Wonderful to see such high quality independent research on @openservai from @delphi_labs COO @KSimback, one of the sharpest minds in the AI x Crypto space
Alright, $USDT.D has made contact with the Gann Arc while $BTC has made contact with the blue fib circle just as I had outlined with their respective fractals. So this is the moment of truth so to speak. Seeing an HPL and HPH flash on both, but this is down on the 8H chart, so let's review tomorrow and see if it manages to hold with a bonus of some buying volume.
This correction has been crypto specific while the wider markets have not started to flash any risk-off signals yet (quite the contrary). So the hope is that this is just expected PA within macro accumulation before the next run up.
To the downside (worst-case) we will look for the bottom to hold as well as the crucial macro Gann level 5.
Seen someone mention that I nailed this move, but I can and will only take credit once we get confirmation that these levels have held x
woah, sharding is coming to @openservai and it will honestly change everything 💯
think back to the invention of the printing press
before it existed books were hand-copied, full of errors, no two the same, then the press fixed it, set the plates once, print thousands of identical pages, reset plates, then create thousands more
sharding is the press of agentic workflows
currently, agentic workflows rely on the LLM for decision making, even simple tasks are run through a system prone to hallucinate,
@openservai sharding fixes this, here’s how
$SERV agents initially create a reasoning diagram, a structured, machine-readable flowchart mapping every step, branch, and verification check before execution begins
that initial diagram is then split up into distinct, deterministic, executable shards
the LLM defines the logic once, then the shards deliver the results, always perfect, consistent, reliable, zero variance or drift
plus, every node and every decision is logged, the agent becomes a verifiable, traceable record, no more black boxes
this enables the auditability, compliance, and repeatable production workflows that enterprises and governments need at scale
@openservai is building the deterministic infrastructure that the largest players in pivotal sectors have been waiting for
the release of sharding will be the printing press moment for the agentic economy and it’s being created by @openservai, no one else has the tech
imagine reading this and not feeling like the $SERV token was massively undervalued
might want to load up now, many will be sidelined when enterprise clients start rolling in, $SERV is not a quick flip, this is what generational opportunity looks like 🔮🔥
Tim from $SERV saying the major partnership has been 1 year of talks.
This seems serious.
The @openservai Telegram is the source for this. All the info before the pump hits the public telegram group
👇👀👇
https://t.co/omcZZ1oXkd
I really don’t think there is a greater investment opportunity than $SERV
@openservai is disrupting a trillion $ industry whilst valuation sits $60m FDV
Everything is going according to plan, adoption & exposure accelerating
Market decouple & $VVV type run imminent
This is the most interesting thing from my $SERV thread.
The EU AI act makes it mandatory for high-risk AI systems of finance to provide full auditability and traceability.
@openservai reasoning is auditable. The SERV Blueprint is the unlock for auditable reasoning.
You have multi billion $ web3 projects, major web2 enterprise & thelikes of UAE government all talking about or using ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042
You have the ex head of google play helping scale 👇
I cannot see how this isn’t the greatest on chain project ever seen - multi billions
@openservai
The crypto ecosystem is full of noise.
Riddled with vapourware and projects that lack product market fit.
Its not so often that im excited by much being built outside of Ondo.
I must say however, that im rather impressed by the @openservai team and their recent successes.
Just dug into Stanford's AI Index Report 2026 - reading through the data, four things become obvious:
- reliability + cost savings = the holy grail of enterprise AI
- Fortune 500s now rank reliability as the #1 factor for large-scale adoption
- running agents in production requires accuracy engineering (retries, fallbacks, observability, HITL) that most builders underestimate by an order of magnitude
- the winners of this market will be those who can guarantee agent reliability in enterprise AI
literally ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042 coded.
these are the exact pain points it is solving.
full report: https://t.co/K8Cifdkzyf
we're witnessing a clear trend: a multi-trillion dollar market running on infrastructure that's getting more expensive every cycle
just read Gartner's latest AI forecast:
- $2.59T market in 2026 (+47% YoY)
- $3.5T in 2027
while frontier model prices keep climbing:
GPT-5: $10/M -> GPT-5.4: $15/M -> GPT-5.5: $30/M
it's clear enterprise will be looking for cost-savings while adopting AI at large scale.
this puts ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042 at the center of the AI agent economy - delivering up to 100x better performance-per-dollar in enterprise benchmarks, with no vendor lock-in.
with a single-line swap, you plug any frontier model into SERV Reasoning and the economics flip in your favour: agents become not just efficient, but also reliable and fully auditable.
it's why most enterprises in SERV Reasoning Private Beta are already moving over, once they try it
UAE gov is using SERV tech in production; Akretic (security layer for finance, healthcare, government, defense), treasury infra (BILLZ), agentic OS for the food industry (GastroSight), agent compliance layer (ThoughtProof) - AND MANY MORE - all switching their entire stacks
private beta already crossed 100K+ requests last week.
incredible foresight + PMF from @openservai
ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042 summer is fast approaching
Their proprietary reasoning tech will be mass adopted in every web2 enterprise & on chain builder
Makes all #AI models faster, more accurate (0% fail rate) and significantly cheaper to run (over 100x in come cases)
@openservai eco explodes
ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042 is the greatest investment opportunity in the entire market rn
Their tech is proven, solving THE BIGGEST problems with #AI & unlocks true enterprise adoption
Model agnostic, infinitely scalable
Will completely decouple from $BTC (already has a lil) wen beta ends
$SERV conviction is actually higher now than when I posted this.
Private beta just smashed 100k+ requests. Real teams are migrating entire apps. Usage is accelerating hard.
16x faster + 9x more efficient than frontier models. Real revenue, token burns, yield, agent marketplace + launchpad all LIVE.
UAE gov already running on it.
This is the foundational infrastructure the entire agent economy is going to need.
At current MC this is still ridiculously undervalued for how high it can go.
The pickaxe just got sharper. @openservai
AI is the hottest narrative rn
I have been watching @openservai for almost a year now and they are building non stop, truly on another level
big pump the last few days and it looks like it's just warming up. the ethereum:0x40e3d1a4b2c47d9aa61261f5606136ef73e28042 reasoning engine is already in production with the UAE government + 10 enterprise deployments via their partner Neol
enterprise validation + many independent benchmarks already confirming tech is real and getting massive interest
ex-google head of partnerships just joined the team to scale it
you know how rare it is for a token this size to have real gov adoption? missed vvv, it might be the next good play
NFA
After spending around $ 1500/month since October on agent inference, we found that @openservai reasoning tech is extremely useful for every task, as compared to latest of the frontier models @OpenAI and @AnthropicAI.
Since trying out SERV Reasoning, our bill went down significantly AND the results are better. None of these other frontier models can actually reason properly. On Arc-AGI 3 benchmark humans score 100, @OpenAI and @AnthropicAI do really poorly
The significance of this should not be underestimated. @openservai opens up a previously non addressable market in the AI revolution - this can actually propel wide-spread enterprise adoption of AI.
Gonna be sharing some benchmark results in a while after we scale up our usage.