How to Stay Safe in a DeFi Era

BitcoinistPublicado a 2022-02-16Actualizado a 2022-02-16

Resumen

Decentralized finance (DeFi) came into existence a few years ago but only recently rose to fame.

Decentralized finance (DeFi) came into existence a few years ago but only recently rose to fame. Like cryptocurrencies, this emerging financial technology runs on distributed ledgers and replaces intermediaries with smart contracts, making the entire asset management process automatic. With a $127.06B total market cap and $78.92B worth of crypto assets locked in P2P protocols, DeFi rightly holds the trophy of the fastest growing sector in the crypto space.

However, decentralized finance is not immune to common problems. The sector suffers from the same old disease that has been plaguing the crypto industry for a decade – scams.

The amount of money lost in DeFi is overwhelming. According to London-based firm Elliptic, users suffered losses totalling $12B, out of which scams were responsible for $10.5B. The figures are horrifying yet don’t condemn the sector. DeFi has a lot of potential – projects like Aave do give hope for the future. To avoid scams and find truly robust DeFi solutions, it’s vital to do your own research.

Product Reviews

Reviews help us learn about any underwater stones that the service or product have from former or current users. The feedback has a great value – it saves time and energy and, in some cases, money.

However, things don’t look simple when it comes to the crypto industry. After all, countries don’t have proper regulation mechanisms, and information can’t be easily verified. Yet, emerging review sources like TrustPilot started to pop up recently, e.g. RugDoc. The site has a big community and encompasses reviews on 2,600 crypto projects – yield farms, exchanges, OHM forks, play-to-earn games, and NFTs – spanning across 24 networks, including Solana, Binance, Polygon, Avalanche, and Cardano. RugDoc also monitors new projects with Launch Calendar.

At the moment, the crypto review niche is in its early development, but a few more projects are expected to emerge soon.

“Rugs” Under Rugs

Most scams are plain simple rug pulls. In the first phase, fraudsters add liquidity (usually in the chain native currency) to their tokens and attract investors. Then, they remove liquidity and run off with funds, pushing the token’s value to near zero and leaving holders with nothing.

There are other ways to fool the crowd, and Squid Game Token attributed to the show of the same name is a good example. Fraudsters simply disabled the ability to withdraw tokens for investors, leaving them with an unsellable asset. Thus, it’s vital to assess the projects from a technical standpoint.

Some companies have already implemented a strict audit and a special rating system. For example, RugDoc ranks projects from least risk to highest risk through a technical review of the project’s smart contracts- a controlling program deployed to the blockchain. The company also has a KYC Program that uses the process known as “doxxing” to verify the team members’ identities to hold them accountable in case of malicious events.

DeFi Monitor Tools

There are many DeFi tools that monitor crypto projects. Their sole purpose is to identify blind spots not visible to the general public and allow users to invest safely and efficiently in decentralized protocols. Some offer customized audits (e.g., DeFi Audits). In contrast, others have open-source tools (e.g., RugDoc), such as honeypot checker to verify if smart contract vetoes token sales, emergency withdrawal to let users remove funds from the project, and LP Breaker to separate LP tokens.

DeFi Knowledge

DeFi is a rapidly evolving industry with new projects popping up every single day. However, it’s essential to dive deep into details. That way, users can avoid scams and invest with certainty. That’s why many crypto projects have launched their own wiki hubs. In these hubs, users can find all the necessary info about decentralized finance and learn more about the product functionality. Projects like PolkaDot or Ethereum all have wiki hubs.

Furthermore, it gives users confidence that the project is up and running. However, not all have a portal of that kind, which is a reason to become suspicious. Wiki hub, just like White Paper, is essential for community development and trust.

In some cases, the project simply doesn’t have enough resources to create an entire separate wiki hub. In this case, users can turn to publicly available wiki libraries, like RugDoc Wiki, which covers tutorials and information on all Ethereum virtual machine compatible chains. Public knowledge sources are created for the community by the community. These places unite both crypto pros and investors where they share up-to-date information.

Wrapping Up

DeFi is one of the fastest-growing sectors in the finance industry. It offers great potential in transforming the financial industry and equally as many threats due to its decentralized nature. Thus, it’s vital investors adopt a security routine to analyze risk and access sources with additional information on the product or educational articles. That way, any user will be empowered to stay safe in the era of decentralized finance.

