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| 2025-11-27 00:18:54 +0100 | EvanR | (~EvanR@user/evanr) EvanR |
| 2025-11-27 00:18:35 +0100 | merijn | (~merijn@host-vr.cgnat-g.v4.dfn.nl) (Ping timeout: 240 seconds) |
| 2025-11-27 00:18:34 +0100 | EvanR | (~EvanR@user/evanr) (Remote host closed the connection) |
| 2025-11-27 00:16:10 +0100 | tv | (~tv@user/tv) tv |
| 2025-11-27 00:15:35 +0100 | tv | (~tv@user/tv) (Quit: derp) |
| 2025-11-27 00:14:10 +0100 | merijn | (~merijn@host-vr.cgnat-g.v4.dfn.nl) merijn |
| 2025-11-27 00:12:41 +0100 | <EvanR> | meanwhile machine learning continued |
| 2025-11-27 00:12:25 +0100 | <jreicher> | I feel like now it's becoming a religion. :( |
| 2025-11-27 00:12:24 +0100 | <EvanR> | AI winter resulted in loss of funding/interest in AI research, if it was called that |
| 2025-11-27 00:11:52 +0100 | <EvanR> | AI has been more of a "brand" than a science for a long time |
| 2025-11-27 00:10:00 +0100 | mange | (~mange@user/mange) mange |
| 2025-11-27 00:09:21 +0100 | __monty__ | (~toonn@user/toonn) (Quit: leaving) |
| 2025-11-27 00:07:26 +0100 | <jreicher> | Well I guess at a high level it's all the same thing in the end. If the "smart" system is not an LLM it just means the training data has been fed to the human (in the form of experience and/or user feedback) and the human translates that into the rules (weights) of the system. |
| 2025-11-27 00:03:28 +0100 | merijn | (~merijn@host-vr.cgnat-g.v4.dfn.nl) (Ping timeout: 256 seconds) |
| 2025-11-27 00:00:41 +0100 | ThePenguin | (~ThePengui@cust-95-80-28-221.csbnet.se) ThePenguin |
| 2025-11-26 23:59:44 +0100 | gmg | (~user@user/gehmehgeh) gehmehgeh |
| 2025-11-26 23:59:44 +0100 | ThePenguin | (~ThePengui@cust-95-80-28-221.csbnet.se) (Ping timeout: 244 seconds) |
| 2025-11-26 23:58:48 +0100 | merijn | (~merijn@host-vr.cgnat-g.v4.dfn.nl) merijn |
| 2025-11-26 23:58:44 +0100 | <haskellbridge> | <loonycyborg> because it's a form of expert system |
| 2025-11-26 23:58:40 +0100 | <haskellbridge> | <loonycyborg> so is a buildsystem |
| 2025-11-26 23:58:18 +0100 | <jreicher> | I reckon you could argue that a language server is a form of AI. :) |
| 2025-11-26 23:57:18 +0100 | <haskellbridge> | <loonycyborg> and lots of other things |
| 2025-11-26 23:57:15 +0100 | emmanuelux | (~emmanuelu@user/emmanuelux) (Remote host closed the connection) |
| 2025-11-26 23:57:11 +0100 | <haskellbridge> | <loonycyborg> because AI is also automated players in computer games |
| 2025-11-26 23:56:54 +0100 | <haskellbridge> | <loonycyborg> I wish they just stick with LLM |
| 2025-11-26 23:56:48 +0100 | <haskellbridge> | <loonycyborg> "AI" is really confusing term |
| 2025-11-26 23:54:49 +0100 | emmanuelux | (~emmanuelu@user/emmanuelux) emmanuelux |
| 2025-11-26 23:50:31 +0100 | merijn | (~merijn@host-vr.cgnat-g.v4.dfn.nl) (Ping timeout: 240 seconds) |
| 2025-11-26 23:50:21 +0100 | califax | (~califax@user/califx) califx |
| 2025-11-26 23:50:00 +0100 | califax | (~califax@user/califx) (Quit: ZNC 1.8.2 - https://znc.in) |
| 2025-11-26 23:43:55 +0100 | merijn | (~merijn@host-vr.cgnat-g.v4.dfn.nl) merijn |
| 2025-11-26 23:40:13 +0100 | tromp | (~textual@2001:1c00:3487:1b00:c5b7:b8d9:7db7:74e1) (Quit: My iMac has gone to sleep. ZZZzzz…) |
| 2025-11-26 23:39:56 +0100 | gmg | (~user@user/gehmehgeh) (Quit: Leaving) |
| 2025-11-26 23:35:03 +0100 | divlamir | (~divlamir@user/divlamir) divlamir |
| 2025-11-26 23:34:37 +0100 | divlamir | (~divlamir@user/divlamir) (Read error: Connection reset by peer) |
| 2025-11-26 23:29:07 +0100 | peterbecich | (~Thunderbi@172.222.148.214) (Ping timeout: 264 seconds) |
| 2025-11-26 23:28:10 +0100 | <geekosaur> | this is also flavored by my monitoring various kinds of science news, and an active area of research is hybridizing LLMs with other varieties of AI more capable of some form of reasoning (fsvo) about the data they've been trained with |
| 2025-11-26 23:24:44 +0100 | Frostillicus | (~Frostilli@pool-71-174-119-69.bstnma.fios.verizon.net) |
| 2025-11-26 23:23:55 +0100 | <jreicher> | jackdk: FWIW I "imagine" those points are very plausible, but I meant something more specific than "works". I mean USEFUL. If the AI succeeds in writing code that would have been no more effort and no slower for a human to write, it's not useful. And very concise and obvious code is like this. Lengthy boilerplate is where the AI has the potential to save time. |
| 2025-11-26 23:23:24 +0100 | <geekosaur> | I lean strongly toward #1 because the only way I can see for an LLM to have boosted "AI" is for it to be a smarter Markov bot |
| 2025-11-26 23:22:49 +0100 | Frostillicus | (~Frostilli@pool-71-174-119-69.bstnma.fios.verizon.net) (Ping timeout: 260 seconds) |
| 2025-11-26 23:21:30 +0100 | michalz | (~michalz@185.246.207.193) (Remote host closed the connection) |
| 2025-11-26 23:19:21 +0100 | <jackdk> | ... 3. it works best on languages with simpler syntax and less compiler smarts because the token stream just carries more information (a Gleam advocate mentioned this to me once). |
| 2025-11-26 23:18:20 +0100 | <jackdk> | jreicher: I have seen three arguments and I'm not sure which to weight most heavily: 1. it works best on things it's seen the most of in the training distribution (python, TS, specific major libraries — Anthropic called this out in its article on the design and implementation of Claude Code); 2. it works best on strongly-typed languages because it can converge on a solution with compiler assistance (Terry Tao's posts about Lean may apply); ... |
| 2025-11-26 23:04:37 +0100 | peterbecich | (~Thunderbi@172.222.148.214) peterbecich |
| 2025-11-26 23:00:25 +0100 | Frostillicus | (~Frostilli@pool-71-174-119-69.bstnma.fios.verizon.net) |
| 2025-11-26 23:00:23 +0100 | target_i | (~target_i@user/target-i/x-6023099) (Quit: leaving) |
| 2025-11-26 23:00:06 +0100 | <haskellbridge> | <sm> that's us.. |
| 2025-11-26 22:57:45 +0100 | <jreicher> | I suspect AI is more useful in languages that require a fair amount of boilerplate to get things done. |
| 2025-11-26 22:56:16 +0100 | takuan | (~takuan@d8D86B9E9.access.telenet.be) (Remote host closed the connection) |