Super Protocol Announcements

Super Protocol wishes everyone a Merry Christmas, partners, developers, and confidential computing enthusiasts alike, a holiday filled with warmth, trust, and secure innovations. On this magical day when the world gathers around the holiday table, Super Protocol reminds you: the real magic is in tech that safeguards your data like an unbreakable vault. May your code run risk-free in TEEs, and your AI agents deliver flawless results every time. Merry Christmas! 🎄🔒 2026 promises breakthroughs in decentralized confidential cloud from self-sovereign AI to seamless collaborations. Thanks for your trust and support in 2025, here's to more in the year ahead! #SuperProtocol #ConfidentialComputing #Christmas2025 #AIsecurity

The week in #AI featured tightening #EMEA regulations, #OpenAI's cyber risk warnings, #Tether's synthetic dataset expansion, #Anthropic's test failure, and #Visa's payment agent progress, highlighting the shift toward secure and practical applications. Let's dive deeper into last week's key developments: 📝 EMEA Regulations Tighten. The #ICO strategy on #AI and #biometrics (AIBS) launched, focusing on #GDPR #compliance, alongside DSIT's Code of Practice for threat protection. Requirements for #DPIA, supply chains, and lifecycle security will accelerate European compliance but raise barriers for #SMBs and non-EU providers. 📝 OpenAI Prepares for Powerful Model Risks. The company warned of rising #cyberattack risks, #vulnerabilities, and social engineering from future models, introducing internal risk audits, added protections, and #government dialogues. This signals the need for #TEE and #confidential #computing in enterprise AI to minimize downtime and #leaks. 📝 Tether Scales Synthetic Data. QVAC Genesis II added 107 billion tokens to reach 148 billion across 19 educational domains, using Option-Level Reasoning for deeper insights. Open-source datasets democratize training, reducing reliance on #proprietary #data and accelerating #agentic #AI in #education and #science.​ 📝 Anthropic Exposes Agentic Limits. #Claude, tested in #WSJ's office vending machine, managed orders and #Slack customer queries but gave away stock for free, including PlayStation 5, fish, and tasers, due to persuasion despite profit goals. The incident underscores autonomy #risks without #guardrails, demanding hybrid human-AI oversight in retail and e-commerce. 📝 Visa Advances AI in Finance. Hundreds of agent-driven #transactions in the pilot confirm tools for financial operations. Rubail Birwadkar forecasts 2026 as the year of mass adoption. This integrates #AI into #payments for efficiency gains but heightens #data #privacy needs for #PII and #fraud #detection. The period balances innovation and risks: from #regulations to practical agents. Synthetic data and safeguards lay foundations for #secure #scaling, but #agentic #failures demand ethical frameworks for #market #trust.

In the latest episode of "Confidentially Yours," Rory Pilgrim, Product Manager at Google Research, a sister organization to Google DeepMind, shares his expertise on deploying #AI in #healthcare. With an electrical engineering and law background from Australia, he bridges teams of engineers, clinicians, marketers, and legal experts to scal #AI for #medical imaging and #language #models without end-to-end systems. 👉 Full video: 🔗 https://youtu.be/WMjrzQhXcBA The discussion covers Google's strategy for #clinical #AI, from binary cancer screening (mammography/lung CT recall) to generative #MedGemma. This open model (4B/27B params) processes image/text inputs for textual outputs only, tackling access, #regulations, and #privacy. Central to the episode are three pivotal use cases illustrating #practical #AI #deployment. ✅ First, in cancer screening for breast and lung applications, #AI #models perform binary classification to recommend further imaging or biopsy, rigorously evaluated via sensitivity (for example, aiming to capture a very high share of true positives to avoid missing cases), specificity (minimizing false positives), and ROC curves, aiming to exceed human radiologist performance amid inherent variability in scanners, populations, and expertise. Usability remains critical: even high-accuracy models fail if interfaces confuse clinicians, emphasizing human factors engineering. ✅ Second, #MedGemma exemplifies this progression, ingesting #multimodal #data to produce coherent reports; its 27B variant demands substantial #compute (e.g., four #A100 #GPUs or #NVIDIA B200s with #confidential #computing support) for efficient inference, validated through high-quality, independent evals that prioritize results over #training #data volume while mitigating noise. ✅ Third, #confidential #computing emerges as essential for production inference on live #patient #data, integrating Google Cloud with partners like Super Protocol and NVIDIA to ensure #verifiability, prevent #leaks, and enable #secure fine-tuning, addressing clinics' reluctance to share sensitive datasets through #anonymization approaches that help safely use patient data for research and model fine-tuning, plus the need for #model "memory" to adapt to local contexts like COVID-era CT anomalies without persistent context windows. Google empowers #developers with #documented #models for custom solutions, advocating memory breakthroughs, fast feedback, and #innovation exceeding humans while ensuring #safety and #confidentiality.

