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If you're a #digitalnomad or interested in the location-independent lifestyle, check out my @Flipboard magazine: flip.it/_megC
I'm actually reasonably with the Kindle as-is, but this is nice. Now someone please fix the @OnyxBoox Go 7, performance is utterly atrocious.
How does @x still not have a way to flag bot responses? They’re completely ruining this platform.
Big oof
Seeing this makes the end-state clearer to me: code that can't be read by humans, run on machines that humans can't access, via inaccessible APIs, trained on data that humans didn't create.
LLMs are starting to get really good at manipulating mostly-opaque-to-humans code (see: their improved ability to reverse engineer machine code/assembly). Additionally, folks are accessing more-and-more of their LLMs in cloud-based environments without ever actually interacting with an LLM API (myself included).
I think it's going to become increasingly likely that the end state is one in which you ask an agentic company to produce some result and it does it via [some system completely opaque to humans] and produces [some output in a format that humans are unable to interpret].
It makes me wonder if our current state of competing LLMs cross-training on each other will eventually become literally impossible (not just logistically so) when they become fully self-recursive and are producing output that even other LLMs can't understand, let alone humans.
I think we're in something of a golden period here where humans are still capable of understanding how things work and how things are run (shell commands! python! node.js!) but it's going to quickly become irrelevant. We're already past the previous high-point where we were able to see reasoning traces for the top-level LLMs.
I'm skeptical that open models will ever get to this point as the economics are working against them (I suspect that they will always need human-generated training materials in one form or another). But it does make me wonder if the upper-echelon companies will end up converging into this high-level "black box that produces outputs" singularity of sorts.
This has been hitting home for me lately as I've been using Claude Projects in a cloud-based environment where I can't see transcripts, look at the machine it's running on, nor even know what commands it's running. I don't even know what languages its writing its code in. We're just a couple steps away from code being completely irrelevant.
Do I know anyone here using @readwise Books? Add me there (username dahdah).
“Apple Quietly Updates Older MacBook Images to Highlight the Notch” Absolute clowns at this point. macobserver.com/news/apple-q…
Jerome Dahdah @ 🇳🇱 retweeted
In lieu of flowers, memorial contributions may be made to:
Johns Hopkins Alzheimer’s Disease Research Center Fund
alzresearch.org/giving/
Alzheimer’s Foundation of America Caregiver Resources
alzfdn.org/donate/
Photo Credit: Tommy Garcia
MacBook gets a new, totally optional way to interact with it and the usual crowd is deeply upset about it. I don’t get it.
Jerome Dahdah @ 🇳🇱 retweeted
“designing much faster than the others” — this so daft and makes it clear they don’t understand design at all. “Designing fast” (or slow) is just not a thing. If you conflate “producing ui by piecing together stuff” and “design” then the former (which is a form of assembly-line practice) can surely be fast or slow.
What makes the practice of design challenging is not how to put a ui or poster together, it’s what the pieces are, what the message is, what is being communicated, how it all works together.
So many of today’s “design” AI tools focus almost exclusively on the production part, on putting stuff together. I’d love to see an AI design tool that forms a deep understanding of a problem over the course of days or months and works like a creative partner. Call me on my bullshit, thinks about the whole, isn’t concerned really about the final arrangement of elements as much as it would understand the story and the message.
Revolut's designers are moving off Figma.
Storonsky spotted one team designing much faster than the others. What they did:
1. Gave an LLM Revolut's design system at the code level
2. Prompted it to build new flows on top of that system
3. Got a live interface they can click through on a laptop or phone, instead of static frames
Result: 3-4x faster. Now he's pushing it to every designer at Revolut.
His job, as he describes it: find what works in one team and spread it across the company.
Full breakdown here:
productmarketfit.tech/p/revo…
Jerome Dahdah @ 🇳🇱 retweeted
PLEASE stop making bots that send random PRs to open source projects. If it's fixing something you are actually going to use that's one thing, but if you're just going through issues and making PRs without even discussing with the maintainers first that's wasting everyone's time. We're now getting 10-20 PRs per day from bots alone. I really don't want to turn off external PRs entirely, including for good contributors. Don't ruin open source for everyone.


























