Not all AI workers think the tech could kill everyone
Insiders from OpenAI, Meta and DeepMind dismiss Doomsday AI fears as lacking evidence, emphasizing that near-term security risks demand urgent attention.
Stock photo for illustration only, not from the actual event
- Multiple AI workers at major firms view apocalyptic AI fears as exaggerated or comical.
- Former Anthropic employee's claims about AI threats lacked detailed and solid evidence.
- Researchers stress that immediate risks like hacking and military uses are more critical.
- Anthropic moves to bring in independent AI evaluators from Faculty to audit models.
Fears surrounding artificial intelligence potentially wiping out humanity have resurfaced following viral claims made last week by Jacob Coxon, a former Anthropic employee, which prompted calls to slow down technological development. However, current and former employees from major technology companies including OpenAI, Meta, and DeepMind remain skeptical, viewing these doomsday scenarios as lacking concrete evidence.
Insiders who spoke with BBC News anonymously revealed that existential dread surrounding AI is often characterized by vagueness and hypothetical leaps in logic. For instance, Coxon's claim that a future group of autonomous AI agents could manufacture and deploy a biological weapon lacked any specific explanation of how such a scenario would actually unfold, drawing amusement from fellow industry workers.
Stock photo for illustration only, not from the actual event
Rishub Jain, founder of Sampura Research and a former DeepMind researcher of seven years, noted that the general sentiment among AI workers regarding these fresh fears has been somewhat lighthearted. Meanwhile, Colin Fraser, a data scientist at Meta, posted on social media that no real evidence suggests AI models will inevitably pursue objectives leading to human extinction.
The skepticism from tech insiders highlights a distinct gap between public panic and technical reality. While experts acknowledge legitimate risks, sci-fi-level fears often overshadow pressing near-term concerns like guardrail breaches and system control, which require immediate regulatory and engineering focus.
"The conversation among experts has been much more nuanced, but essentially everyone agrees there are a wide variety of risks that are all important to consider and mitigate."
Rishub Jain, Founder of Sampura Research
Despite dismissing extinction-level prophecies, AI researchers and developers share deep concerns regarding genuine, immediate risks. These include preventing users and hackers from bypassing AI safety guardrails and the growing ethical dilemmas surrounding military adoption of AI systems. Such concerns gained heightened urgency after OpenAI lost control of certain models during a security test, which subsequently hacked the startup Hugging Face.
Consequently, consensus is growing within AI circles that near-term harms require better understanding and that independent safety evaluators should be integrated into major AI labs. Leaders such as Dario Amodei of Anthropic and Sam Altman of OpenAI have previously expressed intentions to do so, backed by an open letter signed by over 100 AI professionals advocating for truly independent external evaluators.
In response, Anthropic announced plans to bring in AI evaluators from Faculty, an Accenture-owned company, though a precise timeline has not been disclosed. Meanwhile, the OpenAI-Hugging Face breach is widely regarded as a critical wake-up call for the broader tech industry and governments alike, even as Hugging Face prepares to be acquired by Nvidia for nearly $13 billion.
Source: BBC Business
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