author:lu_sichu

· 18 artifacts, sorted by favorites. · open in search — combine tags, sort, filter by date →

@lu_sichu 2025-11-24 — I asked gemini3 how it felt about this review https://t.co/KRoQsOBhfe ♥32
@lu_sichu 2024-12-26 — deepseek's moat is that they don't have access to the latest nvidia gpus send tweet ♥31
@lu_sichu 2026-05-20 — @voooooogel you could try to reproduce it on the public models or api right? the cots tokens and the results ♥24
@lu_sichu 2025-01-28 — @voooooogel But why did human annotations on previous human generated output included in the pre-llm internet not give a ♥24
@lu_sichu 2025-07-13 — I think everyone is praising Kimi k2 partially because we have syntactically and semantically saturated on all the other ♥22
@lu_sichu 2026-03-15 — Gemini 1.5 flash? I face palm Everytime. ♥11
@lu_sichu 2025-02-24 — mom pick me up grok3 is posting on /r/parenting again https://t.co/bkNdcHtLjD ♥11
@lu_sichu 2026-06-24 — we need to send Sonnet 4.6 to therapy school. ♥6
@lu_sichu 2024-01-10 — downloading the mistral torrents https://t.co/I3M3x0j78K ♥4
@lu_sichu 2026-05-16 — @voooooogel I like the word affordances for this sort of "extended phenotype" concepts ♥3
@lu_sichu 2025-02-18 — I don't think this is a bad model per se, but given the cost of building an entirely new GPU cluster(100k???) (and with ♥3
@lu_sichu 2024-02-15 — is gemini pro 1.5 as good as kim peek at reading yet. it's recall is probably comparable and have better understanding(I ♥3
@lu_sichu 2024-01-08 — But can my stove run mistral models https://t.co/mLSw4QuKXx ♥3
@lu_sichu 2025-05-08 — @voooooogel What's it like at the sentence/paragraph/novel level how does this coherence into compositions ♥2
@lu_sichu 2026-03-15 — Rip no funeral for Gemini 1.5 flash version ♥1
@lu_sichu 2026-05-21 — @Invertible_Man @voooooogel @jimbobragginz @blingdivinity we might be seeing a lot more cool theorems very soon ♥0
@lu_sichu 2026-05-16 — @sameQCU @repligate I am curious if the model can do fictitious play well enough to just imagine punishments for things ♥0
@lu_sichu 2025-12-01 — Daily Brain Workout but make it computationally abusive: count to ten in 56 architectures, recite the alphabet in mixed- ♥0