Hacker News: DalasNoin

Where does the race to automate AI research end?

DalasNoin — Tue, 02 Jun 2026 18:48:38 +0000

Article URL: https://simonlermen.substack.com/p/where-does-the-race-to-automate-ai

Comments URL: https://news.ycombinator.com/item?id=48374492

Points: 2

# Comments: 0

New comment by DalasNoin in "Goodbye Visa and Mastercard: 130M Europeans switching to sovereign payment"

DalasNoin — Wed, 20 May 2026 13:33:03 +0000

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 used it. I mean would be great, getting rid of CC fees could literally lower grocery prices by 1-2%.

New comment by DalasNoin in "Why AI companies want you to be afraid of them"

DalasNoin — Wed, 29 Apr 2026 16:23:53 +0000

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 OpenAI at that point, so why would that be marketing?

New comment by DalasNoin in "SpaceX says it has agreement to acquire Cursor for $60B"

DalasNoin — Wed, 22 Apr 2026 11:00:13 +0000

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 West coast working hours). But the big AI companies are likely to keep an edge over Open-source fine-tunes and they are able to subsidize the coding agents in a way Cursor can't.

New comment by DalasNoin in "Nano Banana 2: Google's latest AI image generation model"

DalasNoin — Thu, 26 Feb 2026 16:33:09 +0000

Why does SynthID make it worthless? it helps other platforms detect this as ai?

New comment by DalasNoin in "Large-Scale Online Deanonymization with LLMs"

DalasNoin — Wed, 25 Feb 2026 18:33:56 +0000

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 using many puns" rather then "indie developer in Switzerland". I think stylometry could be better used for verification, once you have a small set of candidates stylometry could further narrow down the candidates and be used to make a decision.

New comment by DalasNoin in "Large-Scale Online Deanonymization with LLMs"

DalasNoin — Wed, 25 Feb 2026 18:13:30 +0000

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 yourself.

New comment by DalasNoin in "Large-Scale Online Deanonymization with LLMs"

DalasNoin — Wed, 25 Feb 2026 18:11:52 +0000

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)

New comment by DalasNoin in "Large-Scale Online Deanonymization with LLMs"

DalasNoin — Wed, 25 Feb 2026 18:05:23 +0000

We essentially don't use stylometry but semantic information – clues and interests.

New comment by DalasNoin in "Large-Scale Online Deanonymization with LLMs"

DalasNoin — Wed, 25 Feb 2026 17:58:17 +0000

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 section 5 we transform peoples Reddit comments into movie reviews with an LLM and then see if LLMs are better than naraynan purely on movie reviews. LLMs are still much better (getting about 8% but the average person only had 2.5 movies and 48% only shared one movie, so very difficult to match)

New comment by DalasNoin in "Large-Scale Online Deanonymization with LLMs"

DalasNoin — Wed, 25 Feb 2026 17:53:41 +0000

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 more information and see how it performance decays – to be clear we already heavily remove such information, see Table 2 appendix. But I don't expect that to change the basic conclusions.

New comment by DalasNoin in "Large-Scale Online Deanonymization with LLMs"

DalasNoin — Wed, 25 Feb 2026 17:45:58 +0000

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 of data from social sites can be misused in increasingly more ways.

New comment by DalasNoin in "Large-Scale Online Deanonymization with LLMs"

DalasNoin — Wed, 25 Feb 2026 17:33:40 +0000

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 data in the past. But I think there should at least be consideration that LLMs are then going to read everything and potentially discover things. Users might have thought this is protected by obscurity, who would read their 5 year old comments?

New comment by DalasNoin in "Large-Scale Online Deanonymization with LLMs"

DalasNoin — Wed, 25 Feb 2026 17:30:43 +0000

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 section 6 for matching reddit users who we synthetically split according to time.

New comment by DalasNoin in "Large-Scale Online Deanonymization with LLMs"

DalasNoin — Wed, 25 Feb 2026 17:18:53 +0000

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 blog post might be more approachable if you want to get a quick take: https://simonlermen.substack.com/p/large-scale-online-deanon...

New comment by DalasNoin in "Large-Scale Online Deanonymization with LLMs"

DalasNoin — Wed, 25 Feb 2026 17:17:21 +0000

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-anonymous, this is more described in the appendix Table 2.

We do also make a more real world like test in section 2. There we use the anthropic interviewer dataset which Anthropic redacted, from the redacted interviews our agent identified 9/125 people based on clues.

The blog post might be more approachable for a quick take: https://simonlermen.substack.com/p/large-scale-online-deanon...

New comment by DalasNoin in "I'm helping my dog vibe code games"

DalasNoin — Tue, 24 Feb 2026 23:20:16 +0000

There goes all the prompt engineering jobs

Large-Scale Online Deanonymization with LLMs

DalasNoin — Tue, 24 Feb 2026 17:18:17 +0000

Pdf: https://arxiv.org/pdf/2602.16800 (via https://arxiv.org/abs/2602.16800)

Comments URL: https://news.ycombinator.com/item?id=47139716

Points: 364

# Comments: 234

Large-scale online deanonymization with LLMs

DalasNoin — Fri, 20 Feb 2026 17:25:01 +0000

Article URL: https://arxiv.org/abs/2602.16800

Comments URL: https://news.ycombinator.com/item?id=47090929

Points: 3

# Comments: 0

New comment by DalasNoin in "Kimi Claw"

DalasNoin — Sun, 15 Feb 2026 14:43:13 +0000

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