OpenAI CEO Sam Altman is calling on US policymakers to take immediate action to prepare for the advent of advanced artificial intelligence, citing its rapid transition from theoretical concept to practical application in various industries. In a recent interview, Altman noted that AI systems are already performing tasks that previously required large teams of programmers, and predicted that newer models will enable scientists to make groundbreaking discoveries and individuals to accomplish tasks that would normally require entire teams. However, this shift is also visible in the cybersecurity sector, where AI is giving attackers an upper hand.
According to Charles Guillemet, CTO of Ledger, AI tools are reducing the cost and skill required to exploit software vulnerabilities, with tasks that once took months now being completed in seconds. The crypto industry suffered losses of over $1.4 billion last year, and Guillemet warns that this figure could continue to rise as developers increasingly rely on AI-generated code, which may introduce new flaws. To counter this, Guillemet advocates for stronger defenses, including mathematically verified code and hardware devices that store private keys offline.
Altman also highlighted the potential risks of AI in biosecurity, noting that it could enable more powerful cyberattacks and facilitate harmful biological research. He emphasized the need for coordination between government, tech firms, and security groups to address these threats, which could emerge within a year.
Altman framed OpenAI's policy proposals as a starting point for debate on how to manage systems that learn quickly and operate across multiple fields. He also stressed the importance of using AI to defend against potential attacks. On the topic of nationalizing OpenAI, Altman argued that it would hinder the US's ability to achieve 'superintelligence' before its rivals, and instead advocated for close collaboration between AI companies and the US government.
As the CEO of OpenAI, Altman has a financial stake in the sector's evolution, which may influence his perspective on the need for regulation and the role of private companies in managing emerging risks. Looking ahead, Altman predicts that AI will become a ubiquitous utility, like electricity, with the cost of basic intelligence decreasing and top systems remaining expensive. He envisions a future where individuals will have access to personal AI assistants, with costs varying depending on usage.
Ultimately, Altman emphasizes the importance of ensuring that those building AI are trustworthy and of high integrity.