Tootfinder

Koirilta poistettiin hampaita ilman puudutusta ja pätevyyttä helsinkiläisessä yrityksessä, epäilee poliisi #eläinoikeudet

Koirilta poistettiin hampaita ilman puudutusta ja pätevyyttä helsinkiläisessä yrityksessä, epäilee poliisi
Poliisin mukaan koirien omistajat järkyttyivät operaatioista, joissa heidän lemmikkinsä huusivat kivusta.

Let's say you find a really cool forum online that has lots of good advice on it. It's even got a very active community that's happy to answer questions very quickly, and the community seems to have a wealth of knowledge about all sorts of subjects.
You end up visiting this community often, and trusting the advice you get to answer all sorts of everyday questions you might have, which before you might have found answers to using a web search (of course web search is now full of SEI spam and other crap so it's become nearly useless).
Then one day, you ask an innocuous question about medicine, and from this community you get the full homeopathy treatment as your answer. Like, somewhat believable on the face of it, includes lots of citations to reasonable-seeming articles, except that if you know even a tiny bit about chemistry and biology (which thankfully you do), you know that the homoeopathy answers are completely bogus and horribly dangerous (since they offer non-treatments for real diseases). Your opinion of this entire forum suddenly changes. "Oh my God, if they've been homeopathy believers all this time, what other myths have they fed me as facts?"
You stop using the forum for anything, and go back to slogging through SEI crap to answer your everyday questions, because one you realize that this forum is a community that's fundamentally untrustworthy, you realize that the value of getting advice from it on any subject is negative: you knew enough to spot the dangerous homeopathy answer, but you know there might be other such myths that you don't know enough to avoid, and any community willing to go all-in on one myth has shown itself to be capable of going all in on any number of other myths.
...
This has been a parable about large language models.
#AI #LLM

London's water works https://diamondgeezer.blogspot.com/2024/09/hampton-water-works.html

"Seven years and six months!" Humpty Dumpty repeated thoughtfully.
"An uncomfortable sort of age. Now if you'd asked MY advice, I'd have
said 'Leave off at seven' -- but it's too late now."
"I never ask advice about growing," Alice said indignantly.
"Too proud?" the other enquired.
Alice felt even more indignant at this suggestion. "I mean,"
she said, "that one can't help grow…

Decoding TCP SYN for Stronger Network Security
https://www.netscout.com/blog/asert/decoding-tcp-syn-stronger-network-security
A brief look at TCP SYNs observed by low impact honeypots. I mainly sought evidence for source address spoofing and a…

Decoding TCP SYN for Stronger Network Security | NETSCOUT
Analyzing transmission control protocol (TCP) SYN segments, the initial step in th

@… Hey bzgl. #HomePod im Kontrollzentrum in deinem iPhone/iPad kannst Du den Homepod auswählen und lauter leiser machen.

Amazon’s Schmidt talks China, cyber traps and the battle in the cloud https://therecord.media/amazon-cso-steve-schmidt-interview-madpot-honeypot

Forecasting Geopolitical Events with a Sparse Temporal Fusion Transformer and Gaussian Process Hybrid: A Case Study in Middle Eastern and U.S. Conflict Dynamics
Hsin-Hsiung Huang, Hayden Hampton
https://arxiv.org/abs/2506.20935

Forecasting Geopolitical Events with a Sparse Temporal Fusion Transformer and Gaussian Process Hybrid: A Case Study in Middle Eastern and U.S. Conflict Dynamics
Forecasting geopolitical conflict from data sources like the Global Database of Events, Language, and Tone (GDELT) is a critical challenge for national security. The inherent sparsity, burstiness, and overdispersion of such data cause standard deep learning models, including the Temporal Fusion Transformer (TFT), to produce unreliable long-horizon predictions. We introduce STFT-VNNGP, a hybrid architecture that won the 2023 Algorithms for Threat Detection (ATD) competition by overcoming these l…

Perry: A High-level Framework for Accelerating Cyber Deception Experimentation
Brian Singer, Yusuf Saquib, Lujo Bauer, Vyas Sekar
https://arxiv.org/abs/2506.20770

Perry: A High-level Framework for Accelerating Cyber Deception Experimentation
Cyber deception aims to distract, delay, and detect network attackers with fake assets such as honeypots, decoy credentials, or decoy files. However, today, it is difficult for operators to experiment, explore, and evaluate deception approaches. Existing tools and platforms have non-portable and complex implementations that are difficult to modify and extend. We address this pain point by introducing Perry, a high-level framework that accelerates the design and exploration of deception what-if …