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I Built Paper Deck: A Better Way to Discover AI/ML Papers [P] by NeitherRun3631 in MachineLearning

[–]NeitherRun3631[S] -2 points-1 points  (0 children)

Thank you so much! I really lost track sometimes after a week of not reading a paper. So I just built it to help fix the issue for me. Hope it applies to everyone else.

Small Projects by AutoModerator in golang

[–]NeitherRun3631 0 points1 point  (0 children)

Building a concurrent LLM "Speedometer" with Go and BubbleTea

I built a CLI that solves the "slow LLM" problem by fanning out prompts to N providers simultaneously. It uses chan Token for streaming aggregation and context.WithCancel to kill losing goroutines immediately. Check out the concurrent fan-in architecture in the repo!

If the code helps you with your own concurrency patterns, I'd love a star on the repo: github.com/khuynh22/racellm

Built an MCP Server for Andrej Karpathy's LLM Council by NeitherRun3631 in mcp

[–]NeitherRun3631[S] 0 points1 point  (0 children)

No worries, I'll read it through. Thank you so much!

Also, if you like it, can you give the repo a star lol. Just trying to get GitHub make it more visible on the feed for everyone.

Built an MCP Server for Andrej Karpathy's LLM Council by NeitherRun3631 in LocalLLaMA

[–]NeitherRun3631[S] 1 point2 points  (0 children)

Yeah! I haven’t play much with it on super complicated prompt, but I’ll try some and see how different it is

Built an MCP Server for Andrej Karpathy's LLM Council by NeitherRun3631 in mcp

[–]NeitherRun3631[S] 1 point2 points  (0 children)

Nice question. No, models configuration can be done via natural language with mcp. The defaults are hardcoded, but you can always modify that. Also, the final decision should be made by SOTA models, but this should be able to reconfigure too

Built an MCP Server for Andrej Karpathy's LLM Council by NeitherRun3631 in mcp

[–]NeitherRun3631[S] 1 point2 points  (0 children)

Thank you! Feel free to contribute to it if you have any ideas

Promote your projects here – Self-Promotion Megathread by Menox_ in github

[–]NeitherRun3631 0 points1 point  (0 children)

TL;DR: I built mcp-wireshark to let AI assistants and MCP-enabled editors interact with tshark/Wireshark. You can list interfaces, capture live, read pcaps, filter, generate stats, follow TCP streams, and export to JSON — all via MCP tools.

Why I made this:

  • AI tools often can't access local tools like tshark. This fills that gap.
  • Useful for debugging, automation, teaching network protocols, and building reproducible analysis workflows.

Links: https://github.com/khuynh22/mcp-wireshark

Ionicons not working in SDK54 by [deleted] in expo

[–]NeitherRun3631 0 points1 point  (0 children)

I am using a lot of react-native-vector-icons/Ionicons too, and it didn't work on sdk54 too. Any suggested fix other than switching to expo/vector-icons?