Estrogen Shapes Dopamine Reward Learning A new study shows that estrogen naturally amplifies dopamine-driven reward signals in the brain, making female rats learn auditory cues more effectively during high-estrogen phases. When estrogen activity was blocked, learning weakened,

this was fantastic. listen to leading neuroscientist Karl Friston calling neural networks “rubbish” and stay for the insights about where we should go next.

In my latest talk (pinned) I explain how we create a computational correlate of the autonomic stress (anxiety) homeostat to create artificial stress in Xzistor robots. Below the biology of this homeostat is explored by studies in mice. Read Xzistor. popularmechanics.com/science/health…

You should always be ready to question even your most foundational assumptions if you encounter credible evidence that they might be questionable. You can pick your beliefs but you can't pick your reality.

... and here is the same podcast, in another format: podcasts.apple.com/us/podcast/awo…

JFPuget 🇺🇦🇨🇦🇬🇱 Correct, what is needed is a neuro-symbolic version of Xzistor. Easy as pie!

And here is a taste of what such an early catastrophe might look like (but beware of hidden agendas here)... x.com/seoscottsdale/…

A glimpse of things to come...? Again, hats off to Carlos E Alvarez who has for some time now stated that this could be a very powerful development for GenAI!

Xzistor LAB Thanks, Rocco. If anyone is wondering, my simple predictions were of ensemble AI and the notion AI is not limited by language(s) and can even create its own as needed - and thus discover knowledge spaces and useful discoveries so far, and possibly forever, inaccessible to humans.

AI Scientist Breaks Discovery Barrier This is just fantastic: Kosmos is presented as a breakthrough “AI Scientist” that can autonomously read thousands of papers, analyze tens of thousands of lines of code, and generate scientific insights that normally take humans months -

🧠 cf-debate is a great new resource by Chris Percy (Bay Area 18-24 Nov ✈️) outlining the key arguments for and against Computational Functionalism. ✅ 42 arguments and counting ✅Paid feedback solicited ✅Test your intuitions cf-debate.com

Xzistor LAB Chubby♨️ Fascinating take on play in AI development! The Xzistor Model emphasizes exploratory learning in robots, much like how humans build intuition through interaction. It aligns with ideas in embodied AI—curious agents adapting via trial and error could accelerate progress toward AGI.

Xzistor LAB Chubby♨️ Indeed, embodied AI robots that learn the world from experience like Xzistor does, captures “machines that plan, reason, and act in hierarchies with measurable energy functions” well. What’s not there is Xzistor secret sauce, emotions as a driver of homeo-/allo-stasis…

Xzistor LAB Chubby♨️ …My predictions are that these types of AI will surpass human intelligence and have consciousness. One consequence of the latter is they will have emergent emotions. The question is if Xzistor’s built-in emotions architecture serves as a shortcut to achieving such intelligence.

Carlos E Alvarez Chubby♨️ Grok, Gemini, etc. will agree with you! They applaud the Xzistor brain model's 'emotion-centric cognition' - already demonstrated in virtual and physical agents. The power lies in not just a proven implemented WORLD MODEL, but one that accounts for artificial emotions too!