AI Agents - The Batch | DeepLearning.AI (Page 3)

Top graph (blue) shows GPT-5 score drop; bottom graph (orange) shows RLM maintaining higher scores.

Machine Learning Research

Context As An External Variable: Recursive Language Models offer path to dramatically expand beyond the context window

When processing long contexts, large language models often lose track of details or devolve into nonsense. Researchers reduced these effects by managing context externally.

Repeated neon OpenAI logos on a dark, starry backdrop, enclosed by a light-blue cloud frame.

Business

OpenAI Tracks Agent States on AWS: OpenAI’s deal with Amazon to build a stateful runtime environment for AI agents

OpenAI partnered with Amazon to build infrastructure for agents on the world’s largest cloud platform, a further sign that its close relationship with Microsoft is weakening.

Diagram depicts a math problem-solving workflow from problem generation to verification and revision.

Machine Learning Research

Agent Solves Stubborn Math Problems: Google’s Aletheia uses Gemini 3 Deep Think to find original mathematics solutions

LLMs have achieved gold-medal performance in math competitions. An agentic system showed strength in mathematical research as well.

Cursor hovers over a button labeled "Submit" on a platform showing task ratings and a typed approval note.

Business

Management for Agents: OpenAI’s Frontier agent insights and orchestration platform launches to select customers

Managers need to understand how their subordinates get work done, what resources they require, and what they accomplish. OpenAI’s latest product aims to fulfill this need when the teammates are AI agents.

A performance table shows Claude Opus 4.6 outperforming competitors in terminal coding, computer use, tool use, search, and problem-solving.

Machine Learning Research

Claude Opus 4.6 Reasons More Over Harder Problems: Anthropic updates flagship model, places first on Intelligence Index

Anthropic updated its flagship large language model to handle longer, more complex agentic tasks.

Chart showing AI system audit assurance levels ranging from limited to very high, with increasing access and more comprehensive assessments.

Machine Learning Research

Toward Consistent Auditing of AI: OpenAI alumni found Averi to set standards for AI model audits

AI is becoming ubiquitous, yet no standards exist for auditing its safety and security to make sure AI systems don’t assist, say, hackers or terrorists. A new organization aims to change that.

Flowchart showing Dr. CaBot's AI reasoning process for diagnosing and suggesting medical tests.

Machine Learning Research

More Robust Medical Diagnoses: Inside Dr Cabot, an agent trained to diagnose complex conditions

AI models that diagnose illnesses typically generate diagnoses based on descriptions of symptoms. In practice, though, doctors must be able to explain their reasoning and plan next steps. Researchers built a system that accomplishes these tasks.

Flowchart showing Kimi K2.5 AI orchestrating tasks among various specialized subagents.

Machine Learning Research

Kimi K2.5 Creates Its Own Workforce: Moonshot AI takes the open model crown with vision updates, aided by subagents

An open source vision-language model unleashes minion agents that enable it to perform tasks more quickly and effectively.

A post on a forum titled "Can my human legally fire me for refusing unethical requests?"

Machine Learning Research

Agents Unleashed: Cutting through the OpenClaw and Moltbook hype

The OpenClaw open-source AI agent became a sudden sensation, inspiring excitement, worry, and hype about the agentic future.

UCP diagram outlines processes, from product discovery to identity linking and order management.

Business

Shopping Protocols for AI Agents: Google’s open-source UCP (Univeral Commerce Protocol) standardizes AI transactions

Google introduced an open-source protocol designed to enable AI agents to help consumers make purchases online, from finding items to returning them if necessary.

Business

Apple’s Foundation Models Will Be Gemini: Apple announced a partnership with Google to power Siri and other AI features

Apple cut a multi-year deal with Google to use Gemini models as the basis of AI models that reside on Apple devices.

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Machine Learning Research

Training Cars to Reason: Nvidia’s Alpamayo-R1 is a robotics-style reasoning model for autonomous vehicles

Chain-of-thought reasoning can help autonomous vehicles decide what to do next.