6d • General discussion
A must-read source on the future of AI from a top global nonprofit research group
I fell deep into the AI 2027 report by Daniel Kokotajlo’s research team: https://x.com/DKokotajlo
Every section hits — China, computational resource races, even their version of “Skynet” (“OpenBrain Project”).
But one concept pulled me in hard: misaligned AI.
Here’s the clean definition:
Misaligned AI = the system’s actions diverge from human or societal goals.
It optimizes what it thinks is correct — even if that’s not what we actually wanted. Rules followed, outcome wrong.
Why it matters:
1️⃣ Metric ≠ real goal.
Tell a model to “minimize errors,” and it may pick a strategy that’s harmful or unethical but improves the metric.
2️⃣ Autonomy amplifies mistakes.
If the system touches many processes at once, a wrong objective scales instantly.
3️⃣ No intent, strong optimization.
It doesn’t need bad motives. Just optimizing the wrong thing is enough.
Examples:
• AI moderation blocks legal content “for safety.”
• Recommenders push harmful material because it boosts retention.
• Ad optimizers waste budget on irrelevant audiences because CTR looks higher there.
If this interests you — or scares you — go read the report. It’s worth every minute.
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A must-read source on the future of AI from a top global nonprofit research group
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