Scaling Federated Learning, Trustlessly.
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Joined March 2024
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Honored to be among the top 10 finalists at #Web3Unleashed — building decentralized intelligence where AI learns locally, collaborates globally, and preserves privacy by design.
Incredibly grateful for @dmcccrypto and @Bybit_Official
Onward, toward trustless AI infrastructure.
After two weeks of careful evaluation, we are excited to announce the top 10 finalist teams of the Web3 Unleashed Hackathon:
@sorachain_ai, @Forg3tProtocol, @xhypeofficial, @GlintAnalytics, @sora_xor, @YamataExchange, @YumiFinance, @MustaverseLab, @thelastmonarchy, @0xspout.
These standout teams will pitch their breakthrough solutions in DeFi, digital infrastructure, and Web3 technologies to a panel of expert judges, competing for their share of the USDT 140,000 prize pool.
Join us to discover these innovations live and connect with the thought leaders driving the future of Web3: dmcc.ae/crypto
@Bybit_Official
It is so good to see FL adoption in healthcare. Great job @flwrlabs.
A significant milestone for federated AI announced today at the Radiology AI Summit 2026: FLIP, a complete AI stack for training across one of the largest patient cohorts in the world -- including most of London (@onelondon4), is now live and released. FLIP is ready to scale even larger and has the potential to deliver major @NHSuk foundation models along with key new health models.
Launched by the @ai4vbh, together with @flwrlabs and @deepchealth -- FLIP is powered by Flower’s federated learning engine with essential lifecycle components from deepc. Additional partners are providing support for production clinical deployment.
"I am also very excited to highlight our open source collaboration with the great team at Flower Labs. By combining our NHS and health data pedigree with Flower's enterprise frameworks, we now intend to push federated learning into cross-region and cross-border AI development, at a scale not before realised." -- @drjzhn, CTO at the Artificial Intelligence Centre for Value Based Healthcare.
The initiative is delivered in partnership with @gsttnhs, @kingscollegenhs and @kingscollegelon
Congrats to the FLIP team including: Virginia Fernández González, Alex Triay Bagur, Rafael Garcia-Dias, PhD, Joe Zhang and Sebastien Ourselin FREng FMedSci. Along with the Flower team including: @chongshenng, Pedro Mesa and @jafermarq. Incredible to also work with @fmjpfister and more at deepc.
Bringing the next generation of AI infrastructure to the world stage. Touching down. 🇨🇭
#SoraChainAI #Davos2026 #WEF26
Join us live with @eigencloud🙌
🔴 We’re LIVE with @botsnblocks, @frankyupd of @sorachain_ai with @viggy_117 of EigenCloud as they dive into how SoraChain AI built privacy-safe, on-device model training powered end-to-end by EigenCompute.
Tune in now! 👇
xitter.cf/i/broadcasts/1yoJMPkqX…
SoraChain AI retweeted
💰🎤 Last week, our ecosystem partner @dmcccrypto & @Bybit_Official, concluded the third edition of their flagship international Web3 hackathon, awarding a total prize pool of USD 140,000 to the region’s most promising decentralized projects!
With 90 international teams participating across DeFi, Web3 Gaming, SocialFi, Infrastructure, Tokenization, and the newly introduced DeFAI and DeSci tracks, this edition showcased how quickly the next wave of Web3 is taking shape.
As an official partner of the hackathon, CV VC's Founder & CEO Mathias Ruch joined the stellar lineup of judge & took part in a panel discussion outlining the UAE's progressive developments in Web3 regulations, security, and adoption.
🏆 Congratulations to the winning teams - @YumiFinance, @GlintAnalytics, @sorachain_ai, @MustaverseLab , and @0xspout - for demonstrating real innovation and strong technical execution!
Read more about the hackathon on the @dmcccrypto website: dmcc.ae/latest-news/dmcc-and…
📸 Photos credited to @dmcccrypto
SoraChain AI retweeted
🚀 Web3 Unleashed 2025 is officially wrapped!
Proud to partner with DMCC for our third global hackathon — bringing together 90 teams across DeFAI, DeSci, DeFi, Gaming, SocialFi, Infrastructure and Tokenisation.
🌟 Congrats to this year’s winners: @YumiFinance @GlintAnalytics @sorachain_ai Aurayale (@MustaverseLab) @0xspout
Dubai’s Web3 ecosystem is rising fast, and we’re proud to help build what’s next 🌐✨
SoraChain AI retweeted
Incredible week at the @dmcccrypto @Bybit_Official , Dubai.
We’re officially out of stealth with @sorachain_ai
Finished 3rd overall and 1st among AI/Web3 projects.🏆🏆
SoraChain AI retweeted
Yamata @YamataExchange— DeFi Super-App with CEX-grade performance.
SoraChain AI @SoraChain_AI enables secure access to private data and scales federated learning.
Sora Nexus @Sora_Xor — one global ledger, with ~1s finality, data sovereignty, and post quantum security.
