Lēy•Pascuā 🦋

6.2K posts

Lēy•Pascuā 🦋

Lēy•Pascuā 🦋

@leypascua

I build B2B software with awesome tech teams. Filipino 🇵🇭

Manila, Philippines Katılım Aralık 2008
881 Takip Edilen277 Takipçiler
Lēy•Pascuā 🦋
Lēy•Pascuā 🦋@leypascua·
The VW Taigo is so unnecesarily complex, it's like flexing superficial tech supremacy that nobody asked for.
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Lēy•Pascuā 🦋
Lēy•Pascuā 🦋@leypascua·
Qwen3.6-27B is really something special. Feels like GPT-5.2 precise, good enough for brainstorming, research, and validation. I guess it's time to invest on a GPU!
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Lēy•Pascuā 🦋
Lēy•Pascuā 🦋@leypascua·
Jaw-dropping initial performance from Qwen3.6-27B using @opencode! Here's my self-hosted Docker config for running it with vLLM.
Lēy•Pascuā 🦋 tweet media
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Lēy•Pascuā 🦋
Lēy•Pascuā 🦋@leypascua·
Always prefer running a small model at full precision (or FP8 at worst) over a big model in grug mode
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Lēy•Pascuā 🦋
Lēy•Pascuā 🦋@leypascua·
Sad to see Makati go back to its old ways. Sayang reforms ni Abby
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Lēy•Pascuā 🦋
Lēy•Pascuā 🦋@leypascua·
@kevinleversee There are much more of 'em now than they used to. They used to be seasonal too (December to Feb only) now they're visible whole year round.
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Lēy•Pascuā 🦋
Lēy•Pascuā 🦋@leypascua·
The real secret sauce of open models isn't in the model itself, but in unpublished system prompts and highly optimized inference engines. That is why OSS models behave better when served by the company that built them.
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Lēy•Pascuā 🦋
Lēy•Pascuā 🦋@leypascua·
TIL self-hosting small-ish language models is not trivial. Everything looks great until you try to scale to handle multiple concurrent requests with serious hardware.
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Lēy•Pascuā 🦋
Lēy•Pascuā 🦋@leypascua·
Qwen3.5 family of models seem to be serviceable for code analysis needs, hope it becomes available in @opencode zen
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Lēy•Pascuā 🦋
Lēy•Pascuā 🦋@leypascua·
Normies who self-host overhyped derivative distilled models can fall prey to search hijacking when models force searches to suspicious state-backed providers.
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Lēy•Pascuā 🦋
Lēy•Pascuā 🦋@leypascua·
Qwen3.5-27B reasons well, but hallucinates search URLs. Maybe it's using obsolete training data for searches, then gives up and doesn't even try to search somewhere else.
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