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🌌profilefollowИщу в интернете пространство, напоминающее старый добрый Twitter. Может это то самое?wrote:
Привет! Тут есть кто живой?
Hello! Is anyone alive here?
🥷profilefollowFather, getting older every day, technologist, enterprise architect @ work, like to explore tech. Like to keep it simple and work in the shell, write in vim, prefer Debian if I have the choice. Plays saxophone and clarinet. Enjoy motorcycle riding, photography, hiking. Christian.wrote:
I dag brukte jeg scann&betal rett fra Coop-app’en på Obs. Snakk om smooth opplevelse! #hverdagnotesfollow #forenklingnotesfollow
😎profilefollowwrote:
Avui tenia una reunió llarga de moltes hores, d'aquelles en les que una escolta passiva és suficient durant la major part del temps. He aprofitat el temps per implementar una sincronització en dues direccions entre el meu calendari i el meu sistema de notes en markdown (Emacs Howm). He fet el pla amb Argon (tinc pocs tokens al dia amb la subscripció que tinc), amb feedback meu, i després Gemini Flash l'ha implementat quasi a la primera.
Today I had a long meeting of many hours, one of those where passive listening is enough for most of the time. I took advantage of the time to implement a two-way synchronization between my calendar and my markdown note system (Emacs Howm). I made the plan with Argon (I have few tokens per day with the subscription I have), with my feedback, and then Gemini Flash implemented it almost on the first try.
De retruc, ara el meu chatbot personal ja té accés a la meva agenda (no només a les meves tasques). He modificat una mica el prompt que li envia el servei de systemd que el fa anar, amb la idea que prengui més consciència d'aquest fet. També he modificat el briefing matinal que m'envia el chatbot. Aquest briefing conté una anàlisis de les tasques que tinc durant el dia. Ara tindrà en compte tasques i agenda, així m'ajudarà a prioritzar millor.
In return, my personal chatbot now has access to my schedule (not just my tasks). I have slightly modified the prompt sent to it by the systemd service that runs it, with the idea of making it more aware of this fact. I have also modified the morning briefing that the chatbot sends me. This briefing contains an analysis of the tasks I have during the day. It will now take into account tasks and schedule, thus helping me to prioritize better.
Crec que això m'ajudarà, perquè el chatbot no només és conscient de les tasques i esdeveniments que tinc, també té accés al seu context (totes les notes), inclòs el context personal (el meu diari) així té en compte el meu estat emocional. Així doncs, la idea és planificar millor els meus dies. I si no els planifico millor, almenys delegar moltes de les menudes decisions del dia a dia al chatbot per així preservar energia per a d'altres decisions.
I think this will help me, because the chatbot is not only aware of the tasks and events I have, it also has access to their context (all the notes), including the personal context (my diary) so it takes into account my emotional state. So, the idea is to plan my days better. And if I don't plan them better, at least delegate many of the small day-to-day decisions to the chatbot so that I can preserve energy for other decisions.
Suposo que el següent pas per millorar el meu chatbot és donar-li permís de lectura, i només lectura, al correu electrònic. Més que res per aquells períodes en els que s'acumula correu i vols que algú ràpidament et digui si hi ha quelcom rellevant sota la paperassa. Un LLM que té accés al context de la teva feina, tasques i notes, hauria de tenir certa capacitat per saber si un e-mail és rellevant o no. Però aquestes són figues d'un altre paner i les deixarem per un altre dia.
I guess the next step to improve my chatbot is to give it read permission, and only read permission, to email. Especially for those periods when email is piling up and you want someone to quickly tell you if there's anything relevant under the paperwork. An LLM that has access to the context of your work, tasks, and notes should have some ability to tell if an email is relevant or not. But those are figs from another basket and we'll leave them for another day.
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).
profilefollow#Emacsnotesfollow, dev, life, random stuff. the netherlands.wrote:
Bad night, first the boy woke up at midnight and went with him, then at 4 am heavy rain started so went to bring the bike to the terrace, then thunderstorm and kids were scary, then the cat meowed at 6am. I’m okay.
🧜profilefollow(\ (\ ( • •) ━∪∪━━━━ Full of mostly true stories, I occasionally write them down. Habit of talking to anyone. Bipolar. Author.wrote:
Finished, well you never really finish, setting up fedora + i3 on my ThinkPad X280. Such a lovely form-factor, & the full-screen/tiling approach for the 12.3" display works like a dream.
