Tuna-Fish
Joined 19 years ago
Joined 19 years ago
The only ways to fight this is trying to either: 1. Block it by cutting off access, which is pretty tough because it basically means you cannot offer unmonitored access which is a no-no to a lot of customers, and even then the workload looks very similar to actual real workloads and if the company doing the distilling is a bit sneaky and using intermediaries etc it's almost impossible to stop, or:
2. Try to use IP law to block the practice, which is pretty gross given how they got the data in the first place, and so far no court has supported them on this. And even if they can make it illegal, it won't actually help because there are countries that see having top-tier AI as a national priority and will actually support their companies breaking laws to get there.
People misunderstand why Anthropic is being so stingy about granting access to their top models. It's not some kind of marketing ploy, they know that if they release them fully openly then there will be a Chinese open-weights model in 3 months that is just as good. Also the reason why they try to hide chain-of-thought and the probability distributions.
IMO the next big shift in AI hardware is when some of the upcoming logic-compatible memory types mature. Inference inherently likes many small local pools of memory, with their own interface each. This is impractical with currently available memory other than sram.
They care not one bit about virtualization security when the threat model is themselves attacking one of their tenants.
Do you think that the Japanese system where permitting is centralized away from local government antidemocratic?
It's not actually in their interest to look too closely. They know they are selling snake oil, and they do not care if it works. The only function of the technology, as far as they are concerned, is to be something they can market to customers who are scared at running on public cloud, and either they never intend to exploit it, in which case it doesn't matter if it doesn't work, or they do, in which case they don't want the vulnerabilities to be found and fixed. Either way, there is no upside to them for going spelunking.
The homeowners are making rational choices. That's the problem. As the most expensive asset a typical homeowner will ever own is their home, it makes rational sense for them to support any policy that supports it's value and oppose any policy that undermines it's value. Building more housing undermines it's value.
And this is why the local community absolutely should not have any more say about a new development than a hypothetical someone who would like to live there, but can't, because there is no available housing.
It is probably an useful layer because some of the attacks are not feasible for a remote attacker who has compromised the host but require actual physical access. But the marketing spiel of protecting your data from Amazon itself is just lies, physical access is more powerful than root access, no exceptions.
If you are actually good at linear algebra, it's doable in an afternoon.
They are fantastically simple in structure, all the intelligence is in the massive piles of data in them, not their structure. Then there is of course a lot of room in optimization once the basics are done.
If interested, maybe start here: https://www.deeplearning.ai/courses/how-transformer-llms-wor...