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FWIW, this has been the way of working with AI products since the beginning. For example, chatgpt has waxed and waned even without model updates due to how the
by bredren 1y ago
FWIW, this has been the way of working with AI products since the beginning. For example, chatgpt has waxed and waned even without model updates due to how the context gearing behind the web interface.
You can see in various subreddits the spikes in complaints--and there is definitely one in week(s) on Claude Code.
I generally take this as a sign of needing to get more skilled at context control and validation. And that by doing so, you'll be in only a better place once the product you're relying returns to baseline or leaps ahead again.
- tzury 1y agothanks. I suspect those tuning take place in order to maintain cost/experience level, that is, keeping a "good enough" product while cutting cost of inference. I also suspect it is tuned for ultimate experience upon release to grade well on benchmarks and online reports, then tuned back to a level they can bear as they burn investors money. the need is clear, I am just expecting transparency.