danielbln

5 ms·

1.
by danielbln 4d ago
I carefully bottle feed every function by hand, and let it out to pasture at least twice a day.
2.
by danielbln 4d ago
The same. Think in systems, interfaces, integrations, the problem at hand. Zoom out, leave the grunt work and yak shaving to the machine, and keep your eyes on the price. If you only get satisfaction when you hand set functions in a particu
3.
by danielbln 4d ago
Same here. Loved hacking on things from all angles, still do. The only thing lost to me now is the yak shaving, and good riddance. I want to think in systems, solutions, integration, and first and foremost the higher level problem, not nitt
4.
by danielbln 7d ago
Well, this one folds, so you get a much larger screen surface that still fits in your pocket. And $200 won't get you that from any vendor. And while the low end phones have gotten amazingly good, a flag ship will still have a much bett
5.
by danielbln 11d ago
Na ja, "keiner" ist vielleicht etwas kurz gegriffen bei der nach Englisch am häufigst gesprochenen Sprache.
6.
by danielbln 12d ago
If capability increase continues as it has, then an incident that cannot be resolved by AI will stump humans no matter the practice. I like the plane example from the article,but I think in reality it will be like code. 1.5 years ago engine
7.
by danielbln 17d ago
I may or may not have told my agent to run the "open" command on a text file.
8.
by danielbln 17d ago
Implementation does matter, my point is that different implementations can lead to the same result. And why compare to the brain? Mostly because of complexity. I can't interface with a bacteria in any meaningful way, but I can interfac
9.
by danielbln 17d ago
There are strong indications that brains are prediction engines. Tokens are an implementation detail of LLMs and irrelevant to the discussion.
10.
by danielbln 18d ago
Not more than a bunch of neurons have conciousness. But put them together and wire them up just right..
11.
by danielbln 26d ago
We are seeing the same. We are moving significantly faster and ship more complex stuff, and there are still bugs as they were in the before times, but nothing catastrophic, no gremlins in the machine. Our main worry is about process and com
12.
by danielbln 1mo ago
Why can't an emergent capability arise in service of a predictive objective?
13.
by danielbln 1mo ago
Where is the reasoning in synaptic transmission?
14.
by danielbln 1mo ago
Maybe speak for yourself, or if you insist on that tone, don't even do that.
15.
by danielbln 1mo ago
I've been raw dogging Claude Code for the better part of last year as well, but I'm under no illusion that it's safe to do so, I just cannot approve seven trillion approval prompts and stay sane. I've since. switched to
16.
by danielbln 1mo ago
An LLM is more akin to a staffed pro kitchen than a microwave.
17.
by danielbln 1mo ago
I'm in Central Europe and there aren't many manual transmissions around anymore where I am. But if you paint with a brush of two entire continents, you might paint a little too broadly.
18.
by danielbln 2mo ago
That article is surprisingly prescient.
19.
by danielbln 2mo ago
I would wager not a lot. There are some real hard constraints in space, from power consumption, to weight to thermal output (lack of convection is a real PITA for thermal shedding), and the list goes on.
20.
by danielbln 2mo ago
If my laptop breaks I'm not going back to pen and paper, I'm buying a new/different laptop.
21.
by danielbln 2mo ago
Same here, iterm2 with CC in fullscreen mode and I haven't seen a flicker or other TUI display bug in months.
22.
by danielbln 2mo ago
OP is delusional or deliberately optuse. I work in the space and stare down these systems 12h/day, and saying the systems haven't meaningfully improved is ludicrous.
23.
by danielbln 2mo ago
Cost.
24.
by danielbln 2mo ago
This made me chuckle because it's so true. So much detailed steering and finagling in the past, now I point the agent to a bunch of information sources, skills, similar repositories that might hold useful input and tell it very roughly
25.
by danielbln 2mo ago
> AI of being forced within the limits of their training AI doesn't exist in a vacuum, it's the sum of training, inputs and outputs. If I give it novel inputs, the outputs won't be solely within the limits of their trainin
26.
by danielbln 2mo ago
Yeah I hear that all the time "someone needs to clean up the slop tech debt" yet in the before times there was plenty of tech debt no one ever cleaned up, why would that be different now.
27.
by danielbln 2mo ago
And that sort of yak shaving is something LLMs are great at.
28.
by danielbln 2mo ago
I don't see why a strong model wouldn't significantly outperform any human in this sort of low level optimization work. We don't hand optimize assembly either.
29.
by danielbln 2mo ago
The competitive edge lies with the higher attraction layer, not the nitty gritty implementation detail (any more). Is that still software programming? The human work lies in the what and why and in broad strokes how
30.
by danielbln 2mo ago
No one is stopping you. It's only if you want someone to pay you for hand writing code that you might feel a certain competitive pressure that makes it economically difficult, let's say.

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