Tokenmaxxing is for suckers.
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Ooh baby. We're moving now... first benchmark results for token-efficiency. Lowest token spend by far.
Notice the caching difference? Less caching, but fewer tokens through more intelligent architecture.
https://t.co/rxTUOHyiaS
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.
https://t.co/q9Ww5eXrs1
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
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.
@rywiggs@mercury Will the agent get denied the account instead of the human then? Or does it conveniently say success and wait for the first deposit to cancel your account?
@duoduobz@SemiAnalysis_ This is what EndpointContextProtocol is for. Markdown for agents. HTML for humans. Zero new infra.
The fact that it's ignored by so many is amazing, especially the ones talking about agent SEO.