256BitChris
Joined 9 months ago
Joined 9 months ago
These things do work that previously would have taken expensive engineers months to do, at much lower quality, and what's our response? Ti nit pick on it being more verbose than we'd like?
Just like with humans, when someone is being too verbose, there's a skill to just filter through the noise and focus on the important parts.
This feels no different when I use an AI.
But I guess it's a good sign that we've from complaining about 'AI slop code' to, 'I don't like how it speaks to me'.
I remember something with either ChatGPT or Claude, way early on, where I had to upload my passport to use some level of it (maybe it was the OpenAI API).
Anyway, there's no way they just shut this completely down, the revenue from mythos is huge. So if they can't get the government to budge they'll find a way to be compliant without completely shutting down.
People confuse price with cost all the time. The price of Opus has dropped from $75/1M output tokens to $25. That's the price. The cost is much lower and according to Dario, about a month ago, they had about a 73% margin.
I don't understand how anyone would use GitHub copilot...it's basically running a custom harness and using close to API pricing for Opus. This is why Microsoft is cooked in this game.
But yeah, I don't understand why people switch from subscription to API prices for Claude. They're way higher, but again that's price and not necessarily the cost to Anthropic to serve.
I personally have had to use DuckDuckGo to search for things that Gemini finds to be against its instructions to answer.
And I'm not talking about things that are NSFW, but some things that Gemini just doesn't want to discuss.
That's kinda Gemini's problem in general, it just is overly restrictive and doesn't like to talk about anything things that Claude will freely talk about and push against and discuss with you.
However, the core utility of the best AI (read: Anthropic's ATM, by miles), will still exist and be leveraged by those who have learned to use it well.
I could also see the exponentially declining power requirements offsetting the exponential-but-slower rate of AI compute demand, which then renders a lot of unused capacity in these massive data centers.
I think of it like the old mainframes in the 70s which would take an entire city block to run, and now we have the equivalent of millions, if not billions of them in our pockets.
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