@pmarca@pmarca have you seen this article by delphi labs COO @KSimback? These guys are tackling that exact bottleneck; cost (and reliability+auditability) of enterprise agents. Worth 5 minutes to skim? Happy to connect you with Kevin Simback
🔥 $SERV continues to make breakout attempts above the $0.08-$0.095 resistance zone despite the deep correction across the broader market.
Will $SERV successfully break out this week?
600K+ views on Kevin's post
Meanwhile Brian is talking about something similar
The biggest unresolved AI problem - and its solution - are being formulated in front of our eyes
Pretty insane to see 600k+ views on this article about a relatively little known project
I'll tell you why I wrote it, and it wasn't for any financial incentive (the team didn't ask me to write it, and I hold only a small amount of the token)
If you've followed my posts, I've been consistently writing about the unsustainable costs of intelligence that enterprises are facing
Demand for intelligence is near infinite, but only when there is ROI
If everyone tokenmaxxes with the most expensive models with the highest levels of reasoning, most use cases won't find ROI
What happens if we don't find ROI?
If enterprises don't find ROI, we start to see an unwind of the AI trade which has massive implications across financial markets and the global economy
We NEED for enterprises to find ROI, and soon
So that means we need to highlight more solutions that enable enterprises to get better intelligence-per-dollar spend, and get them adopted
I've been doing a LOT of research on this topic and posted a playbook for enterprises to reduce costs a few days ago (will link it in replies)
And I found this project OpenServ that has a solution called SERV Reasoning just hiding in plain sight, and in crypto of all places
That's what made me write about it, and I was naturally skeptical about it when I began (bc crypto)
I'm glad many people found this article helpful, let's keep the cost optimization dialogue going
This comment is the reality of the #Ai being used by business right now. It’s sloppy, can’t complete its task cleanly and frustrates your customers.
Sad part is, I’m sure this was marketed to this company as a product that will increase accuracy in orders, cut labor costs and improve their bottom line.
Most small business will jump on these promises without even knowing the truth about unbounded LLM driven agents.
Likely this restaurant will lose a ton of business from the system. Customers may fight through it once, but next time they want tacos, they’ll say, I’m not calling that damn place again and fighting that agent, call the other place.
The product that was sold to them to improve their bottom line, will destroy their business.
There is an easy fix, adoption of that fix is well underway, and it requires a single line of code!
The market for Bounded Reasoning enhanced Agents is massive. Every company can and will benefit soon.
The fix: The $SERV Reasoning Framework!
From tacos to legacy banks to biotech companies. $Serv Reasoning will be the foundational infrastructure to empower the true agentic economy! An economy that is faster, less expensive, lacks hallucinations, and builds trust with your customers.
The future is now, @openservai is inevitable.
@brian_armstrong Seeing this live through convos with builders in our private beta - we built a reasoning engine that helps cheaper models match or beat frontier model performance
Cost savings have been ~90% for teams switching over
If this is a focus would love to connect
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!