Still, our daily habits are a treasure trove of surveillance information: The apps we use; public spaces riddled with facial recognition tech; AI assistants that know who we are and what we like; the places we shop, the smartwatches we wear, the phone you're probably reading this article on. Even the most careful are still leaking data out into the world, but how do we spot where we are particularly vulnerable, and what should we do to feel more secure?
Proactively plan for a pause in scaling. We will manage our plans and finances to support a pause in model training if one proves necessary, or an extended delay between training and deployment of more advanced models if that proves necessary. During such a pause, we would work to implement security or other measures required to support safe training and deployment, while also ensuring our partners have continued access to their present tier of models (which will have previously passed safety evaluations).
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"If I get disappointed, I get disappointed really hard - so I actually do this thing where I'll look at who I'm up against and decide, 'OK, I'm rooting for them instead'."
But in the months since, Meta's wearable eye camera device has received widespread blowback, following a rise in influencer content depicting Meta glasses wearers secretly recording and even harassing unsuspecting strangers. Wearers have deduced ways to obscure the glasses' always-on recording light, intended to alert the public when a user is taking video, and instead turned the smart device into a tool for viral pickup artists and pranksters.
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