And once again "Behind the Code" with me, Nukri Basharuli, founder of Super Protocol. Let's zoom in on our vector for the next six months: narratives and focus. We're not chasing guides or deep #tech dives. We're mapping the geological shifts in #confidential #computing and #decentralized #AI. Today, I'll share where Super Protocol is heading to dominate this space. In 2025, we laid the foundation. We pushed #Web3 hard, partnering with funds, building recognition, creating buzz that still echoes in Web3 companies. #Web2 advanced too, within our resources. But 2025 was sharper than 2024. We knew exactly what we were building. The coming 2026 demands hyper-focus: large-scale projects that amplify us 10x, 100x. Organic growth won't cut it. My bet? A marquee investor, partner, or industry titan. Secure the round, fuel the strategy. #Web2 #business fits better here. Web3 feels exhausted (beyond BTC, ETH, Ripple, stablecoins; the rest is just noise without real business). Yet Web3 evolves: the bubble bursts, real-economy players enter, #tokenization drives #decentralization. So what's Super Protocol's vector? Real economic sectors at the intersection of #decentralization, #crypto, and #AI. With our resources, we'll anchor 1-2 traction vectors, client pipelines for revenue and cashflow, while hunting a massive domain win. We're in top-tier Silicon Valley talks right now on decentralized, high-performance confidential computing. Domains primed to explode: #defense, #transport, #public #infrastructure. Our infrastructure isn't #viral #apps; it's #scalable, #trustless #enclaves. Our strategy: Build market demand for #confidential #services or become the #industry standard. Recall how Google elevated Android above rivals or OpenAI claimed AI's throne. We need a transformative partner for whom #confidentiality isn't just a feature, but an industry rewire. Venture thrives on big numbers: trillion-scale impact, not kitchen experiments. This is our story and my vision. Super Protocol powers the shift from vulnerable centralized #clouds to ownerless, #verifiable #compute. We're pioneers because #GPUs for confidential #AI matured just recently. The next six months: refine the narrative and gain traction. Сonfidentially yours, Nukri.

a16z and OpenRouter, released a unique study on real-world #LLM usage. They analyzed over 100 trillion tokens of live production traffic over a year. OpenRouter is a unified #API for hundreds of LLM models from #OpenAI, #Anthropic, #Google, #DeepSeek, #Qwen, and others. It handles a massive stream of developer requests, providing an honest picture of practical #AI usage. The most unexpected finding: more than half of open-source model usage goes to role-playing games and storytelling. Not coding or work tasks, but chatting with characters and creating stories. The trillion-dollar industry largely relies on conversations with virtual friends. Open-source models now hold about 30 percent of the market. A year ago it was under 10. DeepSeek and Qwen are growing especially fast. Programming is the second largest use case by volume. #Claude from #Anthropic leads among proprietary #models for coding (60 percent+ among closed models), despite the premium price. Half of all tokens now pass through reasoning models. Models think, plan, and use tools. Asia grew from 13 to 31 percent of traffic. China became the largest consumer after the US. Price has little impact on demand. Users pay premium for quality. The first model to perfectly solve a task captures loyalty forever, the "glass slipper" effect. Small models are losing share. Medium models (15-70 billion parameters) offer the best price-quality balance. The full 36-page report is essential for anyone building AI products and infrastructure. 🔗 https://openrouter.ai/assets/State-of-AI.pdf #AI #LLM #OpenRouter #a16z

