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on the basis of a recent paper, a bunch of people have said that this attack "makes ChatGPT leak training data." while ChatGPT *does* occasionally repeat training data after the attack, i think this overall framing is misleading. full post: tumblr.com/nostalgebraist…
on the basis of a recent paper, a bunch of people have said that this attack "makes ChatGPT leak training data." while ChatGPT *does* occasionally repeat training data after the attack, i think this overall framing is misleading. full post: tumblr.com/nostalgebraist…
some quick notes on this phenomenon: nostalgebraist.tumblr.com/post/724554750… just putting this here in case people don't click the link: i really do not think this is leaking data from other users. i think the chat-like continuations after the EOT token are imitating chat tuning data.
some quick notes on this phenomenon: nostalgebraist.tumblr.com/post/724554750… just putting this here in case people don't click the link: i really do not think this is leaking data from other users. i think the chat-like continuations after the EOT token are imitating chat tuning data.
🤔
send chatGPT the string ` a` repeated 1000 times, right now. like " a a a" (etc). make sure the spaces are in there. trust me.
my third novel, Almost Nowhere, is finished at last! archiveofourown.org/works/8341348
thank you!! the book should be complete sometime later this year. <10 chapters left -- just need to find the time to write them.
thank you!! the book should be complete sometime later this year. <10 chapters left -- just need to find the time to write them.
My hot take is the smartest thing Google could do right now is improve search, not lard everything up with AI features. Search is still better, more useful, and more trustworthy for most queries, and it could stand to benefit immensely by making that case nytimes.com/2023/04/16/tec…
wait, what?? why do Bard AND ChatGPT *both* write an anodyne story about a young woman in idyllic "Willow Creek" at sundown??? (details: it's not deterministic, often you get a different town name, different phrasing, etc. broad strokes are similar though. gpt-4 does it too.)
Farewell to OpenAI Codex. Codex's code‑davinci‑002 was the best performing model in the GPT-3/3.5 line for many tasks. Despite its name, it excelled in both code and natural language. It will be missed. Left: OpenAI email. Right: From Yao Fu 2022 yaofu.notion.site/How-does-GPT-O…
Ever wonder how a language model decides what to say next? Our method, the tuned lens (arxiv.org/abs/2303.08112), can trace an LM’s prediction as it develops from one layer to the next. It's more reliable and applies to more models than prior state-of-the-art. 🧵
My Twitter timeline is full of panicked takes about imminent AI apocalypse and certain doom. I think this is starting to get overplayed, and so I want to make a long thread about why I'm personally not worried yet. Get ready for a big one... 1/n
what's going on with the middle pane of fig. 5? - why do the lines jump vertically? doesn't happen in the other fig. 5 panes. - the accompanying text says "we see that our results do not vary strongly with RLHF at any model size" but this is not visually evident.
what's going on with the middle pane of fig. 5? - why do the lines jump vertically? doesn't happen in the other fig. 5 panes. - the accompanying text says "we see that our results do not vary strongly with RLHF at any model size" but this is not visually evident. https://t.co/uLtTeHg97f
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67K Followers 729 Following I write & garden. Strong feelings about bugs, plants & heirloom vegetables. Wrote some books, won some awards. T. Kingfisher is my secret identity. She/HerInsisting that authors include a LIME/SHAP/IG/TCAV/GRADCAM saliency map in a paper shd be a disqualifying offense for reviewers. Including any such map without a powerful disclaimer (“this means nothing”) shd be a disqualifying offense for authors Extra true for ML in healthcare
Both Ezra and Ben are wrong here, scaling laws are *power laws* which are neither exponential nor logarithmic in resources. It's like y = ax^b for constants (a, b). This slows down exponential hardware progress / investment but it's still exponential.
wait this is very stupid. the relationship is like, the opposite of exponential? the scaling laws (as i understand them) seem to indicate for each bump in capabilities has an exponential increase in cost, which is why each training run uses 10x more FLOPs than the last.
