CEO & Cofounder @Deep_Labs / previously @Visa, @BoozAllen / @UVA @JohnsHopkins

San Francisco, CA
Joined May 2016
Scott Edington retweeted
The Courses of Action module of the VectorForge platform is a perfect illustration. xitter.cf/vectorforgeai/status/1…
Replying to @haider1
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.
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Fun Fact: The aggregate information flow in the global RF environment is on the order of exabytes per day. The Earth's RF environment (human generated) constitutes an extraordinarily dense, continuous, and multi-source signal field that no existing LLM can ingest or process in its entirety. Even state-of-the-art models with 1–10 trillion parameters operate under fundamental constraints that make real-time processing of Earth's full signal environment impossible: Consider that the total number of distinct signal instances is effectively in the trillions when measured over short time intervals: - Billions of mobile devices perform frequent handshakes, paging, and data bursts. - IoT deployments now exceed 15–20 billion connected devices, many transmitting periodically. - Satellite constellations blanket the planet with overlapping beams. - Broadcast stations and radar systems operate continuously. The aggregate information flow in the global RF environment is on the order of exabytes per day (or petabits per second in raw sampled data). Sampling the entire usable RF spectrum at Nyquist rates across all locations would generate data volumes far exceeding global internet traffic. But what if there was a way to deal with the unique volume and disparate signal types to truly model the global RF environment? You would need advanced compression capabilities, hierarchical predictability mirroring human perceptual processing, and multi-resolution representation amongst other inherent capabilities. The World State, and its fundamental enabler Large Signal Model (LSM) technology, provides the necessary architecture and capabilities necessary to truly model and thoroughly examine the RF world. @deep_labs has been delivering this technology to meet the demanding needs of mission critical applications across Financial Services, Defense, and Critical Infrastructure. #AI #LargeSignalModel #Worldmodels @WorldState
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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.
Prepping for an upcoming Situational Awareness test of our GHOST capabilities for our defense partners.
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An exciting release for our partners who rely on our World State capability to power advanced decisioning across Cyber, Financial Services, and Defense. deepdecision.ai/news/deep-la… @VectorForgeAI
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.
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Scott Edington retweeted
A paralyzed man was able to use his mind to control a robotic arm and feed himself. Thanks to Neuralink. ❤️
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This is my first X message using my BCI. 🤯@Neuralink
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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.
We are excited to announce the World's First Quantum-Secure AI Decisioning Platform. As quantum computing advances, the security of today's AI systems is at risk. VectorForge® proactively addresses this challenge with comprehensive post-quantum cryptography (PQC) integrated across our Data Integrity Validation Token (DIVT) infrastructure. This makes us the world's first AI platform inherently resistant to quantum threats, safeguarding your critical AI data and decision frameworks for the future. Trust Every Decision. Validate Every Data Point. vectorforge.ai/quantum
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DeVonta Smith. Catch of the year. #Eagles
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Class act. Thank you Coach Bennett.
It’s impossible to capture in this space all you’ve accomplished as a coach, mentor, friend, colleague, & @UVA legend. So for now, I will simply say thank you, Tony Bennett, for 15 incredible seasons and 15 years of memories. We have been blessed by your presence. @UVAMensHoops
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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
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! youtu.be/Zx7iiCksjXo #MachineLearning #AI #LLM #LargeSignalModels
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An important session with @NielsenIQ’s Global Head of Media Product. Many lessons for the #Payments industry and next-gen #Identity capability development.
Identity plays such a critical role in our industry, but there are so many nuances that we should be more aware of. I am excited to be part of a panel with Carmela Fournier (@ComcastAd), Dan Rosenfeld (@DIRECTV), and Jon Watts (@CIMM_NEWS) at the CIMM Summit on Oct. 8th.
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This Large Signal Model (LSM) technology addresses many of the inherent #hallucination problems of #LLMs. Built for mission critical applications and use cases in highly regulated industries. #ArtificialIntelligence #MachineLearning #Risk
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Scott Edington retweeted
80 years ago on the eve of D-Day: General Eisenhower’s Order of the Day for June 6, 1944, is distributed to the 175,000-member expeditionary force. youtu.be/fQ7IKM-jiJI?si=zUxY…
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A fantastic capability to enhance network monitoring & intrusion detection!
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