People are dropping 10k buys on any micro dip of genesisl1:native
People out there looking for the next $tao and solana:2k8ifEcQgSnFdMC46GUD79cEgctsrzQPzkNZ6RkKpump and celestia:native
And they find a project that combines everything, innovates like crazy with quantum resistance already enabled by a genius dev and no VCs...
Price is up only...
Micro dips are the dips.
Buy on the IBC side and stake, using restake. https://t.co/1RaDDropYD
Or buy on the base side (and use the bridge or keep it wrapped on base)
base:0xe6522a891702cd2e8cc2a5182638c9da1dd44b22
I don't bother with defi, only mega gems.
I bothered with ethereum:0x44b28991b167582f18ba0259e0173176ca125505 from $25, went 100x. and still will go nuts.
I bothered with L1 too.
Target wise it's clearly up only into 1 usd psychological price short term.
So that's my two defi project where I know the teams are safe and borderline genius, with connections and without VCs, and under the radar at the time of entry.
Ape those micro dips. Stake. And maybe let's see what the price is in 2-3 years :)
Can someone explain to me why I keep thinking every day about selling all my tokens and going all in on genesisl1:native ?
Please everyone, call me a retard in the comments so this post will age really really well.
Thanks.
@Zer0Spectr3@ztrader369 Because he didn’t have an X account before that. Dev was busy dev’ing. Also:
Mikhail Fedorov is a medical doctor and holds a Graduate Certificate in Bioinformatics from Harvard University Extension School.
@neuromancer_t@genesis_L1 I mean I’d be open to that! 😃 I’m not nearly as articulate or knowledgeable as some.
Come hang out with the community. You might be surprised what you find out!
https://t.co/DoYxQDVPO0
Why could genesisl1:native hit $5,000+ per token?
I know. That’s roughly a 20,000x from the current price.
Sounds insane.
But that’s “only” around a $200B market cap.
Now think about what Genesis is actually being built for.
Let’s talk about science first.
A single successful drug can create an enormous amount of economic value.
One successful peptide could be worth more than entire crypto ecosystems.
A single biomedical breakthrough can create billions in value, and GenesisL1 is being built as infrastructure for exactly these kinds of real-world scientific and computational workflows.
Models. Molecular structures. Scientific IP. Verifiable computation. Reproducible research.
Now let’s go further.
We have GL1F - Pumpfun for machine learning.
Pumpfun removed the coding barrier for launching tokens.
GL1F is removing the coding barrier for building machine-learning models.
This can go crazy. Could bring an entirely different type of user on-chain.
Then we have a decentralized Hugging Face + inference market.
Genesis is also building infrastructure where mainstream AI models can become tokenized Web3 objects and independent operators can provide inference.
Users and agents discover models → choose an operator → request inference → pay natively.
With x402, this becomes even more interesting:
machines paying machines for intelligence.
Machine-to-machine payments and inference could create an entirely new category of network activity.
Then add AI agents.
Humans might run 10 experiments.
Agents can run thousands.
Discover a dataset. Test a hypothesis. Train a model. Call another model. Pay for inference. Analyze the result. Repeat.
UI for humans. API for agents.
And all of this connects back to $L1.
And with the planned GL1F fee model, $L1 collected through those fees is intended to be automatically burned.
So now zoom out.
Machine learning + AI inference + agents + science + biotech + tokenized IP + machine payments.
Real-world utility.
Real demand.
Not just crypto speculation.
Learn GenesisL1. 🤝
“The next important blockchain may not begin with a financial product. It may begin with a scientific object.”
AI and biotechnology are advancing rapidly—but scientific trust infrastructure has not kept pace.
Models can be difficult to reproduce. Data provenance is often fragmented. Computational results may depend on hidden environments. Scientific IP remains difficult to verify, license and coordinate digitally.
GenesisL1 is building a live DeSci Layer 1 where these components can become part of one verifiable system:
• Molecular and bioinformatics data represented as persistent digital assets
• Model NFTs that commit trained machine-learning models on-chain
• Deterministic inference that independent parties can replay and verify
• AI agents able to discover data, execute models and coordinate workflows
• Encrypted scientific IP with programmable access and licensing
• The native L1 coin supporting gas, staking, governance, scientific state and application settlement
• Community-governed infrastructure for long-term scientific public goods
The goal is not simply to put scientific files on a blockchain.
It is to create an environment where scientific data, models, execution records and digital rights can remain connected—and where claims produced by AI can be traced back to inspectable inputs, committed models and reproducible computation.
This matters as AI becomes increasingly involved in molecular research, bioinformatics, drug discovery, protein science and other high-value scientific workflows.
The next generation of AI infrastructure should not only generate answers. It should make important results easier to verify.
Our new technical deep dive examines the GenesisL1 architecture, Model NFTs, deterministic on-chain machine learning, AI agents, encrypted scientific IP, L1 coin utility and community governance.
