- no serious plan for mass unemployment

- the risk of an underemployed middle class leading to violent outcomes as it has in the past

- (many) humans wanting to be useful, to have purpose in life and a place to put their natural ambition

- concentration of economic power in the hands of an ever-shrinking pool of people, from a couple of countries making up 20% of the world population

Luddism came from a place of genuine suffering and fear, which was not misplaced - the industrial revolution lead to amazing new jobs, but not for the Luddites themselves. With AI it's not even clear if those new jobs will come - it seems like the goal is a world where humans will not need to worry about thinking anymore.

So is wanting this to slow down really such a ridiculous notion?

Maybe it doesn't 'understand' in the experiential, qualia way that a human does. Sure. But it's still a valid and useful simile to use with these models because they emulate something close enough to understanding; so much so now that when they stop doing it, that's the point of conversation, not the other way around.

My fear is that this is as hopeless right now as explaining why humans or other animals can learn certain things from their huge amount of input data. We'll gain better empirical understanding, but it won't ever be fundamental computer science again, because the giga-datasets are the fundamental complexity not the architecture.

That's kind of the point - I think there's three scenarios here

a) this just the first time an LLM has done such a thorough minesweeping b) previous versions of Claude did not detect this bug (seems the least likely) c) Anthropic have done this several times, but the false positive rate was so high that they never checked it properly

Between a) and c) I don't have a high confidence either way to be honest.

'Or none' is ruled out since it found the same vulnerability - I agree that there is a question on precision on the smaller model, but barring further analysis it just feels like '9500' is pure vibes from yourself? Also (out of interest) did Anthropic post their false-positive rate?

The smaller model is clearly the more automatable one IMO if it has comparable precision, since it's just so much cheaper - you could even run it multiple times for consensus.

I think SWE as a mainstream profession is much nearer to the end than the beginning, I'm curious and quite scared about what becomes of us.

Sometimes you need data in a certain order. Sometimes there is no primary key. And it is nuts how janky the pandas API is if you just want the index to mean the current order of the dataframe and nothing else. Oh you did a pivot? I'm just going to make those pivot columns a row label now if that's alright with you. I don't do that for all functions though, you're going to have to remember which ones. Oh you want to sort a dataframe? You better make damn sure you reindex if you're planning to use that with data from another dataframe (e.g. x + y on data from separate dataframes), otherwise I'm going to align the data on indices, and you can't stop me. Also - want to call pyplot.plot(df['column'])? Yeah I'm giving it the data in index order obviously I don't care about that sort you just did. Oh you want to port this data to excel? Well if your row labels aren't meaningful and you don't want "Unnamed: 0" you're going to have to tell me not to. You need to manipulate a multi-index? You're so cute. Have fun with that buddy.

There is a reason no other dataframe library does this - because it's confusing and cognitive overhead that doesn't need to exist. I've used pandas since ~2013, had this chat with colleagues and many recommend just giving in and maintaining an index throughout. Except I've read their pandas and it sucks because now _you_ need to reason about what is currently the index - because it actually needs to change a lot to do normal things with data. I just use .reset_index copiously and try to make it behave like a normal dataframe library because it's just easier to understand later. Pandas has not earned the right to redefine what a dataframe means.

At the absolute least, index behaviour should be opt-in, not something imposed on the user.