In a clash of AI strategies at Meta, Zuckerberg launches Meta Superintelligence Labs to aggressively pursue superintelligence development, contrasting with Chief AI Scientist LeCun's cautious, open-source approach focused on 'world models' and animal-level intelligence.
A new wave of Services-as-Software companies deploys AI-powered agents to automate human tasks, with engineers customizing systems for unique workflows and value-based pricing models.
Sakana AI unveils 'AI Dream Team' technique enabling multiple large language models to cooperate, combine strengths, and solve complex problems through trial-and-error, releasing open-source TreeQuest framework for robust enterprise AI systems.
Mark Cuban, a billionaire investor, predicts that the world's first trillionaire will emerge by leveraging artificial intelligence (AI) in a groundbreaking manner, harnessing its potential to generate unprecedented wealth and advises people to familiarize themselves with AI tools like ChatGPT to stay ahead.
A groundbreaking AI system employs large language models to intelligently handle data preparation tasks, dynamically learn from experience, and outperform traditional methods in generating accurate responses, showcasing its potential for revolutionizing data processing and decision-making.
Google unveils Gemini CLI, a new coding agent that trails Claude Code from Anthropic in speed, cost, token efficiency, and user experience, despite delivering decent code quality.
A massive underpaid global workforce labors behind the scenes to create and maintain AI systems, performing essential but mentally taxing tasks like content moderation and data labeling with inadequate job protections and compensation.
OpenAI disavows Robinhood's tokenized shares offering, emphasizing no equity transfer was approved and urging caution as Robinhood launches tokenized shares of OpenAI and SpaceX for European users.
While ChatGPT drives referral traffic to news sites, overall organic visits plummet, prompting publishers to explore paywalls and new revenue streams as AI disrupts their industry.
Groundbreaking AI applications are projected to reduce global emissions by billions of tonnes annually by 2035 through optimizing power generation, meat production, passenger vehicles, and accelerating green technology discovery while guiding sustainable choices and enhancing climate preparedness, necessitating proactive government guidance to ensure equitable benefits.