Claims of "90% token savings" from DIY tricks are probably overstated

A Reddit user pushed back on claims that individuals can build a prompt or tool that cuts token (context) usage by 90%. The argument: companies like OpenAI, Anthropic, and Google are already spending millions or billions to make token management as efficient as possible, so it's unlikely someone could easily match or beat that from home with a few clever prompts or tactics. It's compared to claiming you cut a car's gas consumption by 90% with a single home idea.

The core issue is that managing context is a limitation built into how (LLMs) work, and reducing token use while keeping speed requires serious engineering. Every major is currently racing to solve this problem.

Key points

  • Claims of individually achieving 90% token savings through clever prompts are likely overstated
  • Major s (OpenAI, Anthropic, Google) already invest heavily in
  • is a limitation inherent to how LLMs work, not an easy fix
  • All major s are currently racing to solve the context/ problem
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