Bing rolls out AI Citation Share; fresh data show LLMs.txt files go mostly unread; Google backs two agent specs; and the UK orders fairer Search ranking. Welcome to Pulse: this week’s updates touch ...

Local LLMs give you more control ...

Medical large language models (LLMs) are increasingly being used in clinical settings. For example, AI is helping doctors in ...

Shanku Niyogi of Databricks walks through the architecture behind Lakebase, LTAP and Lakehouse//RT – and renames an industry ...

The rapid uptake of agentic AI has exposed a range of issues with our non-deterministic helpers. That’s mainly because AI agents are not people and don’t behave like people, even though they generally ...

Most developers assume serious AI infrastructure requires a corporate budget. The AMD Developer Program changes that math. With $100 in free GPU credits, an open ...

The Google ADK is a capable and mostly complete framework for developing agents, with support for multiple agent types, multi-agent architectures, and multiple programming languages. The Google Agent ...

The open-source project maps directly to OWASP’s top 10 agentic AI threats, aiming to curb issues like prompt injection, rogue agents, and tool misuse at runtime. Microsoft has quietly introduced the ...

LiteLLM, a massively popular Python library used by AI developers, was compromised to deliver a mass credential harvesting malware, sending shockwaves across the industry. The “software horror” spread ...

This repository provides a Slack bot backend implemented in Python that uses Slack Bolt and Google Cloud's Gemini Enterprise Agent Platform (formerly Vertex AI) Gemini model via the Agent Development ...

With Open Responses, OpenAI has introduced an open-source standard for a vendor-independent LLM API and has brought renowned partners on board. Open Responses, an open-source standard for a ...