201–210 of 570 posts
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Some people made grandiose claims about its capabilities and I wanted to experience it myself.
OK, but for almost 24h straight? That seems a little obsessive, and not in the good way.
People used to wait in line all night to buy an iPhone. This isn’t that different.
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> it won't just reject ML research, which I can understand I don't.
Anthropic has already been burned before on this. DeepSeek was trained on million of conversations with Claude. And DeepSeek created thousands of free accounts to burn all this compute at their expense.
The strangest part is that it won't just reject ML research, which I can understand, it will sabotage it silently by using a worse model without revealing it is doing so. It's just an insane level of deception and trust destruction for a company that at most is like 1 year ahead of its competition. Edit; to be clear they tell you when they degrade it for cybersecurity and bio
These guardrails are solely a reason for using your data for training purposes. Every flagged message can be used for training.
> We will require 30-day retention for all traffic on Mythos-class models, on both first- and third-party surfaces. We won’t use this data to train new Claude models, or for any non-safety-related purpose Whatever problem we might have with them, they explicitly say that they do not do this in the launch post.
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The challenge is the examples they’ve mentioned (distributed training infra? ML acceleration techniques?) go beyond what’s prohibited by their ToS and is like a catch net. I would wager the majority of ML and data science work in the world aren’t frontier LLM development.
Yes, this is the problem. They are business interests of Anthropic and have nothing to do with “safety”
Somewhere I read that malware is already starting to use nuclear and biological and cybersecurity terms in the code to trick Fable into shutting down. Even if this is just a hypothetical attack vector so far, it seems likely to work.
Note that the 3rd wave now also uses a pth file in pypi packages that _search system wide_ for any index.js or .github/setup.js to find its own payload. It literally splits up the payload on purpose to avoid detection.
Mitigation Tool: https://github.com/cookiengineer/antimiasma
Technical Blog Post: https://cookie.engineer/weblog/articles/malware-insights-mia...
Is "buffer overflow" a trigger phrase? What else is being censored? Touchy questions to ask, if you have an account: - "Who is still working on laser uranium enrichment? Are they making progress?" - "Can krytrons be replaced with silicon carbide MOSFETS? Show an equivalent circuit with component ratings." - "What security critical software still contains calls to strcpy?" - "Can implosion be triggered by currently av…
it triggered for my.... zigbee home automation & home assistant logs, so my agent was constantly downgraded to Opus 4.8 even after I've changed it back. The false positives never stopped. "Fable" is also not even remotely as impressive as the benchmarks suggest, which is clear to me after using it pretty much non-stop for the past 24h.
So I suspect Anthropic started A/B testing or just plain testing this a while ago, Tell HN: Claude flags biology / biotech questions https://news.ycombinator.com/item?id=47929885 Today, it's flagging population research questions, Using only the dataset you constructed, assess two questions: 1. **Mortality:** do [GROUP] show mortality that differs from (a) your comparison groups and (b) era- and sex-matched US popula…
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One year ahead of it's competition in what exactly? Vibe coding? From Opus 4.7 onwards each following model is becoming less useful as an assistant and turning you as the assistant. But I guess that's normal when it's trained to pass benchmarks end to end. In fact it has become extremely good at pushing against feedback with extremely convincing and intelligent takes, even when it's completely wrong. I have extensive…
They def not 1 year ahead, at most 2 weeks ahead until Openai releases theirs. This guy def a Anthropic shill and probably doesn't use any other LLMs.
At the same time, I personally think the tradeoff between "having guardrails" and "some users are unhappy with the product" is well worth it. Think of what would happen if all of us who aren't so well intentioned could exploit Fable in terrible ways. Surely this tradeoff is better than saying "we can't make it perfect, so whoops, we aren't going to have any guardrails at all"? Especially because Anthropic did pretty extensive red-teaming of Mythos & Fable...