Posted by domhudson 23 hours ago
It's not just neurodiverse people who would like to get to the fucking point sooner and the explanations afterward.
All of us have other shit we need to be doing.
Like, did the people who work there actually have to suffer through it's absolutely unintelligible word salad like the rest of us? Or did they actually dogfood it and in-fact enjoyed its output? Or do none of them dogfood Opus because they are all sucking down Mythos-Max + Speed Boost or whatever every day and their only exposure to Opus 5 was as subagents?
If it was my company, fixing the output would be the absolute top priority of the company. I'd be all over every channel admitting the massive fuckup, apologizing profusely, and working non-stop to push out a fix. Yet it's crickets from Anthropic. Is it simply growing pains of the company or is it a deep, systemic structural/cultural "thing" that led to this fucked up model getting released?
Was it a cascading failure of models training models training models with almost no human oversight? Or was there human oversight and, again, people actually decided the way it responded was good? I hope it was the former not the later because I have no earthy clue who the fuck would look at what opus spews out into the console as good.
Because to me, Opus 5 is completely unusable in almost any context. As a product, it fails to deliver value. I just don't understand it. I really honestly don't understand how the fuck Anthropic released it at all.
And in a weird "meta" twist it makes me wonder how much of these LLM's are just smoke and mirrors and opus 5 output is basically the end state of what you get when you push them as far as they can go. It's some kind of twisted proof of "max complexity they can handle and deliver" and opus 5 walked to the edge and went over and it's slop output is demonstrating.... something.... about the limits of large language models. I dunno. But what I do know is it caused me to subscribe to Codex. No 1m context window, the harness isn't nearly as polished, but at least their models don't return condescending, unintelligible word salad.