Unlocking the Creator Economy in Science with Verified Data #DeSci
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The on-chain bioreactor mainframe is here!
What if anyone, anywhere could run verifiable scientific experiments without a lab?
What if AI & biotech had access to trustless, reproducible data?
Here’s why it’s HUGE 🧵👇
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Verified science is here.
For decades, science has been held back by fraud, gatekeeping, and broken systems.
What if data couldn’t lie?
What if anyone could create and share discoveries?
That’s the world we’re building.
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It’s time to kick off verified science experiments! 🧪
Big updates dropping this week—including ways for the community to get involved. Stay tuned! 🔒
#VerifiedScience $CAUSE
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Thanks for hosting 🔥🔥🔥
The future of research is decentralized, open, and fair. 🌍🔬 At #IntersubjectiveDeSci, we’re redefining how science is funded, shared, and owned.
A huge thanks to our sponsors for making this possible! @DeSciWorld @CausalityNet @SeiNetwork @GoKiteAI @hetu_protocol @moledao_io
Join our community, explore DeSci, and be part of the movement. The future of science needs you! t.me/AuraSci1
#DeSci #thefutureofscience
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Guess what we did at ETH Oxford this weekend? 👀
Hacked a PCR machine to produce verifiable results! 🔬✨
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We will open our discord this week to on-board people who care about the integrity of science!
#VerifiedScience
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🚀 Join our Early Adopter Community! 🚀
We’re seeking labs to beta-test our hardware-based verification system, also open to researchers, DIY biologists, citizen scientists and more!
Let's shape the future of verified data.
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Causality Network making @MessariCrypto's DeSci list
DeSci’s market cap, excluding long-tail memecoins, is $1.2 billion, which is just 0.035% of crypto.
While Ethereum still hosts 49% of projects launched during previous cycles, Solana is gaining ground, accounting for 40% of projects launched post-2023.
The Rise of PHDegens.
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2025 is the year science becomes tamper-proof. 🔒
No fraud. No doubt.
Just verified, trustworthy data.
Let’s build the future together. 🎉
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Did you know a single doctor’s fraud once reshaped how millions of surgical patients were treated for pain?
Meet Dr. Scott S. Reuben, the anesthesiologist who faked data in at least 21 studies over more than a decade 👇
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Proof is better than promises
Trust in science shouldn’t be optional
Stay with us
#VerifiedScience #DeSci
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Tomorrow, science takes a step into the future—where trust, transparency, and discovery belong to everyone🔒
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AI is revolutionizing science, driving breakthroughs in drug discovery and unlocking new possibilities in research.
But there’s a downside: AI can also generate convincing fake data, making it harder than ever to trust what we see.
Here’s why hardware-based verification is the solution.
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Bold news needs a bold discussion. Join to debate the impact of the federal pause on NIH, CDC, and FDA communications.
How will this impact you as a scientist? How might this impact the world? What benefits might come from this?
Share your perspective
nitter.app/i/spaces/1BdxYEEqQZYxX
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In 2006, neuroscientist Sylvain Lesné published a groundbreaking study in Nature, identifying a specific amyloid-beta protein assembly, Aβ*56, as a key contributor to Alzheimer's disease.
This discovery significantly influenced Alzheimer's research.
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A DKG needs to be sure the input data is real (ie not fake, manipulated or AI-generated)
This is what we do.
We verify the data so projects like @origin_trail can thrive!
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Looking forward to what will be the best event at EthDenver!
🌟 Welcome @CausalityNet for joining our journey as Quantum Sponsor! 🎉
#DeSci #ETHDenver #AuraVerse #CausalityNetwork #Innovation
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We design, certify, and provide access to lab equipment that can't lie.
This unlocks the creator economy in science!
Verified science is here.
For decades, science has been held back by fraud, gatekeeping, and broken systems.
What if data couldn’t lie?
What if anyone could create and share discoveries?
That’s the world we’re building.
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The next wave of groundbreaking science is coming—not just from traditional institutes, but from curious tinkerers, hobbyists, and biohackers.
Here’s why the future of discovery is more open than ever. 👇
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We are!
Currently limited to our own hardware (though opening up soon) and verify the data cryptographically so we know the input data is genuine.
