[NetAddicted]

AI ain’t woke. It is computer programming accessing large databases. AI programmed by woke programmers is dangerous.

[Georgia Girl 2]

AI lives matter. 🙄

[rxh4n1]

“AI ain’t woke. It is computer programming accessing large databases. AI programmed by woke programmers is dangerous.”

You got it. It’s only as good as the coders writing the subroutines. Think Kumar and Hang Lo in Asian sweatshop coding farms. Not your best and brightest programmers. I’m sure if enough of them get their code in there, their biases will show up eventually.

[RoosterRedux]

Here's what Claude.ai says about your comment:

The statement "[AI] is nothing more than computer programming accessing large databases" is an oversimplification (at best) that doesn't capture the full complexity and potential of AI systems. Here are a few key ways in which AI goes beyond simple programming and data access:

• Machine Learning and Self-Modification:

  Many advanced AI systems, particularly those using deep learning or reinforcement learning, have the ability to modify their own internal structure and parameters based on their experiences and the data they encounter. In essence, they can "program" themselves to improve their performance over time, without requiring explicit instructions from human programmers. This self-modification is a crucial aspect of AI that distinguishes it from traditional software.

• Emergent Behavior:

  In complex AI systems, such as neural networks with many layers and interconnections, the overall behavior and capabilities of the system can emerge from the interactions of its components in ways that were not explicitly programmed. This emergent intelligence is a product of the system's architecture and learning process, rather than a direct result of its programming.

• Algorithm Generation:

  Some AI systems, particularly in the field of automated machine learning (AutoML), can actually generate and optimize their own algorithms for a given task. Rather than relying on pre-defined algorithms designed by human programmers, these systems can explore a vast space of possible algorithms and find the ones that work best for their specific problem and data. This represents a higher level of autonomy and adaptability than traditional programming.

• Open-Ended Learning:

  Cutting-edge AI systems, like those used in artificial general intelligence (AGI) research, are designed to learn and adapt in open-ended environments without a fixed goal or task. They can acquire new knowledge, skills, and strategies through exploration and interaction, in a way that is not limited by their initial programming or training data.

These examples demonstrate that AI has the potential to go far beyond simple programming and database access, and can exhibit forms of intelligence, creativity, and autonomy that approach or even surpass human capabilities in some domains. As AI continues to advance, we can expect to see more systems that blur the line between programmed behavior and genuine intelligence, and that challenge our assumptions about what machines can do.