The transition to using a neural network for Full Self Driving (FSD) at Tesla could potentially impact the roles of programmers who were previously working on FSD software. However, the exact outcome for these programmers is not certain and could vary based on several factors. Here are a few points to consider:

1. Shift in Responsibilities: With the shift to neural networks for FSD, the nature of programming and development work might change. Programmers who were previously focused on traditional software development aspects might need to adapt their skills to work with neural networks, machine learning, and related technologies.
2. New Skill Requirements: Neural networks and machine learning involve a different skill set than traditional programming. Programmers might need to learn new techniques, algorithms, and tools to effectively contribute to the development and improvement of FSD using neural networks.
3. Skill Transition: Tesla might offer training or opportunities for existing programmers to transition their skills to align with the new technology focus. This could involve reskilling or upskilling initiatives to ensure their workforce remains valuable and adaptable.
4. Potential Retraining: Instead of job loss, the company might choose to retrain programmers for roles related to machine learning, data analysis, algorithm development, or neural network engineering. This way, their expertise could be utilized in different areas of the organization.
5. New Opportunities: The transition to neural networks might create new roles or positions within Tesla. Programmers who show an aptitude for working with neural networks could potentially find opportunities in areas such as neural network architecture design, data processing, model training, testing, and more.
6. Company Strategy: Tesla’s approach to talent management and workforce development will influence the outcome. The company might value the experience and domain knowledge of its existing programmers, finding ways to leverage their expertise in the new context.
7. Collaborative Efforts: The shift to neural networks might require a multidisciplinary team approach. Programmers could collaborate with experts in machine learning, data science, robotics, and other fields to collectively achieve FSD goals.

Overall, while the introduction of neural networks for FSD might lead to changes in roles and responsibilities, it’s important to note that technological shifts often create new opportunities and avenues for growth. The final impact on Tesla programmers will depend on the company’s strategy, the adaptability of the workforce, and the specific direction the company takes in its transition to neural network-based FSD.

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