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jetrink

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GPT-5.5 3 months ago

I feel like if I attempted this, the bike frame would look fine and everything else would be completely unrecognizable. After all, a basic bike frame is just straight lines arranged in a fairly simple shape. It's really surprising that models find it so difficult, but they can make a pelican with panache.

Hilariously (and appropriately), the decision cites Sony Corp. of America v. Universal City Studios, Inc., also known as the "Betamax case."

(a) “The Copyright Act does not expressly render anyone liable for infringement committed by another.” Sony Corp. of America v. Universal City Studios, Inc., 464 U.S. 417, 434.

In Sony, copyright owners sued the maker and the retailers of the Betamax video tape recorder. Id., at 422. The tape recorder could be used to record copyrighted television programs for later personal viewing, which would not constitute infringement. Id., at 449. On the other hand, it could also be used to reproduce and sell copyrighted television programming, which would constitute infringement. Ibid. The lower court found the Betamax maker liable because the tape recorder was “not suitable for any substantial noninfringing use” and infringement “was either the most conspicuous use or the major use of the Betamax product.” Id., at 428 (internal quotation marks omitted). This Court reversed, concluding that “[t]he Betamax is . . . capable of substantial noninfringing uses”—like personal use—so “sale of such equipment to the general public does not constitute contributory infringement.” Id., at 456.

It could create the right sort of incentives though. If I'm a junior and I suddenly have to take my work to a senior every time I use AI, I'm going to be much more selective about how I use it and much more careful when I do use it. AI is dangerous because it is so frictionless and this is a way to add friction.

Maybe I don't have the correct mental model for how the typical junior engineer thinks though. I never wanted to bug senior people and make demands on their time if I could help it.

their groceries won’t make it to the stores and packages won’t get to their homes without a robust road network.

A road network isn't the only solution. In the early 20th century, for example, there was a separate narrow-gauge tunnel network beneath Chicago dedicated to freight. Deliveries were made directly to businesses via subbasements or elevator shafts. The network had stations at rail and ship terminals for accepting freight arriving from outside the city. At its height in 1929, the network had 150 locomotives pulling 10 to 15 cars per train.

1. https://en.wikipedia.org/wiki/Chicago_Tunnel_Company

Did the average person throughout history have more leisure than we do? I doubt it.

Recent anthropological and archaeological research is challenging the traditional view that ancient lives were "nasty, brutish, and short." Instead, it appears that many ancient peoples worked less than eight hours per day and frequently took time off for festivals or to travel long distances to visit friends and family. And unlike today, work usually had a more flexible rhythm where short periods of hard work were separated by long periods of light work and rest.

Since this is generating revenue for NYC, you can't consider whether this tax is good or bad in a vacuum though. The alternatives are a different tax with its own effects, or more debt, or less spending. (In this case, the revenue goes to the MTA.) Any opportunity costs due to less traffic are at least partially offset by opportunity costs you aren't having to pay somewhere else.

Also, many of the posts seemed intended to be humorous and satirical, rather than merely 'futury.' They made me laugh anyway.

Google kills Gemini Cloud Services

Running LLaMA-12 7B on a contact lens with WASM

Is it time to rewrite sudo in Zig?

Show HN: A text editor that doesn't use AI

I heard one of the founders interviewed on the Hard Fork podcast[1] (which confusingly is primarily concerned with AI, rather than crypto.) I went in with very negative expectations, but came away with a positive impression and optimism that they might be onto something. As you say, AI is not core to the project. Instead, the focus is on using technology to facilitate individualized learning. It is true that teachers are 'replaced', but by humans whose job it is to keep the students focused and motivated, rather than to convey information.

1. https://www.nytimes.com/2025/09/05/podcasts/hardfork-educati...

The videos are more subtle and it's not apparent in every frame. Look for things in the background snapping into and out of focus, weird textures appearing on Will's head and neck, and people's faces looking unnaturally sharp at the edges, while their skin is uncannily smooth (sort of like Max Headroom.)

I understand the point he's making: New cars are much safer than old cars, and the average person is driving a car that is 12 years old, while new cars are bought primarily by the wealthy. However, that seems like a natural consequence of two things that are very good for everyone. First, cars are lasting much longer than they used to, which lowers the lifetime cost of ownership. Second, cars have gotten much safer in the last fifteen years. As long as these trends continue, the safety gap will exist, but I think everyone would still prefer cars keep getting safer and more reliable.

The Bitter Lesson is specifically about AI. The lesson restated is that over the long run, methods that leverage general computation (brute-force search and learning) consistently outperform systems built with extensive human-crafted knowledge. Examples: Chess, Go, speech recognition, computer vision, machine translation, and on and on.

I jumped over to the Wikipedia page of early blogger Justin Hall to see what he's up to. He has another distinction that he can probably claim: The longest recorded gap between registering a domain and finally using it to start a business.

"In September 2017, Hall began work as co-founder & Chief Technology Officer for bud.com, a California benefit corporation delivering recreational cannabis, built on a domain name he registered in 1994."

That sounds like a reasonable prediction to me if the LLM makers do nothing in response. However, I'll bet coding is the easiest area for which to generate synthetic training data. You could have an LLM generate 100k solutions to 10k programming problems in the target language and throw away the results that don't pass automated tests. Have humans grade the results that do pass the tests and use the best answers for future training. Repeat until you have a corpus of high quality code.

I just looked it up. The process involves modifying a fertilized egg or embryo to create a founder organism. The gene drive is designed to be inherited by more than 50% of the organism’s offspring and propagate through the population over successive generations. Because humans have fewer offspring and longer generation times compared to insects, it would take many generations and potentially hundreds of years for a gene drive introduced in a single human to spread widely through the population.

Jevon's Paradox: https://en.wikipedia.org/wiki/Jevons_paradox

"In 1865, the English economist William Stanley Jevons observed that technological improvements that increased the efficiency of coal use led to the increased consumption of coal in a wide range of industries. He argued that, contrary to common intuition, technological progress could not be relied upon to reduce fuel consumption."

With web search, Claude has access to the latest events and information, boosting its accuracy on tasks that benefit from the most recent data.

I'm surprised that they only expect performance to improve for tasks involving recent information. I thought it was widely accepted that using an LLM to extract information from a document is much more reliable than asking it to recall information it was trained on. In particular, it is supposed to lead to fewer instances of inventing facts out of thin air. Is my understanding out of date?

Strengthen immunity by increasing contact with natural environments

My mom is a family and children's photographer. She likes to photograph kids in their backyards or in local parks, sitting in the grass. She often encounters small children who are unnerved by the feeling of grass as they have never touched it before. Also, parents will ask if their child could sit on a blanket, because the ground is dirty. I'm really curious how this attitude started. It is so alien to me.

Fitting 3 meals into an 8h window would be … tricky.

That's the main secret to time restricted eating, in my opinion: You don't have enough time to eat as much as you normally do so overall calorie intake tends to decrease. I think the other reason it's helpful for some people is that eating nothing for one meal takes less self control than restricting yourself to a small portion, leading to better adherence than normal calorie counting.

The article that follows that one is also very interesting and worth reading. It shows how a coastline that existed 100 million years ago and cut through modern day Alabama is still visible in demographic and election maps. (By a crazy coincidence, I just dug up that article and sent it to someone not even half an hour ago, since we were talking about geology and I remembered reading it. Then I go to HN and see this posted.)

1. https://starkeycomics.com/2021/06/11/how-a-coastline-100-mil...