AI agents and agentic AI news. Autonomous agents, agent frameworks, tool-using AI systems, and multi-agent developments.
Human-written code died in 2025. Code reviews will die in 2026.
What might a superintelligence arcology be like?
We’re excited to announce our new show In-Context Cooking where guests cook while chatting about cool topics.
Innovation in artificial intelligence applications, including the rising tide of AI agents, is based on startups accessing AI foundation models offered by Anthropic, OpenAI, and Google. Each of these companies also competes with those startups, creating conflicts of interest. A new report by Vanderbilt Policy Accelerator director of artificial intelligence and technology policy Asad Ramzanali and Akhil Rajan analyzes the foundational model market, highlights a case study of a startup that experienced unfair treatment from a foundation model provider, and recommends a requirement for AI neutrality similar to net neutrality rules in broadband.
The first Gemini 3.1 model is here....
In this post, we explore reinforcement fine-tuning (RFT) for Amazon Nova models, which can be a powerful customization technique that learns through evaluation rather than imitation. We'll cover how RFT works, when to use it versus supervised fine-tuning, real-world applications from code generation to customer service, and implementation options ranging from fully managed Amazon Bedrock to multi-turn agentic workflows with Nova Forge. You'll also learn practical guidance on data preparation, reward function design, and best practices for achieving optimal results.
Read AI is launching Ada, which can reply with your availability and extract answers from the company knowledge base and the web.
Read AI is launching Ada, which can reply with your availability and extract answers from the company knowledge base and the web.
Trace is launching with $3 million in seed funding, including investment from Y Combinator, Zeno Ventures, Transpose Platform Management, Goodwater Capital, Formosa Capital, and WeFunder.
OpenAI and Pacific Northwest National Laboratory introduce DraftNEPABench, a new benchmark evaluating how AI coding agents can accelerate federal permitting—showing potential to reduce NEPA drafting time by up to 15% and modernize infrastructure reviews.
A quiet day lets us express a growing, uneasy feeling that coding has changed forever — much much more than “normal” hype.
Seattle-based Vercept developed complex agentic tools, including a computer-use agent that could complete tasks inside applications like a person with a laptop would.
The Care Bears taught a generation of kids that sharing is caring, but not everyone has carried this principle into adulthood. Researchers at Michigan State University have found a new angle to promote cooperation: artificial intelligence (AI). The results of this study, titled Promoting cooperation in the public goods game using artificial intelligent agents, are published in npj Complexity.
This post demonstrates how to quickly deploy a production-ready event assistant using the components of Amazon Bedrock AgentCore. We'll build an intelligent companion that remembers attendee preferences and builds personalized experiences over time, while Amazon Bedrock AgentCore handles the heavy lifting of production deployment:nbsp;Amazon Bedrock AgentCore Memory for maintaining both conversation context and long-term preferences without custom storage solutions,nbsp;Amazon Bedrock AgentCore Identitynbsp;for secure multi-IDP authentication, andnbsp;Amazon Bedrock AgentCore Runtimenbsp;for serverless scaling and session isolation. We will also use Amazon Bedrock Knowledge Bases for managed RAG and event data retrieval.
Gemini 3.1 Pro Preview Custom Tools is a variant of Gemini 3.1 Pro that improves tool selection behavior by preventing overuse of a general bash tool when more efficient third-party or user-defined functions are available. This specialized preview endpoint significantly increases function calling reliability and ensures the model selects the most appropriate tool in coding agents and complex, multi-tool workflows. It retains the core strengths of Gemini 3.1 Pro, including multimodal reasoning across text, image, video, audio, and code, a 1M-token context window, and strong software engineering performance.
img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/1920x1080_nq6jy78.max-600x600.format-webp.webp"Launching soon for Pixel 10 and Samsung Galaxy S26 Series, you can offload multi-step tasks to Gemini.
Gemini on Android will be able to automate tasks involving rideshare requests, or grocery or food delivery, says Google.
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