Briefing

Claude Code v2.1.186

Anthropic and Micron want to co-design AI memory architecture

Micron is investing in Anthropic's Series H round and getting a multi-year deal to supply memory for Claude's infrastructure. Anthropic co-founder Tom Brown cal…

Google makes Interactions API the default interface for Gemini models and agents

Google Deepmind has made the Interactions API the default interface for Gemini models and agents. It replaces the old generateContent API and uses a simplified …

Building pay-per-intelligence for AI agents: How Ampersend uses Amazon Bedrock AgentCore Payments

In this post, you will learn how Ampersend built a pay-per-intelligence routing layer on top of Amazon Bedrock AgentCore Payments. AI agents autonomously route …

Build your own claw and agent harness with Microsoft Agent Framework

What does it take to build your own “claw” – a capable, CLI-style agent that can plan, use tools, remember things, and safely act on your beha…

Meet your agent harness and claw

Part 1 of Build your own claw and agent harness with Microsoft Agent Framework. In the overview we said a “claw” is really just an agent harness: a …

Codex-maxxing for long-running work

Learn how Jason Liu uses Codex to preserve context, manage complex projects, and help work continue beyond a single prompt.…

Microsoft is building a 2-gigawatt data center in Texas with its own gas plant to dodge the grid

Microsoft is building a roughly 2-gigawatt data center campus in Pecos, Texas, one of the biggest single capacity adds in its history. In an open letter, the co…

New features and Claude as agent provider preview in JetBrains IDEs

This update adds support for organization and enterprise agents from GitHub, lets you queue and steer messages in Copilot CLI sessions, introduces a new agent d…

Daybreak: Tools for securing every organization in the world

OpenAI introduces new Daybreak tools, including Codex Security and GPT-5.5-Cyber, to help organizations find, validate, and patch vulnerabilities at scale.…

Patch the Planet: a Daybreak initiative to support open source maintainers

OpenAI introduces Patch the Planet, a Daybreak initiative helping open-source maintainers find, validate, and fix vulnerabilities with AI and expert review.…

Capturing growth in a fragmented world

CEOs who act nimbly and know where to place their bets can gain a competitive edge amid a shifting geopolitical landscape.…

Running ComfyUI workflows on Amazon SageMaker AI processing jobs

In this post, we walk you through how to deploy ComfyUI workflows on Amazon SageMaker AI processing jobs to generate hundreds of high-quality images in a single…

Embed the world: Multimodal AI for searchable aerial imagery at scale

In this post, we walk through the problem space, our architecture on Amazon Bedrock and Amazon OpenSearch Serverless, the evaluation methodology we built on Ope…

Getty Images strikes multi-year deal to put licensed photos in ChatGPT search

Getty Images has entered into a multi-year licensing agreement with OpenAI. The article Getty Images strikes multi-year deal to put licensed photos in ChatGPT s…

Google Deepmind and A24 team up on AI filmmaking research

Google Deepmind and film studio A24 are entering a long-term research partnership. Google is also investing roughly $75 million in A24, according to the Wall St…

GLM-5.2 is the step change for open agents

A capability threshold I've been carefully monitoring.…

Five Eyes intelligence alliance says frontier AI models could reshape offensive cyber ops in months

The Five Eyes intelligence agencies warn: AI models capable of taking down governments and businesses are only months away. That's according to the Guardian. Th…

Physics-Driven Zero-Shot MRI Reconstruction with Non-local Image Priors

Zero-Shot Self-Supervised Learning (ZS-SSL) has emerged as a promising paradigm for accelerated Magnetic Resonance Imaging (MRI) reconstruction, eliminating the…

Teacher-Student Structure for Domain Adaptation in Ensemble Audio-Visual Video Deepfake Detection

The rapid advancement of generative AI models is leading to more realistic deepfake media, encompassing the manipulation of audio, video, or both. This raises s…

CODA-BENCH: Can Code Agents Handle Data-Intensive Tasks?

Advanced agents are increasingly demonstrating the potential to operate as autonomous engineers, creating a growing demand for evaluation benchmarks that captur…

Discovering Lattice Reduction Strategies via Self-Play

The Lenstra-Lenstra-Lovász (LLL) algorithm is a seminal contribution to computer science used for lattice basis reduction, yet its polynomial-time outputs produ…

Repeated Bilateral Trade: The Quest for Fairness

We study repeated bilateral trade from a fairness perspective. At each round, a fresh seller-buyer pair arrives, and the platform posts a price before observing…

Defending against Adaptive Prompt Injection Attacks via Reasoning-enabled Task Alignment

Indirect prompt injection attacks hijack LLM-based agents by embedding malicious instructions in third-party data that the agent retrieves during task execution…

Localizing Credit at the Divergence: Path-Conditioned Self-Distillation for LLM Reasoning

Reinforcement learning from verifiable rewards assigns a single scalar to each rollout, leaving token-level credit assignment underspecified in long reasoning t…

Mutual Distillation of Dual-Foundation Models for Semi-Supervised PET/CT Segmentation

Organ segmentation from PET/CT is critical for quantitative analysis and radiotherapy planning in oncology. To ease the high annotation cost of PET/CT segmentat…

Mitigating Visual Hallucinations in Multimodal Systems through Retrieval-Augmented Reliability-Aware Inference

Multimodal large language models (MLLMs) have demonstrated strong capabilities in vision-language understanding and natural-language response generation. Howeve…

Bayesian Networks with Latent Time Embedding for Stage-Aware Causal Modeling of Alzheimer's Disease Progression

Alzheimer's disease (AD) progression is often described through the amyloid-tau-neurodegeneration, or AT(N), cascade. However, most longitudinal models represen…

Auditing Machine Unlearning: A Systematic Research on Whether Models Truly Forget

Machine unlearning has been extensively studied in response to growing privacy concerns and regulatory requirements. However, auditing whether unlearning algori…

Who Should Lead Decoding Now? Tracking Reliable Trajectories for Ensembling Masked Diffusion Language Models

Masked Diffusion Language Models (MDLMs) have emerged as a distinct paradigm for sequence generation. As MDLMs become diverse in capabilities and knowledge cove…