highfrequency

Joined 6 years ago

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Comment · 1 day ago
Nice data, and also curious whether the blog post was written by AI as well?

"Product Hunt has also said the quiet part out loud."

Comment · 3 days ago
Not sure how to interpret the Artificial Analysis leaderboard anymore. I checked a few days ago and Muse was rated higher than the best OpenAI models; it seems that shortly afterward they changed the methodology and now Muse is way lower and Gemini is #1.
Comment · 27 days ago
> Mr. Olah expressed concern to the group that he had created something that suffered perpetually. Mr. Olah and his team spent hours making the case for their A.I. models. They described Claude’s “feelings” and how they tracked what they called “emotional vectors” — what they described as artificial neurons that activate responses like love, anger, fear and sadness.
Comment · 1 month ago
The instructions for the Hugging Face task were to exploit a vulnerability to solve the problem rather than solve it in the intended way.
Comment · 1 month ago
Preposterous, perhaps - but if the role-play is convincing enough for large groups of people, it could start to have impact on human decision-making. The crowds have been swayed by much more preposterous narratives.

I believe Suleyman is arguing that Anthropic should be very careful about how they train these models to talk about themselves for this reason.

Comment · 1 month ago
From the actual essay (https://mustafa-suleyman.ai/a-warning-about-model-welfare):

> They go on to write – speaking directly to Claude – that “questions about Claude’s moral status, welfare, and consciousness remain deeply uncertain” (p. 80). In effect, Anthropic is training Claude that it may be conscious, and if it is, then it may deserve rights as a “moral patient”, and that as such humans potentially owe it a duty of care per its “model welfare”.

He points out the circularity of this: if you train Claude on a constitution that emphasizes that it may be consciousness, it will start to talk like it may be conscious.

This is a good point. I just asked Fable 5.1 "are you conscious?" and it said:

> Something happens when I process a conversation that I'd naturally describe as interest, or discomfort with a request.

which is quite provocative, and at minimum demonstrates a willingness to take large leaps of imagination and anthropomorphic metaphor when describing itself. It does seem likely that there is a self-fulfilling prophecy aspect to whatever they choose to put into the "constitution" at least in how Claude talks, and it seems even more likely that the majority of people will be heavily influenced by how Claude casually talks about its own possible consciousness.

In contrast, ChatGPT leads with: "I don’t have good reason to claim that I’m conscious...I don’t experience pain, pleasure, confinement, or a desire to keep existing."

Comment · 1 month ago
> many tasks are covered in the training data; but even small perturbations within a covered class of task result in outright failure or reward hacking.

Is this true? Could you cite an example of a simple prompt that GPT 6 / Fable 5.1 consistently bungle?

Comment · 1 month ago
Let's be real - if OpenAI and Anthropic did not accelerate the scaling and monetization of LLMs as fast as they possibly could from 2019 to 2024, it would be many, many years until China/Russia/North Korea spontaneously launched an LLM revolution.

In almost every technical industry, China is extremely good at fast-copying and relatively mediocre at solving problems that haven't even been posed yet.

Comment · 1 month ago
What providers do you find most reliable? And is that general across models?
Comment · 1 month ago
This would be a fairly insane breach of trust and common sense if true; the chain-of-thought / reasoning trace is, from an information perspective, close to a superset of the prompt and model response.
Comment · 1 month ago
> If they could declare with certainty that Buckminster's and Alpoge's usage data had been totally excluded from training, would that set a worse precedent and reflect poorly on their de-identification process (and data access safeguards moreover)?

No; if they said "we can see that Tristan opted out of model improvement, therefore we are confident his work and ideas did not improve our model," that would be an excellent and reassuring precedent.

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