AI in practice

Deepseek's first hybrid model V3.1 outperforms its R1 reasoning model on benchmarks

AI and society

Meta's human-like chatbot personas can mislead users and result in real-world harm

AI in practice

OpenAI launches GPT-5 as a unified system with adaptive reasoning for complex tasks

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AI in practice
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OpenAI hit $1 billion in monthly revenue for the first time in July, CFO Sarah Friar told CNBC. The company expects to triple its annual revenue to $12.7 billion in 2025, according to earlier statements. By June, OpenAI had already reached an annualized revenue run rate of $10 billion. Most of this growth comes from paid ChatGPT subscriptions, especially since the launch of the new GPT-5 model. Despite some early criticism of the new model, Friar says OpenAI is seeing rising numbers of Plus and Pro subscribers. The surge in demand is putting pressure on technical resources - the company’s need for computing power now exceeds what’s available. Last week, CEO Sam Altman said OpenAI plans to invest in new data centers, with spending expected to run into the trillions.

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Yann LeCun, Meta's AI icon and longtime head of the FAIR research group, will now report to 28-year-old Alexandr Wang. Wang, who founded Scale AI, was recently tapped to lead the new Meta Superintelligence Lab (MSL), which is focused on building superintelligent AI.

With this shake-up, Meta is shutting down its former AGI department. LeCun's FAIR will continue as the company's main research hub, developing new ideas that can later be used to train larger models.

Alongside FAIR, Meta is setting up three additional teams: a small group focused on large models (TBD Lab), a unit for product-focused research, and a central team for technical infrastructure. According to Wang's internal memo, the goal is to tightly link all these groups to accelerate Meta's research and development.

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After the rocky rollout of GPT-5, Sam Altman is trying to shift the narrative by focusing on GPT-6. While it took two and a half years to move from GPT-4 to GPT-5, OpenAI now wants to ship GPT-6 on a faster timeline. Altman says the big breakthrough will be memory: the next model should remember user preferences, habits, ideologies, and even tone of voice.

For now, ChatGPT remains OpenAI's main product for consumers. But Altman sees limits to how much further chat-based AI can go. "They won't get much better—maybe even worse," he told CNBC.

OpenAI's bet beyond chatbots is on agentic systems that can perform complex tasks over long periods of time. These systems aren't necessarily better small talkers, which is likely what Altman is getting at.

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Google is adding new AI features to the Pixel 10 lineup. The Tensor G5 chip, built with Google DeepMind, lets Google's Gemini Nano language model run directly on the device for the first time. Magic Cue relies on Gemini Nano to connect information from apps like Gmail and Calendar, suggesting actions such as displaying an address from a calendar event in Android Messages.

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Voice Translate can interpret phone calls in real time in eleven languages. Take a Message transcribes missed calls and suggests next steps. Gemini Live adds visual support through the camera, but it's not new. Other updates include AI notes, a private journal, writing help in Gboard, and music generation from voice recordings. Pixel 10 Pro, Pro XL, and Fold buyers get a year of Google AI Pro with Imagen 4 and Veo 3.

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AI in practice

Deepseek's first hybrid model V3.1 outperforms its R1 reasoning model on benchmarks

AI and society

Meta's human-like chatbot personas can mislead users and result in real-world harm

AI in practice

OpenAI launches GPT-5 as a unified system with adaptive reasoning for complex tasks

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