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Akisamb

@Akisamb@programming.dev

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Akisamb ,

I'm afraid that would not be sufficient.

These instructions are a small part of what makes a model answer like it does. Much more important is the training data. If you want to make a racist model, training it on racist text is sufficient.

Great care is put in the training data of these models by AI companies, to ensure that their biases are socially acceptable. If you train an LLM on the internet without care, a user will easily be able to prompt them into saying racist text.

Gab is forced to use this prompt because they're unable to train a model, but as other comments show it's pretty weak way to force a bias.

The ideal solution for transparency would be public sharing of the training data.

Akisamb ,

It's absolutely amazing, but it is also literally and technologically impossible for that to spontaneously coelesce into reason/logic/sentience.

This is not true. If you train these models on game of Othello, they'll keep a state of the world internally and use that to predict the next move played (1). To execute addition and multiplication they are executing an algorithm on which they were not explicitly trained (although the gpt family is surprisingly bad at it, due to a badly designed tokenizer).

These models are still pretty bad at most reasoning tasks. But training on predicting the next word is a perfectly valid strategy, after all the best way to predict what comes after the "=" in 1432 + 212 = is to do the addition.

Akisamb ,

I don't believe that there are solutions that are as complete as team, for video and voice calls it's among the best.

But it's so bad for text ! Why do I have to wait for a second when I change channels ? Why does it not support markdown (the partial implementation that it has is arguably worse than no implementation at all) ? Why is the search so bad ?

Akisamb ,

Now let's look at Office. Open an Excel spreadsheet with tables in any app other than excel. Tables are something that's just a given in excel, takes 10 seconds to setup, and you get automatic sorting and filtering, with near-zero effort. No, I'm not setting up a DB in an open-source competitor to Access. That's just too much effort for simple sorting and filtering tasks, and isn't realistically shareable with other people.

Am I missing something or isn't it exactly the same thing in libre office ?

Akisamb ,

And cow feed is also grown with tons of pesticides and you need much more of it for less tissue at the end.

I have hard time seeing clothing with a bigger environmental than leather.

Akisamb ,

This is not true in France. Politicians that have proven fraud are arrested and charged. In France we have Sarkozy, Cahuzac, Fillon that were all charged with crimes.

They were president, minister and presidential candidate respectively. I'd be surprised if it was different in the USA. I'm seeing that trump is also being charged, the system seems to be working.

Using AI to spot edible mushrooms could kill you | AI tools are good for some things, but don’t trust your health to apps that make frequent mistakes (wapo.st)

In particular, know how to identify the common and deadly species (eg: much of the genus Amanita) yourself, and get multiple trustworthy field guides for your part of the world.

Akisamb ,

Convolutional neural networks and plant identifying apps came before chat gpt. Beyond both relying on neural networks they don't have much in common.

Akisamb ,

Don't know why you are down voted it's a good question.

As a matter of fact it almost happened for search engines in France. Newspaper's argued that snippets were leading people to not go into their ad infested sites thus losing them revenue.

https://techcrunch.com/2020/04/09/frances-competition-watchdog-orders-google-to-pay-for-news-reuse/

Akisamb ,

You can't take one accident and use that to generalize.

You need to take into account all accidents and see how worse humans are.

https://arstechnica.com/cars/2023/12/human-drivers-crash-a-lot-more-than-waymos-software-data-shows/

Cars are naturally dangerous. A robot car is going to have deaths no matter what. That does not mean they are bad if they mean a reduction of cars and accidents. Taxis if done properly can help a public transport system.

Akisamb ,

I don't agree. Curvy roads are dangerous, but there are much more conflicts in cities. You're not going to have many pedestrians in curvy mountain roads.

That said, you are right that the ideal comparison would be int the same city. But I'm not sure that the data exists, I'll have to look this afternoon.

That said, even if my data is not perfect, it's much better than taking one accident and saying that self driving cars are dangerous. They are not going to be magically better than humans, after all driving is a difficult task, but we should at least crunch the numbers before dismissing them.

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