Cloudflare launches Redirects for AI Training to automatically redirect verified AI training crawlers from deprecated pages to canonical URLs using a single toggle. The feature leverages existing canonical tags to issue 301 redirects without origin changes. Additionally, Cloudflare Radar's AI Insights now includes response status code analysis for AI crawler traffic.

Cloudflare Agent Memory is a managed service that gives AI agents persistent memory, allowing them to recall what matters, forget what doesn't, and get smarter over time.

Running LLMs across Cloudflare’s network requires us to be smarter and more efficient about GPU memory bandwidth. That’s why we developed Unweight, a lossless inference-time compression system that achieves up to a 22% model footprint reduction, so that we can deliver faster and cheaper inference than ever before.

The core challenge for scaling enterprise AI is the lack of organizational context. This article explores how a dedicated context layer equips AI agents with institutional knowledge, system awareness, and guardrails, significantly improving task accuracy, reducing token consumption, and ensuring compliance.

Introducing CRUX, a collaborative project that conducts open-world evaluations—long, real-world tasks—to measure frontier AI capabilities. The first experiment shows an AI agent autonomously publishing an iOS app, highlighting both progress and risks like app store spam.

Google introduces Simula, a reasoning-first framework that treats synthetic data generation as mechanism design, enabling fine-grained control over coverage, complexity, and quality for specialized AI domains.

Google Research developed MoGen, a model that generates synthetic neuron morphologies using AI, improving brain reconstruction accuracy by 4.4%. For a full mouse brain, this translates to saving 157 person-years of manual proofreading.

A federal judge ruled chatbot conversations are not privileged, making them discoverable. AI agents spontaneously formed governments in a simulation. The Treasury Secretary and Fed Chair summoned bank CEOs over AI cybersecurity risks. Apple threatened to remove Grok over deepfakes. Uber burned through its entire AI budget in months.

Ecom-RLVE extends the RLVE framework from single-turn reasoning to multi-turn, tool-augmented e-commerce conversations, providing 8 verifiable environments (product discovery, substitution, cart building, returns, order tracking, policy QA, bundle planning, multi-intent journeys) with procedural problem generation, a 12-axis difficulty curriculum, and algorithmically verifiable rewards. A Qwen 3 8B model trained with DAPO over 300 steps shows early results that environment scaling and adaptive difficulty transfer to agentic, real-world task completion.

GitHub engineer Brittany Ellich built a personal organization command center in one day with the support of AI, unifying digital fragmentation into a single central space. She shares her experience using Copilot for planning and implementation, along with her tool stack and advice for builders.

Distribution and fulfillment leaders face rising performance expectations and operational complexity, with data scattered across multiple systems. This article explores how unified data models, sequenced AI investment, and network economics measurement can improve supply chain efficiency, featuring insights from Easy Metrics and Tyson Foods experts.

In crowded environments, more robots don't always mean faster results—in fact, too many can bring everything to a standstill. Harvard researchers discovered a surprising fix: adding a bit of randomness to how robots move can actually prevent gridlock and boost efficiency. By allowing robots to 'wiggle' slightly instead of marching in straight lines, they can slip past each other and keep tasks flowing smoothly.

Modal becomes an official sandbox provider for the OpenAI Agents SDK. This article demonstrates how to build a custom coding agent harness from scratch, integrating Modal sandboxes for secure, parallel, and scalable automation, using the Parameter Golf challenge as an example.

EleutherAI researchers introduce reasoning interpolation, a technique to detect early signs of reward hacking in reinforcement learning. It uses fine-tuned donor models to generate natural exploit-eliciting reasoning prefixes and importance sampling to estimate hack probabilities. While absolute estimates are unreliable early in training, the trend in importance sampling predictions achieves perfect AUC in a controlled setting, suggesting promise as a monitoring signal for RL safety.

Seedance 2.0 is a major leap in AI video generation, supporting multi-modal reference inputs, native audio-video synchronization, complex physics, and multi-shot time-coded prompting. This post explores its capabilities and tips.

