Tag: integration challenges

  • Simon Willison’s Weblog: GPT-5 pro

    Source URL: https://simonwillison.net/2025/Oct/6/gpt-5-pro/ Source: Simon Willison’s Weblog Title: GPT-5 pro Feedly Summary: GPT-5 pro Here’s OpenAI’s model documentation for their GPT-5 pro model, released to their API today at their DevDay event. It has similar base characteristics to GPT-5: both share a September 30, 2024 knowledge cutoff and 400,000 context limit. GPT-5 pro has maximum…

  • Anchore: Anchore is Excited to Announce it’s Inclusion in the IBM PDE Factory: An Open Source-Powered Secure Software Development Platform

    Source URL: https://anchore.com/blog/anchore-is-excited-to-announce-its-inclusion-in-the-ibm-pde-factory-an-open-source-powered-secure-software-development-platform/ Source: Anchore Title: Anchore is Excited to Announce it’s Inclusion in the IBM PDE Factory: An Open Source-Powered Secure Software Development Platform Feedly Summary: Powered by Anchore’s Syft & Grype, IBM’s Platform Development Environment Factory delivers DevSecOps-as-a-Service for federal agencies seeking operational readiness without the integration nightmare. Federal agencies are navigating a…

  • 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…

  • Cloud Blog: Is your database holding you back? Boosting database efficiency and ROI with Cloud SQL

    Source URL: https://cloud.google.com/blog/products/databases/how-cloud-sql-boosts-performance-and-cuts-costs-per-idc/ Source: Cloud Blog Title: Is your database holding you back? Boosting database efficiency and ROI with Cloud SQL Feedly Summary: Editor’s Note: Today, we’re sharing insights from IDC Research Director, Devin Pratt, as he offers his analysis of recent research on Cloud SQL. In this post, you’ll see how Cloud SQL’s highly…

  • Scott Logic: Bridging the AI Valley of Doubt

    Source URL: https://blog.scottlogic.com/2025/05/23/bridging-the-AI-valley-of-doubt.html Source: Scott Logic Title: Bridging the AI Valley of Doubt Feedly Summary: Despite the UK being the world’s third-largest AI industry, only 1 in 6 UK firms are actively using AI due to financial, skills, and risk concerns, but businesses can bridge this “valley of doubt" by adopting measured "AI in the…

  • CSA: MCP: The Protocol Revolutionizing AI Integration

    Source URL: https://www.enkryptai.com/blog/mcp-the-protocol-thats-quietly-revolutionizing-ai-integration Source: CSA Title: MCP: The Protocol Revolutionizing AI Integration Feedly Summary: AI Summary and Description: Yes **Summary:** The text introduces the Model Context Protocol (MCP), an open-standard framework designed to simplify the integration between large language models (LLMs) and various software tools. This innovation addresses the challenge developers face with one-off integrations,…

  • SDx Central: IBM Security, McAfee Spearhead Open Cybersecurity Alliance

    Source URL: https://www.sdxcentral.com/news/ibm-security-mcafee-spearhead-open-cybersecurity-alliance/ Source: SDx Central Title: IBM Security, McAfee Spearhead Open Cybersecurity Alliance Feedly Summary: IBM Security, McAfee Spearhead Open Cybersecurity Alliance AI Summary and Description: Yes Summary: The establishment of the Open Cybersecurity Alliance marks a significant step towards achieving interoperability in security technologies through open source initiatives. This collaboration brings together multiple…

  • The Register: Everything you need to get up and running with MCP – Anthropic’s USB-C for AI

    Source URL: https://www.theregister.com/2025/04/21/mcp_guide/ Source: The Register Title: Everything you need to get up and running with MCP – Anthropic’s USB-C for AI Feedly Summary: Wrangling your data into LLMs just got easier, though it’s not all sunshine and rainbows Hands On Getting large language models to actually do something useful usually means wiring them up…