Education helps counter AI hype

In their new book “AI Snake Oil,” two Princeton researchers warn against exaggerated expectations of artificial intelligence. Arvind Narayanan and Sayash Kapoor criticize companies, scientists, and journalists for making misleading claims about AI. The authors emphasize the need for better education about AI to demystify the technology. They divide AI into two subcategories: predictive AI, …

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Is math the key to reliable AI answers?

Researchers are working on new AI systems that can check their own mathematical answers. This is reported by Cade Metz in the New York Times. The technology is meant to prevent chatbots like ChatGPT from providing incorrect information. Instead, the new systems can generate mathematical evidence to verify their answers. Silicon Valley startup Harmonic, for …

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The invisible billion-dollar market for training AI

Alexandr Wang, the 27-year-old founder of Scale AI, has built a billion-dollar company that is laying the groundwork for modern AI development. As Berber Jin reports in an article for the Wall Street Journal, Scale AI employs more than 100,000 contractors worldwide who write text and label images to train chatbots and other AI systems. …

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LinkedIn delivers arguments for tighter AI regulation

LinkedIn uses user data for its own AI training without prior consent. However, the social network has suspended this practice in the EU, EEA, Switzerland and the UK. As Chiara Castro writes for TechRadar, this case shows the importance of strong EU-style privacy laws. Meta and X (Twitter) had also previously tried to use European …

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Why researchers are betting on local AI

Researchers are apparently increasingly using small AI models on their own computers instead of the offerings of large AI services like ChatGPT. As Nature reports, freely available tools such as Llama or Phi-3 allow scientists to run AI models locally. This offers advantages: cost savings, data protection, and reproducibility. The local AI models are becoming …

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2025 will be “the year of generative AI”

Generative AI will fundamentally change businesses in 2025, according to DataStax CEO Chet Kapoor. In an interview with VentureBeat, Kapoor explains that the current challenges in implementing AI are a normal part of technology revolutions. He compares the situation to previous disruptions such as the web, mobile, and cloud. Kapoor sees 2024 as the year …

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OpenAI’s planned rebrand faces internal opposition

OpenAI is apparently planning a radical change to its logo. According to Fortune, employees were presented with a new design in a company-wide meeting: a large black ring or the number zero. The logo was met with disapproval by many employees, who found it grim and uncreative. The redesign began about a year ago and …

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The business of reanimating dead celebreties with AI

AI is enabling new careers for deceased celebrities and millions in revenue for today’s rights holders. According to a report by Mia Dawkins for Bloomberg, the estates of stars such as James Dean, Judy Garland and others can continue to make money thanks to AI technology. For example, these celebrities are lending their voices to …

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When the hype machine runs, user rights and ethics fall by the wayside

The technology industry is blindly rushing into questionable trends such as generative AI and blockchain, security expert Soatok argues in a blog post. He observes that more and more companies are adopting these technologies without considering the interests of users or ethical concerns. Soatok gives specific examples: WordPress forces AI-generated images on paying customers, Snapchat …

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Humans as “AI conductors”

Artificial intelligence is becoming more integrated into our daily lives, raising the question of whether we are enhancing our capabilities or outsourcing our thinking. Gary Grossman, EVP of Technology at Edelman, shares his experience as an early adopter of AI tools such as ChatGPT and DALL-E. He describes how these technologies have enhanced his productivity …

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