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Google AI and Deepmind
The Google for Startups Gemini kit is here Innovate faster
Innovate faster with Gemini Unlock your startup’s potential with access to advanced AI models and tools to build on your platform of choice.
AlphaGenome: AI for better understanding the genome
Introducing Gemma 3n: The developer guide
Gemma 3n represents a major advancement for on-device AI, bringing powerful multimodal capabilities to edge devices with performance previously only seen in last year's cloud-based frontier models.
Google Agent Development Kit
Today, Google announced the Agent Payments Protocol (AP2), an open protocol developed with leading payments and technology companies to securely initiate and transact agent-led payments across platforms. The protocol can be used as an extension of the Agent2Agent (A2A) protocol and Model Context Protocol (MCP). In concert with industry rules and standards, it establishes a payment-agnostic framework for users, merchants, and payments providers to transact with confidence across all types of payment methods.
Chuck Keith aka NetworkChuck has created a great video detailing how to use Docker with MCP and Agents in a really clear easy to follow video. I highly recommend watching his work.
"You need to learn MCP Right Now!! The Model Context Protocol (MCP) changes everything. It gives LLMs like Claude and ChatGPT the ability to use real tools through APIs instead of clunky GUIs. In this video, I’ll break down how MCP works, why it’s so powerful, and how you can run it using Docker containers. I’ll even show you how to build your own custom MCP servers so you can connect AI to literally ANYTHING: Obsidian, Brave, Kali Linux, and more. Grab your coffee. Let’s go."
Copied from Clint Gibler on X
Great primer by @semgrep's Kurt Boberg on testing and securing MCP servers and clients.
Kurt covers:
- The control flow for MCP
- Important terms
- Using MCP Inspector
- Key MCP vulnerability classes (tool poisoning/line jumping, tool shadowing, rug pulling, Web 2.0 issues)
- An overview of security-relevant parts of the MCP specification
And a great, concise cheatsheet of what you should look for as a security engineer for both MCP clients and servers.
https://semgrep.dev/blog/2025/a-security-engineers-guide-to-mcp/
OpenAI Academy Let's unlock AI together
Kaggle Level up with the largest AI & ML community
Hugging Face The AI community building the future. 1,825,339 Models
This was copied from a Twitter post by
Louis Gleeson @aigleeson
OpenAI, Google & Anthropic just dropped their internal AI playbooks for free
• how to build AI agents
• how to scale infra
• how to prompt better than 99% of devs
Get all the guides below with links for free (no login required)
• Prompting 101 – Google’s no-nonsense intro
→ https://services.google.com/fh/files/misc/gemini-for-google-workspace-prompting-guide-101.pdf
• Build Agents That Work – Practical, not theoretical
→ https://cdn.openai.com/business-guides-and-resources/a-practical-guide-to-building-agents.pdf
• Agent Coding Tips – Shortcuts from Anthropic’s engineers
• Finding and Scaling Use Cases – A lens from OpenAI
→ https://cdn.openai.com/business-guides-and-resources/identifying-and-scaling-ai-use-cases.pdf
• Trust in AI – Deploy responsibly, especially in enterprise
→ https://assets.anthropic.com/m/66daaa23018ab0fd/original/Anthropic-enterprise-ebook-digital.pdf
• AI at Scale – OpenAI’s take on enterprise integration
→ https://cdn.openai.com/business-guides-and-resources/ai-in-the-enterprise.pdf
• Agents Companion – Google’s toolkit for advanced builders
→ https://kaggle.com/whitepaper-agent-companion
• Prompt Engineering – More signal, less guesswork
→ https://drive.google.com/file/d/1AbaBYbEa_EbPelsT40-vj64L-2IwUJHy/view
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