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artlu

@artlu99

Plays a mean game of ping-pong.

Beigetreten Eylül 2021
1.3K Folgt290 Follower
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frdysk
frdysk@frdysk·
@artlu99 so, comeback to fc/hs?
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artlu
artlu@artlu99·
@TokenArchitect you can chunk the item-by-item plan around here and look at chunks, determine priorities this works better than brute force traversal imho. sometimes it's efficient to take 1 step back before 2 steps forward. you want to give yourself opportunity to identify these tradeoffs
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Clayton
Clayton@TokenArchitect·
⚠️ Extract any function you touch out of the God file into a domain-scoped module (db/payments.ts, db/booking.ts, etc.). Every fix is also a small modularization step. The codebase converges on the spec's structure incrementally — no big-bang refactor.
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Clayton
Clayton@TokenArchitect·
Wishing a senior dev mentor🤞 Brownfield Next.js/Supabase marketplace, vibe-coded, no spec, six God files, flat route structure. Did a RPI (Research → Plan → Implement) process across 7 domain modules to reverse-engineer a full application spec from the source code.
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artlu
artlu@artlu99·
@backmeupplz 👏well done I think I like your feed and reports better than my feed, ser
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borodutch
borodutch@backmeupplz·
finally happy with how omens turned out, made it into a full-on newspaper; you login with x, then add an api key from ai provider, and it reads your "for you" and "following" feed, then scores it and builds reports open source, free, self-hostable, but i also run a free managed service with a live demo (it's my feed and reports)
borodutch tweet mediaborodutch tweet media
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Aimar Haddadi
Aimar Haddadi@AdvicebyAimar·
i can spot a grifter from miles away. so i digged into the code to figure out if this is legit or not. guess i was right. ben is a crypto founder who runs some weird bitcoin lending platform, i was pretty sure he knows absolutely nothing about ai and memory so i tracked down the repo myself since i was curious. his website says he likes to build ai powered products and train local ai models? sure man, 80% of your github repo's are bitcoin related stuff. only one ai related project came up you forked in 2024. mempalace has 10k github stars, more than 1k forks but only.. 7 commits ? apparently the best memory layer to date? no git author history, no account connected to whoever wrote the code of this codebase. it doesn't add up.. the account who pushed the original repo, named: aya-thekeeper, under aya-thekeeper/mempal got deleted right after the repo got published. you paid a random guy named lu to build this shit out for you. ( "Written by Lu (DTL) — March 24, 2026. For: Ben." ) - benchmark md file. lu wrote the code. lu wrote the benchmarks. lu is nowhere in the readme. or mentioned in the github history? the git history then got squashed to one commit and published under milla jovovich? seriously? a actress? you say she is a great friend of yours, she has been building this project with you. she does this at night. yet she has.. 7 commits and only 2 active days in her entire github history? you paid an actress and a random guy to promote a product you know absolutely nothing about.
Ben Sigman@bensig

30 second explanation of the MemPalace by Milla Jovovich. By day she’s filming action movies, walking Miu Miu fashion shows, and being a mom. By night she’s coding. She’s the most creative, brilliant, and hilarious person I know. I’m honored to be working with her on this project… more to come.

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artlu
artlu@artlu99·
> ignore confidence scores. Every model lied about its certainty except the one too small to fake it separately-- it's useful to assume 15% of what the model reports is verifiably false sample the output fix in a clean context, and update your priors (shouting doesn't help)
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artlu
artlu@artlu99·
before reading this research, I had arrived at: - 3 distinct focused reviewer styles, through a large-context MoE model - iterate and ping-pong their findings via human judgement beats any proceduralized PR code review (which remains useful for painfully obvious patterns/smells)
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artlu
artlu@artlu99·
cargo cultists: review with ur smartest model empirical conclusion: stop doing that! > The assumption going in was Daft Punk's mantra: work it harder, make it better, do it faster, makes us stronger. More thinking, better output, just keep turning the dial.
Northon Torga@northontorga

everyone’s cramming AIs with more tokens, bigger context, and longer prompts thinking it’ll make them smarter reality? it usually backfires. hard. 121 experiments: Kimi found 4 bugs at 16k tokens… and zero at 48k. ntorga.com/overfed-overth…

