AI expert warns about manipulation through conversational agents

Computer scientist Louis Rosenberg warns that AI-powered conversational agents could soon become highly effective at manipulating humans. In an article published by VentureBeat, he explains how these agents will be able to analyze personalities and adapt their strategies in real-time to maximize influence. According to Rosenberg, the recent release of Deepseek-R1 has significantly reduced processing … Read more

Essay explores ethical implications of training AI on internet’s collective works

A comprehensive analysis examining the ethics of using the internet’s collected works to train large language models has been published by Robin Sloan, addressing fundamental questions about the morality and implications of this practice. The essay asks whether it is ethically acceptable to use humanity’s collective written works – what Sloan terms “Everything” – as … Read more

LangChain study reveals performance limits of AI agents

LangChain’s recent experiments show that single AI agents struggle when overloaded with multiple tasks and tools. According to research detailed by Emilia David in VentureBeat, the company tested various large language models, including Claude 3.5 Sonnet and GPT-4 variants, on email assistance and calendar scheduling tasks. The tests revealed that agents’ performance deteriorates significantly when … Read more

Companies hesitant to adopt AI agents despite vendor push

 Business leaders are showing reluctance to fully embrace AI agents, despite technology vendors’ enthusiasm for autonomous AI systems. According to Belle Lin’s report in The Wall Street Journal, while 61% of businesses are experimenting with AI agents, 21% aren’t using them at all. Major concerns include reliability issues and cybersecurity risks, with 29% of business … Read more

Opinion: Apple’s AI features suffer from poor user interface design

A new analysis proposes that Apple’s implementation of AI features lacks the company’s signature user-friendly design approach. In a detailed review for Macworld, tech journalist Jason Snell points out that while Apple is working to catch up in AI capabilities, the main issue lies in how these features are presented to users. The article highlights … Read more

Survey: 41 percent of employers plan AI-driven staff reductions by 2030

A new World Economic Forum survey reveals that 41% of employers worldwide expect to reduce their workforce due to AI automation by 2030. According to Matt Novak’s report, the study included 1,000 employers representing over 14 million workers across 22 industries. While employers anticipate staff reductions, they also predict a net job growth, with 170 … Read more

Anthropic study reveals AI’s current impact on jobs and tasks

Anthropic has released a comprehensive analysis showing how AI is being used across different occupations and tasks in the modern workforce. The study, based on millions of anonymized conversations with their AI assistant Claude, found that AI usage is currently highest in software development and technical writing. According to the research, about 36% of occupations … Read more

Analysis: Sam Altman’s bold predicitions

Tech journalist Carl Franzen shares his analysis of OpenAI CEO Sam Altman’s recent blog post and the company’s first Super Bowl advertisement. In his article for VentureBeat, Franzen views the combination of these two communications as revealing a stark vision for artificial intelligence’s future. While finding the $14 million Super Bowl ad relatively uncontroversial and … Read more

OpenAI CEO predicts dramatic AI cost reduction and societal impact

OpenAI CEO Sam Altman has outlined his vision for the future of artificial general intelligence (AGI) and its potential impact on society in a detailed blog post. The post, published on Altman’s personal blog, presents three key observations about AI economics and their implications for technological development. According to Altman, AI model costs are expected … Read more

Stanford researchers create AI reasoning model for under $50, challenging industry giants

Researchers from Stanford and the University of Washington have developed an AI model called s1 that rivals the capabilities of expensive commercial AI systems while costing less than $50 in computing resources to train. The model, which was created through a process called distillation using Google’s Gemini 2.0 Flash Thinking Experimental model, demonstrates similar performance … Read more