Art in general, and things like massage, meaningful conversation, sex, etc. Quality human connection will be the last things that AI's will gain sufficient ability to replace.
I think Bladerunner 2049 explores what I think will be the key: for some reason authenticity matters to humans and even if the emulation is indistinguishable, people value the real thing.
Your intuition is more correct: it is not true. The relative humidity of the air matters below 100% as well. I think the parent commenter mistakenly assumed that only "condensation" matters, but materials will absorb moisture from the air even if the water doesn't condense. Entropy drives the dispersion of moisture, and some materials are "hygroscopic", meaning they don't merely reach equilibrium with the air, but actually concentrate moisture from the air and get significantly more wet than the air which feeds it water.
It looks like if they reject paying you any bounty you would you still be bound by the NDA. If so, then they could both not pay you and still spike the story. That’s not something I would ever agree to.
Will they? The NDA makes it so if they don't, we'd never know. Bug bounty programs suck but they're better than the alternative, but even running one openly, there's always convention about whether the bugs being submitted are real or not, with a lot of low quality reports that the submitter thinks are gold. That happens out in the open. Now add an NDA into the mix. Sam's reputation doesn't even have to enter into the equation for it to be a bad deal.
I imagine that would be found in the associated paper, but I’m not sure if it’s been published yet. I’m having trouble finding it.
Parent Paper: Baetzel, J. (2026). Statistical Characterization of Inter-Channel Redundancy Structure in the Kodak Lossless True Color Image Suite. Per-Image Principal Component Decomposition of PCD0992.
Yep, I've found Gemini to be the best LLM at most tasks that are not coding. Sometimes Opus wins for engineering, but Gemini holds its own there as well. I also used Gemini to assist me with understanding the details of my (pre-revenue) C-Corp taxes this year. It did a pretty good job walking me through each question I had and raising concern about things I might have overlooked. I validated everything against reliable sources, of course.
Gemini missed on some nuances about the paperwork processes of Delaware. Gemini repeatedly assumed I could do something instantly via an online portal that actually required either snail-mail or the use of an intermediate who actually had API access to Delaware's systems. In the end, these processes took a couple days, and while I got things done in time, I wish I had not taken questions of process at face value, and instead wish I had kicked off the taxes at the end of February rather than week before they were due.
Many cities/towns in the USA have small power plants in them (typically associated with a University, large hospital system, or central business district) which "sell" not just power, but also hot water, and steam. The steam is typically used to heat buildings. Google for "$CITY steam tunnels" or "$CITY CHP plant" to find these in your area.
San Francisco has[0][1][2][3] at least five combined heat and power plants that generate electricity and also sell steam to neighboring buildings via 72,000 feet of pipes.
I worked at a privately-owned for-profit "factory" in Santa Monica whose primary product was chilled water (their other product was warm water). They built pipelines to nearby large buildings and sold chilled water to them.
My favorite video that walks through fusion energy design/sizing/cost equations is also a lecture by Dennis Whyte: https://youtu.be/KkpqA8yG9T4?si=U8xaAAvjdnt6yqr8 It’s a really engaging lecture - I’m normally pretty put off by 100-minute lectures on YouTube but this one was both very easy to follow and perfectly scoped. Can highly recommend it - the learnings from it are timeless fundamentals that really make fusion power design and economics accessible.
The big takeaway is that better magnets reduce reactor size by the 4th power, and energy output and cost by the cubed power. Finding a material for the magnets which doubles their strength would reduce the size of the reactor by 94% and the cost by 88%.
A possible conclusion one could make is that with regular advancements in magnets it’s very possible that the first operational commercial fusion reactors will be relatively low-cost compared to current and planned fusion reactors, and even though they may begin construction after the next generation of super-sized fusion reactors - they might be finished and operational before their “predecessors” with inferior magnets have completed being built.
Some Sci Fi authors have made the point that the first interstellar space ship is likely to be greeted at their destination star by human immigration control officers boggling at their long superseded sublight ship.
This is also one of the reasons ITER is such as bad project. It's so big, slow, and had to be planned so far ahead that it "locked in" older superconducting tape technology that has been superseded.
How would AI help achieve commercial fusion? You first need to identify the blockers. These almost all entirely boil down to "how do we precision machine large pieces of hard metal?", "how do we assemble facilities with untold process channels?", "how do we capture neutrons without making a prohibitively massive machine?", and "how do we make metal that doesn't melt?".
Now, AI might have a chance at supercharging material research and making miracle materials that help address the blanket and first wall challenges, but honestly those are roadblocks we're not even running into yet. AI can not and will not fix issues related to organizing labor and supply chains and suddenly make megaprojects have a 100% success rate for on-time and on-budget. It's just not going to happen.
So are these problems intractable? Of course not. It's just not what the chatbot is well suited for. Anyone saying otherwise is selling something.
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