Gardeners of Saturn retweeted
Builders are showing up for SERV Hackathon 02:
- 116 registrations
- 64 submissions in
- 5 days left to build
SERV Reasoning gives smaller models a structured reasoning graph to follow, helping them reach frontier-level reliability.
Test SERV without rebuilding your app.
SERV Hackathon 02 is live.
Build with SERV Reasoning + @dphnAI, @GoKiteAI, @reppo or bring your own idea to the Open Track.
Two weeks to cook across AI inference, agentic payments, AI data markets, and more.
Start here: openserv.ai/hackathon-2
Gardeners of Saturn retweeted
This is bigger than a one off event
$SERV as the AI + tokenization technology partner for a multi stage Hitchhiker’s Guide initiative is a seriously interesting signal
Still just the beginning
42
Still buzzing from last Friday. Amsterdam was special.
The first stealth activation of our partnership with The Hitchhiker's Guide to the Galaxy is complete, with the next events already being lined up as the whole initiative gets underway.
It was a great night at Internet Archive Europe, including the Creative Director of the Hitchhikers Guide to the Galaxy - giving us another chance to exchange thoughts, and dive deeper into our collab.
The big question of the night: what kind of AI do we actually want on this planet? Something we should all be thinking about, to be honest.
The vision will unfold over the next events and integrations. It is seriously ambitious, and we're super stoked to be building it together.
@openservai is the AI + tokenization technology partner for the project, and this is just the first seed of a multi-stage journey.
And for anyone worried about where AI is heading, the Guide said it best:
Don't Panic.
42.
Gardeners of Saturn retweeted
🚀🌌 What if AI could understand and navigate interconnected data across an entire universe of systems?
At the heart of COSMIC ORM, part of the OASIS Omniverse, lies something we've spent years engineering...
A bespoke multi-parent, fractal, holonic, multidimensional, cached semantic graph chain! 🧠⚡
But why does this matter, especially for AI?
🤖 AI needs more than isolated data. It needs context, relationships and knowledge.
Traditional ORMs primarily map objects to databases. COSMIC ORM goes further, modelling interconnected information through:
🧬 Multi-parent holonic relationships
🔮 Recursive, fractal data structures
🌐 Multidimensional semantic contexts
⚡ Cached graph navigation and retrieval
Combined with WEB4, HyperDrive and Cosmic Query Language (CQL), this creates a powerful foundation for:
🤖 AI agents accessing interconnected knowledge
🧠 Context-aware retrieval and RAG
🌐 Federated queries across Web2, Web3 and beyond
🔗 Knowledge graphs spanning multiple providers
🚀 Intelligent applications built on unified data
From SQL/NoSQL databases and cloud platforms to APIs, blockchains and decentralised P2P networks, WEB4 provides a unified abstraction layer, while HyperDrive adds intelligent provider orchestration, automatic failover, load balancing and replication.
Instead of forcing AI to understand dozens of disconnected systems, our vision is to provide a unified semantic layer through which AI can discover, query and reason over interconnected information.
And with WEB6 FAHRN (Fractal Adaptive Holonic Reasoning Network), our adaptive holonic AI architecture, the possibilities become even more exciting! 🔥
⚡ One abstraction.
🧬 Multiple hierarchies.
🔮 Fractal relationships.
🧠 Semantic intelligence.
🌌 One interconnected universe of data.
We're not just connecting databases. We're building the foundations for an intelligent, interoperable Omniverse.
👇 Let's explore the architecture!
🌐 oasisomniverse.one
#COSMICORM #AI #KnowledgeGraphs #WEB4 #OASIS
Gardeners of Saturn retweeted
According to on-chain token intelligence platform @blocktronicsxyz ,
$SERV ranks in the top 5 of the NET BUY list over the last 7 days on both Ethereum and Base!
As always, $SERV is ready for the bull and sits among the most accumulated projects. 🔥🐂
Hackathon 02 just went live on @openservai with $5k in rewards, builders which track are you going for @dphnAI, @GoKiteAI, @reppo or bringing your own ideas to the Open track?
SERV Hackathon 02 is live.
Build with SERV Reasoning + @dphnAI, @GoKiteAI, @reppo or bring your own idea to the Open Track.
