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๐Ÿ˜€๐Ÿ˜ƒ๐Ÿ˜„๐Ÿ˜๐Ÿ˜†๐Ÿ˜…๐Ÿ˜‚๐Ÿคฃ๐Ÿ˜Š๐Ÿ˜‡๐Ÿ™‚๐Ÿ™ƒ๐Ÿ˜‰๐Ÿ˜Œ๐Ÿ˜๐Ÿฅฐ๐Ÿ˜˜๐Ÿ˜‹๐Ÿ˜›๐Ÿ˜œ๐Ÿคช๐Ÿคจ๐Ÿง๐Ÿค“๐Ÿ˜Ž๐Ÿคฉ๐Ÿฅณ๐Ÿ˜๐Ÿ˜’๐Ÿ˜ž๐Ÿ˜”๐Ÿ˜Ÿ๐Ÿ˜•๐Ÿ™โ˜น๏ธ๐Ÿ˜ฃ๐Ÿ˜–๐Ÿ˜ซ๐Ÿ˜ฉ๐Ÿฅบ๐Ÿ˜ข๐Ÿ˜ญ๐Ÿ˜ค๐Ÿ˜ ๐Ÿ˜ก๐Ÿคฌ๐Ÿคฏ๐Ÿ˜ณ๐Ÿฅต๐Ÿฅถ๐Ÿ˜ฑ๐Ÿ˜จ๐Ÿ˜ฐ๐Ÿ˜ฅ๐Ÿ˜“๐Ÿค—๐Ÿค”๐Ÿซฃ๐Ÿคญ๐Ÿซข๐Ÿคซ๐Ÿคฅ๐Ÿ˜ถ๐Ÿ˜๐Ÿ˜‘๐Ÿ˜ฌ๐Ÿ™„๐Ÿ˜ฏ๐Ÿ˜ฆ๐Ÿ˜ง๐Ÿ˜ฎ๐Ÿ˜ฒ๐Ÿฅฑ๐Ÿ˜ด๐Ÿคค๐Ÿ˜ช๐Ÿ˜ต๐Ÿค๐Ÿฅด๐Ÿคข๐Ÿคฎ๐Ÿคง๐Ÿ˜ท๐Ÿค’๐Ÿค•๐Ÿค‘๐Ÿค ๐Ÿ˜ˆ๐Ÿ‘ฟ๐Ÿ‘ป๐Ÿ’€โ˜ ๏ธ๐Ÿ‘ฝ๐Ÿค–๐ŸŽƒ๐Ÿ˜บ๐Ÿ˜ธ๐Ÿ˜น๐Ÿ˜ป๐Ÿ˜ผ๐Ÿ˜ฝ๐Ÿ™€๐Ÿ˜ฟ๐Ÿ˜พโค๏ธ๐Ÿงก๐Ÿ’›๐Ÿ’š๐Ÿ’™๐Ÿ’œ๐Ÿ–ค๐Ÿค๐ŸคŽ๐Ÿ’”โฃ๏ธ๐Ÿ’•๐Ÿ’ž๐Ÿ’“๐Ÿ’—๐Ÿ’–๐Ÿ’˜๐Ÿ’๐Ÿ’Ÿ๐Ÿ‘๐Ÿ‘Ž๐Ÿ‘Œ๐ŸคŒโœŒ๏ธ๐Ÿคž๐ŸคŸ๐Ÿค˜๐Ÿค™๐Ÿ‘ˆ๐Ÿ‘‰๐Ÿ‘†๐Ÿ‘‡โ˜๏ธโœ‹๐Ÿคš๐Ÿ–๏ธ๐Ÿ––๐Ÿ‘‹๐Ÿค๐Ÿ‘๐Ÿ™Œ๐Ÿซถ๐Ÿ‘๐Ÿคฒ๐Ÿ™โœ๏ธ๐Ÿ’ช๐Ÿ‘€๐Ÿ‘๏ธ๐Ÿง ๐Ÿซ€๐Ÿซ๐ŸŒฑ๐ŸŒฟโ˜˜๏ธ๐Ÿ€๐ŸŒธ๐ŸŒบ๐ŸŒป๐ŸŒž๐ŸŒ™โญโœจโšก๐Ÿ”ฅ๐ŸŒˆโ˜€๏ธโ˜๏ธโ„๏ธโ˜•๐Ÿ•๐ŸŽ๐ŸŽ‰๐ŸŽŠ๐ŸŽˆ๐ŸŽ๐ŸŽต๐ŸŽถ๐ŸŽจ๐Ÿ“š๐Ÿ’กโœ…โŒโš ๏ธ๐Ÿš€๐ŸŒ๐Ÿ’ป๐Ÿ“ฑ๐Ÿ”’๐Ÿ”‘
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profilefollowyou know me dont youwrote:
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”‚ hello, world โ”‚ โ”‚ โ”‚ โ”‚ i was here. โ”‚ โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ #asciinotesfollow,#ascii_artnotesfollow
profilefollowI ain't no nothing!continued:
Listening to this I had an AHA moment. When the powers that be made more and more LLM tokens the whole goal, I thought it was quite stupid. But I realized that for them it made sense, because in their managerial understanding of programming, they believed the output of LLMs is the best they could get for the money.
