anothermathbozo

6 ms·

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by anothermathbozo 2y ago
We're dealing with an emergent technology. No one knows for certain how far it can be pushed. While I don't think the tech is ready to displace workers today, policies like the one's outlined in this piece serve as a form of
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What to Do About AI-Driven Job Displacement (2023)(peoplespolicyproject.org)
2 points by anothermathbozo 2y ago|1 comments
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by anothermathbozo 2y ago
I am not "giving up" on anything. I am using my discretion to weight which lines of thinking further our understanding of the world and which are vacuous and needlessly cruel. For what its worth, I love Rawls' work.
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by anothermathbozo 2y ago
Not all hypotheticals are worth answering. Some are even so poorly put that it's a more pro-social use of one's energy to address the shallow nature of the exercise to begin with. If I asked an intelligent thing "is it ethica
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by anothermathbozo 2y ago
I don't think the correct answer is "I cannot answer this question". I think the correct answer takes roughly a one-pager to explain: Unrealistic hypotheticals can often distract us from engaging with the real-world moral and
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by anothermathbozo 2y ago
> Model still appears to be just a bit too overly sensitive to "complex ethical issues", e.g. generated a 1 page essay basically refusing to answer whether it might be ethically justifiable to misgender someone if it meant savi
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by anothermathbozo 2y ago
I don’t think you can
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by anothermathbozo 2y ago
A model OpenAI has said won’t be released as a standalone model.
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by anothermathbozo 2y ago
He might be. It’s an emergent technology and no one knows for certain how far it can be pushed.
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by anothermathbozo 2y ago
By this I mean it’s a bet on what R&D might yield, current progress being some kind of signal. No one has certainty here. It’s an emergent technology and no one knows for certain how far it can be pushed.
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by anothermathbozo 2y ago
This is one of the most tilted pieces I’ve ever read. For months Ed has predicted The AI Bubble will burst “any day now” frequently citing ai company’s revenue as a sign the product is not viable and the valuations are too high. The valuati
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by anothermathbozo 2y ago
Big companies indeed work hard to generate investment and interest. We can take the threat and promise of the technology seriously without taking the science fiction grade hype literally. If you have your certainty then there are plenty of
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by anothermathbozo 2y ago
No one has certainty here. It’s an emergent technology and no one knows for certain how far it can be pushed. It’s reasonable that people explore contingencies where the technology does improve to a point of driving changes in the labor mar
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by anothermathbozo 2y ago
It’s an emergent technology and no one knows for certain how far it can be pushed, not even mathematicians.
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by anothermathbozo 2y ago
No and we’ve observed evidence to the contrary
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Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization(arxiv.org)
2 points by anothermathbozo 2y ago|0 comments
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by anothermathbozo 2y ago
I think this is with and without "tools." They explain it in the system card: > We evaluate SWE-bench in two settings: > *• Agentless*, which is used for all models except o3-mini (tools). This setting uses the Agentless 1
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by anothermathbozo 2y ago
The claim is that this removes the human bottleneck (aka SFT or supervised fine tuning) on domains with a verifiable reward. Critically, this verifiable reward is extremely hard to pin down in nearly all domains besides mathematics and comp
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by anothermathbozo 2y ago
How so?
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by anothermathbozo 2y ago
So tired of seeing this condescending tone online
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by anothermathbozo 2y ago
The DS team themselves suggest large amounts of compute are still required
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by anothermathbozo 2y ago
I don’t think this entirely invalidates massive GPU spend just yet: “ Therefore, we can draw two conclusions: First, distilling more powerful models into smaller ones yields excellent results, whereas smaller models relying on the large-sca
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by anothermathbozo 2y ago
Virtually every book I want this for has been around for 70+ years and still no high or low quality audiobook has been produced. How long do I have to wait for those aspiring top-enders before an audiobook can be made available?
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AI in America: OpenAI's Economic Blueprint [pdf](cdn.openai.com)
3 points by anothermathbozo 2y ago|0 comments
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Advancing Embodied AI: Progress in Touch, Dexterity, and Human-Robot Interaction(ai.meta.com)
2 points by anothermathbozo 2y ago|0 comments
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A pilot project in universal algebra to explore new ways to collaborate(terrytao.wordpress.com)
182 points by anothermathbozo 2y ago|22 comments