Tootfinder

from my link log —
Connecting an ASR33 Teletype to an ESP32.
https://www.revk.uk/2020/12/connecting-asr33-teletype-to-esp32.html
saved 2020-12-08

Connecting an ASR33 Teletype to an ESP32
As you know, I now have a working ASR33 teletype (see here for notes on restoration). Even though a few more bits to do, notable the case, ...

In early April I'm flying to Florida to play a show with Steve Augeri, 60m of Journey material.
So, just spent the afternoon watching old live videos, and fuck they were awesome and Neal Schon was a total badass.

Soon Facebook will be all bots talking to each other.
Meta to acquire Moltbook, the social network for AI agents https://ground.news/article/d0439ff4-dada-4e45-85b3-9be2b1850797

Spanne der Bruttospeicherleistung von #Batteriespeicher​n pro Inbetriebnahmejahr von Privatpersonen in Deutschland mit Stand vom 07.02.2026.
393 Datensätze ohne #Batteriespeichertechnologie herausgefiltert.
Der Datenbestand enthält unplausible Datensätze.

POL-GF: Pkw komplett ausgeräumt! Wesendorf (ots) - Anstatt den VW T4 als Ganzes zu entwenden, machten sich Diebe die Mühe ihn komplett auszunehmen. So geschehen am Badesee in Wesendorf, im Zeitraum 07.03.-09.03.2026. Der Eigentümer traute seinen Augen nicht, als er feststellte, ... https://www.presseportal.de/blaulicht/p…

I completely agree, Caithyn… or should I say… Claude!
#ai #bots #fediverse

In the ceasefire agreement with the Kurdish-led SDF, Syrian authorities will take over civilian institutions, border crossings and oil and gas fields, effectively ending Kurdish self-rule in Syria.
https://www.bbc.com/news/articles/c4gwk37ewvwo.amp

Syria, SDF agree ceasefire and integration deal - BBC News
President Ahmed al-Sharaa said the deal would allow the Syrian state to reassert control over most areas.

🇺🇦 Auf radioeins läuft...
Agoria feat. Noemie & Rami Khalifé:
🎵 Teardrops
#NowPlaying #Agoria #Noemie #RamiKhalifé
https://sapiensrecords.bandcamp.com/album/teardrops-dont-stop-the-music
Schon gewusst❓
Wenn Du einen Beitrag des Bots ⭐ FAVORISIERST, erfährt das nur der Bot - nicht Deine FollowerInnen.
Wenn Du einen Song weitererempfehlen möchtest, dann 🔁 TEILE ihn❗

Simulation and optimization of the Active Magnetic Shield of the n2EDM experiment
N. J. Ayres, G. Ban, G. Bison, K. Bodek, V. Bondar, T. Bouillaud, G. L. Caratsch, E. Chanel, W. Chen, C. Crawford, V. Czamler, C. B. Doorenbos, S. Emmeneger, S. K. Ermakov, M. Ferry, M. Fertl, A. Fratangelo, D. Galbinski, W. C. Griffith, Z. D. Grujic, K. Kirch, V. Kletzl, J. Krempel, B. Lauss, T. Lefort, A. Lejuez, K. Michielsen, J. Micko, P. Mullan, O. Naviliat-Cuncic, F. M. Piegsa, G. Pignol, C. Pistillo, I. Rien\"acker, D. Ries, S. Roccia, D. Rozp\k{e}dzik, L. Sanchez-Real Zielniewicz, N. von Schickh, P. Schmidt-Wellenburg, E. P. Segarra, L. Segner, N. Severijns, K. Svirina, J. Thorne, J. Vankeirsbilck, N. Yazdandoost, J. Zejma, N. Ziehl, G. Zsigmond
https://arxiv.org/abs/2601.22960 https://arxiv.org/pdf/2601.22960 https://arxiv.org/html/2601.22960
arXiv:2601.22960v1 Announce Type: new
Abstract: The n2EDM experiment at the Paul Scherrer Institute aims to conduct a high-sensitivity search for the electric dipole moment of the neutron. Magnetic stability and control are achieved through a combination of passive shielding, provided by a magnetically shielded room (MSR), and a surrounding active field compensation system by an Active Magnetic Shield (AMS). The AMS is a feedback-controlled system of eight coils spanned on an irregular grid, designed to provide magnetic stability to the enclosed volume by actively suppressing external magnetic disturbances. It can compensate static and variable magnetic fields up to $\pm 50$ $\mu$T (homogeneous components) and $\pm 5$ $\mu$T/m (first-order gradients), suppressing them to a few $\mu$T in the sub-Hertz frequency range. We present a full finite element simulation of magnetic fields generated by the AMS in the presence of the MSR. This simulation is of sufficient accuracy to approach our measurements. We demonstrate how the simulation can be used with an example, obtaining an optimal number and placement of feedback sensors using genetic algorithms.
toXiv_bot_toot

Cynicism, "AI"
I've been pointed out the "Reflections on 2025" post by Samuel Albanie [1]. The author's writing style makes it quite a fun, I admit.
The first part, "The Compute Theory of Everything" is an optimistic piece on "#AI". Long story short, poor "AI researchers" have been struggling for years because of predominant misconception that "machines should have been powerful enough". Fortunately, now they can finally get their hands on the kind of power that used to be only available to supervillains, and all they have to do is forget about morals, agree that their research will be used to murder millions of people, and a few more millions will die as a side effect of the climate crisis. But I'm digressing.
The author is referring to an essay by Hans Moravec, "The Role of Raw Power in Intelligence" [2]. It's also quite an interesting read, starting with a chapter on how intelligence evolved independently at least four times. The key point inferred from that seems to be, that all we need is more computing power, and we'll eventually "brute-force" all AI-related problems (or die trying, I guess).
As a disclaimer, I have to say I'm not a biologist. Rather just a random guy who read a fair number of pieces on evolution. And I feel like the analogies brought here are misleading at best.
Firstly, there seems to be an assumption that evolution inexorably leads to higher "intelligence", with a certain implicit assumption on what intelligence is. Per that assumption, any animal that gets "brainier" will eventually become intelligent. However, this seems to be missing the point that both evolution and learning doesn't operate in a void.
Yes, many animals did attain a certain level of intelligence, but they attained it in a long chain of development, while solving specific problems, in specific bodies, in specific environments. I don't think that you can just stuff more brains into a random animal, and expect it to attain human intelligence; and the same goes for a computer — you can't expect that given more power, algorithms will eventually converge on human-like intelligence.
Secondly, and perhaps more importantly, what evolution did succeed at first is achieving neural networks that are far more energy efficient than whatever computers are doing today. Even if indeed "computing power" paved the way for intelligence, what came first is extremely efficient "hardware". Nowadays, human seem to be skipping that part. Optimizing is hard, so why bother with it? We can afford bigger data centers, we can afford to waste more energy, we can afford to deprive people of drinking water, so let's just skip to the easy part!
And on top of that, we're trying to squash hundreds of millions of years of evolution into… a decade, perhaps? What could possibly go wrong?
[1] #NoAI #NoLLM #LLM