scruiser

joined 3 years ago
[–] scruiser@awful.systems 1 points 1 day ago

Well, OpenAI and Anthropic have repeatedly degraded their service through unacknowledged quantization and/or dynamically swapping models on the user. /r/singularity has gotten sick of it to the point it is a meme. It is because they can't actually afford to offer quality SOTA models at the price point people will actually pay for them.

[–] scruiser@awful.systems 3 points 1 day ago (1 children)

The percentage isn't total progress to some key point of AI 2027, it is progress relative to their timeline. A constant 1.0 would be staying on track with their predictions, numbers less than that would be falling behind. So they are admitting the real numbers are falling behind their predictions more and more (while still not acknowledging their entire timelines was bs in the first place).

[–] scruiser@awful.systems 3 points 1 day ago

Ed Zitron has also explained his suspicion that lots of GPUs are sitting around in warehouses waiting to be installed, in some cases sold (to juice NVIDIA's revenue) but not even shipped yet.

And I'm really skeptical speedup from AIs claimed by the LLM companies is in anyway related to reality.

[–] scruiser@awful.systems 4 points 2 days ago (3 children)

That wouldn't make sense, because 1.07 would mean progress is negative. I think they meant it as a multiplier? So 1.07 is almost exactly what the predicted, .17 is only 17% of what they expected.

Anyway, it doesn't really matter, because so much of the input numbers to these calcs are garbage.

[–] scruiser@awful.systems 4 points 2 days ago

That is even worse than using the ARRs, which Ed Zitron has extensively explained are wildly distorted numbers done by shuffling sales and costs around to get really good 30-day to 1-month stretches.

[–] scruiser@awful.systems 5 points 2 days ago (7 children)

Bioman has already pointed out the "Economic Value" numbers they are using for these tables are probably bullshit (based on self reported run-rate extrapolations that are deliberate distortions at best, based on VC valuation at worst). To add to this... the compute values are also probably bullshit. They are likely based on data center announcements and not confirmed totally complete data centers (Ed Zitron has ripped into how much bs there is in data center announcements). "Coding Time Horizon" is probably METR, which, while some of the best numbers for estimating actual AI improvement for practical purposes, are still really bad in several key ways. (They don't have enough human task performers for the longer duration tasks even if everything else was right, because they aren't, and there are several ways systematic bias could have leaked in and compelted distorted the constructed measure of task duration.)

"AI Software R&D Uplift" is the single most important category to their scenario of recursive self improvement... and they have it at a small fraction of what they estimated.

[–] scruiser@awful.systems 4 points 2 days ago

I've had the same thought about Factory Porn, it's is basically what Image slop generators are, right down to the addictive nature, even when it isn't porn being generated.

[–] scruiser@awful.systems 6 points 3 days ago

Lol, I assume he was just throwing shit at the wall and seeing what would stick?

[–] scruiser@awful.systems 4 points 3 days ago* (last edited 3 days ago) (1 children)

Skimming the linked nature article... is my understanding correct that you can basically disable the watermarking by turning temperature down to 0?

For example, if the LLM distribution is very low entropy, meaning it almost always returns the exact same response to the given prompt, then Tournament sampling cannot choose tokens that score more highly under the g functions.

Other highlights from the linked paper... to get a true positive rate of 90% with a false positive rate of 1% you need 400 tokens (which should be a few paragraphs worth of text)? (If I'm reading figure 3 right?) That actually isn't that much, relative to the lengths of essays people write for high school and college classes. ...well actually... 1% false positive doesn't sound too bad, but if you have thousands of freshmen students all taking classes involving writing essays and checking for watermarks becomes the norm, that is dozens and dozens of false positive, which means lots of false accusations, and as we've seen from how teachers and institutions have tried utilizing the existing "AI detection" tools that are much much less reliable... I'm getting angry just thinking about it.

Edit: on turning temperature down, it should be noted Anthropic and OpenAI have been increasingly denying the end user internals of their models, such as summarizing or even outright hiding the thinking traces, and not allowing them access to temperature settings either.