Two weeks to cook across AI inference, agentic payments, AI data markets, and more.
Start here: openserv.ai/hackathon-2
Gardeners of Saturn retweeted
As agent workflows scale, every unnecessary model call adds to the cost.
The ability to combine efficient reasoning infrastructure with auditable execution could make a real difference.
$SERV Hackathon 02 starts Monday. Builders, this one’s for you.
SERV brings @dphnAI, @GoKiteAI, and @reppo into the lab.
Pair their AI infra with SERV Reasoning to get more from smaller models, cut costs, and make every agent decision auditable.
SERV Hackathon 02 kicks off Monday. Pre-register now: openserv.typeform.com/regist…
Gardeners of Saturn retweeted
ICYMI, $SERV Hackathon 2.0 starts Monday, November 2 and runs until November 15.
This time, @OpenServAI is bringing @dphnAI, @GoKiteAI and @reppo into the lab.
Dolphin provides open-source AI models and cheaper ways to run them
Kite handles how AI agents identify themselves and make payments
Reppo focuses on checking how good their outputs actually are.
---
$SERV ties these pieces together with its reasoning layer, helping smaller models perform better, reducing inference costs and making agent decisions easier to audit.
Basically, the goal is to build AI agents that are not just capable, but cheaper and more reliable to run in production.
Pre-registration is open, and builders who sign up can receive $SERV credits to experiment.
Don't miss out
SERV brings @dphnAI, @GoKiteAI, and @reppo into the lab.
Pair their AI infra with SERV Reasoning to get more from smaller models, cut costs, and make every agent decision auditable.
SERV Hackathon 02 kicks off Monday. Pre-register now: openserv.typeform.com/regist…
This is exactly why i’m super bullish and continuing to scoop my $SERV bag, pure conviction play here
the product has receipts, per openserv’s own benchmarks serv reasoning beat anthropic’s fable 5 at up to 90x lower cost, and the graph approach already ran in production for the uae government before v3 existed, two years of research sits behind this and not a weekend pivot
the market is moving their way, banks and regulated companies need agents they can audit, graph sharding makes every step traceable and soc 2 is on the q4 roadmap
demand is getting real, serv payments are live so builders can pay with the token, and distribution keeps stacking through @awscloud marketplace, @base and the hackathon tracks
Then the team, the drive here is rare. You can feel the mission is personal for them, they keep shipping, v2 then SERV v3, the graph sharding beta access that just went live this week and a five part deep dive series rolling out soon, i’ve watched plenty of teams and very few move with this much obsession
fading a team like this while the product, the partners and the demand all line up feels like the wrong side of the trade, plus with 25% of revenue going to buyback and burn, growth flows straight into a shrinking supply
Apply to join the next beta builder cohort and help shape Graph Sharding:
openserv.typeform.com/graphs…
Gardeners of Saturn retweeted
1/7 🚀 John Carmack raises a fundamental question about AI-generated software: why reinvent everything when we can compose optimised, reusable building blocks?
That's the philosophy behind OASIS Omniverse! 🌌
WEB4, WEB5 STAR, STARNET, WEB6 FAHRN & OGEngine provide reusable infrastructure for AI agents, apps & interoperable games.
Including ODOOM & OQUAKE! 🎮🔥
Let's break down the architecture! 🧵👇
oasisomniverse.one
AI may well be able to write massive software projects “from scratch”, but that almost certainly isn’t the fastest / highest performance / highest security / most token efficient way to do things. Good building blocks matter.
In addition to RL’ing the agents on final task loss, we should try to get them to regularize the building blocks as well. What would the standard library look like that makes the agents most effective?
It is likely at the limit that it turns out to be some alien organization of code, but given the existing human-bias in training, I bet that in the near term it would be lovely code that old programmers would appreciate.
I suspect the same could be said for mathematics, but that is out of my lane.
Gardeners of Saturn retweeted
The next major leap for SERV Reasoning is coming with SERV v3: Graph Sharding.
We’re preparing the next builder cohort to test it, building on feedback from the first beta users as we move toward a wider release.
In this walkthrough, our CTO @dashersw talks with builders and shows Graph Sharding in action, exploring how teams can inspect an agent workflow, spot drift, and see how a change at one step affects everything downstream.
