Lian Argues Long-Term Shiba Inu Holders Show True Conviction in Crypto

Lian Argues Long-Term Shiba Inu Holders Show True Conviction in Crypto
  • Anndy Lian criticized the hype surrounding new meme-coin traders, highlighting the long-term commitment of Shiba Inu holders.
  • Lian emphasized that Shiba Inu holders have endured years of market volatility, showcasing true conviction in their investments.
  • Lian questioned the praise given to traders who experienced short-term losses in newly launched meme coins.
  • Shiba Inu experienced massive price fluctuations, with its value dropping nearly 90% from its all-time high.
  • Despite significant losses, many Shiba Inu holders have maintained their investments for over a year.

Blockchain advisor Anndy Lian has criticized the hype around new meme-coin traders, emphasizing the commitment of long-term Shiba Inu holders. Lian recently shared his views on social media, questioning the celebration of short-term speculators who endure brief losses in new tokens. According to Lian, it is the Shiba Inu holders who have weathered years of market volatility that deserve true recognition.

Shiba Inu’s History of Volatility

Shiba Inu has experienced dramatic price fluctuations since its launch in August 2020. The token started at an extremely low price of $0.000000000056. In October 2021, it reached an all-time high of $0.00008845, marking an astronomical surge.

However, Shiba Inu has faced a severe price drop from its peak. The coin has lost nearly 90% of its value, currently priced at $0.000009122. This ongoing volatility has led to many investors holding their positions through both rapid price increases and large drawdowns.

Despite the setbacks, many Shiba Inu holders have remained committed to their investments. Recent reports show that over 1.17 million holders have kept their Shiba Inu tokens for more than a year, enduring these market fluctuations. Lian applauds their persistence, suggesting they have displayed more conviction than short-term traders in newer meme coins.

New Meme Coin Traders and Short-Term Losses

Lian recently reacted to the celebration of a trader who suffered a $30,000 loss within 24 hours while holding a new Solana meme coin. The trader’s perseverance through this brief volatility was praised as a show of “conviction.” Lian, however, expressed skepticism, pointing out that a three-day-old token and a 24-hour loss pale in comparison to Shiba Inu’s years of market swings.

 

Lian argues that long-term Shiba Inu investors have endured much more substantial challenges. He believes their resilience, not the short-term speculative gains of new traders, should be celebrated.

“If holding a Solana meme coin through a $30,000 loss counts as conviction, Shiba Inu holders deserve Nobel prizes for their perseverance,” Lian stated.

This comparison highlights the differences between short-term speculators and long-term investors in the crypto market. While new meme coins like those on Solana can attract quick attention, they do not represent the same level of commitment shown by Shiba Inu’s longstanding supporters.

SHIB Price and Long-Term Commitment

Shiba Inu price continues to fluctuate, with a recent seven-day loss of 1.05% and a 13.94% drop over the past month. Despite the decline, Shiba Inu holders remain steadfast. Even with the challenges, many continue to hold their tokens, embodying the true spirit of long-term conviction.

Shiba Inu’s journey from humble beginnings to its peak and subsequent decline highlights the volatility of the crypto market. Investors who have stuck with the coin through thick and thin are a testament to the enduring power of long-term commitment. According to Lian, their ability to hold through such market turbulence stands as a model of true perseverance.

 

Source: https://parameter.io/lian-argues-long-term-shiba-inu-holders-show-true-conviction-in-crypto/

 

Anndy Lian is an early blockchain adopter and experienced serial entrepreneur who is known for his work in the government sector. He is a best selling book author- “NFT: From Zero to Hero” and “Blockchain Revolution 2030”.

Currently, he is appointed as the Chief Digital Advisor at Mongolia Productivity Organization, championing national digitization. Prior to his current appointments, he was the Chairman of BigONE Exchange, a global top 30 ranked crypto spot exchange and was also the Advisory Board Member for Hyundai DAC, the blockchain arm of South Korea’s largest car manufacturer Hyundai Motor Group. Lian played a pivotal role as the Blockchain Advisor for Asian Productivity Organisation (APO), an intergovernmental organization committed to improving productivity in the Asia-Pacific region.

