Hey, Devs! :) This week, I picked a few updates that matter for developers building with AI: safer agents, better multimodal retrieval, more private on-device assistants, and one new research/policy move from Anthropic. Enjoy reading! ;)
<h3>Introducing The Anthropic Institute</h3>
Anthropic launched The Anthropic Institute, a new effort focused on the big questions around powerful AI: how it may affect jobs, the economy, public values, and governance. The institute brings together Anthropic’s Frontier Red Team, Societal Impacts, and Economic Research groups, and it is led by co-founder Jack Clark in a new role as Head of Public Benefit.
_Read more: _<a href="https://www.anthropic.com/news/the-anthropic-institute" target="_blank" rel="noopener nofollow">https://www.anthropic.com/news/the-anthropic-institute</a>
<h3>OpenJarvis: personal AI on personal devices</h3>
Stanford’s Scaling Intelligence Lab introduced OpenJarvis, an open-source framework for personal AI agents that runs entirely on-device. It focuses on shared building primitives, efficiency-aware evaluation, and a learning loop that improves models using local trace data.
The framework defines five main primitives for on-device AI: Intelligence, Engine, Agents, Tools &amp; Memory, and Learning. If you care about privacy, cost control, and local-first AI assistants, this is a project worth watching.
_Read more: _<a href="https://scalingintelligence.stanford.edu/blogs/openjarvis/" target="_blank" rel="noopener nofollow">https://scalingintelligence.stanford.edu/blogs/openjarvis/</a>
<h3>Gemini Embedding 2</h3>
Google released Gemini Embedding 2, its first natively multimodal embedding model. It can map text, images, video, audio, and documents into a single shared embedding space, making multimodal retrieval and classification much easier. It is available in public preview through the Gemini API and Vertex AI. The model supports over 100 languages, can process PDFs, audio, video, and images, and offers flexible output dimensions from 128 to 3072.
It means developers can build cross-modal search and retrieval systems with a single embedding model rather than stitching together separate pipelines.
_Read more: _<a href="https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-embedding-2/" target="_blank" rel="noopener nofollow">https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-embedding-2/</a>
<h3>Designing AI agents to resist prompt injection</h3>
OpenAI published a new piece on how to design agents that resist prompt injection. Their main point is important: defending agents is not only about detecting bad strings in inputs. Many real attacks now look more like social engineering, so systems should be designed to limit damage even when manipulation gets through.
If you are building agents that browse the web, read email, or take actions on behalf of users, prompt injection is now a product design problem, not just a model problem.
I might use this in my own research about the Validation and Verification of an Agentic AI system.
_Read more: _<a href="https://openai.com/index/designing-agents-to-resist-prompt-injection/" target="_blank" rel="noopener nofollow">https://openai.com/index/designing-agents-to-resist-prompt-injection/</a>
<h3>How to Set Up OpenClaw with Ollama</h3>
I also published a new video: <a href="https://youtu.be/dRXWkHSTJG4" target="_blank" rel="noopener nofollow">How to Set Up OpenClaw with Ollama: The Ultimate Guide</a>.
In this video, I walk through how to connect OpenClaw with Ollama and get a local AI setup running step by step.
Watch here: <a href="https://youtu.be/dRXWkHSTJG4" target="_blank" rel="noopener nofollow">https://youtu.be/dRXWkHSTJG4</a>
See you next week! Cheers, proflead! 😉

Helping devs stay ahead with WebDev, AI & productivity tools.

proflead

A developer-focused AI news roundup covering four key updates: Anthropic's new institute for AI societal research led by Jack Clark; Stanford's OpenJarvis, an open-source on-device personal AI agent framework; Google's Gemini Embedding 2, a natively multimodal embedding model supporting text, images, video, and audio in a single shared space; and OpenAI's guidance on designing AI agents to resist prompt injection attacks, framing it as a product design challenge rather than a model-level problem.

AI News for Developers #17: On-Device AI, Gemini Embedding 2, Anthropic Institute & Agent Security