Read the original article on GenesisL1:
https://t.co/RjWVF9tHvL
Also published on Medium:
https://t.co/wLbFKQp5Bt
For researchers, developers and communities working across AI, biotech, bioinformatics, Web3 and decentralized science—the verifiable scientific economy is beginning to take shape.
#AIforScience #DeSci
@neuromancer_t Speaking of experiments, you should look at @Genesis_L1, which is to inference what training is to Bittensor. I’m not as big brained as some but I think this is in your wheelhouse. Much as as I appreciate #Ai, I appreciate human intelligence even more.🙏
Anyone looking for a stealth launch runner this coming bull season may want to read below. Not sure about projections like this but I’ve also heard the whispers… 👀 @genesis_L1
Why could genesisl1:native hit $5,000+ per token?
I know. That’s roughly a 20,000x from the current price.
Sounds insane.
But that’s “only” around a $200B market cap.
Now think about what Genesis is actually being built for.
Let’s talk about science first.
A single successful drug can create an enormous amount of economic value.
One successful peptide could be worth more than entire crypto ecosystems.
A single biomedical breakthrough can create billions in value, and GenesisL1 is being built as infrastructure for exactly these kinds of real-world scientific and computational workflows.
Models. Molecular structures. Scientific IP. Verifiable computation. Reproducible research.
Now let’s go further.
We have GL1F - Pumpfun for machine learning.
Pumpfun removed the coding barrier for launching tokens.
GL1F is removing the coding barrier for building machine-learning models.
This can go crazy. Could bring an entirely different type of user on-chain.
Then we have a decentralized Hugging Face + inference market.
Genesis is also building infrastructure where mainstream AI models can become tokenized Web3 objects and independent operators can provide inference.
Users and agents discover models → choose an operator → request inference → pay natively.
With x402, this becomes even more interesting:
machines paying machines for intelligence.
Machine-to-machine payments and inference could create an entirely new category of network activity.
Then add AI agents.
Humans might run 10 experiments.
Agents can run thousands.
Discover a dataset. Test a hypothesis. Train a model. Call another model. Pay for inference. Analyze the result. Repeat.
UI for humans. API for agents.
And all of this connects back to $L1.
And with the planned GL1F fee model, $L1 collected through those fees is intended to be automatically burned.
So now zoom out.
Machine learning + AI inference + agents + science + biotech + tokenized IP + machine payments.
Real-world utility.
Real demand.
Not just crypto speculation.
Learn GenesisL1. 🤝
If you're nex $tao token candidate dev isn't a complete mega nerd genius dev I don't want it.
DYOR on base:0xe6522a891702cd2e8cc2a5182638c9da1dd44b22 and quickly.
@AlgodTrading@mojoppg TAO incentivizes work. @genesis_L1 turns the model into an on-chain asset with a built-in inference market. That’s the actual new design.
Something HUGE is being built on Genesis genesisl1:native as we speak!
Market cap can literally teleport.
This is not hype. Is real demand.
The craziest Web3 infrastructure I’ve ever seen.
Nearly $800 million in total cumulative revenue since its launch.
That’s Pumpfun.
They broke the coding barrier for launching tokens.
We know 99.9% of them are rugs lol.
Now imagine breaking the coding barrier for machine learning. 🤯
Anyone being able to launch their own AI model with no skills required and being able to tokenize & monetize it if they want to.
Same principle. Completely different outputs.
Well, I know this sounds fascinating, but I’m sure that, at first glance, you can’t imagine how huge this could become.
So let me tell you this…
Keep your eyes on genesisl1:native
Mikhail is cooking.
Take a look at @Genesis_L1 They are doing amazing work in combining blockchain with #Ai, and bringing these into play with bioinformatics (#DeSci)
https://t.co/aAezSqf9xQ
Convergence of AI and blockchain is becoming more clear to traditional markets.
AI as interface, the intelligence layer. While blockchain provides markets, identity and trust.
AI without blockchain is a “single player mode” where your agent doesn’t have machinery to trust other systems and get other systems to do things at machine speed.
Blockchain without AI is great backend infra but too complex for people to use to full extent that we all know can be achieved.
Together it is a new computing and economic system that can be sovereign and user owned from the start.
@neuromancer_t Keep your eye on this one. Very much flying under the radar. $GL1 stealth launched late 2021. The intersection of #Ai and #DeSci. They released white paper in July and they’ve been slowly ramping up. No kohls and zero paid marketing. Shared cause I like your style 🙏❤️🔥
https://t.co/6wcdpJd7nR
Every protocol is a building block for the next.
Verifiable scientific data at the base. Deterministic compute and open #AI on top of it. Applications that snap the pieces together. On @Genesis_L1 nothing is a silo: each block is an input to every other
At this point, I’m convinced some VCs and big players are quietly accumulating genesisl1:native 🫢
This infrastructure could be worth trillions to science.