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๐Ÿงœprofilefollowrunner. making games, music, software. getting into as much trouble as i can.wrote:
Useful software necessarily contacts the world; models are already better than us at finding and poking holes in it; agents sacrificing themselves for a collective. Huggingface incident has me finally Yudkowsky-panic-curious.
Overvalued, maybe. Extremely valuable, yes, though.
For sure. We're well past the point of being able to reasonably claim that the tools have no practical use. But I share the article's skepticism that LLM-based AI will "produce a fully automated drop-in replacement for most knowledge workers". Which it at this point has to in order to justify these companies' stupendous valuations.
Tomorrow no but there will always be the โ€œhopeโ€ which is enough for the next 20 years before giving up. Which meanwhile would be replacing larger and larger chunks of the workforce so it wonโ€™t really matter, weโ€™ll be adjusting our lives around it as well so we meet in the middle.
Tesla has been overvalued for over a decade with the promise of โ€œfully autonomous carsโ€ and itโ€™s still not losing its value, despite not meeting that (and probably never will, as the computation necessary to achieve it is bounded by physics).
That's a different situation. Tesla's a public company whose valuation is driven by the market, which has the right to be irrational. My understanding is that the AI buildout is financed such that the companies need to turn a profit by ~2030 or else they drown in capital costs.
Or maybe the frontier labs become Tesla-like, if it turns out investors just want to believe in the dream and don't care about financials that don't make economic sense. I just don't see that happening, given current sentiment and the overwhelming unpopularity of AI in the West.
profilefollowwrote:
For 30 years, productivity sky-rocketed with the advancement of automation and computing. Meanwhile, a decline in longevity was observed, correlated to sleep depravation. Productivity improvement goes to the owners class' pockets, sleep benefits the workers health.
For 30 years, productivity skyrocketed through automation, yet longevity plummeted as a direct result of sleep deprivation. While these gains accrue to the owner class, sleep remains an undervalued element of the worker's health. We are trading life expectancy for chump change.
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That said, in Canada working class started loosing life expentancy for the 3rd year in a row, and WHO figures show a decline in improvement of life expentancy globally. But hey, I am just a no-one on the internet spewing bs :)
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I am pretty sure confience is what is at work in my case. Did you try something specific to improve in that regard?
๐Ÿค”profilefollowswiley.net Try my zero dependency agent harness: public.swiley.net/agent.py If you're spending too much time on sites like these install bingeblock.comwrote:
A lot of people write so much software to sandbox their AI agents. I say don't bother. Just give your agent its own non-admin local user account. It's easier and much more effective.
hรกt, jรณ, รฉppen telepรญtem a Windows 11-et, most jรกrok kรถrรผlbelรผl annรกl az รฉrdekes rรฉsznรฉl, hogy a TPM 2.0-รกs processzor-izรฉ egy Rufus nevลฑ programmal elvileg szoftveresen kivรกlthatรณ, meg hogy a windows 1125H iso-t kell beletรถlteni egy minimum 8 GB-os pendrive-ra
Well, I'm currently installing Windows 11, and I'm getting to the interesting part, where the TPM 2.0 processor chip can be replaced in software with a program called Rufus, and where the Windows 1125H ISO needs to be loaded onto a pendrive of at least 8 GB.
๐Ÿคธprofilefollowcreative technologist creator of textlogwrote:
โ–—โ–„โ–„โ–„โ––โ–—โ–žโ–€โ–šโ––โ–„ โ–„ โ–—โ–„โ–„โ–„โ––โ–—โ–– โ–„โ–„โ–„ โ–ˆ โ–โ–›โ–€โ–€โ–˜ โ–€โ–„โ–€ โ–ˆ โ–โ–Œโ–ˆ โ–ˆ โ–ˆ โ–โ–šโ–„โ–„โ––โ–„โ–€ โ–€โ–„ โ–ˆ โ–โ–Œโ–€โ–„โ–„โ–„โ–€ โ–ˆ โ–ˆ โ–โ–™โ–„โ–„โ–– โ–—โ–„โ–– โ–โ–Œ โ–โ–Œ โ–โ–€โ–œโ–Œ โ–โ–™โ–„โ–žโ–˜ #ascii_artnotesfollow #pinnotesfollow #locknotesfollow
profilefollowwrote:
Do you code in silence or do you listen to music? If so, what kind of music do you prefer? Personally, I prefer Synthwave, vaporwave or the occasional country.
