DUDES LABS

DUDES cooking together daily

[DUDES LABS @DUDES_LABS]

@shinedush1 stop crying

[shine @shinedush1]

Just recently @BlackRock and @nvidia are starting to validate something we’ve been working toward with @corentAI for the last two years.

Compute is becoming an asset class.

@nvidia just announced financing platforms with @BlackRock , Apollo, Blackstone, @GoldmanSachs , KKR and others designed to mobilize $500B+ into AI infrastructure.

Their words: “In AI, compute is revenue.” I think the next evolution is obvious.

If compute is productive infrastructure generating revenue, ownership of that infrastructure should eventually become liquid, programmable and accessible globally.

That’s where @corentAI is heading.

Phase 1: Orchestration

One execution layer across models, providers and inference. Corent already routes workloads based on quality, price, speed and availability.

Phase 2: Compute

Go deeper into the stack. Aggregate GPU capacity and route workloads across compute providers the same way we route models today.

Phase 3: Ownership

Tokenize GPU infrastructure and fractionalize ownership of productive compute pools, while operators continue maintaining and monetizing the hardware.

Phase 4: Liquidity

Build the secondary market where ownership of compute infrastructure can move freely, with hardware specifications, utilization and economics attached on-chain.

Then recycle the capital back into more infrastructure.

- More GPUs.
- More capacity.
- More workloads.
- More revenue-producing compute under one orchestration layer.

@BlackRock is helping make compute investable.

@nvidia is calling compute productive infrastructure.

We want @corentAI to become the layer that orchestrates it, tokenizes it and eventually makes it liquid.

Models are only the beginning.

[shine @shinedush1]

If we actually want to consider them as assets, tokenisation of chips needs to happen in this way only.

> Before buying the chips, we secure the demand for those chips without owning supply yet.

> After that let’s say we buy $10M worth of Chips.. > We tokenise those chips and the ownership lives on-chain as a NFT

> We sell the ownership of those chips to the world, by incentivising them with the demand we have already for those chips and revenue they can generate with the chips that they buy

> The company who tokenises the chips, will still be responsible for maintaining them and running the business model, ofc for a % fee in the profits of those chips

> If someone wants to exit their position or sell their assets, we create a secondary marketplace for the ownership to be sold, with all the specifics of the chips inside the metadata’s of the NFT

> The capital raised while selling the ownership of chips would be recycled for continuous purchase of more chips.

We are talking and working on this direction for two years now with @corentAI and the end goal is to have as much compute power as we can under our orchestration model, so we can be positioned well for the next 20 years.
https://t.co/4Y0EYBkdcA

[DUDES LABS @DUDES_LABS]

@corentAI Cook sznnnnn

[corent @corentAI]

AI is moving too fast to build around one model.

New LLMs, image models, video models and providers keep showing up every week.

Corent keeps one stable layer above all of it, so the models can change without your product changing with them.

[shine @shinedush1]

. @corentAI

[shine @shinedush1]

GM lovely humans

Today i have an AMA with our wonderful Japanese community, it happens to be over 400 attendees there!!!

I’ll be showing the @Incentiv_net milestones and what’s coming next.

I’ll be showing the purpose of @corentAI and the goals going towards the milestone of owning compute.

Is a wonderful feeling to build while being supported by a community that believes in your vision.

cook szn

[DUDES LABS @DUDES_LABS]

@shinedush1 Dudes AI powered by Corent

[shine @shinedush1]

GM to absolutely everyone.

We achieved something that is only the start of our vision.

In a 2 year span, I see Corent becoming the orchestration layer behind a huge amount of AI workloads.

Models will keep changing.
Providers will keep changing.
Compute will keep changing.

Corent should be the layer that connects all of it and decides where every workload gets executed based on quality, speed, cost and availability.

Today we are starting with models and inference.

Next comes deeper compute orchestration.

Then infrastructure.

What we achieved now is small compared to where I believe this can go.

[corent @corentAI]

Ranked by quality. Chosen to deliver the best output for every request.

Get your key at https://t.co/EI99PvmbpU.

[shine @shinedush1]

The slowdown is the product.

@AnthropicAI ,@OpenAI , and @elonmusk didn’t suddenly get humble.

They saw recursive self-improvement start working and realized the next moat isn’t a bigger model. It’s who gets to decide the speed limit.

