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cyanydeez

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supposedly, the next step is into fiber & optics.

but I generally agree, people put a lot of faith in the exponential leaps vs the exponential space.

You tell them we're not living on mars any time soon and they'll bring up christopher columbus.

Back to Kagi 8 hours ago

kagi sorts by recency and thats the best. i dont just want this months results but whats been update.

of course i dont know how they calculate but hopefully they SEO proof against listicles that just increment date stamps with the same stale content

I've been fighting the urge to keep tweaking the setup, and with local models, the desire is even more involved. I'm pretty close now to the following:

1. llamacpp with custom reasoning budget and reasoning message tailored to a specific agent.

2. opencode with tailored agent that has access to dynamic context pruning and a graph of the code base.

3. Because local models love to reason instead of working, the llamacpp budget stops the reason with a message that reminds them to use subagents and to prune the context

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This is successful enough that I can make and expand greenfield projects into full blown tools. I've just built this morning a open document templating system that lets me build reports into reports and make them look nice with templates. What would have bloated up to ~1M context stays within the dynamic context prune's limits set 50k-85k; some of the limits are because of the 128GB GPU, but mostly because processing times go down the larger the context.

So yeah, it's pretty easy to want to keep tweaking this stuff. I'm happy though, I don't have to ever contemplate some cloud service changing my work flow because they need to squeeze $$$ out of my job.

This would be more useful if you could compare to a local model like Qwen3.6 27B or 35B.

sir, I'm not running a multi billion dollar code base; I just want my nose wiped and a clean fork of whatever repo might be the target of supply chain attacks, and a few nicissities.

I don't need 2.4T to do that; I'm doing it with 35B or 27B. If they get me a model in ~80B with a A5B or A7B, that will be the end point.

It's bizarre people, by themselves, believe all these parameters are getting them much more.

Lets be serious: if we as a civilization really wanted the advancements promised, we'd find the 1000 best scientists and give them free access to these models while the rest of us get personal GPUs for specific use cases.

But instead, we have to endeour this penis measuring contest for the infinite bikeshedding of the universe.

mmm, practically, llamacpp solved this with reasoning budget for tokens and a customized message.

ive tailored my local models to match agent with a message that pushes to use subagents and context compression.

it works pretty smoothly if theres proper vector and scope to the project. theres probably a way to also get it to record memories but ive not seen a memory system that includes spatial type reasoning which would create memories associated with file paths down to AST graphlike leaves.

then we could include remembering details about the path.

llamacpp also has a header for setting these that an intelligent harness could tailor per round message and budget. ideally you start with a small budget and expand based on some complexity criteria.

alas, i want to build things not related to AI.

we have AI. WHAT is it good for if a harness cant just take a api endpoint and some permissions and duplicate.

its so distracting seeing these types of confision.

every plugin is already just multimodaling their targets.

Kimi Work 2 days ago

if your model ever touches bash, it has unfettered acess to all your files.