Tootfinder

»Der Optimismus der Schweizer IT-Branche lässt weiter nach:
Wirtschaftliche Unsicherheiten und der ausbleibende Nutzen neuer Technologien wirken sich aus, zeigt der neuste Swico-Index.«
Nicht dass die CH IT-Branche grundsätzlich schlecht ist aber mMn ist die zu fixiert auf MS & Co. der Closed-Source Lösungen und deswegen von denen abhängig.
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Der Optimismus der Schweizer IT-Branche lässt weiter nach
Wirtschaftliche Unsicherheiten und der ausbleibende Nutzen neuer Technologien wirken sich aus, zeigt der neuste Swico-Index.

Addiction (Speculatve)
Kind of a fucked-up metaphor, but I was thinking yesterday that parenting is a lot like addiction. If you separate me from my child, I'll take completely irrational and desperate actions to get them back, driven by a deep instinct that goes well beyond "love." I'll also make self-disadvantageous long-term decisions like forgoing sleep, working an extra job, or quitting a job to do some combination of providing for and/or being present with my child.
Even in parenting situations where love is absent, and beyond, I think, the possessiveness that sometimes festers in those situations, there's often (although not always) a craving for simple presence of the child.
In a healthy relationship, there's a whole lot more than this, but it's interesting to me that the same obsessive craving and absolute priority that we think of as diseased and/or monstrous in someone addicted to a hard drug can be healthy in the right context (that is, when it doesn't contribute to abusive or twisted parental relationships but instead exists alongside a healthy amount of love and respect).
Makes me wonder if there are ways to have a truly healthy drug addiction, although I recognize the answer might well be "no" and that even if it's "technically/theoretically yes" it might still be harmful to hype up or even merely discuss that possibility since it might help addicted people in harmful addictions more easily justify inaction. At minimum I think any "yes" answer here involves assuming utopian-level differences from our current society.
#Parenting #Addiction

A-MHA*: Anytime Multi-Heuristic A*
Ramkumar Natarajan, Muhammad Suhail Saleem, William Xiao, Sandip Aine, Howie Choset, Maxim Likhachev
https://arxiv.org/abs/2508.21637 https://…

A-MHA*: Anytime Multi-Heuristic A*
Designing good heuristic functions for graph search requires adequate domain knowledge. It is often easy to design heuristics that perform well and correlate with the underlying true cost-to-go values in certain parts of the search space but these may not be admissible throughout the domain thereby affecting the optimality guarantees of the search. Bounded suboptimal search using several such partially good but inadmissible heuristics was developed in Multi-Heuristic A* (MHA*). Although MHA* le…

Yes, The News is reaching new heights of bad, but I dont think keywords are really the cause of my suffering.
So I ask myself why they irk me and it generally comes back that I want control over others, which, as tyrants inevitably find out, isn't really possible. Hard enough controlling myself!
So, given what feeble control I have, I ask what needs doing, here, now, and find I need to know what's happening around me, here, now, to answer 😅
My strategy for news is roughly
- compare multiple sources eg AP, Reuters etc
- ignore what anyone says
- ignore claims what they will do or have done
- ignore predictions and interpretations
- be skeptical of causal inferences
- attend to what was actually done
The first and last when combined are often amusing in which actual observations are included or left out. Humans are awfully clever, and so cunning in their rhetoric 🤣

ORACLE: A rigorous metric and method to explore all near-optimal designs for energy systems
E. M. Turan, S. Moret, A. Bardow
https://arxiv.org/abs/2509.26452 https://

ORACLE: A rigorous metric and method to explore all near-optimal designs for energy systems
Optimization models are fundamental tools for providing quantitative insights to decision-makers. However, models, objectives, and constraints do not capture all real-world factors accurately. Thus, instead of the single optimal solution, real-world stakeholders are often interested in the near-optimal space -- solutions that lie within a specified margin of the optimal objective value. Solutions in the near-optimal space can then be assessed regarding desirable non-modeled or qualitative aspec…

I tried batch uploading "a couple" (several hundreds) of my GPX tracks from the recent years into #wanderer . It went all smooth! And I finally have the "white areas" which I didn't walk or cycle -- yet! :D
When people ask me if I'm out and about often, I never know what to say. I try to get into nature once in a while, yes.

from my link log —
The baby paradox in Haskell.
https://blog.jle.im/entry/the-baby-paradox-in-haskell.html
saved 2025-08-22

The Baby Paradox in Haskell
Everybody Loves My Baby is a Jazz Standard from 1924 with the famous lyric: Everybody loves my baby, but my baby don’t love nobody but me. Which is often formalized as: \begin{align} \text{Axiom}_1 . & \forall x. \text{Loves}(x, \text{Baby}) \\ \text{Axiom}_2 . \forall x. & \text{Loves}(\text{Baby}, x) \implies x = me \end{align} Let’s prove in Haskell (in one line) that these two statements, taken together, imply that I am my own baby.

Optimal Threshold Signatures in Bitcoin
Korok Ray, Sindura Saraswathi
https://arxiv.org/abs/2509.25408 https://arxiv.org/pdf/2509.25408

Optimal Threshold Signatures in Bitcoin
We formulate the design of a threshold signature scheme as made possible on cryptocurrency protocols like Bitcoin. The funds are secured by an m-of-n threshold signature, where at least m signatures are needed to unlock the funds. A user designs this scheme knowing that a malicious attacker can also obtain the signatures with some probability. Higher thresholds offer more security, but also risk locking the user out of his own funds. The optimal threshold balances these twin effects. Interventi…

Cowboys-Cardinals live stream options amid ESPN-YouTube TV dispute https://www.si.com/nfl/cowboys/onsi/news/dallas-cowboys-arizona-cardinals-live-stream-options-espn-youtube-tv-dispute

Beyond expected value: geometric mean optimization for long-term policy performance in reinforcement learning
Xinyi Sheng, Dominik Baumann
https://arxiv.org/abs/2508.21443 https…

Beyond expected value: geometric mean optimization for long-term policy performance in reinforcement learning
Reinforcement learning (RL) algorithms typically optimize the expected cumulative reward, i.e., the expected value of the sum of scalar rewards an agent receives over the course of a trajectory. The expected value averages the performance over an infinite number of trajectories. However, when deploying the agent in the real world, this ensemble average may be uninformative for the performance of individual trajectories. Thus, in many applications, optimizing the long-term performance of individ…