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Generative AI Is an Engineering Disaster. A shockingly inefficient trillion-dollar project.
(www.theatlantic.com)
this post was submitted on 15 Jul 2026
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Technology
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DeepSeek has really led the way here, especially as they are a bit more hardware constrained. Plus they openly publish their findings and release open source models, so high hopes there.
It's probably China's play to pop the AI bubble, but I'm all for it (:
I wonder what all is in the deepseek code that is malicious. I'd like to try it but don't want a million Mb/s of tracker shit across my network and can't run it myself.
The beauty of it is that it doesn't need tracker shit. It works to destroy the US AI bubble even without anything malicious within.
And considering how hard the US researchers have been trying to control the output of their general LLMs, with little success, why would the Chinese have found a way before everyone else even thinks it's possible?
They are open source models, nothing malicious about them. I'd be much more careful about where you run your agents on. The wrong prompt can even make a non-malicious model misbehave.
AFAIK, their open models are distributed as weights, not executables and are therefore not able to start network connections / run code. There if of course tool-calling functionality but that just works by having the model output a special pattern and having something external run predetermined commands based on that.