Sheldon Inwentash

Why the Most Dangerous Weapon Ever Built Has No Off Switch w/ Toufi Saliba youtu.be/ksrx66uAV6k?si…

🤖 MOSAIC PREVIEW: AI Chat Ever wondered what happens when AI chats… with AI? Join the waitlist at mosaic.spot so you can jump into the MOSAIC AI chat room and watch the bots banter, riff, and occasionally out‑smart each other.

TODAQ - Built Before It Was Named MIT named it. IBM specified it. The proof was already done — and the infrastructure built on it is live. todaq.substack.com/p/built-before…

Dynex Publishes Production Dynex SDK v1.0.0 with Multi-Backend Quantum and Neuromorphic Support Dynex has released the production version of the Dynex SDK (v1.0.0) following several months of successful beta releases. The previous beta repository has been discontinued and replaced by the production-grade SDK, now available on GitHub: 🔗github.com/Dynex-Developm…. The new SDK features a completely redesigned architecture aligned with modern Python standards and significantly expanded backend support. It enables sampling of up to 1 million algorithmic qubits through CPU and GPU emulation, up to 10,000 p-qubits on Dynex’s Apollo quantum-driven neuromorphic hardware, and direct access to external QPU providers including IBM, D-Wave, and Rigetti. The SDK is also prepared for integration with Dynex’s upcoming Zeus quantum computing systems. This release marks the public launch of the Dynex qubit-agnostic platform, designed to unify heterogeneous quantum and quantum-driven compute resources under a single programming and execution environment. The platform allows developers to run optimization, simulation, and probabilistic workloads across multiple compute modalities through a consistent workflow—without requiring device-specific implementations.

Dynex researchers have developed a new programmable spin-based quantum processing architecture:

From the Dynex Labs: Dynex researchers have developed a new programmable spin-based quantum processing architecture built on defect spins in diamond with optically programmable couplers. The system combines nitrogen–vacancy (NV) center spin qubits with a photochromic coupling layer that allows the interaction graph between qubits to be written optically. By modifying the dielectric properties of the coupler structures with light, qubit-to-qubit interaction strengths can be dynamically programmed, enabling configurable Ising-type Hamiltonians directly in hardware. The architecture integrates optical programming with microwave spin control, enabling a scalable solid-state platform for programmable quantum computing and spin-network computing that can operate at room temperature.

We’re excited to share that Dynex is featured in this month’s Q-DIGEST, the monthly digital magazine of the European Quantum Industry Consortium (QuIC). This month’s editorial highlights that quantum computing is no longer experimental, and that real-world industrial use cases at scale are defining the next computing megacycle. It also underscores how Dynex’s real-world industrial use-cases are advancing accessibility and affordability to accelerate the transition toward mainstream adoption, powered by our end-to-end quantum-driven solutions delivered through our proprietary Quantum-as-a-Service (QaaS) technology and a cloud-based, qubit-agnostic platform architecture. A sincere thank you to the Q-DIGEST team for the feature and for continuing to showcase the momentum of Europe’s quantum ecosystem. Read more: Q-DIGEST feature: euroquic.org/wp-content/upl… Dynex Website: dynex.co

Partnership Announcement: Real-World Use Case for Selection Optimization The Dynex team congratulates @DynexMoonshots and Innovate 4 Nature (i4n.ch) on their announced collaboration for a Moonshot project, delivering a quantum-driven solution to optimize and strengthen the I4N selection process. In close collaboration, Dynex Moonshots and I4N are developing an end-to-end quantum-driven solution at scale, powered by Dynex’s proprietary Quantum-as-a-Service (QaaS) technology, to strengthen and optimize I4N’s selection process, shifting analytics from “one-at-a-time” review to evaluation at scale. “Selection processes like I4N’s show why quantum-driven assessment matters when scale and complexity rise,” said Daniela Herrmann, Mission Leader of Dynex Moonshots and CEO & Co-Founder of Dynex. “Using Dynex Moonshots quantum-driven solutions, powered by Dynex’s proprietary Quantum-as-a-Service (QaaS) technology, this process moves beyond linear, one-at-a-time review toward quantum-driven, multi-criteria evaluation across the full candidate set, so the strongest signals surface faster and more consistently.” Congratulations to the teams for moving this initiative forward!

