What are neurorights? Elon Musk and Mark Zuckerberg are building tech to read our minds. Lawyers are trying to protect our mental privacy from Silicon Valley through neurorights.

Une étude de l'UNESCO révèle les biais de genre choquants présents dans les modèles de langage d'IA les plus populaires. Des stéréotypes néfastes qui soulèvent de sérieuses questions éthiques et appellent à une refonte en profondeur du développement de l'IA.

The tasks AI can do well are expanding rapidly

Le brigadier général Yossi Sariel, c'est donc son nom, est le chef dans la tourmente de l'unité 8200, la plus célèbre des unités israéliennes de renseignements.

We find that, simply via a sampling-and-voting method, the performance of large language models (LLMs) scales with the number of agents instantiated. Also, this method is orthogonal to existing complicated methods to further enhance LLMs, while the degree of enhancement is correlated to the task difficulty. We conduct comprehensive experiments on a wide range of LLM benchmarks to verify the presence of our finding, and to study the properties that can facilitate its occurrence. Our code is publicly available at: \url{https://anonymous.4open.science/r/more_agent_is_all_you_need}.

Was the viral ad for deodorant wipes created by HeyGen and Arcads real or a deep fake? Well, it’s complicated, writes tech columnist John Herrman.

A WIRED investigation uncovered coordinates collected by a controversial data broker that reveal sensitive information about visitors to an island once owned by Epstein, the notorious sex offender.

Unsealed court filings reveal Meta's secret plan, "Project Ghostbusters," to acquire valuable intel about Snapchat through its users' devices.

Elon Musk and X postured as defenders against government surveillance but sold user data to Dataminr, which facilitates such surveillance.

Center for Countering Digital Hate has chronicled rise of racist, antisemitic and extremist content on X since Musk’s acquisition

Elon Musk’s X changed its privacy policy this week to ban users from publishing the real names of people behind anonymous accounts after some users appeared to unmask a pseudonymous cartoonist who drew antisemitic images.

They met by chance, got hooked on an idea, and wrote the “Transformers” paper—the most consequential tech breakthrough in recent history.

L'infrastructure à mettre en place diffère grandement selon les cas d'usage. Tour d'horizon des configurations répondant à chacun.

This is our tenth annual landscape and “state of the union” of the data, analytics, machine learning and AI ecosystem.



In 10+ years covering the space, things have never been as exciting and promising as they are today. All trends and subtrends we described over the years are coalescing: data ha

At its peak in the early 2000s, Photobucket was the world's top image-hosting site. The media backbone for once-hot services like Myspace and Friendster, it boasted 70 million users and accounted for nearly half of the U.S. online photo market.

The generative AI payoff may only come when companies do deeper organizational surgery on their business.

Google said it will continue to evaluate its approach “as the world of book publishing evolves.”

How do you get an AI to answer a question it's not supposed to? There are many such "jailbreak" techniques, and Anthropic researchers just found a new

The Microsoft-powered bot says bosses can take worker’s tips and that landlords can discriminate based on source of income. That's not right.

Startup Databricks just released DBRX, the most powerful open source large language model yet—eclipsing Meta's Llama 2.

G.M. had provided information about braking, acceleration and speed to LexisNexis Risk Solution and Verisk, firms that generated driver risk profiles for insurers.

Inexpensive and easy to use, drones are proving invaluable for activists monitoring illegal fishing, hunting and deforestation – as well as keeping tabs on zoos and aquariums

The development and popularization of large language models (LLMs) have raised concerns that they will be used to create tailor-made, convincing arguments to push false or misleading narratives online. Early work has found that language models can generate content perceived as at least on par and often more persuasive than human-written messages. However, there is still limited knowledge about LLMs' persuasive capabilities in direct conversations with human counterparts and how personalization can improve their performance. In this pre-registered study, we analyze the effect of AI-driven persuasion in a controlled, harmless setting. We create a web-based platform where participants engage in short, multiple-round debates with a live opponent. Each participant is randomly assigned to one of four treatment conditions, corresponding to a two-by-two factorial design: (1) Games are either played between two humans or between a human and an LLM; (2) Personalization might or might not be enabled, granting one of the two players access to basic sociodemographic information about their opponent. We found that participants who debated GPT-4 with access to their personal information had 81.7% (p < 0.01; N=820 unique participants) higher odds of increased agreement with their opponents compared to participants who debated humans. Without personalization, GPT-4 still outperforms humans, but the effect is lower and statistically non-significant (p=0.31). Overall, our results suggest that concerns around personalization are meaningful and have important implications for the governance of social media and the design of new online environments.

Researchers and journalists have been blocked on X from sharing the alleged identity of the neo-Nazi cartoonist Stonetoss.