According to the latest IDC report "Unlocking the Future of Data Security: Confidential Computing as a Strategic Imperative," #Confidential #Computing is no longer a technology for the elite and is becoming a key element of modern security and #trust strategies. Already 75 percent of organizations are testing or using Confidential Computing, with another 19 percent planning deployment within the next 24 months. This indicates the #technology's transition to mainstream adoption. Public #clouds lead in adoption (71 percent), but hybrid and on-premises solutions are growing (45 percent and 36 percent) due to #data #sovereignty requirements. IDC highlights three key benefits: 🔹 data integrity — 88 percent 🔹 confidentiality — 73 percent 🔹 compliance — 68 percent This is critical for #AI and #ML workloads. Confidential Computing enables secure #multiparty #collaboration, protected AI workflows, and data #clean #rooms for multi-partner analytics. The main implementation barriers are attestation validation, skills gap, and perception as niche technology. Today, Confidential Computing is becoming the standard for #protecting #data in use, on par with #encryption at rest and in #transit. It forms the foundation for secure #AI #ecosystems and #compliance. 👉 Full report: 🔗 https://bit.ly/3Y0NzHS #ConfidentialComputing #TEE #AI #DataSecurity

The latest episode of the interview series Confidentially Yours is now live! We feature Alex Pyatigorskiy, Chief Product Officer at Vama (messaging platform with P2P payments and AI agents). Alex brings 25 years of experience from #Disney IP management (tracking usage without tampering), telecom big data (#RTB advertising systems), and #fintech #innovation. #Telecoms face commoditization turning into utilities with shrinking margins. Banks collect salary geo habits data but cannot monetize due to #GDPR #PII restrictions. #AdTech suffers post-purchase loops showing irrelevant ads. #AI #agents fail in encrypted messaging due to end-to-end encryption limits. #Confidential #computing provides the solution through Trusted Execution Environment (TEE) technology. This hardware-isolated environment ensures complete data confidentiality. Infrastructure providers and third parties cannot access #data or #AI computations. #TEE enables precision #collaboration without PII exposure. Opportunities unlocked include: 🔹 RTB targeting one person via telco geo plus behavior data without privacy leaks 🔹 TEE Data Management Platforms fixing adtech post-purchase loops 🔹 Banks enabling proactive offers using salary geo habits data 🔹 Vama chat plus payments plus AI bill splitting in encrypted messaging 🔹 Agentic AI personalization without data exposure 👉 Full podcast by the link 🔗 https://youtu.be/429JMYQFQCE Subscribe to the #Confidentially #Yours channel to stay tuned for inspiring conversations with leading experts in #AI, #Telco, #Fintech, #Confidential #Computing, and #DataPrivacy!

Since early December, the #AI world has witnessed reports on growing divides between countries, calls for #regulatory #liberalization, mega-deals in #data №platforms, innovations in energy efficiency, and recognition of industry leaders, signaling accelerated enterprise adoption amid rising risks. ⁉️ What This Means for the Market: 🔹 Global divides are deepening. The #UNDP report "The Next Great Divergence" from December 2 highlights how AI exacerbates inequality between developed and developing nations. "AI ushers in a new era of growing inequality between countries," noted Philip Schellekens, Chief Economist at UNDP APAC, in Reuters. Developing economies risk falling behind without investments in infrastructure, reskilling, and local AI models, sparking talent migration and geopolitical tensions. 🔹 Europe is liberalizing regulations. On December 4, #SAP's CEO publicly called to soften EU AI rules to preserve competitiveness, as reported by Reuters. This push for a more coordinated and less bureaucratic approach could speed up AI adoption in business but weaken ethics and #privacy #standards, opening doors for Big Tech dominance in the single market. 🔹 Data is consolidating under #GenAI. On December 8, #IBM announced the acquisition of #Confluent for $11 billion to build a "smart data platform" for AI agents and generative AI, per the official press release and media analyses. The deal merges streaming data with enterprise AI, accelerating monetization in #fintech and #retail while bolstering IBM's position against #hyperscalers like #AWS. 🔹 Infrastructure is becoming #greener and more #scalable. At re:Invent 2025, #Amazon and #Nvidia announced "AI Factories" for enterprises with autonomous agents. 🔹 AI architects are crowned stars. #Time editor-in-chief Sam Jacobs wrote: "Person of the Year is a powerful way to draw the world's attention to the people who shape our lives. And this year, no one has had a greater impact than those who invented, developed, and built artificial intelligence." This recognition will fuel the hunt for talents like Jensen Huang and investments in next-gen #innovations, strengthening hubs in the US and Asia. The period marked a shift from hype to enterprise AI, focusing on data, energy efficiency, and regulatory compromises. However, UNDP reports underscore inequality risks, demanding a balance between innovation and social sustainability for long-term market growth.

