Limitations of the OpenAI o1 model

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However, ChatGPT Free users do not have access to o1 models at the time of the new product launch. OpenAI says it plans to make o1-mini available to all free users in the future.

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Since the o1 model is a new type of system, it requires some improvement. At the time of writing, the AI ​​has several limitations:

Gaps in features: For example, the o1 models do not yet have web browsing, image processing, or file upload capabilities.
API limitations : At launch, there are various API quirks that limit the model. Function calls and streaming are not supported out of the box. Access to chat termination options is also limited in the preview phase.
Response time. Users are already accustomed to generating fast responses with minimal delay from the system. But o1 models are inherently slower than previous models due to careful reasoning processes.
Query Limits: For ChatGPT Plus or Team users, OpenAI guatemala telegram data initially limited o1-preview usage to 30 messages per week, increasing to 50 messages per week for 01-mini. On September 16, 2024, OpenAI increased the limit for o1-preview to 50 messages per week and increased o1-mini to 50 messages per day.
Cost: For OpenAI API users, the o1 is more expensive than previous models, including GPT-4o.
o1 learned to lie?
The 2023 study showed that about 20% of respondent companies use artificial intelligence products in their work. The most popular areas for AI application are marketing and sales (66% of implementations), customer service (54%), research and development (49%), IT (31%).

The spread of neural networks makes people fear that their jobs will be taken over by an algorithm in the future. In addition, some experts suggest that the constant use of AI will lead to the degradation of people's creative abilities, making them passive. However, there is another point of view.

I don't think that AI, including o1, will take people's jobs. But I think there will be less competitiveness among specialists who, for some reason, will not use new technologies. Because with their skillful use, a specialist will get profit in the speed and quality of development. And if performance metrics grow, then your demand in the market will become more noticeable than that of those who write code or work like 20 years ago.