Tag: token

  • Simon Willison’s Weblog: How to Fix Your Context

    Source URL: https://simonwillison.net/2025/Jun/29/how-to-fix-your-context/#atom-everything Source: Simon Willison’s Weblog Title: How to Fix Your Context Feedly Summary: How to Fix Your Context Drew Breunig has been publishing some very detailed notes on context engineering recently. In How Long Contexts Fail he described four common patterns for context rot, which he summarizes like so: Context Poisoning: When a…

  • AWS Open Source Blog: Open Protocols for Agent Interoperability Part 2: Authentication on MCP

    Source URL: https://aws.amazon.com/blogs/opensource/open-protocols-for-agent-interoperability-part-2-authentication-on-mcp/ Source: AWS Open Source Blog Title: Open Protocols for Agent Interoperability Part 2: Authentication on MCP Feedly Summary: In Part 1 of our blog series on Open Protocols for Agent Interoperability we covered how the Model Context Protocol (MCP) can be used to facilitate inter-agent communication and the MCP specification enhancements AWS…

  • Simon Willison’s Weblog: Introducing Gemma 3n: The developer guide

    Source URL: https://simonwillison.net/2025/Jun/26/gemma-3n/ Source: Simon Willison’s Weblog Title: Introducing Gemma 3n: The developer guide Feedly Summary: Introducing Gemma 3n: The developer guide Extremely consequential new open weights model release from Google today: Multimodal by design: Gemma 3n natively supports image, audio, video, and text inputs and text outputs. Optimized for on-device: Engineered with a focus…

  • Cloud Blog: Tools Make an Agent: From Zero to Assistant with ADK

    Source URL: https://cloud.google.com/blog/topics/developers-practitioners/tools-make-an-agent-from-zero-to-assistant-with-adk/ Source: Cloud Blog Title: Tools Make an Agent: From Zero to Assistant with ADK Feedly Summary: Imagine that you’re a project manager at QuantumRoast, a global coffee machine company. You help your teammates navigate a sea of engineering roadmaps, sudden strategy pivots (we’re doing matcha now!), and incoming tickets from customers— everything…

  • Cloud Blog: The secret to document intelligence: Box builds Enhanced Extract Agents using Google’s Agent-2-Agent framework

    Source URL: https://cloud.google.com/blog/topics/customers/box-ai-agents-with-googles-agent-2-agent-protocol/ Source: Cloud Blog Title: The secret to document intelligence: Box builds Enhanced Extract Agents using Google’s Agent-2-Agent framework Feedly Summary: Box is one of the original information sharing and collaboration platforms of the digital era. They’ve helped define how we work, and have continued to evolve those practices alongside successive waves of…

  • Cloud Blog: How to use Gemini 2.5 to fine-tune video outputs on Vertex AI

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-to-fine-tune-video-outputs-using-vertex-ai/ Source: Cloud Blog Title: How to use Gemini 2.5 to fine-tune video outputs on Vertex AI Feedly Summary: Recently, we announced Gemini 2.5 is generally available on Vertex AI. As part of this update, tuning capabilities have extended beyond text outputs – now, you can tune image, audio, and video outputs on…

  • Slashdot: Anthropic Deploys Multiple Claude Agents for ‘Research’ Tool – Says Coding is Less Parallelizable

    Source URL: https://developers.slashdot.org/story/25/06/21/0442227/anthropic-deploys-multiple-claude-agents-for-research-tool—says-coding-is-less-parallelizable Source: Slashdot Title: Anthropic Deploys Multiple Claude Agents for ‘Research’ Tool – Says Coding is Less Parallelizable Feedly Summary: AI Summary and Description: Yes **Summary:** Anthropic has introduced a novel AI feature involving multiple Claude agents working collaboratively for research purposes. This feature allows agents to search across various contexts but raises…

  • Simon Willison’s Weblog: AbsenceBench: Language Models Can’t Tell What’s Missing

    Source URL: https://simonwillison.net/2025/Jun/20/absencebench/#atom-everything Source: Simon Willison’s Weblog Title: AbsenceBench: Language Models Can’t Tell What’s Missing Feedly Summary: AbsenceBench: Language Models Can’t Tell What’s Missing Here’s another interesting result to file under the “jagged frontier" of LLMs, where their strengths and weaknesses are often unintuitive. Long context models have been getting increasingly good at passing "Needle…