Tootfinder

Just finished "It's Lonely at the Center of the Earth" by Zoe Thorogood.
CW: Frank/graphic discussion of suicide and depression (not in this post but in the book).
It feels a bit wrong to simply give it my review here as I would another graphic memoir, because it's much more personal and less consensual than the usual. It feels less like Thorogood has invited us into her life than like she was forced to put her life on display in order to survive, and while I selfishly like to read into the book that she benefited in some way from the process, she's honest about how tenuous and sometimes false that claim can be. Knowing what I've learned from this book about Thorogood's life and demons, I don't want her to feel the mortification of being perceived by me, and so perhaps the best thing I could do is to simply unread the book and pull it back out of my memories.
I did not find Thorogood's life relatable, nor pitiable (although my instinct bends in that direction), but instead sacred and unknowable. I suspect that her writing and drawing has helped others in similar circumstances, but she leaves me with no illusion that this fact brings her any form of peace or joy. I wonder what she would feel reading "Lab Girl" or "The Deep Dark," but she has been honest enough to convey that such speculation on my part is a bit intrusive.
I guess the one other thing I have to say: Zoe Thorogood has through artistic perseverance developed an awe-inspiring mastery of the comic medium, from panel composition, through to page layout and writing. This book wields both Truth and Beauty.
#AmReading #ReadingNow

Peace and love, my friends.
Glauber Ribeiro, 2025.

Don’t get me wrong - while using the fountain pen I am still trying to maintain good writing posture and I’m continuing to do my regular hand stretches.
But for a sense of the difference: before, I was happy with the fact that I managed to develop a good pain management routine to allow me to write like 2-3 pages at a time without convulsing in pain.
And now I can write 6 pages nonstop without even thinking or feeling anything. A short 5–10 minute rest and I can come back for more.
This is such a big deal to me. I was able to draw yesterday with a relaxed hand after spending hours writing notes. Before I’d only be able to do one or the other in a day!
And then I finished the evening by writing out a chapter of my novel by hand.
And today my hand is totally fine!!

RE: https://hachyderm.io/@fasterthanlime/115730529166857536
i had "writing a turnkey deployment script for Forgejo Actions runners" on my TODO list for a while & it seems it's time to accelerate that 👀

Just finished The Way of Kings.
while the writing was good and the characters were good it's such a poorly plotted book that it becomes unenjoyable.
Very little happens over 800 pages and while I love character development it's no excuse for how slow this moves. I would have enjoyed this at 500 pages. At 1000 I don't even want to read more.
#books

OK so, I've started cleaning up the PCIe code but also took this opportunity to do some tests.
I'm just writing to a random old SSD I have lying around that I used for some tests a while ago, I have no idea what writing to a random address is doing (I haven't even set a BAR on it so it's probably ignoring me) but the goal is to test the SoC not do anything real.
Here's a 128 byte memcpy to the BAR. It turns into eight 16-byte TLPs, presumably each generated by…

Okay, after a bit of work in #vlang:
- I think I prefer golang though I really prefer the error system of `v`.
- I enjoy writing code in `nim` more than `v`. While I do enjoy `v` more than `rust`, the documentation and support extensions are better for almost every other language which makes things difficult starting out.

I wish we had more people writing more sophisticated concerns about the harms of AI.
"Slop" criticism is important because I think many of us feel we are being gaslit into believing that generative AI is currently creating quality creative output, while Al (henceforth Alfred) is overwhelmingly creating mediocre quality creative work.
Every past winter, Alfred survives in a more focused and refined form. Eliza was a toy chatbot of the 1960s, but what emerged from that is…

acab

Shit.
I got the bug thing again and now I can't use #Mastodon on the web. Refreshing does nothing.
There's a link to copy stuff to the clipboard and the stuff copied says "TypeError: can't access property "pending_requests_count", i.summary is undefined".
Most annoyingly, this happened while I was writing a post, which got lost.

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