Viewing profile — DalasNoin
DalasNoin
HN member- Joined
- Tue, Sep 13, 2016, 10:16 PM UTC
- HN karma
- 778
- Public activity
- 177 items
- HN profile
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About DalasNoin
https://www.linkedin.com/in/simon-l772743a7/
Recent public activity
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Comment #48207477
Can you confirm people in france actually use wero? I had heard of it every so often but basically zero people actually use it, my revolut app has a feature to use wero but never u…
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Comment #47950613
Quote from the article: ""AI will probably most likely lead to the end of the world, but in the meantime, there'll be great companies," Altman said in 2015." Altman wasn't even at …
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Comment #47861789
I mean the best argument I see for cursor is that you can easily switch between AIs, which is convenient since they seem to run at 80-90% up time (with those 10-20% clustered at We…
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Comment #47168307
Why does SynthID make it worthless? it helps other platforms detect this as ai?
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Comment #47155682
We use semantic information inferred from comments and submissions. I think using stylometry would be a great addition, but it would be hard to google for "guy who writes fanciful …
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Comment #47155346
We test different methods, in section 2, we use LLM agents to agentically identify people. We don't share any code here, but you could try with various freely available agents on y…
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Comment #47155311
We essentially don't use stylometry but semantic information revealed from peoples' comments – clues and interests. (We use a little stylometry in a single experiment in section 5)…
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Comment #47155204
We essentially don't use stylometry but semantic information – clues and interests.
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Comment #47155104
That's a great background paper on the Netflix attack, we make a pretty direct comparison in section 5. We also try to use similar methods for comparison in sections 4 and 6. In se…
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Comment #47155036
I agree that these accounts probably on average still contain more information than the average pseudonymous account. I think we could try to use the LLM to increasingly ablate mor…
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Comment #47154939
We do advocate for stricter controls on data access on social platforms because of this. There is a bit of an unfortunate trade-off, but I think allowing mass-scraping or downloads…
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Comment #47154739
Mitigations are pretty difficult, I understand it is kind of cool that some websites have really open APIs where you can just read everything. There are some cool apps that used HN…
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Comment #47154681
There is also a practical issue here that people usually don't write a lot on linkedin, most people just have structured biographical information. We use very limited stylometry in…
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Comment #47154477
We don't use (much) stylometry, so this won't help. This is totally something you could try, but we use interests and clues. Semantic information you reveal about yourself. The blo…
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Comment #47154445
To be clear, we are making a clear concession here that the people weren't truly anonymous. But we did use an LLM to remove any identifying information from HN making them quasi-an…
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Comment #47144915
There goes all the prompt engineering jobs
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Large-Scale Online Deanonymization with LLMs
Pdf: https://arxiv.org/pdf/2602.16800 (via https://arxiv.org/abs/2602.16800 )
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Comment #47024076
From what I understand this is a fully open-source bot that anyone can run with no restrictions. what a time to be alive, let's see what these bots will break first
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Comment #46885131
The energy collected from the solar panels must be converted into heat in the AI chips. It's really like putting the AI chips directly into the sun, just with extra steps. Sunlight…
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Comment #46826606
It's cold in a sense that is not very relevant. Your tumbler has a vaccuum layer because vaccuum does not transport or absorb any heat. you need those atoms to carry away heat.
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Comment #46824871
Space doesn't seem like a good place to build datacenters at all. Cooling is going to be an enormous issue, how do you disperse of heat in a vaccuum? Radiators are very ineffective…