Afef Belhadj

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Afef Belhadj

Afef Belhadj

@afef_belhadj

Vice President of ITN & Data job lines for Innovation Domain Orange Group. Passionate about my work, Tunisia 🇹🇳, tech and innovation. My tweets are my own.

France Katılım Temmuz 2015
465 Takip Edilen584 Takipçiler
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Eric Larchevêque
Eric Larchevêque@EricLarch·
« Le Bitcoin ne vaut rien. Il n’est adossé à rien. » C’est l’objection magique de ceux qui ont raté le train en 2013, en 2017, en 2020… et encore aujourd’hui en 2025. Et pourtant, cette phrase trahit une méconnaissance profonde de ce qu’est la valeur. D’abord, c’est quoi une “valeur intrinsèque” ? Prenons un billet de 100 €. Il est en papier. Littéralement. Est-ce que sa valeur vient de sa composition physique ? Évidemment non. Il vaut 100 € uniquement parce que tout le monde est d’accord pour le croire. La vérité, c’est que la valeur est une construction sociale. Elle n’est jamais “intrinsèque”. Elle est subjective, contextuelle, conventionnelle. Et le Bitcoin, alors ? Le Bitcoin n’est pas “adossé à rien”. Il est adossé à une technologie, un protocole, une promesse immuable : ✅ Une offre limitée à 21 millions d’unités, ✅ Un réseau mondial décentralisé, ✅ Une résistance à la censure, ✅ Une sécurité du réseau inégalée, ✅ Une neutralité absolue. Voilà ce que vous achetez. Et visiblement, de plus en plus de gens y voient de la valeur. Ceux qui disent “ça ira à zéro” oublient une chose : la valeur du Bitcoin, ce n’est pas ce qu’il est, c’est ce qu’il permet. Il permet aux citoyens de sortir du système monétaire inflationniste. Il permet aux individus de conserver et protéger leur épargne. Il permet aux entrepreneurs de détenir un actif souverain et incorruptible. Le Bitcoin est adossé à une idée dont le temps est venu.
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Afef Belhadj
Afef Belhadj@afef_belhadj·
#Ai agents are here Now let’s see how we human will deal with such an invention! This is a major milestone into Gen AI transformation journey. We have been discovering, learning, turning around, now the change is here! #genAi #agenticAi #chatgpt
Sam Altman@sama

Today we launched a new product called ChatGPT Agent. Agent represents a new level of capability for AI systems and can accomplish some remarkable, complex tasks for you using its own computer. It combines the spirit of Deep Research and Operator, but is more powerful than that may sound—it can think for a long time, use some tools, think some more, take some actions, think some more, etc. For example, we showed a demo in our launch of preparing for a friend’s wedding: buying an outfit, booking travel, choosing a gift, etc. We also showed an example of analyzing data and creating a presentation for work. Although the utility is significant, so are the potential risks. We have built a lot of safeguards and warnings into it, and broader mitigations than we’ve ever developed before from robust training to system safeguards to user controls, but we can’t anticipate everything. In the spirit of iterative deployment, we are going to warn users heavily and give users freedom to take actions carefully if they want to. I would explain this to my own family as cutting edge and experimental; a chance to try the future, but not something I’d yet use for high-stakes uses or with a lot of personal information until we have a chance to study and improve it in the wild. We don’t know exactly what the impacts are going to be, but bad actors may try to “trick” users’ AI agents into giving private information they shouldn’t and take actions they shouldn’t, in ways we can’t predict. We recommend giving agents the minimum access required to complete a task to reduce privacy and security risks. For example, I can give Agent access to my calendar to find a time that works for a group dinner. But I don’t need to give it any access if I’m just asking it to buy me some clothes. There is more risk in tasks like “Look at my emails that came in overnight and do whatever you need to do to address them, don’t ask any follow up questions”. This could lead to untrusted content from a malicious email tricking the model into leaking your data. We think it’s important to begin learning from contact with reality, and that people adopt these tools carefully and slowly as we better quantify and mitigate the potential risks involved. As with other new levels of capability, society, the technology, and the risk mitigation strategy will need to co-evolve.

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Shruti
Shruti@heyshrutimishra·
I just made a latest GUIDE on ChatGPT to help you learn how to make money with AI & ChatGPT. Usually, I'd charge $149 for this, but today I'm giving it away for free. Like + comment "Send" and I will DM it to you. For the next 24 hours, it's FREE. ⏰ (Must follow to receive DM)
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Min Choi
Min Choi@minchoi·
The wait is over. OpenAI just dropped o1, also known as Project Strawberry/Q* This is new level of AI that can "think" and "reason" before responding to you. 10 wild demos: 1. Coding Video Game from a prompt x.com/openai/status/…
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Ammaar Reshi
Ammaar Reshi@ammaar·
Just combined @OpenAI o1 and Cursor Composer to create an iOS app in under 10 mins! o1 mini kicks off the project (o1 was taking too long to think), then switch to o1 to finish off the details. And boom—full Weather app for iOS with animations, in under 10 🌤️ Video sped up!
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Yann LeCun
Yann LeCun@ylecun·
Meta's Llama🦙 has become the dominant platform in the AI ecosystem. An exploding number of companies large and small, startups, governments, and non-profits, are using to build new products and services. Universities, researchers, and engineers are improving Llama and proposing new use cases on a daily basis This blog post says it all. ai.meta.com/blog/llama-usa…
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Emmanuel D
Emmanuel D@EmmanuelDuret·
Finisher de mon 14eme marathon, le plus exceptionnel 🥇 avec une ambiance de folie, le plus historique, le plus exigeant aussi🔥🔥🔥 Content de le terminer en 3h17 et besoin de récupération maintenant 😉 🍹 #MarathonPourTous #Paris2024 bravo et merci @orange 👏👏👏🧡🧡🧡
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Pierre B.
Pierre B.@Pierre_B_y·
Incroyable performance. La vitesse. Je suis essoufflé en regardant.
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Chief AI Officer
Chief AI Officer@chiefaioffice·
5 new market maps in AI 1. AI code generation tools from Greylock
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NASA
NASA@NASA·
Odysseus, @Int_Machines’ uncrewed Moon lander, is targeted to touch down at the lunar South Pole at 5:30pm ET (2230 UTC) Feb. 22. Watch live with us as this Moon delivery brings science instruments to study the region. go.nasa.gov/49Dw6bW
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