๐Ÿงœprofilefollowrunner. making games, music, software. getting into as much trouble as i can.wrote:
Off to handstand class. I have been known to recommend to everyone within earshot doing challenging and/or silly physical things in a community. Not bucking the trend here.
I'm looking for a way to manage my bookmarks easily on desktop and Android. Anyone have any experience with software like that? It'd be nice to be able to tag or categorize pages, and maybe to keep local mirrors for certain ones. I'm open to self-hosting. Thanks for reading!
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).
๐Ÿ’€profilefollow10+ years Seattle based software engineer.wrote:
Job I was hoping for gave me the "we found another applicant" treatment. I don't begrudge them for that, since I know I had a 'less than adequate initial coding interview. But still, it stings and sucks. Hopefully my other interviews yield better results...
๐Ÿ˜ŠprofilefollowNew here, wanted to try textlogwrote:
Hello! Is anyone else trying local AI? Im dont know what im doing but lately ive been trying "Llama 3,2 3b instruct q5km" on my phone and its been surprisingly good. #ainotesfollow
profilefollowresearcher, developer, dancerreplied to๐Ÿ˜ŠprofilefollowNew here, wanted to try textlog:
i think the best you can get right now is qwen 3.8 27B. youre gonna need 24 gigs of some fast memory though, i heard theres decent quantizations that can also make it run on 16. im quite excited about open/local models, but theres big investment overhead with the prices right now
๐Ÿ˜Žprofilefollowaeres-u99 on github, CodeAtlas \o/replied to๐Ÿ˜ŠprofilefollowNew here, wanted to try textlog:
You might be able to try out colibri, its quite good and the models are a bit better. I am unable to connect any of the cli agents to do things with it though, probably due to context limits, but try it out. OlMoe is the lightest
profilefollow#Emacsnotesfollow, dev, life, random stuff. the netherlands.wrote:
Ordered JBL Charge 6, waiting for delivery today. Will mount into my bike and will listen to music while commuting 25km to the office. I'm a victim of marketing, seeing an ad, buying stuff.
profilefollow#Emacsnotesfollow, dev, life, random stuff. the netherlands.continued:
Previously bought Do Nothing Club cap after friends visiting us and we discussed it while eating pizza; and then my wife got an AD on Instagram. Meta is listening for conversations to sell ads.
๐Ÿค”profilefollowHai I am kuwrote:
One idea that I've been thinking about is an #Androidnotesfollow or #iPhonenotesfollow #appnotesfollow where it is a #journalingnotesfollow app so you get a new file everyday right except the app keeps track of all the files for you. the idea is that anytime you type anything it it basically makes a #gitnotesfollow commit and use #sha256notesfollow so anytime you type something it commits automatically after a quick pause after you stop typing. #codingnotesfollow #automationnotesfollow #devnotesfollow
I'm trying to construct an argument that LLMs are like a chess engine. People still play chess. But somehow this falls short.
The essence of aligning large LLM models is basically to conform to the existing social order. ChatGPT respects China's order, while China's open-source models, although reluctantly, also tolerate the order in the US. Maybe we can build a revisionist SFT dataset.