Maybe, but only if you assume that the intent is to share that video with others or whatever.

On the flip side, I can think of a lot of useful reasons to do so, mostly involving use of large amounts of AI to go back and process the data. Imagine losing something and being able to ask, "Where is this," and getting an answer about where you left it. Imagine being able to say, "Was [insert person] part of the conversation where I said [insert subject]" and getting an answer. The potential impact of always-on recording for assisting with memory recall is enormous, assuming adequate storage and processing power.

Also, it completely solves the "You look familiar" problem, both in the "Did I meet this person?" sense and in the "What is his/her name?" sense.

Nope. Not true. You can't use it commercially, but the definition of commercial use excludes a lot of things that you might think are commercial, e.g. any form of artwork, book covers, Facebook posting, etc.

This doesn't give you the right to record someone who has asked you not to record them, though, especially if there is audio and it is a two-party consent state. And if you are deliberately confronting someone in public who asks you not to record them, it could also run afoul of harassment laws.

I have an even more radical proposal. Roll back copyright duration to 28 years, but only for works for hire.

• Works of corporate authorship (movies, etc.): 14 +14 (renewal required).
• Works of individual authorship: 50 years or the life of the author, whichever is longer.

This strikes a balance that acknowledges individuals' lower ability to earn money off of a work, and ensures that individuals are able to continue benefitting from their works for the rest of their lives, while still ensuring that musical works written when my long-deceased grandparents were children are no longer locked away where no one can perform them without expensive licensing and ensuring that people who never contributed anything towards the works' creation (e.g. the grandchildren of a composer, author, or artist) don't get to live off of other people's work for the rest of their lives.

It was broken long before that. Minivans have always been treated as light trucks despite not being trucks in any meaningful sense of the word, and industry interference has prevented light truck standards from keeping up with technological improvements.

As long as we have such a culture of regulatory capture, I don't think these sorts of standards are ever going to do what they are intended to do.

Are there states that don't allow that? I know Tennessee and California both do, though the latter is somewhat more problematic because of emissions control laws.

The "at your own peril" thing is a lot easier to justify when you have high situational awareness because of absolutely no expectation of safety in a low-speed collision (bicycle) than when you do have that expectation (vehicle with a roll cage).

Also, bicycles can't rapidly accelerate, are very small, and generally can't get very fast at all, so they are quick to pass compared with something the size and speed of a low-speed car. This reduces the risk of them causing accidents significantly (both with the bicycle and with oncoming vehicles).

In general, the assumption is that if it looks like a car, it should act like one. When that assumption is violated, bad things happen.

America's pedestrian accident rate is increasing primarily because of pedestrian distraction, not because cars are getting less safe. The fatality rate could be caused by cars getting less safe, but not the rate of accidents, except to the limited extent that touchscreens make driving harder.

If you really want pedestrian accidents to stop happening, you need to do three things:

• Mandate that all intersections have a separate pedestrian cycle with a button to activate it or camera-based pedestrian detection.
• Mandate that all intersections have appropriate light control over right turns on red, such that they are not allowed during the pedestrian cycle.
• Strictly enforce this for both drivers and pedestrians for the first few months, ticketing both pedestrians and drivers when they enter an intersection at the wrong time.

This ensures that A. cars don't have to wait for pedestrians that don't exist, B. cars have to wait for pedestrians only once even if the pedestrians are crossing in multiple directions, and C. no cars are in the intersection at the same time as pedestrians.

It improves road throughput for both pedestrians and drivers *and* makes the intersections safer. There's not much downside to this.

Yeah, it's not even worth considering for something like 15-20kg. A full pallet in this case is 464kg :) Years worth of supply for me.

The current "AI" is a predictive engine.

And *you* are a predictive engine as well; prediction is where the error metric for learning comes from. (I removed the word "search" from both because neither work by "search". Neither you nor LLMs are databases)

It looks at something and analyzes what it thinks the result should be.

And that's not AI why?

AI is, and has always been, the field of tasks that are traditionally hard for computers but easy for humans. There is no question that these are a massive leap forward in AI, as it has always been defined.

It is absolutely crazy that we are all very very soon going to lose access to electricity

Calm down. Total AI power consumption (all forms of AL, both training and inference) for 2025 will be in the ballpark of 50-60TWh. Video gaming consumes about 350TWh/year, and growing. The world consumes ~25000 TWh/yr in electricity. And electricity is only 1/5th of global energy consumption.

AI datacentres are certainly a big deal to the local grid where they're located - in the same way that any major industry is a big deal where it's located. But "big at a local scale" is not the same thing as "big at a global scale." Just across the fjord from me there's an aluminum smelter that uses half a gigawatt of power. Such is industry.

That "ruler study" was ancient. It's mentioned in peer review at least as early as 2018, and might be even older.

Believe it or not, people in the field are familiar with these sorts of things that you just read about.

Most of these new AI tools have gained their new levels of performance by incorporating Transformers in some form or another, in part or in whole. Transformers is the backend of LLMs.

Even in cases where Transformers isn't used these days, often it's imitated. For example, the top leaderboards in vision models are a mix of ViTs (Vision Transformers) and hybrids (CNN + transformers), but there are still some "pure CNNs" that are high up. But the best performing "pure CNNs" these days use techniques modeled after what Transformers is doing, e.g. filtering data with an equivalent of attention and the like.

The simple fact is that what enabled LLMs is enabling most of this other stuff too.

Jevons Intensifies

I thought the garage was where people put their guest bedroom. :-)

Not entirely correct. It is the only *active* pad with that infrastructure. There are decommissioned pads that have been used for manned missions in the past. What state they are currently in is an unknown, but it has been speculated that equipment could be salvaged from them to repair the damaged pad.

I've done my first test of buying a whole pallet of filament straight from a Chinese manufacturer. It's a risk - it could be all junk - but if it's usable, the price advantage is insane. Like $3/kg for PETG at the factory gate (like $5/kg after sea freight and our 24% VAT). Versus local stores which sell for like $30/kg.