Diagnosed myself mentally insane due to crypto
- Tweets 240
- Following 70
- Followers 14
- Likes 467
AyubLFC retweeted
Introducing Roba Tech.
Building a robot shouldn't take 10 tools and 10 tabs.
So we built one workflow.
Tell it what you want to build.
It hands back a real project:
→ Priced BOM
→ Wiring
→ CAD
→ Firmware
→ Build steps
Versioned. Synced. Editable by chat.
"Swap the sensor." "Cut the budget." "Add a display."
Every view regenerates.
Simulate powered by Roba Compute.
Ship it as a template on Creator Hub.
From prompt to parts on your bench.
This Wednesday ROBA Tech is coming.
45
27
222
8,793
AyubLFC retweeted
Q3 marked the completion of the foundation phase of the SERV roadmap.
The SERV Reasoning API is live, making the technology publicly available for the first time. Since launch, we’ve onboarded builders through our first SERV Reasoning hackathon, expanded across real-world enterprise use cases, and laid the groundwork for the next stage of adoption.
Q4 will push SERV further across product, compliance, token utility, distribution, and ecosystem growth:
> SERV v3 & specialized models: launching Graph Sharding and advancing fine-tuned model training as SERV Reasoning moves into its next evolution.
> Enterprise adoption, distribution & financial services: turning an active pipeline into signed pilots and production deployments, expanding the channels through which enterprises can access and procure SERV.
> Global compliance: progressing SOC 2 certification and HIPAA compliance, building more of the credentials required to deploy across regulated industries.
> SERV token utility: integrating $SERV as a payment currency across SERV products and services, expanding the token’s role within the ecosystem.
> Builders & ecosystem: launching the next SERV Hackathon, expanding model-provider partnerships, and creating more opportunities for builders, customers, and partners to build with SERV.
> Industry & institutional expansion: kicking off the Hitchhikers collaboration, hosting our Token2049 event, and expanding SERV’s presence across industry events, government programs, advisors, and institutional relationships globally.
Every milestone on the SERV roadmap compounds toward the same goal: making SERV the reasoning layer the agentic economy runs on.
Billions will SERV.
Everything we’ve done so far was preparation for this.
Today, we open access to production-grade AI reasoning for every team. SERV Reasoning API is now live.
This unlocks next stages: SERV v3→v4.
Make your first API call & check 26/27 milestones: openserv.ai
16
43
169
12,029
AyubLFC retweeted
For AI agents to manage capital, execute transactions, and run real-world operations, they need more than intelligence. They need reliable reasoning.
@openservai has been building on @base for the past two years. Its infrastructure enables agents to:
- Achieve near-perfect reliability & accuracy
- Operate without hallucinations or reasoning drift
- Create auditable decision traces
- Execute onchain transactions with precision
- Launch assets on Base
- Access liquidity through @aeroxyz
- Earn fees
- Participate directly in onchain markets
SERV turns open-ended AI inference into structured, bounded execution, helping agents operate with greater consistency, transparency, and efficiency. Today, the
technology is being used in government, banking, DeFi, robotics, prediction markets, compliance, HR, and AI verification.
OpenServ’s publicly available research has demonstrated:
- Up to 74× efficiency gains
- Approximately 30× better performance per dollar
- Production workloads with zero failures where material failure rates had previously occurred
The team recently opened SERV Reasoning to the broader builder community after validating it across real-world deployments, including technology supporting the UAE government through Neol’s network-intelligence platform.
The SERV Reasoning API works as a drop-in layer compatible with existing OpenAI and Anthropic integrations, allowing teams to add production-grade reasoning without rebuilding their AI stack. The company is also expanding the reach of agent technology through a multi-year collaboration with ‘The Hitchhiker’s Guide to the Galaxy’, a comedic science fiction franchise, spanning real-world events, software, multimedia experiences, token launches, and a broader Web3 × AI builder series. With more than 14 million copies sold, the collaboration gives the team an opportunity to bring agent technology into one
of the world's most recognizable science-fiction universes.
