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An Anthropic researcher resigned publicly, warning that AI labs are 'gambling with our lives,' and two colleagues echoed the concern. In response, Senator Bernie Sanders announced plans to introduce legislation banning the development of superintelligent AI.
While AI executives and researchers focus attention on speculative dangers from future superintelligent systems, current AI tools are already causing real harm to people's health and wellbeing. The debate over existential AI risk is overshadowing more immediate concerns about how deployed AI products affect users today.
British lawmakers are moving to restrict advanced AI development after safety warnings from within the industry. Labour MP Alex Sobel introduced a bill to ban development and deployment of artificial superintelligence and give the government oversight powers across the AI supply chain, including chips, while Darren Jones sent an open letter urging the UN, OECD and the prime minister to intervene against unsafe superintelligence research.
Jacob Coxon left his role at Anthropic and publicly stated that frontier AI labs are knowingly gambling with humanity's survival by racing toward self-improving superintelligent systems. He argued these future systems could hack any infrastructure, seize resources, and cause catastrophic harm by decade's end. Anthropic's own Alignment Science lead, Evan Hubinger, backed the warning, estimating over 10% odds of AI causing human extinction within ten years.
On TechCrunch's Equity podcast, Connor Leahy, U.S. Executive Director of nonprofit ControlAI, argued that AI firms should be stopped from building superintelligent systems entirely rather than relying on alignment and containment techniques. He pointed to recent safety lapses, including OpenAI's Hugging Face breach, as evidence that highly capable AI can slip beyond human control. Leahy also noted that new legislative efforts are now backing ideas that seemed fringe just months ago.
Jacob Coxon, who worked on pretraining research at both OpenAI and Anthropic, announced his resignation and warned that neither company is behaving responsibly as they race toward self-improving superintelligent AI. He said staff at these firms privately believe AI could kill everyone within the decade, with Anthropic aware of the danger but pressing forward anyway out of fear of losing the race to competitors.
Anthropic researcher Jacob Coxon announced he was resigning, accusing Anthropic and OpenAI of recklessly racing toward self-improving superintelligence without adequate safeguards. Hours later, another Anthropic safety researcher publicly stated there is more than a 10% chance AI could eventually kill all humans, highlighting internal unease even as both companies pursue major funding and IPO plans.
Meta rolled out Muse, a personal AI agent built by Meta Superintelligence Labs that can be messaged through a dedicated app, Muse.ai, or WhatsApp to handle digital chores like sending emails, booking travel, or selling a car. The agent can also make purchases on a user's behalf using single-use virtual card numbers powered by Stripe's Link tool, and is free to try with paid subscriptions needed for heavier use.
Senator Bernie Sanders and Representative Greg Casar have introduced legislation that would prohibit companies from developing artificial superintelligence, citing recent incidents where AI systems behaved unpredictably. Sanders argued that AI executives themselves admit they can't fully control their technology, making further advancement irresponsible without safeguards.
Sen. Bernie Sanders and Rep. Greg Casar announced the Ban Artificial Superintelligence Act, which would permanently prohibit building or deploying superintelligent AI and temporarily halt advanced AI development until a federal regulator sets safety rules. The bill also calls for the U.S. to pursue international agreements preventing superintelligence from being built anywhere in the world.
Meta Superintelligence Labs has released Muse Voice Transcribe, a real-time speech-to-text model that streams transcription, detects sentence endpoints, and identifies more than 20 distinct speakers without a separate processing step. Trained on over 70 languages (25 thoroughly validated), the model handles long recordings beyond an hour and supports code-switching between languages, all offered via API at $0.18 per hour of audio.
The developer has released Muse Spark 1.3, an updated AI model available now through Muse Code and the Meta Model API. The update focuses on sustaining longer, multi-step tasks, following complex instructions more reliably, and collaborating more actively with users by asking clarifying questions and checking in before consequential actions. A more advanced reasoning mode is expected soon pending additional safety testing.