Allan Martin

Investor in #AI, #Banks, CEO and Co-Founder of Lumina AI, Chairman of Atlantic Merchant Capital.

[Allan Martin @tampabanker]

https://t.co/APzuOLbr5D. NOT IF YOU IMPLEMENT LUMINA RCL. ⁦@OpenAI⁩ ⁦@SoftBank⁩ ⁦@Microsoft⁩ ⁦@Google⁩ ⁦@intel⁩ ⁦@nvidia⁩ ⁦@elonmusk⁩

[Allan Martin @tampabanker]

OpenAI’s new artificial-intelligence project is behind schedule—and there may not be enough data in the world to make it smart enough. It doesn’t have to be @Lumina_AI is the answer—RCL. ⁦@OpenAI⁩ ⁦@Microsoft⁩ ⁦@intel⁩ @Google ⁦ https://t.co/5TNbxEFBI1

[Allan Martin @tampabanker]

“I’m looking to detect the weak signals,” says @JensenHuang. That’s exactly what LuminaAI’s RCL algorithm excels at—identifying weak signals faster, more accurately, and efficiently than any other AI technology. The future of AI signal detection is here. #AI #Innovation #LuminaAI

[Allan Martin @tampabanker]

They're known as T5T emails. And they're essential to Jensen Huang's success at Nvidia. https://t.co/B3R4idjD0F

[Allan Martin @tampabanker]

Lumina’s RCL technology is 300x more power-efficient in training LLMs than anything out there today. Let’s revolutionize AI—making it more profitable, accessible, and sustainable without overloading the power grid. @sama, let’s connect!

[Allan Martin @tampabanker]

Lumina’s RCL technology is 300x more power-efficient in training LLMs than anything out there today. Let’s revolutionize AI—making it more profitable, accessible, and sustainable without overloading the power grid. @elonmusk, let’s talk!

[Allan Martin @tampabanker]

The Next AI Battle: Who Can Get the Most Nvidia Chips in One Place.
Sure. But what if you didn’t need ⁦@nvidia⁩ chips? Lumina AI RCL can do all you need to do on CPU. ⁦@intel⁩ ⁦@AMD⁩ ⁦@SoftBank⁩ ⁦⁦@Google⁩ ⁦@Microsoft⁩ https://t.co/4EYeqOiIRn

[Lumina AI @Lumina_AI_]

RCL provides remarkable classification and predictive power with 95% resource savings over traditional #MachineLearning models. By leveraging CPUs and reducing heat output, RCL is ready to support data centers facing GPU power challenges. #AI #PowerEfficiency #CloudComputing

[Allan Martin @tampabanker]

Lumina AI Welcomes Jason Sultz to Advisory Board to Strengthen AI and Advanced Compute Expertise. Welcome aboard Jason! We are thrilled to have you! https://t.co/EfsyWewIop

[Allan Martin @tampabanker]

Lumina’s RCL is the solution to this problem. @Nvidia @OpenAI @Microsoft @Google @AWS_Partners @Intel @SoftBank

[Lumina AI @Lumina_AI_]

AI’s energy and water demands are rising, but solutions exist. Lumina’s Random Contrast Learning (RCL) offers a more efficient alternative, reducing environmental impact without sacrificing performance.

@WSJ
https://t.co/xUOz9NtJc0
#SustainableAI

[Allan Martin @tampabanker]

Congratulations! Thank you to the Intel team for your inputs as well!

[Lumina AI @Lumina_AI_]

Excited to introduce PrismRCL™ 2.5.0! 🚀

Enhanced auto-optimization with new parameters
New evaluation methods: softmax, chisquaredpair & more
Faster image loading & improved caching

Try it free for 30 days: https://t.co/DG6svBj6UF

#LuminaAI #PrismRCL #AIforCPU #MLonWindows

[Allan Martin @tampabanker]

This is good stuff! Congratulations Team Lumina AI!

[Lumina AI @Lumina_AI_]

🚀 Try our new prototype integrating RCL with GPT-4o! It showcases the versatility and effectiveness of our RCL algorithm in a user-friendly chat format.

Choose an example model, upload your data, and review the results.

Explore it here: https://t.co/jQCHq9R0Lw

#RCL #GPT4o

[Allan Martin @tampabanker]

Welcome to our team, Trish! It’s a privilege to have you with us.

[Lumina AI @Lumina_AI_]

Lumina AI adds AI expert Trish Damkroger, HPE's Chief Product Officer for HPC and AI, to its Board of Directors. https://t.co/FHzH73970n

[Allan Martin @tampabanker]

Congratulations to team Lumina!

[Lumina AI @Lumina_AI_]

Big News: Lumina AI is proud to announce that we are part of Microsoft for Startups Founders Hub 🎉

Discover how this partnership will accelerate the distribution of our flagship algorithm, #RCL, with insights from our CEO @TampaBanker and Board Member @edingle

[Allan Martin @tampabanker]

Proud of the @Lumina_AI_ team and grateful for the support from @Intel!

[Lumina AI @Lumina_AI_]

@Lumina_AI_ is thrilled to join #IntelLiftoff!
This journey with Intel paves the way for us to scale to new heights. Excited to deliver the capabilities of #LuminaRCL at scale and accelerate our growth and visibility within the #AIML community. 🚀

https://t.co/bF17c4BL0R
@intel

[Lumina AI @Lumina_AI_]

@PopSci Ed's piece details Lumina AI's innovative CPU-based model as a potent solution to this challenge. Lumina RCL not only enhances machine learning efficiency and precision but also promises greener, more accessible AI.
Read the full article: https://t.co/TSaQGajW97 @tampabanker

[Lumina AI @Lumina_AI_]

In @PopSci's article, "AI companies eye fossil fuels to meet booming energy demand," The article goes on to say that renewable energy sources alone will in no way cover this increased electricity demand any time soon, hence leading to an increased reliance on fossil fuels.

[Allan Martin @tampabanker]

Thank you Ed. This is extraordinary work!

[Lumina AI @Lumina_AI_]

As AI's hunger for energy intensifies, we must confront the environmental toll. @edingle, author of our latest "Executive Insights" feature, spotlights a stark reality: the AI industry's burgeoning energy needs could soon rival the consumption of entire nations. 🧵

[Allan Martin @tampabanker]

Lumina’s #RandomContrastLearning should dominate all sensor-related AI use cases. Thank you @svpino!

[Santiago @svpino]

Another breakthrough for autonomous driving:

Random Contrast Learning, a new CPU-based algorithm, performs much better than a neural network in autonomous simulators.

The experiments:

• A controlled simulation environment
• An autonomous vehicle with an array of 8 sensors
• A race track
• Two side-by-side algorithms
• 100 trials

The algorithms were LuminaRCL (proprietary implementation of Random Contrast Learning) and an artificial neural network.

The vehicle gradually learned to navigate the track using both algorithms.

The Random Contrast Learning implementation completed a full lap with an 81% success rate after 15,000 training steps. The neural network required 150,000 steps to achieve a paltry 23% success rate.

Here is more information about the experiments:

https://t.co/ikZgpyIZ1N

Thanks to the Lumina team for collaborating with me on this post and helping me understand PrismRCL, their desktop application you can use to run their Random Contrast Learning algorithm.

You can try it out for free by going to this link:

https://t.co/kMDgmA6hLB

[Allan Martin @tampabanker]

Nvidia AI and U.S. Innovation: Lumina AI’s RCL is green AI. The world will know us soon. https://t.co/KU7rbE0W4T