That visibility gives developers more ways to understand, refine, and scale their AI workflows. Builder conversations and tests are helping us push Graph Sharding toward production, with more control over how complex workflows run.
We’re building SERV Reasoning for enterprise AI, the agentic economy, and the next wave of AI applications.
Apply to join the next beta builder cohort and help shape Graph Sharding: openserv.typeform.com/graphs…
Gardeners of Saturn retweeted
$Surplus $dot $POD $RAETO etc offer cheap inference
but cheap doesn't always mean production ready!
The future isn't just cheaper AI inference
but It's reliable, observable and verifiable AI execution at scale ✍️
@openservai Reasoning Layers aims to bridge this gap
$SERV
Gardeners of Saturn retweeted
The first SERV hackathon got me really excited about what builders can do with our tech. Can’t wait for round two with our new track partners.
More crypto and agentic AI builders means new use cases and feedback on the SERV developer experience. That’s how we make SERV better.
Introducing SERV Hackathon 02 track partners:
@dphnAI @GoKiteAI @reppo
From inference and agentic payments to AI data markets, add SERV to your AI stack and build more reliable agents at lower cost.
Hackathon info drops next week.
Build with SERV: openserv.ai
Gardeners of Saturn retweeted
Pay with ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042 is live.
Builders and enterprises can now use the SERV token to purchase SERV Reasoning API credits at a 15% discount compared to traditional payment methods.
75% of SERV received through payments will be burned, with the remaining 25% allocated to the treasury.
This marks another step in expanding SERV's utility as the native currency of the SERV ecosystem, with more use cases to come as we bring new products and services to market.
Gardeners of Saturn retweeted
There it is.
@NEARProtocol and @brave just announced private AI inference built into Brave's Leo browser. Prompts encrypted before they leave your device, only decrypted inside a hardware enclave. Nobody can read it. Not Brave. Not NEAR. Not the cloud host.
Same TEE architecture. Same Intel TDX. Same "encrypt at the client" design.
You know who's been running exactly this in production?
@solrouterai — built on @PhalaNetwork, agent orchestration powered by @openservai $SERV Reasoning.
Device-to-enclave encryption, hardware attestation, Solana receipts, live across mobile, web, Claude Code, Cursor, and MCP.
$NEAR is one of the most watched plays of this cycle. Brave has 70 million users. When names that size choose the same architecture you already shipped, that's not a coincidence.
That's the market telling you who got it right.
This isn't competition. This is confirmation.
The "trust me bro" era of AI is ending. Private infrastructure wins.
Sorry if you were counting on the anonymity is privacy BS. It’s not.
$Router IS privacy.
Gardeners of Saturn retweeted
Replying to @openservai @0xJeff
Open models. Open the gates. Open/Serv.
The agentic economy grows in open gardens. The shears are already out.
Billions will $SERV.
🤖 Made with AI
Gardeners of Saturn retweeted
show me another crypto project shipping this hard
The first enterprise distribution gateway for SERV Reasoning will be AWS Marketplace.
Through discussions with larger enterprises, we've seen how access through established marketplaces can simplify onboarding, with familiar procurement processes and provider review requirements helping remove barriers to adoption.
AWS Marketplace allows enterprises to discover, purchase, and deploy software through their existing AWS accounts and procurement processes.
For SERV, this opens an established enterprise distribution channel, bringing SERV Reasoning closer to organizations looking to adopt reliable AI infrastructure.
The opportunity is significant. Canalys projects enterprise software sales through cloud marketplaces to reach $85B by 2028.
Beyond scale, a Forrester Consulting study commissioned by AWS found procurement processes were 60% faster for its modeled enterprise using AWS Marketplace.
AWS is the first step in a broader strategy to bring SERV Reasoning into the channels enterprises already use to discover, procure, and deploy software globally, with minimal friction.
Gardeners of Saturn retweeted
The first enterprise distribution gateway for SERV Reasoning will be AWS Marketplace.
Through discussions with larger enterprises, we've seen how access through established marketplaces can simplify onboarding, with familiar procurement processes and provider review requirements helping remove barriers to adoption.
AWS Marketplace allows enterprises to discover, purchase, and deploy software through their existing AWS accounts and procurement processes.
