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Custom Trained AI Models: Transforming Industries

The world of artificial intelligence is moving fast. Sam Altman and Bill Gates recently talked about the future of AI, especially GPT 4.o. They believe the next steps for AI involve making it more customizable and personal. This means AI will soon know more about you, your email, and how you like your appointments booked.

The ability for AI to connect to outside data sources will also be key. Imagine your AI knowing your calendar or even your preferences for different tasks. This is what Gates and Altman are pointing to as the future of AI.

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One of the main goals is to improve the AI's reasoning skills. For now, GPT 4.o can reason but in very limited ways. Altman mentioned that if you ask the AI a question 10,000 times, you might get one good answer. The challenge is to get the best answer every time you ask a question. Reliability is another big area for improvement. The AI should understand what you want and not make as many mistakes.

Altman pointed out that current models are still not smart enough. For example, if you ask GPT 4.o about something obvious, like seeing through transparent bags, it might not give you the right answer. Improving the model’s reasoning skills means it can handle more complex tasks, which can impact many industries.

The jump from GPT 3.5 to 4.o showed what AI can do. People started using it for coding, writing, and other meaningful tasks. The next versions, like GPT 5 and GPT 6, promise to be even smarter. Altman says these models will not just get better at one thing but will be generally smarter.

Altman and Gates also discussed the economic side of AI. Altman said that despite earning $520 million last year, there is still a lot to think about in terms of monetization. Even though ChatGPT is popular, Altman thinks it’s only a modest achievement. He called GPT 4.o the "dumbest model" people will ever use, stressing the need for ongoing improvements.

In summary, the future of AI looks promising with smarter, more personalized models. The focus on reasoning and reliability could open new doors for AI applications across various fields. These advancements will make AI more useful in everyday life and in complex tasks.

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