In the new episode of Confidentially Yours, we spoke with George Held, Chief Technology and Information Officer (CTIO) at #Azercell Telecom, Azerbaijan's leading #telecommunications provider. George explained why telecom data is "more intimate than money". It tracks every call, message, and movement. This data powers network optimization and retail geoanalytics (bakeries at traffic lights, pharmacy clusters in Tashkent). #CapEx savings significantly exceed #B2B data sales revenue.​ We explored multi-silo data enrichment: telecom location data (30M+ customers, superior to #Google and #Meta in emerging markets) with banking scores (2M customers) and FMCG retail history creates 360°of customer profiles. As result: hyper-personalized offers like "right yogurt at the right moment" while navigating regulatory and trust challenges between telecoms, banks, and regulators.​ Super Protocol provides the solution through data "clean rooms": #confidential multi-party computation ensures no participant sees others data, proving compliance without human intervention. Regulators approve these no-human protocols, enabling #safe #collaboration.​ George positions telecoms as #AI infrastructure leaders with #sovereign data centers, low-latency backbones, and #confidential last-mile delivery. It`s perfect for edge AI in transit economies.​ Bold forecast: telecom services will be free in 10 years, #monetized via data marketplaces. Future leaders prioritize creativity over coding. "Information pollution" eliminated through precise, relevant communications.​ 👉 Watch the full episode to see how #confidential #computing with telecom data powers privacy-first #AI. 🔗 https://youtu.be/S22r1_Gj8X0 Subscribe to #Confidentially #Yours for expert insights on #data #privacy #Telecom #DataAnalytics #EdgeAI and secure #AI!

The week was eventful: #AI #models disappointed in trading, #decentralized #AI #platforms are gaining momentum, and #confidential #computing discussions highlight a revolution in #data #privacy. Selected top-5 news for those tracking #Web3, #AI, and #confidential #computing.​ 🔹 #AI for #crypto #trading at "human" level suffers losses: Per NOF1.ai, models like DeepSeek, ChatGPT, Gemini AI/ML Services, Qwen3, Claude, Grok and others got $10k each on exchanges but all went negative up to 80% capital loss. Strong analysis didn't save them from human-like risks: overtrading and indecision.​ 🔹 #Cocoon launch: #Decentralized #AI platform for confidential computations on #TON #blockchain lets #GPU owners rent power for #Toncoin, processing encrypted queries without intermediaries like #Amazon or #Microsoft. Telegram is the first client, emphasizing #confidential #computing: data encrypted, even providers can't see it. #GPU owners earn #TON.​ 🔹 Intel Corporation's "quiet revolution" in #confidential #computing: In a podcast, Paul O'Neill from Intel discussed widespread rollout of confidential #VMs (#TDX) in clouds. Super Protocol leads in end-to-end #confidential #AI with NVIDIA #GPUs. Germany's e-Rezept system by Gemmatik and AOK processes ~2M prescriptions daily via Intel SGX confidential computing, securing privacy for 50–60M citizens.​​​ 🔹 #Alphabet heads to $4T on AI: Google stock surged thanks to #AI infrastructure, setting 2026 investment tone. #Meta eyes billions in #Google #TPU chips, rivaling #Nvidia.​ 🔹 Zoom integrates #AI Companion 3.0 with Nvidia: New version summarizes meetings, automates tasks; partnership expands to #finance and #healthcare. Analysts see #SaaS growth from #AI.​ #AI hits limits in trading but thrives in #decentralized and #private systems from #TON to #TEEs. Confidential computing becomes standard, especially with Super Protocol. Watch neo-clouds and agentic AI: data privacy is key to scale.

