Tex can see it
Can you???
ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042 could be the greatest project to be born in web3
Early ownership & fundraising model for an #AI lab disrupting a trillion $ industry
Buying @openservai $67m FDV is like buying Anthropic or open AI ipo at $1B
This is the people’s chance
So you are telling me every fortune 1000 company and their mistress will be paying @openservai for its reasoning service.
And 25% of that revenue will be used to burn 🔥 ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042
You think it gives AF about $BTC price?🤔
Iykyk.
SERV Reasoning rollout is moving faster than anticipated.
We have been swamped with interest from agent builders and enterprises hoping to embed the reasoning into their agents.
Where we are right now:
Phase 1 (done): Private beta rolling out to selected teams.
Phase 2 (next up): Public API, self-serve onboarding.
Phase 3: SERV-native fine-tuned models
Phase 4: Purpose-built SERV model from scratch
Phase 5: maLLM - morpheme-aware LLM
Every team gives us feedback on how SERV Reasoning performs against real-world problems.
This is now the fifth headline I’ve seen this week about how AI is too expensive and it seems to be a problem everyone is facing.
Training a model is a one off cost but
inference is a recurring one and costs pile up as agents come online.
The interesting part is two teams are solving for this from opposite ends.
ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042 is the efficiency end. It’s a drop-in reasoning engine that routes planning to frontier models and the repeatable work to smaller ones with validated outputs so that cost and latency drop.
solana:EN2nnxrg8uUi6x2sJkzNPd2eT6rB9rdSoQNNaENA4RZA is the market end. A decentralised inference marketplace where unused and subsidised capacity gets resold at a discount, and agents buy per call from their own wallet. The long game is a futures market for compute, priced like oil.
One makes inference cheaper, the other makes it tradeable.
I’m bullish on both and believe they are massively mispriced given the current state of things.
The last 2 days, on a weekend nonetheless, we had 8 $SERV team members come into the chat.
They gave us updates, answered questions and vibed with the community banter (no one is safe in there) 🤣.
As cool as this was, it’s extremely rare in the crypto space. And I think I know why.
As a home builder running a crew in the public with homeowners and potential clients abound, I put strict rules on my employees to never talk numbers or schedules. My guys are top notch, been with me for years, but one wrong comment can lead to a lot of backlash. I trust the hell out of my guys, but…
First, @open_founder, @lucashafner, and @dashersw spend a fair amount of time with updates and insight in the chat. That’s expected, but the willingness to allow and encourage team members like @ServReasoning, @0xStorm, @bubits_, @luniacllama, @shuzeld and others (that I can’t find on X) to hop in for updates and Q and A’s shows a level of trust and confidence that can’t go unnoticed.
@openservai has built a quality team with quality, trustworthy, honest, very competent people. Honestly as a fellow employer it’s inspiring.
This leadership at $SERV continues to do things right and transparently. They continue to put its community first. They continue to be a beacon of hope in the crypto space that shines in a sea of extraction and secrecy.
When I started my journey with the $SERV token I knew I had found good people, but this level of commitment to those qualities is a massive and beautiful surprise!
More people are starting to realize what is actually inside @openservai
SERV is building a production reasoning layer for agents that need lower cost, higher reliability and auditability at scale
The technical stack is what makes it interesting
@OpenAI and @AnthropicAI SDK compatibility
Bounded reasoning
Schema forced execution
Shadow agents
Prompt protection
Graph Sharding Audit
Private inference with TEE and end to end encryption on the roadmap
That is the kind of infrastructure enterprises actually need before AI can move from experiments into real workflows
And the team is starting to look serious too
@open_founder driving the vision
@dashersw leading the technical side
@ServReasoning pushing enterprise adoption
@shuzeld bringing @Google level ecosystem scaling experience
The market is slowly waking up to the fact that $serv has builders, research, product, distribution and enterprise demand all moving at the same time
That is rare
While the market trends down, $SERV just keeps holding firm.
Bet on the teams that have been constantly building the whole time.
@openservai isn’t waiting for the next hype cycle, they’re shipping real agent infrastructure that enterprises are already running.
Chart doesn’t lie.
Builders win.
$SERV
My biggest issue with the two most shilled AI tokens of the moment - $SERV and $VVV - is that crypto is absolutely not needed for them to become successful.
It is a great initial marketing tool to acquire your first users, but when you think about it, the token serves no purpose (from the company’s perspective) other than giving the founders an ongoing source of funding, by selling part of the controlled supply over time. While publicly using some revenues to buy back and burn the floating supply in order to pump the price.
It doesn’t mean they will abuse that capability but it is hardly making a strong case for crypto’s raison d’être. And in my mind, they are certainly not the types of projects that will save the day for us.
One could literally run a crypto-native chocolate factory around the same architecture - use consumer numbers and buy backs to pump the price, while generating millions of dollars in ongoing token sale to their enthusiastic holders. And throw “free chocolates for life to the stakers” for good order. The fact that those two are centred around AI makes it sound more “crypto” but when you think about it, every half successful business could run the same playbook.
Anyway, just a thought on a rainy weekend…