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I'm curious, how did you come up with the archetypes and moods? Were they generated automatically, or did you think them through?


It was a pretty iterative process to get to something that felt 'real' – I was going for 90% accuracy, with a little extra abrasiveness since I thought it would be funny.

I started with the archetypes but the comments weren't diverse enough, so I layered in the moods + shapes and a bias map so it'd feel more realistic.


> Israel as a country is aligned with Western values

Western values include, among other things, a commitment to equality and human rights, not apartheid[1] and genocide[2].

[1] https://en.wikipedia.org/wiki/Israeli_apartheid

[2] https://en.wikipedia.org/wiki/Gaza_genocide


[flagged]


> a wikipedia page on Western values

Here you go: https://en.wikipedia.org/wiki/Western_values

Since the wikipedia page also mentions individual liberty and rule of law, let me also link to this topic:

Arrest and detention of Palestinian minors by Israelhttps://en.wikipedia.org/wiki/Arrest_and_detention_of_Palest...


You're right - Palestinians don't deserve to be murdered by people who don't like them.


They murdered primarily by Hamas, either directly or indirectly by their war tactics that prioritize civilian casualties.


As opposed to the rest of the world who believe you must let yourself be murdered /s


That certainly seems to be their attitude. If israel had listened to all of the advice from Britain and France it may well have been 60k Israelis dead. Imagine how many palestinians would have died. Nobody here is arguing against israel in good faith. If anyone had genuinely cared about the palestinians they would have put massive pressure on Hamas and put their full support behind a quick and brutal campaign. What would have happened? A 2 month long war and 20k dead max.


Here is an interesting related read (author is a researcher at OpenAI): Building AGI Using Language Models (2020)https://bmk.sh/2020/08/17/Building-AGI-Using-Language-Models...

It makes the case that perfecting language prediction might be the path to AGI — because to predict language well, you have to understand the world it describes.


> It makes the case that perfecting language prediction might be the path to AGI — because to predict language well, you have to understand the world it describes.

This is an interesting concept, because in my mind, language can describe worlds beyond our own that exist only in our imagination. Like predicting a sequence of words in Alice in Wonderland or a page from House Of Leaves.

Thanks for the link!


There's a quote in that blog that I quite liked:

We’ve engineered movement out of our lives. We sit in chairs, stare at screens, and outsource physical effort to machines. Then we try to cram all our movement into 45-minute bursts a few times a week.

This is like eating only once a week and calling it a balanced diet. Most people are malnourished, not from lack of food, but from a lack of diverse, nutrient-dense movement.


Here is a study that tries to answer that question: https://link.springer.com/article/10.1007/s40279-024-02120-2

A good summary: https://bannister.coach/mitochondria-and-exercise-how-differ...

Quoting the conclusion:

> In this systematic review and meta-regression covering ~ 50 years of research data, we demonstrate that the magnitude of change in mitochondrial content, capillarization, and VO2 max to exercise training is largely determined by the initial fitness level. The ability to adapt to exercise training is maintained throughout life irrespective of sex and presence of disease. Larger training volumes (higher training frequency per week and larger number of training weeks) and higher training intensities (per hour of training, SIT > HIT > ET) are associated with greater increases in mitochondrial content and VO2 max. Therefore, training load (volume x intensity) is a robust predictor of changes in mitochondrial content and VO2 max. Increases in capillarization occur primarily in the early stages of exercise training (< 4 weeks) with ET, HIT, and SIT equally enhancing capillaries per fiber, while ET is more effective in increasing capillary density (capillaries per mm²) due to less pronounced muscle fiber hypertrophy.



If only archive.is would share a dump of its archives through torrents the way Anna’s Archive does — it’d make it much more resilient.


I don't know why all the archive sites don't share backups. The Wayback Machine and archive.is are the largest archive sites by far, and they don't share bulk downloads of the majority of the websites they catalog.

They of course don't have to, but having something like Anna's Archive but for website history would be great.


My guess is the sheer amount of data that archive.org has, which means:

- even higher costs associated with seeding archives (egress traffic, storage iops capacity required etc)

- chances of finding a 3rd-party seed for arbitrary file would be pretty slim, which means seeding on your own most of the time, which would make this hardly any better than offering files over HTTP only.

Anna's Archive, after all, is only an index.


See also: https://nof1.ai/

Six LLMs were given $10k each to trade in real markets autonomously using only numerical market data inputs and the same prompt/harness.


So the Chinese ones make profit and the silicon valley LLMs are burning money. Sounds about right.




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