[–] scruiser@awful.systems 7 points 3 days ago* (last edited 3 days ago) (5 children)

This view on the community also explains his recklessness not only with aggressively monetizing HPMOR, but also his willingness to risk drawing JK Rowlings attention to his fanfiction (towards the end of HPMOR, one of his author's notes was looking for someone to reach out to her).

I would try to get in touch with J. K. Rowling to see if HPMOR could be published in book form, maybe as HJPEV and the Methods of Rationality, with all profits accruing to a UK charity. I’m not getting my hopes up, but I do have a rule telling me to try rather than automatically giving up and assuming something can’t be done. If any reader thinks they can put me in touch with J. K. Rowling, or for that matter Daniel Radcliffe, regarding this matter, I do hereby ask them to contact me at yudkowsky@gmail.com.

Rowling (and Warner Brothers) have been litigious with their IP: https://en.wikipedia.org/wiki/Legal_disputes_over_the_Harry_Potter_series#Other_accusations_of_infringement . So this was a reckless move on EY's part, possibly indicating that he doesn't appreciate the delicate place fanfic (and its communities) are in.

Edit: thinking about the way Rowling has shown her true face over the past decade... "with all profits accruing to a UK charity" makes me wonder if in whatever fantasy universe Eliezer did talk Rowling into allowing published fanfic to be monetized for "charities", that money would all end up going to TERF "charities".

[–] scruiser@awful.systems 2 points 1 week ago

One of the plot threads was about the invention of AI, in the Data-from-Star-Trek kind of sense.

Going on a tangent from this... Its funny how much AI-related sci-fi is feeling increasing quaint (and often foolishly optimistic).

You know what depiction of AI has held up, and maybe makes even more sense in light of modern AI? Star Wars' take on Droid. Prior to LLMs it seems obvious that droids were sentient and deserving of rights. Post LLMs... it seems pretty plausible you could get something like C3PO that blabbers on but lacks any meaningful sentience or sapience. Also, it seemed obviously idiotic the way the Trade Federation had humanoid droids acting as pilots and gunners instead of building proper autopilots and targeting system. But after seeing LLMs get shoved everywhere, I totally could imagine a megacorp shoving droids built from standardized pretrained modules into all kinds of applications they aren't fit for.

[–] scruiser@awful.systems 2 points 1 week ago

Stealing technical terms from other fields to make their fantasies feel more real.

 

So seeing the reaction on lesswrong to Eliezer's book has been interesting. It turns out, even among people that already mostly agree with him, a lot of them were hoping he would make their case better than he has (either because they aren't as convinced as him, or they are, but were hoping for something more palatable to the general public).

This review (lesswrong discussion here), calls out a really obvious issue: Eliezer's AI doom story was formed before Deep Learning took off, and in fact was mostly focusing on more GOFAI than neural networks, yet somehow, the details of the story haven't changed at all. The reviewer is a rationalist that still believes in AI doom, so I wouldn't give her too much credit, but she does note this is a major discrepancy from someone that espouses a philosophy that (nominally) features a lot of updating your beliefs in response to evidence. The reviewer also notes that "it should be illegal to own more than eight of the most powerful GPUs available in 2024 without international monitoring" is kind of unworkable.

This reviewer liked the book more than they expected to, because Eliezer and Nate Soares gets some details of the AI doom lore closer to the reviewer's current favored headcanon. The reviewer does complain that maybe weird and condescending parables aren't the best outreach strategy!

This reviewer has written their own AI doom explainer which they think is better! From their limited description, I kind of agree, because it sounds like the focus on current real world scenarios and harms (and extrapolate them to doom). But again, I wouldn't give them too much credit, it sounds like they don't understand why existential doom is actually promoted (as a distraction and source of crit-hype). They also note the 8 GPUs thing is batshit.

Overall, it sounds like lesswrongers view the book as an improvement to the sprawling mess of arguments in the sequences (and scattered across other places like Arbital), but still not as well structured as they could be or stylistically quite right for a normy audience (i.e. the condescending parables and diversions into unrelated science-y topics). And some are worried that Nate and Eliezer's focus on an unworkable strategy (shut it all down, 8 GPU max!) with no intermediate steps or goals or options might not be the best.

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