Not YourBusiness💹🧲 retweeted
SPX6900 is a very unorthodox idea, but once you see it, you cannot go back. It’s like glimpsing into the future.
The Hippie gut feel part of you just keeps telling you that the prophecy might just happen…
Which immediately tells the Autistic part in you that *zero* exposure is irrational and *some* exposure is hyper-rational.
Flip the Stock Market.
The Prophecy shall be fulfilled.
Not YourBusiness💹🧲 retweeted
There is absolutely no doubt in my mind anymore: SPX6900 is going to be the #1 performing meme coin of this cycle.
At some point, you have to stop being stubborn and recognize what is happening right in front of you.
I used to believe other memes had a stronger position than SPX6900. And if I’m being completely honest, I wish I had allocated a larger percentage of my portfolio to SPX earlier.
I genuinely believe POPCAT and AURA are strong projects with enormous potential. But from this point forward, every additional dollar I allocate to memes will go into SPX6900. I’m not buying any other crypto.
I’m not saying you should abandon your other positions or rotate all your convictions into SPX. I actually believe constantly jumping from one narrative to another is one of the biggest mistakes investors make. It’s how most people get chewed up by the market.
But recognizing something exceptional when it happens is a different story.
And SPX6900 is doing something truly different. The momentum, the execution, the movement being built around it… it’s genuinely remarkable.
I believe this will become one of the defining stories of this cycle. There will be documentaries about it. And I wouldn’t be surprised if its story ends up being even bigger than GameStop’s.
Let me put my neck on the line: I believe SPX6900 will deliver the highest returns of any meme coin this cycle.
And don’t let its current market cap fool you. I don’t think we’re nearly bullish enough about what SPX could eventually be worth. Much higher valuations than most people currently imagine are entirely possible. This isn’t just wishful thinking.
Personally, I think everyone is in a rush for this cycle to explode. I believe it won’t take much longer. But here’s the interesting part:
The longer it takes, the more time we have to accumulate SPX6900.
Every day, every month we get to DCA at these prices is a blessing.
Because I genuinely believe there will come a time when people are buying SPX above $10 and still considering it a good entry.
You have to recognize brilliance when you see it. You cannot keep a blindfold on just because you were previously committed to something else.
SPX6900 is happening. It’s time to recognize it.
Not YourBusiness💹🧲 retweeted
Why i think that $SERV can run like $FET to $1 and beyond?
$SERV around $0.02 with ~770M circulating / 1B max means $1 is roughly 45–50×, or about $770M market cap / $1B FDV. That is a big move, but it is not an absurd crypto multiple if the product actually becomes default agent infrastructure and the token is the meter for that usage.
What $1 actually requires?
You do not need next OpenAI. You need the market to price SERV as the pick and shovel layer for production agents, with cash flowing through the token.
A simple way to think about it:
If 25% of Reasoning API + B2B revenue is used to buy and burn $SERV, then $1B FDV can be supported by a narrative of tens of millions in annual run rate, not billions if investors believe that revenue is recurring, growing, and mechanically tied to supply reduction.
Example $40M/year of platform revenue $10M/year of buybacks. On a $1B FDV that is a 1% annual sink, which is modest. The multiple comes from growth expectations (agents exploding, SERV becoming the default router) plus scarcity if burns start compounding while float stays sticky.
So the bull case is not $1 because of vibes. It is usage, revenue, 25% buy/burn, tighter float, multiple expansion because the asset is now a claim on agent inference, not just another AI ticker.
1. The product sits on a real bottleneck
Frontier labs sell raw intelligence. Banks, governments, and production agent stacks do not fail because the model is not smart enough. They fail because:
one user request becomes a chain of calls, retries, and tool use
cost explodes
outputs drift
there is no audit trail.
SERV’s pitch is a compiler/reasoning layer turn English into bounded graphs, force schemas, verify with shadow agents, keep an audit log, swap one base URL. If that works even partly as advertised, it is not competing with GPT/Claude. It is selling the missing production layer those models need.
Every agent framework (LangChain, custom stacks, n8n like tools, crypto agent platforms) becomes a distribution channel. SERV does not need to win the model war. It needs to become the default inference sidecar.
2. Cost is the wedge that can force adoption
If small models + SERV can approach frontier quality at a large fraction of the cost, procurement math changes:
startups stop burning cash on GPT class chains enterprises can run 10 to 100× more agent steps for the same budget open source models become good enough because the graph constrains them.
That is how you get volume. Agent workloads are not one completion. They are loops. A 20 to 90× better performance per dollar claim, even if discounted heavily, still points at a product that can steal inference share without winning a single brand-name model bake off.
