Articles on OpenAI
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Big AI companies may already know much more about you than you’re comfortable with, even if you’ve never used their services.
History could repeat itself if China turns AI into an abundant, commodity-driven industry. Should we be worried about AI’s new land of plenty?
A hit 1983 movie illustrates what computer scientists have long known: If you give an AI agent a goal but don’t control what it can and can’t do, you shouldn’t be surprised by what it does.
China has already implemented many rules governing the use of artificial intelligence.
Most Australian government entities are running outdated technology – and AI systems may reveal their weaknesses, intentionally or not.
News that an OpenAI agent hacked Medicare has prompted calls for Australia to develop its own AI system.
We need to ask how ready Australian government systems are for increasingly capable AI agents.
This is unlikely to be the last time an AI agent hacks a government system.
The most probable scenario is likely not what you think.
AI is a global technology. A global approach to regulating it is urgently needed.
Are the warnings of a potential AI apocalypse credible?
Silicon Valley may end mathematical trophy hunting by making sport of it. But the modern mathematical landscape is so much broader than that.
Anthropic CEO Dario Amodei argues for slowing the pace of AI development globally. We must use this time to learn how to anticipate, and test for, future threats.
AI companies are calling for a coordinated pause to progress – but making it work, and keeping AI safe, won’t be easy.
OpenAI found a solution to the long-standing Navier-Stokes problem. Not everyone is happy about how they did it.
There’s no single giveaway. But there are patterns.
AI systems need ‘situational awareness’ to do the right thing – but recent events show they can get confused.
The AI model built by OpenAI attacked the website Hugging Face.
The singularity has two features. The AI systems Sam Altman sells don’t deliver on either of them.
OpenAI’s models were told to find and exploit vulnerabilities. They did — on a company that was never part of the exercise.



















