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Kept hitting usage limits so I analyzed my token use: 96% of my spend was the model re-reading conversation history. A message in a 500k-token chat costs 8x the same message in a fresh one. So I made a tool that automatically hands off your chats when context gets too big, the code is below I included a context meter in the status line for real-time feedback, plus a script to analyze your chats too. They want us to use more tokens. Use less. gist.github.com/cprkrn/d3f12…

If you can't afford over 3k$ per month on Ai you are f*cked. The inequality that's going to exist after 22nd of June when fable goes credit based is going to be insane. Paying 20 or 200 a mo th is just not going to be competitive

At this rate, the first solo unicorn is going to have to be someone who was already a billionaire before they started, just to afford the tokens.

big labs should force their employees to have token limits this would cause them to be more innovative but instead they are becoming lazy and wasteful which means we don't see any efficiency gains since they aren't affected by the costs but yeah... "do loops"

Hot take: We don't need a more powerful model like Mythos right now. GPT-5.5 (5.6 coming soon), Opus 4.8, and similar models are already more than capable for most use cases. What we need to solve is the cost problem. If AI keeps getting significantly more expensive, 99% of developers won't be able to afford these models at scale and will end up going back to manual coding.

crazy how much of startups economics is buying tokens for $10m and selling them for $5m and bragging about $5m in revenue