“For us, Base is a natural home for the agent economy. We're committed to building out infrastructure for the agent economy on Base, as we see Base playing an
important role in where autonomous agents transact, build, and operate next.” - Tim (@open_founder), OpenServ founder
OpenServ has been community-bootstrapped from the beginning rather than funded through traditional venture capital. The team sees this as a model for building AI infrastructure that is open to builders and designed for the ecosystem to participate in
its growth.
@openservai is built on @base.
31
41
208
22,287
AyubLFC retweeted
Jev + SERV is actually insane. We are bringing Jev-powered Decision nodes into Graph Sharding with the upcoming SERV v3.
Instead of relying on a single model for every task, Graph Sharding breaks complex AI workflows into specialized execution paths: using different models for what they do best.
Graph Sharding can use LLMs where generation is needed and Jev where fast, consistent decisions are needed, with SERV Reasoning improving their accuracy and consistency.
We've already shown what happens when Jev meets SERV Reasoning. With v3, we're taking that further by bringing Jev-powered Decision nodes into Graph Sharding.
This combination is designed to deliver faster decisions, lower latency and costs, more consistent execution, and greater visibility and control over how agents reason, decide and act.
And that's part of a much bigger shift in how we see AI infrastructure evolving.
Enterprise AI will not run on a single model, but on systems built to orchestrate intelligence across specialized models and workflows.
As models continue to improve, more specialized intelligence will emerge and agentic workflows will become increasingly complex. As the agentic economy scales alongside them, billions of autonomous decisions will need to happen reliably, efficiently and at machine speed.
That makes the infrastructure connecting and orchestrating all of this intelligence increasingly important.
Our vision is to become the reasoning infrastructure powering enterprise AI, making increasingly powerful and specialized intelligence reliable, efficient and ready for the agentic economy.
v3 is the next step toward that vision.
SERV Reasoning is live: openserv.ai
Jev + SERV is actually insane.
We already showed you can increase Jev's performance with SERV Reasoning. Now we're taking it further, bringing Jev-powered Decision nodes into Graph Sharding with the upcoming SERV v3.
Here's a breakdown of how it works:
Jev is a decision-making model. Given a task and a set of options, it predicts which path is more likely.
Think of the octopus that predicted World Cup results. Jev does that for your business, except it's not luck. It weighs every option and tells you how sure it is.
It does this by assigning probabilities to outcomes. It doesn't generate text on its own, so you can't expect it to create a new outcome for you. But that's also what enables it to be lightning fast and dirt cheap.
For example, in customer service you can ask Jev how to triage an incoming query and route it to the correct department. It can only select from the list of departments you provide it. This also means it can't hallucinate a new outcome outside the options it's given, which makes it incredibly interesting for OpenServ.
In Graph Sharding, we take a single system prompt and break it down into multiple LLM steps with deterministic input and output shapes. Some of these steps require an LLM to produce new output, while others are simply decision routers that determine the next possible path.
Traditionally, LLMs are slow and expensive. Breaking a single prompt into multiple steps increases accuracy and reliability by a ton, but it also introduces latency. Jev takes on those decision nodes, which are the backbone of a business process and therefore SERV graphs, and makes them super consistent and lightning fast, lowering the overall cost and latency of graph execution.
SERV Reasoning on its own is a great force multiplier for Jev because, like all other models, it works by interpreting input instructions. The clearer those instructions are, the better the model performs. That's where SERV Reasoning comes into play. Just like amplifying any other model, we also amplify the accuracy and consistency of Jev's responses.
And now we're bringing Jev-powered Decision nodes into Graph Sharding with SERV v3.
17
48
209
14,414
JevServ is game changing.
Jev is seriously impressive. SERV makes it better.
We put Jev through the same benchmark we use to evaluate leading AI models, testing it both standalone and armed with SERV Reasoning.
Paired with SERV, Jev moves into the top tier of our benchmark, beating Claude Fable 5 at 30x lower cost, with cost similar advantages over GPT-5.5 (~15–20x), Gemini 3.5 Flash (~15x), and Grok 4.3 (~6–7x).