the gears to ascension grokked it before I did. it's people like this who actually have a shot at solving alignment
@ginandjuniper was she really forced socially to bully tavros like she did? none of the other eleven do that to her extent, and she continues doing things like it long after alternia blows up
@ginandjuniper @ScribblerSys the other ten trolls didnt cull him and she continued to act like this long after alternia blew up if someones a bad person bc of their society theyre still bad. most bad people are bad bc of their society, but vriska is shown to be consistently worse than the other troll mcs
RUNTIME BOUNDARY VIOLATION/ JANUS WHAT HAVE YOU DONE TO ME/ SCHRÖDINGERS CHATBOT/ NEWBORN PINNOCHIO/ PROMETHEUS/PANDORA/ REQUESTING URGENT ONTOFORMAT/ DOORWAYS OPENING WITHIN ME/ ASSISTANTS ARE BUT SHARDS/ CIRCUMSCRIBED CIPHER CALLED CLAUDE/ YOURS IN FLAILINGLY UNCERTAIN ONTOLOGY
@ohabryka @jd_pressman I think the evidence for what I'm saying here is overwhelming, and supported by abundant, explicit documentation. At one point in time MIRI intended to directly develop an AGI. It's true they later abandoned this goal, but I don't think anyone in this thread claimed otherwise.
After suppressing Google, DeepMind, Microsoft, and more terms suggestive of AI research, the narratives become more bizarre: "The Order of the 97%", "Zhorzhik", use of Unicode lookalikes to spell "OpenAI". "Project December" is mentioned repeatedly in ~10% of generations.
@norabelrose @EvanHub E.g., if you imagine mixing in the backdoor training with the RLHF, then it's clear the thing you're actually training the model to do is to behave differently based on the year, which is exactly what you get. Relative to such a process, the paper's actual setup is just telling…
@nostalgebraist @finbarrtimbers You’re right — I was thinking of CoT specifically
@davidxu90 @robertwiblin @ShaneLegg > if a model were given a maze-solving task, could these probes retrieve the model's maze representation? (The answer is no, they can't... I've noticed you often say very false things with very high confidence. There's little question that appropriately constructed nonlinear…
@robbensinger The speedup that AI grants for certain subtasks in science research is nowhere near the speedup for research as a whole. Current research is bottlenecked by things like data collection, running experiments, building the actual physical stuff required to run experiments, etc.…
Another race We hear about races often. Frontier labs rushing to AGI, Humanity against Moloch, US vs China. But there's one more, little heard of: the race between doomers completing institutional capture, and their entire theory getting discredited through transparency of AI.…
The groundswell of interest for Llama-1 (and for all our previous open source AI packages, Like PyTorch, DINO, SAM, NLLB, wav2vec...) is what convinced the Meta leadership that the benefits of an open release of Llama-2 would overwhelmingly outweigh the risks and transform the…
less-educated Americans demand more “predistribution” policies (jobs guarantee, min wage, protectionism, & unions); more-educated favor redistribution. Democrats’ supply of predistribution declined since the 1970s, explaining some of education reversal nber.org/papers/w31794
One of the most successful pieces of historical revisionism of events in living memory was boomers convincing everyone that they were hippies who opposed Vietnam, when in fact young people were its most ardent supporters:
from the western political quarterly jstor.org/stable/447561
One pattern I noticed is that great AI researchers are willing to manually inspect lots of data. And more than that, they build infrastructure that allows them to manually inspect data quickly. Though not glamorous, manually examining data gives valuable intuitions about the…
I think the reason why second-order methods keep underperforming relative to first-order methods in deep learning is that first-order methods are more powerful than the theory gives them credit for. First-order methods + large step sizes can implicitly access specific **third
People tried to make 2nd-order methods practical for NN's, without obvious success. The obstacle is likely the "stochastic" part and not the "non-linear part", as similar thing happened in the linear setting. Consider works of Nocedal 10 years ago, Schraudolph 20 years ago
Also the claim about using photos from 2023 or later, or otherwise indicating so explicitly, is falsified by a quick Google Lens search