@jmoiron.bsky.social Because Codex uses bubblewrap to create unprivileged user namespaces for its workspace isolation, everything it attempts to run fails silently and becomes a user prompt. You will think the prompt settings are broken, but it's just AppArmor again.
It isn't able to debug this prob...
jmoiron plays the blues
@jmoiron.bsky.social Lilli Tagger has ripped several sumptuous down the line winners in Linz; she's got the most aesthetic oney across the ATP/WTA right now and perhaps for some time to come.
The way she holds her left arm down while hitting the backhand reminds me more of Henin than it does of her ...
@jmoiron.bsky.social A friend sent me the NASA "eyes" visualizations and they are absolutely wonderful.
How exactly does JWST stay at L2? Where are JUICE and Europa Clipper on their journey to Jupiter? What do the orbits of exoplanetary systems look like? See for yourself:
science.nasa.gov/eyes/
@jmoiron.bsky.social replied: It's definitely worth tuning into Artemis even if this is "just" a flyby. It's very fascinating and inspiring.
jmoiron/giverny main b49428d finish up ctrl-enter submitting the form; some reorg was necessary as partial form submission was structurally overly complex
jmoiron/giverny main b332fa9 add a card-focused view, filtering cards by various search criteria, saved card views, and implement the quick links in the left nav
@jmoiron.bsky.social replied: Thinking that a text has an inherent meaning that is context free and ideologically neutral is a classic fallacy. His work is apologetics for white nationalists.
@jmoiron.bsky.social Sad to hear that Shinichiro Sato, the drummer of "The Pillows" has passed away.
When I think of Sato, I think of "Funny Bunny", one of their best songs. But I also think about cornering him and Manabe outside Pianos in NYC and asking them to play Swanky Street at their next show...
@jmoiron.bsky.social replied: A lot of this data is made public already, your staffers could certainly understand + summarize it.
Google eg. publishes fairly good sustainability transparency reports which show a clear progression over time: datacenters.google/efficiency/
Or, my summary:
jmoiron.net/blog/on-...
jmoiron/giverny main bf34e08 add side-nav which lets you navigate between boards much more efficiently
@jmoiron.bsky.social replied: The people who are getting the best results have incredibly tight correctness guardrails and are parallelizing the maintenance process, essentially adding a multiplier on top of that 1.5x maintenance advantage, letting their testing controls prune invalid or unfavored results.
@jmoiron.bsky.social replied: A vital skill that good software engineers develop over time is knowing when a pattern is real and affords you leverage to make material organizational improvements and when a pattern is weak or coincidental and extracting it just makes things worse.
LLMs are really poor at this...
@jmoiron.bsky.social replied: I'd like to explore why this happens in a bit more detail, and maybe I will if I get back to that post, but at its core, it comes down to an LLMs "preference" for generation over consolidation compounding over time.
Which isn't surprising. They are generative models.
@jmoiron.bsky.social replied: But LLM code generation is kind of the inverse of that old 3 step owl drawing process. It starts by producing you a nearly finished Owl, and then you spend the rest of your time struggling to get it to fix one thing without breaking another.
@jmoiron.bsky.social replied: It's well known that programmers all think they're at least 2-5x better than they are, that's why our estimates are always crap.
But using an LLM you really can produce some decent software in a proverbial weekend. I "wrote" my own Kanban board over the course of ~3 days this we...
@jmoiron.bsky.social replied: A lot of people are rightfully asking, "If LLMs make software development so much faster, where's all the great software?"
I think the answer is that LLMs are a 10x improvement on building software but only ~1.5x on maintaining it, and most software development is maintenance.
@jmoiron.bsky.social replied: I have a half-written post about how LLMs are great producers and good summarizers, but they've are poor organizers. This might be a reflection on ourselves, given how they're trained.
This can all feel contradictory initially.
@jmoiron.bsky.social Another example of what I wrote about in "Wirth's Revenge."
Your first prompt for an unfamiliar problem should be "explain 3 ways to solve this problem."
People imagine these simple data manipulations are easy for LLMs, but they lack the fine motor skills to do this type of wor...