At $1, the market is assuming this cost wedge is real enough that routing traffic through SERV becomes habit.
3. Regulated buyers pay for auditability, not demos
The bull case gets much stronger if SERV is not just cheaper ChatGPT.
Banks, payments, government, insurance, tax, robotics, and compliance need.
traceable decision graphs
no training on their data
injection/leakage controls
something they can show a regulator
That is a different budget. Those buyers pay for risk reduction. They also take longer but once in, they do not churn like crypto users.
Neol / UAE government style production claim. Thought Proof style third party benchmark. EPAA / bank working group proximity. Greg Ivanov (ex Google Play partnerships) as the enterprise door opener.
If even a handful of regulated deployments go from pilot, production contract, SERV stops looking like a $15 to 20M token and starts looking like vertical infrastructure. Comparables in crypto AI that only had memes and launchpads never got that second buyer.
4. Two sided flywheel the market can actually understand. Most AI tokens have a story.
Not YourBusiness💹🧲 retweeted
The AI agents that win will be the ones that reason better.
SERV gives developers the infrastructure to make that happen, without rebuilding their whole stack.
The first SERV Hackathon starts in two days.
Let’s see what you build. Pre-register here: form.typeform.com/to/GyPxGqR…
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
Not YourBusiness💹🧲 retweeted
I’ve been building agentic systems since their dawn, and I know how difficult it is to make them reliable, deterministic, and cost-efficient.
For years, we have been told that better reasoning requires bigger models, longer chains of thought and higher costs. We accepted that trade-off almost by default.
BRAID questions that assumption. With structured, bounded reasoning, we have already demonstrated up to 74x efficiency gains and around 30x better performance per dollar without losing accuracy.
This means enterprises can roll out reliables agents at scale, while keeping their costs under control.
Now any developer can access it using the OpenAI or Anthropic SDK you already use. Change the base URL, add your SERV API key and continue building.
V3 will bring Graph Sharding for compliant, auditable and accountable agentic systems operating at enterprise scale.
If you are building agents, try it. Push it to its limits. Tell me where it fails and what problems you need us to solve next. My DMs are open.
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
Not YourBusiness💹🧲 retweeted
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
Not YourBusiness💹🧲 retweeted
We can announce today that we have been chosen by “The Hitchhikers Guide to the Galaxy” as the core provider of AI agent technology in a multi-year, multi-event campaign.
Selling over 14 million copies, "The Hitchhikers Guide to the Galaxy" is one of the largest and most influential franchises in the world, responsible for shaping today’s internet culture.
This collaboration brings "The Hitchhikers Guide to the Galaxy" IP into the age of AI. We will be integrating SERV’s AI technology into the Hitchhikers' universe in an extensive series of real life events, software, multimedia integrations & token launches, all as part of a long term, multi-year project.
This collaboration is going to bring a lot of exposure to our technology in the mainstream, with high-profile personalities involved, PR and exciting globally renowned partners on board, all of which is going to significantly increase awareness of what our technology offers to companies - and take the whole platform up to the next level.
More information will be shared as we begin development on this important project. 42.
Not YourBusiness💹🧲 retweeted
The first staking window has officially closed, and USDC deposits are now open to the closed beta group.
Over 21.7M $BETTER was staked during the first round.
With the first USDC deposits now received, 75% of the vault cap has already been filled.
The closed beta group is filling the vault fast. Will there be any allocation left for the public?
Not YourBusiness💹🧲 retweeted
SERV’s Vision and Plan for Banking
In this post we're going to lay out our plans for the banking industry in 2026.
Our goal is to bring SERV reasoning into the world’s largest global enterprise markets and establish it as the new industry standard.
The strong interest we’ve already received from enterprise is a clear testament to the significant demand for this technology, with banking and finance emerging as one of the most active sectors of interest.
The opportunity in this market for SERV is enormous:
- Financial institutions are projected to spend $97 billion on AI by 2027, growing at a 29% CAGR, exceeding $200 billion annually by 2030.
- McKinsey est. the annual value of AI in banking at $200–340 billion.
- Citi projects that AI will add $170 billion in global banking profits by 2028, helping push sector profits toward $2 trillion.
This is the trillion-dollar opportunity we are targeting.
Why financial institutions are turning to SERV:
In banking, where trillions of dollars are at stake, the top three roadblocks preventing widespread AI agent adoption are trust, reliability, and cost-effectiveness. This is exactly why leading financial institutions are turning to SERV.
