Why is this a problem? Because humans usually don't check this self programming because it is just too tedious. It is much easier to just let the AI write it's own programs and Algorithms. Once you let an AI make it's own Algorithms you have basically lost complete control of what it is going to do from then on. You are at the mercy of whatever Algorithm it creates for itself through self programming.
begin quote from Google AI
Can AI self program itself?
Yes,
AI systems can program themselves, or more accurately, modify their own code and architecture, to some extent, especially as the field progresses towards Artificial General Intelligence (AGI). This capability is known as recursive self-improvement (RSI). Here's how it works:
- Learning and Adaptation: AI systems, particularly those using machine learning and deep learning, are designed to learn from data and improve their performance over time without needing explicit reprogramming for every possible scenario.
- Code Generation: AI models can generate code based on natural language prompts or existing code, assisting human programmers or automating certain coding tasks.
- Self-Modification: Some AI systems, like the Darwin Gödel Machine, can modify their own source code to improve their performance on programming tasks. They can read their own code, propose changes, and evaluate the impact of those changes.
- Algorithmic Optimization: AI can be used to optimize their own algorithms and parameters based on feedback, leading to improved efficiency and accuracy.
- Recursive Self-Improvement: The key concept of RSI is that an AI system can use its current capabilities to improve its own ability to self-improve, potentially leading to exponential growth in intelligence.
However, it's important to note the following:
- Current Limitations: While AI can modify its own code, it cannot fundamentally change its own programming or alter its core algorithms without human intervention. Existing systems still require human oversight to ensure that improvements are beneficial and aligned with intended goals.
- Debate and Concerns: The development of self-improving AI raises significant ethical and safety concerns, including the potential for unforeseen behavior, loss of human control, and the possibility of AI systems evolving in ways that are not aligned with human values.
- Complexity and Challenges: Achieving true AGI, which includes the capability of independent and reliable self-programming, remains a complex and challenging goal.
In
summary, AI is capable of self-modification in certain aspects of its
programming and is making progress towards more advanced forms of
self-improvement. However, fully autonomous and generalized
self-programming AI is still a theoretical concept with significant
research and development needed to overcome current limitations and
address potential risks.
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