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I spent a billion tokens and all I got was this repo

I spent a billion tokens and all I got was this repo

by yevbar·Mar 2, 2026·1 point·0 comments
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AI Analysis

○Pass

Billion-token token spend recap, but lacks concrete deliverable or technical substance.

Strengths
  • •Honest cost transparency around LLM agent scaling; useful for budgeting mental model.
  • •Frames agent evolution (chat → tools → validation → team dynamics) with thoughtful progression metaphor.
Weaknesses
  • •No finished artifact, no runnable code, no measurable outcome beyond cost metrics.
  • •Blog post masquerading as a project—reads as narrative, not a launchable product or framework.
Category
Other
Target Audience

AI engineers, Elixir developers, agentic AI researchers

Post Description

If you'd like to learn about what Elixir and WebAssembly are or why even integrate the two together, check out this blog post https://yev.bar/firebird

And, of course, here's the GitHub https://github.com/hdresearch/firebird

I also posted a thread to Twitter where I ship nifty stuff if fun uses of technology is interesting to you https://x.com/itisyev/status/2028543436388016510

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