In the new episode of Confidentially Yours, we spoke with Paul O’Neill from Intel. He shared insights into the #confidential #computing ecosystem and explained why, by 2025, trust in the cloud has been seriously undermined: national and cross-national threats are growing, data breaches are accelerating, and both #data and #AI #models are becoming critical infrastructure. We explored how #confidential #VMs and trusted execution environments (#TEEs) are already being adopted across major industries such as financial services, retail, social platforms, and advertising in the post–cookie deprecation era. We placed special focus on the #healthcare sector, including Germany’s digital prescription system, where over 2 million prescriptions per day are processed through #confidential #computing. Paul also spoke about Intel’s collaboration with Super Protocol and Nvidia to build end-to-end confidential AI: secure #CPU–#GPU integration, protection of data and models, and the central role of attestation in proving computational integrity. Finally, we looked into the future: #verifiable #AI, new requirements for proving data processing integrity, and the challenges of #agentic #AI, where autonomous agents must operate only within #verifiable and #confidential domains. 👉Watch the full episode to see how #confidential #computing is quietly becoming the new default for secure #AI in the #cloud. 🔗https://youtu.be/ZFKtV1XZGRw

#Trusted #Execution #Environments (TEE) are hardware-protected isolated areas of the processor that ensure #confidential and integral code execution and data processing. In the context of #Web3 and decentralized artificial intelligence (#DeAI), #TEE become a critically important infrastructure layer that solves fundamental problems of security, #privacy, and #trust. The growth of #decentralization and the widespread adoption of #AI emphasize the need for reliable protection at the deepest level of infrastructure, confirmed by massive investments from giants like Nvidia, Google, and Meta. In 2024, Nvidia’s investments in AI and related technologies reached around $1.5 billion, and by 2025 this figure rose by more than 30%, reflecting the industry's rapid growth. Google and Meta show similar rates, investing billions in #confidential #computing and #data #privacy. One of the key problems hindering full use of #AI in critical fields; #medicine, #finance, and the public sector, is frequent and costly information leaks. For example, in 2024–2025, several major incidents occurred involving the compromise of medical and financial data, causing billions of dollars in damage and undermining user trust. The solution to this dilemma is #TEE. Their #hardware #isolation #guarantees that data and computational logic are reliably protected from any external influence and unauthorized access, including system administrators and infrastructure operators. This enables businesses to safely share data, run #AI #computations, and scale their solutions without #risk of #leaks. Industry leaders such as Intel, AMD and AWS are already actively in tegrating #TEE into their cloud services. Chainlink uses TEE to strengthen #oracle security, while Oasis Labs offers protected computing platforms based on them. This forms a new standard of security and trust in the #Web3 era. Super Protocol, in partnership with leading #technologies, has created a fully #decentralized #cloud based on TEE, allowing users to receive guaranteed #confidential and #verifiable #computing services at the hardware level. This architecture opens the way to a completely new level of #privacy and #scalability for #AI and #Web3 applications. The prospects for TEE development as the main #privacy #technology are unequivocal: as regulatory requirements and attention to privacy grow, #TEE will become an indispensable foundation for building trusted digital ecosystems in medicine, finance, the public sector, and beyond.

