According to recent studies, language (text) accounts for only a fraction (7%) of human communication. Studies indicate that the majority of communication, approximately 93%, is nonverbal, including body language, facial expressions, and tone of voice.
Limitation of Language Models
Despite all this training data in place today, Machines (LLMs) will never reach human-level AI without learning from high-bandwidth sensory inputs, such as vision or touch.
Sensory inputs (Vision and Touch) are of much higher bandwidth relative to Language/Texts.
The data bandwidth of visual perception is roughly 16 million times higher than the data bandwidth of written (or spoken) language.
In a mere 4 years, a child has seen 50 times more data than the biggest LLMs trained on all the text publicly available on the internet.
Most of human knowledge (and almost all of animal knowledge) comes from our sensory experience of the physical world.
Read More“There are decades where nothing happens, and there are weeks where decades happen.”
In the realm of Artificial Intelligence, a debate rages on, echoing the futuristic fears and promises once envisioned in science fiction narratives. As we stride into the era of advanced robotics and machine learning, the specter of the Terminator looms large.
The Existential Question: Will AI emerge as Humanity's 'Assassin' or its 'Protector'?
The AI does not love you, nor does it hate you; it just operates based on algorithms and logic.
Hence, it’s critical that AI’s ‘Goals’ & ‘Values’ are aligned with Humans ... they need to be aligned with our desirable priorities as opposed to the undesirable ones.
... If Not, We’re in Trouble!
Read MoreThe race for AI supremacy is in full swing. As Artificial Intelligence continues to advance, a question arises: Can it avoid the pitfalls of the 2000 Dotcom Burst and The Tech Bubble?
Amidst the hype surrounding AI, the advancements in Machine Learning offer compelling reasons to tap into its great potential and explore underlying market opportunities.
AI has the potential to reshape our world, but it must be approached with responsibility and careful consideration. The responsible use of Artificial Intelligence can lead to improvements in various aspects of human life, but it requires careful attention to avoid pitfalls and unintended consequences. By acknowledging the limitations of algorithms, understanding the complexity of AI systems, and guiding their development ethically, we can navigate the AI landscape successfully.
[Expanding on the Concepts] :
The Dotcom Burst and Tech Bubble
Algorithms Ethics or Ethical Algorithms ?
It's a Game — Play Responsibly !
Unleashing Market Opportunities
Read MoreArtificial Intelligence will be the next technology platform shift — following cloud, social, and mobile, with Generative AI leading the rapid charge.
Generative Al is a subset of Machine Learning (ML) and refers to technology that can take human inputs and create completely new content (text, videos, code, images … ). It has the potential to present an exciting horizon of new ways computers can help people get things done and transform user experiences drastically.
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