Why Machines, AI Agents, Neural Nets and LLMs can not Think or Reason like Humans
Dubito, ergo cogito, ergo sum. (“I doubt, therefore I think, I think therefore I am”) ~ René Descartes
“Can AI think?” Nope.
“Can AI reason?” Nope.
“Can AI learn”? Nope.
“Can AI be hyperintelligent?” Yep.
We’ll explore why machines, AI agents, neural nets, LLMs and GPT-n can not think or reason, learn and know like humans, and what is described below is rather a wishful thinking or the widespread cases of global AI illiteracy.
GPT-4 can solve difficult problems with greater accuracy, thanks to its broader general knowledge and problem solving abilities.
Meet the first version of Gemini — our most capable AI model.
Gemini is built from the ground up for multimodality — reasoning seamlessly across text, images, video, audio, and code.
“What kind of mind does ChatGPT have?”;
“ChatGPT can ace logic tests. But don’t ask it to be creative.”;
“ChatGPT is dumber than you think”. https://www.linkedin.com/…/why-machines-ai-agents…/
What is the future of AI, and why should we be scared?
The future of AI holds immense potential for positive advancements, such as improved efficiency, medical breakthroughs, and enhanced technologies. However, concerns arise around ethical considerations, job displacement, and the potential misuse of powerful AI systems. It’s crucial to approach AI development responsibly, considering its societal impacts, ensuring transparency, and establishing ethical guidelines to mitigate risks. Fear often stems from the unknown consequences and the need for responsible governance in shaping AI’s trajectory.
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