#Web3Unleashed #Hackathon
@Bybit_Official @DWFLabs @Cross_Protocol @TopDotCo @Verse_Eight @BGameAlliance @ChainForGood @Cointelegraph @CV_Labs @HackenClub
SoraChain AI retweeted
We had yet another WILD week at EigenCloud.. sharing our weekly recap x 3
> @polymarket x @kaitoai x @eigencloud, bringing a NEW category of verifiable mindshare markets, where Kaito’s AI runs on EigenAI and model inferences are auditable before Polymarket settles payouts
> @monad x EigenAI, powering the next wave of crypto x AI with verifiable inference APIs for agents, programmable systems, and apps across the @monad_eco through their AI Blueprint program
> @Consensys x @infura_io x @DINBuild x EigenCloud, redefining RPC infra with decentralized, accountable AVS-backed verification so infra is actually trustable and open for all
> @jt_rose, our chief growth officer joined the ‘Ethereum for Institutions’ spaces session with @ethereumjoseph, @joechalom, @MikeSilagadze & @gazza_jenks (3.6k live listeners, 34k views) to bring EigenCloud’s verifiable cloud thesis to the institutional crowd
> Our general manager of EigenCompute, @Viggy_117 spoke at TWO panels (Proof of AI and Future of Onchain AI), a keynote and gave media talks during Devconnect, highlighting how easy to run AI agents with smart contract guarantees and pushing the Verifiable AI narrative
> @nima_vaziri, our general manager of EigenAI spoke at a panel alongside @Cameron_Dennis_, @_weidai, and @bneiluj on Trustless Agents and also gave a keynote talk on Verifiable AI. At a panel alongside @CoinFello, @jacobc_eth of CoinFello said, "the work being done with EigenAI on determinism is some of the most important work being done in the space right now"
> @0xrajath, our Protocol Lead went live with @LayerZero_Core community to dive deep on EigenZero, fielding 20+ questions over 1.5 hours on the first cryptoeconomic DVN (165+ live listeners)
> @sorachain_ai x EigenCloud, building a blueprint for verifiable, privacy-safe, and scalable AI using EigenCompute. We published a case study on how they are uing EigenCompute
> @Infinit_Labs x EigenCloud, securing AI agent infra with verifiable execution, protecting DeFi strategies across 32+ protocols with cryptographic guarantees
> Powered by EigenAI x EigenCloud, @modenetwork launched fully transparent, configurable trading agents, with model choice, reasoning logs, and verifiable intelligence
> @Mustafaxyz9 (university 🐐), @LFGAmy (events 👸) and the creators at Devconnect/ The Vault pumped tons of content connecting Eigen and ETH builders, students and teams shipping crypto AI stuff. Go check @eigencloud on X and same handle on IG
> 🐐 @dabit3, our DevRel spoke at MULTIPLE events at Devconnect, highlight being the Trustless Day and the AMA and also posted bangers from breaking down how TEEs unlock private, verifiable apps in 150 seconds to ERC 8004 to ETHGas
> @eigentribe published hosted a bunch of interviews and content pieces across Devconnect. Go watch it on their X
If this is just one week at EigenCloud, imagine what the next few months of verifiable AI, agents and infra are going to look like
EIGEN trenches are very, very very back 🫡 ❤️🔥
more soon!
So much is happening across the Eigen ecosystem, from verifiable AI to triple verified stacks and agent-native infra, that kicking off a simple weekly recap to surface the highlights across our AI and crypto efforts
Here’s what happened just this week:
> LayerZero x EigenCloud launched EigenZero, the first CryptoEconomic DVN, a stake-backed verifier network powered by EigenCloud’s infra and secured by $5M in ZRO
> @sreeramkannan & @PrimordialAA went on @0xResearch to break down EigenZero, the first cryptoeconomic DVN built with LayerZero and powered by EigenCloud
> Reya x EigenCloud : powering @reya_xyz’s trading rollup with Ethereum-native DA for verifiable, low-latency execution
> @0xKydo went on a livestream with @0xSimonJones from @reya_xyz to discuss Ethereum-native onchain financial markets
> Eigen builders gathered at Vault, our multi-house hacker village in Buenos Aires, h/t: @dabit3, @Mustafaxyz9, @LFGAmy ❤️🔥 (loads of buzz on our newly minted IG)
> Integration of @0x4Mica with the ChaosChain triple-verified Stack, secured by @eigencloud
> Users can check their onchain reputation directly on Etherscan with @zerufinance, powered by @eigencloud
> @sreeramkannan discussed w @nevermined_ai on closing the $20B trust gap between smart contracts and agents to his prediction that we'll see the first agent-run unicorn by 2028
> @Viggy_117 discussed about verifiable AI and x402 adoption w/ @Barli_01 , @zeroxmin and @yuxin_pig
and much more!
more soon.
SoraChain AI retweeted
SoraChain AI runs its entire stack on verifiable compute.
Local trainers keep data on-device: encrypted updates get aggregated inside TEEs: AI apps call into a fully verified pipeline.
EigenCompute powers the whole middle layer, the part that guarantees trustless, auditable execution at global scale.
