Throughout history, people have often dismissed or underestimated new technologies due to a mix of psychological, social, and practical factors, leading to a adoption lag.
Here's a brief breakdown:
-Lack of understanding and vision:
Emerging tech like @ModulusZK (a framework for zero-knowledge proofs based on first-order logic, enabling efficient privacy-preserving computations in AI and blockchain) can seem abstract or overly complex at first. People struggle to grasp its potential, much like early skeptics of the internet who called it a "fad" or electricity dismissed as a novelty in the 1800s.
-Cognitive biases and inertia:
Humans favor the status quo (status quo bias) and anchor to familiar tools. There's often initial resistance because "if it ain't broke, don't fix it," delaying shifts until benefits become undeniable—e.g., smartphones were mocked as unnecessary before mass adoption.
-Risk aversion and proof-of-concept needs:
New tech carries uncertainties, costs, and potential failures. Early versions might underperform, leading to skepticism. For @ModulusZK, as a cutting-edge ZK tool, developers and industries may wait for real-world validations, integrations, or ecosystem support before committing, similar to how blockchain itself lagged until @Bitcoin proved viable.
-Economic and social barriers: Incumbent players (e.g., big tech firms) resist disruption to protect markets, while regulations and infrastructure take time to catch up. This creates a "hype cycle" dip before widespread use, as seen with AI in the 1950s-80s "AI winters."
Over time, as successes pile up and barriers erode, adoption accelerates innovators lead, followed by the masses. @ModulusZK, being innovative in ZK, is likely in that early phase, but history shows these lags eventually give way to transformation.
This can be built on self-funded & operated servers, with compute from a network like @akashnet
It should include logic for automated re-deployments (across many geographic regions) in an AWS type scenario & optimally is self-healing & evolving.
Then nobody can take it down.
This framework for autonomous apps like a censorship resistant, self-managing X is how DePIN synergizes with all other sectors in Web3. PMF.
Many thanks to @cryptodavidw & @zksecurityXYZ for posting @ModulusZK’s Jamie Gabbay’s paper on https://t.co/A1ZBgkj0h9.
Make sure to give them a follow!
Two minutes of advice from the Oracle of Omaha is all you need to hear about investing. It’s the most simple explanation of such an obfuscated problem. It’s all about time, patience and understanding.
The outperformance of $ETH v $BTC is inherently due to the genius/clarity acts & sentiment. The moves violence is due to “shorters” forced buybacks.
Ironically, many more shorts will have been added by those who misunderstand the acts effects on smart contract based blockchains.
Follow @auryn_macmillan & have a look at what he is building with @EnclaveE3. Very big breins & they’re helping @ModulusZK & Dr Chad rn.
$CULT supports $CULT 🤝🏽
There’s only one $CULT on @Ethereum.
That’s the 100% decentralized, 100% autonomous public good @wearecultdao.
The epitome of Ethereum’s actual values… And the cutting edge of ZK with @ModulusZK.
It’s time to embrace Cult DAO.