Meta donne un gros coup d’IA à Facebook… en exploitant les publications publiques
Meta integrates AI into Facebook through a new search mode leveraging public posts. The platform promises faster responses to user queries.
Meta AI is the conversational assistant developed by Meta, integrated into WhatsApp, Instagram, and Messenger. It is powered by Llama models and can answer questions, generate text, or create images directly within Meta's apps.
Meta integrates AI into Facebook through a new search mode leveraging public posts. The platform promises faster responses to user queries.
Meta reassigns 7,000 employees following May restructuring (10% workforce cuts). Zuckerberg acknowledges mistakes in AI workforce shift and seeks new roles for employees assigned to model training.
Meta faces internal AI costs reaching billions of dollars. Starting 2027, a token governance system via "AI Gateway" dashboard will limit consumption. CTO Andrew Bosworth criticizes "tokenmaxxing": token usage alone does not measure real impact.
EU orders Meta to allow rival AI chatbots free access to WhatsApp. The decision enforces the Digital Markets Act to reduce anticompetitive practices by large tech platforms.
Meta AI's news feed generates problematic content: false dramas, clickbait, and misleading posts. Users are confused about the assistant's actual nature and reliability.
Meta is developing Hatch, a paid AI agent priced up to $200/month. The tool executes tasks (building tools, scheduling, sending emails) from natural language descriptions. Meta's first paid AI product, designed to diversify revenue beyond advertising.
Wired uncovers hidden facial recognition code in Meta's AI application. The code was not publicly documented, raising questions about Meta's transparency regarding its vision capabilities and data collection practices.
Meta launches Business Agent, an AI agent to automate sales and customer support on its platforms. The tool processes over one billion daily conversations between businesses and consumers.
Meta adjusts its MCI (Model Capability Initiative) following internal employee criticism. The company strengthens protections regarding employee gesture tracking used to train its AI models.
Cybercriminals exploited a vulnerability in Meta AI's chatbot to gain access to celebrity Instagram accounts. Meta patched the flaw after the incident was discovered.
Hackers exploited Meta's AI support chatbot to gain access to high-profile Instagram accounts. By simply asking the bot to link a new email address to a target account, they bypassed the entire account recovery process. Meta had wired its support system to an AI capable of executing account changes in a single request.
Hackers exploited Meta AI to gain access to Instagram accounts. The vulnerability allowed bypassing Meta's AI security protections.
Meta is developing AI wearables: an AI pendant and enterprise "supersensing" glasses. After billions invested in AI with limited commercial returns, its open-source strategy has underperformed. Meta is pivoting to hardware.
Meta rolls out paid add-ons for Instagram, Facebook, and WhatsApp globally while building a separate paid AI offering. Zuckerberg finally monetizes massive AI spending.
Meta launches Forum, a community discussion app competing with Reddit, featuring AI-generated responses to reinvigorate Facebook groups.
Meta releases code and checkpoints for SAM 3 (Segment Anything Model 3). Repository includes inference, fine-tuning, and example notebooks for image segmentation.
Heretic Free Software Project received a legal notice from Meta regarding Llama model derivatives. The project removed model weights from controlled repositories and is diversifying infrastructure with mirrors on Codeberg and other platforms to preserve access independently of service providers.
Meta releases Llama 4 Maverick and Scout on Hugging Face. Maverick is a high-performance model for complex tasks, Scout a lightweight model optimized for efficiency. Both are available on the Hugging Face platform.
Meta releases Llama 3.1 in three sizes (405B, 70B, 8B) with multilingual support and extended context. Models support 128k tokens and cover 8 languages. Available open-source via Hugging Face.
Meta releases CyberSecEval 2, a comprehensive evaluation framework measuring cybersecurity risks and capabilities of LLMs. The tool tests malicious code generation, vulnerability exploitation, and attack defense across models including Llama.
Meta releases Llama 3, a new open-source large language model. The model comes in multiple sizes and shows competitive performance on standard benchmarks.
Meta releases Code Llama, a Llama 2 variant specialized in code generation. The model supports multiple programming languages and delivers performance comparable to existing code generation tools for completion and generation tasks.
Hugging Face enables streamlined MusicGen deployment through Inference Endpoints. Users can generate music without infrastructure management, with Meta model support and direct API integration.
Meta releases Llama 2, an open-source language model available on Hugging Face. The model comes in multiple sizes and can be used freely for research and commercial applications.
Hugging Face integrates fastText into its Hub. Meta's open-source platform for text embedding and classification is now accessible through the Hugging Face ecosystem, enabling easier sharing and deployment of fastText models.