Well, clunkiness and inherent imprecision for one? We don't need to turn every determinisic application into an LLM wrapper, which produces corrrect outputs x℅ of the time, where x < 100. I can only imagine the negative impact if auch tools become widely spread, we already see the damage the AI slop is creating in hyperscaler infrastructure, software, content etc. To now translate this into the world of physical machines and structures, bears even greater risk. Plus your subscription model is a. super-intransparent, based on token usage b. Risky, as your pricing is clearly dependent on the AI-model providers billing, which as we see from the recent GH Copilot episode, is set up for significant hikes across the board.
how come?
Well, clunkiness and inherent imprecision for one? We don't need to turn every determinisic application into an LLM wrapper, which produces corrrect outputs x℅ of the time, where x < 100. I can only imagine the negative impact if auch tools become widely spread, we already see the damage the AI slop is creating in hyperscaler infrastructure, software, content etc. To now translate this into the world of physical machines and structures, bears even greater risk. Plus your subscription model is a. super-intransparent, based on token usage b. Risky, as your pricing is clearly dependent on the AI-model providers billing, which as we see from the recent GH Copilot episode, is set up for significant hikes across the board.
In transparent in what sense?
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