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Over a billion people now regularly use AI chatbots including ChatGPT with 700 million weekly users, as powerful models become cheaper and easier to access through improved interfaces and reduced costs. The cost per million tokens for running GPT-5 Nano dropped to roughly 14 cents compared to $50 for GPT-4, while within days of GPT-5's launch, the percentage of paying customers using Reasoner models increased from 7% to 24% and free users accessing top models grew from nearly zero to 7%. This shift toward Mass Intelligence means institutions built for scarce intelligence—schools, hospitals, courts, governments—must now adapt to a world where a billion people have access to AI capable of outperforming humans at intellectual tasks, creating both opportunities and novel challenges around trust, expertise, and societal impact.
OpenAI released gpt-realtime, an advanced speech-to-speech model with new API capabilities including MCP server support, image input, and SIP phone calling. The model enables direct audio conversation without requiring intermediate text transcription steps. These additions allow developers to build voice applications that integrate with existing phone systems and process visual information alongside speech.
OpenAI is launching a $50 million fund to provide grants to U.S. nonprofits adopting artificial intelligence in their operations. Applications will be accepted from September 8 through October 8, 2025, with funding available for organizations working in education, healthcare, research, and other sectors. Nonprofits that receive grants will gain access to capital and resources to integrate AI into their existing programs and expand their reach.
Nvidia’s Jensen Huang discussed building an “AI factory” and argued that AI progress will compress historical industrial timelines. 1712 is cited as the year of the first steam engine, compared with 1999 for the first GPU. The article frames AI as a fast “cognitive assembly line,” with specialization-led startups driving the shift across industries.
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