Works with 5.6 sol also, when you're deep in the weeds. I rationalize this as the models attempting to compress as much into the fewest tokens, though the choice of words often doesn't make sense to me, going back to read the original after, its often there. It definitely feels like a different sort of 'Machine Language' though xD
Read the room Anthropic. Maybe don’t use AI to reply to a thread complaining about how AI output is hard to read.
blast radius, land, landed, lands, spine, earned its keep, grammar, spike, cutover, bake, seams, honest, honestly, honesty, long pole, long poles, register, grain, dissolve, floor, ladder, dear, seal, sealed, in anger, resent, amazing, incredible, perfect, sprint, epic, story points, stand-up, retro, grooming, robust, comprehensive, rigorous, surgical, elegant, systematic, dive, deep-dive, delve, unpack, leverage, streamline, surface, it's worth noting, to be clear, importantly, that said, the moment, in one breath, the thing itself, here's the thing, not just X but Y, not X it's Y, em-dashes
I've seen it in many companies. I don't think there's a vaccine yet.
latentsea•11m ago
Bluestein•3m ago
I am really really really trying to wrap my head around this. I am of course first discarding the obvious: "more tokens used is simply more tokens burned ..."
... read somewhere that it is partially a result of Claude now wanting to be ready for longer, more complex, mutli-step work. And this verbiage is the result.-
Whatever it is, they've got people begging for 4.6 back (wrt tone).-