Uniswap CEO Warns of Scam Ads After $370M January Crypto Losses

TheNewsCryptoPubblicato 2026-02-21Pubblicato ultima volta 2026-02-21

Introduzione

Uniswap CEO Hayden Adams has issued a warning about fraudulent ads impersonating the platform, following a reported incident where a user lost all their funds. This comes as January saw $370.3 million stolen in crypto scams, the highest in 11 months. Adams emphasized that scam ads persistently reappear on major search engines, often appearing as top results for keywords like “Uniswap,” leading users to connect their wallets and approve malicious transactions. One user shared a story of losing a mid-six-figure sum despite being cautious. A single social engineering scam accounted for $284 million of the total losses.

The chief executive officer of Uniswap, Hayden Adams, has alerted users regarding fraud ads mimicking the platform, underscoring a case in which someone reportedly lost everything. It comes following the highest amount of funds stolen in crypto scams in January in 11 months.

He also mentioned that scam ads keep returning regardless of years of reporting, and there were scam Uniswap apps while we waited months for App Store approval, Adams mentioned in an X post on February 20.

He further went on, mentioning that scammers are increasingly purchasing ads on famous search engines, targeting keywords such as “Uniswap”, so when any user searches it, the top result seems official.

Unsuspecting users may then associate their wallets and approve a transaction, permitting scammers to take out their complete funds.

User Shares His Story

A social media user named “Ika” mentioned in an X article named “I lost everything, what’s next?” that his crypto wallet contained a mid-six-figure range value, and it got swept regardless of extreme care.

The user further went on to write that, “Disciplined for two years. Half-searching for a Web3 job, half-hoping to make it quick enough not to need one. I trust that getting swept is not bad luck. It is the last result of a long chain of bad decisions.”

He also shared a screenshot of a top Google search result having an inauthentic Uniswap link. However, this isn’t the first time that Uniswap has faced this issue. In October 2024, scammers identified the lack of domain authority of the website and made a version of the site that seems exactly like the actual one, except that it showed a “connect” button where “get started” should have been and a “bridge” button where it mentions “read the docs”.

Now, the amount of cryptocurrency swept via exploits and scams was $370.3 million in January, the biggest monthly figure in 11 months and around four times the increase from January 2025.

CertiK mentioned that out of the 40 exploits and scams witnessed in January, the major portion of the total value stolen came from one victim that lost about $284 million because of a social engineering scam.

Highlighted Crypto News Today:

Cardano (ADA) Faces a Key Test: Sustainable Breakout or Classic Bull Trap?

TagsCEOlossUniswap

Domande pertinenti

QWhat did the CEO of Uniswap warn users about in his February 20th X post?

AHayden Adams warned users about fraudulent ads mimicking the Uniswap platform, which have led to significant financial losses for victims.

QHow much cryptocurrency was stolen through exploits and scams in January according to the article?

A$370.3 million was stolen through exploits and scams in January, representing the highest monthly figure in 11 months.

QWhat tactic are scammers using to appear legitimate in search engine results?

AScammers are purchasing ads on famous search engines targeting keywords like 'Uniswap', making their fraudulent results appear at the top and seem official.

QWhat was the primary method behind the largest single theft of $284 million mentioned in the article?

AThe largest single theft of $284 million resulted from a social engineering scam.

QWhat did the user named 'Ika' report losing in the cryptocurrency scam?

AThe user named 'Ika' reported losing a mid-six-figure range value from his crypto wallet despite taking extreme care.

