Summary Production AI systems are really hard - by Kevin Fischer methexis.substack.com
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One Line
Developing production AI systems is challenging, particularly in the healthcare industry, and requires a deep understanding of complex job requirements and careful consideration of the relationship between humans and machines.
Key Points
- AI systems are complex and challenging to develop, especially in the healthcare industry.
- Existing language model frameworks could be used to create an app for recording patient data, improving efficiency and protecting against malpractice claims.
- Learning techniques and data collection are still challenges to overcome in AI development.
- Grounded brain models and unique hospital data make automating radiologists' jobs not a viable solution.
- The relationship between humans and machines in AI development requires careful consideration.
Summary
247 word summary
Production AI systems are complex and difficult to implement. Medical professionals could benefit from using existing language model frameworks to create an app for recording patient data, which could improve efficiency and protect against malpractice claims. However, there are still many challenges to overcome in terms of learning techniques and data collection. It is important to recognize that even the most advanced AI systems are not capable of destroying society on their own, and the small details of implementation are key to creating value. Production AI systems are challenging due to the immense domain knowledge required for each application. The healthcare industry, in particular, presents numerous obstacles, such as the need to avoid harm to patients and the unique nature of each hospital's data. Automating radiologists' jobs is not a viable solution because they have a grounded brain model and use a whole host of grounded models for making determinations. Geoffrey Hinton's prediction about the decline of radiology was based on a narrow task and should not be taken seriously. Building AI systems requires understanding the complexities of each job, and reducing them to a handful of tasks is absurd. Production AI systems are difficult to develop. The author of the article, Kevin Fischer, emphasizes that even though AI technology is advancing, it is unlikely that AGI (artificial general intelligence) will take over every social system. The relationship between humans and machines is complex and requires careful consideration during development. Methexis offers more content on the topic.