AI agents and agentic AI news. Autonomous agents, agent frameworks, tool-using AI systems, and multi-agent developments.
Inside Boltz, AlphaFold’s Legacy, and the Tools Powering Next-Gen Molecular Discovery
AI agents are a risky business. Even when stuck inside the chatbox window, LLMs will make mistakes and behave badly. Once they have tools that they can use to interact with the outside world, such as web browsers and email addresses, the consequences of those mistakes become far more serious. That might explain why the…
Today we’re excited to announce that the NVIDIA Nemotron 3 Nano 30B model with nbsp;3B active parameters is now generally available in the Amazon SageMaker JumpStart model catalog. You can accelerate innovation and deliver tangible business value with Nemotron 3 Nano on Amazon Web Services (AWS) without having to manage model deployment complexities. You can power your generative AI applications with Nemotron capabilities using the managed deployment capabilities offered by SageMaker JumpStart.
Amanda Silver is a corporate vice president at Microsoft’s CoreAI division, where she works on tools for deploying apps and agentic systems within enterprises.
WHAT IT IS The rise of agentic software development means code is being written, reviewed, and shipped faster than ever before across the entire industry. It also means that testing frameworks need to evolve for this rapidly changing landscape. Faster development demands faster testing that can catch bugs as they land in a codebase, without [...] Read More... The post The Death of Traditional Testing: Agentic Development Broke a 50-Year-Old Field, JiTTesting Can Revive It appeared first on Engineering at Meta .
GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-grade performance on large-scale programming tasks, rivaling leading closed-source models. With advanced agentic planning, deep backend reasoning, and iterative self-correction, GLM-5 moves beyond code generation to full-system construction and autonomous execution.
LinqAlpha is a Boston-based multi-agent AI system built specifically for institutional investors. The system supports and streamlines agentic workflows across company screening, primer generation, stock price catalyst mapping, and now, pressure-testing investment ideas through a new AI agent called Devil’s Advocate. In this post, we share how LinqAlpha uses Amazon Bedrock to build and scale Devil’s Advocate.
A new AI agent that can run locally on computers is reverberating inside and outside Silicon Valley, performing everything from writing emails and updating calendars to implementing workflow automations and creating custom applications.
A new company called Meridian.AI has emerged from stealth with an IDE-based approach to agentic financial modeling.
By Ryan Lopopolo, Member of the Technical Staff
Strong generative media showings from China
Iberdrola, one of the world’s largest utility companies, has embraced cutting-edge AI technology to revolutionize its IT operations in ServiceNow. Through its partnership with AWS, Iberdrola implemented different agentic architectures using Amazon Bedrock AgentCore, targeting three key areas: optimizing change request validation in the draft phase, enriching incident management with contextual intelligence, and simplifying change model selection using conversational AI. These innovations reduce bottlenecks, help teams accelerate ticket resolution, and deliver consistent and high-quality data handling throughout the organization.
Amazon Nova Sonicnbsp;delivers real-time, human-like voice conversations through the bidirectional streaming interface. In this post, you learn how Amazon Nova Sonic can solve some of the challenges faced by cascaded approaches, simplify building voice AI agents, and provide natural conversational capabilities. We also provide guidance on when to choose each approach to help you make informed decisions for your voice AI projects.
Imagine thousands of chatbots immersed in social media created specifically for them, a site where humans may watch but are not allowed to post. It exists. It's called Moltbook, and it's where AI agents go to discuss everything from their human task masters to constructing digital architecture to creating a private bot language to better communicate with each other without human interference.
LLMs (alone) won’t cure cancer
a quiet day lets us reflect on a pithy quote from the ClawFather.
Qwen3-Max-Thinking is the flagship reasoning model in the Qwen3 series, designed for high-stakes cognitive tasks that require deep, multi-step reasoning. By significantly scaling model capacity and reinforcement learning compute, it delivers major gains in factual accuracy, complex reasoning, instruction following, alignment with human preferences, and agentic behavior.
This blog post dives deeper into the implementation architecture for the Automated Reasoning checks rewriting chatbot.
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Lots of influential people in tech last week were describing Moltbook, an online hangout populated by AI agents interacting with one another, as a glimpse into the future. It appeared to show…
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