Open Web Mind is a knowledge hypergraph that holds all human knowledge.

But it’s not a monolith.

It’s made up of many individual minds.

Each mind is its own knowledge hypergraph. Each has different edges, but these edges are between the same nodes.

Which means you can meld your mind with other minds, and think as if your mind and those other minds were one.

Open Web Mind is a billion knowledge hypergraphs that hold a billion individuals’ and institutions’ knowledge, melded into a combinedknowledge hypergraph that holds all human knowledge.

It’s a billion minds, melded into humanity’s mind.

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Hosted by Mark Jeffery founder of Open Web Mind

I release the Open Web Mind podcast as a video too! Watch here.

The full article is here.

Kootenay Village Ventures Inc.

Open Web Mind is a hypergraph of nodes and hyperedges.

Nothing more.

Nothing less.

It’s the simplest protocol ever.

So how can something so simple hold something as complex as humanity’s mind?

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References

• There are a hundred billion neurons in your brain

Images

• Earthenware phrenological bust from the Wellcome Collectionlicensed under CC BY 4.0
• Multipolar Neuron by Bruce Blaus licensed under CC BY 3.0

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Hosted by Mark Jeffery founder of Open Web Mind

I release the Open Web Mind podcast as a video too! Watch here.

The full article is here.

Kootenay Village Ventures Inc.

I’ve talked about edges in Open Web Mind, representing connections between nodes.

But there’s a more precise way to represent connections in Open Web Mind.

Hyperedges.

Hyperedges are what make Open Web Mind a truly powerful way to capture human knowledge.

They transform the knowledge graph into the knowledge hypergraph.

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References:

• Node names and definitions from WordNet created by Princeton University licensed under WordNet 3.0 license

—

Hosted by Mark Jeffery founder of Open Web Mind

I release the Open Web Mind podcast as a video too! Watch here.

The full article is here.

Kootenay Village Ventures Inc.

I first imagined minds that might augment our own some three decadesago.

Yes, I really am that old, and I have the grey hair to prove it.

So why, three decades later, is it finally the right time for a mind for all humanity?

Why now?

Here are three reasons why the time is ripe for Open Web Mind:

• Reason #1: Search is dead
• Reason #2: Smash the system
• Reason #3: Seeing is believing

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References:

• google.com
• Startpage – uses Google search
• YouTube
• Gmail
• Images weren’t introduced into HTML until 1995...
• ...several years after Tim Berners-Lee wrote the first specification in 1990
• Google didn’t introduce image searches until 2001...
• ...prompted by Jennifer Lopez’s green Versace dress...
• ...several years after WebCrawler launched the first true search engine in 1994

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Hosted by Mark Jeffery founder of Open Web Mind

I release the Open Web Mind podcast as a video too! Watch here.

The full article is here.

Kootenay Village Ventures Inc.

How do you think?

Fire.

The billions of neurons in your brain fire trillions of times a second.

How do you think in Open Web Mind?

Same answer.

Fire.

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References:

• There are billions of neurons in your brain.
• They fire trillions of times a second.
• There’s resting potential, threshold potential and action potential.
• Each neuron, if it fires, it communicates a signal to thousands of other neurons.

Images:

• Political World & Political Africa from the CIA’s World Factbook public domain

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Hosted by Mark Jeffery founder of Open Web Mind

I release the Open Web Mind podcast as a video too! Watch here.

The full article is here.

Kootenay Village Ventures Inc.

Why is it so hard to flow from one thing to another on the web?

In our minds, we flow so easily from one motion to the next, one feeling to the next, one idea to the next.

Why can’t it be like this when we’re on the web?

Why can’t we flow as easily through our collective mind?

Well, with Open Web Mind, we can.

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Hosted by Mark Jeffery founder of Open Web Mind

I release the Open Web Mind podcast as a video too! Watch here.

The full article is here.

Kootenay Village Ventures Inc.

Far from killing Google, AI slots seamlessly into their business model.

As long as we still go to Google when we want to know something, and as long as Google tells us what we want to know at least as well as OpenAI, and as long as we don’t care that Google’s balancing what we want to know with what people with influence and people with money want us to know, then it doesn’t matter how Google arrives at a particular response to a particular search, whether it’s through a three-decade-old PageRank algorithm or through the latest in AI.

AI won’t kill Google.

But what if something else came along that didn’t have to perform that tightrope walk between what we want to know and what Google wants us to know?

What if that something else weren’t a search engine?

It’s at the dawn of something completely different – completelyunexpected – that the mighty fall.

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References:

• chat.openai.com
• perplexity.ai
• gemini.google.com

• Google’s PageRank algorithm

Sources:

• When Windows launched in 1985, IBM was worth $30 billion. Now it’s worth $160 billion.
• When Netscape launched in 1994, Microsoft was worth around $20 billion. Now it’s worth $3 trillion.
• When Instagram launched in 2010, Facebook, too, was worth around $20 billion. Now it’s worth $1 trillion.
• When TikTok launched in 2016, YouTube was worth maybe $100 billion. Now it’s worth maybe $400 billion.

• Google has been using AI to improve their search engine since 2001.
• Admittedly, AI didn’t work its way to the core of the search engine, ranking results, until 2015, but that was before OpenAI was born.
• Google pays Apple $20 billion a year so that when you want to know something on your iPhone, you go to Google.

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Hosted by Mark Jeffery founder of Open Web Mind

I release the Open Web Mind podcast as a video too! Watch here.

The full article is here.

Kootenay Village Ventures Inc.