> 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…
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…
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…
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 -…
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
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…
https://vibemathed.com/
i think over time, the bar will rise, you’d have to imagine how low quality the submissions prior to AI would’ve been since most people aren’t that good at decorating nor have the time i think as the novelty wears off…
> 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…
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…
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…
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 -…
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
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…
https://vibemathed.com/
i think over time, the bar will rise, you’d have to imagine how low quality the submissions prior to AI would’ve been since most people aren’t that good at decorating nor have the time i think as the novelty wears off…