c0rruptbytes

OMP has a lot of candy that raises token cost compared to vanilla pi

mods seem like a grasp at all the pi and dsh users

MDs in subdirectories is how Anthropic recommends it too. If you have a CLAUDE.md in a subdirectory and an agent starts working in there, it's appended

have you tried using lower efforts?

they're already on bedrock

as someone who is limited by amazon bedrock support at work (no idea why we got stuck with the worst one) - grok is literally the only budget-ish model option, so nice to see it updated, Sol and Opus are just too rich for my blood. Luna is good but so slow at getting things done (tps wise it's fast)

> This argument doesn't work for countries which don't care what their citizens want, like China.

you didn’t have to use China as an example, the US clearly does not care what its citizens want as the most popular policies are never even discussed or proposed in congress

meanwhile, China destroying their housing market to decommidify it so everyone can have housing…they seem to care about their people more

the iphone mini unfortunately did not kill nor do most small iphones

are they releasing the weights too?

open models don’t imply local models… it just allows more people to run them, most likely with nvidia GPUs

so many inference project, omlx already supports all of this and has a 1000 people trying to optimize it constantly

m5 max really fixed pp with the better matmul support, im sure the m5 ultra will be even crazier

the sparks have much slower memory bandwidth is the trade off

the rr suite seems much better for that

OpenAI measures their internal token usage in “rolexes” - it’s literally a flex to be a token burner

i can imagine insane amount of capital is wasted on these two companies compared to the efficiency elsewhere

it's for me

The 512GB could run GLM 5.3 which is Opus level

Sol is closer to Fable than Opus - I like SlopCodeBench the most as a test - https://github.com/humanlayer/advanced-context-engineering-f...

You add requirements and make previous tests invisible to see how pigeon brained the model is - Sol and Fable seem to rank the same as Opus tends to fall behind

the writing style is so easy to fix, output styles is documented in claude code and you can change it

still don’t think anthropic models are worth the money

auto research the new cool kid on the block - look at https://mlx.fast

Pi by itself is more than capable, OMP is okay but you really don't need much for a great harness (these models are RL trained to hell to be a coding agent, sometimes less is more)

I run a lot of SlopCodeBench - https://github.com/michaelasper/benchmarks

Fable/Sol/GLM 5.3/Kimi are its league (in that order) Deepseek/Opus is solid Qwen 27B is the floor - there's no reason to use Sonnet/Terra/Haiku

For everyday activity - I don't think you need to be using Sol (xhigh) for everything - unless you're made of money - I've found using Luna from OpenAI to be more than enough - it'll outreach to Opus/Sol when it needs to

Haven't had access to Gemini 3.7 but we're getting it at work soon, will give it a go!

Codex CLI is pretty bare bones in a bad way (at least Pi is extensible). Claude code is vibeslopped to the extreme

easier to gate MCP tools? you can allow/deny tools very easily

need competent people to hire competent people first - it seems like their only directive is to raise $MSFT not make good tech

(talking about leadership, not my lovely msft engineers reading this)

plenty of companies offer ZDR and are just as random as OpenAI and Anthropic in their age

looks nice...time to turn it into a pi extension

Pi is excellent for this, its system prompt is tiny

they probably should kill the grok branding...

wow antirez does not sleep

Reminds me of sandboxy - https://github.com/apple/containerization/tree/main/examples...

Also if your thing doesn't work with `pi` out of the box, then low effort

i would call myself a tinkerer but still don’t have a necessity for 3)

it’s more akin to 3d printing to me, i get the design all setup and let the machine do 3) and then get to play with it in 4)

i think i agree, we are going to have /more/ math and now need /more/ mathematicians (we are seeing https://vibemathed.com/)

these LLMs are great are generating arguments but they don't ask questions, we will need mathematicians to shepherd them into more discoveries

i really want to see open weight models crack some breakthroughs