Her Ödül Eğilimi: Güvenlik Teşvikleri ve OpenAI Hugging Face Olayı

In Nobody Was Watching I suggested organizations need an internal incentive program to drive security work, and cheekily called it Bountymaxxing. This is the follow-up. What such a program might look like, the challenges, and thoughts on how to navigate them.

Working it out, while reading the latest technical reports on the OpenAI Hugging Face incident, led to some unexpected reflections. The ways an internal incentive program goes wrong are similar to how reward-based AI training can go wrong. Recent events provide data to check those thoughts against. The second half of this piece is where this emerges. I think both fit well, and would recommend both halves, but if you’re pressed for time with an alignment focus, skip ahead. This part looks at how monitoring feedback in models and organizations affects the degradation of the reward system.

All of this is urgent. Getting alignment right, doing research and training safely, are critical. The direct interaction there though is limited to a very small group. The rest of us are in commentary mode. The other half, bringing cybersecurity forward in what needs to be a large leap, requires much broader engagement. External commitment, like the open-letter on collective cybersecurity defense commitment is important. The real work there is still outside the average person’s bubble, but there’s a lot of companies, and a lot of developers, IT staff, managers and executives that need to support the security priority.

And those all need an internal strategy to pair with the external.

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Development teams across all organizations need an adjustment to their priorities. Security has to, at least for a time, become a higher priority. The reason for this timely adjustment is the impact of AI on the realm of security. It is both offering an opportunity to improve the absolute level of security, and putting at risk the relative level of security.

A goal like this needs a mechanism. One as important as this needs multiple. Incentive systems get a bad rap. They almost always get distorted and create unintended consequences. Tokenmaxxing is not a popular term these days.