In-depth articles with more detailed investigations, interesting thought pieces, and more.
Nick Heer, writing on his blog Pixel Envy, analyzes a recent Wired article by AI critic Gary Marcus questioning the viability of generative AI. Marcus argues that generative AI systems are fundamentally flawed, describing them as “autocomplete on steroids” that cannot fact-check their own output. The critic points to OpenAI’s reported financial challenges and customer …
OpenAI appears to be following Visa’s business model to maintain market dominance in the artificial intelligence sector, according to an analysis by Taylor Lorenz in User Magazine. The company is actively pursuing regulatory influence and exclusive partnerships to secure its position, despite growing competition from tech giants. OpenAI’s revenue is projected to reach $100 billion …
Scientists are successfully using AI hallucinations as a tool for breakthrough research, reports William J. Broad in The New York Times. These computer-generated imaginings are helping researchers develop new proteins, design drugs, and advance medical treatments. Nobel Prize winner David Baker used AI hallucinations to create millions of new proteins not found in nature, leading …
Technology journalist Om Malik warns that AI platforms are fundamentally changing how people consume media content. In his recent article, Malik argues that AI’s ability to provide precise summaries and personalized responses threatens traditional media revenue streams. Unlike search engines, AI platforms like OpenAI and Claude deliver direct answers rather than directing traffic to publisher …
A significant wave of artificial intelligence advancements has emerged in the past month, marking a transformative period in AI development. According to technology researcher Ethan Mollick’s detailed analysis, multiple breakthrough technologies have fundamentally changed AI capabilities and accessibility. The number of high-performance AI models has increased dramatically, with six to ten GPT-4 class models now …
Masayoshi Son, founder of SoftBank Group Corp., is developing plans to enter the AI chip market with a projected $100 billion investment over the next four years. According to a report by Min Jeong Lee and Ian King for Bloomberg, Son aims to challenge Nvidia’s dominance in AI hardware. The initiative involves leveraging SoftBank’s 90% …
The 2024 U.S. presidential election outcome indicates a significant change in the country’s approach to artificial intelligence regulation and development. According to an analysis by Gary Grossman, Executive Vice President at Edelman and global lead of the Edelman AI Center of Excellence, the victory of President-elect Donald Trump marks a turn toward accelerationist policies in …
Large language models are hitting significant computational barriers when processing extensive texts, according to a detailed analysis by Timothy B. Lee published in Ars Technica. The fundamental issue lies in how these models process information: computational costs increase quadratically with input size. Current leading models like GPT-4o can handle about 200 pages of text, while …
Researchers at Hugging Face have demonstrated that small language models can outperform their larger counterparts using advanced test-time scaling methods. As reported by Ben Dickson for VentureBeat, a Llama 3 model with just 3 billion parameters matched the performance of its 70-billion-parameter version on complex mathematical tasks. The breakthrough relies on scaling “test-time compute,” which …
Anthropic researchers have discovered that AI language models can be easily manipulated through a simple automated process called Best-of-N Jailbreaking. According to an article published by Emanuel Maiberg at 404 Media, this method can bypass AI safety measures by using randomly altered text with varied capitalization and spelling. The technique achieved over 50% success rates …