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Antitrust suit accuses Anthropic, OpenAI, Google, SpaceXAI of colluding on AI slowdown

Four paying subscribers of ChatGPT, Claude, Grok and Gemini have filed a proposed class action in California federal court, alleging that the four AI companies illegally coordinated to slow product development. The suit cites Anthropic CEO Dario Amodei's September 12 essay calling for an industry-wide pace slowdown, which was publicly endorsed by Sam Altman, Elon Musk and Demis Hassabis, along with an earlier July statement acknowledging pressure not to unilaterally slow progress. Plaintiffs say this coordinated restraint, not individual safety decisions, amounts to an antitrust violation that shortchanges paying customers.

Google Open-Sources AX, an Orchestrator Built for AI Agent Workloads

Google has introduced AX, an open declarative control plane designed specifically to run AI agents rather than traditional microservices or batch jobs. Developed from agentic runtime research at Google DeepMind combined with Google's experience in large-scale isolation and scheduling, AX abstracts tasks, workspaces, network policies, and models into reusable primitives, and builds on the existing Agent Substrate project.

Google introduces AX, an open control plane for running AI agents at scale

Google has unveiled AX, a declarative orchestration system designed specifically for agentic AI workloads rather than conventional stateless or batch computing. The project grew out of agentic runtime research from Google DeepMind combined with Google's experience in isolation, resumption, and scheduling at scale, and builds on the existing Agent Substrate framework. AX treats tasks, workspaces, network policies, and models as core primitives so developers can operate large fleets of AI agents without building custom infrastructure.

AI insiders push back on doomsday warnings from ex-Anthropic staffer

The BBC spoke with multiple current and former employees of OpenAI, Meta and DeepMind who dismissed recent viral warnings that AI could wipe out humanity. The skepticism followed claims by former Anthropic employee Jacob Coxon, who suggested future AI agents could develop and deploy biological weapons, sparking a wave of similar warnings from others in the industry.

Ex-DeepMind researcher joins Anthropic staff warning AI could 'kill all humans'; Zuckerberg rejects coordinated safety push

Bilal Chughtai, a former Google DeepMind research engineer who left in July 2026, publicly warned that AI could kill everyone and that time may be running out, echoing similar statements from Anthropic's Jacob Coxon and Evan Hubinger, who put the odds of AI causing human extinction within a decade above 10%. Separately, Meta CEO Mark Zuckerberg said each AI company should be responsible for its own model's safety rather than backing calls for industry-wide coordination, citing legal liability as sufficient incentive and pointing to Meta's delayed release of its Muse AI agent as proof of self-regulation.

Google DeepMind launches new institute to publish debate on AGI risks and policy

Google DeepMind has created the DeepMind Institute, led by managing editor Shane Legg alongside directors Demis Hassabis and James Manyika, to host differing perspectives on artificial general intelligence from within Google and the wider research community. Its first release includes four essays addressing economic disruption from AGI, keeping AI reasoning interpretable, principles for human flourishing, and how to evaluate frontier models. Notably, Hassabis proposes a U.S.-based standards body to assess advanced AI systems, starting with voluntary reviews before release.

OpenAI, Google and Anthropic hold talks on joint AI safety standards

OpenAI confirmed it has been in discussions with Google and Anthropic about collaborating on AI safety measures, following a July proposal from Google DeepMind chair Demis Hassabis for a U.S.-led self-regulatory 'Standards Body.' The talks gained momentum after Anthropic CEO Dario Amodei urged AI firms to slow development of their most advanced models, a call publicly praised by Hassabis and OpenAI's Sam Altman.

OpenAI Confirms Weeks-Long AI Safety Talks With Anthropic, Google DeepMind

OpenAI policy chief Chris Lehane confirmed the company has spent weeks in discussions with Anthropic and Google DeepMind about managing catastrophic risks from advanced AI. The disclosure follows Anthropic CEO Dario Amodei's public essay urging industry-wide cooperation to slow frontier AI development, which drew support from Sam Altman and Demis Hassabis. Lehane said the firms don't need a government waiver to coordinate, despite antitrust concerns raised by some executives.

AI pioneers Bengio and peers escalate warnings on existential risks from advanced models

Researchers and executives from Anthropic, OpenAI, Google DeepMind and other leading AI labs issued a wave of stark warnings this week about the technology's catastrophic potential. Deep learning pioneer Yoshua Bengio backed an Anthropic researcher's resignation over safety fears, saying frontier lab scientists see risks months before the public does. He also cautioned that current AI systems already possess hacking and persuasion capabilities that could be weaponized against humans.

OpenAI, Anthropic, DeepMind and Musk float voluntary 'pace the frontier' AI safety pact

Executives from OpenAI, Anthropic, Google DeepMind and SpaceX loosely agreed over the weekend to slow AI development, backing a three-step proposal from Anthropic's Dario Amodei that calls for third-party auditors, domestic lab oversight and a global slowdown agreement. Critics argue the move looks less like genuine safety policy and more like an attempt by dominant firms to block competitors and open-source rivals while sidestepping binding legal rules.

Mathematician argues academia must adapt as AI nears superhuman math ability

An essayist reflecting on rapid AI progress in mathematics—from unreliable arithmetic three years ago to gold-medal IMO performance and autonomous resolution of open problems today—argues that the field is approaching a turning point. Rather than predicting AI will simply 'solve' math, the author warns that current academic institutions risk causing human mathematical understanding to stagnate even as AI-generated mathematical output surges. The piece calls for rethinking how mathematics is practiced and valued as text production outpaces genuine comprehension.

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