DeepDecision

The Leader in Large Signal Model technology

[Scott Edington @ScottTEdington]

LLMs have inherent architectural shortcomings that make their use in mission critical applications a rather poor choice. Courses of Action, particularly for Defense applications, need to leverage advanced World State technology. Deep Labs has been pioneering that technology for a decade and is a clear leader in the space.

[DeepDecision @DeepDecision]

RT @ScottTEdington: Fun Fact: The aggregate information flow in the global RF environment is on the order of exabytes per day.

The Earth's…

[Scott Edington @ScottTEdington]

GHOST, and its underlying World State and DIVT technologies, is now being relied upon to deliver advanced Situational Awareness for a number of partners in the Defense & Intelligence community.

[DeepDecision @DeepDecision]

Our team is very excited to announce the latest advancement in Large Signal Model (LSM) technology!

Unlike conventional large language models optimized for text generation, DeepDecision® LSMs are purpose-built to ingest, correlate, and reason over multidimensional signals at scale.

The newly released architecture expands this capability substantially: for every wavelet, more than 440 trillion parameters are capable of being utilized, enabling unprecedented depth in signal resolution, contextual awareness, and pattern detection. This scale allows organizations to surface latent relationships that traditional analytics and signature-based systems routinely miss.

[Scott Edington @ScottTEdington]

@deep_labs has been building and deploying world (state) models for close to a decade in Financial Services, Defense & Intel, and other critical infrastructures.

I agree with you, World (state) models will continue to grow in importance and recognition, as will its critical enabler Large Signal Models (LSMs).

[Scott Edington @ScottTEdington]

@FlorianGallwitz @pmddomingos They are ‘features’ not bugs. Once you realize that, everything else makes sense as to their inherent limitations.

[Neil Kittleson @NeilKittleson]

@ScottTEdington @rohanpaul_ai @DeepDecision @VectorForgeAI A world state built with zero trust principles allows you to operate on reality as it unfolds, not snapshots. Context survives, trust is explicit, and intelligence stays aligned with the real world @VectorForgeAI

[Scott Edington @ScottTEdington]

@rohanpaul_ai Biomimicry. Look to nature. Multiple senses employed.

LLMs are fantastic for what they are actually meant for. They will not lead to AGI, nor do they have human cognition.

World State technology is the path forward.

@DeepDecision @VectorForgeAI

[Scott Edington @ScottTEdington]

@Tocelot @theworldlabs @GoogleDeepMind Also important to mention world (state) models can be used for mission critical applications in the Critical Infrastructure and Defense domains. Using Large Signal Model (LSM) technology is the key enabler.

@DeepDecision @deep_labs @VectorForgeAI

[Scott Edington @ScottTEdington]

Thanks for sharing! I agree with you that LLMs lack the capacity to learn new things. This lack of continuous learning creates a host of problems for mission critical applications. ‘Context is everything’. Meaning humans primarily aren’t using language to determine the context to make decision, but all of the various signals they pick up during the day. Pure language based approaches will miss the most important signals that determine the everyday decisions we make. Decisioning systems, humans or machine, have to be able to adapt based on context.

[Scott Edington @ScottTEdington]

Government agencies including the National Security Agency (NSA), National Institute of Standards and Technology (NIST), and the Cybersecurity & Infrastructure Security Agency (CISA) are already mandating transition plans to quantum-resistant algorithms. VectorForge users are automatically compliant with these emerging requirements.

[Scott Edington @ScottTEdington]

https://t.co/bZQdnzw7wE

[Scott Edington @ScottTEdington]

Powerful!

[Scott Edington @ScottTEdington]

This solution is also great for those #DataScientists who want to quickly prototype or even patch an existing solution during a #fraud run.

#AI
#MachineLearning
#Risk
#Identity

[DeepDecision @DeepDecision]

Want to drive new revenue by creating new AI products on the fly? Learn about our new multi-model capability that is perfect for both Enterprise and SMB partners!

https://t.co/JsGwgJu7CA

#MachineLearning
#AI
#LLM
#LargeSignalModels

[Scott Edington @ScottTEdington]

An important session with @NielsenIQ’s Global Head of Media Product. Many lessons for the #Payments industry and next-gen #Identity capability development.

[DeepDecision @DeepDecision]

A very nice walkthrough of the ‘Drag and Drop’ AI decisioning capabilities of DeepDecision: https://t.co/sINiTkLXE4

#artificialintelligence #MachineLearning #largesignalmodels #LLM

[Aran Komatsuzaki @arankomatsuzaki]

Google presents To Believe or Not to Believe Your LLM

https://t.co/0FwmNfskXH

[DeepDecision @DeepDecision]

DeepDecision® Adds Native PCAP Support https://t.co/NSMQ31w5il