Hacker News: trouve_search

New comment by trouve_search in "How is Groq raising more money?"

trouve_search — Tue, 02 Jun 2026 12:22:10 +0000

Cerebras are only serving kimi for dedicated endpoint customers; for that you need a >$5m annual deal with them

Cerebras also seems to be killing off their regular APIs, they're deprecating models and GLM is still stuck on GLM 4.7, a whole 2 versions behind.

New comment by trouve_search in "It's hard to justify buying a Framework 12"

trouve_search — Sun, 31 May 2026 18:25:12 +0000

Not sure if the M5 is that massively different but I have a M2 max laptop and the screen is noticeably brighter on the Asus.

New comment by trouve_search in "It's hard to justify buying a Framework 12"

trouve_search — Sun, 31 May 2026 18:24:09 +0000

It hasn't been so bad for me to notice. Compiling rust you'll hear the fan, but you'll also hear it in a MBP.

The MBP will compile faster however.

New comment by trouve_search in "Domain expertise has always been the real moat"

trouve_search — Sun, 31 May 2026 12:21:08 +0000

The moat is the difference between knowledge and know-how.

You can read all the plumbing books, but you need to get your hands dirty a few times, mess it up and fix it, to get mentally comfortable and efficient with the work

New comment by trouve_search in "It's hard to justify buying a Framework 12"

trouve_search — Fri, 29 May 2026 19:57:20 +0000

I've been using an asus zenbook 14 OLED with linux. Compatibility is great.

The screen blows apple out completely. It's clearly, obviously better. The fan noise and battery life are worse than Apple. The keyboard feels better to type on, the trackpad is slightly worse, but not enough to annoy me.

The new Pop OS cosmic is a very fun OS concept for laptops with the autotiling workspaces as a fundamental primitive.

New comment by trouve_search in "Notes from the Mistral AI Now Summit"

trouve_search — Fri, 29 May 2026 17:38:18 +0000

OK, I'm 100% rooting for both Mistral and task focused small models.

But Mistral has fall really far behind since 2025Q3. It seems they can't get good reasoning models working at even medium context sizes, which is necessary to be at the table right now.

Gemma4 and Qwen3.6 are currently best in the small size; Mistral's "small" model has ~4x the parameter count at 120B and isn't even competing with models a quarter its size.

Back one year ago with Mistral Small 3.1 they were keeping up, but they've fallen into irrelevancy right now.

If Mistral seriously wants to play the on-prem and small task-specific model game, a decent proxy would be to build models that get the r/localLlama crowd excited