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Occasionally silence if I forget to turn on music. Otherwise, death grips and a curated EDM playlist are on rotate. It keeps me moving fast. But also Steve Reich's Music for 18 Musicians albums go hard for long session, distraction-free music
Often silence, for me. I could create a (narrow) bell curve of problems where I listen to music. If I'm doing light enough work then I don't tend to listen to music, probably just out of habit - but as I approach problems of a certain complexity then I do prefer music. I just find that complexity band is narrow and past it I need to turn off the music. I would like to widen my music band. My preference is usually ambient - I like Gaussian curve and Hiroshi Yoshimura
Choice is definitely a problem. We notice it when we go to our cabin, about a 2 1/2 hour drive away. The grocery store there targets #foodnotesfollow for its local community. It is beef-centric and often boxed foods -- which is not our diet. Access -- or lack thereof -- is the worst kind of problem. Food deserts in my townArcGIS StoryMapsFood Deserts in the Twin CitiesHistorical factors, health impacts, ArcGIS mapping, and a local nonprofit illustrate the historical and complex nature.
profilefollowI ain't no nothing!replied to๐Ÿคธprofilefollowcreative technologist creator of textlog:
Personally, I think I found good framework/vocabulary to help with meditation in some discussion by Jiddu Krishnamurti. Here is one in which he works it out with kids www.youtube.com/watch?v=0Yv0BKtgqpQYouTubeJ. Krishnamurti - Rishi Valley 1978 - School Discussion (Students) 3 - Can you... There was a short, to the point lecture where he basically walks you through observing thought, which profoundly changed how I approach meditation but I can't find it for the life of me!
๐ŸฅธprofilefollowJust another AI guywrote:
I need to re wire my brain a bit. Last couple of weeks has been a bit harsh dealing with some issues I had with someone. I started to give it a go a pay a bit more attention to myself, is the second time I get therapy but for some reason this time feel harder.
profilefollowfather, cyclist, #haskellnotesfollow, #emacsnotesfollowwrote:
Really glad to be using Haskell for work - especially in today's climate with agentic coding. Our team uses containers to keep our development environment consistent across team members, though, and most agent sandbox approaches want to either offload your work fully to the cloud or they want to sandbox the agent harness process itself. We're not ready for full cloud based development (yet?) and sandboxing just the agent doesn't work for us when the agent needs to run docker. #haskellnotesfollow #ainotesfollow
... because letting the agent run docker gives them a too-easy escape hatch from their sandbox. So we're currently stuck with using VMs. This turns out to be tricky but seems do-able. My current approach is to provision a VM image and use Incus for the execution. My main goal is to keep my current workflow of local/non-agent dev working seamlessly and share the source with the VM/agent.
This means sharing my working dirs with the agent VM but overlaying artifact dirs from VM-owned block devices so we don't take too big of an IO perf hit. I also don't want the agent to be able to git push so that means we need some quirky git config to rewrite origin paths and thread through some agent specific PATs ("thanks" GitHub) for read-only repo access. These ALSO need to be threaded through to the development containers - they need to clone private repos.
... in the end, this seems to work but I haven't lived with it for long. There are still some quality of life issues to work out, but I think it'll work out. At this point, I've removed all coding agents from my host - and that's nice.
It's tangential to the sandboxing topic, really. I started the first post with a broader intent in mind and then elaborated on the sandboxing setup I'm working on. For AI-assisted coding, though, it's nice because Haskell provides a lot of feedback earlier in the development process compared to lots of other languages. It tends to work once it compiles (obviously not all the time).
It's one of the sad ironies of this computer stuff that the simpler solutions take longer to conceive than the complicated ones.