Lecturas Relacionadas

Variant: Bitcoin, Ethereum, and ZCash Highly Likely to Become Major Stores of Value

At Variant, our investment philosophy centers on enabling individuals to own their money, identity, and data. We believe all tokens fall into two categories: stores of value (SOV) or equity-like instruments. The SOV framework is particularly useful for evaluating Layer 1 (L1) blockchains, which are major monetary coordination protocols. A good store of value should possess: 1) Technical durability, 2) Scarcity, 3) Censorship resistance, 4) Economic productivity, 5) Strong memetics, and 6) Liquidity. The total addressable market for SOV assets is massive, with gold alone valued at $31 trillion. Three L1 assets stand out as prime candidates for becoming major stores of value: Bitcoin (BTC), Ethereum (ETH), and ZCash (ZEC). Bitcoin excels in memetic dominance as "digital gold." Ethereum demonstrates superior technical durability and adaptability through its upgradeable roadmap. ZCash offers exceptional censorship resistance and privacy via its shielded transactions. While digital SOVs outperform traditional ones like gold on many metrics, they still represent a small fraction of the overall SOV market, presenting a significant growth opportunity.

marsbitHace 37 min(s)

Variant: Bitcoin, Ethereum, and ZCash Highly Likely to Become Major Stores of Value

marsbitHace 37 min(s)

Can DeepSeek Save China One Trillion Dollars?

"DeepSeek and the $1 Trillion Infrastructure Question" The article examines whether DeepSeek's AI optimization breakthroughs could potentially save China $1 trillion in future AI infrastructure costs. The analysis begins with Nvidia's upcoming Vera Rubin AI platform, costing ~$7.8 million, where memory (HBM4/LPDDR5X) constitutes $2 million—a 435% cost increase in one year, highlighting how AI hardware spending is shifting toward expensive memory components. DeepSeek's approach works in the opposite direction. Through three key technical innovations showcased in DeepSeek V4, the company dramatically improves hardware efficiency: 1. **Memory Compression (MLA)**: Re-engineers the attention mechanism to compress long-context memory (KV Cache) by over 90%, drastically reducing expensive HBM usage. 2. **Selective Activation (MoE)**: Employs Mixture-of-Experts architecture where only a small fraction of parameters (e.g., 49B out of 1.6T in V4-Pro) are activated per token, allowing most parameters to reside in cheaper memory/SSD. 3. **Computation Caching**: Reuses previously computed results via cache hits, replacing expensive GPU computations with cheap memory reads. Combined, these optimizations allow the same hardware to produce approximately 4x more tokens, effectively reducing required hardware investment by 75%. DeepSeek's pricing reflects this: a 10-billion token workload costs ~$522 monthly versus ~$9,000-$10,000 for competitors. The $1 trillion savings projection stems from McKinsey's estimate that global AI infrastructure will require ~$5.2 trillion investment by 2030. As China's daily token consumption grows toward quadrillions, even marginal efficiency gains scale massively. With a conservative 4x throughput improvement, China could avoid building tens of thousands of AI data centers equivalent to ~7 trillion RMB ($1 trillion) in saved investment. Critically, this strategy shifts dependency from scarce, expensive GPU/HBM—where China lags—toward more accessible storage, caching, and systems engineering where domestic suppliers like CXMT are gaining strength. Rather than "replacing Nvidia," DeepSeek rebalances AI's value chain away from monolithic hardware dependency. Ultimately, DeepSeek's technical breakthroughs could lower the barrier to AI adoption across Chinese industries by making advanced capabilities affordable at scale—transforming who can access next-generation AI.

marsbitHace 37 min(s)

Can DeepSeek Save China One Trillion Dollars?

marsbitHace 37 min(s)

Overturning the Mainstream Approach to Hallucinations: Metacognition is the New Solution for Large Models to Break the Hallucination Barrier