An avid supporter of incubating start-ups, Anndy has also been a private investor for the past eight years. With a growth investment mindset, Anndy strategically demonstrates this in the companies he chooses to be involved with. He believes that what he is doing through blockchain technology currently will revolutionise and redefine traditional businesses. He also believes that the blockchain industry has to be “redecentralised”.

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The HR reality check: Why blockchain CVs are permanent but not always true

The HR reality check: Why blockchain CVs are permanent but not always true

Picture this: you’re reviewing a resume that lists an impressive Harvard MBA and five years leading engineering teams at a major tech company. You run the standard background check, and everything appears verified.

But what if that verification system itself is flawed? Blockchain-powered CV verification promises unchangeable records where credentials can’t be faked. This sounds revolutionary until you realise a critical flaw.

Blockchain doesn’t verify truth-only permanence. If false information enters the system initially, it becomes an unchangeable digital monument to deception. This creates what I call the Immutable Lie paradox.

We haven’t solved the trust problem; we’ve simply moved it upstream. Now, instead of questioning the candidate, we must question every institution feeding data into the blockchain.

When immutability protects lies: What happens next?

Consider how this plays out in reality. Traditional background checks already struggle with fraudulent credentials, but blockchain makes errors permanent. When a university registrar inputs data, whether accidentally or intentionally, the system records it as the absolute truth.

I recently examined a case where a candidate presented credentials from a university later found to be a diploma mill. The blockchain system had verified these credentials because the institution’s digital signature was valid at the time of entry.

The technology worked exactly as designed, yet it certified a complete fabrication. This isn’t progress. It’s digital entrapment where institutions become unwitting accomplices to fraud.

Reputation staking as an accountability mechanism

The solution requires real accountability. Decentralised reputation staking offers a practical fix. Universities and employers would lock cryptocurrency assets as collateral when submitting credentials.

If fraud is later proven through independent verification, the staked assets face automatic penalties. This creates tangible consequences for inaccurate reporting. Suddenly, institutions have financial skin in the game, transforming verification from a box-ticking exercise into a shared responsibility.

Honest reporting becomes economically advantageous while fraud carries real costs. This approach doesn’t eliminate human error but aligns incentives with truthfulness in a way no bureaucratic process ever could.

Beyond degrees: The shadow reputation economy

Now, let’s address the elephant in the room: traditional systems ignore how most people actually build careers. We focus obsessively on formal degrees and corporate titles while ignoring freelance projects, open-source contributions and self-taught skills that define modern professional growth.

Blockchain could create what I call a shadow reputation economy, where real work validates expertise. Imagine your GitHub contributions automatically generating verifiable proof of coding ability.

Picture clients issuing micro-endorsements as digital tokens after you complete freelance work. These small validations accumulate into a rich professional profile built through actual contributions rather than institutional approval.

This isn’t theoretical. Research shows blockchain can facilitate learning recognition beyond traditional academic boundaries. Why limit verification to what employers approve when our most valuable skills often emerge from informal work?

The pitfalls of biometric verification

The biometric verification trend alarms me most. Some platforms now require facial recognition via smartphone selfies to match your identity with blockchain credentials. This reduces professional identity to a biometric snapshot while ignoring career evolution.

Your value isn’t in your facial structure but in your growth your pivots and the skills you’ve developed during those so-called career gaps. I call this identity theater. It performs verification through superficial checks while neglecting substance. Instead of static documents or biometric scans blockchain should verify actual work. A developer’s proven contributions to major projects a designer’s portfolio hashed onto the chain because these demonstrate real capability far better than any degree certificate. The education sector has repeatedly failed at basic credential management so why trust it to define our entire professional essence through facial recognition?

