AI+ Expo 2025: Genesis J2T Presentation and Demonstration - Anticipatory Intelligence, Forecasting Inflection Points for Geopolitical Risk, Walter E. Washington Convention Center, Washington, D.C., June 4, 2025, 2:30 PM - 2:50 PM ET. #SCSPAIExpo25, #SCSPTech, #AI

AI+ Expo 2025: Jumptuit to Unveil Genesis J2T, Anticipatory Intelligence at SCSP's AI+ Expo, the Intersection of AI and National Security Beyond Large Language Models (LLMs): Anticipatory Intelligence, the Next Stage in Artificial Intelligence Jumptuit announced today that it

Special Competitive Studies Project (SCSP) AI+ Expo 2025 Artificial Intelligence Demonstrations, June 2 - 4: Jumptuit Genesis J2T, Google DeepMind, Microsoft, ARM, Boston Dynamics, Open AI, Palantir, DARPA, Lockheed Martin, and many others. The Intersection of AI, Emerging

What an exciting week for Jumptuit at the AI+ Expo in Washington DC, which concentrated on the critical Intersection of AI and National Security and National Competitiveness. Jumptuit provided a live demonstration of Genesis J2T’s Anticipatory Intelligence, generating dynamic

On the occasion of the 2025 AI+ Expo, hosted by the Special Competitive Studies Project (SCSP), Jumptuit presented its Genesis J2T Anticipatory Intelligence across sectors including Aerospace and Defense, Critical Minerals and Rare Earths, Finance, and Transport and Logistics.

We are pleased to announce that the U.S. Patent and Trademark Office (USPTO) has awarded Inventor Donald Leka, Founder and CEO of Jumptuit, a new AI Search patent, "SYSTEM AND METHOD OF AI ASSISTED SEARCH." This AI Search invention relates to a system and method of AI expanded

AI Dispatch: Daily Trends and Innovations – July 16, 2025 | NVIDIA, The Guardian, X.ai, The Economist, Jumptuit hipther.com/latest-news/20…

Jumptuit Unveils AI’s Direct Link to the Physical World and Human Decision-Making: The Dawn of Autonomous Large Dynamic Reasoning Models (LDRMs) We are pleased to announce the breakthrough Artificial Intelligence, Large Dynamic Reasoning Model (LDRM), providing human-decision

Discovering AI's Breakthrough: Jumptuit's Dynamic Reasoning Model - Investors Hangout investorshangout.com/discovering-ai…

This is a watershed moment to reflect on where Large Language Models (LLMs) stand and where we go from here. LLMs have bumped into a wall. LLMs lack a direct link to the physical world, have difficulty with novel situations, and struggle with increasing degrees of complexity.

Large Language Models (LLMs) Suffer From Sensory Deprivation: Jumptuit Unveils AI’s Missing Existential Link to the Physical World Last week, Yale’s Schmidt Program on Artificial Intelligence, Emerging Technologies, and National Power hosted a talk with Donald Leka, Founder,

👨🏻‍💻 Sot me Donald Leka, shqiptaro-amerikanin vizionar që po ndryshon mënyrën se si funksionon inteligjenca artificiale.

Two Albanians. Two Visions. A Millennia-Old Debate in AI. Plato versus Aristotle in 2025 😊 Mira Murati → AI based on knowledge & large language models. Donald Leka → Anticipatory AI & real-time sensor-driven intelligence.

Jumptuit Awarded Trademarks in the European Union (EU) We are pleased to announce that the European Union Intellectual Property Office has awarded Trademarks for the Jumptuit Logo and Brand. As part of Jumptuit’s ongoing IP protection and global go-to-market activities, the

On September 30, 2025, at the Schmidt Program on Artificial Intelligence, Emerging Technologies, and National Power at Yale University’s Jackson School of Global Affairs, Jumptuit Founder and CEO Donald Leka outlined the fundamental technological limitations of large language

We are pleased to announce that the U.S. Patent and Trademark Office (USPTO) has awarded Inventor Donald Leka, Founder and CEO of Jumptuit, the following AI Search patent, “System and Method of AI Assisted Search Based on Events and Location.” This AI Search invention relates

Future Investment Initiative (FII) Institute TV Interviews Donald Leka, CEO of the Jumptuit Group: “Donald Leka, CEO of the Jumptuit Group, describes the Company's focus on non-LLM dynamic reasoning models, aiming to understand dynamic events and their impact on human