FranklinMaillot

22 Followers
200 Following
85 Posts

Une analyse sobre et éclairante de Ghassan Salamé, un diplomate expérimenté.

#Israel #Palestine #Gaza

https://www.youtube.com/live/WesL6vorDs8

Internationales - Ghassan Salamé - 14 octobre 2023

Ghassan Salamé, ancien ministre libanais et ancien négociateur de l'ONU en Irak et en Libye est l'invité d'Internationales cette semaine.

YouTube
Procrastinator: "I'll be back."

Ami·e·s du mauvais goût, bonjour.

Dans la bande-annonce de #TheCreator (en salles le 27 septembre prochain), aviez-vous remarqué cette déflagration... directement reprise d’une vidéo de l’explosion du port de Beyrouth le 4 août 2020 ?

Un sujet qui me tient à coeur dans ma nouvelle chronique à l'Express:
La correction des fausses informations scientifiques dans les médias.
https://www.lexpress.fr/sciences-sante/sciences/la-science-sait-se-corriger-pourquoi-pas-les-medias-par-franck-ramus-JUXQTU7XQBA77D4OU5I4SQFRFA/

Pour creuser le sujet, voir ma série d'articles sur les médias : https://ramus-meninges.fr/tag/medias/

La science sait se corriger, pourquoi pas les médias ? Par Franck Ramus

La science sait se corriger, pourquoi pas les médias ? Par Franck Ramus

L'Express

A man in Saudi Arabia has been sentenced to death for his tweets, and surprise: Elon Musk is NOT funding his legal bill as promised because there's a good chance that the necessary data to identify this man came from the second largest shareholder of Twitter: the Saudi prince Alwaleed bin Talal.

Musk has been awfully silent about this as you can't really make your “freedom of speech!!” argument when you assist with killing a retired teacher for the regime critic posts they made on your platform, only possible because that regime owns a huge chunk of “your” platform.

Elon Musk Silent on Man Sentenced to Death for His Tweets

The incident is the latest test of the limits of Elon Musk's support for free speech.

Newsweek

A thought experiment in the National Library of Thailand—or why #ChatGPT (or any other language model) isn't actually understanding.

https://medium.com/@emilymenonbender/thought-experiment-in-the-national-library-of-thailand-f2bf761a8a83

@emilymbender Another way to look at it. Let's assume an entity that receives inputs, has computing power and a reward function. It can detect patterns and can respond as to maximize its reward. Does this entity understand its environment and can it reason? If your answer is no, then you'll have to admit the same for humans. Aren't we only able to access the world through sensory inputs and do we have any mean to make sense of the world other than pattern recognition and a reward function?
@emilymbender Fascinating thought experiment. Here's my take. An often overlooked feature of LLMs is word embedding which encodes words relationship relative to each other as vectors. Vectors for 'good' and 'bad' are opposite to each other. Vectors for dog breeds are clustered in the same region, etc. I believe that this vector space captures something from reality and that's what we call "meaning" and "understanding". Couldn't we build that vector space from the library?

It's guess the movie from emojis, but #chatGPT is doing the guessing.

https://puzzlemoji.com/

PuzzleMoji

Can you describe a movie or show using only 3 emojis?