Joseph Raczynski's article, "Exploring the AI Vanguard," examines the top 50 artificial intelligence companies of 2024. The article highlights the diverse applications of AI, ranging from healthcare to autonomous vehicles and generative art, and the massive funding driving this growth. Ethical concerns surrounding AI bias and the potential for monopolies are also addressed. Finally, the author considers the long-term societal impact of these technological advancements, emphasizing both the potential benefits and risks.

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What are the most important ways that you see AI impacting crypto/Web3?

Going back to 2017, I have always believed and spoken about the yin and yang of AI and blockchain in potential perfect union to advance both spaces for the good of all industries. How might this work? Fundamentally, we are talking about AI acting as the intelligence agent – new ideas or concepts and blockchain/crypto/Web3 acting as the database. That is, blockchain serving as a verifiable repository for information at rest, referable for AI to both store information and use as an oracle, i.e. a source of truth. This iterative process set in an exponential age is extraordinarily powerful and can rapidly deploy new automated systems. For example, the ability to create a tokenized ticketing system for events, stocks, incentivized games, metaverse properties or any asset. Each can be created in a far more automated process via engineered prompts leveraging multimodal generative AI agents – creating the art, the content, the plan of action to execute each idea, and then the assets (web3) to store that verifiable information on the blockchain, be it a plot of land, token, coin, or identity. There are innumerable examples, and ones that have not even been thought of which will surface soon.

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AGI is likely around the corner. We need to mentally prepare for it. Here are three avenues as I see this unfold.

Recently at a talk in Boston, I walked through these concepts with the audience.

Quick Step Back:

The adult brain has approximately 100 billion neurons, it orchestrates over 100 trillion connections—far outstripping the complexity of what we have seen with all connected devices and content on the Internet. That said, our current most powerful transformer model, the T in GPT, only handles 1.2 trillion connections, but seriously, looky at what it can do now with only 1.2% of the connections of our human brain.

This staggering neural network we are seeing unfold continues to confound the best scientists. We still have the most basic questions left to answer, such as, how do we experience intuition? That sudden, seemingly magical understanding of something without conscious reasoning is a puzzle. Some researchers argue that intuition is the brain’s way of drawing on subconscious memories and knowledge, while others suggest it’s simply a cognitive shortcut our minds take to save time. Regardless, it remains a mystery how we process such insights with so little conscious effort.

Then there's memory—how can a melody or scent suddenly transport me back to 2nd grade when on the playground and someone shouts, “rover red rover, send Joe right over,” and I ran full speed into my teacher’s back? She returned later that afternoon to the classroom, thankfully. Now every time I smell Bengay, I think of that moment. Despite extensive research into brain structures involved in memory, we are only just barely sniffing the surface of how memories are truly coded, saved, and recalled.

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Many more crazy technology episodes to come! Subscribe and prepare for the new world.

For more information, please visit the following:

Website: https://www.josephraczynski.com/

Blog: https://joetechnologist.com/

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