Apple employs AI to generate tags for apps on the App Store, enhancing discoverability, with human oversight ensuring accuracy, allowing developers to manage and deselect tags through App Store Connect.
Mistral AI introduces Magistral, an open-source and enterprise-grade reasoning model designed to tackle intricate professional tasks, offering transparent reasoning capabilities for diverse applications.
Mistral unveils Magistral, a new AI language model family, including the 24-billion parameter open-source Magistral Small and the proprietary Magistral Medium for enterprises, promising enhanced reasoning capabilities.
Apple faces mounting pressure to unveil advancements in its AI assistant Siri and provide developers with robust AI tools at its upcoming Worldwide Developers Conference in 2025, as it races to catch up in the rapidly evolving artificial intelligence landscape.
IBM fortifies AI prowess by acquiring natural language data querying startup Seek AI and unveiling $500M Watsonx AI Labs in NYC to co-develop enterprise-ready AI solutions for cybersecurity, customer service, and open-source frameworks.
OpenAI's revolutionary ChatGPT has ignited a frenzy, propelling the AI powerhouse to an astonishing $10 billion in annual recurring revenue, with ambitious plans to reach a staggering $125 billion by 2029, showcasing investors' confidence in its disruptive potential.
Apple introduces Foundation Models framework, empowering developers to harness on-device AI models created by Apple, enabling offline AI-driven experiences with features like guided generation and tool calling, natively supported by Swift and accessible with minimal coding.
Acknowledging its delayed AI advancements, Apple grants developers access to its on-device large language model, enabling AI integration in apps, yet still trails OpenAI and Google's AI capabilities despite OS updates leveraging its AI technology.
X, recently acquired by Elon Musk's AI company xAI, has updated its developer agreement to prohibit using X's content and API to train large language models, restricting competitors' access to its data for AI training purposes.
Cybersecurity researchers have discovered a new AI jailbreak technique called 'Bad Likert Judge' that can boost the success rates of malicious prompts bypassing large language models' safety guardrails by over 60%, enabling the generation of potentially harmful or illegal content.