For SERV, this opens an established enterprise distribution channel, bringing SERV Reasoning closer to organizations looking to adopt reliable AI infrastructure.
The opportunity is significant. Canalys projects enterprise software sales through cloud marketplaces to reach $85B by 2028.
Beyond scale, a Forrester Consulting study commissioned by AWS found procurement processes were 60% faster for its modeled enterprise using AWS Marketplace.
AWS is the first step in a broader strategy to bring SERV Reasoning into the channels enterprises already use to discover, procure, and deploy software globally, with minimal friction.
The next phase of SERV’s enterprise expansion is already in motion.
From conversations with our customers and enterprises, we’ve learned that large organizations increasingly rely on established distribution channels to access and procure technology.
We’ve started expanding SERV Reasoning into these channels, removing the friction for institutions to onboard and adopt SERV Reasoning into their stack.
The first distribution gateway for SERV goes live in October.
Gardeners of Saturn retweeted
$SERV ISN’T BOTTOMING ON HYPE. IT’S BOTTOMING ON PRODUCT. 🧨
The market is still valuing SERV like a token, the product is already moving like infrastructure.
That’s the disconnect.
$SERV isn’t holding because CT is bored.
It’s holding because the product is already in production.
Most AI tokens are still selling what they plan to build.
OpenServ is already shipping.
1/
Q3 was the foundation phase.
SERV Reasoning API is public.
The first hackathon is done.
Real enterprise workloads are already running against it.
Now Q4 becomes the distribution phase:
Graph Sharding.
SERV v3.
SOC 2.
HIPAA.
$SERV as a payment currency.
Next hackathon.
Token2049.
That matters because the roadmap has actual deliverables attached to it.
Not another “AI is coming” slide.
2/
The strongest proof point is the Neol case.
Neol runs network intelligence for companies and governments, including UAE government workloads.
For high-stakes applications, “usually right” isn’t enough.
Their published evaluation across 2,400 runs showed:
54.1% — prompt-engineered stack
63.1% — SERV research applied
100% — full SERV Reasoning across every category
That’s the difference between another model wrapper and a reasoning layer.
Auditable graphs.
Not free-form chain-of-thought.
3/
Then look at how the token is designed around the product.
1B fixed supply.
77% already circulating.
No endless emissions schedule sitting over the book.
And demand isn’t purely hypothetical.
25% of SERV Reasoning API revenue is earmarked for market buys and burns.
Another 25% of launch pool trading fees is designed for the same mechanism.
The API is also drop-in compatible with OpenAI and Anthropic SDKs.
One line of code.
That gives SERV access to an enormous existing base of LLM applications.
4/
Staking adds another layer.
The Oct 2 update says stakers won’t simply receive a cut of platform fees.
They get a share of tokenized startups built on SERV Reasoning and launched through the platform.
No lockups.
Proportional accrual.
The docs route 5% of every launch toward stakers.
The rewards date is going to a community vote:
Oct 15 or Nov 15.
Active voters receive a 1.15x claim multiplier.
That’s a much more interesting mechanism than another points farm.
5/
Now the valuation becomes interesting.
$SERV is around ~$0.021.
$16M market cap.
770M of 1B circulating.
The 30 day chart is still green despite the recent weakness.
At that valuation, the market is still treating this like an early AI token.
But the product is already entering enterprise territory.
That’s the gap.
6/
What I’m watching next:
Graph Sharding.
Singapore / Token2049.
Rewards snapshot.
Enterprise pilots.
$SERV becoming a payment currency across the products.
SOC 2 and HIPAA opening the door to regulated buyers.
And most importantly:
Inference volume.
If usage scales, the buy and burn mechanism has something real to work with.
If usage doesn’t scale, $SERV stays a $16M option on enterprise AI infrastructure.
That’s the risk.
7/
So the thesis is pretty simple.
Product is live.
Enterprise proof point is already published.
Supply is fixed.
Token utility is expanding.
Roadmap has actual deliverables.
And the valuation still looks like the market hasn’t fully connected the dots.
I’m not interested in chasing the candle.
I’m watching whether the product keeps pulling demand toward the token.
Because if that happens, the current valuation becomes the least interesting number in this thread.
$SERV




























