# Intelligence is embarrassingly simple

**URL:** <https://discourse.numenta.org/t/intelligence-is-embarrassingly-simple/10930>\
**Category:** General Neuroscience\
**Created:** [August 11, 2023, 10:03pm UTC](https://discourse.numenta.org/t/intelligence-is-embarrassingly-simple/10930 "2023-08-11T22:03:46Z")\
**Posts on this page:** 1\
**Showing post:** 4

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**Author:** ![Bullbash](https://avatars.discourse-cdn.com/v4/letter/b/e68b1a/32.png) [@Bullbash](https://discourse.numenta.org/u/Bullbash)\
**Post date:** [August 12, 2023, 7:34pm UTC](https://discourse.numenta.org/t/intelligence-is-embarrassingly-simple/10930/4 "2023-08-12T19:34:37Z")

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No robots - cannot afford it. Text/images are nice proving grounds. Here are working examples:  
[https://youtu.be/\_NjjKeGltBw](https://youtu.be/_NjjKeGltBw) (Sep 2020, breakthrough with finding a distance measure working in feature spaces ~10^6 dimensionality)  
[IMDB Reviews Dataset - YouTube](https://youtu.be/-JrWz1MONYE) (same thing - IMDB)  
[https://youtu.be/CJY0zgMBwb0](https://youtu.be/CJY0zgMBwb0) (Amazon sentiment)

Fresh repo (used it as backup, kind of messy, but working: classification, generation):

> **[GitHub - MasterAlgo/GPT-Teaser](https://github.com/MasterAlgo/GPT-Teaser)**
>
> Contribute to MasterAlgo/GPT-Teaser development by creating an account on GitHub.

Last repo (backup again, the simplest implementation: local continual Hebbian learning, no BP, single [dah epoch, structurally and synaptically plastic, emulating spiking messaging). Does online clustering of tokens streams (characters, words, tokens, integers). Want to play - start the jar, tune config file: number of streams +++.

> **[GitHub - MasterAlgo/Simply-Spiking](https://github.com/MasterAlgo/Simply-Spiking)**
>
> Contribute to MasterAlgo/Simply-Spiking development by creating an account on GitHub.

Here is video of how it works : [Sign Up | LinkedIn](https://www.linkedin.com/feed/update/urn:li:activity:7082368680084262912)

Here is video of how structural (LED) matrix is built:

> **[Alex Semenov on LinkedIn: Myths of the Instance Based Learning](https://www.linkedin.com/posts/activity-7067534016710656000-tO6L)**
>
> Myths of the Instance Based Learning

Here are examples of generations (nano generator ~200 lines of Java, on top of trained “language model” - stochastic parrot:

> **[Alex Semenov on LinkedIn: GPTs are doing generation the hard way. I put...](https://www.linkedin.com/posts/activity-7042481252767068160-986K)**
>
> GPTs are doing generation the hard way. I put together 200 lines to collect n-grams (character and word levels) and 200 more to use collection for actual…

“Never again she be able to get a better look at the man who had been in the same way as the malfunctioning one.”(c)

> **[Alex Semenov on LinkedIn: First generation attempt... my framework, 45...](https://www.linkedin.com/posts/activity-6862516771040174080-vsC1)**
>
> First generation attempt... my framework, 45 minutes of training on CPU only PC, 1 minute of generation... 1 BLN parameters. 100 lines of actual generation…

“I suspect real gangbangers do not wear T-shirts outside on new years eve in northern Europe.”(c)

> **[Alex Semenov on LinkedIn: Second attempt of content generation: now trained...](https://www.linkedin.com/posts/activity-6862836553484500992-iyEF)**
>
> Second attempt of content generation: now trained on 8GB RAM PC on IMDB dataset. The model comprised of ~450K parameters and generates a bit dumbier content…

Some musing on how lateral messaging between dedicated neurons could work:

> **[Alex Semenov on LinkedIn: Side Propagation](https://www.linkedin.com/posts/activity-6950148118248124418-KpE9)**
>
> Side Propagation

(side propagation 🙂 )

And if you not tired yet, here is an attempt (#17) to describe what’s going on and how it works:

> **[LinkedIn: Log In or Sign Up](https://www.linkedin.com/pulse/draft/AgEJA9fvFUdb_wAAAYnrOzf-rOWwCWyd3seVplZN8C4jfRnnUo1nVXmCgEUzkRT5nDYl3Ic)**
>
> 750 million+ members | Manage your professional identity. Build and engage with your professional network. Access knowledge, insights and opportunities.

Enjoy.

Images are not that obvious - have no publishable posts about. But - have no reason to mislead - it works (trains, classifies, generalizes) on the same platform.

I’m leaving tomorrow morning for a week - so, do not miss me much, be back - will respond 🙂

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