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🔮 let's play would you rather:
Option 1: Store biotech research data in traditional siloed databases with manual peer review
Option 2: Stream research data on-chain with real-time cryptographic validation and immutable audit trails
drop your thoughts in the thread 🪡
#donttrustverify #causalitynet #openscience #DeSci #biotechacquisition #Ethereum #BioTech
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In 2025, the lines between science and tech are blurring.
AI, hardware verification, and decentralised collaboration enable anyone to create trustworthy data.
The future of discovery belongs to everyone.
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AI will make this worse, this is why the hardware level cryptographic signing protocol we have built is so important!
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GM! Choose your character:
Player 1: Train your model in a black box where hardware errors silently corrupt your weights
Player 2: Deploy validation circuits that create an immutable proof of computational integrity for every training step
One prays for stability. One guarantees it.
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Follow us for weekly Fraud Chronicles and updates on how we’re building a platform to ensure this never happens again. 🔒 #VerifiedScience
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The greatest obstacle in personalized medicine is?
1. Training AI on siloed patient data
2. Hardware-validated genomic data streams
3. Cryptographically signed health records
👀 Tune into @DeSciMic to discuss all things DeSci TODAY at 5pm UTC.
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@gianlucadenovi we’re open to exploring any potential collaboration, let’s chat afterwards
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The future of science isn’t locked in labs.
It’s in your hands.
It starts with verified science. 🔒
Follow us and join the movement.
We'll be sharing more info soon, the first verified experiment will take place in January 👀
#VerifiedScience
#DeSci
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This case underscores the critical need for rigorous verification and transparency in scientific research.
With AI now easily able to produce credible looking fake data, the problem of fraud will get worse.
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This is why we are building a way to prevent this from happening.
This is better than detecting it once it has already happened (and wasted time, money and resources)
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Which infrastructure will be most crucial for preserving empirical research data in 2025?
11%
Institutional Databases
67%
Decentralized storage
22%
Hybrid Validation System
9 votes • Final results
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We're doing truth tech for DeSci 👀
Our protocol runs on lab equipment and cryptographically signs data so you know it's genuine.
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We are building this for science - for all type of scientific data
Imagine a world where every experiment produces tamper-proof, verified results.
Where anyone can generate trusted data—scientists, hobbyists, everyone.
This is the future we’re making real.
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We are at a stage where it is impossible to tell if data is real.
AI fraud detection tools aren’t enough—they address symptoms, not the root cause.
What’s needed is a system that establishes truth at the very source of data creation.
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Reuben’s story is a stark reminder: scientific integrity is fragile. A single fraudulent actor can undermine years of genuine work.
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Now, imagine a world where:
🔒 Every experiment is tamper-proof.
🧪 Every result is transparent.
🌍 Anyone can create and verify data—no credentials required.
This is what verified science unlocks.
This isn’t a dream. It’s the future of science. And it starts now.
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Verified science changes everything.
It restores trust.
It empowers creators.
It tears down barriers.
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All for nothing.
In 2022, a six-month investigation by Science magazine uncovered evidence suggesting that Lesné manipulated images in his research, casting doubt on the validity of his findings.
science.org/content/article/…
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Science didn’t always belong to institutions.
The greatest breakthroughs—flight, electricity, evolution—came from curious tinkerers, not sterile labs.
But over time, science became locked behind bureaucracy.
Progress slowed.
Trust crumbled.
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Hardware-level cryptographic signing using HSMs, TEEs, or Secure Enclaves is the solution.
This technology signs data at the source—before it leaves the device.
It’s the foundation for a new era of trusted, tamper-proof scientific data.
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The future of science isn’t built on promises.
It’s built on proof.
Follow us to see how verified science is changing everything. 🔒
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With social media flooded with fake images, it is hard to know what is real
How do you separate truth from AI-generated fakes?
The same problem is happening in science
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We’re making that a reality.
The future of science is on-chain.
Wanna get involved? - DM us or drop a comment👇
Expect some exciting announcements soon 👀
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Follow us for more Fraud Chronicles and updates on how we’re building a platform to ensure this never happens again.
