Does anyone know about the jailbreaks and attacks they are referring to? These are done through model queries?
Why would you trust anything they say at face value? When they literally just showed you they are being deceptive by sneaking in the weasel word “almost”?
Firstly, none of this post is the contract people are signing. So it's merely a summary.
Secondly, like all contracts I'm sure there will be exceptions for holding data longer than 30 days with reasonable cause, eg a legal hold.
One of the major attack vectors is distillation, where millions of questions are auto-generated and coordinated to produce training data for new LLMs. Anthropic alleges Minimax, Deepseek and Kimi were trained this way. Deepseek 4 compares favorably to Opus, so they're probably trying to prevent Deepseek 5 from being a bootleg Mythos. https://www.anthropic.com/news/detecting-and-preventing-dist...
It takes a lot of audacity to train on all the data you can without any license, attribution, etc and then act like you can own the outputs of the model so that someone else doesn't make a model from your data without a license. I've lost a lot of respect for Anthropic in the last 24 hours.
Everyone knows it's bullshit but because these companies are being valued at a trillion dollars a piece, it's hard to say that if you were in their shoes you'd do any differently.
How can you make such bold and generic claims without some data backing it?
actuaries look for data. visionaries take leaps in faith. There was no data proving LLMs will work at scale. Google waited for the Data. OpenAI and then Anthropic took the leap of faith. The result is there for all to see. The core attribute of a successful AI Researcher was were they AGI-pilled and not were they waiting for data for unknown unknowns?
> actuaries look for data. visionaries take leaps in faith
Does anyone know about the jailbreaks and attacks they are referring to? These are done through model queries?
One of the major attack vectors is distillation, where millions of questions are auto-generated and coordinated to produce training data for new LLMs. Anthropic alleges Minimax, Deepseek and Kimi were trained this way. Deepseek 4 compares favorably to Opus, so they're probably trying to prevent Deepseek 5 from being a bootleg Mythos. https://www.anthropic.com/news/detecting-and-preventing-dist...
Distillation is not an "attack", despite Anthropic themselves coining the self-serving phrase "distillation attack". And as others have noted, it is precisely identical to the sort of "attack" on published works which Anthropic themselves used to train their models.
It takes a lot of audacity to train on all the data you can without any license, attribution, etc and then act like you can own the outputs of the model so that someone else doesn't make a model from your data without a license. I've lost a lot of respect for Anthropic in the last 24 hours.
Everyone knows it's bullshit but because these companies are being valued at a trillion dollars a piece, it's hard to say that if you were in their shoes you'd do any differently.
This may surprise the cohort on hacker news but there are large amounts of people on this planet that value things beyond money like ethics or having principles. Excusing absolutely repugnant behavior because of money to be made is so deeply antihuman, but then again most people working at LLM companies are deeply antihuman to start with.
A startup that uses agentic coding tools such as Claude Code or Codex is packaging up their entire codebase and sending it directly to their LM provider. Depending on their product, they might be sending it directly to a potential competitor. Odd times we are living in!
people over-rate how much software/IP is useful in running a successful business. There are genuinely very few IP in this world that needs to be protected. Everyone else is running stupid CRUD apps They also over index fear of LargeCo stealing IP from SmallCo. In fact, LargeCo is typically more scared about even the possibility of any product team looking at competitor internals due to lawsuits.
> They also over index fear of LargeCo stealing IP
That seems to be a bold statement considering the whole business of this LargeCo is based on stolen IP.
Given the model intelligence plateau and public data exhaustion the only way to improve in customer use cases is by training the model on customer data.
If this is true, than Anthropic, Google and maybe OpenAI models will keep getting better and better and everyone else will be left in the dust - as they won't have access to so much customer data.
China has proxies that sell cheaper access to frontier models in exchange for permission to train on your data.
It is actually worse than that. It is at least 30 days. There is an "almost" that is doing a ton of heavy lifting here "deletion after 30 days in almost all cases". My read of that is they can hang onto data for as long as they want, even if they usually won't. And "all traffic" with an agentic harness is basically your entire codebase you work on. > We will require 30-day retention for all traffic on Mythos-class mo…
I cannot help wondering if the 'we won't train on your data' applies across the fence over there in pentagon land, where the classified contracts be. Yeah, of course they are not connected. Or.. Present user-llm activity is a goldmine of intel the agencies literally spent lives and billions on getting hardly close to, yet they elect to just let this one slip by.. Maybe. Really, I don't dispute it. But why? It's what,…
We've already gone through ECHELON, USAPATRIOT, TIA, PRISM, etc.. Either learn from the pattern and and plan accordingly, or be one of the credulous rubes caught off guard in the next wave of leaks.
This company is so smug lol, they think it's ok to bomb kids in Iran but don't let people do some biological research
I thought they previous refused to help with war efforts earlier?
They refused to allow autonomous weapons and domestic surveillance. They were fine with use in weapons with a human in-the-loop and with surveilling non-US nations.