Akisamb

joined 2 years ago
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[–] Akisamb 0 points 1 year ago (1 children)

You can absolutely go to a corner store and buy alcohol. It's not a coincidence that it kills 3 million people per year worldwide.

Making drugs more accessible will increase consumption, that said it might reduce the negative effects for the consumers. If we allow the sell of drugs we should do everything we can to avoid the current situation with alcohol.

Make the packaging ugly, make people understand that they are consuming something that will at best reduce their life expectancy at worst kill them and generally reduce he quality of their lives.

[–] Akisamb -1 points 1 year ago (3 children)

Sure but look at alcohol, the consumer knows exactly what he's purchasing. Didn't stop a person I knew from dying from this shit.

Drugs should be difficult to get to reduce the chances of recreational use.

[–] Akisamb 1 points 1 year ago* (last edited 1 year ago) (1 children)

These models are Markov chains yes. But many things are Markov chains, I'm not sure that describing these as Markov chains helps gain understanding.

The way these models generate text is iterative. They do it word by word. Every time they need to generate a word they will randomly select one from their vocabulary. The trick to generating coherent text is that different words are more likely to happen depending on the previous words.

For example for the sentence "that is a huge grey" the word elephant is more likely than flamingo.

The temperature is the way you select your word. If it is low you will always select the most likely word. Increasing the temperature will make the random choice more random giving each word a more equal chance.

Seeing as these models function randomly there is nothing preventing them from producing unique text. After all, something like jsbHsbe d dhebsUd is unique but not very interesting.

[–] Akisamb 2 points 1 year ago (4 children)

This chatgpt cannot create a truly unique new sentence for example (A thing any of us here could easily do).

What ?

Of course it can, it's randomly generating sentences. It's probably better than humans at that. If you want more randomness at the cost of text coherence just increase the temperature.

[–] Akisamb 2 points 1 year ago

Another aspect is that price negotiation for medecine is done done by the government. This is different from the USA where even Medicare doesn't have the right to negotiate it's price's.

Private insurers also get some of their insured redistributed between them by the government so that one insurer doesn't take all the expensive cases.

[–] Akisamb 2 points 1 year ago

It's a brand, you can perfectly call your product Gruyère like in France and nobody will buy the product because they know it won't probably taste like the real stuff.

Don't know why people have such a hard time understanding why the original creators of a brand want to keep a monopoly on it.

[–] Akisamb 4 points 1 year ago (1 children)

Same principle why Google can index pretty much all books in existence. They were sued over this and won. Same thing will happen here.

As long as these models are not providing the copyrighted material to their users they should be safe.

[–] Akisamb 13 points 1 year ago (3 children)

Even if 99% of it would evaporate that would still be a ridiculous amount of power.

But Bill Gates proved that diversifying a stock of mainly one company while having that company keep all its value is possible. Elon Musk is horrifyingly rich like it or not. His power and the damage he can do is huge.

[–] Akisamb 3 points 1 year ago* (last edited 1 year ago)

Ma tante a eu la légion d'honneur (patronne d'une partie d'une grosse entreprise française). Quand elle l'a eu pas mal des têtes des entreprises de son secteur l'ont eu. Du coup la justification c'est les services que le secteur a fait a la France.

En plus c'était après le COVID et suppression de postes, les syndicats ont trouvé la chose gonflé.

[–] Akisamb 7 points 1 year ago (1 children)

J'imagine que son cœur bat toujours.

[–] Akisamb 2 points 1 year ago

Thanks for taking the time to type it out, I couldn't read the letters on the picture as my phone is too small.

[–] Akisamb 2 points 1 year ago* (last edited 1 year ago)

If you're looking for the mathematical side, I'd recommend The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition that said it's quite old school, you won't find any information on why the new techniques work (especially deep learning). Still, if you want to understand bootstrapping, bias variance decomposition, the curse of dimensionality, I'd say this is one of the best books.

I'll also share recommended readings of different EPFL courses that I did for my masters degree :

  • Linear algebra and learning from data
  • The elements of statistical learning : data mining, inference, and prediction / Friedman
  • Understanding Machine Learning / Shalev-Shwartz
  • Neural Networks and Deep Learning / Nielsen
  • Machine Learning: A Probabilistic Perspective / Murphy
  • Pattern Recognition and Machine Learning / Bishop
  • Reinforcement Learning / Sutton
  • Deep Learning / Goodfellow
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