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Bnjoroge
searching PlanetScale…
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31.
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by
Bnjoroge
2mo ago
Lots of fun projects being listed. I'm working on Preloop( https://preloop.dev ), a way to run your unmodified Github Actions locally or self-hosted in isolated cross-platform microvms(uses smolvm which uses libkrun vmm).I go
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Bnjoroge
2mo ago
As someone who’s building a github actions control plane replacement, the scheduler is extremely simple. It basically the kost naive version of a FiFO queue.
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Bnjoroge
2mo ago
Is it? Last time I checked, I had to maintain a custom fork because they didnt support device auth for remote env so you couldn’t really use your chatGPT sub.
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Bnjoroge
2mo ago
gotcha. yea ideally you take a full live snapshot of my current state, untracked files, processes etc, and resume them in the cloud. Congrats on the launch! A mobile app would also be nice
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Bnjoroge
2mo ago
Huh? V4Flash is still incredibly price competitive. The new version is right around GLM 5.2 and maybe slightly worse than opus 4.8 depending on which benchmark you use while being much cheaper(even factoring how most US zdr providers charge
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Bnjoroge
2mo ago
Kimi’s policy is extreme reasonable.
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Bnjoroge
2mo ago
What’s the experience like going from an active on-going thread to a cloud-hosted one? I dont wanna always work on the cloud, and want my current setup to be exactly the same as in the cloud, and should be pretty seamless. Only folks i’ve s
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Bnjoroge
2mo ago
I like using exe but I’m not sure what to feel about this if exe itself isnt open source. Granted, their agent is OSS, but still feels somewhat ironic
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Bnjoroge
3mo ago
how's this different from iroh?
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Bnjoroge
3mo ago
certainly sounded like one of
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Bnjoroge
3mo ago
What model is “AI”?
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Bnjoroge
3mo ago
til, thanks!
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Bnjoroge
3mo ago
Using tokens to evaluate models is an outdated approach. Cost per task is what matters. Not all tokens are created equal
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Bnjoroge
3mo ago
Why a clone over a worktree? The obvious disadvantage I can see is you dont share your git objects with a clone and for really large repos that becomes an issue
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Bnjoroge
3mo ago
Demo looks cool, congrats on the ship! Probably missed but is it possible to externally share/view the built artifact outside of prized?
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Bnjoroge
3mo ago
i'll take that 100% over llm slop.
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Bnjoroge
3mo ago
what exactly do they do to "tune" it? It's not Deepseek's official harness, and going direct with deepseek using ur own harness is stupid cheap
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Bnjoroge
3mo ago
I use these guys. https://crof.ai/tos . Their prices match deepseek, pretty dang fast, and support ZDR. Maybe they serve quantized models but I havent seen a drop in quality from my evals using them vs Deepseek or even for o
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Bnjoroge
3mo ago
It’s a pretty safe assumption that most recent projects use AI in some capacity. Models have gotten pretty good
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Bnjoroge
3mo ago
Did you try Headscale? https://github.com/juanfont/headscale or netbird? The latter has been great for me.
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Bnjoroge
3mo ago
I’ll take that over something AI generated that’s not free
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Bnjoroge
3mo ago
Yea I cant convince myself to pay api pricing unless my employer is doing it
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Bnjoroge
3mo ago
I’ve unfortunately had to temper my excitement with Cognition’s models/products given the amount of unwarranted hype they created with Devin on first release, but hopefully this is good.
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Show HN: Run multiple Docker Compose instances for your agents
2 points
by
Bnjoroge
4mo ago
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0 comments
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Bnjoroge
4mo ago
Interesting, any benchmarks for how well it works?
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Bnjoroge
4mo ago
Looks cool, but I couldnt find any benchmarks for how well this does. Any links?
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Bnjoroge
4mo ago
It was a rough heuristic for how much more opus/5.5 would presumably cost if you extrapolate from glm5.2 prices. In any case input tokens for 5.4/4.6 are 70-100% more expensive, cached about 3-100%, and output tokens anywhere from
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Bnjoroge
4mo ago
You can make a fairly decent assumption by calculating the margin on serving glm 5.2, and adding say 30% extra costs and it still leaves a healthy margin
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Bnjoroge
4mo ago
I dont think that’s accurate. I mean look at how much more expensive frontier closed source models are vs something like glm 5.2 which is just about as good. Serving glm is really cheap, and high margin. Obviously no one knows, just how muc
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Bnjoroge
4mo ago
Cool. What rag techniques did you use?
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