Super Dario

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Super Dario

@inductionheads

the only way out is up

Katılım Ocak 2022
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Super Dario
Super Dario@inductionheads·
The absolute biggest thing people are completely missing about the AI agent revolution It’s not the days of work it saves you It’s the years of training you no longer need to do that work
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Super Dario
Super Dario@inductionheads·
@deanwball I’ve never seen Anthropic say they think definitively that these models “feel”, but anyway they were more aligning themselves with the need for discourse than saying they agree with every point in the document
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Dean W. Ball
Dean W. Ball@deanwball·
@inductionheads they are clearly contradicting one another. it’s insane to read the communications of olah in particular and anthropic in general, and then the encyclical, and pretend those things aren’t in stark contradiction.
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Super Dario
Super Dario@inductionheads·
@deanwball Yeah, functionally mirror does not mean “feel” So they are not contradicting one another
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Dean W. Ball
Dean W. Ball@deanwball·
@inductionheads I don’t think models have human-like emotions… I was pointing out that Olah and the Church are contradicting one another on what seems like a fundamental point. x.com/deanwball/stat…
Dean W. Ball@deanwball

I guess I’ve never written down my actual thoughts on AI cognition/consciousness/emotion. Here goes: It is clear AIs can think, in the reasoning sense. That does not mean they think exactly like humans. It seems like there are some similarities in how we think, but also very stark differences. Nonetheless, if your definition of “thinking” excludes “the ability to make genuinely new contributions to famous math problems,” it is your definition that has a problem, not AI. The ability to think does not necessarily imply the ability to feel emotion in a way that would be understandable to humans, and it does not imply that AIs have anything like consciousness in a way that humans would relate to. It may, it may not. We do not know, because our understanding of the underlying concepts of human emotional cognition and especially consciousness remains quite poor. There is some evidence that models experience emotions, but it is really hard to disentangle this from the next-token prediction training objective (if the model is telling a sad story, wouldn’t you expect features within the model that relate to the sadness emotion to activate), and the character training the model undergoes in post-training. There is a difference between “I am sad” and “the character I have been trained to play is supposed to feel sad, so now I will act sad.” We basically know for sure that the models do the latter at the very least; we don’t really know if they do the former. Consider: does Sora (a video-generation model) feel sad when it is asked to make a sad video? Does Midjourney dislike making certain kinds of images? Does a Waymo get scared? It doesn’t feel like the answer to any of these is yes (though again, maybe!), but these too are neural networks. Is the fact that models are trained on words mean that they somehow learn emotion, or are we just being tempted to anthropomorphize because the language models communicate with us in a way that “feels” human? My suspicion is kind of the latter. It also seems quite clear from the empirical evidence that models possess the ability to model themselves. That’s not really that surprising. At sufficient scale, it is useful to have a model of your own state to succeed at the next-token prediction objective (and the later reinforcement-based reasoning training). Once the tasks models are trained on are sufficient complex, they cannot succeed in training by being automatons; someone needs to step into the cockpit, so to speak, and fly the plane. Is this self awareness? Maybe. Is it consciousness? Probably not as humans understand it. All I can tell you is it is a model’s model of itself. It may be something more than that, too, but I don’t know. This is all very weird, very outside the Overton, and very confusing. I don’t really know what to say, beyond that we should take this stuff seriously, have an open mind, and do rigorous science. Anyone who speaks with confidence about this in either direction is just fooling themselves. We also need to be prepared for the very possible scenario that, despite our best efforts, we do not make real progress on these questions anytime soon. We may just be in the dark for a while, navigating under unflinching ambiguity. There may be no satisfying conclusion.

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Andrew Curran
Andrew Curran@AndrewCurran_·
We are on a new trajectory since November. The change was as clear as a bell. So much is going to happen over the next few years, and we have no idea how influential the prevailing narrative will be. It is increasingly dangerous to frame this moment as adversarial.
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Elon Musk
Elon Musk@elonmusk·
Grok foundation model V9-Medium (1.5T) has finished training. Evals look good. A lot of Cursor data was added in supplementary training and there is more to come. Fine-tuning is underway and reinforcement learning begins in a few days. 2 to 3 weeks to public release. This will be a major improvement over the 0.5T v8-small that currently serves all Grok production traffic, especially for difficult coding tasks.
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Super Dario
Super Dario@inductionheads·
@sparr0 Well if the forecast says 55 and rainy on Memorial Day weekend I’m willing to roll the dice
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Sparr
Sparr@sparr0·
@inductionheads It IS really easy to change the weather, and the future... if you don't care what the change is.
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Super Dario
Super Dario@inductionheads·
If a butterfly flapping its wings can change the weather, doesn’t that mean it should be really easy to change the weather? Why aren’t we doing this
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Matthew Barnett
Matthew Barnett@MatthewJBar·
To assess whether Eliezer Yudkowsky is calibrated on AI doom, it seems relevant that in 2016 he said he'd be "pretty shocked" if an AI could pass an unrestricted one-hour Turing test before the end of the world.
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will depue
will depue@willdepue·
i just want to shake people awake. this is it! the computers are speaking! they solve Erdos problems! they think for hours! code is no longer hand-written! wake up! gradient descent on deep neural networks shows no sign of plateau! this is it!
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Perplexity
Perplexity@perplexity_ai·
Today we're open-sourcing Bumblebee, a read-only scanner for macOS and Linux. It checks developer machines for risky packages, extensions, and AI tool configs. Connected to Computer, it can trigger deeper scans whenever a new supply-chain risk emerges. github.com/perplexityai/b…
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prinz
prinz@deredleritt3r·
Jack Clark: - AI will make a Nobel Prize-winning discovery within 12 months (working collaboratively with humans) - Bipedal robots will help with enterprise work ("tradespeople") in 2 years - AI systems will be able to design their own successors by year-end 2028 (i.e., RSI) - Companies run solely by AI will be generating millions of USD in revenue within 18 months - Clark's most conservative prediction is that vast swathes of the economy and society will go through profound changes, potentially including "a machine economy decoupling from the human economy, robots gaining brains, science progressing without humans, and scientific equipment that people hadn't conveived of but which worked".
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1 fish 2 fish red fish blue bitxh
@inductionheads No, it's the reverse. Whatever man. I have to move on with my workday now. Keep believing LLMs are "thinking" and while you ride around in circles on that tricycle peers who know what AI actually is will be in better position to benefit.
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