This paper, "Hallucinations Undermine Trust; Metacognition is a Way Forward," proposes a paradigm shift in combating AI hallucination. It argues that the current mainstream approaches—striving for omniscience by scaling data/models or having AI abstain from uncertain answers—are fundamentally flawed. The former has inevitable knowledge gaps, while the latter imposes a crippling "utility tax," requiring the rejection of many correct answers to achieve high accuracy, due to models' poor "discrimination" (the ability to distinguish correct from incorrect answers internally). The core contribution is redefining hallucination not as "being wrong," but as "expressing false information with unwarranted certainty." The proposed solution is **Faithful Uncertainty** or **Metacognition**: enabling AI to accurately perceive its internal uncertainty and honestly express it in its language (e.g., using hedging phrases when unsure). This creates a more reliable assistant that provides useful information while signaling its confidence, minimizing harm from errors. The paper emphasizes that metacognition is critical for the era of AI Agents. Without it, Agents cannot intelligently decide when to use tools like search engines, leading to inefficiency and misuse. Key implementation challenges are highlighted: the "bootstrapping paradox" of training with static uncertainty data, the "alignment distortion signal" where human preference training suppresses internal uncertainty cues, and the difficulty of causally evaluating true metacognition vs. its superficial imitation. The paper concludes that the goal should not be an infallible AI, but one that is honest about the limits of its knowledge, thereby building user trust through transparent communication of its certainty.

marsbitHace 42 min(s)

Overturning the Mainstream Approach to Hallucinations: Metacognition is the New Solution for Large Models to Break the Hallucination Barrier

marsbitHace 42 min(s)

Hedge by Buying Gold and Oil, Chase Soaring Returns with AI. ‘Dated’ Bitcoin Enters a Bear Market

Bitcoin has recently declined, hitting a two-month low near $66,123, while Ethereum fell to a three-month low around $1,837. Analysts suggest the drop is not merely due to factors like ETF outflows or MicroStrategy's selling but reflects a deeper issue: Bitcoin is losing a broader asset competition. In a near-zero interest rate environment, Bitcoin previously thrived as an outlet for investor dissatisfaction with inflation and limited options. However, the market landscape has shifted. Bitcoin now occupies an "awkward middle ground," facing competition on three fronts. For inflation hedging, investors prefer gold, energy stocks, and commodity producers—assets with tangible backing and clearer pricing power. For growth exposure, AI-related companies with actual revenues and profits are more attractive. Even within crypto, investors can choose stablecoins, exchanges, or infrastructure firms tied directly to adoption, offering clearer business models and leverage. Thus, Bitcoin is no longer the top choice for hedging, growth, or crypto exposure. This shift is evident in market reactions: despite recent warnings about persistent inflation from a Fed official, Bitcoin did not rally as it might have in the past. Instead, capital flowed to assets with direct commodity or energy exposure. The recent ETF outflows and MicroStrategy sales are symptoms, not causes, of this new reality. Investors are becoming more selective, demanding clearer value propositions beyond mere scarcity. The emerging bear case for Bitcoin is not about it being a bubble or failed technology, but that scarcity alone is no longer sufficient.

华尔街日报Hace 45 min(s)

Hedge by Buying Gold and Oil, Chase Soaring Returns with AI. ‘Dated’ Bitcoin Enters a Bear Market

华尔街日报Hace 45 min(s)

Missed the AI Stock Surge, What to Do Now?

The article addresses investor anxiety over having missed the explosive, multi-year rally in AI stocks (e.g., NVIDIA, Micron, SK Hynix) across global markets. It notes that despite the broad bull run, data shows most retail investors lost money in 2025, and even major institutions like Bridgewater and Berkshire Hathaway significantly reduced holdings or held excessive cash, thereby missing substantial gains. The piece highlights common pitfalls: panic selling during corrections, misdirected investments into underperforming AI verticals, and premature profit-taking. It argues that AI represents a foundational, long-term technological shift comparable to electricity or the internet, implying the opportunity is not over. Citing figures like Jack Ma and Ma Huateng, the article suggests the AI wave is just beginning, with vast potential across the entire产业链, from infrastructure to applications. The conclusion advises against chasing trends blindly. Instead, it recommends a disciplined, long-term approach—focusing on one's own strengths within the expansive AI ecosystem to prepare for the next structural opportunities.

marsbitHace 1 hora(s)

Missed the AI Stock Surge, What to Do Now?

marsbitHace 1 hora(s)

Trading

Spot

Futuros