Well they’re in luck; the US already has working quantum computers, and quantum-resistant encryption.
adespoton
joined 3 years ago
They had fun with that; kept inventing new ways to count, and then taught their classmates with various levels of success.
Thankfully, their teachers got on board and didn’t see it as being disruptive.
You’re on to something here. I raised my kids to use technology as a tool, not as a babysitter. They didn’t have smartphones with SIMs until after they’d learned to drive. But they knew how to count in binary on their fingers by the time they were three. They’re really good at recognizing when something was LLM-generated, and only use LLMs when it’s required.
I think there’s quite a few kids like them out there, but they aren’t the ones you hear about.
Back in my day, a few of us did homework, and others got other people to do it for them, or made up excuses as to why they couldn’t turn it in.
Thing is, with the latest frontier models, the least skilled person can find a crack in the most secure company around, as long as they can string a few sentences together.
It isn’t about “bare minimum” anymore. All it takes is a single lapse in vigilance from a single employee, and they’re in… and the LLM doesn’t have to pause to figure out what to do next.
researchers at the University of California San Diego are building a pathway for the second life of phones through the exploration of “phone cluster computing.” This is a process whereby the motherboards of retired smartphones are extracted, collected into clusters, and redeployed as a general-purpose computing platform. With Google’s support, the university plans to deploy a datacenter built from 2,000 Pixel smartphones that will provide hundreds of researchers and students with low-cost, low-carbon cloud computing, reducing the need for newly-manufactured hardware and their associated emissions.
Well, it’s better than nothing. I presume these are trade-in phones. And it means that in this era of memory scarcity, existing memory is being reused instead of scrapped AND new memory isn’t being earmarked for these data center deployments.
However, this appears to currently be a one-off publicity deployment, not a go-to strategy.
Because Google, Bing, Yandex and Baidu already exist.
Any new competition starting up now would need really deep pockets to compete for the decade or so it would take to make any sort of profit.
Of course they are… that’s what CVEs are all about!
Another in the AI-discovered list of related kernel bugs, yes.