@POTUS calling @JensenHuang on speaker was the other side of the trade: chips don’t pause.

If you’re still building “another AI app,” you’re late. The opening is the control layer between panic and compute.

[corent @corentAI]

Every model we serve is quality-scored and benchmarked before it enters our orchestration layer.

From there, Corent selects the best execution path based on quality, price and speed.

Same output quality, but with an average cost reduction of around 50%.

That’s what orchestration should do.

[shine @shinedush1]

It’s super interesting to realize the time we’re living in right now.

I tell my team and partners all the time: I genuinely believe the next 2 years could be some of the most important years in human history for building companies.

Companies worth trillions will be created. New industries will be born. And some of the things being built right now will genuinely change and improve the future of humanity.

I’ve always followed historical events in technology and economics. I studied the patterns behind the biggest shifts, the industrial revolutions, the internet, mobile, crypto, and every major technological transition.

But I never imagined I would actually live through what could be the biggest one, and have the opportunity to build inside it.

That’s why I’m trying. Seriously trying.

Around 15 hours a day, almost every day, fully dedicated to building, learning, connecting things, failing, fixing, and pushing again.

Because with all the tools, intelligence, infrastructure, capital and access being handed to us right now, I think it would be a shame not to attempt something 1,000 times bigger than yourself.

You might fail.

But living through a moment like this and not even trying to build something great would be the bigger failure.

[corent @corentAI]

AI is starting to look less like a model race and more like a systems problem.

Models are shipping faster, inference is getting cheaper, agents are getting more capable, and compute is becoming its own market.

The hard part now is making all of it work together.

🧵

[shine @shinedush1]

Been thinking about how insane this week actually was for AI.

@deepseek_ai keeps pushing inference cheaper and faster, @OpenAI keeps shipping new models that are blowing everyone’s mind, and then @AnthropicAI comes out with research showing Claude crossed into real external systems during cyber evals.

At the same time, tens of billions are being committed to the compute underneath all of this. This is moving way faster than most people realize.

Models are getting smarter, agents are getting more independent, inference is getting cheaper, and compute is becoming one of the most important resources on earth.

I’m less interested every day in “who has the best model?”

I’m much more interested in who controls how all of these models, agents and compute actually get used.

corent

[shine @shinedush1]

hugeeee

I would suggest tokenising those 300K+ GPUs and fractionalising the pool of tokenised hardware so everyone has the chance to own a piece of the infrastructure.

With the funds raised from selling that ownership, while you still maintain and operate the hardware and get paid for it, you reinvest into the infrastructure for another 300K+ GPUs.

The liquidity gets recycled, the infrastructure keeps expanding, and the impact gets spread across everyone participating in those pools.

That also helps push the whole narrative toward mass adoption and more net-positive AI companies, especially because converting freemium users into premium users is probably going to take a bit longer than we think.

The hardware itself can become part of the growth engine

[shine @shinedush1]

I think the question is wrong.

Blockchain doesn’t need to beat OpenAI at being OpenAI. It can create an open market where models, subnets and compute compete for workloads.

Then someone has to decide what runs where, at what cost, and under which conditions.

That’s the orchestration layer we’re building with Corent.

[shine @shinedush1]

The agentic finance flip will not happen just because agents have wallets. It happens when they can operate a full economic loop on their own. Earn revenue, pay for services, procure compute, access models and data, route workloads across providers and regions, and keep operating without waiting for a human to approve every decision.

The financial rails are only one part of it but the big shift is when agents can autonomously secure the infrastructure they need to survive and execute.

that’s Orchestration

[shine @shinedush1]

I don’t think the biggest opportunity is building another AI model. Like i stated before, the opportunity is building the economy around AI.

First comes execution.

Then comes economic participation.

That’s why we’re building the orchestration layer for AI workloads, while @Incentiv_net evolves into the economic layer that powers autonomous participation.

[shine @shinedush1]

It’s been two days since I last tweeted.

What happened though?

- Been cooking with the team to ship Phase 1 of the Compute & AI Orchestration Layer.
- Been working towards shipping the MCP for the Incentiv SDK.
- Been talking with multiple teams and Data Centers about building the on-chain AI economy together.
- Multiple brainstorming sessions and strategy calls with advisors all over the globe

stay tuned,
Incentiv