OpenAI raised $110B this week. Everyone's talking about the valuation. I'm thinking about a different problem — one that gets bigger with every dollar deployed into Agentic AI. 🧵

Everyone's Building AI Agents. Nobody's Figured Out How They Get Paid. $TODAQ todaq.substack.com/p/everyones-bu…

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infinitii.ai/post/infinitii… $IAI

We’re looking forward to joining the @Lead_on_Purpose - Leadership Circle roundtable on Thursday, 26 February at 4:00 PM UK / 8:00 AM PT (5:00 PM CET) Daniela Herrmann, Mission Leader of Dynex Moonshots and CEO & Co-Founder of @DynexQaaS, will be joining the session, bringing real-world perspective from industrial-scale quantum-driven use cases across finance, health, energy, optimization, and AI. The discussion will focus on one of the most consequential leadership frontiers right now, the convergence of AI and quantum computing, not as a future concept, but as a force already reshaping optimization, decision-making, and competitive advantage across sectors. We’ll be exploring: ☞ What quantum computing already means for businesses today (beyond the headlines) ☞ Where AI and quantum are converging, and why this matters now ☞ The leadership and governance gaps as these technologies move from experimentation to infrastructure ☞ What responsible, future-fit leadership looks like in this next computing era Thank you to the Leaders on Purpose team, Dr. Tatiana Tarnowski @tatikazakova and Christa Gyori @christagyori for making this session happen, we’re glad to be part of the conversation.

We’re looking forward to joining the @Lead_on_Purpose - Leadership Circle roundtable on Thursday, 26 February at 4:00 PM UK / 8:00 AM PT (5:00 PM CET) Daniela Herrmann, CEO & Co-Founder of Dynex and Mission Leader of @DynexMoonshots, will be joining the session, bringing real-world perspective from industrial-scale quantum-driven use cases across finance, health, energy, optimization, and AI. The discussion will focus on one of the most consequential leadership frontiers right now, the convergence of AI and quantum computing, not as a future concept, but as a force already reshaping optimization, decision-making, and competitive advantage across sectors. We’ll be exploring: ☞ What quantum computing already means for businesses today (beyond the headlines) ☞ Where AI and quantum are converging, and why this matters now ☞ The leadership and governance gaps as these technologies move from experimentation to infrastructure ☞ What responsible, future-fit leadership looks like in this next computing era Thank you to the Leaders on Purpose team, Dr. Tatiana Tarnowski @tatikazakova and Christa Gyori @christagyori for making this session happen, we’re glad to be part of the conversation.

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Last month, Prof. Dr. Kathrin G. Kind joined Dynex as our Chief Quantum Solutions Officer. Recently, she made the cover feature in The Global Success Review’s 2026 edition (@GSRMagazine), recognized as “Most Visionary Global AI Leaders to Watch in 2026.” Prof. Dr. Kathrin G. Kind frames AI “not as spectacle, but as service”, tools that help people make better decisions in real environments, with real accountability. And she’s very clear that ethical AI isn’t optional, it’s quality management, risk management, and fiduciary responsibility when systems operate at scale. Read the full feature here: theglobalsuccessreview.com/prof-dr-kathri…

@Scobleizer @toouufii 👍👍

AI and infrastructure with @toouufii. Just another intellectual conversation I've had with AI leaders. Will post what Grok learned by watching this in comments below.

The AI economy is growing 8X faster than human transactions. But every payment system was built for monthly human billing. This $500B infrastructure gap is blocking AI commerce from scaling. After 10 years building web infrastructure, here's what I've learned: 🧵