Category: AI & Automation


  • Windsurf: OpenAI’s potential $3B bet to drive the ‘vibe coding’ movement

    Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More ‘Vibe coding’ is a term of the moment, as it refers to a more accepted use of AI and natural language prompts for basic code completion.  OpenAI is reportedly looking to get in on the movement…

  • BigQuery is 5x bigger than Snowflake and Databricks: What Google is doing to make it even better

    Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Google Cloud announced a significant number of new features at its Google Cloud Next event last week, with at least 229 new announcements. Buried in that mountain of news, which included new AI chips and agentic AI capabilities, as well…

  • Spexi unveils LayerDrone decentralized network for crowdsourcing high-res drone images of Earth

    Spexi Geospatial is launching the LayerDrone Foundation and its decentralized network aimed at encouraging a community of amateur drone pilots to capture ultra-high resolution Earth imagery. Launched a year ago, Spexi said its reward-driven pilots have captured over 10 million images across 2.3 million acres of Earth, and now it’s going to further incentivize them…

  • VoicePatrol unveils real-time AI voice protection for games

    VoicePatrol is unveiling its real-time AI voice protection technology for game studios to make gaming communities safer. The company said it has a straightforward, effective approach to real-time voice protection. Partnering with studios like Trass Games, creators of Yeeps: Hide & Seek, VoicePatrol was created to make gaming communities safer without the corporate jargon, the…

  • Swapping LLMs isn’t plug-and-play: Inside the hidden cost of model migration

    Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Swapping large language models (LLMs) is supposed to be easy, isn’t it? After all, if they all speak “natural language,” switching from GPT-4o to Claude or Gemini should be as simple as changing an API key……

  • Swapping LLMs isn’t plug-and-play: Inside the hidden cost of model migration

    Swapping large language models (LLMs) is supposed to be easy, isn’t it? After all, if they all speak “natural language,” switching from GPT-4o to Claude or Gemini should be as simple as changing an API key… right? In reality, each model interprets and responds to prompts differently, making the transition anything but seamless. Enterprise teams…

  • OpenAI launches o3 and o4-mini, AI models that ‘think with images’ and use tools autonomously

    Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI launched two groundbreaking AI models today that can reason with images and use tools independently, representing what experts call a step change in artificial intelligence capabilities. The San Francisco-based company introduced o3 and o4-mini, the…

  • How to Become an Uber Eats Driver

    Key Takeaways Flexibility and Independence: As an Uber Eats driver, you have the freedom to set your own hours and choose your delivery routes, allowing for a work-life balance that suits your personal schedule. Navigating the App: Familiarity with the Uber Eats app is essential for managing deliveries, tracking earnings, and maintaining effective communication with…

  • Sam Altman at TED 2025: Inside the most uncomfortable — and important — AI interview of the year

    Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI CEO Sam Altman revealed that his company has grown to 800 million weekly active users and is experiencing “unbelievable” growth rates, during a sometimes tense interview at the TED 2025 conference in Vancouver last week.…

  • When AI reasoning goes wrong: Microsoft Research shows more tokens can mean more problems

    Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Large language models (LLMs) are increasingly capable of complex reasoning through “inference-time scaling,” a set of techniques that allocate more computational resources during inference to generate answers. However, a new study from Microsoft Research reveals that…