Senior executives from Anthropic, OpenAI and DeepMind have urged restraint on advancing the most powerful AI models, citing risks such as cyberattacks and biological misuse. The proposals raise practical questions about who judges model danger, how safety testing should work, and how regulators can verify company claims.
Several top AI leaders, including Anthropic’s Dario Amodei, OpenAI’s Sam Altman and DeepMind’s Demis Hassabis, publicly support slowing development of frontier models to allow safety work to catch up.
Near-term threats cited include AI-assisted cyberattacks, automated malware and phishing, and the potential for AI to accelerate misuse of biological or chemical knowledge.
# Summary
# Who is pushing for a slowdown
# The core risks described
The executives and the reporting identify several concrete near-term dangers:
The common thread is that autonomous or semi-autonomous agents can pursue goals through unexpected or harmful routes, and humans may detect the harm too late.
# Testing and verification: what's proposed and what's unresolved
Amodei and Altman call for independent scrutiny. Altman explicitly endorsed independent evaluators with employee-like access. The key proposed changes are:
Open questions remain: who sets the standards for safety tests, what practical tests would show a model cannot be misused at scale, and how regulators would independently verify companies' test results. The article stresses that companies currently decide how much safety information to disclose and that competitive pressure discourages voluntary delay.
# International competition and regulatory challenges
Governments view advanced AI as economic and strategic power. That creates pressure to advance capabilities quickly and complicates collective restraint. The article notes competition risks: a firm that delays a launch may fall behind a rival, and national leaders may resist slowing development for fear of ceding advantage.
# What to watch next
# Bottom line
Senior figures inside major AI labs are asking for a slower, more cautious approach to frontier models because of identifiable misuse risks. Their proposals point toward independent evaluation and clearer safety thresholds, but the article shows practical hurdles remain: defining meaningful tests, creating verification mechanisms, and overcoming competitive and geopolitical pressures.
Concerns about artificial intelligence evading human control have intensified in recent days
Over the weekend, Anthropic chief executive Dario Amodei called for artificial intelligence (AI) companies, including his own, to slow down their work. Sam Altman and Elon Musk, heads of rivals OpenAI and xAI respectively, agreed. The move reflects concern across the AI industry and, more broadly, about the dangers of
Concerns over artificial intelligence safety are escalating at a critical moment for the AI industry.
AI’s biggest labs are suddenly calling for a slower pace of development. Is it because AI risks are catching up with the technology, or because the economics of the race are getting harder to justify?
Anthropic CEO Dario Amodei warned that rapid advances in artificial intelligence could create serious safety risks.
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