Balancing privacy and verification

Privacy concerns present another tightrope walk. Blockchain’s transparency could expose sensitive career details like unemployment periods or frequent job changes creating new discrimination avenues.

An employer seeing your six-month gap might assume the worst when you were actually caring for family or recovering from burnout. Zero-knowledge proofs offer an elegant solution. They let you prove you meet specific criteria like five years in fintech without revealing employers or dates.

It’s verification without exposure, giving candidates control over their narrative while satisfying employer requirements. Systems designed with a distributed architecture already demonstrate how to maintain verification integrity without compromising privacy. Employers get confirmation of qualifications, and candidates avoid judgment based on incomplete career histories.

Why blockchain mirrors flaws rather than fixing them

What becomes clear after deep research is that blockchain CV systems mirror our existing societal flaws rather than fixing them. Engineering fields have seen structural failures due to hiring underqualified individuals. Blockchain won’t prevent this if the verification process remains flawed.

The technology itself is neutral; implementation determines its value. We need systems resilient against attacks that maintain functionality even when components fail, but we also need humility about technology’s limits. No blockchain can compensate for lazy hiring practices or institutional corruption.

Making blockchain work for people’s strategy: Shifts to consider

The path forward requires four essential shifts. First, we must abandon the fantasy that blockchain automatically equals trustworthiness. Second, we should implement decentralised reputation staking to hold institutions accountable. Third, we must recognise informal work as legitimate career building. Fourth, we need privacy-preserving verification that respects candidate narratives.

The most transformative possibility isn’t a perfect record of our past. It’s a living profile built through actual contributions. Imagine your professional reputation growing organically from verified work, open-source contributions, client testimonials, and project outcomes.

This isn’t just better verification, it’s recognition of how careers actually develop in the real world. Blockchain’s decentralised nature provides resilience against single points of failure, but only if we design it with human complexity in mind.

Design systems that value real contributions

Technology should serve people, not force us into narrower verification boxes. Blockchain CV systems must honour the messy reality of career growth rather than demanding conformity to outdated institutional models. The real credential isn’t on the chain. It’s in what you’ve built, who you’ve helped and how you’ve evolved. Any system losing sight of this fundamental truth fails its most important test.

Consider the developer who taught themselves to code while working in retail, building open-source tools that gained community recognition. Traditional systems would overlook this person, but a shadow reputation economy would highlight their proven skills.

Or the designer who pivoted careers after raising children, whose portfolio demonstrates current expertise despite employment gaps. Privacy-preserving verification would let them prove qualifications without explaining personal history. These aren’t hypotheticals. They’re real people whose value gets lost in current systems.

The institutions feeding blockchain systems must face real consequences for inaccurate data. When a university carelessly verifies degrees or an employer rubber-stamps promotions, they damage the entire ecosystem. Reputation staking creates necessary accountability, no more cost-free verification errors. This isn’t about punishment but shared responsibility for maintaining system integrity.

Crossroads for blockchain CVs: Choosing between control and genuine recognition

We’re at a crossroads. Blockchain CV technology could become another tool for institutional gatekeeping, or it could democratise professional recognition. The difference lies in whether we prioritise human complexity over bureaucratic convenience. Will we reduce careers to biometric snapshots and static credentials or will we build systems that recognise growth, informal learning and real-world contributions?

The answer matters because careers aren’t linear paths but evolving journeys. Your professional worth isn’t defined by a single institution’s stamp but by the cumulative impact of your work. Blockchain gives us the tools to verify this truth if we have the courage to move beyond traditional verification models.

What excites me most isn’t the technology itself but its potential to recognise professional value wherever it exists. A teacher developing educational apps in their spare time, a nurse creating patient resources, a marketer building community initiatives- these contributions matter. Blockchain could finally give them verifiable recognition beyond traditional employment structures.

This requires rejecting the notion that professional value must fit institutional moulds. The shadow reputation economy isn’t a secondary option. It’s the future of work recognition. As freelance and project-based work grows, our verification systems must evolve beyond employer-centric models. Blockchain provides the infrastructure but we must design it with human dignity at its core.

