Tag: tools

  • Enterprise AI Trends: ChatGPT Agent Mode, and "Vibe Automations"

    Source URL: https://nextword.substack.com/p/chatgpt-agent-mode-and-vibe-automations Source: Enterprise AI Trends Title: ChatGPT Agent Mode, and "Vibe Automations" Feedly Summary: OpenAI will eat AI automations AI Summary and Description: Yes Summary: The text discusses the release of OpenAI’s new Agent Mode feature in ChatGPT, which allows users to create virtual agents capable of performing complex, multi-step tasks autonomously. This…

  • Microsoft Security Blog: Microsoft at Black Hat USA 2025: A unified approach to modern cyber defense

    Source URL: https://techcommunity.microsoft.com/blog/microsoft-security-blog/%E2%80%8B%E2%80%8Bmicrosoft-at-black-hat-usa-2025-a-unified-approach-to-modern-cyber-defense%E2%80%8B%E2%80%8B/4434292 Source: Microsoft Security Blog Title: Microsoft at Black Hat USA 2025: A unified approach to modern cyber defense Feedly Summary: Microsoft will spotlight its AI-first, end-to-end security platform at Black Hat USA 2025. Read our blog post for details on how to connect with us there and what to expect from our…

  • Cloud Blog: Announcing a new monitoring library to optimize TPU performance

    Source URL: https://cloud.google.com/blog/products/compute/new-monitoring-library-to-optimize-google-cloud-tpu-resources/ Source: Cloud Blog Title: Announcing a new monitoring library to optimize TPU performance Feedly Summary: For more than a decade, TPUs have powered Google’s most demanding AI training and serving workloads. And there is strong demand from customers for Cloud TPUs as well. When running advanced AI workloads, you need to be…

  • Cloud Blog: Application monitoring in Google Cloud: Bridging manual and AI-assisted troubleshooting

    Source URL: https://cloud.google.com/blog/products/management-tools/get-to-know-cloud-observability-application-monitoring/ Source: Cloud Blog Title: Application monitoring in Google Cloud: Bridging manual and AI-assisted troubleshooting Feedly Summary: As developers and operators, you know that having access to the right information in the proper context is crucial for effective troubleshooting. This is why organizations invest a lot upfront curating monitoring resources across different business…

  • Cloud Blog: How to enable Secure Boot for your AI workloads

    Source URL: https://cloud.google.com/blog/products/identity-security/how-to-enable-secure-boot-for-your-ai-workloads/ Source: Cloud Blog Title: How to enable Secure Boot for your AI workloads Feedly Summary: As organizations race to deploy powerful GPU-accelerated workloads, they might overlook a foundational step: ensuring the integrity of the system from the very moment it turns on.  Threat actors, however, have not overlooked this. They increasingly target…

  • Simon Willison’s Weblog: How to run an LLM on your laptop

    Source URL: https://simonwillison.net/2025/Jul/18/how-to-run-an-llm-on-your-laptop/ Source: Simon Willison’s Weblog Title: How to run an LLM on your laptop Feedly Summary: How to run an LLM on your laptop I talked to Grace Huckins for this piece from MIT Technology Review on running local models. Apparently she enjoyed my dystopian backup plan! Simon Willison has a plan for…

  • OpenAI : Invideo AI uses OpenAI models to create videos 10x faster

    Source URL: https://openai.com/index/invideo-ai Source: OpenAI Title: Invideo AI uses OpenAI models to create videos 10x faster Feedly Summary: Invideo AI uses OpenAI’s GPT-4.1, gpt-image-1, and text-to-speech models to transform creative ideas into professional videos in minutes. AI Summary and Description: Yes Summary: The text discusses the capabilities of InVideo AI, which leverages OpenAI’s advanced language…

  • Tomasz Tunguz: Hidden Technical Debt in AI

    Source URL: https://www.tomtunguz.com/hidden-technical-debt-in-ai/ Source: Tomasz Tunguz Title: Hidden Technical Debt in AI Feedly Summary: That little black box in the middle is machine learning code. I remember reading Google’s 2015 Hidden Technical Debt in ML paper & thinking how little of a machine learning application was actual machine learning. The vast majority was infrastructure, data…