@campfireman

13 Followers
86 Following
133 Posts

The root problem with a lot of Fediverse moderation is a problem that is well known the reputation-system literature:

If the cost of creating a new identity is zero then a reputation system cannot usefully express a lower reputation than that of a new user.

A malicious actor can always create an account on a different instance, or spin up a new instance on a throw-away domain. The cost is negligible. This means that any attempt to find bad users and moderate them is doomed from the start. Unless detecting a bad user is instant, there is always a gap between a new fresh identity existing in the system and it being marked as such.

A system that expects to actually work at scale has to operate in the opposite direction: assume new users are malicious and provide a reputation system for allowing them to build trust. Unfortunately, this is in almost direct opposition to the desire to make the onboarding experience frictionless.

A model where new users are restricted from the things that make harassment easy (sending DMs, posting in other users’ threads) until they have established a reputation (other people in good standing have boosted their posts or followed them) might work.

@energy this week was a great cross section of Germany's strengths and weaknesses in terms of renewable energy. The lack of energy storage was most apparent to me. #solarpunk

LLM-Assisted Deanonymization

Turns out that LLMs are good at de-anonymization:
We show that LLM agents can figure out who you are from your anonymous online posts. Across Ha... https://www.schneier.com/blog/archives/2026/03/llm-assisted-deanonymization.html

#de-anonymization #Uncategorized #anonymity #LLM

LLM-Assisted Deanonymization - Schneier on Security

Turns out that LLMs are good at de-anonymization: We show that LLM agents can figure out who you are from your anonymous online posts. Across Hacker News, Reddit, LinkedIn, and anonymized interview transcripts, our method identifies users with high precision ­ and scales to tens of thousands of candidates. While it has been known that individuals can be uniquely identified by surprisingly few attributes, this was often practically limited. Data is often only available in unstructured form and deanonymization used to require human investigators to search and reason based on clues. We show that from a handful of comments, LLMs can infer where you live, what you do, and your interests—then search for you on the web. In our new research, we show that this is not only possible but increasingly practical...

Schneier on Security

Kicking off #MARCHintosh with the smallest Mac ever: the Pico Micro Mac!

Check out the video on Level 2 Jeff: https://www.youtube.com/watch?v=-gOS22wEpmU

Nicholas Jeeves looks at the "Roy Gold Collection", a remarkable library of around 9000 books, the vast majority of which have been carefully and systematically defaced by the elusive Gold... https://publicdomainreview.org/essay/remembering-roy-gold-who-was-not-excessively-interested-in-books
@gabrielesvelto Really cool insight! Now I understand why Linus Torvalds was so angry with Intel making ECC an enterprise feature.. I wonder whether your metric is correlated with solar events

Motorola announces a partnership with GrapheneOS Foundation
https://motorolanews.com/motorola-three-new-b2b-solutions-at-mwc-2026/

> Motorola and the GrapheneOS Foundation will work to strengthen smartphone security and collaborate on future devices engineered with GrapheneOS compatibility.

This could be a gamechanger. Congratulations to @GrapheneOS, fingers crossed this works out well!

#InfoSec #GrapheneOS

Motorola News | Motorola's new partnership with GrapheneOS

Motorola announces three new B2B solutions at MWC 2026, including GrapheneOS partnership, Moto Analytics and more.

Global Blog

@terminaltilt dumping random thoughts:

- privacy: indeed a big one. especially with the political systems everywhere pushing for surveillance, pushing for privacy really makes you a punk.
- networked: YES! For example, I really like seeing all the blogs with RSS people have on Mastodon. Building my own feeds, subscribing to people's thoughts.

@terminaltilt
Was thinking about what it means for me as well. Tried to fit it into an acronym:

- *S* ustainability
- *O* ptimism
- *L* ife
- *A* utonomy
- *R* esiliency