We went line-by-line through the new DoD policy on autonomous weapons so you don't have to!
The new CNAS Noteworthy on DoD Directive 3000.09, Autonomy in Weapons, analyzes changes from the prior policy and what they mean for the U.S. military cnas.org/press/press-no…
Quick takes below on what's in and what's out. [THREAD]
Bottom line: The DoD just released an updated Directive (an official policy document) that guides the U.S. military's policies on autonomy in weapons (e.g., lethal autonomous weapons).
What drove this? Internal DoD bureaucratic guidelines actually force the Department to either renew, update, or cancel *any* Directive within 10 years. So this update was driven by a fixed timeline, not necessarily by any external or internal factors.
The All-Volunteer Force turns 50 this year. What does the war in Ukraine tell us about the future of the All-Volunteer Force (AVF)?
[THREAD]
War is, fortunately, a rare occurrence. In peacetime, militaries build theories, implicitly and explicitly, of what future wars will look like that inform force design and force management.
In war, militaries find out – sometimes quickly and painfully – whether those theories were right.
The United States has been on a steady path towards selectively decoupling U.S.-China tech ties. That's a mistake.
Decoupling alone will not secure U.S. interests. [THREAD]
While overall U.S.-China trade ties are strong, U.S. policymakers have been steadily taking efforts to pull apart the deeply integrated U.S. and Chinese tech ecosystems. bloomberg.com/news/articles/…
Huawei's dominance in global 5G markets, and the risk that close allies might rely on Huawei equipment for their telecom networks, was a major wake-up call for Washington.
I sometimes get a skeptical 🤔 response to concerns I've raised about countries falling into the trap of a "race to the bottom" on safety for military AI systems.
But it's worth pointing out that these competitive dynamics are happening *now* in the commercial sector. [THREAD]
Predictability, when there are potentially hundreds of billions of dollars at stake, companies are willing to take more risk in fielding a technology that continues to have a host of difficult, unresolved problems (bias, toxicity, and just plain making shit up).
Artists are suing Stability AI and Midjourney, alleging copyright infringement for including copyrighted images in their training data without permission.
But this isn't the David-and-Goliath story you might think it is. [THREAD]
At the core of the lawsuit is whether or not including copyrighted images in a training dataset is "fair use."
The lawsuit over art generators mirrors a similar lawsuit over code-generating models. The same lawyers are representing a class-action lawsuit against Microsoft, OpenAI, and GitHub over Copilot. theverge.com/2022/11/8/2344…