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AWS Unveils Three Frontier AI Agents to Automate Coding, Security, and DevOps

AWS Unveils Three Frontier AI Agents to Automate Coding, Security, and DevOps

Amazon Web Services introduced three new AI agents—Kiro, Security Agent, and DevOps Agent—designed to operate autonomously for extended periods. Kiro, a coding specialist, learns a team’s workflow, follows spec‑driven development, and can persist context across sessions. Security Agent independently identifies and proposes fixes for code vulnerabilities, while DevOps Agent handles testing and performance validation. AWS CEO Matt Garman highlighted the agents’ ability to take on complex backlog tasks with minimal human oversight, marking a significant step toward AI‑driven software development.

AWS Unveils Nova 2 AI Models and Nova Forge Customization Service

AWS Unveils Nova 2 AI Models and Nova Forge Customization Service

Amazon Web Services announced a new generation of its Nova AI models—Nova 2 Lite, Nova 2 Pro, Nova 2 Sonic and Nova 2 Omni—alongside a Nova Forge service that lets enterprises build customized versions of the models. The launch, revealed at the AWS re:Invent keynote, expands Nova’s capabilities across text, image, video and speech tasks and offers a pathway for companies to train the models on proprietary data for a subscription fee.

Amazon Unveils Nova Frontier AI Models and Nova Forge Customization Platform

Amazon Unveils Nova Frontier AI Models and Nova Forge Customization Platform

Amazon announced a new suite of frontier artificial intelligence models—Nova Lite, Nova Pro, Nova Sonic and Nova Omni—at its re:Invent conference. Alongside the models, the company introduced Nova Forge, a tool that lets cloud customers add their own data at various stages of model training to create specialized versions. Early adopters such as Reddit, Booking.com, Sony and Nimbus Therapeutics are testing the service. Amazon claims the Nova 2 Pro model matches or exceeds leading competitors on benchmark tests, positioning the offering as a customizable alternative for businesses seeking domain‑specific AI capabilities.

AWS Expands Bedrock AgentCore with Policy Controls, Evaluation Suite, and Memory Feature

AWS Expands Bedrock AgentCore with Policy Controls, Evaluation Suite, and Memory Feature

Amazon Web Services unveiled a trio of upgrades to its Bedrock AgentCore platform at the re:Invent conference. The new Policy tool lets developers set natural‑language boundaries for AI agents, including data‑access limits and transaction caps, while integrating with the AgentCore Gateway to enforce those rules. A pre‑built Evaluations suite offers 13 metrics to monitor correctness, safety and tool‑selection accuracy. Finally, AgentCore Memory gives agents a persistent log of user preferences, enabling more personalized interactions. Vice‑president David Richardson emphasized that these layers together aim to make enterprise AI agents safer, more controllable, and more useful over time.

Simular Secures $21.5M Series A to Scale AI Agents for Mac and Windows

Simular Secures $21.5M Series A to Scale AI Agents for Mac and Windows

Simular, a startup developing AI agents that can directly control Mac OS and Windows computers, announced a $21.5 million Series A round led by Felicis with participation from NVentures and other investors. The company released version 1.0 of its Mac agent and is collaborating with Microsoft on a Windows version as part of the Windows 365 for Agents program. Founded by former Google DeepMind researchers Ang Li and Jiachen Yang, Simular’s technology, dubbed “neuro‑symbolic computer‑use agents,” aims to curb LLM hallucinations by generating deterministic code for repeatable tasks. Early customers include a car dealership and homeowners’ associations.

Mistral closes in on Big AI rivals with new open-weight frontier and small models

Mistral closes in on Big AI rivals with new open-weight frontier and small models

French AI startup Mistral unveiled its Mistral 3 family, featuring a large frontier model with multimodal and multilingual capabilities and nine smaller, fully customizable models. The launch emphasizes open-weight access, allowing developers to run models on a single GPU and fine‑tune them for specific enterprise tasks. Mistral positions its models as cost‑effective alternatives to closed‑source rivals, highlighting efficient architecture, extensive context windows, and suitability for on‑premise deployment. The company also announced collaborations with partners in robotics, cybersecurity, and automotive sectors to integrate its models into specialized applications.

Mistral AI Unveils Open‑Source, Multilingual Language Models for Edge Devices

Mistral AI Unveils Open‑Source, Multilingual Language Models for Edge Devices

French AI firm Mistral AI announced a new family of open‑source language models, including the flagship Mistral Large 3 and a suite of smaller Ministral 3 variants. Designed for general‑purpose use and edge deployment, the models support a wide range of languages by emphasizing non‑English training data. Co‑founder Guillaume Lample highlighted the goal of making high‑end AI accessible, while the open‑weight approach allows developers to customize and run the models on laptops, smartphones, cars, or robots without relying on constant internet connectivity.

Inside Anthropic’s Societal Impacts Team: Tracking Claude’s Real‑World Effects

Inside Anthropic’s Societal Impacts Team: Tracking Claude’s Real‑World Effects

Anthropic’s societal impacts team, led by Deep Ganguli, examines how the company’s Claude chatbot is used and how it influences society. The small group of researchers and engineers gathers usage data through an internal tool called Clio, publishes findings on bias, misuse, and economic impact, and works closely with safety and policy teams. Their work includes identifying explicit content generation, coordinated spam, and emerging emotional‑intelligence concerns such as “AI psychosis.” While the team enjoys a collaborative culture and executive support, it faces resource constraints as its scope expands.

Gradium Secures $70 Million Seed Round to Accelerate Ultra‑Low‑Latency AI Voice Technology

Gradium Secures $70 Million Seed Round to Accelerate Ultra‑Low‑Latency AI Voice Technology

Gradium, a Paris‑based AI voice startup spun out of the French lab Kyutai, announced a $70 million seed financing led by FirstMark Capital and Eurazeo, with participation from Xavier Niel, DST Global Partners and Eric Schmidt. The company, founded by former Google DeepMind researcher Neil Zeghidour, offers ultra‑low‑latency, multilingual voice models that aim to deliver near‑instantaneous AI speech. Gradium enters a crowded market that includes major LLM firms and specialized voice startups, positioning its technology for developers seeking faster, more accurate voice capabilities across multiple languages.