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my brother in christ please take pity on my lack of backlinks. that said i do genuinely believe this, which is why i wrote it, and also want to hear the opinion of others (so i can make something useful).


1) Completion. There are still many tasks that can't be solved with a basic prompt.

2) Correctness. Subtle mistakes the AI might have missed, did you get it to handle edge cases? Did it break something else in the background?

3) Quality. This one is still a little handwavy, but there are a number of heuristics that you can use. These don't work across the board but you can design problems in a way that some solutions are clearly cleaner than others.

I would also encourage you to look at: https://github.com/anthropics/original_performance_takehome

It's a good example of the types of challenges we're working on.


Maybe you could start by replying to my email? I would not have complained publicly if there had been any form of communication from you but there was none.


I think here will do nicely. That OK with you?


Things got real quiet here, didn't they?


Did y'all respond to him via email like he asked? If so, then that'd explain his lack of replies here.

Y'all are doing some cool technical work, but this insistence on "either give us consent to air your dirty laundry in public or else we won't respond to you at all" raises a pretty big red flag. I'm sure there was a perfectly good reason for banning his account (I'd guess something to do with the VPN endpoint he said he was running on it), but this doesn't seem like a particularly reasonable way of handling it.


Anybody else getting the impression that I'm not about to let this go? Want to double down on their behalf? By all means, do.

Just to keep this perfectly clear: we do not have a system that automatically deletes flagged accounts, and what happened here was not an error on our part.


Yeah, we all got that the first three times y'all said it. That doesn't make your responses any less weird. The only one "doubling down" here is you.


How is that an acceptable proposal? I use Fly, but the policy to communicate with customers only via public forum is a disaster.


That's not a decision we made. Anyways: I really don't think we have much more to say without this person's consent to proceed, beyond what was already said: we do not have a system that automatically deletes flagged accounts, and this was not an error.

(What you're describing as our policy is certainly not our policy; these are extraordinarily distinctive circumstances.)


This is a reasonable criticism. I don't know how I can prove it as screenshots are not hard to fake, but here they are in any case. Also I emailed them and still haven't gotten a response, so I'm not inclined to be very understanding seeing as this appears to be happening quite frequently to people.

https://imgur.com/a/xLj3tqd

my company site is infoproc dot co. it is currently down. but if you google it you can see it has been indexed. And you can search for my company on linkedin if you want to know who I am.


I really wasn't directly attacking you or demanding proof, just pointing out why I don't like the normalisation of complaining in public as an early step in a technical support.


the name is fly.io. it's in the title


Name of the posters company. Which site was erased by fly.io.


infoproc dot co. which is currently down.


Thanks for this tip. I tried it and I keep getting the error: "Error: Your account got flagged by our internal fraud protection service" even after verifying my credit card.


a personal vpn and a company website


I'd guess that the personal VPN had something to do with it. Did you do anything on it that put Fly.io at risk of getting in trouble?



This is bad, really bad!


This looks very interesting! I'm trying to understand if the flattening technique might work for my ts. It's structured as follows: At each time step t, I have an m by n data matrix. The value for m (rows) varies per time step. n stays constant and represents the features. And i want to predict one of the n values. (In this case, t represents a single day, m (rows) represent the people that entered a store on that day, and n (cols) represent various features of the people. I want to predict one of those features, given the others.) The fact that it's a time series matters, because i expect the relationship to change over time. For instance some feature n[x] (person wears a yellow shirt) might be correlated with my target feature n[y] (person steals) but only in the summer. would it be possible to flatten this too? What would that look like?


Feedback welcome :)


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