planckscnst

7 ms·

1.
by planckscnst 7d ago
Yes, it's different. It's a legal doctrine called mosaic theory. https://share.google/f10FzHcf2jPqSzTRM
2.
by planckscnst 15d ago
Yes, I used it to do a big push of my self-maintaining project All I need next is to push it through enough cycles to trust it (I have high confidence based on results so far) and then I can just setup a cron to do routine maintenance on m
3.
by planckscnst 26d ago
For people wondering, in some locations, sore and saw are homophones.
4.
by planckscnst 29d ago
I have the $100 plan on OpenCode Zen, which I imagine is similar. I burn through it ridiculously fast. I haven't run the numbers, but it felt about the same as an Anthropic $20 plan
5.
by planckscnst 29d ago
LLMs are already of sufficient capability that if they were super cheap and fast and made no progress on intelligence, we will still make huge leaps in our ability to build systems and solve problems. I'm just happy there is capital be
6.
by planckscnst 1mo ago
Do you not have many many separate projects happening in parallel because it takes forever for the model to respond, so you give it your feedback and jump to the next one? That context switch is challenging and expensive. Imagine if your fe
7.
by planckscnst 1mo ago
You can make something like the link below. I'd say it's a more than marginal improvement. It's still tiring, but it's much better according to my taste. I imagine everyone would have their own version of this for their
8.
by planckscnst 2mo ago
$100/month * 12 months is 1200/year. Yeah, normal working people even in the USA don't have that extra money to spend. And let's be realistic: anyone doing the "greenhouse" method probably has both Anthropic an
9.
by planckscnst 2mo ago
It depends on what you mean by "unsupervised" - I've been strictly working through the agent, through specs the entire time, but it's been very supervised, I just leave the mistakes in-place and have it work from there.
10.
by planckscnst 2mo ago
I did calculations on the prefix cache effect on costs of sessions where I used it and found that the removal of tokens from context had a much bigger effect on reducing costs than cache busting had on increasing them. I should re-do that a
11.
by planckscnst 2mo ago
I agree. Compaction sucks, so I made tools that let the LLM selectively delete (and recall if needed) chunks of its context. You might want to try context bonsai if you're routinely hitting the auto-compaction wall. https://
12.
by planckscnst 3mo ago
You don't desire to brush your teeth (at least not in the way that you desire to consume calorie-dense foods). But you manage to still do it anyway. (maybe not you specifically, but people in general) You can make the same choice abo
13.
by planckscnst 4mo ago
Hm. I'll have to rethink how I do context management ( https://github.com/Vibecodelicious/context-bonsai-agents#con... )
14.
by planckscnst 4mo ago
Yes, also happening more or less continually instead of waiting for the context to bloat up. You also have some control over it. You can say something like "prune away the work we did on the UI. Make sure to remember that users can upl
15.
by planckscnst 4mo ago
I'm working on [Context Bonsai][1] - LLM harness tools that allow the LLM to prune messages out of the context, leaving behind a summary and keywords instead. In addition to a "prune" tool, there is a "retrieve" too
16.
by planckscnst 6mo ago
I love OpenCode! I wrote a plugin that adds two tools: prune and retrieve. Prune lets the LLM select messages to remove from the conversation and replace with a summary and key terms. The retrieve tool lets it get those original messages b
17.
by planckscnst 6mo ago
I'm using Fedora with KDE and I haven't seen any notifications and had no idea it did this. I'll see if I can figure out what's going on in my system and maybe it will help other people.
18.
by planckscnst 6mo ago
I am one of those people who love VR gaming done well. There is a game called Super Rumble built by what I think is a subsidiary of Meta. It's a very well executed arena FPS concept. There are just a couple dozen people in the world wh
19.
by planckscnst 6mo ago
I'm working on "context bonsai" which is currently a plugin for OpenCode that allows the LLM to self-edit its own context. It works like compaction, but it can retrieve back the compacted info if needed. And it's not jus
20.
by planckscnst 7mo ago
I mostly use LLMs in a zero-touch way - I never actually edit code and I almost never read it. But I do still dive into the details by exploring it with targeted questions through the LLM. Sometimes I go through ridiculously long sessions t
21.
by planckscnst 7mo ago
When they blocked OpenCode, I was in the middle of adding a feature. I don't think it's possible to mimic CC in an undetectable way and have the feature work. The feature allows the LLM to edit the context. For example, you can &q
22.
by planckscnst 7mo ago
They even block Claude Code of you've modified it via tweakcc. When they blocked OpenCode, I ported a feature I wanted to Claude Code so I could continue using that feature. After a couple days, they started blocking it with the same m
23.
by planckscnst 7mo ago
"selected" and "highlighted" would also be useful
24.
by planckscnst 7mo ago
There is so much work we can do with harnesses that can make the already existing models so much more capable. I definitely feel the author's frustration as I've also been working on some harness stuff. When Anthropic subscription
25.
by planckscnst 7mo ago
Yes - I think there is untapped potential into figuring out how to understand and use the latent space. I'm still at the language layer. I occasionally stumble across something that seems to tap into something deeper and I'm getti
26.
by planckscnst 7mo ago
Yes, I have already made deliberate cache decisions and plan to do more once it's working the way I imagine. I think the trimmed down context will have way bigger effect than the cache stuff, though. As far as I understand, it's c
27.
by planckscnst 7mo ago
I'm working on lots of projects. My favorite is what I call "context bonsai" where I'm giving LLM harnesses the ability to surgically edit the context. It's available as a tool. You can say "remove that failed
28.
by planckscnst 7mo ago
I think this is a valuable direction for research to take. I suspect human emotion is represented in the training data and that there is some underlying model representing human emotional systems present within current LLMs. If we can under
29.
by planckscnst 7mo ago
I've found this orchestrator+reviewer+judge setup to yield much better results than anything else I've tried. And it's such a simple setup - a few markdown files. I'm also creating one that is similar, but purpose-built
30.
by planckscnst 7mo ago
That's so strange. I found GPT to be abysmal at following instructions to the point of unusability for any direction-heavy role. I have a common workflow that involves an orchestrator that pretty much does nothing but follow some simpl

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