In-depth articles with more detailed investigations, interesting thought pieces, and more.
Gary Marcus, a prominent AI expert, argues that pure scaling of AI systems without fundamental architectural changes is reaching a point of diminishing returns. He cites recent comments from venture capitalist Marc Andreesen and editor Amir Efrati confirming that improvements in large language models (LLMs) are slowing down, despite increasing computational resources. Marcus warns that …
Two recent studies provide the first empirical evidence that having AI models debate each other can help a human or machine judge discern the truth, reports Nash Weerasekera for Quanta Magazine. The approach, first proposed in 2018, involves two expert language models presenting arguments on a given question to a less-informed judge, who then decides …
Geoffrey Hinton, Jensen Huang, and Fei-Fei Li were instrumental in launching the deep learning revolution, despite facing skepticism from colleagues, Timothy B. Lee writes. Hinton spent decades promoting neural networks and developed the backpropagation algorithm for training them efficiently, as detailed in Cade Metz’s book “Genius Makers.” Huang, CEO of Nvidia, recognized the potential of …
Google subsidiary DeepMind has introduced SynthID-Text, a system for watermarking text generated by large language models (LLMs). By subtly altering word probabilities during text generation, SynthID-Text embeds a detectable statistical signature without degrading the quality, accuracy, or speed of the output, as described by Pushmeet Kohli and colleagues in the journal Nature. While not foolproof, …
Generative AI is blurring the distinction between content and data, argues Robert Rose in an article for the Content Marketing Institute. As AI gains prevalence, companies will need people in new roles to guide how AI-generated insights are transformed into meaningful value rather than settling for “good enough” AI-produced content. Rose asserts that while AI …
In an experiment, journalist Kashmir Hill let AI chatbots and tools make daily decisions for her for one week, as described in The New York Times. The generative AI systems saved time by quickly offering advice on meals, clothing, activities, and more, but their choices seemed to favor blandness and statistical averages over individuality. While …
Robert Zemeckis’ new film “Here”, starring Tom Hanks and Robin Wright, uses artificial intelligence to depict the main characters at various ages from 18 to 80. AI-powered visual effects company Metaphysic created digital masks of the actors that could be applied to their faces in real-time during filming, enabling the filmmakers to see the de-aging …
AI startup Anthropic, known for their Assistant Claude, is urging governments to take action on AI policy within the next 18 months to mitigate the growing risks posed by increasingly powerful AI systems. In a post on their official website, the company argues that narrowly-targeted regulation can help realize the benefits of AI while preventing …
Amazon, Microsoft, Meta, and Alphabet are set to spend a combined total exceeding $200 billion in 2024 to develop artificial intelligence, a record amount according to a Bloomberg report by Mark Bergen and Lynn Doan. Despite delivering mixed financial results, the companies plan to invest even more next year to secure high-end chips and build …
AI search tools that summarize information from across the web could replace traditional search engines, potentially disrupting the digital economy. According to an article by Benjamin Brooks, a fellow at the Berkman Klein Center at Harvard, AI search poses a threat to content creators by diverting web traffic away from the original sources. Brooks argues …