SandboxAQ Integrates Its Quantitative AI Models with Anthropic’s Claude via MCP

The first NVIDIA Vera CPUs arrived at three of the world's leading AI labs on Friday — Anthropic in San Francisco, OpenAI in Mission Bay, SpaceXAI in Palo Alto — followed by a delivery to Oracle Cloud Infrastructure in Santa Clara on Monday. NVIDIA Vice President of Hyperscale and High-Performance Computing Ian Buck hand-delivered them.

Attorneys representing a former Homeland Security official admitted using Anthropic’s Claude Console to help draft a court filing that included fabricated quotes.

Other venture-backed companies like Chai Discovery and Isomorphic Labs have raced to build better models. SandboxAQ is betting that the bigger obstacle is access, and that Claude solves it.

May 18, 2026 — From writing emails to generating computer code, much of the artificial intelligence prevalent in our daily lives has succeeded by mastering one domain: text. However, this […] The post Berkeley Lab: New MatterChat Model Helps AI to ‘See’ the Language of Science appeared first on AIwire.

Stainless, a New York-based startup, will wind down all hosted products as part of the acquisition.

The pope’s encyclical will address ‘the protection of the human person in the age of AI’, the Vatican says In the first major text of his papacy, Pope Leo will address the rapid rise of artificial intelligence. The Chicago-born pontiff will present the document, known as an encyclical, at the Vatican next week during an event attended by Christopher Olah, the co-founder of Anthropic – a US-based AI firm that has clashed with Donald Trump’s administration. Continue reading...

Recently PwC announced it will train and certify 30,000 staff on Anthropic’s Claude and build an Office of the CFO business around it for banking, insurance, and healthcare clients. Anthropic also recently committed $100 million to a partner network. Not to be outdone, OpenAI stood up the OpenAI Deployment Company, aka “DeployCo”, a new company backed by more than $4 billion in initial investment that sends forward-deployed engineers on-site to embed GPT models into customer workflows. For companies that supposedly sell tokens by the million, investing in low-scale, low-margin professional services could seem like a curious way to spend money. But it’s not curious at all. It’s the tell. Even as models get easier to swap, the work that surrounds them is not. Developers already move among Claude Code, Codex, Gemini, and local models with less ceremony than vendors would like. At the API layer, substitution is getting easier, too. Not effortless or free, but easier than replacing the work

Hyperliquid’s HYPE token has jumped as its HIP-3 pre-IPO perp marketplace heats up ahead of a series of high-profile tech IPOs.