Notable stories include the exploration of AI's limits regarding zero-shot intelligence, and the transformation of an iPhone into a microscope for analyzing blood cells. The significance of system prompting is emphasized in AI alignment. A study reveals multimodal AI models require vast datasets for minimal improvement in performance, questioning their zero-shot capabilities. Furthermore, historical analysis of censorship showcases its evolution from Soviet-era practices to advanced digital manipulation techniques relevant today.
System prompting is a powerful guardrail to help ensure the alignment of AI, but will it be able to withstand the test of time?
Discover how an iPhone was transformed into a powerful laboratory microscope for real-time blood cell analysis using machine learning, Bluetooth, and GRBL controller.
A study finds multimodal AI models like CLIP need exponential data for linear gains, raising questions about zero-shot generalization claims.
This essay traces the evolution of censorship from the Soviet-era suppression to modern, more sophisticated digital manipulation and deepfakes.
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