https://en.m.wikipedia.org/wiki/Differential_privacy

Differential privacy has multiple methods of recovering the input data from output data, but that is most often only quite simple models. Hence it might be possible.

Actually there are specialized LLMs for code like Codex so I don’t know. I think this kind of stuff will make the mundane tasks a lot faster to perform. That’s about it for now but who knows what the future holds?

No. The most positions were HR by last layoff’s. They still huge demand for technical people, many countries have specific programs „Blabla 2030“, each of them need 100 thousand tech people for their agenda. Let’s talk about this in 10 years again

So.... your meeting transcript becomes part of gpt's training dataset. No Thanks!

Right, thanks for the distinction. I was using the term bot, but referring more to bot-assisted human play. I don't doubt automated inputs can usually be detected, I was more interested in the theoretical poker play stuff.

Maybe have your vectors attend to each other and learnably output your final query vector?

History has shown what happens at technological breaking points. Yes, you may not want to earn a living as a horse carriage chauffeur, however, there are opportunity to become a car chauffeur.

I think your premise is wrong, it’s not about replacement, it’s about evolution.

It’s not about ‘threatening’ jobs, but improving certain aspects of it.

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Might be just me, but I really hate how the reply is returned in the UI. Even if the subscription will solve the random interruptions during generation, the word-by-word printing kills me, I'd rather wait a bit but receive my answer in one piece

I thought so too, but haven't actually notice any difference, other than how the davinci models don't have the extensive content filters.

>if you use it for work, $20 is negligible

If my company pays for it, sure, otherwise I'll always prefer the request-based pricing with a nice API that I can just call from my terminal

its douvle edged sword. But its not worth putting any effort when Linux doesn't bring any money to table

Maybe you can take a look at ScanNN

It will automate some parts of CS jobs but not gonna replace all because the CS jobs is not just about wrting the code. there are much more than that and the hardest one is problem analysis

Without referring to the paper again, my intuition is that a pairwise loss over final outputs does not gel well with how the model is auto-regressively generating the text.

Generation with GPT is basically a token by token decoding process with the previous time steps taken into account. Think about the difference between a supervised learning problem vs reinforcement learning. The former ignores the step-by-step nature of the generation scheme, and is a poorer fit for a decoding problem.

Most clients don’t even know what software they need. Software engineering isn’t entirely about writing code. You have to solve the problem of a client, which sometimes the client can’t clearly articulate. Perhaps there would come a time when programmers would write a large project assisted by an AI in a very short time.

Looking for some model like prototypical netowork-like. using distance to classify the new class

This "its taking our jerbs" hysteria reminds me of the fear of immigration

You want to query with multiple vectors but don’t want to query with the vectors separately and don’t want to query with the mean of the vectors? You are going to need to give more details about what you want to do then.

Thanks!

Strange how programs might not work correctly in a browser that takes privacy seriously... I wonder what might cause that? /s

Hmm can you elaborate a bit as someone who works in ai? How are you labeling data with gpt-3?

If it helps educate people who talk fart, its golden.

But ALSO if it does not cost you anything…why not try it just to see what happens lol

Could probably take the output before the classification layer, feed it into an SVM and just train the svm with the class you're looking for

Living on the Edge.