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OpenAI says most people still see artificial intelligence as little more than chatbots or advanced search, even as the underlying technology moves ahead quickly.

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In a recent blog post, the company claims that current AI systems can already solve problems that used to take experts hours—likely referring to recent achievements in math and coding olympiads. OpenAI anticipates modest AI-driven discoveries by 2026, with more significant breakthroughs expected by 2028.

A major factor, according to OpenAI, is the rapid decrease in computing costs. The company reports a 40-fold annual drop in the "price per intelligence unit." If this trend continues, tasks that once required weeks of human effort could soon be automated.

"We expect to have systems that can do tasks that take a person days or weeks soon; we do not know how to think about systems that can do tasks that would take a person centuries."

OpenAI

OpenAI concedes its own models are still "spikey"—sometimes impressive, but not yet reliable—and face "serious weaknesses." At the same time, the company notes that current systems "outperform the smartest humans" in certain domains.

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The blog post appears as concerns mount about a possible AI investment bubble, with companies taking on significant debt to build out infrastructure in hopes that today's promises will eventually be realized.

On safety, OpenAI calls for stronger public oversight, ongoing impact monitoring, and the development of a global "AI resilience ecosystem" modeled on cybersecurity to address the risks from more powerful models. The company emphasizes responsible development and encourages research labs to share safety research and adopt shared safety standards. Future superintelligent systems could pose catastrophic risks if deployed without proven safeguards, OpenAI warns.

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Matthias is the co-founder and publisher of THE DECODER, exploring how AI is fundamentally changing the relationship between humans and computers.
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