Training the brain: Your personal AI model

Training the brain: Your personal AI model

Artificial Intelligence provides inspiration for human intelligence.

The precise operation of AI is better summarized elsewhere. As I understand it, AI is a tool that processes quantities of data to develop a model of associations – how the computer thinks the world looks and operates. This model can then receive new input and generate meaningful output. The computer can be fed an image that looks like a whole bunch of cats and based on its prior training, correctly label the image as "a whole bunch of cats".

How could this relate to human intelligence? We experience life through our perception. At a base level, humans constantly collect data on our surroundings using 5 senses as input. Seeing, hearing, tasting, smelling, feeling our way along. We process this noisy and confusing onslaught of information into a model of how we understand the world to work – making memories, recognizing patterns, and learning behavior.

Behavior, the sum of our biology and experiences, guides our reaction to future situations we may encounter. By pairing perceived inputs with desirable outputs, we create shortcuts that enable a faster, lower cost cycle of Perceive - Analyze - Decide. We can more rapidly assess our surroundings and inform effective actions such as "I should run from this attacking tiger" or "wow, that jelly donut looks delicious and I will eat it".

It is of utmost importance for us to regularly encounter new, varied, and disparate inputs.?Beyond the wide-eyed appreciation of a new experience, these new datapoints refine and improve our human models. Ensures our software is fully up-to-date.

As example: when you visit an art museum for the first time, you find not-previously-encountered collections of strange and wonderful shapes and colors. You are now acquainted with new ways of association. The novel information caused the human model to retrain, change weightings, challenge assumptions.

Read, appreciate beauty and art, perceive nature, speak with smart people about their passions – continue to train your model.

- Jeremy

Fernanda Coelho

Associate Director @ Pfizer | PhD | PMP

5 个月

Thanks for sharing your perspective! As a project manager, I hear a lot that this could be a role replaced by AI in the future. That will happen if we don’t learn to use AI capabilities to our benefit. PMs should be trained to think critically and have relationships with stakeholders.

Wenseng "Wendy" Pan

Partner at Goodwin Head of Life Sciences in Asia

6 个月

Well said Jeremy! I am going to share it with my daughters. It’s even more important for the younger ones to learn not to lose their sense of curiosity and other basic human skills in a world that is being invaded by AI.

Bridget Knapp

Aspiring statistician | Proficiency in R, SAS, and JMP | Skilled in statistical analysis, machine learning, and data visualization | Seeking to leverage analytical techniques to solve problems

6 个月

Thank you for sharing, Jeremy. I never thought of human intelligence within the context of model building before. This is timely because an article by Cade Metz, 2023 NY Times, explains the potential risks of relying on large language models, like GPT-4 (“What Exactly Are the Dangers Posed by A.I.?”).?

Robert Lawrence

Director of Biology at Immunome, Inc.

6 个月

Agreed. Clearly we've already entered the era where AI is training our brains and not the other way around as it should be.

Madhu Krishnan

Head Data Science & BI Solutions, BI&A, GCC

6 个月

Look forward, I guess the question is what is the purpose of our lives and what makes us unique....Will keep chatting...meanwhile check out, Tom Friedman, 2017 NY Times - from hands to heads to hearts...cheers.

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