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トップ新着トレンドコメント過去質問紹介求人

Qision

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投稿

Tournesol – Collaborative Content Recommendations

github.com
2 ポイント·投稿者 Qision·11 日前·0 コメント

Clear Physics

cphysics.org
6 ポイント·投稿者 Qision·9 か月前·2 コメント

The Beginner's Textbook for Fully Homomorphic Encryption

arxiv.org
251 ポイント·投稿者 Qision·10 か月前·46 コメント

コメント

Qision
·11 日前·議論
> My LinkedIn feed

Do you seriously use that?
Qision
·12 日前·議論
> blockchain developers

Is there still such a thing?
Qision
·23 日前·議論
Everything is AI, you are AI, I am AI, my kettle is AI and soon atomic particles will be AI.
Qision
·2 か月前·議論
> What could be the reason for this?

Hype
Qision
·5 か月前·議論
Why doesn't AMD make a similar framework than CUDA? Is this so much of a task? But if that increases their market share that should be financially viable, no?
Qision
·9 か月前·議論
> Built on Google Sheets you own your data

What?

/s
Qision
·10 か月前·議論
Sorry for not responding earlier. This is probably a bug but it's super weird... I just emailed the mods about this.
Qision
·12 か月前·議論
If I understand correctly companies like OpenAI could run LLMs without having access to the users new inputs. It seems to me new users data are really useful for further training of the models. Can they still train the models over encrypted data? If this new data is not usable, why would the companies still want it?

Let's assume they can train the LLMs over encrypted data, what if a large number of users inject some crappy data (like it has been seen with the Tay chatbot story). How can the companies still keep a way to clean the data?
Qision
·昨年·議論
What is so special about IUT? They say the theory is "out of this world" but in what sense exactly? Did Mochizuki found a new interesting way to look at some ideas?