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Discussion (85 Comments)Read Original on HackerNews
Instead the AI companies reached these absurd settlements with publishers that made a mockery out of all the previous copyright enforcement victims.
> Instead the AI companies reached these absurd settlements with publishers that made a mockery out of all the previous copyright enforcement victims.
Isn't that at least something? How many people pirating software ever settled with the companies they "victimized?"
This isn't even about a single person or personality. Very few people in such position could stand fast by their moral code. In any case, an environment that favors profit above everything will naturally select for individuals who are unencumbered by such hindrances.
There might've been 100s of Altmans and Amodeis who had a strong moral code but we don't know about them because they dropped out of the "race" because of said moral hurdles.
Exactly. Dairy farms optimise for milk production so favour cows that produce the most milk.
The market economy optimises for profit so favours those most willing/able to generate it. Zuckerberg, Musk, Thiel, Andreesen and co are products of the system.
I think appropriate attribution is a moral code, but I am not able to attribute every idea I have to all those who helped me develop the general intelligence that I use to develop such ideas.
It is likely that the US will get a live feed from each AI provider that they are inspecting in real time to identity things of interest, terrorist attacks or foreign government planning or even foreign companies competitive to key US companies.
It will give them access to the though process in those companies as well as much of their text-based IP (source code, docs, meeting transcripts, etc)
Also if you are using local AI that you didn’t train yourself you can never be sure it doesn’t have purposeful biases in its reasoning that may disadvantage you - such as directing you away from certain plans or ideas or patents etc.
If a token compresses to around a byte, worldwide AI input and output is around 1 gigabyte per second.
For any intelligence agency, they can afford to keep and store all of that forever, and later do analysis on it.
The timezone fetch was to alter program behaviour at runtime, not to send arbitrary timezones for tracking reasons.
It was one way of detecting if it was a chinese person using the program and then behaving differently.
Malware behaves this way. STUXNET for example was wired to do nothing except propagate unless the environment had the right conditions.
Most services I know that are trying to block abuse do collect device info
The issue is that by distilling Claude, Alibaba reuses the IP anthropic used to train the model that's more akin to historical Chinese reverse engineering methods and disrespect of IP
When these tools first appeared the overwhelming conversation was about the risk of letting a remote tool siphon your code and intellectual property (where eventually they're going to add that to their training). Now everyone is using them, and that fear seems to have dissolved. Every corporation is sprinkled with Claude Code, Antigravity, Copilot, Codex, and so on. Even the long fear-mongered Chinese providers are being heavily used in many spaces.
In this case this is a PR battle between two firms, and it isn't much more. And Alibaba isn't worried about the "proprietary code" (the truth is that there is incredibly little interest in most orgs code), but that the tool is a backdoor, or at least that is the claim.
I think from a commercial perspective yes, but access to source code is very good for finding exploits which could be very valuable for governments. I could also see a future where companies are directly cyber-attacking competitors in hostile markets too...
Until the first big incident, yes.
use claude-code see how good it is send 100k bots to distill fable 5 (GLM 5.2 is the result of this) release Zcode ditch claude-code ban claude-code
[1]https://www.reddit.com/r/ClaudeAI/comments/1ujila1/anthropic...
> No! Don't install that lodash thing without explicit approval from IT. Oh, you want a license for Charles Proxy? Gee, I dunno... we've got a budget to maintain.
Employers in 2023:
> No! You can't use ChatGPT at work – it's a security risk.
Employers in 2024:
> Okay, you can use Github Copilot I guess, but you'll have to endure boring corporate training on what you're allowed to do with it.
Employers with dollar signs in their eyes in 2025:
> We attended a seminar about vibe coding. Why aren't you dumbasses keeping up with the times? Use Claude Code for everything! Don't write any of your own code anymore. We don't even really care if you use yolo mode. Just review code and push 10x more features! Use unlimited tokens! Money printer go brrrrr.
Employers in 2026:
> You mean giving one or two companies full autonomous access to our workstations while stupifying our engineers wasn't a sound business plan?
https://news.ycombinator.com/item?id=48759754
Workarounds aside, it says Claude Code not Claude.
i.e. they are using the CLI running any model. You can for instance run GLM with it.
Claude Code is neither and it is literally info stealing malware.
What's a "distillation attack"? How is it different from simply distillation?
Unlike the vast majority of people Anthropic stole from.
And they constantly publish state of the art LLM research (see DS4 context compaction and cache tech).
They have very capable tech giants. So while not being able to distill western models would probably have some impact, it's probably becoming lesser as time passes.
We might even see Western LLMs distilling Chinese models soon. If they aren't already to some extent.
More than a year ago, when Anthropic and OpenAI started to gide the reasoning bits from the output, a lot of people here on HN predicted that Chinese models days were numbered.
Fast forward to today, and models such as DeepSeek and MiMo are nothing short of excellent. I haven't used GLM or Qwen but heard very good things about them as well.
This "massive distillation" sounds a lot like anxiety about how companies from outside the US can develop very good models themselves.