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- 🧠 AI MIRRORS the human brain! - how?
Tuesday arrives! And now here’s Mindstream!
Some mind-blowing science today, plus some questionable decisions by Nvidia…
Here is what you need to know about AI today in 5 minutes.
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TODAY IN MINDSTREAM:
🧠 AI Mirrors the Human Brain!
🎨 Your Daily Image Prompt
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📊 Poll of the Day
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💡 AI-nspirational quote
😮 Nvidia staff warn about racist AI!
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🧠 AI MIRRORS THE HUMAN BRAIN
A fascinating new experiment has shown that AI can mimic the way the human brain acts regarding memory.
This one is gonna get a bit technical so bear with me…
Hippocampal functions?
The key to AI systems is how they learn and remember information. The scientists in question applied principles of human brain learning, specifically concentrating on memory consolidation through the NMDA receptor in the hippocampus, to AI models.
The results then showed a striking similarity between AI memory processing and the human brain’s hippocampal functions.
who needs a brain when we have AI?
Similarities to the brain
The NMDA receptor in question acts as a door in the brain that facilitates learning and memory formation. When glutamate is present, the door opens. On the other hand, when magnesium is present it “blocks” the door.
The AI model seemed to use a gatekeeping process similar to the brain’s NMDA receptor.
They then tested if they could apply what they knew about brains to the AI model.
The researchers found that long-term memory in the AI model can be improved by mimicking the NMDA receptor.
Did that make sense? I’m struggling to wrap my head around it myself.
OUR VIEW:
Mind-boggling stuff, right guys? AI and brains aren’t so dissimilar…
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Start your day by trying this prompt in your image generator of choice.
“an isolated, modern home built into the side of a wintery mountain”
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Give ChatGPT a simple name and watch it describe a whimsical day in the life. Sit back and enjoy!
💡AI-NSPIRATIONAL QUOTE
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😮 NVIDIA STAFF WARN ABOUT RACIST AI!
Two senior Nvidia staff warned the company about inherent biases built into AI as long ago as 2020, a Bloomberg report has revealed.
In a meeting with CEO Jensen Huang, their concerns went largely unheeded, leading to them quitting the company months later.
The problem of discrimination in AI
The discussion included instances of bias in facial recognition technologies used to power self-driving cars.
The aim of the meeting was to find a way to confront the potentially perilous unintended consequences of AI head-on - of which they believed would likely hit marginalised communities first.
We’ve seen evidence of this come to fruition. As AI models are built on large datasets, any biases present in this data will pass on to the AI. For example, train an AI model on Twitter (looking at you Elon) - and its worldview will be informed by everything on that platform…
Nvidia also has one of the poorest records in tech when it comes to minority representation in its workforce, and one of its generative AI products came under criticism for its failure to account for people of colour.
Nvidia’s response to the article was that they ” continue to devote tremendous resources to ensuring that AI benefits everyone.”
Pretty lame, right?
OUR VIEW:
This is something AI models will have to deal with going forward. Otherwise the biases in our society will be reflected in our AIs.
📸 MINDSTREAM IMAGE OF THE DAY
Artwork submitted by Mindstream reader Dan Garms!
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👋 THANKS AND BYE
Ah, another day ticked off. Now go finish that Christmas shopping.
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