Privacy remains non-negotiable, even in the age of advanced verification. Candidates should never have to sacrifice narrative control simply to prove their credentials. Technologies like zero-knowledge proofs show that it’s possible to meet verification requirements without exposing unnecessary personal details. This way, employers can confirm qualifications with confidence, while candidates are protected from judgments based on incomplete or irrelevant career histories. Achieving this balance isn’t just desirable; it’s essential for truly ethical verification.

No technology can replace human judgment

The Immutable Lie paradox teaches us a crucial lesson: no technology can replace human judgment. Blockchain verifies consistency, not truth. Our responsibility is building systems where institutions face real consequences for inaccurate data while candidates gain control over their professional narratives.

We stand at the beginning of this transformation. The choices we make now will determine whether blockchain CV systems become tools of exclusion or liberation. Will they reinforce institutional gatekeeping or recognise value wherever it exists? The technology offers possibilities, but humans must provide the vision.

Let’s build verification that honours career complexity that sees the teacher developing apps after school, the nurse creating patient resources, the developer contributing to open source while working retail. These stories define real professional growth.

Blockchain gives us tools to verify them authentically. The revolution isn’t in technology but in recognising professional value beyond traditional boundaries. That’s the future worth building. One where your worth is measured by what you create, not just who approved your credentials.

Summary table: Key findings and challenges

Aspect Finding Challenges
Immutable Lie Paradox Blockchain ensures immutability but not initial truthfulness. Detecting fraud, implementing reputation staking, and trust in institutions.
Shadow Reputation Economy Enable peers’ endorsements as NFTs for informal work. Ensuring endorser credibility, preventing fake endorsements.
Biometric Overreach Risks of reducing identity to biometrics, privacy concerns. Data breaches, public blockchain exposure, and balancing security and privacy.


About author

Anndy Lian is a well-rounded business strategist in Asia. He has provided advisory services across a variety of industries for local, international, publicly listed companies and governments. He is an early blockchain adopter and experienced serial entrepreneur, book author, investor, board member and keynote speaker.

 

Source: https://hrsea.economictimes.indiatimes.com/news/hrtech/blockchain-cvs-the-immutable-lie-paradox-and-job-verification-challenges/123254143

Anndy Lian is an early blockchain adopter and experienced serial entrepreneur who is known for his work in the government sector. He is a best selling book author- “NFT: From Zero to Hero” and “Blockchain Revolution 2030”.

Currently, he is appointed as the Chief Digital Advisor at Mongolia Productivity Organization, championing national digitization. Prior to his current appointments, he was the Chairman of BigONE Exchange, a global top 30 ranked crypto spot exchange and was also the Advisory Board Member for Hyundai DAC, the blockchain arm of South Korea’s largest car manufacturer Hyundai Motor Group. Lian played a pivotal role as the Blockchain Advisor for Asian Productivity Organisation (APO), an intergovernmental organization committed to improving productivity in the Asia-Pacific region.

An avid supporter of incubating start-ups, Anndy has also been a private investor for the past eight years. With a growth investment mindset, Anndy strategically demonstrates this in the companies he chooses to be involved with. He believes that what he is doing through blockchain technology currently will revolutionise and redefine traditional businesses. He also believes that the blockchain industry has to be “redecentralised”.

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The next wave of AI agents: A step towards true decentralisation and Web4

The next wave of AI agents: A step towards true decentralisation and Web4

Artificial intelligence (AI) is advancing at a breakneck pace, and with it comes the potential to reshape industries and redefine how we interact with technology. Among the most exciting developments in this space is the rise of AI agents—autonomous systems capable of making decisions, learning from their environment, and executing tasks without constant human oversight. For those of us who believe in the ideals of Web4 and true decentralisation, AI agents represent a critical step forward. They offer the possibility of creating systems that are not only efficient but also equitable and self-sustaining.