Letture associate

Sequoia Dialogue with Jensen Huang: Computing Model Undergoes a 60-Year Transformation; You Won't Be Replaced by AI, But You Will Be Dimensionality-Reduced by 'Those Who Master AI'

NVIDIA founder and CEO Jensen Huang, in a conversation with Sequoia Capital's Konstantine Buhler, argues that we are witnessing the most significant computing shift in 60 years—from retrieval-based to generative computing. Instead of just storing and retrieving data, future systems will generate highly personalized content (text, images, video) on demand, powered by massive "AI factories." Huang envisions a global "intelligence network" that will envelop the planet, following the historical patterns of energy and communication grids. He outlines a five-layer investment framework: 1) Energy, 2) Chips/Computers, 3) Infrastructure (data centers), 4) AI Models, and 5) Applications. He predicts this ecosystem will reach a scale of $20 trillion annually. Crucially, Huang pushes back against fears of AI-driven job loss. He distinguishes between specific "tasks" (e.g., typing, analyzing images) and overall "jobs" (e.g., CEO, radiologist). While AI automates tasks, it increases efficiency and demand for the higher-value problem-solving aspects of professions, thus creating more jobs and "up-leveling" careers. The real risk, he asserts, is not being replaced by AI, but being outperformed by someone who effectively leverages it. He urges everyone to embrace AI as a tool for augmented capability and innovation.

marsbit28 min fa

Sequoia Dialogue with Jensen Huang: Computing Model Undergoes a 60-Year Transformation; You Won't Be Replaced by AI, But You Will Be Dimensionality-Reduced by 'Those Who Master AI'

marsbit28 min fa

"I Don't Need a Better Model Anymore": A Panorama of AI Users Under a Reddit Hot Post

Titled "I Don't Need a Better Model Anymore": AI User Reactions on Reddit Anthropic recently released Claude Fable 5, its first publicly available 'Mythos'-tier model, achieving 80.3% on the SWE-Bench Pro benchmark and significantly outperforming its predecessor and competitors. However, a viral Reddit post titled "Claude Fable made me realize I don't need better models anymore" highlighted a growing user sentiment of "good enough." Top comments expressed "model fatigue," with users stating that earlier models like Opus 4.5/4.8 already sufficed for their workflows. High cost was a key concern, as Fable 5's API is nearly twice the price of Opus 4.8, with users questioning the return on investment and suggesting the field has hit a plateau. The most frequent complaint targeted Fable 5's stringent safety filters. Designed to intercept high-risk requests (e.g., cybersecurity), the system was perceived as overly conservative. Users reported frequent rejections for routine security-related tasks, leading to automatic fallbacks to the older Opus model. Paying users were particularly frustrated, feeling they paid a premium for a less usable product. Dissenting voices came from users with heavy, complex tasks. For workloads like high-energy physics simulations with thousands of code lines, Fable 5's improved long-context understanding and error detection represented a significant, worthwhile leap—described as moving from a "college player to an NBA starter." The debate underscores a divergence between benchmark performance and practical utility. For most users, current models meet their needs, making further advances relevant only for extreme use-cases. The discussion also raised concerns about a potential "Public AI Freeze," where the most powerful models (like the restricted Mythos 5) remain exclusive to enterprises and governments, while public offerings stagnate. The launch presents two report cards: one of technical excellence and another of user skepticism. Fable 5's ultimate reception may depend on Anthropic's ability to refine its safety filters and justify its cost for specialized, high-demand users.

marsbit36 min fa

"I Don't Need a Better Model Anymore": A Panorama of AI Users Under a Reddit Hot Post

marsbit36 min fa

When AI Traffic Surpasses Humans, How Do You Prove You're Human?

With AI-generated web traffic surpassing human activity, websites face a crisis as AI agents bypass ads, avoid clicks, and scrape data without generating revenue. This disrupts the ad-based internet economy, diverting traffic and reducing site visits. In response, sites are blocking AI crawlers and deploying traps like Cloudflare's "honeypot" pages. Traditional CAPTCHAs are now ineffective against advanced AI. The focus has shifted to behavioral biometrics—analyzing unique human patterns such as cursor movement, typing rhythm, and keystroke dynamics. Companies like IBM and BioCatch use this data to distinguish humans from bots, even detecting fraud through behavioral inconsistencies. Two competing approaches aim to verify human identity centrally. Sam Altman’s World (formerly Worldcoin) uses iris scanning to create unique credentials, though it faces privacy concerns and regulatory bans. Alternatively, cryptographic zero-knowledge proofs offer anonymous verification without revealing personal data, championed by Vitalik Buterin to avoid centralized surveillance. However, both systems have flaws. Centralized solutions risk biometric data misuse, while decentralized models may be exploited through identity rental markets in economically unequal regions. Despite challenges, the author favors cryptographic methods for preserving privacy over pervasive behavioral monitoring that permanently captures and controls personal biometric data.