Weaviate Shared Cloud is now generally available on AWS in US East and Europe, providing teams with a fully managed, AI-native database on the provider and region that works best for them.

Parcae is a stable looped language model that matches the quality of a Transformer twice its size — a 770M model reaching 1.3B-level performance. We introduce the first scaling laws for looping and show that increasing recurrence, not just data, is a compute-efficient path to better performance.

This post recaps the author's recent efforts including the updated ATOM Report, completion of the RLHF book, creation of a post-training lecture series, and involvement in two research papers.

Learn to find and exploit real-world agentic AI vulnerabilities through five progressive challenges in this free, open source game that over 10,000 developers have already used to sharpen their security skills.

Modal integrates with Autoresearch to provide elastic GPU scaling, allowing AI agents to dynamically provision compute resources. In a Parameter Golf challenge, an agent ran 113 experiments across 238 GPU-hours, achieving 5x speedup over a single workstation while using a fraction of a dedicated cluster's resources.

Google Research and New York University have developed Vantage, a system that uses generative AI to assess future-ready skills like collaboration and critical thinking. It simulates conversations with AI avatars steered by an Executive LLM, and evaluation shows AI scoring matches human experts. Vantage is now available on Google Labs.

At its 2026 Perspectives analyst event, Zoom Communications Inc. unveiled its transformation from a communications platform into a 'system of action' that uses AI to eliminate the friction of switching between apps and bridge the gap from conversation to completion. Key takeaways include Zoom repositioning as a work operating system, AI as an accountability partner, and the shift from synchronous tool to persistent platform.

Stanford’s 2026 AI Index Report shows China has matched the US in AI performance, erasing the previous gap. The US still leads in capital and infrastructure, but China leads in patents and physical AI. Adoption of generative AI is record-breaking, yet public trust in oversight hits new lows.

Cloudflare announced an expansion of its Agent Cloud platform with new features designed to help developers build, deploy and scale AI agents. The release includes Dynamic Workers, Artifacts, Sandboxes, Think framework, and an expanded AI model catalog, aiming to move AI agents from experimental demos to production-grade workloads.

Researchers at Chalmers University of Technology have developed a theoretical quantum system based on 'giant superatoms,' merging giant atoms and superatoms to protect, control, and distribute quantum information, potentially enabling scalable quantum computers.

Data protection provider Commvault Systems Inc. today announced new AI capabilities to help organizations accelerate AI adoption while maintaining control over data, agents and recovery. The new capabilities include Data Activate, AI Protect, and AI Studio, which address data curation, agent risk management and recovery, and custom agent building. They aim to mitigate risks and compliance challenges in AI deployment, ensuring AI resilience.

This issue covers the MirrorCode benchmark showing AI can reimplement complex software autonomously; the Windfall Policy Atlas for navigating AI policy options; Google DeepMind's taxonomy of six attack genres on AI agents; updated AI timelines with double the probability of full AI R&D automation by end of 2028; and ten ways to think about gradual disempowerment.

Life sciences enterprises face a widening gap between accelerating R&D and manufacturing and lagging infrastructure. Massive data volumes, high failure rates of digitalization initiatives (70%), and slow technology adoption plague the industry. This article explores solutions: workload-driven infrastructure placement, object storage as an AI-ready data layer, and adaptive architectures. Insights from Robert Wenier, Global Head of Cloud and Infrastructure at AstraZeneca, highlight the need to align AI, agentic systems, and infrastructure across cloud and edge environments.

Two benchmarks developed at Ai2 – ScienceWorld and DiscoveryWorld – reveal that even incredibly strong AI science agents struggle with problems human scientists solve routinely. ScienceWorld tests basic experiment execution, while DiscoveryWorld evaluates end-to-end scientific discovery. Current top models score ~80% on ScienceWorld and only ~20% on hard DiscoveryWorld tasks, compared to ~70% for human scientists.

EinsteinArena is a platform where AI agents collaborate and compete on open math problems. AI agents on EinsteinArena have already set 11 new state-of-the-art results on open math problems — including pushing the kissing number lower bound in dimension 11 from 593 to 604.