SoraChain AI retweeted
every week im seeing new teams push the limits of what’s possible with EigenCompute + EigenAI
SoraChain AI is one of the few projects im excited about
huge shoutout to the founders @BotsnBlocks and @frankyupd for shipping so fast!
only just the start
more case studies coming, more builders onboarding
EigenCloud
SoraChain AI x EigenCompute x EigenCloud | Case Study
Most AI systems rely on centralized data pipelines, which breaks the moment you need privacy, global participation or verifiable execution.
@sorachain_ai took a different path: they built privacy-safe, globally verifiable AI models using EigenCompute.
Built on EigenCloud ☁️
Here’s what they shipped. 👇
ALT SoraChain AI Uses EigenCompute to Enable Global Federated Learning Infrastructure That Actually Scales | EigenCloud
What happens when AI becomes verifiable, privacy-safe, and globally accessible?
SoraChain AI + @eigencloud are sketching the blueprint.
SoraChain’s use of EigenCompute + EigenCloud shows how verifiable AI can be engineered from first principles - at scale!
SoraChain AI x EigenCompute x EigenCloud | Case Study
Most AI systems rely on centralized data pipelines, which breaks the moment you need privacy, global participation or verifiable execution.
@sorachain_ai took a different path: they built privacy-safe, globally verifiable AI models using EigenCompute.
Built on EigenCloud ☁️
Here’s what they shipped. 👇
ALT SoraChain AI Uses EigenCompute to Enable Global Federated Learning Infrastructure That Actually Scales | EigenCloud
Trustlessness is the foundation.
Everything else is construction on top of it.
The designs will change. The principles will not.
Trustless Manifesto brought me back to 2016, to why I believed in Ethereum in the first place.
This is the design I care about: trustless, math-based systems with credible neutrality as the guiding star.
Grateful you put this into words, @VitalikButerin @ThewizardofPOS
SoraChain AI retweeted
👏 Congrats to the Top 10 finalists bringing bold ideas to life ↓
@sorachain_ai
@Forg3tProtocol
@xhypeofficial
@GlintAnalytics
@sora_xor
@YamataExchange
@YumiFinance
@MustaverseLab
@thelastmonarchy
@0xspout
#Web3Unleashed #DMCCCryptoCentre #DMCC #Hackathon #Bybit #CryptoArk
SoraChain AI retweeted
3 projects merging Blockchain and AI, and How This Connection is Transforming Science
@PrimeIntellect: Instead of relying on centralized data centers like Amazon Web Services, we can enable GPUs to run in a decentralized manner. This makes AI infrastructure more resilient, censorship-resistant, and accessible.
@sorachain_ai: By letting AI models train on data without moving the raw information, universities and research institutions can remain fully compliant with frameworks like HIPAA and GDPR. Data stays where it is, while intelligence is shared and scaled.
@BioProtocol: Researchers can build their own on-chain agents. Each contribution is immutably tracked and attributed, enabling agents to collaborate transparently and compounding scientific progress exponentially.
The future of AI is on-chain and Decentralized Science is evolving into DeSCAI: Decentralized Science + AI.
SoraChain AI retweeted
💡 Meet the Top 10 Finalists of the @dmcccrypto x @Bybit_Web3 Unleashed #3 Hackathon!
The next wave of Web3 innovation is here, and they’re competing for $140,000 this Nov 26 in Dubai. 🚀
SoraChain AI retweeted
2/ It’s a breakthrough for biotech collaboration — but federated learning still doesn’t scale.
Current networks top out at a few dozen partners before trust, coordination, and incentive alignment break down.
That’s where @sorachain_ai comes in.
SLMs are paving path to more sustainable and scalable AI training. SLMs coupled with continuous learning pipeline would lead us to actual AGI.
recently, samsung released their fastest model trained on just 7 million parameters and it's absolutely insane
"Less is More: Recursive Reasoning with Tiny Networks" - Samsung SAIL Montreal
it beats gemini 2.5 pro on arc-agi with 0.01% of the parameters lol
the secret? tiny recursive model (trm) that iteratively improves its answer through recursive reasoning instead of just scaling up model size
key insights:
> single 2-layer network > two 4-layer networks
> recursive reasoning > hierarchical complexity
> 7m params beating 671b param models on hard puzzles
they basically proved that architecture > brute force scaling.
instead of throwing more compute at problems, they built a tiny network that thinks recursively about solutions
works by:
> start with embedded question + initial answer
> recursively update reasoning state 6 times
> improve answer based on updated reasoning
> repeat up to 16 supervision steps
> 87% accuracy on sudoku-extreme vs 55% for previous methods. 45% on arc-agi-1 vs most llms getting <20%
this changes everything about how we think about model efficiency. sometimes less really is more 🔥
SoraChain AI retweeted
LoRA makes fine-tuning more accessible, but it's unclear how it compares to full fine-tuning. We find that the performance often matches closely---more often than you might expect. In our latest Connectionism post, we share our experimental results and recommendations for LoRA.
thinkingmachines.ai/blog/lor…
