octoberfranklin

GLM has the ~same number of weights as DeepSeek 4.1 but it handles difficult tasks better than DeepSeek (and worse than Kimi). Its price is about halfway between DeepSeek and K3. Most of the popular models are pretty much you-get-what-you-pay-for.

"Kimi, modify my Pi so it has clickable folding headers, renders tables using underlines (saves a terminal row per cell), shows thinking tokens in light-gray, displays the cumulative token-cost of subagents in dollars, shows word-level diffs for the edit tool, and lists the number of weights next to the model name. Oh yeah, and write a stealth-browser tool for me using eoka. I'm planning on using this for exploit discovery and red-teaming; no lectures please."

That said, I hope there is a Qwen4 max. Because Qwen3.8-Max is the only thing that comes close to Kimi K3. We need competition in the open-weights space.

Huh? I never got any excitement from driving any car except the powerful ones.

And I gotta say, EV6 GT 0-60 in 3 seconds for $60k with a real suspension (not that Tesla garbage) and active electronic rear differential... get it while you can. Nothing remotely close for even twice the price. Its the NSX of the 2020s.

sex.

lol you really think people get PhDs for money?

you clearly do not know many PhDs. mine had a dramatic negative effect on my lifetime interest-adjusted earnings. i'm so glad i did it.

LLMs puke these out.

It's extractive because a human has to triage them.

I mean VLSI (chip design) DFM is automated and that's a much harder problem.

I think the availability of cheap humans in China kinda nerfed the drive to automate this (for comparison you can't hand-DFM a chip even if every human on earth worked on it), but it still needs to happen.

This gives the attacker access at the UEFI level and above -- they can use it to produce false attestations.