TrinityInvestor⚡ (@trinityinvestor) 's Twitter Profile
TrinityInvestor⚡

@trinityinvestor

Partner @arete_xyz. Tech for good.

NFA // The lips of wisdom are closed, except to the ears of understanding.

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calendar_today02-04-2013 16:23:14

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Haitz Sáez de Ocáriz Borde (@ocariz__) 's Twitter Profile Photo

🚨 "Mathematical Foundations of Geometric Deep Learning", co-authored with Michael Bronstein 📚 Read the paper here: arxiv.org/abs/2508.02723 🧠 We review the mathematical background necessary for studying Geometric Deep Learning. #GDL #mathematics #deeplearning #AI

🚨 "Mathematical Foundations of Geometric Deep Learning", co-authored with <a href="/mmbronstein/">Michael Bronstein</a> 

📚 Read the paper here: arxiv.org/abs/2508.02723

🧠 We review the mathematical background necessary for studying Geometric Deep Learning.

#GDL #mathematics #deeplearning #AI
Chen Sun 🤖🧠🇨🇦 (@chensun92) 's Twitter Profile Photo

DeepSeek's Engram succeeds where others failed in this endeavor to replace a transformer's crappy FFN with a symbolic-ish lookup table. And in the process, it reveals what I think is a truly gorgeous, monumental even, paradigm shift in our understanding of transformer capability

DeepSeek's Engram succeeds where others failed in this endeavor to replace a transformer's crappy FFN with a symbolic-ish lookup table. And in the process, it reveals what I think is a truly gorgeous, monumental even, paradigm shift in our understanding of transformer capability
TrinityInvestor⚡ (@trinityinvestor) 's Twitter Profile Photo

We are entering a new era of scientific discovery. AI, advanced mathematics, and cross disciplinary breakthroughs are generating ideas faster than our traditional publication and peer review systems can coherently absorb. What we lack is not creativity, it is a unified, open, and

We are entering a new era of scientific discovery. AI, advanced mathematics, and cross disciplinary breakthroughs are generating ideas faster than our traditional publication and peer review systems can coherently absorb. What we lack is not creativity, it is a unified, open, and
TrinityInvestor⚡ (@trinityinvestor) 's Twitter Profile Photo

Meet PRISM — the Universal Coordinate System for Information. By UOR Foundation . GPS gave every physical location a unique address. Before it, maps were local and incompatible. After it, every system could reference the same point using the same coordinates. PRISM does this

Meet PRISM — the Universal Coordinate System for Information.
By <a href="/uor_foundation/">UOR Foundation</a> .

GPS gave every physical location a unique address. Before it, maps were local and incompatible. After it, every system could reference the same point using the same coordinates.

PRISM does this
Kirk Borne (@kirkdborne) 's Twitter Profile Photo

Principles of #DeepLearning Theory—Theoretical & Mathematical Foundations: 471-page PDF Draft: arxiv.org/abs/2106.10165 or Buy new edition: amzn.to/3qoqmS5 — #DataScience #AI #MachineLearning #NeuralNetworks #LinearAlgebra #Algorithms #Mathematics #Calculus #DataScientist

Principles of #DeepLearning Theory—Theoretical &amp; Mathematical Foundations:
471-page PDF Draft: arxiv.org/abs/2106.10165
or
Buy new edition: amzn.to/3qoqmS5
—
#DataScience #AI #MachineLearning #NeuralNetworks #LinearAlgebra #Algorithms #Mathematics #Calculus #DataScientist
TrinityInvestor⚡ (@trinityinvestor) 's Twitter Profile Photo

The next revolution is: Geometric computation. In-memory, ultra-fast and energy-efficient non-Von Neumann compute architecture for AI and beyond. Perhaps even unified reasoning substrate for Advanced Geometric Intelligence. youtube.com/watch?v=pnIHIY…

TrinityInvestor⚡ (@trinityinvestor) 's Twitter Profile Photo

If a simulation becomes indistinguishable from reality, it is reality to those inside it. Given enough time, its inhabitants forget its origin, advance, and build simulations of their own. Recursion follows. The real question is not whether simulations nest, but how they remain

TrinityInvestor⚡ (@trinityinvestor) 's Twitter Profile Photo

What if symbolic in-memory lookup is the path to AGI? Converging processor and memory in the same space makes total sense. That's how our brains work, on energy-content of a MilkyWay bar. The only thermodynamic cost of compute is deleting information. What if could precompute

What if symbolic in-memory lookup is the path to AGI?

Converging processor and memory in the same space makes total sense. That's how our brains work, on energy-content of a MilkyWay bar. 

The only thermodynamic cost of compute is deleting information. What if could precompute
GonzoML (@che_shr_cat) 's Twitter Profile Photo

1/ Transformers don't count like computers. We assume they have hidden "registers" to track variables. We were wrong. New research by Anthropic reverse-engineered Claude 3.5 Haiku and found it works with 6D helical manifolds. It's geometry, not math. 🧵

1/
Transformers don't count like computers. We assume they have hidden "registers" to track variables. We were wrong.

New research by <a href="/AnthropicAI/">Anthropic</a> reverse-engineered Claude 3.5 Haiku and found it works with 6D helical manifolds.

It's geometry, not math. 🧵
TrinityInvestor⚡ (@trinityinvestor) 's Twitter Profile Photo

What is the next evolution of MCP to power the era of safe, interoperable and energy-efficient Agentic AI? Meet: Unified Computational Substrate. uor-foundation.github.io/UOR-Framework/ by UOR Foundation