Man-Machine Intelligence and Learning Machinery (MMILM?)
AI fragmented as "narrow" AI models, rules-based AI, predictive AI, generative AI, ML algorithms and DL NNs are of no practicality and utility, commonly failing for real-world applications.
According to a Gartner report, 85% of AI projects fail due to poor data quality, lack of relevant data, and insufficient understanding of AI's capabilities and requirements.
A single, complex AI model, as pure hallucinating generative AI model in healthcare for diagnosing diseases could lead to misdiagnoses, inappropriate treatments, or missed critical conditions.
It is funny that many people misinterpret as AI technology, the so-called "narrow AI models" and products involving expert, rules-based AI, predictive AI, generative AI, ML algorithms, DL NNs, LLMs
In consumer market, many naively see as AI some "smart home" products, including devices and domestic appliances (lighting fixtures, thermostats, home security systems, cameras, climate control, and other home appliances) which could be controlled via smartphones and smart speakers.
Even a Nobel Prize winner “for foundational discoveries and inventions that enable machine learning with artificial neural networks” “...worried that the overall consequence of this might be systems more intelligent than us that eventually take control,”
Again, no specialized AI/ML/DL/NNs is real. true. genuine AI with real learning, reasoning or intelligence, including all the big tech large language models (GPT, LLaMA, OpenAI’s ChatGPT and GPT-4),
What we need is a total, complete integration of all valuable AI/ML models, as Man-Machine Intelligence cum Machine Learning (MIL), for solving real-world problems of any complexity.
Converging AI Models with Human Intelligence
Or, True Human AI follows the strategic development formula:
Real/Integrated/Total/Hybrid AI = Man-Machine Intelligence and Machine Learning Machinery (MMILM?):
MIL +
AL +
ML/DL/NNs +
领英推荐
GenAI/LLMs +
Causal AI/ML/AGI +
Robotics/Automation/IoT+
Human Intelligence…
The Dawn of a Real AI Era
It's clear that an Integrated/Unified/Hybrid AI represents a disruptive technological advancement—it's a paradigm shift in how we approach the real-world problem-solving with MMIML. By combining the best of various AI models, we're creating systems that are real intelligent, reliable, and suited to handle the complex challenges of our time.
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