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The authors then agreed to retract the study, making it the most cited paper to be retracted (over 2500 citations)
science.org/content/article/…
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Great spaces.
We use TEE/HSM/Secure Enclaves to build and certify lab equipment so that it can't lie.
Would love to chat!
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Today, the cracks are impossible to ignore:
❌ Billions are lost to fraud annually.
❌ Fake studies shaping global policies.
❌ Gatekeepers deciding who gets to discover.
The system is broken.
It’s time for something better.
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We’re building a system where:
✅ Data can’t lie.
✅ Where creators, not institutions, drive discovery.
✅ Long Tail of Science is finally unlocked
This isn’t just a tool. It’s a movement to give discovery back to the people.
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The study became one of the most cited in Alzheimer's research, shaping scientific understanding and funding priorities.
Billions in funding were rerooted, countless researchers changed focus, and biotech companies raised millions for drug trials.
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In 2010, Reuben pleaded guilty to health care fraud. He served 6 months in prison, paid $361K in restitution, and lost his medical license—one of the rare times a researcher went to jail for data fabrication.
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Why On-Chain?
Every experiment generates cryptographically signed data, proving:
✅ Who ran it
✅ What the results were
✅ If it can be replicated
No more fake data, manipulated results, or irreproducible studies.
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The one piece of fraud helped set back the search for a cure by almost 20 years.
And it gets worse
There are multiple examples of fraud just in the field of Alzheimer's alone.
See this thread by @moreisdifferent
List of high-level Alzheimer's researchers accused of credible fraud:🧵
#1 - Marc Tessier-Lavigne
Genentech pointed out problems in his 2009 Nature paper in 2012. After an expose by @tab_delete, he had to resign from Stanford Presidency, but can still run lab and do research.
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🚀 Science is at a turning point. Data trust is no longer optional—it’s essential. Be part of the revolution.
Join the Causality Network Early Adopter Community today. 🔗
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Reuben was hailed as a pioneer in “multimodal analgesia”—mixing non-opioid meds for better post-op pain relief.
His published results appeared in top journals…until it emerged that many studies never even happened!
scientificamerican.com/artic…
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Lets collab!
Our protocol authenticates data from the hardware so you can produce verified data.
Lets make verified rat neural networks :)
#DeSci
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Reach out to claim your spot to speak alongside @erik_vanwinkle @erinmagennis @descimic & others as we dive in
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His retractions sent shockwaves through journals. Editors scrambled to remove the fake studies.
The scandal highlighted that peer review alone isn’t foolproof against deliberate lies.
His papers continued to be cited long after the fraud was detected
retractionwatch.com/2015/07/…
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For the social media example, a solution would look like:
The camera's public key is registered to an entity, say CNN
Their camera would cryptographically sign the image and attest it on-chain
This would allow you to verify the image’s source as coming from an authenticated device, from a trusted entity, ensuring it’s credible.
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The damage went well beyond journals.
Doctors worldwide trusted Reuben’s “breakthroughs,” prescribing meds with questionable benefit and risking unknown side effects. Hospitals updated protocols based on his fake findings, wasting time and resources.
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The method?
Inventing patients out of thin air and fabricating data that perfectly fit his theories. An internal audit at Baystate Medical Center finally exposed Reuben’s bogus research
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Not enough, we need more!
We're using them to build a mainframe of open-source bioreactors!
The on-chain bioreactor mainframe is here!
What if anyone, anywhere could run verifiable scientific experiments without a lab?
What if AI & biotech had access to trustless, reproducible data?
Here’s why it’s HUGE 🧵👇
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With cryptographic signing:
Data is verified before it leaves the device.
Every experiment is tamper-proof.
Trust is baked into the system, not added later.
AI can help analyze data—but hardware ensures it’s real.
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Why commit such fraud?
Money. He obtained grants from pharma giants, promising real clinical trials. Instead, he fabricated patient records and results.
In total, 21 published studies were built on pure fiction.
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📢 How to apply
It’s simple—fill out the form, tell us about your work, and let’s build the future of verified, fraud-proof science together.
Link: forms.gle/B8YDZSBZh8teBZyaA
Spots are limited, so don’t wait!
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