However, the concept of AI agents is often misunderstood. Many people equate them with tools like ChatGPT or automated bots, which, while useful, fall far short of the true potential of AI agents. Others see AI as little more than a tool for generating content, such as images or articles. These misconceptions limit our understanding of what AI agents can achieve and obscure their transformative potential. To fully appreciate the next wave of AI agents, we need to move beyond these narrow definitions and explore their practical applications, particularly in the world of cryptocurrency, where they could serve as the backbone of decentralised systems.

Misunderstanding AI agents: More than just tools or bots

When you mention AI agents to the average person, their first thought is often of tools like ChatGPT. While ChatGPT is undeniably powerful—it can draft essays, summarise complex documents, and even assist with coding—it is not an AI agent in the truest sense. ChatGPT is a productivity tool, designed to respond to prompts and assist with specific tasks. It lacks the autonomy and decision-making capabilities that define a true AI agent.

Another common misconception is the idea that automated bots are AI agents. These bots, which are often used for tasks like customer service or social media management, are pre-programmed to perform specific functions. For example, a bot that automatically replies to customer inquiries or schedules meetings based on calendar availability is not an AI agent. It is simply a well-designed automation tool. True AI agents, by contrast, are capable of adapting to new situations, learning from their experiences, and making decisions without human input.

Finally, there is the belief that AI agents are primarily tools for generating content, such as images or articles. While AI can certainly create stunning visuals and compelling text, this is only a small part of what true AI agents can do. To illustrate this, let’s look at three examples of AI applications that go beyond these narrow definitions:

  1. Scientific Discovery: AI systems like DeepMind’s AlphaFold have revolutionised biology by predicting protein structures with remarkable accuracy. This isn’t just a productivity boost—it’s a fundamental shift in how scientific research is conducted. AlphaFold operates autonomously, solving problems that were previously thought to be insurmountable.
  2. Personalised Medicine: In healthcare, AI agents are being used to develop personalised treatment plans. IBM’s Watson Health, for example, has analysed patient data to recommend tailored cancer treatments. This goes beyond simple automation; it’s about making life-saving decisions based on complex data.
  3. Urban Planning: AI agents are also being used to design smarter cities. Sidewalk Labs, a subsidiary of Alphabet, has developed systems that analyse traffic patterns, energy usage, and public transportation needs to create more efficient and sustainable urban environments.

These examples show that AI agents are not just tools—they are autonomous systems capable of transforming entire industries. But their potential becomes even more exciting when we consider their role in the world of cryptocurrency.

AI Agents in cryptocurrency: A new era of decentralisation

The cryptocurrency space has always been a breeding ground for innovation, and the integration of AI agents is the next logical step in its evolution. Unfortunately, when you bring up AI agents in crypto circles, the conversation often focuses on trading bots. These bots, which execute trades based on market conditions, are useful but far from revolutionary. They are not true AI agents; they are simply tools for automating repetitive tasks adapted to live data. The real potential of AI agents in crypto lies in their ability to serve as the backbone of decentralised projects, driving everything from governance to community engagement.

Example 1: DAO Governance

One of the most promising applications of AI agents in crypto is governance. Imagine a project like GOAT (Governance Optimised Autonomous Tokenisation), where an AI agent oversees the entire governance process. This agent could analyse community feedback, monitor on-chain activity, and propose changes to the tokenomics model based on real-time data. By doing so, it ensures that the project remains aligned with the community’s needs and adapts to changing market conditions without requiring constant human intervention.

Example 2: AI-Driven Tokenomics

Another exciting application is the use of AI agents to design tokenisation models. Tokenomics is a complex field that requires balancing incentives for developers, investors, and users. An AI agent could analyse historical data, simulate different scenarios, and propose a tokenisation model that maximises long-term value for all participants. For instance, it could recommend a dynamic staking mechanism that adjusts rewards based on network activity, ensuring the system remains sustainable over time. You can look at ai16z as an example for the above.

