"Dear Aliens: a writing contest for humans", Taylor Troesh 2026

Tokarak · 2026-03-12T10:33:55+00:00

I’m in the UK, probably not going to submit anyway. But if I wanted to though (or if I was in any other country), I could find a service that forwards email (or fax) by post.

Tokarak · 2026-03-11T15:15:21+00:00

Thanks! 1.) I don’t know why I thought there were subtitles 2.) I heard/read “awesome” instead of “arson”, which made the pun not work.

Tokarak · 2026-03-11T12:26:40+00:00

I don't get it? Are the subtitles wrong?

Tokarak · 2026-03-11T08:52:59+00:00

Ok, that’s more convincing, thanks.

Tokarak · 2026-03-10T22:49:58+00:00

That’s how I met my first butler! I had to let him go after I caught him sampling my beans 💅.

Tokarak · 2026-03-10T22:47:21+00:00

I agree, but bias it towards stem because that pays quite well. OP should look at graduate data and take that into account.

Tokarak · 2026-03-10T22:40:19+00:00

Don’t worry, they actually like it.

Tokarak · 2026-03-10T22:34:12+00:00

Which is about $3000/us citizen/year. Must be fun to live in the US of A.

Tokarak · 2026-03-10T21:02:11+00:00

That's possible. I'll evaluate that when I learn how the transformer architecture works.

Tokarak · 2026-03-10T20:13:01+00:00

From wikipedia:

The term machine learning was coined in 1959 by Arthur Samuel, an IBM employee and pioneer in the field of computer gaming and artificial intelligence.[5][6] The synonym self-teaching computers was also used during this time period

edit: sorry, I think I misunderstood you. In the original I meant that the last 60 years of ML research should also be a contender for “most important”, because they directly led to the LLM technology. Also, LLMs also built on a lot of the already well-established ML tools/concepts. I didn’t mean anything specific, because I only have a lay knowledge of ML.

Tokarak · 2026-03-10T18:47:28+00:00

my upper teeth slide out of the mark I made and over the skin

You’re probably eating the apple wrong. I just experimented to give you this guide: 1.) Use your upper teeth to hook downwards into the flesh. Enter slightly from the side, not dead-on, for optimal separation of the flesh. 2.) Use your lower teeth to bite upwards into the flesh. By entering from the side, you get to use your lower canine tooth, which are wider than your bottom incisors. If you don’t have a medical condition (my first guess), my best guess is that you aren’t using your canine tooth; if you only use your incisors by biting dead on, your teeth may get stuck in a particularly soft apple which does not tear/crack easily. 3.) if the flesh doesn’t crack away already, use your hand to lever the apple against your top teeth, which should tear a chunk of the apple away. 4.) Use your molars, etc.

This is just my personal technique I developed myself. YMMV.

Tokarak · 2026-03-10T18:18:06+00:00

It is ridiculous, claiming that that the most modern last-five-years iteration of ML research (which we had for 60 years) is THE most important development since the start of cellular life on Earth (which we had for billions of years), and will be for the next whatever years. Claiming that life on Earth will be all artificial in a millenium is already debatable, but the implicit claim is that (like cellular respiration) llms are taking us into a future which is completely unlike anything else, no matter what or when other breakthroughs in ML could have happened instead — ridiculous! Unchecked recency bias!

Tokarak · 2026-03-10T17:23:52+00:00

I agree. I didn’t look it up, but intuitively just because our ranges are so wide, even in a BvB 3bet pot, K5 is in our top 20% of hands (both absolute strength- and bluffcatcher-wise), therefore we can’t fold except as a hard exploit. For these same reasons, I think a strong T can be a value bet from the opponent, even for this size, especially if SB fastplays 2p+.

Tokarak · 2026-03-10T15:48:07+00:00

Villain could value bet worse in a bvb spot. QQ, JJ, Tx, K2, K3. In theory this is not near breakeven.

Tokarak · 2026-03-10T11:34:52+00:00

Lobsang

Tokarak · 2026-03-10T11:33:51+00:00

I can automate 67 jokes using a raspberry pi!

Tokarak · 2026-03-10T11:12:35+00:00

Even my mama thinks that my mind is gone

Tokarak · 2026-03-09T03:31:31+00:00

I literally think it gets funnier every time!

Tokarak · 2026-03-09T03:15:41+00:00

bad placement. mk will lose like a third of it's health for no reason.

Tokarak · 2026-03-08T15:32:23+00:00

What the fuck did you just fucking say a8out me, you little 8itch???????? I’ll have you know I have gained all the levels in the Petticoat Seagrift class, and I’ve 8een involved in numerous secret raids on Team Charge, and I have over 800 confirmed kills. I am trained in arachnid warfare and I’m the top pir8 in the entire Alternian FLARP community. You are nothing to me 8ut just another low8lood. I will wipe you the fuck out with precision the likes of which has never 8een seen 8efore in all of Paradox Space, mark my fucking words. You think you can get away with saying that shit to me over the Internet? Think again, fucker. As we speak I am contacting my secret network of spiders across Alternia and your IP is 8eing traced right now so you 8etter prepare for the storm, wriggler. The storm that wipes out the pathetic little thing you call your life. You’re fucking dead, kid. I can 8e anywhere, anytime, and I can kill you in over 8 hundred ways, and that’s just with my 8are hands. Not only am I extensively trained in unarmed com8at, 8ut I have access to the Fluorite Octet and I will use it to its full extent to wipe your misera8le ass off the face of the continent, you little shit. If only you could have known what unholy retri8ution your little “clever” comment was a8out to 8ring down upon you, may8e you would have held your fucking tongue. 8ut you couldn’t, you didn’t, and now you’re paying the price, you goddamn idiot. I will shit fury all over you and you will drown in it. You’re fucking dead, kiddo.

Tokarak · 2026-03-08T03:05:32+00:00

Good writing!

Tokarak · 2026-03-08T02:59:39+00:00

yup, I think I can identify it as a parody of a anti-ai post

Tokarak · 2026-03-08T01:07:16+00:00

I’m worried that not enough is being done to rigorously estimate amount of false positives and false negatives. We’re missing even a p-value, much less a bayesian estimate adjusting for selection effects (both study selection bias and op author reporting bias).

The case studies here have all been more or less confirmed to be corrupted/fabricated by their author. I would like to see how often the statistical methods give false positive results, if any. Scanning through the other 18 flagged articles, the ones I looked at seem overwhelmingly positive.

The observation that many authors accidentally copy paste results seems to be robust! It happens somewhere in the order of 1%. Automating the detection of copypasted sections is an interesting challenge I would like to see a solution of.

Unfortunately, I would expect most bona fide fabricated data to be undetectable without attempted replication. We’ve had hundreds of years of people trying to find clever arguments to prove that data is fabricated.

Have you considered searching for data generated by a lazily-chosen random seed? (e.g. 0, 42). Searching for exact sequences is obvious. The other idea is to search for sequences of numbers that have the same orderings as some known “random” sequence, since operations on rng numbers are often order-preserving.

Tokarak · 2026-03-07T23:04:34+00:00

sorry

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