Current #jjnotesfollow aliases:
# The canonical tug
tug = ["bookmark", "move", "--from", "closest_bookmark(@-)", "--to", "@-"]
# Show my current work-in-progress(es). To wip it, whip it good.
wips = ["log", "-r", "bookmarks() | description(exact:'')"]
Any #Netflixnotesfollow shows recommendations? I have no idea what is worth watching (since I rarely watch shows) so now Iโm watching The Mentalist from 2008. They had flip phones then.
Testing this quiet corner of the web. I collect small notes about everyday tools ๏ฟฝ๏ฟฝ file formats, tiny utilities, offline workflows. First post is just a hello; longer notes will follow once I settle in. Plain text feels good after years of heavy editors.
For the first time in a couple of year, I wove a rattan basket today, and the best part is it only took two hours when I was expecting it to take all day #basketrynotesfollow
some people do absolutely improve their work output (either amount or quality) with AI, but most people just resign all their critical thinking to the black box.
if you cannot function at YOUR WORKPLACE without ai, chances are that, 99% of the time, you never was supposed to work there in the first place.
#ainotesfollow#worknotesfollow#technotesfollow
Is this true? Sometimes, AI allows for socratic thinking, this is, the conversation with the machine allows the thinker to go further as the AI thorws ideas to the conversation. Many times, the AI reasoning is not good enough, but like a friend that says a funny think that sparks an idea, the AI can help our brain to see other possible paths.
The AI doesn't need to be right to be helpful
that's only true if a) that "rubber ducky" entity is not leading the line of thinking down the wrong path, and b) the human thinker is actually doing the critical thinking, and not the machine.
The latter is where my criticism of unbridled AI use is in this case, wherein the human becomes the rubber ducky instead of the other way around.
A problem I perceive is usage of AI to launder ignorance.
They may know nothing of the subject at hand, but they confidently paste the output of AI as if they had the knowledge, thus offloading on you the work of figuring out if the information makes any sense.
In many ways it emboldened the incompetent.
โPassion has little to do with euphoria and everything to do with patience. It is not about feeling good. It is about endurance. Like patience, passion comes from the same Latin root: pati. It does not mean to flow with exuberance. It means to suffer.โ
โ Mark Z. Danielewski, Ho
Totally, I'm glad they're at least trying something new (for Apple).
It just underscores the general failure of imagination vibes I get from everything in tech nowadays. Most of the industry is breathlessly chasing a 20th century "golden age of scifi" vision of AI. And Apple's over there diligently trying to improve upon other companies' products from five years ago.
At least no one's talking about the metaverse anymore.
yea its kind of sad how the design language has all converged to the same phones and laptops. 1990s/2000s tech had so much swag and fun with design, especially japanese brands. i like what nothing does, the uk smartphone brand. at least they have some identity.
and yea the metaverse to my mind was just a meme eversince they introduced it, like I know exactly 0 ppl that own a vr headset, and im with the nerds here. just shows zuck is surrounded by yes men
Finally got around to setting up Remux on my phone so I can connect to tmux sessions when I'm not at my laptop. Even just for around the house, this seems like it'll be super useful.
This is for monitoring/poking agentic coding sessions while I'm not at my computer. So, typically Claude, Emacs, and an overmind process running my app locally in different panes of a tmux window.
Call me old fashioned, but instead of adopting one of the "agentic coding orchestration frameworks" that seem to basically be reinventions of tmux, I've been tweaking my tried-and-true tmux-oriented workflow to incorporate agentic coding harnesses in an ergonomic way. I'm currently still using Claude Code, but getting Pi-curious as local models advance.
I will be dead, and many years will pass after that, before local models are capable to match those of the big companies, unless their intended use is banal.
It seems like we've reached a point where mid-grade frontier models like Sonnet are good enough for most day-to-day tasks. And Sonnet-grade models are already runnable on the higher end of consumer hardware.
In which case, I can imagine a workflow where local models serve as workhorses for implementing plans that you may bump up to e.g. Opus or Sol to produce.
I never have enough time but Iโd love to do a bit more recreational programming with esoterical languages like kitten, #uiuanotesfollow, and #jqnotesfollow. AoC and Project Euler are good because they just require an answer but thereโs also loads of simple puzzles online that rely on being able to submit the code in common languages. Iโve been wondering, however, if I could use an LLM to take those problems and create a verification harness for any language I like.
Applied to an L5 software engineering role via e-mail and without any other contact I received back a bunch of questions that clearly look like they're aimed at L6 or even L7. Not sure what to do with that so I withdrew. Briefly considered answering them but was weirded out.