ChatGPT dominates $2 billion mobile AI app market

Mobile AI applications have become a significant revenue source, with ChatGPT leading the market. According to a new report by Appfigures, analyzed by Bloomberg’s Vlad Savov, OpenAI’s chatbot has generated $529 million since its mobile launch in May. The total AI app market nearly quadrupled in 2024, reaching $1.4 billion in revenue. US consumers drive …

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OpenAI challenges DeepSeek over AI model development practices

OpenAI and Microsoft are investigating whether Chinese AI startup DeepSeek improperly used OpenAI’s technology to develop its new R1 language model. According to reports from Bloomberg and the Financial Times, the companies are probing whether DeepSeek obtained data output from OpenAI’s technology in an unauthorized manner. David Sacks, a venture capitalist and Trump administration member, …

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Former OpenAI researcher warns about dangerous pace of AI development

Steven Adler, a former safety researcher at OpenAI, has expressed serious concerns about the rapid advancement of artificial intelligence technology. In a recent series of posts on X (formerly Twitter), as reported by Dan Milmo in The Guardian, Adler described the current pace of AI development as “terrifying” and questioned humanity’s long-term survival prospects. During …

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New research reveals 15 methods to bypass AI safety controls

Researchers have identified 15 sophisticated techniques that can be used to circumvent safety measures in large language models (LLMs), raising concerns about AI security. Security researcher Nir Diamant detailed these findings in a comprehensive analysis that examines various methods attackers use to make AI models ignore their safety training. The research highlights several major attack …

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DeepSeek-R1 brings significant cost reduction for Enterprise AI

DeepSeek’s new AI reasoning model R1 could substantially reduce the costs of developing AI applications. According to an analysis by Ben Dickson in VentureBeat, DeepSeek-R1 offers similar capabilities to leading models at a fraction of the price. The model costs $2.19 per million output tokens, compared to OpenAI’s o1 at $60 per million tokens. When …

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Content visibility becomes crucial as AI adoption grows

A new analysis by Robert Rose highlights how the widespread adoption of generative AI is making content planning transparency more critical than ever. In an article published by the Content Marketing Institute, he explains that while AI promises to speed up content creation, it often amplifies existing challenges in content management. According to Forrester research …

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AI-generated content becomes increasingly hard to detect

Ben Congdon writes that AI generated content, which he calls “AI slop,” has become increasingly difficult to identify. In a detailed blog post on his personal website, Congdon describes how he developed an involuntary reflex for spotting AI-written text. He notes that while early GPT-3 content was easily detectable, recent AI outputs have become significantly …

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Analysis: DeepSeek R1’s breakthrough in cost and performance

DeepSeek, a Chinese AI company, has disrupted the artificial intelligence landscape with its newly released R1 model, which matches the performance of OpenAI’s o1 at approximately 3-5% of the cost. The model, launched on January 20, 2025, has quickly become the most downloaded AI model on HuggingFace with over 109,000 downloads, demonstrating significant developer interest. …

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Chinese AI startup DeepSeek challenges industry giants with open-source model

DeepSeek, a Chinese artificial intelligence company, has gained significant attention in the tech industry with the release of its DeepSeek-R1 language model. The model, developed by hedge fund manager Liang Wenfeng’s team, reportedly matches the performance of OpenAI’s leading model while being trained at a fraction of the cost – approximately $5.6 million using 2,048 …

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Opinion: Software industry will adapt and grow with AI

A comprehensive analysis published by software developer and tech blogger Dustin Ewers argues that artificial intelligence will transform rather than eliminate software development jobs. In his detailed blog post, Ewers challenges recent claims about AI threatening the software industry’s future, presenting economic principles and practical considerations to support his position. The author points to several …

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