Plus The “First AI Software Engineer’ Fails Miserably (subscribe in the links below)

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Controversy Surrounds "First AI Software Engineer"

Cognition's AI, Devin, touted as "the first AI software engineer," is under scrutiny after claims of its capabilities in solving engineering tasks were debunked. A recent analysis by the YouTube channel Internet of Bugs revealed that Devin failed to understand a critical engineering problem posted on Upwork, due to incomplete information provided to it. Moreover, the task Devin completed was shown to be specifically selected and not as complex as claimed. This has raised doubts about AI's practical utility in real-world applications, suggesting that human engineers may not yet need to worry about their job security.

First AI Beauty Pageant: Judging Virtual Perfection

The world's first AI beauty pageant, dubbed "Miss AI," is set to assess AI-generated models not only on their digital allure but also on the creativity behind their creation and their social media influence. Organized by the World AI Creator Awards, the event will award the winner with $5,000, promotional opportunities, and PR support. Judged by a mix of human and AI experts, the competition highlights the increasing intersection of technology and cultural expression, focusing on the artistry of AI creations rather than traditional beauty standards.

AI Tracks Remote Workers for Tax Purposes in New York

New York is utilizing AI technology to track down remote workers who have relocated to states with lower taxes. This move aims to ensure that these workers, particularly the wealthier ones, fulfill their tax obligations to the state. The initiative reflects a growing trend of leveraging advanced technologies to enhance state tax enforcement efforts.

AI-ese Emerges from Outsourced Labor in Africa

The language and style of AI responses, coined "AI-ese," are evolving distinctly, influenced heavily by the outsourced labor used to train these systems, particularly from Africa. Workers in regions like Nigeria, where certain English expressions such as "delve" are more common, inadvertently shape language models like GPT-4 by providing feedback and training data. This phenomenon highlights not only the globalization of AI development but also raises questions about cultural influence and the nuances of language in artificial intelligence.