Ubuntu telepítése a VirtualBoxba rendben megtörtént. Már csak egy ügynököt kell bele fogni, és máris kész az "AI torture chamber", ahogy a Futurism írja... Mondjuk, első körben még nem így fogalmaznék...
Ubuntu has been successfully installed in VirtualBox. All you need to do is add an agent and you have an "AI torture chamber", as Futurism describes it... Let's just say I wouldn't put it that way at first...
🦝profilefollowlate is the hour in which this conjuror chooses to appearwrote:
🐉 #execnotesfollow let N=6,D0=[0,1,0,-1],D1=[1,0,-1,0],s=[],g={},d=x=y=xa=xb=ya=yb=0; for(let n=0;n<N;n++){s=s.concat([1]).concat(s.map(x=>!x).reverse())} for(let i=0;i<s.length;i++) { x<xa && (xa=x);y<ya && (ya=y);x>xb && (xb=x);y>yb && (yb=y); let t=s[i]?1:-1,e=(d+t+4)%4; g[x]||(g[x]={}); g[x][y]=g[x][y]?"┼":"┌┐└┘"[(t*(D0[d]+D0[e])>0?0:2)+(t*(D1[d]+D1[e])>0?0:1)]; x+=D0[e];y+=D1[e];d=e; } for(j=yb;j>=ya;j--) { let u=""; for(i=xa;i<=xb;i++){u+=(g[i][j]||"·")} console.log(u); }
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🦝profilefollowlate is the hour in which this conjuror chooses to appearcontinued:
OK, so you only get 10 lines of output. (I tried to get ChatGPT to write this program but it kept messing up, so I wrote it by hand.)
I'm curious how do people start writing longer novels.. what determines the length of it? Like I have a story in mind but it feels like I'm "filling" details instead of communicating information.
profilefollowOld school metallian, hobbyist developer writing things mostly in Rust…mostlywrote:
Is open source dead? Everyone has the power now to make their own stacks of things. The people aspect of open source is dead or dying. I don't think the bunny is going back in the box.
profilefollowI ain't no nothing!replied toprofilefollowOld school metallian, hobbyist developer writing things mostly in Rust…mostly:
One nice thing about Open Source (at least for me) is different people doing the same thing in different ways and one of those happen to suit my taste perfectly. And in many cases, I won't be able to come with it myself even with Super Intelligence.
profilefollowadamspaul.short.gy/notesreplied toprofilefollowOld school metallian, hobbyist developer writing things mostly in Rust…mostly:
Evgeny Morozov has pointed out that using ai through chat interfaces is based on an individualised and privatised model, which (heavily paraphrased) is inherently anti-social. With an extra layer now of people making small personalised tools, do bigger things still need teams of people who know what they’re doing? FWIW I’d like to see more sharing of vibe coded tools instead of everyone making their own more less the same ones. Mine are here: pauladams.neocities.org
profilefollowI am just a grain of sand on your beach. www.gruntsoft.comreplied toprofilefollowOld school metallian, hobbyist developer writing things mostly in Rust…mostly:
I don't think so. I have been using more open source software than ever before. You may argue that with LLMs I have the power to make my own stack of things, but this doesn't eliminate that I still need knowledge to properly steer an LLM to create something worthwhile. If I have no knowledge of what I intend to build, the best thing the LLM will generate is a half-assed copy of something that already exists. Which is what we have been drowning in the past couple of years.
profilefollowI am just a grain of sand on your beach. www.gruntsoft.comcontinued:
AI can be a superpower in the hands of someone knowledgeable. That makes the people aspect of open source more important, not less. If you offload your curiosity and desire to learn to AI, you will be a slave to it's limitations instead of being a master of its capabilities.
🦛profilefollowStrictly no LLMs. No exceptions.replied toprofilefollowOld school metallian, hobbyist developer writing things mostly in Rust…mostly:
Of course not. I think it is much more relevant to ask "Is closed source dead?". Anyone can now replace a proprietary program with a vibeslopped alternative which might suit them just as well. It will have the same level of trust (ie. none) and none of the other drawbacks.