Agents12 min read
AWS releases AgentCore Evaluations for multi-agent systems
Amazon Bedrock AgentCore adds a platform to evaluate agent performance and explainability in production.
From AWS machine learning blog
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Agents12 min read
Amazon Bedrock AgentCore adds a platform to evaluate agent performance and explainability in production.
From AWS machine learning blog
Agents1 min read
The recent Google for Startups AI Agents Challenge revealed that the most successful multi-agent systems rely on foundational software engineering patterns rather than just raw model power. Winning architectures consistently implemented ...
From Google AI developers blog
Photo: Yan Krukau
Agents10 min read
AI transforms how developers work, shifting focus from implementation to defining problems, evaluating output, and making technical decisions.
From GitHub blog: AI & ML
Agents1 min read
This post details a two-layered approach to monitoring production agent systems. It combines Amazon Bedrock AgentCore Evaluations for continuous quality scoring with AWS DevOps Agent for autonomous infrastructure investigation, using a four-agent airline reservation system as an example.
From AWS machine learning blog
Research1 min read
Research demonstrates that using subagents – which execute in separate context windows – outperforms traditional agent-skill execution for long-horizon tasks. This approach reduces context window degradation and improves reasoning quality, but introduces communication overhead.
From arXiv cs.AI
LLMs1 min read
This research traces the evolution of algorithmic outputs, identifying three key mutations – speech as data, speech as engagement, and generative text – and their associated legal and social consequences. It provides a framework for understanding these changes and their impact on freedom of expression and informational privacy.
From arXiv cs.CL
Research1 min read
ARC-Bench identifies a fundamental flaw in frozen JEPA-style world models: predicted action rankings based on latent space distances consistently fail to align with true cost. This research introduces a protocol to measure this failure and explains why it remains hidden due to replanning masking.
From arXiv cs.AI
Agents1 min read
Deepagents introduce context modes allowing subagents to either inherit or isolate a supervisor's context, improving efficiency and focus for multi-agent workflows. This approach enables faster and more cost-effective operation.
From LangChain blog
LLMs1 min read
A distributional theory explains how large language models incorporate external evidence, revealing that model responses are influenced by prior beliefs and evidence characteristics across multiple domains.
From arXiv cs.CL
LLMs1 min read
A multi-resolution framework is proposed for interpreting human activity traces in workplace agents, capturing different temporal scales for better understanding and prediction.
From arXiv cs.CL
LLMs1 min read
The August newsletter includes details on OpenAI's cyberattacks, game integrations with Fable 5 and Sol 5.6, and updates on ChatGPT work models, offering insights for engineers managing models and agents.
From Simon Willison
Agents1 min read
Amazon Bedrock AgentCore enables AI-driven development with reference implementations like SQL-to-ER diagram generator and code security analyzer, demonstrating practical phases of AI-DLC.
From AWS machine learning blog
Agents1 min read
This guide clarifies key AI terms – loops, harnesses, squads, and hill climbing – used in agent systems and workflows. Understanding these concepts is crucial for engineers deploying and managing AI models in production.
From GitHub blog: AI & ML
Research1 min read
DeepMind announced Gemini's new agentic video understanding capabilities, enabling models to interpret and act on video content more effectively.
From Google DeepMind blog
Agents1 min read
Atos upskilled 400 engineers in agentic AI via a three-day AWS-based event focused on building multi-agent systems, emphasizing practical learning for enterprise deployment.
From AWS machine learning blog
Agents2 min read
Several prominent open-source projects, including Vercel’s AI SDK, Astro, and tldraw, are implementing software factories utilizing agents to manage contributions, reducing PR volume and improving issue resolution efficiency. This approach prioritizes internal agent workflows over external community contributions.
From Latent Space
Models1 min read
ChatGPT Ads has achieved a $1 billion annualized revenue run rate and is expanding its global reach, supporting broader access to AI through free and affordable options.
From OpenAI news
Research2 min read
Google Research developed AgentHands, an XR prototype leveraging LLMs to generate spatially grounded hand gestures for AI agent conversations. This system uses a taxonomy of hand behaviors and real-time object registration to provide intuitive physical demonstrations in immersive environments.
From Google Research blog
LLMs1 min read
IBM has released Granite 4.2, a family of open-weight LLMs designed for agent systems. These models offer a context window of 32k tokens and are available under a permissive Apache 2.0 license.
From Hugging Face blog
Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.
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