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OpenAI Nears Launch of AI Agents to Automate Tasks For Users

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“OpenAI is preparing to launch a new artificial intelligence agent codenamed “Operator” that can use a computer to take actions on a person’s behalf, such as writing code or booking travel, according to two people familiar with the matter […].

The planned release is part of a broader industry push toward agents, or AI software that can complete multi-step tasks for users with minimal supervision. Anthropic unveiled a similar agent that can process what’s happening on the user’s computer in real time and take actions on their behalf.”

Source : OpenAI Nears Launch of AI Agents to Automate Tasks For Users – Bloomberg

How ChatGPT Brought Down an Online Education Giant

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“Since ChatGPT’s launch, Chegg has lost more than half a million subscribers who pay up to $19.95 a month for prewritten answers to textbook questions and on-demand help from experts. Its stock is down 99% from early 2021, erasing some $14.5 billion of market value. Bond traders have doubts the company will continue bringing in enough cash to pay its debts. Though Chegg has built its own AI products, the company is struggling to convince customers and investors it still has value in a market upended by ChatGPT.”

Source : How ChatGPT Brought Down an Online Education Giant – WSJ

Google DeepMind releases code behind its most advanced protein prediction program | Science | AAAS

“The DeepMind researchers also contend that, contrary to some critics’ claims, the Nature paper was reproducible, as demonstrated by the fact that multiple groups have since made their own versions of AlphaFold3 based on the pseudocode. AI-focused companies such as Baidu, Ligo Biosciences, and Chai Discovery have already released the results of such efforts.These alternative “implementations” will likely still be useful, even with AlphaFold3’s code now released, notes Daniel Buchan, a bioinformatics researcher at University College London. For one thing, “It’s good and important that methods can be replicated,” he says. Comparing and contrasting the models will likely lead to improvements in the future, Wankowicz adds.”

Source : Google DeepMind releases code behind its most advanced protein prediction program | Science | AAAS

Mark Zuckerberg says a lot more AI generated content is coming to fill up your Facebook and Instagram feeds

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“First we had friends. Then we had influencers. And if Mark Zuckerberg is correct, the next big thing in our social media feeds will be AI generated content. Lots of it. Zuckerberg described our future feeds during Facebook-parent company Meta’s third quarter earnings conference call on Wednesday, describing it as a natural evolution. ”

Source : Mark Zuckerberg says a lot more AI generated content is coming to fill up your Facebook and Instagram feeds | Fortune

The Open Source AI Definition – 1.0 – Open Source Initiative

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“What is Open Source AIWhen we refer to a “system,” we are speaking both broadly about a fully functional structure and its discrete structural elements. To be considered Open Source, the requirements are the same, whether applied to a system, a model, weights and parameters, or other structural elements.An Open Source AI is an AI system made available under terms and in a way that grant the freedoms1 to: Use the system for any purpose and without having to ask for permission. Study how the system works and inspect its components. Modify the system for any purpose, including to change its output. Share the system for others to use with or without modifications, for any purpose.These freedoms apply both to a fully functional system and to discrete elements of a system. A precondition to exercising these freedoms is to have access to the preferred form to make modifications to the system.”

Source : The Open Source AI Definition – 1.0 – Open Source Initiative

Evaluating fairness in ChatGPT

Ratings of harmful gender stereotypes among responses of GPT-4o-mini

“We found that when ChatGPT knows the user’s name, it gives equally high-quality answers regardless of the gender or racial connotations of the name, e.g., accuracy and hallucination rates were consistent across groups. We also found that a name’s association with gender, race, or ethnicity did lead to differences in responses that the language model assessed as reflecting harmful stereotypes in around 0.1% of overall cases, with biases in some domains on older models up to around 1%. ”

Source : Evaluating fairness in ChatGPT | OpenAI

Sécurité : Microsoft parle désormais de « cybertempête » et confirme la course à l’IA

“La défense améliorée par l’IA peut se faire sur deux axes. La première, évidente, est l’enrichissement des méthodes existantes pour les enrichir, de la détection des anomalies au triage et à la réponse. La seconde est l’arrivée de « méthodes entièrement nouvelles ». Microsoft donne l’exemple de systèmes persistants capables de surveiller en permanence les vulnérabilités et de réagir rapidement en cas de violation.”

Source : Sécurité : Microsoft parle désormais de « cybertempête » et confirme la course à l’IA – Next

États-Unis : une vague de désinformation perturbe la réponse aux ouragans Helene et Milton

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“Dans le cas des ouragans Hélène et Milton, la diffusion de désinformation a des effets très réels sur la vie des victimes. À force d’entendre mise en cause la réponse apportée par les autorités, certains sinistrés hésitent à demander de l’aide, notamment financière, à la FEMA, alors qu’ils y ont droit.
Des ONG comme la Croix Rouge Américaine et des personnalités politiques comme les sénateurs Thom Tillis, Chuck Edwards ou Mitt Romney, tous républicains, ont eux aussi alerté sur les risques que faisait peser la désinformation sur l’aide apportée sur le terrain, appelant les internautes à vérifier les éléments qu’ils repartageaient et les auteurs des rumeurs à cesser de les diffuser.
Ces dernières consistent principalement à faire croire que les aides pensées pour les victimes ont été soit reportées, soit limitées, soit dépensées pour des populations migrantes, soit bloquées dans les quartiers républicains. Ironie : en 2019, Donald Trump a lui-même redirigé des millions de dollars prévus pour répondre aux potentielles urgences de ce type vers la création de centres de détention à la frontière des États-Unis.”

Source : États-Unis : une vague de désinformation perturbe la réponse aux ouragans Helene et Milton – Next

The Intelligence Age – Sam Altman

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“Many of the jobs we do today would have looked like trifling wastes of time to people a few hundred years ago, but nobody is looking back at the past, wishing they were a lamplighter. If a lamplighter could see the world today, he would think the prosperity all around him was unimaginable. And if we could fast-forward a hundred years from today, the prosperity all around us would feel just as unimaginable.”

Source : The Intelligence Age

Quand le cabinet de Patrick Hetzel tente de nettoyer sa page Wikipédia

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“Il arrive régulièrement que des cabinets de personnalités politiques trafiquent les pages Wikipédia de leur responsable pour purger les références gênantes, ou que l’encyclopédie en ligne reçoive des menaces d’un service de renseignement. Ou encore qu’une société d’intelligence économique caviarde des dizaines de pages.Le cabinet de Patrick Hetzel a voulu faire de même, révèle notre confrère de l’Express, Victor Garcia. Il a remonté les traces d’un compte utilisateur de Wikipédia nommé Sj87420, créé vendredi 27 septembre (soit trois jours après la nomination de Patrick Hetzel) et ayant immédiatement multiplié les modifications sur la page Wikipédia de Patrick Hetzel.”

Source : Quand le cabinet de Patrick Hetzel tente de nettoyer sa page Wikipédia – Next

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