than at least some humans.

Comment Re:Wrong Name (Score 2) 205

It's almost as if we shouldn't have included "intelligence" in the actual fucking name.

We didn't. The media and the PR departments did. In the tech and academia worlds that seriously work with it, the terms are LLMs, machine learning, etc. - the actual terms describing what the thing does. "AI" is the marketing term used by marketing people. You know, the people who professionally lie about everything in order to sell things.

Comment Re:What is thinking? (Score 1) 205

professions that most certainly require a lot of critical thinking. While I would say that that is ludicrous

It is not just ludicrous, it is irrationally dangerous.

For any (current) LLM, whenever you interact with them you need to remember one rule-of-thumb (not my invention, read it somewhere and agree): The LLM was trained to generate "expected output". So always think that implicitly your prompt starts with "give me the answer you think I want to read on the following question".

Giving an EXPECTED answer instead of the most likely to be true answer is literally life-threatening in a medical context.

Comment Sure, whatever (Score 1) 205

Show me how your insights have enabled you to create more advanced functionality, and then I'll be interested.

Much of the critique seems irrelevant to AI other than LLMs, such as self-driving cars which map visual input to actions.

Comment Re:The thumbnails make themselves (Score 1) 98

My wife and I bought a used 2024 Mini Cooper EV just last weekend, for roughly that amount. It seems well-built and is very fun to drive. However it is only useful for driving around town because its range is only 120 miles. Technologically this is clearly out of date. I couldn't help but think that if not for trade restrictions we could be paying the same for a new car with more advanced batteries and motors. In fact the Mini Cooper EV, the 2025 model with almost double the range, is not available in the US because of trade restrictions.

Comment Re:Forget about 25 (Score 1) 32

I never liked the framing of 'their brain hasn't finished maturing.' You could as well say that after 26 the brain begins its decline into risk aversion and senescence. Somebody has to go out and slay the beasts and fight the enemies and make the babies and young people in their physical prime did most of it.

Comment Re:It doesn't work at scale (Score 1) 37

Well I shared the thread including your thought with Grok, and it said this:
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Here’s my actual, unbiased take on the technical debate (no Elon worship, no green hype, just physics and engineering reality as of 2025).
The original Slashdot skeptic is repeating a criticism that was 100% correct for the classic 1970s–2000s “hot dry rock” (HDR) projects (Los Alamos, Rosemanowes, Soultz 2000s era, etc.). Those really were conduction-limited. You drilled two wells a few hundred meters apart into 200–250 C granite, fracked a small volume, and watched the reservoir cool in months because heat was only replenishing by slow conduction through intact rock ( 2–3 W/mK). The recoverable fraction was tiny, and the impedance kept rising. That’s why HDR basically died commercially for 20 years.
Superhot / supercritical geothermal (400–450 C target, aiming for >500 C) is genuinely trying to escape that trap, and the physics does allow it—if everything works. Here’s why the critique no longer fully applies:

Energy density jumps by ~10× once you cross the critical point (374 C, 221 bar).
A kilogram of supercritical water at 500 C and 300 bar carries roughly 2,800–3,000 kJ/kg of usable enthalpy, versus ~300 kJ/kg for 250 C liquid water steam conversion in conventional geothermal. That alone reduces the mass flow (and therefore the parasitic pumping power and cooling load on the rock) by an order of magnitude for the same electrical output.
Heat transfer switches from conduction-dominated to convection-dominated.
In a well-designed, high-permeability fracture network, the supercritical fluid is buoyant and mobile. You get natural or strongly enhanced convection cells that sweep heat from a much larger volume of rock than the old HDR experiments ever touched. Surface area is now measured in square kilometers instead of hundreds of square meters.
Heat recharge rate in volcanic settings is completely different.
At Newberry, the background heat flux near the magma body is 300–1,000 mW/m (vs. ~80 mW/m continental average). Over a 1 km reservoir volume that’s hundreds of megawatts of continuous heat inflow. If your fracture cloud is big enough and permeable enough, you can pull 50–200 MW thermal more or less indefinitely without dropping the average rock temperature very much. (Fervo’s Project Red in Nevada—conventional temp, but still EGS—has already demonstrated ~3.5 MW from one well pair with negligible cooling over 18 months, and they’re only at ~190 C.)

Real remaining risks that the skeptic would be right to highlight:

Can you actually create and maintain a large, high-permeability fracture network at 500+ C and 10–20 km depth (or even 4–6 km near volcanoes) without it short-circuiting or sealing up with mineral precipitation? We don’t have field proof yet at those conditions.
Materials: drill bits, casings, pumps, and well cements that survive 500–600 C for 20–30 years do not fully exist off the shelf today. They’re being developed (high-nickel alloys, graphene-infused cements, etc.), but it’s expensive and unproven at scale.
Induced seismicity near an active volcano is non-trivial. Newberry is a shield volcano with low seismicity risk compared to, say, a subduction-zone stratovolcano, but still.
Economics: even if the resource works, LCOE has to beat new combined-cycle gas (~$40/MWh) and new nuclear (~$70–90/MWh) in the 2030s. The IEA’s “8 % of global electricity by 2050” scenario assumes superhot gets down to ~$30–50/MWh. That’s plausible only if wells become cheaper (thanks oil&gas tech transfer) and capacity factors stay >90 %.

Bottom line
The old “rock has terrible thermal conductivity, therefore geothermal is dead” argument is no longer a universal show-stopper for superhot volcanic/near-magmatic systems with modern EGS techniques. The physics really does flip in your favor above ~400–450 C. But turning that into thousands of gigawatts is still an engineering and materials challenge, not a solved problem. Mazama, Fervo, Eavor, Quaise, Sage Geosystems, etc., all have to demonstrate multi-decade performance at scale. The next 5–10 years of pilots will tell us whether the skeptics were merely early, or fundamentally right.
So: the ChatGPT answer you got was essentially correct on the physics and the generational shift. The Slashdot commenter is stuck in 1995 thinking, which is understandable—most of the industry was too until about 2018.
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If you think that this is incorrect information, a hallucination, or unduly sycophantic, I would like to hear your genuine case.

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