This is not an absolute fact.

It depends entirely on the commenter's jurisdiction.

https://x.com/RampLabs/status/2042672773747589588

Would be good to keep track of how long it takes you to complete, so you can compare it with how long it takes Opus and then Fable to accomplish the same thing.

From their docs[1] (archive copy is at [2]):

> You can opt out of training through our privacy portal by clicking on “do not train on my content.” To turn off training for your ChatGPT conversations and Codex tasks, follow the instructions in our Data Controls FAQ. Once you opt out, new conversations will not be used to train our models.

> For a linked teen account, a parent or guardian may manage whether conversations can be used to improve our models through Parental controls.

> Even if you have opted out of training, you can still choose to provide feedback to us about your interactions with our products (for instance, by selecting thumbs up or thumbs down on a model response). If you choose to provide feedback, the entire conversation associated with that feedback may be used to train our models.

[1] https://help.openai.com/en/articles/5722486-how-your-data-is...

[2] https://web.archive.org/web/20260910151242/https://help.open...

Instantly reminded me of this especially apt comic:

https://pbs.twimg.com/media/EyJfRwHWYAI0_yt?format=jpg

[1] Also available here: https://www.reddit.com/r/ProgrammerHumor/comments/6jw33z/int...

> I hardly see how the Dow Jones in relevant here, that’s finance

Not Dow Jones. DoW = Department of War.

Claude Fable/Mythos vs GPT-5.6 Sol

Claude Opus vs GPT-5.6 Terra

Claude Sonnet vs GPT-5.6 Luna

Claude Haiku vs ?

In fact, whenever Claude disobeys me, I usually first skim the CoT to figure out if my original instruction was ambigous given the context. I usually come away with a better understanding of how to frame my prompt to be less ambiguous or just force myself to be more explicit when prompting.

Regarding diosbedience, usually this is either due to a blanket instruction from me during an earlier turn in the same session, an explicit instruction in its system prompt or it being just eager to bring a task to completion.

  # ~/.claude/settings.json
  {
    "model": "opus",
    "showThinkingSummaries": true,
    "skipDangerousModePermissionPrompt": true,
    "verbose": true,
    "remoteControlAtStartup": true,
    "agentPushNotifEnabled": true
  }

Obama and a lot of execs were pretty addicted to their BB back in those days.

https://en.wikipedia.org/wiki/HiSilicon#Ascend_910

https://medium.com/@huaweiclouddevelper/a-brief-introduction...

> "The data will help us defend against complex and novel attacks (including new jailbreaks and attacks that operate across many requests) as well as help us identify and reduce false positives."

From: https://www.anthropic.com/news/claude-fable-5-mythos-5

> "Some attacks only become visible across multiple requests. Best-of-N jailbreaking, for example, sends hundreds of slight variations of a prompt in the hope that one will work. Larger patterns of misuse, such as state-sponsored espionage or data extortion campaigns, only surface when our safeguards classifiers can zoom out across many requests. Detecting these threats requires temporarily retaining prompts and outputs so they can be analyzed together, rather than one at a time."

From: https://support.claude.com/en/articles/15425996-data-retenti...

The original source was Kyle Daigle, GH COO.

- https://x.com/kdaigle/status/2040164759836778878

- https://xcancel.com/kdaigle/status/2040164759836778878

That an LLM trained to be a paper-clip maximizer chose the optimal strategy is in my opinion the most plausible outcome.

The assumed timeline (2 months) is slightly wrong because Fable (Latin) is essentially the same as Mythos (Greek) albeit with protections against cyber and biological misuse.

Mythos (Preview) was publicly announced in April 2026 [1] which means other labs have had 4 months to catch up, not 2 months.

Assuming everyone had access to Mythos from the start, your expression, similar to other folks would have been "Mythos-level intelligence" and not "Fable-level intelligence".

1: https://news.ycombinator.com/item?id=47679258

Kudos.

Off-topic:

Some of your comments in this thread are dead, but I’ve vouched for some them as I don’t see anything wrong with what you’ve written, other than your writing here on HN sounds a little like you are using an LLM to compose each reply (or perhaps your regular use of LLMs is showing through in your comments?).

1: https://www.anthropic.com/news/mozilla-firefox-security

2: https://blog.mozilla.org/en/firefox/hardening-firefox-anthro...

Previous discussion: https://news.ycombinator.com/item?id=47273854

1: https://x.com/fynnso/status/2034706304875602030

Add to this number another $1.5m/yr in opex, so not sure I’d call such an enterprise wealthy enough to spend those kinds of sums on LLMs an “SMB”.