AI labs shift away from scaling model parameters as security concerns mount
By
oshrimpton
Summary
Major AI labs are shifting away from the paradigm of endlessly scaling model parameters and training data. This skepticism was highlighted when Claude Fable 5 became the first US AI model banned for national security reasons just three days after release, due to a single jailbreak posing too great a risk. The article challenges the "bigger is better" assumption, noting that GPT-5.5 hallucinates 3x more than the smaller, MIT-licensed GLM-5.2, suggesting that model size alone is not the path forward.
Source
Hacker NewsAI labs shift away from scaling model parameters as security concerns mountarrowtsx.devKey quotes
· 3 pulledA shift is happening among major AI labs, who are becoming increasingly skeptical of endless parameter count and training data scaling.
One of the biggest models in the world was banned because a single jailbreak was too much of a risk.
GPT-5.5 hallucinates 3x more than MIT-licensed GLM-5.2
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