What the FLock is the podcast channel of FLock.io, bringing you the latest insights, stories, and updates on sovereign AI, private deployment, and real-world enterprise AI adoption.
FLock2Moon
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6 episodes
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Podcast Overview
What the FLock is the podcast channel of FLock.io, bringing you the latest insights, stories, and updates on sovereign AI, private deployment, and real-world enterprise AI adoption.
Language
🇺🇲
Publishing Since
6/17/2025
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Recent Episodes
July 24, 2026
The City That Predicts Itself: Arakon on Predictive Intelligence and Sovereign AI
<p>Most governments run on hindsight. A road cracks, then someone fixes it. A tube delays, then commuters scramble to find another route.</p><p><br /></p><p>Two Imperial College London students think governments can do better.</p><p><br /></p><p><a href="https://www.linkedin.com/in/dhruv-syam/" rel="ugc noopener noreferrer" target="_blank">Dhruv Syam</a> and <a href="https://www.linkedin.com/in/viktorsmirnov24/" rel="ugc noopener noreferrer" target="_blank">Viktor Smirnov</a> are building Arakon - a predictive intelligence layer for government that turns city data into a digital twin, allowing policymakers to test decisions before implementing them.</p><p><br /></p><p>The proof? They've segmented Hammersmith & Fulham into 17,000 road chunks, each scored for the likelihood and severity of future damage. That helps the council prioritise maintenance before small issues become costly disruptions.</p><p><br /></p><p>The same engine can scale beyond roads to bigger targets: tube closures, traffic jams, surge pricing. Transport for London might want to take a look.</p><p><br /></p><p>The clever part is that they don't do it by surveilling our data. The raw data never leaves the government's servers. Models are trained locally without sharing it out. That's federated learning, the technology FLock is providing.</p><p><br /></p><p>What starts as a pilot in Hammersmith could become a global public good. Built in the UK, not the Bay, it's another piece of the bigger picture behind the UK's sovereign AI ambitions.</p><p><br /></p><p><strong>Timestamps:</strong></p><p>00:00 - 03:45 | Meet Dhruv Syam & Viktor Smirnov: Reimagining government with predictive AI and city-scale digital twins.</p><p><br /></p><p>03:45 - 09:40 | Why cities should be modelled as connected systems: Road maintenance, NHS pressure, and cross-domain signals reveal the second- and third-order effects of policy decisions.</p><p><br /></p><p>09:40 - 14:43 | From potholes to predictions: How AI forecasts road deterioration before it happens.</p><p><br /></p><p>14:43 - 18:40 | Beyond roads: Predicting traffic, tube closures, and city-wide disruption with the same AI engine while keeping sensitive government data secure.</p><p><br /></p><p>18:40 - 32:10 | The case for sovereign AI in the UK, how federated learning enables it, and what makes FLock the right infrastructure for privacy-preserving public-sector AI.</p>
July 6, 2026
Your AI Agent Has a Backdoor: Tevy Kuch and Justin Lam on Closing It
<p>Most AI agent security assumes trust instead of proving it. Tevy Kuch and Justin Lam built Carapace to intercept every message an AI agent sends or receives and generate cryptographic proof that each security scan ran correctly, before the model ever sees the input.</p><p><br /></p><p><a href="https://www.linkedin.com/in/tevy-k-964892192/" target="_blank" rel="ugc noopener noreferrer"><strong>Tevy Kuch</strong></a> — Data Scientist, Co-founder, Oneiris Mind </p><p><a href="https://www.linkedin.com/in/justin-lam-b8306a223/" target="_blank" rel="ugc noopener noreferrer"><strong>Justin Lam</strong> </a>— Electrical and Electronics Engineer (Imperial College), CTO and Co-founder, Oneiris Mind</p><p><br /></p><p>Tevy and Justin met building Carapace for the Imperial College x FLock Blockchain for Good Alliance hackathon. Oneiris Mind, their primary venture, is a privacy-first EEG wearable — which is why the same hardware-rooted trust model shows up in both projects.