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artlu
artlu@artlu99·
The Great Claudosphere Dummification March-April 2026: shrinkflation, or skill issue, which had previously been masked by more forgiving constraints (maybe both)
Paweł Huryn@PawelHuryn

So, I did some research. The regression is real. But it's not Claude getting dumber. And you can fix that. Thinking budgets were adjusted. For complex multi-file work, the default medium effort may not be enough. Three fixes: 1. /effort high (or /effort max on Opus for hard debugging) 2. ~/.claude/settings.json → "showThinkingSummaries": true 3. CLAUDE.md: "Research the codebase before editing. Never change code you haven't read." GitHub issue #42796 analyzed 17,871 thinking blocks across 6,852 sessions. The pattern: when thinking depth drops, the model shifts from research-first to edit-first. Claude didn't get worse. The defaults got conservative.

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artlu
artlu@artlu99·
noting below that this is with clean context, hooks and tools called by the hooks
purveyor 7mph crosswind@Ffxivmarket

@levelsio @ComplexiaSC I had opus deploy into a vps that it had deploy 100 times (everything in the cloud) and then it failed, when I check it was trying to deploy to a random IP, I tried to trace why it did that, all I could get was that it hallucinated that IP.

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borodutch
borodutch@backmeupplz·
so i finally caved after seeing many times that building linearly with claude code gets me nowhere close to using up all tokens on my $200 plan and after seeing claude get stuck on simple tasks for tens of minutes and i now have 5-7 claude code windows open (like a month ago), and guess what, one of them is usually the dumb one getting stuck and not processing fast enough weird
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artlu
artlu@artlu99·
@kennyistyping can I just share a ̶z̶k̶ ̶p̶r̶o̶o̶f̶ screenshot with you haha
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kenny
kenny@kennyistyping·
@artlu99 bring all your BTC to the meetup bro I will show you how it works
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kenny
kenny@kennyistyping·
@artlu99 you're assuming they transact onchain they could just pass a private key to each other IRL just like cash no issue
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artlu
artlu@artlu99·
@kennyistyping I mean that A's independent interactions with B and C, lets A know every past and future transaction between B and C by default, with no ambiguity
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kenny
kenny@kennyistyping·
@artlu99 B and C could sell their BTC OTC put it on a paper wallet, trade it for something real, go on with their life just like cash
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kenny
kenny@kennyistyping·
claiming that ETH and BTC aren't private is one of the industry's biggest psyops both blockchains are private by default the only thing undermining that privacy is people with guns who will throw you in jail for being too private it's a freedom problem, not a privacy problem
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artlu
artlu@artlu99·
some nice phrases written lately about AI: "paying off intention debt" -- vgr "In contrast, when I use AI, I feel like I’m living during the debut of the automobile and thinking, “Wow, I could drive that to the granary to buy food for my horse.” -- Kris A.
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artlu retweetet
pics or it didn't happen
pics or it didn't happen@poidhxyz·
gm $200 in onchain bounties anyone can claim there's always money in the poidh stand 🕹️ - freestyle for poidh 🎤 - $50 - Make the Best Paper Airplane ✈️ - $74 - Improve Public Information 🪧 - $30 - impossible late flip for poidh 🛹 - $47 links below 📸
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artlu
artlu@artlu99·
@badlogicgames @trq212 does this fix itself when we burn through all the psychologically susceptible ppl (terminally online, in-the-bubble hypesters with short attention spans)? like you say, it seems the models are actually doing alright
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Mario Zechner
Mario Zechner@badlogicgames·
@trq212 i think the models are actually doing alright. it's the users that are abusing them. i think this has some psychological component i'm not qualified to talk about. kind of like hyper automation bias. i'm unsure how a model could help with that other than saying no a lot.
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