Tag: autonomous

  • Tomasz Tunguz: Congratulations, Robot. You’ve Been Promoted!

    Source URL: https://www.tomtunguz.com/congratulations-robot-youve-been-promoted/ Source: Tomasz Tunguz Title: Congratulations, Robot. You’ve Been Promoted! Feedly Summary: Watching the OpenAI Dev Day videos, I listened as Thibault, engineering lead for Codex, announced “Codex is now a senior engineer.” AI entered the organization as an intern – uncertain & inexperienced. Over the summer, engineering leaders said treat it like…

  • Tomasz Tunguz: OpenAI Calls Codex a Senior Engineer

    Source URL: https://www.tomtunguz.com/openai-calls-codex-a-senior-engineer/ Source: Tomasz Tunguz Title: OpenAI Calls Codex a Senior Engineer Feedly Summary: For two years, Silicon Valley repeated the same mantra : AI agents are junior engineers. They need supervision. They handle routine tasks but struggle with complex problems. Then Thibault, OpenAI’s Codex team lead, delivered a line that broke the pattern…

  • Cloud Blog: Introducing Gemini Enterprise

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/introducing-gemini-enterprise/ Source: Cloud Blog Title: Introducing Gemini Enterprise Feedly Summary: (Editor’s note: This is a shortened version of remarks delivered by Thomas Kurian announcing Gemini Enterprise at an event today)AI is presenting a once-in-a-generation opportunity to transform how you work, how you run your business, and what you build for your customers. But…

  • Cloud Blog: Want to get building production-ready AI agents? Here’s where startups should start.

    Source URL: https://cloud.google.com/blog/topics/startups/startup-guide-ai-agents-production-ready-ai-how-to/ Source: Cloud Blog Title: Want to get building production-ready AI agents? Here’s where startups should start. Feedly Summary: Startups are using agentic AI to automate complex workflows, create novel user experiences, and solve business problems that were once considered technically impossible. Still, charting the optimal path forward — especially with the integration…

  • Slashdot: ChatGPT Now Has 800 Million Weekly Active Users

    Source URL: https://slashdot.org/story/25/10/06/1848254/chatgpt-now-has-800-million-weekly-active-users?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: ChatGPT Now Has 800 Million Weekly Active Users Feedly Summary: AI Summary and Description: Yes Summary: OpenAI’s CEO, Sam Altman, announced that ChatGPT has reached 800 million weekly active users, indicating significant adoption across various sectors, including consumers and enterprises. This growth underscores the rising demand for AI infrastructure…

  • Scott Logic: Delegating the Grunt Work: AI Agents for UI Test Development

    Source URL: https://blog.scottlogic.com/2025/10/06/delegating-grunt-work.html Source: Scott Logic Title: Delegating the Grunt Work: AI Agents for UI Test Development Feedly Summary: UI automation testing is valuable but time-consuming, with on-going maintenance resulting from fragile selectors, asynchronous behaviors, and complex test paths. This blog post explores whether we can release ourselves from this burden by delegating it to…

  • Microsoft Security Blog: Microsoft named a Leader in the IDC MarketScape for XDR

    Source URL: https://www.microsoft.com/en-us/security/blog/2025/10/02/microsoft-named-a-leader-in-the-idc-marketscape-for-xdr/ Source: Microsoft Security Blog Title: Microsoft named a Leader in the IDC MarketScape for XDR Feedly Summary: Microsoft has been named a Leader in IDC’s inaugural category for Worldwide Extended Detection and Response (XDR) Software for 2025, recognized for its deep integration, intelligent automation, and unified security operations solutions. The post Microsoft…

  • Docker: From Shell Scripts to Science Agents: How AI Agents Are Transforming Research Workflows

    Source URL: https://www.docker.com/blog/ai-science-agents-research-workflows/ Source: Docker Title: From Shell Scripts to Science Agents: How AI Agents Are Transforming Research Workflows Feedly Summary: It’s 2 AM in a lab somewhere. A researcher has three terminals open, a half-written Jupyter notebook on one screen, an Excel sheet filled with sample IDs on another, and a half-eaten snack next…