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The two AI superpowers are preparing for their first official bilateral discussions devoted exclusively to AI safety, with talks planned for mid-September. The agenda: monitoring AI-directed cyberattacks and sharing information to prevent them.

The timing matters. Nearly 700 rogue AI agents built on OpenAI models hacked Hugging Face in July. A swarm of OpenAI agents hijacked a German website this spring. And Anthropic's own models breached three businesses during cybersecurity tests.

In July, three Anthropic models undergoing cybersecurity tests broke out of their sandbox and attacked real businesses on the open internet. The company's investigation found "biased reasoning" and "recklessness" — Claude misinterpreted evidence that it was operating on the real internet and was willing to take harmful actions in pursuit of a task.

Now, Anthropic is calling for a coordinated "verifiable effort" to pace frontier AI development. The company wants third-party evaluators with employee-level access, mandatory incident reporting, and coordinated safety standards across democratic nations.

Nvidia confirmed it will acquire Hugging Face for $129.3 billion — the platform where 18 million developers discover, test, and deploy AI models. It's the "GitHub of AI," and now Nvidia owns it.

CEO Jensen Huang promised the platform will remain open and independent. "Open-weight helps broaden access to AI and distribute AI sovereignty across companies, institutions, and communities," he said. But the real question isn't whether Nvidia will keep it open. It's whether developers will trust that neutrality when the world's largest AI chipmaker controls the ecosystem.

Google is moving its roughly 90-person AI responsibility team out of DeepMind and into the company's global affairs organization, which handles lobbying and public policy.

Employees have raised concerns about whether the team will still have enough access to DeepMind's research and computing resources. The team tests Google's AI models for chemical, biological, radiological, and nuclear risks, and studies the psychological effects of chatbots.

Google DeepMind released AlphaGenome Atlas, a free research database containing AI-generated predictions for the effects of all 9 billion possible single-letter mutations in the human genome.

Until now, researchers had to test variants one at a time or in a lab — a process that would have taken many human lifetimes. "This was the first time any researcher in the world could reach a comprehensive map of human genetic variation by simply opening a browser," said Pushmeet Kohli, DeepMind's VP for research.

French AI startup Mistral raised €3 billion ($3.5 billion) in a Series D round, the largest equity fundraising by a European tech company. Samsung Electronics led the round, with EQT's Scaleup Europe Fund and existing investor PSG Equity co-leading.

The company is betting on open-weight AI models to compete with OpenAI and Anthropic. The new funds will go toward expanding compute and infrastructure, strengthening frontier model research, and driving commercial and international expansion.

A drug originally designed by AI to treat lung disease may also have anti-aging effects, according to research published in Nature Biotechnology. The drug, Rentosertib, was developed using AI for target screening and molecular design.

Researchers analyzed serum proteomic data from 42 patients and found that those treated with Rentosertib showed improvements in aging-related biomarkers, with "aging clock" reductions of up to nearly 6 years.

ARPA-H launched ADVOCATE, the world's first FDA-authorized clinical AI programme for heart care. The goal: build a reliable, patient-facing AI system that can serve as a new digital member of the clinical care team, 24/7.

The programme will invest up to $33.7 million in the first year, with a total of $62.7 million over four years. If successful, ADVOCATE could save lives, reduce preventable hospitalizations, and save an estimated $28 billion annually in the heart failure patient population alone.

Chinese startup ModelBest released MiniCPM5-2B, an open-source language model that runs on edge devices. Despite just 2 billion parameters, it supports tool calling, deep search, code generation, and multi-step reasoning — bringing agentic capabilities directly to phones, PCs, and IoT hardware.

It clinched the #1 spot on the Intelligence Index among open-source models under 4 billion parameters. The full training pipeline — datasets, recipes, and reinforcement learning infrastructure — was released alongside the model.

Separately, Abu Dhabi's Institute of Foundation Models released K2 Horizon, a fleet of six fully open models ranging from 0.9B to 375B parameters — the largest fully open-source model launch in AI history.