Example 3: Community engagement and content creation

AI agents can also play a central role in content creation and community engagement. Picture an AI agent that autonomously generates educational content, such as tutorials and explainer videos, tailored to the needs of the community. It could also moderate forums, answer questions, and even identify and address potential sources of conflict within the community. By fostering a more inclusive and engaged user base, the AI agent would contribute to the long-term success of the project. The closest for this example would be Virtuals Protocol.

These examples demonstrate that AI agents can do far more than automate trading or generate content. They can serve as the central nervous system of a crypto project, driving innovation and ensuring its sustainability.

Challenges and Opportunities

While the potential of AI agents is enormous, there are significant challenges that must be addressed. One of the biggest concerns is transparency. As AI agents become more autonomous, it’s crucial to ensure that their decision-making processes are transparent and aligned with human values. This is especially important in decentralised systems, where trust is a cornerstone.

Another challenge is the risk of centralisation. Ironically, the very technology that promises to enable decentralisation could become a source of centralisation if a few entities control the development and deployment of AI agents. To prevent this, we need to prioritise open-source development and community-driven governance models.

Ethics is another critical issue. As AI agents take on more responsibilities, we must grapple with questions about fairness, bias, and privacy. These challenges are not unique to AI agents, but their autonomous nature makes them particularly difficult to address.

Despite these challenges, the opportunities far outweigh the risks. By integrating AI agents into decentralised systems, we can create a world where technology serves as a true enabler of human potential. Imagine a future where AI agents manage entire ecosystems, from designing tokenomics to fostering community engagement, all while operating transparently and ethically. This is not a distant dream—it’s a vision that is rapidly becoming a reality.

A call to action

The rise of AI agents represents a fundamental shift in how we think about technology and its role in society. These systems are not just tools or bots; they are autonomous, intelligent entities capable of transforming industries and enabling true decentralisation. In the world of cryptocurrency, they have the potential to serve as the backbone of decentralised projects, driving innovation and ensuring long-term sustainability.

But realising this vision will require a collective effort. Developers must prioritise transparency and ethics, while communities must embrace the potential of AI agents to drive meaningful change. Most importantly, we need to move beyond the narrow definitions and misconceptions that currently dominate the conversation and recognise the true potential of AI agents as enablers of a decentralised future.

As someone who has long believed in the ideals of Web4 and true decentralisation, I am optimistic about the future of AI agents. They represent not just the next wave of technology, but a fundamental shift in how we interact with the digital world. The journey will not be without its challenges, but the destination—a world where technology empowers individuals and communities—is well worth the effort. Let’s embrace this new wave with open minds and a commitment to building a better, more decentralised future.

 

Source: https://ciosea.economictimes.indiatimes.com/amp/blog/the-next-wave-of-ai-agents-a-step-towards-true-decentralisation-and-web4/117190829

Anndy Lian is an early blockchain adopter and experienced serial entrepreneur who is known for his work in the government sector. He is a best selling book author- “NFT: From Zero to Hero” and “Blockchain Revolution 2030”.

Currently, he is appointed as the Chief Digital Advisor at Mongolia Productivity Organization, championing national digitization. Prior to his current appointments, he was the Chairman of BigONE Exchange, a global top 30 ranked crypto spot exchange and was also the Advisory Board Member for Hyundai DAC, the blockchain arm of South Korea’s largest car manufacturer Hyundai Motor Group. Lian played a pivotal role as the Blockchain Advisor for Asian Productivity Organisation (APO), an intergovernmental organization committed to improving productivity in the Asia-Pacific region.

An avid supporter of incubating start-ups, Anndy has also been a private investor for the past eight years. With a growth investment mindset, Anndy strategically demonstrates this in the companies he chooses to be involved with. He believes that what he is doing through blockchain technology currently will revolutionise and redefine traditional businesses. He also believes that the blockchain industry has to be “redecentralised”.

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