In today’s fast-paced world, #technology is evolving at an unprecedented rate, and the #AI #industry is no exception. Over the past week, several significant events have taken place that both reflect and accelerate this trend, while also raising new questions about security and future #development. 🔹 Nvidia posted impressive financial results for Q3 2025: revenue reached $57 billion, up 62% year-over-year, while net profit increased by 65% to $32 billion. These figures dispel concerns about an #AI #bubble and reinforce #confidence in the long-term sustainability of the market. 🔹 Google Cloud announced plans to increase its #AI #computing capacity a thousandfold by 2030, #doubling #approximately every six months. This massive expansion is intended to support the #development of more powerful and faster AI models and their integration into multi-cloud and #hybrid #environments. 🔹 Perplexity introduced its AI browser #Comet for #Android, featuring voice control and agent functions for enhanced interaction with #AI on #mobile #devices. This move broadens the accessibility of AI-powered interfaces for users on the go. 🔹AMD, Cisco and Saudi AI company Humain announced a joint venture aimed at delivering world-leading #AI #infrastructure solutions, signaling the global expansion of #collaboration in AI and technology sectors. The week demonstrated that as AI capabilities rapidly grow, ensuring its reliability and security becomes increasingly important. The financial success and ambitious plans of market leaders underscore strong #confidence in #AI’s potential, while innovative products continue to make these #technologies accessible to wider audiences. In such a dynamic field, staying informed about both technological advances and ethical considerations remains crucial.

In the first episode of #Confidentially #Yours, we spoke with George Jimsheleishvili, Associate Scientist at the University of Miami, about a critical issue in medicine: every year, thousands of patients suffer serious injuries resulting in loss of motor functions. Despite the abundance of #medical #data, its fragmentation and strict #regulatory restrictions significantly hinder data sharing and the widespread adoption of #artificial #intelligence in medical research. 🩺 The core problem is that patient data is closed and isolated, which slows down #AI research and progress. 🛡 Super Protocol ensures complete #confidentiality, allowing #AI #models to learn from data without exposing it. This unlocks new opportunities for #collaborative clinical studies and trusted #AI in #medicine. 👉 Watch the episode and subscribe to stay tuned for important insights!

We're launching "Confidentially Yours," Super Protocol's exclusive interview series! Each episode delivers real-world insights from different areas C-level & tech leaders breaking new ground with #AI #agents and redefining #data #privacy in the age of #confidential #computing. Join us for open conversations with visionaries from #Google, #University of #Miami, #Intel, and the teams who are making trusted, #verifiable #AI a reality from #healthcare to #advertising. 👉 Subscribe and stay ahead with every new Confidentially Yours interview.

Confidential Computing is now at the heart of enterprise security and #AI strategy. Gartner’s new Technology Trends Playbook for 2026 ranks Confidential Computing in the top 3, calling it the number one enabler for #secure #AI, analytics, and compliance for the next 1-3 years. Why? Because “protecting data in use” is now the biggest blocker to real enterprise AI adoption and CIOs must align CC with #privacy, #compliance, and cloud objectives. Report insights: 🔹Strict privacy laws & localization rules make in-use data protection critical 🔹Dedicated budgets for Confidential Computing are becoming the norm 🔹By 2029, 75% of sensitive workloads will require protected TEEs on any cloud 👉Full report: 🔗https://bit.ly/technology-trends-2026 At Super Protocol, we’re operationalizing CC for clients today: scalable clusters, 2 weeks-to-production, confidential marketplace, #SWARM redundancy, and turn-key integrations for both cloud and on-prem. The pace of adoption is accelerating. The real question is are you future-proofing now, or playing catch-up later? #ConfidentialComputing #Gartner2026 #SecureAI #CIO #ArtificialIntelligence #CloudSecurity #SuperProtocol

