Tootfinder

AliExpress trackt Nutzer via unhörbarem Audio-Fingerprinting
AliExpress nutzte die Web Audio API, um Geräte per unhörbarem Audiosignal zu identifizieren. Ein Entwickler entdeckte das Tracking durch Bluetooth-Probleme.

AliExpress trackt Nutzer via unhörbarem Audio-Fingerprinting
AliExpress nutzte die Web Audio API, um Geräte per unhörbarem Audiosignal zu identifizieren. Ein Entwickler entdeckte das Tracking durch Bluetooth-Probleme.

#ADTs (Algebraic Data Types) in #Java
https://rockthejvm.com/articles/algebraic-data-types-in-j…

»Da du mit $ACCOUNT interagiert hast, interessiert dich vielleicht auch $ANDERER_ACCOUNT.«
Ich habe von $ACCOUNT zwei Shorts geschaut und bin dann wieder gegangen. Das ist etwa zwei Wochen her. Interaktion würde ich das jetzt noch nicht nennen wollen. Gnah! #alleskaputt

Last year, we covered how Anthropic was buying physical books,
scanning them,
and destroying them to feed their Claude chatbot.
Judge William Alsup ruled this fair use.
In particular, he said mulching the books was perfectly fine because making them digital was
“exceedingly transformative”: [Order on Fair Use, 2025, PDF]
The print original was destroyed.
One replaced the other.
And, there is no evidence that the new, digital copy was shown, s…

AI vendors are destroying rare books to feed the chatbot
Every AI vendor trains their chatbots on the Common Crawl, a copy of the whole public internet. But that’s just the starting point. AI vendors are desperate for more data — in the hope of making th…

AliExpress: EU-Kommission verhängt DSA-Rekordstrafe
Der chinesische Onlinemarktplatz AliExpress hat über Jahre gegen den Digital Services Act verstoßen und muss nun 550 Millionen Euro zahlen.
https://www.

AliExpress: EU-Kommission verhängt DSA-Rekordstrafe
Der chinesische Onlinemarktplatz AliExpress hat über Jahre gegen den Digital Services Act verstoßen und muss nun 550 Millionen Euro zahlen.

from my link log —
Relation algebra ≠ relational algebra.
https://remy.wang/blog/ra-ra.html
saved 2026-09-21 https://dotat.at/:/NP634.html

Geometric Configurations of Perturbed Jailbreak Prompts
Lynn Delcon, Andres Algaba, Vincent Ginis
https://arxiv.org/abs/2607.20581 https://arxiv.org/pdf/2607.20581 https://arxiv.org/html/2607.20581
arXiv:2607.20581v1 Announce Type: new
Abstract: Perturbation techniques that turn unsuccessful jailbreak prompts into successful ones are continuously evolving, constituting a major security threat to LLM safety. In this paper, we investigate the internal representations of such string-level perturbed jailbreak inputs in the small weight models of the Qwen-2.5-1.5B/-3B/-7B-Instruct and Llama-3.2-1B/-3B/-3.1-8B-Instruct families. We select two representation spaces: the last-layer-last-token embedding space and the top-50 next-token probability space. The former space separates prompts based on their spelling and format, while the latter space is effectively one-dimensional but appears more complex to cluster. Within our refusal-dominated answer set we find no behavioral hyperplane in either space. Only the next token "Sure" in the 1.5B Qwen model, and both tokens "," and "\.C\.C" in the 1$ Llama model, display a significant association with a compliant-labeled answer.
toXiv_bot_toot

RE: https://mastodon.social/@alshafei/117290468286845254
Source for first image:

Ich bekomme Spam mit Absender "support@python.org". Gnah! #alleskaputt

10 Cheap #AliExpress #Zigbee SmartButtons Tested and Compared
https://smarthomescene.com/reviews/ali