$2,000 for ChatGPT? 🤯

Will ChatGPT’s Price Hike Leave Users Behind?

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OpenAI might be hiking its ChatGPT subscription from $20 to a whopping $2,000 for access to next-gen AI models like "Strawberry." These new models aim to handle more complex tasks with human-like thinking. The price jump could help with their massive running costs (rumored to be $700k a day!). While it could boost finances, it might also mean only big companies can afford the most advanced AI features.

The iPhone 16 is making waves as Apple's first phone built around AI, promising smarter features like improved Siri and custom emojis. After years of minor upgrades, this shift to "Apple Intelligence" could be a game changer, setting Apple apart from competitors like Google and Samsung. With AI processed directly on the phone, hype is building, and Apple’s stock has already surged by 13% in anticipation of the launch.

YouTube is rolling out new tools to help creators and artists detect AI-generated deepfakes of their face or voice. These tools will allow creators to find and manage unauthorized use of their likeness in videos. The face-detection tech and voice identification system will launch as part of YouTube’s Content ID, starting with a pilot program early next year. YouTube aims to ensure AI enhances creativity, not replaces it.

Nvidia’s latest forecast didn’t quite hit the high marks everyone was expecting, causing a dip in AI chip stocks. Despite strong earnings and a hefty $50 billion share buyback, Nvidia’s cautious outlook on margins and revenue left investors wanting more. Still, confidence in the long-term AI story remains intact, even as the market reacts to a bit of a reality check.

Eitan Michael Azoff is predicting that AI could soon surpass human brains in terms of speed and capacity. His book, Towards Human-Level Artificial Intelligence, argues that cracking the brain's "neural code" is key to creating this super-smart AI. He also warns that we need strong safety measures, like a human-controlled "kill switch," to prevent misuse. Despite AI's rapid advancement, Azoff suggests that current models still need a lot of human input and that self-learning AI can actually degrade in quality.

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