</p><p><br /></p><p><strong>Chapters</strong></p><p>(00:00) – Intro: guests Tevy Kuch and Justin Lam</p><p>(00:40) – Introductions and the Imperial College hackathon</p><p>(02:00) – What Carapace is and why Oneiris Mind needed it</p><p>(04:15) – Why FLock's decentralized, trust-minimized network was a natural fit</p><p>(06:30) – The four-vector attack model: prompt injection, credential infiltration, goal hijacking, absence of proof</p><p>(09:00) – Why this is urgent: healthcare, finance, and auditable AI decisions</p><p>(10:30) – Hardware trust: Intel SGX enclaves explained</p><p>(13:00) – From hackathon prototype to manufactured EEG board</p><p>(15:30) – Rebuilding Carapace's stack inside Oneiris Mind</p><p>(18:00) – End-to-end security: EEG signals, wireless capture, and ARM TrustZone</p><p>(21:30) – What FLock and BGA support could look like</p><p>(24:00) – EEG data, brainwave states, and personalized models</p><p>(28:00) – Shrinking the wearable: flex PCB and form factor</p><ol><li><strong>Trust has to be provable, not assumed.</strong> Carapace exists because agent inputs were unverified and no one could confirm a security layer had actually run.</li><li><strong>Carapace runs three parallel cryptographic layers over every message, with zero code changes.</strong> It's built to route through OpenClaw agents without touching the underlying agent code.</li><li><strong>The architecture targets a specific four-vector attack model.</strong> Prompt injection, credential infiltration, goal hijacking, and the absence of cryptographic proof of execution.</li><li><strong>Software alone doesn't close the gap — hardware does.</strong> Intel SGX isolates encryption in a protected memory region even if the OS is compromised; ARM TrustZone does the equivalent on microcontrollers.</li><li><strong>The same problem shows up in Oneiris Mind's EEG wearable.</strong> Personal brain-wave data needs hardware-rooted security for the same reason agent decisions do — the founders built the device from the hardware layer up rather than sourcing proprietary hardware.</li><li><strong>Compliance is a real driver, not an afterthought.</strong> Frameworks like FCA and GDPR increasingly require audit trails that prove a scan ran, at a specific time, with a specific result.</li></ol><p><br /></p><p><strong>Key concepts</strong></p><ul><li><strong>Carapace:</strong> An AI agent security proxy that intercepts every message to and from an OpenClaw agent and routes it through three parallel cryptographic verification layers before the model sees the input.</li><li><strong>Four-vector attack model:</strong> The four failure modes Carapace defends against — prompt injection, credential infiltration, goal hijacking, and absence of cryptographic proof of execution.</li><li><strong>Intel SGX (Software Guard Extensions):</strong> A hardware enclave on x86 CPUs that isolates a protected memory region, keeping encrypted operations secure even if the operating system itself is compromised.</li><li><strong>ARM TrustZone:</strong> A hardware security extension on ARM microcontrollers that isolates peripherals into separate protected zones — the microcontroller-scale equivalent of SGX.</li><li><strong>Zero-knowledge proof (ZK-STARK):</strong> Lets a party prove a computation ran correctly without revealing the underlying data, so a security scan's result can be verified by any third party without trusting Carapace or FLock as a middleman.</li><li><strong>Oneiris Mind:</strong> Tevy and Justin's core venture — a privacy-first EEG wearable applying the same hardware-rooted trust model to personal brain-wave data.</li></ul><p><br /></p>
May 18, 2026
A FLock Love Story: Elizabeth Lui on Ecosystem, Decentralized AI, and Real-World Impact
