Étiquette : deep learning (Page 2 of 12)

OpenAI Nears Launch of AI Agents to Automate Tasks For Users

14 novembre 2024 /

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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

13 novembre 2024 /

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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

12 novembre 2024 /

“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

Evaluating fairness in ChatGPT

19 octobre 2024 /

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

Sutskever strikes AI gold with billion-dollar backing for superintelligent AI

5 septembre 2024 /

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“Sutskever’s departure from OpenAI followed a rough period at the company that reportedly included disenchantment that OpenAI management did not devote proper resources to his « superalignment » research team and then Sutskever’s involvement in the brief ouster of OpenAI CEO Sam Altman last November. After leaving OpenAI in May, Sutskever said his new company would « pursue safe superintelligence in a straight shot, with one focus, one goal, and one product. »Superintelligence, as we’ve noted previously, is a nebulous term for a hypothetical technology that would far surpass human intelligence. There is no guarantee that Sutskever will succeed in his mission (and skeptics abound), but the star power he gained from his academic bona fides and being a key cofounder of OpenAI has made rapid fundraising for his new company relatively easy.”

Source : Sutskever strikes AI gold with billion-dollar backing for superintelligent AI | Ars Technica

Apprendre à désapprendre : le nouveau défi de l’intelligence artificielle

5 septembre 2024 /

“La question posée lorsque l’on cherche à faire du désapprentissage est encore plus difficile : comment chacun des neurones du réseau aurait-il été impacté si on n’avait jamais traité l’image de chat n° 45872 ? Il ne s’agit pas alors d’altérer la capacité du réseau à reconnaître les chats – cette image peut très bien apporter peu d’informations – ni de supprimer l’image de la base de données puisque ce qu’en a appris le réseau est stocké, comme pour un cerveau humain, dans les poids liant les neurones. Il faut alors tâcher d’identifier les connexions neuronales (poids) qui ont le plus appris de cette image en particulier, et modifier leur intensité dans le but de détruire l’information associée à la donnée dont on veut simuler l’oubli.”

Source : Apprendre à désapprendre : le nouveau défi de l’intelligence artificielle

Releasing Re-LAION 5B: transparent iteration on LAION-5B with additional safety fixes

5 septembre 2024 /

“Re-LAION-5B fixes the issues as reported by Stanford Internet Observatory in December 2023 for the original LAION-5B and is available for download in two versions, Re-LAION-5B research and Re-LAION-5B research-safe. The work was completed in partnership with the Internet Watch Foundation (IWF), the Canadian Center for Child Protection (C3P), and Stanford Internet Observatory. For the work, we utilized lists of link and image hashes provided by our partners, as of July 2024. In all, 2236 links were removed after matching with the lists of link and image hashes provided by our partners. These links also subsume 1008 links found by the Stanford Internet Observatory report in Dec 2023. Note: A substantial fraction of these links known to IWF and C3P are most likely dead (as organizations make continual efforts to take the known material down from public web), therefore this number is an upper bound for links leading to potential CSAM. Total number of text-link to images pairs in Re-LAION-5B: 5.5 B (5,526,641,167)”

Source : Releasing Re-LAION 5B: transparent iteration on LAION-5B with additional safety fixes | LAION

L’IA générative, une bulle ? Goldman Sachs met les pieds dans le plat

3 septembre 2024 /

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“Si les autres analystes de Goldman Sachs restent optimistes sur la capacité de l’IA à générer des retours sur investissements une fois trouvées ses applications les plus efficaces (« killer app »), Daron Acemoglu invite de son côté à ne pas analyser les coûts de la technologie d’un seul point de vue financier : « Le PIB n’est pas tout. » Sans se déclarer spécifiquement inquiets par la profusion de deepfakes, l’économiste rappelle que les IA génératives alimentent la désinformation, de même qu’elles peuvent être utilisées de manière malveillante. Or « un investissement de mille milliards de dollars dans les deepfakes ajouterait mille milliards de dollars au PIB, mais je ne pense pas que la plupart des gens s’en réjouiraient ni n’en bénéficieraient ».”

Source : L’IA générative, une bulle ? Goldman Sachs met les pieds dans le plat – Next

IA générative : quels modèles sont vraiment ouverts

11 juin 2024 /

“Dans l’IA générative comme dans d’autres domaines du numérique, le mot « open » peut attirer avec ses promesses de transparence, de traçabilité, de sécurité ou de réutilisation possible. S’il est beaucoup utilisé de façon marketing, le nouvel AI Act européen prévoit des exemptions pour les modèles « ouverts ». Des chercheurs néerlandais ont classé 40 modèles de génération de textes et six modèles de génération d’images se prétendant « open » par degré d’ouverture réelle.”

Source : IA générative : quels modèles sont vraiment ouverts – Next

OpenAI’s News Corp deal licenses content from WSJ, New York Post, and more

23 mai 2024 /

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“OpenAI has struck a deal with News Corp, the media company that owns The Wall Street Journal, the New York Post, The Daily Telegraph, and others. As reported by The Wall Street Journal, OpenAI’s deal with News Corp could be worth over $250 million in the next five years “in the form of cash and credits for use of OpenAI technology.””

Source : OpenAI’s News Corp deal licenses content from WSJ, New York Post, and more – The Verge

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