Tootfinder

Amazon plans to invest $1.4B to build or maintain 14K affordable houses near its offices, on top of its prior $2.2B housing investment in 2021 in WA, VA, and TN (Haleluya Hadero/Associated Press)
https://apnews.com/article/amazon-affordab…

Amazon adds $1.4 billion to affordable housing fund for regions where it has corporate offices
Amazon is adding $1.4 billion to a fund it established three years ago for preserving or building more affordable housing in the regions where the company has major corporate offices. The Seattle-based company said the new sum would go on top of the $2.2 billion it had already invested to help create or preserve 21,000 affordable housing units in the three areas. They include the Puget Sound region in Washington state; Arlington, Virginia; and Nashville, Tennessee. The additional money in Amazo…

Weil es wieder so schön passt: #Stuttgart21 heißt nicht so, weil es 2021 hätte fertig sein sollen. Es heißt so, weil es für's 21. Jahrhundert gedacht ist.
So steht es zumindest in Wikipedia, die Originalquellen sind leider offline.

Stuttgart 21 – Wikipedia

Ich habe heute einen Auftrag für die #PodMixBox bekommen. Ist noch jemand interessiert? Denn dann würde sich der Herstellungs-Aufwand pro Stück deutlich reduzieren und ich könnte günstiger anbieten.
Ähnliches gilt auch für die #EchoStopBox

Banal Deception Human-AI Ecosystems: A Study of People's Perceptions of LLM-generated Deceptive Behaviour
Xiao Zhan, Yifan Xu, Noura Abdi, Joe Collenette, Ruba Abu-Salma, Stefan Sarkadi
https://arxiv.org/abs/2406.08386

Banal Deception Human-AI Ecosystems: A Study of People's Perceptions of LLM-generated Deceptive Behaviour
Large language models (LLMs) can provide users with false, inaccurate, or misleading information, and we consider the output of this type of information as what Natale (2021) calls `banal' deceptive behaviour. Here, we investigate peoples' perceptions of ChatGPT-generated deceptive behaviour and how this affects peoples' own behaviour and trust. To do this, we use a mixed-methods approach comprising of (i) an online survey with 220 participants and (ii) semi-structured interviews with 12 partic…

Relations between monotone complexity measures based on decision tree complexity
Farzan Byramji, Vatsal Jha, Chandrima Kayal, Rajat Mittal
https://arxiv.org/abs/2406.07859

Relations between monotone complexity measures based on decision tree complexity
In a recent result, Knop, Lovett, McGuire and Yuan (STOC 2021) proved the log-rank conjecture for communication complexity, up to log n factor, for any Boolean function composed with AND function as the inner gadget. One of the main tools in this result was the relationship between monotone analogues of well-studied Boolean complexity measures like block sensitivity and certificate complexity. The relationship between the standard measures has been a long line of research, with a landmark resul…