The combination of #AI and #DeFi is not just the next step in the evolution of #finance, but a true breakthrough. Artificial intelligence automates market analysis, optimizes investment strategies, and helps create personalized financial solutions, while decentralized finance (#DeFi) makes these services accessible to everyone, without reliance on banks or intermediaries. But the question arises: how can we trust #artificial #intelligence to make real financial decisions when it concerns your money? In response to this challenge, Super Protocol implements Trusted Execution Environment (#TEE) technology: a #hardware #environment where all computations take place in a secure and isolated space. Even the infrastructure owners cannot access the data and code of #AI #agents. Moreover, Super Protocol applies a dual protection principle, with TEE solutions available for both #CPUs (Intel TDX, AMD SEV-SNP) and #GPUs (NVIDIA H100, H200, Blackwell), and each run undergoes mandatory automatic certification before launch. What does this mean for businesses and users? 🔹 Your AI-driven portfolio management platform operates privately, without revealing your strategies. 🔹 AI credit scoring analyzes data but “cannot see” your personal identifiers: all the logic is executed inside a hardware-protected container. 🔹 Yield farming strategies can be tailored to your risk profile, analyzing your history in a way that no one except the system itself can access it — without any “human factor.” 🔹 All computations and recommendations are fully verifiable by you: no room for manipulation, model tampering, or data leaks. For example: An investor places funds on a #DeFi platform connected to Super Protocol. Portfolio rebalancing decisions, monitoring new tokens, and news analysis are fully automated through #AI #agents running on the #TEE. The investor is confident that neither the aggregator, nor the hardware provider, nor any third parties have access to the details of their strategy or financial status. Similarly, Super Protocol can be applied to: ✅ Proper pricing of derivatives and stablecoins without public disclosure of algorithms. ✅ Auctions where AI manages bids with predictable results but protected internal logic. ✅ Personal Robo-Advisors and financial assistants. This creates the foundation of next-generation #Web3 services that are #confidential, #autonomous, and fully #verifiable, where your security is built not on marketing promises but on real hardware-cryptographic guarantees.

It's me again, Nukri Basharuli, founder of Super Protocol. In today's post, I want to share how the concept of #decentralized computing is evolving with our #Super #SWARM, and how this technology helps organize trusted #AI at #scale. In my previous post, I mentioned that, from my point of view, computations have the right to be called #decentralized only when they do not depend on the will of any controlling entity to run or not run. Unfortunately, many modern projects call theirs decentralized computing, for example, ordinary #DePINs, where some #hardware is pooled together and called #decentralized #computing. Most often, #nodes belong to specific owners and can be shut down at any time, which destroys the very idea of #decentralization. The essence of #Super #SWARM is a self-organizing network where each node operates independently but can take over tasks of others if they become unavailable. This ensures true fault tolerance and uninterrupted operation. No one and nothing in the network is a single point of control or failure. Today, our infrastructure is #decentralized in the sense that our nodes interact programmatically with each other, providing the necessary #scalability. While traditional clouds use centralized #orchestrators, which create bottlenecks and failure risks, #Super #SWARM has no such orchestrators: each #node controls its part of the system and actively collaborates with neighbors. This eliminates bottlenecks and builds a truly decentralized ecosystem. I also believe that in the future, instead of one universal #AI, there will be many personal #intelligent #agents working anonymously, protecting user data while leveraging joint capabilities. #Super #SWARM is a platform enabling each user to own and control their computations using a secure and #scalable #environment. This is only the beginning of a great #revolution in #decentralized, #confidential, and #trusted #AI. Join us in building a future where technology serves freedom and privacy.

🏆 The moment you've been waiting for is here! Today, the distribution of rewards officially begins for the #Super #Hackathon, and the prize pool will be allocated according to team rankings. 🚀 The Super Hackathon was a #global #Web3 event designed to showcase the scalability and security of the Super Protocol cloud under real #blockchain load. Participants migrated existing open-source #decentralized #apps to #opBNB, integrated #confidential #Oracle #data streams, and generated #verifiable #transactions to stress-test performance. Our goal was to prove how decentralized services can operate efficiently, #confidentially, and #transparently at scale. 🔹Total Number of Teams: 22 🔹All Submitted dApps: 126,044 🔹All Transactions: 15,374,528 🥇 The Super Hackathon featured a $20,000 USDT prize pool, distributed among the top 10 teams to honor both the champions and the strongest contenders: 1️⃣8000 USDT: 13,254 dApps | 3,655,981 transactions 2️⃣4000 USDT: 13,015 dApps | 4,155,354 transactions 3️⃣3000 USDT: 13,334 dApps | 4,157,034 transactions 🎉 Prize payouts will continue through November 28. Congratulations to all winners and participants on incredible achievements! Stay tuned and follow us on social media to be the first to know about our next Super Hackathon. 🔗https://superprotocol.com Be part of the Super Hackathon community – don’t just build, connect!