kevinwang

Yeah, but AI psychosis can also be used to mean the stronger thing that the parent comment refers to -- something like AI-induced psychosis, which was how I originally understood the term:

https://en.wikipedia.org/wiki/Chatbot_psychosis

https://www.rollingstone.com/culture/culture-features/ai-spi...

https://www.nytimes.com/2025/06/13/technology/chatgpt-ai-cha...

Learn by doing? Certainly helpful. But I feel like the real secret is to work with others who are good at software architecture. You can learn very efficiently that way.

Where's chapter 3?

You probably meant "conscience" instead of "conscious"

for hn comment-only readers:

paper link: https://www.science.org/doi/10.1126/science.adt2981

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Editor Summary:

Body size and metabolic rate are intertwined, a factor that is especially important to understand with regard to animals that live in aquatic environments, where heat loss is related to water temperature. Payne et al. developed a method to estimate routine metabolic rate based on measures from tagged fish, and combined the estimates with published respirometry rates to create a dataset spanning the entire body size range of extant fishes. Using these data, the authors found a scaling imbalance between heat production and loss that affects especially large, mesothermic fishes in warm waters. This imbalance both explains the distribution of these fish in cooler waters and suggests a special sensitivity to warming waters. —Sacha Vignieri

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Abstract:

Body size and temperature set metabolic rates and the pace of life, yet our understanding of the energetics of large fishes is uncertain, especially of warm-bodied mesotherms, which can heavily influence marine food webs. We developed an approach to estimate metabolic heat production in fishes, revealing how routine energy expenditure scales with size and temperature from 1-milligram larvae up to 3-tonne megaplanktivorous sharks. We found that mesotherms use approximately four times more energy than ectotherms use and identified a scaling mismatch in which rates of heat production increase faster than heat loss as body size increases, with larger fish becoming increasingly warm bodied. This scaling imbalance creates an overheating predicament for large mesotherms, helping to explain their cooler biogeographies. Contemporary mesotherms face high fuel demands and overheating risks, which is a concern given their disproportionate demise during prior climate shifts.

Still down for me. (And still nothing on the status page!)

Even in your analogy, it's appropriate to reject the terms of marriage and not wed this person. But it's unprecedented to also vindictively ruin their life (e.g. by unilaterally putting them in jail)

From the link alone, it looks like the state actively funds cloud seeding research, not active practical cloud seeding?

Thanks. Link should be changed to this.

Edit: oh wait, this article isn't the source either. It references an article by "The Information", which I assume is https://www.theinformation.com/articles/salesforce-executive... There's also this follow-up: https://www.theinformation.com/articles/story-salesforces-de...

It's paywalled, so I can't verify.

The YXY problem?

It says:

We see potential uses in companionship and affective interaction. The robot’s ability to elicit spontaneous touching and positive emotional responses suggests it could serve in therapeutic settings or as a social presence for people who spend time alone. The quiet operation and gentle movement make it suitable for environments where noise and sudden motions would be disruptive.

Well said. I feel similarly despite being born about 15 years later.

Good idea! Anyone should be able to add it if it's in the public domain.

A little sad for me because I've enjoyed the global leaderboard aspect for years but of course my second reaction has to be to take a step back and appreciate all the joy that this one man has given us for all these years.

And he's made it clear from that start that he never intended the global leaderboard to be the point, plus AI the last few years messes it all up. All good things come to an end, and I gotta appreciate the good run that we had, and the voluntary work of one person that gifted it to us.

Not sure if you meant this because it doesn't cite the paper you mention, but it's a similar work: "An Investigation of Model-Free Planning", Guez et Al. (Deepmind) 2019 https://arxiv.org/abs/1901.03559

For problems that human teams eventually get correct, they seem to have submitted mostly 1 time -- occasionally 2 or 3. For problems that they did not get correct, there are some problems with up to 16 submissions.

Darn, I can't hear the music on iphone safari :(

Thanks, that was a fun read!

I remember reading an essay (probably from here?) about how a great way to build a game is to build it around a "toy" -- something that is pleasurable to simply interact with, even without objectives. I can't find it anymore -- the closest I can find is https://medium.com/@keerthiko/toys-to-games-25d35b40425d but I don't think it was that, although it's based on the book "The Art Of Game Design" which may have been a common inspiration.

Anyways, I've often thought about Super Smash Bros. (particularly, Melee) as a prime example of that idea.

Oooo, that looks a lot better than the initial designs!

A quick take:

> reasonable possibilities are too many to analyze, one is forced to pretty much guess.

You could say the same thing about chess, but an experienced player wouldn't, because they know which candidate moves are reasonable and which lines to delve into through intuition shaped by experience.

Similarly, you might say the same about poker. The possible hands your opponent has are actually quite large, but an experienced player can have a reasonable idea of the possible hands and their probabilities, which may involve eg ignoring most hands as unrealistic and bucketing hands into classes.

This seems to have just happened: https://polymarket.com/event/another-dildo-thrown-at-wnba-ga...

(and it could happen again: https://polymarket.com/event/another-dildo-thrown-at-wnba-ga...

https://polymarket.com/event/dildo-thrown-at-wnba-game-on-au... )

Am I the only one that doesn't get this at all? Why use a recurrent architecture at all if you're only going to backprop through 1 step?

Looks like the default settings correspond to a 31-note scale instead of the usual 12-tone scale. https://en.m.wikipedia.org/wiki/31_equal_temperament

Much better, thank you!

very nice, vincent!

[2022]

> When you have some knowledge of the topology of the graph you can use different techniques to do better than djikstra's.

But that statement doesn't apply to the version of Dijkstra's developed in this paper right?

> Universal optimality is a powerful beyond-worst-case performance guarantee for graph algorithms that informally states that a single algorithm performs as well as possible for every single graph topology.

yeah kinda

I think the example is fine. Two adjacent regions will indeed always be different if the coloring is correct. But it may not be if the coloring is incorrect.