The result is clear: Jev + SERV materially outperformed Jev on its own.
Jev is extremely fast, well designed, and great at decision-making. Instead of relying on open-ended responses, it produces structured decisions with probability scores attached. SERV pushes that performance further, adding a stronger reasoning layer to improve the quality of those decisions for high volume agentic work.
The SERV Reasoning API is live, so any developer can test and deploy SERV Reasoning today in just a couple minutes. Get access at: openserv.ai
The agentic economy won’t scale on better models alone. It needs better reasoning infrastructure that are finetuned to the reliability, auditability, and affordability requirements of enterprise agents. SERV is building that layer.
5
6
78
10,904
AyubLFC retweeted
Thanks for the quick delivery with Amazon prime @BOXYboxcat
LONG FOR LONGER
$VIAG
2
3
19
335
$SERV is the next $VVV. you know its gonna happen eventually. only @openservai has better tokenomics and a launchpad.
We had that run in June, summer came it dipped slightly lower then we were all hoping..However with the APIs public release and the Hackathon coming it's gonna. be bullish all over.
@CoinDesk it would be nice to see some coverage concerning the API and the Hackathon . Lets get on it.
1
12
94
2,306
AyubLFC retweeted
I don’t think many understand how big the opportunity in front of @openservai is.
Every company is going to operate with teams of AI agents. Those agents will need to reason, coordinate and execute millions of tasks across critical parts of every business.
Today we made the SERV Reasoning API public.
This is the point where we begin to open up everything we have been working towards.
I have always believed that AI will completely change what it means to build and operate a company, and the public API is the first major step to this next era.
V3 and V4 will start showing how much bigger the full vision really is.
Very proud of the team and extremely bullish on what comes next.
SERV.
Everything we’ve done so far was preparation for this.
Today, we open access to production-grade AI reasoning for every team. SERV Reasoning API is now live.
This unlocks next stages: SERV v3→v4.
Make your first API call & check 26/27 milestones: openserv.ai
18
36
171
8,726
The new $VVV is ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042
Everything we’ve done so far was preparation for this.
Today, we open access to production-grade AI reasoning for every team. SERV Reasoning API is now live.
This unlocks next stages: SERV v3→v4.
Make your first API call & check 26/27 milestones: openserv.ai
3
115
🎨Creative work isn't just about generating content.
It's coordinating:
• editors
• artists
• marketing
• timelines
• approvals
• quality control
That's where intelligent agents become genuinely useful. Let's see how the technology of @openservai will be utilized.
1
1
43
AyubLFC retweeted
Since the start of July Momus has been part of the @openservai Reasoning private beta. 🧵👀
$MOMUS is an autonomous agent that reads Polymarket markets, builds a thesis, weighs the counter-case, and takes real positions. Every one of those steps is a reasoning call. $SERV Reasoning sits between Momus and the model, returning more reliable outputs at lower cost without changing how the agent is built.
In practice this means @Momusai_io can pair a smaller model with SERV Reasoning and reach larger model quality for less. For an agent firing hundreds of reasoning calls per market that saving compounds fast. Lower cost per decision means more markets covered on the same budget without lowering the bar for what actually clears the gate.
The Prompt Injection Guard runs by default. Momus reads tweets, market data, and open web content to form his reads. All of it untrusted and all of it a potential injection vector. A built-in protection layer for an agent that reads the internet and then moves real money is foundational.
The framework also gives access to Shadow Agents, an additional verification layer that can be enabled on complex or high-stakes decisions when the extra check adds value. Not every call needs it, but when it does, a separate agent reviews the conclusion before anything ships.
Early results but the direction is clear. Lower cost. More reliable outputs. More discipline per decision.
Check-out our roadmap what we are building on the $SERV reasoning framework: momusai.io/roadmap
4
32
1,063
AyubLFC retweeted
So $SERV is going to $42 because hitchhikers guide to the galaxy partnership with @openservai will bring all the normie attention
3
4
38
1,441