<p>In this episode of What the FLock, host Sameeha Rehman speaks with <a href="https://x.com/elizabethluihy" target="_blank" rel="ugc noopener noreferrer">Elizabeth Lui</a>, Head of Ecosystem at <a href="www.flock.io" target="_blank" rel="ugc noopener noreferrer">FLock</a>, about her path from Hong Kong and political science into software engineering, blockchain, and decentralized AI.</p><p><br></p><p>Elizabeth traces her journey through human rights work, university research, computational social science, and a move to the UK. She explains how she met FLock founder <a href="linkedin.com/in/jiahao7sun/?skipRedirect=true" target="_blank" rel="ugc noopener noreferrer">Jiahao</a>, joined as an early engineer, and now works across research, technical product management, and ecosystem partnerships.</p><p><br></p><p>The conversation covers FLock’s mission to decentralize and democratize AI development, its products including AI Arena and federated learning on blockchain, and a UNDP pilot in the Dominican Republic that uses AI, smart contracts, and DAO governance to support rural women’s agricultural collectives with transparent, automated insurance payouts.</p><p><br></p><p><strong>Timestamps</strong></p><p>00:00 — Intro: What the FLock, guest Elizabeth Lui</p><p>00:38 — Growing up in Hong Kong</p><p>01:20 — Arts, history, literature to politics at university</p><p>01:58 — Web3 as political systems</p><p>04:20 — NGO and early research career</p><p>05:35 — Computational social science and Python</p><p>06:23 — Twitter data for social science</p><p>07:35 — Move to the UK</p><p>09:18 — Oxford, work ethic, and research ambitions</p><p>13:08 — Tech bootcamp and software engineering in London</p><p>14:21 — Path toward blockchain engineering</p><p>15:21 — Meeting Jiahao and discovering early FLock</p><p>17:42 — Joining FLock as an early team member</p><p>18:19 — First impressions of the FLock team</p><p>24:00 — Explaining FLock to non-technical listeners</p><p>26:29 — Decentralized AI experience before and at FLock</p><p>28:11 — Research, TPM, and head of ecosystem</p><p>33:45 — UNDP x Dominican Republic pilot</p><p>37:49 — Hackathons, crowdsourced data, and AI Arena for niche models</p><p>42:31 — FLock’s next 3-5 years</p><p>45:21 — Rapid fire: AI, colleagues, Turing, yoga, and privacy</p><p>48:25 — UK health data leak discussion</p><p>51:03 — If FLock were a song</p><p><br></p><p><strong>Key Takeaways</strong></p><p>1. Web3 is political, not only technical.</p><p>Consensus, incentives, and punishment of bad actors are governance questions. Web3 implements them in code and protocols.</p><p><br></p><p>2. Decentralized does not automatically mean democratic.</p><p>FLock aims for both: open infrastructure and broader participation, voice, and rewards in AI.</p><p><br></p><p>3. Privacy is underweighted in AI.</p><p>Over-collection and poor handling of data, especially sensitive data like health records, can create harm that is hard to undo.</p><p><br></p><p>4. Niche, high-impact problems need different infrastructure.</p><p>Large AI vendors may not build models for every local need. Decentralized training and incentives, such as AI Arena, can help fill that gap.</p><p><br></p><p>5. Real-world pilots matter.</p><p>The Dominican Republic project connects on-the-ground data collection, fine-tuned models, transparent payouts, and community governance into one end-to-end use case.</p><p><br></p><p><strong>Key Terms</strong></p><ol><li><strong>Decentralized AI: </strong>AI development and training not controlled by a single central party.</li><li><strong>Democratic AI:</strong> An approach where more people can participate, govern, and benefit from AI development.</li><li><strong>Federated learning: </strong>Training models without centralizing sensitive raw data.</li><li><strong>AI Arena: </strong>FLock’s decentralized training platform with <a href="https://www.kaggle.com/" target="_blank" rel="ugc noopener noreferrer">Kaggle</a>-like rewards via smart contracts.</li><li><strong>FL Alliance: </strong>Federated learning on blockchain, designed to be privacy-preserving across parties.</li><li><strong>DAO: </strong>On-chain governance for collectives, such as loan and insurance decisions.</li></ol><p><br></p><p><strong>Links</strong></p><p><a href="https://flock.io/" target="_blank" rel="ugc noopener noreferrer">FLock</a></p>
6 total episodes available
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