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Every layer of the AI stack runs CI on Buildkite: frontier labs (Cursor, Meta, OpenAI, Anthropic, Mistral, Cohere); inference (vLLM, Coreweave, Anyscale); ML platform infra (NVIDIA, Lambda, Hugging Face, Tecton); applied (Harvey, Persona, Anyscale).
OpenAI plans to launch GPT-5.6, potentially including Mini and Pro variants, next week. Key enhancements include a larger 1.5 million token context window, improved long-horizon coding, and faster Codex response times. Competitive pricing aims to undercut Anthropic, especially as US regulatory issues impact Anthropic's Claude Fable 5 availability.
Midjourney's new project is a medical machine that can scan a person's whole body in just 60 seconds. The Midjourney Scanner is not related to anything seen from the company so far. It can create a 3D map of users' bodies, down to a fraction of a millimeter, that looks similar to an MRI but at nearly a hundred times the speed. A full scan takes less than 60 seconds, compared to the 60 to 90 minutes it typically takes to do a full-body MRI. The company is building spas to house the machines for customers to use.
Perplexity Brain is a memory system that builds a persistent context graph across tasks, projects, decisions, files, and sources so agents can start with relevant context instead of starting from scratch. Brain links every memory to its original source, continuously updates and organizes knowledge over time, and improves answer correctness while reducing task costs through better retrieval and reuse of prior work.
MosaicLeaks highlights the privacy risks of deep research agents that combine private documents with web retrieval, often leaking sensitive information. The proposed solution, PA-DR, enhances both performance and privacy by reducing answer/full-information leakage from 34% to 9.9% while maintaining task success. PA-DR uses rewards for safe query construction rather than relying on user prompts, making agents perform better without compromising data security.
Reinforcement learning on realistic scenarios targeting beneficial traits can produce broad improvements across dozens of benchmarks measuring aligned and beneficial behavior. These gains generalize beyond the domains used for training and persist under adversarial pressure. This suggests that personas could be deeply entrenched in models, and RL may be a path towards entrenching beneficial personas.
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As part of the Spring ‘26 Edition, Shopify designers and developers built five shopping apps within days. With each running on Catalog API [12]for product discovery and Universal Commerce Protocol for the full commerce journey from discovery to checkout, they show what's possible
Claude Code now supports "artifacts," turning work sessions into live, shareable visual pages for tasks like PR walkthroughs and system explainers. Artifacts refresh automatically with updates and offer features like version history and privacy controls. Available in beta for Claude Team and Enterprise, artifacts improve collaboration by consolidating session context into a single, accessible page.
Google's AI Control Roadmap is a framework for building and managing the advanced AI deployed within the company. The approach adds a crucial layer of system-level security that provides assurance even if alignment is perfect. It incorporates safeguards like sandboxing, endpoint security, and prompt injection resistance. The roadmap uses AI alignment as a primary defense. It considers internal agents as potentially misaligned, providing assurance even if alignment isn't perfect.
ZPPO stores difficult questions in a replay buffer so the model can repeatedly train on them rather than seeing them only once. The method is designed to strengthen learning on challenging examples and improve rollout accuracy.
Yann LeCun criticized Elon Musk's xAI as a failure unable to compete with AI leaders like OpenAI and Anthropic. LeCun highlighted that Musk struggles to hire top talent due to past behaviors and must rent infrastructure to recover costs. He warned that AI labs must increase prices or cut costs to avoid a "big bubble explosion" due to high operational expenses.
Google is renting computing power from thousands of its microprocessors at an AI data center in Western New York to AI giant Anthropic. The move will help data centers raise cheaper debt. Google realized the commercial potential for its TPUs about two years ago and started investing in their inference capabilities. Its AI infrastructure team is now hyper-focused on improving chip performance.
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Scribe Optimize [18] automatically detects real workflows across your org and surfaces inefficiencies — so your AI initiatives are built on ground truth, not gut feel. No surveys. No guesswork. See what
OpenAI introduced new credit usage analytics and expanded spend controls for ChatGPT Enterprise.
DeepSeek told potential investors not to poach the startup's staff or encourage them to start their own companies.
Baseten specializes in providing software and computing capacity to companies tapping into lower-cost AI models.
A new and more difficult phase of the AI governance race with more politics and higher stakes has begun.