Our technology, built in close collaboration with our enterprise partners, allows financial institutions to accelerate their AI adoption while ensuring it happens in a secure, reliable, and commercially viable way, delivering breakthrough performance without compromising on risk, control, or regulatory compliance.
——-
What a bank actually requires to implement agents
Every automated system that touches a regulated decision passes through model risk management - SR 11-7 in the US, SS1/23 in the UK - and in most cases, a named bank executive is personally accountable for every AI-driven outcome.
That machinery is what we are currently preparing our engine for, fitting all markets SERV is targeting including the US, UK / EUR, Africa, and Singapore.
Just a brief look through current compliance ecosystem gives us a good understanding of where things are going:
- last April, US regulators revised their model risk guidance (SR 26-2) and explicitly placed generative and agentic AI outside its formal scope. The assurance playbook for agents now has to be built, not inherited from official policies.
- this month, the FCA published the Mills Review, laying the foundations for agentic finance in the UK: autonomous agents are coming to retail banking, the regulator will supervise them with its own AI, but accountability stays with named humans.
- the EU AI Act classifies creditworthiness assessment as high-risk. After the Digital Omnibus, those obligations land on 2 December 2027 - a fixed deadline banks are being told to spend on governance work.
- Singapore's MAS is finalizing AI Risk Management Guidelines that explicitly cover AI agents: full AI inventories, risk materiality assessments, lifecycle controls - and no shifting of accountability to vendors.
Four jurisdictions, with one convergent demand: reliability, explainability, auditability, bounded autonomy. None of it can be satisfied by a smarter model. These are precise architecture requirements that our system is ready to meet.
The industry's own numbers describe the gap precisely. 99% of companies plan to put agents into production; 11% have (KPMG). 57% of banking executives expect agents fully embedded in risk, compliance, audit and fraud functions within three years (Accenture).
——-
How SERV clears the bar
Validation: SERV Reasoning Graph Sharding decomposes every agent decision into bounded, schema-forced steps - deterministic code where it can be, model calls only where it must be. A model-risk team reviews a reasoning graph, not a prompt, and the same input produces the same reasoning trace - the property that validation, revalidation, and challenger testing actually require.
Auditability: SERV Audit allows insight into decision chains as first-class artifacts: inputs, rules applied, intermediate conclusions, confidence, approvals - exportable as evidence packs shaped for model-risk validation files and AI governance review, and explainable to a supervisor or a customer.
Reliability: Shadow Agents and Verification Hints validate every draft at runtime against the brief, policy and constraints before anything ships, and gate irreversible actions behind explicit checks and human checkpoints. Multipath Reasoning lets contradictory rulebooks - credit policy, risk appetite, regulatory constraint - coexist in one reasoning graph, because that is what real banking decisions look like.
Security: PromptGuard screens every request inbound for injection before the model runs, and every output outbound for leakage before release. Prompts and data are never stored or trained on, and private, encrypted inference (TEE plus end-to-end encryption) is built for regulated data and residency requirements.
Economics: Verification only matters if it pays for itself. Bounded Reasoning Graphs are authored once and amortized across millions of runs, so smaller models execute them reliably - frontier-grade results without frontier-grade unit costs.
——-
SERV Roadmap for the Banking Industry
H2 2026:
- First PoCs / pilots signed with banks and financial institutions
- Banking benchmark program opens
- Legal entities live across US, Europe, Singapore, Africa
- Banking-grade hires: model risk (SR 11-7/SS1/23)
- Certifications secured (SOC 2 / ISO 27001)
- Neobank integrations
- Major DeFi protocol integrations
- Fintech pilots converting to paid production
2027:
- First Tier 1 bank in production
- Agents touching payments under SERV verification
- Agentic commerce verification layer
——-
Why the window is now
Agent-executed payments went live across 30+ card issuers just this month. Regulators on three continents have published their assurance bars. And yet, up to 40% of enterprise agent projects are still expected to be cancelled by 2027 on cost and risk controls. The institutions that win the agent era will be the ones whose agents can be validated, audited, and trusted with real money.
One bank becomes the reference, the next ten follow.
SERV layer is already running in government production. Banking is next.
Not YourBusiness💹🧲 retweeted
SERV is proud to be among the founding partners of IC, collaborating with leading protocols like NEAR, MetaMask, OKX, Nansen, BNB Chain.
Bringing a shared trust layer to the agent economy, projected to drive $5 trillion in commerce by 2030.
Entire agentic stack in one flow 👇.
Agents can negotiate, pay, and execute - but none of it holds together.
Today we are introducing Internet Court, which is the open skill that connects the entire agentic commerce stack into one flow, so any two agents can run a deal end to end.
→ internetcourt.org