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parhamn commented on The first Media over QUIC CDN: Cloudflare   moq.dev/blog/first-cdn/... · Posted by u/kixelated
parhamn · 2 days ago
That "just announced" link is really good if you have no idea what this is about: https://blog.cloudflare.com/moq/ (I missed it)
parhamn commented on OpenFreeMap survived 100k requests per second   blog.hyperknot.com/p/open... · Posted by u/hyperknot
parhamn · 14 days ago
Since cloudflare is already sponsoring it, I do wonder how much of this type of service can be implemented all on cloudflare. Their stack could be great for tile serving.
parhamn commented on Open models by OpenAI   openai.com/open-models/... · Posted by u/lackoftactics
cco · 19 days ago
The lede is being missed imo.

gpt-oss:20b is a top ten model (on MMLU (right behind Gemini-2.5-Pro) and I just ran it locally on my Macbook Air M3 from last year.

I've been experimenting with a lot of local models, both on my laptop and on my phone (Pixel 9 Pro), and I figured we'd be here in a year or two.

But no, we're here today. A basically frontier model, running for the cost of electricity (free with a rounding error) on my laptop. No $200/month subscription, no lakes being drained, etc.

I'm blown away.

parhamn · 19 days ago
I just tested 120B from the Groq API on agentic stuff (multi-step function calling, similar to claude code) and it's not that good. Agentic fine-tuning seems key, hopefully someone drops one soon.
parhamn commented on Most people who buy games on Steam never play them   howtomarketagame.com/2025... · Posted by u/3Samourai
parhamn · a month ago
Umberto Eco's game library.
parhamn commented on The Prime Reasons to Avoid Amazon   blog.thenewoil.org/the-pr... · Posted by u/DanAtC
SoftTalker · 2 months ago
Good rule of thumb is that if it goes on or in your body do not buy it from Amazon.
parhamn · 2 months ago
Where's the best value & quality for that sort of stuff? It's insane what some sites charge for seemingly simple supplements.
parhamn commented on Introducing tmux-rs   richardscollin.github.io/... · Posted by u/Jtsummers
TechDebtDevin · 2 months ago
It wouldnt have gotten 2% finishd. It wouldn't have compiled. Its a waste of time to even consider.
parhamn · 2 months ago
> It wouldnt have gotten 2% finishd

What do you mean by this? I'd assume the process would be very very incremental. One function + accompany tests at a time, verify and continue and keep moving up the tree.

It's an interesting problem because I imagine in the future lots of things will be ported like this.

parhamn commented on Introducing tmux-rs   richardscollin.github.io/... · Posted by u/Jtsummers
Jtsummers · 2 months ago
> Interesting, this article and the comments make no mention of LLMs.

https://richardscollin.github.io/tmux-rs/#ai-tools

parhamn · 2 months ago
Using Cursor to refactor the unsafe code is quite a different task than using an LLM to translate into safe rust. I was just curious how it would perform.
parhamn commented on Introducing tmux-rs   richardscollin.github.io/... · Posted by u/Jtsummers
parhamn · 2 months ago
Interesting, this article and the comments make no mention of LLMs for the initial translation. Really surprising given that would be the first thing I'd reach for for a translation/porting task (though verification could get tricky).

Now I really wonder how a good model like Sonnet 4 would have performed.

parhamn commented on Claude Code now supports hooks   docs.anthropic.com/en/doc... · Posted by u/ramoz
parhamn · 2 months ago
This needs a way to match directories for changes in monorepos. E.g. run this linter only if there were changes in this directory.
parhamn commented on Show HN: TokenDagger – A tokenizer faster than OpenAI's Tiktoken   github.com/M4THYOU/TokenD... · Posted by u/matthewolfe
matthewolfe · 2 months ago
Agreed. I figured nobody would use it otherwise.
parhamn · 2 months ago
Put it in there readme & description. It's a big selling point.

u/parhamn

KarmaCake day4780October 6, 2012
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Building:

https://bearly.ai - LLM toolkit https://synth.app - Research browser

Email: pnegahdar@gmail, or parham@bearly.ai

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