How to Stay Safe in a DeFi Era

Bitcoinist發佈於 2022-02-16更新於 2022-02-16

文章摘要

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.

你可能也喜歡

SaaS 大逃杀:活下来的赢家,都有一个共同点

微软Build大会宣告AI进入“员工时代”,与此同时,SaaS行业正经历一场“大逃杀”。市场担忧AI将取代人力,从而冲击按人头收费的传统SaaS模式。近期,部分公司股价强势反弹,揭示了市场的分化逻辑。 **核心分化点在于收费模式:** * **“消耗型”平台成赢家:** Snowflake(按数据处理量收费)、Datadog(按监控用量收费)等公司因AI创造更多工作负载而直接受益,用量驱动收入增长,股价表现亮眼。 * **“席位型”公司承压分化:** 以Salesforce、Intuit为代表,传统按人头/按任务收费的模式面临直接压力。尽管Salesforce积极向“按用量”模式(Flex Credits)转型且AI收入快速增长,但市场仍担忧其传统业务拖累转型速度。Intuit等公司则因产品易被AI替代而面临更大挑战。 **微软Build大会传递关键信号:** AI智能体正深度集成进操作系统(如Office Copilot默认Agent模式),微软也在加强自研AI能力以降低对OpenAI的依赖。同时,其获得的大额政府合同表明,在大型客户中,其平台席位模式依然稳固。 **未来观察重点:** 1. 市场反弹会否从“消耗型”平台扩散至能证明“AI提升单席位价值”的传统SaaS公司。 2. Salesforce的Flex Credits与AI平台Agentforce的增长能否持续加速,这是转型成功与否的关键样本。 3. 微软Copilot等AI智能体在企业中的实际采用数据,将验证其究竟是创造了新收入,还是替代了原有席位。 总结:SaaS行业的恐慌顶点已过,市场进入精细甄别阶段。能否从“按人头收费”成功转向“按AI创造的价值/用量收费”,或本身成为AI workload的承载平台,是决定公司能否在“AI时代”生存并胜出的分界线。

marsbit12 分鐘前

SaaS 大逃杀:活下来的赢家,都有一个共同点

marsbit12 分鐘前

Deepseek 能否为中国节省 1 万亿美元?

《DeepSeek 能否为中国节省 1 万亿美元?》一文探讨了DeepSeek如何通过技术创新,可能大幅降低中国AI基础设施的建设成本。 核心在于,AI硬件的成本正从计算芯片向昂贵的内存(如HBM)倾斜。DeepSeek通过三方面技术突破,系统性降低了对这类稀缺硬件的依赖: 1. **压缩“记性”**:采用多头潜在注意力(MLA)等技术,将长上下文对话所需的缓存(KV Cache)压缩至原来的极小部分,极大节省显存。 2. **按需唤醒“身体”**:利用混合专家(MoE)模型架构,每次只激活部分参数,并结合智能的存储调度,将多数参数移出昂贵显存。 3. **复用计算结果**:将算过的上下文作为缓存复用,用低成本的内存读取替代高成本的重复计算。 这些技术协同,使DeepSeek V4等模型在长上下文场景下,用同等硬件可能产出数倍的有效Token,等效于大幅提升硬件效率、摊薄单位成本。 文章据此进行推演:到2030年,全球AI硬件投资预计达数万亿美元。若DeepSeek的技术路线能使中国未来AI基建的硬件需求等效减少75%,在日均Token消耗达到数千万亿级的规模时,节省的投资额可能接近1万亿美元(约7万亿元人民币),相当于少建数万座智算中心。 更重要的是,此举将产业价值从受制于人的尖端算力芯片,部分转移至中国已有所突破的存储芯片及系统工程领域,提升了供应链安全性。DeepSeek的意义不在于“消灭硬件”,而在于通过极致优化,降低行业对最昂贵、最稀缺硬件的边际依赖,让AI能力更普惠,重塑未来AI基建的账本。 (注:文中关于万亿节省的具体数字属于基于行业趋势的推演观点。)

marsbit1 小時前

Deepseek 能否为中国节省 1 万亿美元?

marsbit1 小時前

交易

現貨
合約
活动图片