A new study from Apple reveals that large language models (LLMs) don’t reason logically but rely on pattern recognition. This finding, published by six AI researchers at Apple, challenges the common understanding of LLMs. The researchers discovered that even small changes, such as swapping names, can alter the models’ results by about 10%. Gary Marcus, …
In an article for The Atlantic, David Karpf critiques Sam Altman’s optimistic views on AI, particularly following OpenAI’s recent funding announcement, which values the company at $157 billion despite its significant financial losses. Altman’s manifesto, “The Intelligence Age,” predicts transformative advancements through AI, including solving climate issues and achieving superintelligence. However, the author argues that …
An article by Kyle Chayka for The New Yorker discusses the growing concern among social media users about AI using their personal data. Many Instagram users recently shared a message attempting to opt out of AI data usage, but simply posting this message does not change their legal rights. To effectively protect their data, users …
Y Combinator faces criticism for backing AI startup PearAI that copied an existing open-source project and released it under a more restrictive license. As reported by Julie Bort, PearAI founder Duke Pan admitted to cloning the code from the Continue project. The issue arose when PearAI initially used its own license, created with ChatGPT, and …
E-learning platform Udemy has given course instructors only a three-week window to opt out of their AI training program, which has now expired. As Jason Koebler of 404 Media reports, the over 250,000 courses were automatically approved for AI training unless instructors actively objected. Many instructors criticize the approach as non-transparent and unfair. Udemy justifies …
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, …
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 …
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 …
Stephen Fry warns about the dangers and challenges of artificial intelligence. In a speech at King’s College London, he compares the development of AI to a slowly but steadily rising river that will fundamentally change our lives. The author and actor emphasizes that we can hardly foresee the impact of this technology. Fry calls for …
Rodney Brooks, a renowned robotics expert at MIT, cautions against overestimating generative AI. Although he sees great potential in the technology, he cautions against attributing to it capabilities that it does not possess. Brooks criticizes the fact that people often overgeneralize the capabilities of AI systems, forgetting that AI is not human and therefore cannot …