254 articles
A new report from Citrini Research explores a future where AI's success, not its failure, could trigger a global economic crisis by 2028. The scenario details how rapid advancements in AI, particularly in coding and automation, could disrupt major industries, displace white-collar workers, and strain the financial system.
Anthropic's Boris Cherny emphasizes that safety and privacy are foundational to their mission of building safe AGI, even influencing the design of their developer tool, Claude Code, by restricting engineer access to user data.
Open Claw introduces a revolutionary 'AI agent-first' approach to automation, where AI agents autonomously create and manage workflows based on natural language commands. This paradigm shift eliminates the need for users to build complex automations, promising increased productivity and accessibility.
SpaceX's ambitious plans for orbital AI data centers raise profound questions about economic sustainability and the future of humanity. This article explores the potential benefits, immense challenges, and critical risks associated with this futuristic endeavor.
The term 'AI agent' is often misused, but it refers to an LLM capable of using external tools. This distinction is crucial for understanding the next wave of AI capabilities beyond simple text generation.
OpenAI is reportedly developing a family of AI-powered hardware devices, including a smart speaker and smart glasses, aiming to integrate AI more deeply into daily life. These ambitious plans face significant market, privacy, and technical challenges.
A financial commentator discussed market volatility, the impact of AI and crypto, and career paths in finance during a birthday Q&A. Insights were shared on passive investing, the role of technology, and historical perspectives on money.
A tech YouTube channel put AI to the test, letting it spend their money on mystery gadgets. The results ranged from an AI pet and Apple Vision Pro to a fart machine and an electric salt substitute, offering a humorous look at AI's purchasing power.
Researchers have developed an AI-powered simulation that models the Milky Way's 100 billion stars 113 times faster than previous methods. This breakthrough dramatically accelerates galactic simulations by using neural networks to predict supernova impacts, reducing a 36-year run time to just 115 days.
Google's Gemini 3 DeepThink model has demonstrated unprecedented reasoning capabilities, setting new benchmarks in complex problem-solving and scientific research. The advancements suggest a rapid acceleration in AI's potential, moving beyond task assistance to autonomous research.
