2025/01/18

Newest at the top

2025-01-18 23:55:46 +0100merijn(~merijn@128-137-045-062.dynamic.caiway.nl) (Ping timeout: 248 seconds)
2025-01-18 23:48:41 +0100merijn(~merijn@128-137-045-062.dynamic.caiway.nl) merijn
2025-01-18 23:42:11 +0100michalz(~michalz@185.246.207.201) (Remote host closed the connection)
2025-01-18 23:37:29 +0100merijn(~merijn@128-137-045-062.dynamic.caiway.nl) (Ping timeout: 244 seconds)
2025-01-18 23:37:21 +0100haskellbridgesm waits for chat clients to support LLM Condense Mode
2025-01-18 23:37:19 +0100Square(~Square@user/square) (Ping timeout: 264 seconds)
2025-01-18 23:33:17 +0100merijn(~merijn@128-137-045-062.dynamic.caiway.nl) merijn
2025-01-18 23:33:14 +0100ljdarj(~Thunderbi@user/ljdarj) (Ping timeout: 260 seconds)
2025-01-18 23:32:21 +0100ubert(~Thunderbi@p200300ecdf3b1a6b33f8a008550b561a.dip0.t-ipconnect.de) (Ping timeout: 248 seconds)
2025-01-18 23:31:47 +0100 <monochrom> Also, one github (or gitlab or whatever) repo URL is worth a thousand words.
2025-01-18 23:31:39 +0100simplystuart(~simplystu@c-75-75-152-164.hsd1.pa.comcast.net) (Ping timeout: 276 seconds)
2025-01-18 23:31:30 +0100 <Rembane> It's a good one too
2025-01-18 23:31:29 +0100weary-traveler(~user@user/user363627) user363627
2025-01-18 23:29:40 +0100 <monochrom> (And there is an xkcd for that.)
2025-01-18 23:29:14 +0100target_i(~target_i@user/target-i/x-6023099) (Quit: leaving)
2025-01-18 23:29:12 +0100 <monochrom> But here is where human nature kicks in. Once a person has chosen a medium, they will refuse to switch.
2025-01-18 23:28:48 +0100 <monochrom> Not enough machine learning people in this channel, realistically. The discourse has probably much more relevant people.
2025-01-18 23:26:34 +0100simplystuart(~simplystu@c-75-75-152-164.hsd1.pa.comcast.net)
2025-01-18 23:25:18 +0100simplystuart(~simplystu@c-75-75-152-164.hsd1.pa.comcast.net) (Ping timeout: 252 seconds)
2025-01-18 23:24:05 +0100Fijxu(~Fijxu@user/fijxu) (Read error: Connection reset by peer)
2025-01-18 23:22:22 +0100merijn(~merijn@128-137-045-062.dynamic.caiway.nl) (Ping timeout: 252 seconds)
2025-01-18 23:21:41 +0100 <Rembane> Or a diary.
2025-01-18 23:21:33 +0100 <Rembane> I think they need a blog.
2025-01-18 23:21:27 +0100 <Rembane> Got it.
2025-01-18 23:21:09 +0100 <haskellbridge> <sm> an occasional prolific poster here, I'm not sure if they've identified
2025-01-18 23:20:26 +0100 <Rembane> Who are they?
2025-01-18 23:20:24 +0100 <Rembane> Good summary.
2025-01-18 23:19:43 +0100 <haskellbridge> <sm> "r-sta proposed enhancing Haskell's ML tooling with community-maintained learning routines and better abstractions, offering to contribute their own optimization methods and inviting collaboration to make Haskell more accessible and competitive for ML tasks."
2025-01-18 23:17:55 +0100merijn(~merijn@128-137-045-062.dynamic.caiway.nl) merijn
2025-01-18 23:14:50 +0100Unicorn_Princess(~Unicorn_P@user/Unicorn-Princess/x-3540542) Unicorn_Princess
2025-01-18 23:14:42 +0100elnegro(elnegro@r167-57-7-222.dialup.adsl.anteldata.net.uy) (Remote host closed the connection)
2025-01-18 23:10:00 +0100michalz(~michalz@185.246.207.201)
2025-01-18 23:07:15 +0100merijn(~merijn@128-137-045-062.dynamic.caiway.nl) (Ping timeout: 252 seconds)
2025-01-18 23:07:04 +0100califax(~califax@user/califx) califx
2025-01-18 23:05:56 +0100r-sta(~r-sta@sgyl-37-b2-v4wan-168528-cust2421.vm6.cable.virginm.net) (Quit: Client closed)
2025-01-18 23:05:52 +0100 <r-sta> anyone that wants to be involved i can email
2025-01-18 23:05:52 +0100califax(~califax@user/califx) (Remote host closed the connection)
2025-01-18 23:05:34 +0100 <r-sta> ill be around from time to time so chime in if interested
2025-01-18 23:05:13 +0100 <r-sta> dont all respond at once, this chan has a habbit of deluging you with input
2025-01-18 23:04:27 +0100 <r-sta> having been part of the currently leading team in these efforts worldwide, it is a fantastic opportunity for haskell
2025-01-18 23:04:01 +0100 <r-sta> as well as being able to present a pretty decent out of the box algorithm that many people might find useful for small optimization tasks, the task of getting something which works much better in higher dimensions is an open problem referred to as AGI
2025-01-18 23:02:44 +0100 <r-sta> and the class abstrations that provide the learning interface should be at the heart of the community codebase
2025-01-18 23:02:32 +0100merijn(~merijn@128-137-045-062.dynamic.caiway.nl) merijn
2025-01-18 23:02:21 +0100 <r-sta> there should be *way more pure learning routines*
2025-01-18 23:02:10 +0100 <r-sta> because the learning routines are not easy to access at top level
2025-01-18 23:01:57 +0100 <r-sta> normally you would have to have some package. a lot of people use matlab
2025-01-18 23:01:45 +0100 <r-sta> thats basically what i bring to the table. it would probably outperform any that exist on here, and maybe other places too
2025-01-18 23:01:27 +0100 <r-sta> the one i use presents some pertinant considerations, and is quite good for people wanting something to use in their own projects
2025-01-18 23:00:50 +0100 <r-sta> the idea is that you kind of commit to learning how learning routines work so as to be able to maintain them
2025-01-18 23:00:19 +0100 <r-sta> but id quite like to find existing learning routines to wrap aswell