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▲ levinb an hour ago

Apologies - you are right. There's some "put up or shut up" to this that's fair play. Also yes, probably naive, or having a less than adaptive response would be true.

I've been tending to my backup plan for a few years, and it's only been in the past year or so that open models were good enough to apply to projects like this, I've been working as hard as I can given my constraints.

This work shows a potential pathway to intepretability, which is actually part of what will give the labs that have it the sort of economy-swallowing capability that for the moment is just IPO hype.

I don't comment here often, but this guy's blog posts are going to go down in Hackernews lore like the original Dropbox posts, and I just want to make sure I'm on the record for this little slice of history.

▲stopsayingsorry 33 minutes ago | parent | next [-]

>This work shows a potential pathway to intepretability, which is actually part of what will give the labs that have it the sort of economy-swallowing capability

And how would you argument that? From what I see, if anything, it's the opposite.

▲igleria 36 minutes ago | parent | prev [-]

I guess I'll say "I was here too".

When you say interpretability you mean understanding without doubt why an output happened, thus opening the gates for audit-dependant work like accounting?

▲levinb 30 minutes ago | parent [-]

More like 'models instantly and efficiently adaptable to any use case' and 'what if we could predict all public pricing information accurately, understand why, and know how to act on it'.

I'll leave it at that and get back to work.