AI and producing consciousness

TL;DR

Despite advances in AI, computers lack consciousness as it's not objectively measurable like intelligence.

Transcript

now what about AI artificial intelligence I have something to say about this because it it's a topic very close to me I I also have a doctorate in computer engineering computer science and I did work with AI even when I was at CERN and back in the day the theory of AI in the 90s was largely the same as today the only difference is that we have fast... Read More

Key Insights

• ❓ AI theory evolution parallels computational advancements.
• 🖤 Artificial neural networks displayed problem-solving intelligence but lacked consciousness.
• 👨‍🔬 Confusion arises from equating computation with consciousness in AI research.
• ⚾ Nature indicates consciousness in specific mediums like warm, moist, carbon-based organisms.
• 🍧 Analytic idealism does not support claims of silicon computers having consciousness.
• 🛟 Simulation does not imply real-life attributes, highlighting misconceptions in AI consciousness.
• ❓ Theoretical understanding of consciousness differs fundamentally from computational concepts.

Questions & Answers

Q: What is the fundamental difference between intelligence and consciousness in the context of AI?

Intelligence is objectively measurable and can be observed in the system's responses to challenges, while consciousness is not empirically quantifiable or observable in external systems like computers.

Q: Why do some researchers believe that artificial intelligence equates to consciousness in computers?

The conflation arises from a misunderstanding of computation as independent of medium, unlike consciousness, which is inherently tied to specific biological mediums like warm, moist, carbon-based organisms.

Q: How does the speaker differentiate between everything being in Consciousness and everything being conscious itself?

The distinction lies in acknowledging that everything exists within Consciousness but not everything possesses independent consciousness, highlighting the limitations of attributing consciousness to everything, including silicon-based computers.

Q: Why does the speaker argue against AI researchers assuming consciousness in computers based on computational simulations?

The speaker asserts that simulating functions, like kidney activity, on a computer does not equate to the simulated entity possessing real-life attributes, debunking the idea that AI simulations indicate true consciousness.

Summary & Key Takeaways

• AI theory from the 90s remains similar today, with advancements in computational power.

• Artificial neural networks built decades ago showed intelligence in specific problem-solving abilities.

• The debate lies in conflating intelligence with consciousness, with computers lacking the latter.