Briefing

Meta restricts use of Claude Code and Codex to keep rival AI out of its training data

Meta is restricting its engineers' use of Anthropic's Claude and OpenAI's Codex to prevent output from these AI tools from being incorporated into its own train…

African bedrock: How the continent’s minerals can help power the world

Critical minerals underpin everything from AI to low-carbon energy, and African mining sits at the epicenter. Three key moves can help unlock the continent’s na…

The operational reality of marketing inside an AI company

By Tina Sang, Marketing & Growth Lead at falI spent last week at Cannes Lions International Festival of Creativity, where nearly every conversation eventual…

Ask an AI expert: What exactly is the full stack?

A Google expert explains what it means to take a full-stack approach to AI and why it’s been the foundation of our AI work for so long.…

Deloitte tells its own consultants: AI is coming for the billable hour

An internal Deloitte presentation projects that the consulting industry's classic hourly billing model will shrink to a thin sliver of the total market by 2035,…

The US military used AI to pick thousands of targets but missed a note saying one was a school

The probe into a missile strike on an Iranian school exposes serious gaps in the US military's targeting infrastructure. AI is supposed to close them. The artic…

GenPage: Towards End-to-End Generative Homepage Construction at Netflix

Agent Harness: Working with your data, safely

Part 2 of Build your own claw and agent harness with Microsoft Agent Framework. In Part 1 we stood up a harness and gave our personal finance assistant its firs…

Import AI 463: Self-improving robots; a 10k Chinese GPU cluster; and an elegiac essay for the human era

What eras bookend our interregnum?…

Open Models, Closed Environments: Palantir Brings Secure AI to US Agencies With NVIDIA Nemotron

Showcasing the importance of open source innovation in American AI, Palantir’s new intelligent engine — introduced today — uses NVIDIA Nemotron open models to s…

Claude Code runs a GitHub repo's hidden malware without verification, giving attackers full control

Security researchers at Mozilla's 0DIN platform have shown how a single compromised GitHub repo can take over a developer's machine the moment an AI coding tool…

In an AI-driven world, the fastest learner will win: An interview with McKinsey’s Sven Smit

As he steps down as chair of McKinsey Global Institute, Sven considers the current AI moment, where the next big ideas are coming from, and how institutions wil…

Mapping Europe’s AI Workforce Opportunity

A new OpenAI report maps how AI could reshape jobs across the EU, highlighting which occupations may face automation, growth, or workflow changes.…

Samsung and SK Hynix plan $590 billion chip investment as AI demand sends memory prices soaring

Samsung and SK Hynix, backed by the South Korean government, are pouring $590 billion into new chip factories and packaging centers as AI data center demand sur…

Intent-Governed Tool Authorization for AI Agents

AI agents increasingly act through external tools: they read private data, construct structured payloads, submit write requests, export records, and coordinate …

Humanoid-OmniOcc: Stereo-Based Full-View Occupancy Dataset for Embodied AI

Occupancy prediction at voxel-level granularity is essential for safe robotic navigation and interaction in complex environments. Existing occupancy datasets, h…

Unlocking In-Context Learning in Audio-Language Models from Decentralized Medical Audio

Clinical audio diagnosis in low-resource settings requires models that identify conditions from minimal examples without large annotated corpora. We propose Fed…

On the Limits of Prompt-Conditioned Language Models as General-Purpose Learners

Large Language Models (LLMs) are frequently portrayed as general-purpose solvers capable of solving arbitrary tasks. We argue that this view overlooks a fundame…

ABACUS: Adapting Unified Foundation Model for Bridging Image Count Understanding and Generation

ABACUS is a unified vision-language model that handles object counting, crowd counting, referring-expression counting, and count-faithful image generation witho…

The Measurable Majority

This paper studies strict majority reasoning in finite electorates using so-called $\textit{social decision frames}$: finite sets of voters equipped with distin…

Digital Twin-Driven Adaptive Sim-to-Real Alignment via Reinforcement Learning for Vibration-Based Bearing Health Monitoring Under Data Scarcity

Vibration-based health monitoring of rotating machinery requires reliable fault diagnosis under operational data constraints, yet condition assessment remains c…

REDI-Match: Rotation-Equivariant Distillation for Efficient and Robust Dense Matching

Vision Foundation Models (VFMs) have significantly advanced dense feature matching, yet severe in-plane rotation remains a critical challenge. Existing solution…

Automatic Part-of-Speech Tagging of Arabic-English Dictionary Senses through WordNet

This paper proposed an algorithm for part-of-speech (POS) tagging senses of a bilingual dictionary. The algorithm is applied on the Al-Mawrid Arabic-English dic…

Solving Markov Decision Processes with Future Information via MPC

Model Predictive Control (MPC) is widely used in industrial and robotic systems for enforcing constraints and embedding domain knowledge through finite-horizon …

Paying to Know: Micro-Transaction Markets for Verified Product Information in Agentic E-Commerce

Commercial NLP treats the shopping chatbot as a recommender or a conversion tool: its job is to match a user to a catalogue entry and close a sale. We argue tha…

Scalable Peptide Design via Memory-Efficient Equivariant Transformer

Target-specific peptide design requires sequence and structure co-design under full atom geometric constraints. Latent generative frameworks offer an effective …

IV-CoT: Implicit Visual Chain-of-Thought for Structure-Aware Text-to-Image Generation

Unified multi-modal large language models (MLLMs) have achieved strong text-to-image generation quality, but still struggle with structure-aware prompt followin…

Benchmarking the Alignment of Data-Quality Metrics, Human Judgment and Land-Cover Segmentation Performance for Earth Observation

Volume and quality of datasets are crucial for deep learning model training, yet they are often constrained by availability and data acquisition costs. Syntheti…

The Gentle Collapse: Distributional Metrics for Continual Learning

Accuracy degradation is the standard metric for Catastrophic Forgetting (CF), however, it records only whether forgetting occurred or not. It saturates at the e…

Dual Agreement Consistency Learning for Semi-Supervised Fetal Ultrasound Segmentation

Maternal-fetal US is the primary imaging modality for monitoring fetal development, yet accurate automated segmentation remains challenging due to the scarcity …