EU countries give crucial nod to first-of-a-kind Artificial Intelligence law
The ambassadors of the 27 countries of the European Union unanimously adopted the world’s first comprehensive rulebook for Artificial Intelligence, rubber-stamping the political agreement that was reached in December.
Microsoft’s legal department allegedly silenced an engineer who raised concerns about DALL-E 3
A Microsoft manager claims OpenAI’s DALL-E 3 has security vulnerabilities that could allow users to generate violent or explicit images. The company’s legal team reportedly blocked Microsoft engineering leader Shane Jones’ attempts to alert the public about the exploit.
AI’s Achilles Heel: New Research Pinpoints Fundamental Weaknesses
Researchers from the University of Copenhagen have become the first in the world to mathematically prove that, beyond simple problems, it is impossible to develop algorithms for AI that will always be stable. ChatGPT and similar machine learning-based technologies are on the rise. However, even the
Trystan S. Goetze, AI Art is Theft: Labour, Extraction, and Exploitation, Or, On the Dangers of Stochastic Pollocks - PhilPapers
Since the launch of applications such as DALL-E, Midjourney, and Stable Diffusion, generative artificial intelligence has been controversial as a tool for creating artwork. While some have presented longtermist worries about ...
A Shocking Amount of the Web is Machine Translated: Insights from Multi-Way Parallelism
We show that content on the web is often translated into many languages, and the low quality of these multi-way translations indicates they were likely created using Machine Translation (MT). Multi-way parallel, machine generated content not only dominates the translations in lower resource languages; it also constitutes a large fraction of the total web content in those languages. We also find evidence of a selection bias in the type of content which is translated into many languages, consistent with low quality English content being translated en masse into many lower resource languages, via MT. Our work raises serious concerns about training models such as multilingual large language models on both monolingual and bilingual data scraped from the web.