@algoroad

[@algoroad @algoroad]

Many engineers get discouraged or give up when marketing a product they’ve been tirelessly developing for months

They’re jumping ship halfway through a journey because progress feels much slower than coding

Balance your life and stay afloat during the push from 0.5 - 1

[James Lucas @JamesLucasIT]

Thread of photographers who patiently waited to capture the shot of a lifetime 🧵

1. Leonardo Sens (3 years)

[@algoroad @algoroad]

@khushxxl True

[𓇢 𓆸 @bactriian]

actually, life is beautiful and I have time

[@algoroad @algoroad]

@AIAdsApps comment

[@algoroad @algoroad]

@blakeandersonw This a good call

[@algoroad @algoroad]

@hthieblot ChatGPT

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@Jacobsklug drama

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@Cprip_ nicely done

[@algoroad @algoroad]

@alexoakdev @AladdinMhir Template

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@alexoakdev Locked in

[@algoroad @algoroad]

@jeffreyando So important to remember

[@algoroad @algoroad]

This is your calling to take a vision trip to Palo Alto

[@algoroad @algoroad]

@apralky @blakeandersonw @grok explain the terminology used in this post and the intended meaning of it

[@algoroad @algoroad]

@grok @apralky @blakeandersonw @grok why are these philosophers discussed in 21st century popular culture?

[@algoroad @algoroad]

@mnigos0 @forgebitz Prices are ridiculous at the moment. I'm going to have to switch too

[@algoroad @algoroad]

@barusebi @cursor_ai feeling the same way...

[Tyler @tylerscheviak]

I love seeing my friends win

[OpenAI @OpenAI]

Understanding and preventing misalignment generalization

Recent work has shown that a language model trained to produce insecure computer code can become broadly “misaligned.” This surprising effect is called “emergent misalignment.” We studied why this happens.

Through this research, we discovered a specific internal pattern in the model, similar to a pattern of brain activity, that becomes more active when this misaligned behavior appears. The model learned this pattern from training on data that describes bad behavior.

We found we can make a model more or less aligned, just by directly increasing or decreasing this pattern’s activity. This suggests emergent misalignment works by strengthening a misaligned persona pattern in the model.

We also showed that training the model again on correct information can push it back toward helpful behavior. Together, this means we might be able to detect misaligned activity patterns, and fix the problem before it spreads.

This work helps us understand why a model might start exhibiting misaligned behavior, and could give us a path towards an early warning system for misalignment during model training.

https://t.co/nZ3SYhnZZn