The Fraud of Big AI
Key topics
They announce every 2% improvement but never mention when they swap in cheaper inference or add output limits. This isn't confirmation bias when the model literally cannot complete tasks it did a month ago. Are we just supposed to accept that the product we're paying for gets worse while the marketing gets louder? How is this not a bait and switch? Either give us API version pinning for the actual model weights or admit you're optimizing for profit over capability.
The author accuses major AI companies of degrading their models' capabilities over time while marketing them as improving, sparking concerns about bait-and-switch tactics and profit prioritization.
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- 01Story posted
Oct 27, 2025 at 10:41 AM EDT
2 months ago
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Oct 27, 2025 at 10:45 AM EDT
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Oct 27, 2025 at 10:45 AM EDT
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