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A debate is heating up in AI development circles around what's being called tokenmaxxing — the practice of throwing more tokens at a problem to squeeze out better results. Rob Whiteley of Coder argues this is a textbook case of Goodhart's Law: when a measure becomes a target, it stops being a good measure. The real signal, he says, lies in release speed and pull request merges, outcomes that tell you whether agentic AI is actually moving work forward. There's also a harder question underneath all of this about what happens to junior developers when AI democratizes the skills they were hired to build.
Shifting to crypto, bitcoin is struggling to hold sixty-five thousand dollars for a fourth consecutive day, with traders now eyeing seventy thousand as the next psychological threshold. An oil price rally has revived inflation concerns ahead of fresh U.S. price data, dragging XRP and ether down alongside the broader market.
And in a quieter corner of the blockchain world, the BIP-one-ten fork — a breakaway chain that split from bitcoin on Saturday — has produced just two blocks while bitcoin has mined more than three hundred in the same window. At that pace, the chain is roughly six years away from resolving its own difficulty adjustment problem.
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