Tootfinder

Heute nach Wochen mal wieder zu einer etwas längeren #Radtour #rausgeschafft: 25km bei um den Gefrierpunkt fürs #Frostpendeln-Konto, und 124hm fürs Ego, wenn auch die meiste Zeit mit dem elektrischen …

Jets agree to terms with ex-Raider Dylan Parham, likely new starter at guard: Source https://www.nytimes.com/athletic/7109493/2026/03/11/dylan-parham-jets-free-agency-2026/

RE: https://follow.ethanmarcotte.com/@beep/116212648699632674
This is very good. While I don't think the personal choices are available quite the way this makes it seem, a lot of the core sentiments I deeply agree with: Thinking, for ourselves, and working slowly to make what's new and good rather than what's cliche and expected, is very good, and we need to make that choice. A lot.

Schneetreiben, Frostgrenze. Erster Drehtag für #Speckschweiz Doku in BERLIN. Warum dort? Aufklärung später.
Gesamte Ausrüstung mit 3 Kameras und Stativen im Rucksack.

Mandei um diff -r entre dois diretórios e ele estš hš mais de uma hora rodando. Agora que parei pra pensar que são diretórios grandes (87GB) e um deles é um diretório dentro do drive virtual do pcloud (ou seja, acho que funciona como um diretório remoto). Acho que mesmo se eu deixar este computador ligado durante toda a noite este comando não vai terminar de rodar. 😬

I agree with the following but understand why folks would like to be private too!
Fernando Borretti:: "I Wish People Were More Public"
Probably not a popular thing to say today. The zeitgeisty thing to say is that we should all log off and live terrible cottagecore solarpunk lives raising chickens and being mindful. I wish people were more online and more public. I have rarely wished the opposite. Consider this post addressed to you, the reader." --> Read the whol…

@… oh, they're all at it.
I blame Trident for setting the trend. How dare any project use Linux? The audacity! Where, oh where, is the operating system monoculture that I deserve? That I demand, no less. I demand and you, the minion reader, agree. Ja. After the months―the years―that I spent acting like I own the business. Injustice, I'll have you…

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