What mathematicians call ‘disordered collections’ can help engineers explore real-world worst-case scenarios. The simple card game Set illustrates how to predict internet and electrical grid failures.
People have been battling tuberculosis for thousands of years, and drug-resistant strains are on the rise. Analyzing large datasets with AI can help humanity gain a crucial edge over the disease.
AI systems with deceptive capabilities could be misused in numerous ways by bad actors. Or, they may become prone to behaving in ways their creators never intended.
Media articles and influencers have helped give the impression that prompt engineering could be a ticket to a six-figure salary. The reality, as always, is a different story.
Snapchat’s AI-powered chatbot malfunctioned this week, raising questions of “sentience” among users. As AI becomes increasingly human-like, society must become AI-literate.
Large language models have been shown to ‘hallucinate’ entirely false information, but aren’t humans guilty of the same thing? So what’s the difference between both?
I study artificial general intelligence, and I believe the ongoing fearmongering is at least partially attributable to large AI developers’ financial interests.
if a machine can ascribe intent to the events and experiences befalling it, this raises the question of identity and what it means to be aware of oneself and others