marsbit44 min fa

When AI Traffic Surpasses Humans, How Do You Prove You're Human?

marsbit44 min fa

2026 Landscape of Decentralized AI: Why is Blockchain the Inevitable "Antidote" for AI?

**The 2026 Landscape of Decentralized AI: Why Blockchain is the "Cure" AI Cannot Ignore** Decentralized AI addresses fundamental bottlenecks of centralized AI: scarce and expensive computational resources, excessive control concentration, unverifiable model outputs, and increasing difficulty in acquiring training data due to privacy and regulation. Blockchain offers a path to make intelligence open, verifiable, and economically accessible. The technical stack comprises three layers: 1. **Applications & Services**: The main crypto use cases are "Agentic Finance" (converting natural language into on-chain actions) and "Agentic Payments" for machine-to-machine commerce. Projects like Giza, Infinity Labs, Coinvest AI, and x402 (handling 173M+ transactions) are key players. 2. **Middleware**: This coordination layer enables agents to discover, identify, and transact. Notable projects include Gokite AI (specialized L1), Virtuals (an OS for the agent economy), and especially Bittensor—a network of specialized subnets forming competitive AI micro-economies. 3. **Infrastructure**: The capital-intensive layer providing raw resources. It includes decentralized compute (Akash, Render, Aethir), verifiable inference (Venice AI, OpenGradient), distributed training (Prime Intellect, Templar AI), decentralized storage (Filecoin, Walrus), and privacy/verification layers (Nillion, Arcium, Phala Network) using technologies like ZKPs, MPC, and TEEs. The outlook for 2026-2027 indicates AI demand outpacing infrastructure, with AI agents as a primary growth engine. Computation is becoming an asset class, with on-chain markets as its financial layer. Tokenomics is emerging as a structural advantage for coordinating capital, compute, and data in decentralized AI networks. While still early—with adoption uneven and revenue often trailing token incentives—projects like Bittensor, NEAR, and Virtuals demonstrate a shift from speculative narrative to a new model for coordinating intelligence.

marsbit47 min fa

2026 Landscape of Decentralized AI: Why is Blockchain the Inevitable "Antidote" for AI?

marsbit47 min fa

a16z Crypto Partner: Cash Flow is the Moat

Cash Flow as the Moat: A Playbook for Crypto Founders Historically, the most enduring businesses have been built by positioning themselves within the "flow of funds"—facilitating the creation and transfer of value in a network and extracting a portion of it. Cryptocurrency is the first modern technology natively built for this purpose. For startups, failing to architect products and businesses to leverage these principles means missing a major opportunity. Blockchains are inherently network businesses. Each transaction settles on a shared ledger, and every new participant strengthens the underlying network for all. Well-designed network tokens amplify this by aligning users, developers, and validators around growing the network, with value flowing back to contributors in a transparent feedback loop. This model is not new; companies from railroads and Standard Oil to Google, Meta, and AWS have thrived by inserting themselves into critical flows of value (goods, attention, compute). Financial markets make it even clearer: firms like Visa and major market makers generate immense revenue not by predicting markets but by being in the path of transactions. The combination of fund flow and network effects creates one of the most durable business structures. The high margins in traditional finance (payments, custody, lending, FX) represent prime targets. Crypto founders have the opportunity to build the next version—programmable, instant, global, and natively in the flow of funds. The frontier extends beyond finance to areas like computing/GPUs, AI training data, energy, robotics, and space—markets without entrenched intermediaries, ripe for building new, efficient value rails on programmable infrastructure. Founders should ask: Are you in the flow of funds today? Does your revenue scale 10x with the value of activity on your platform? Where in your target market are profit margins highest relative to value created? The opportunity is clear: embed your startup into the new flows of value and let the network effects accumulate.

marsbit50 min fa

a16z Crypto Partner: Cash Flow is the Moat

marsbit50 min fa

Trading

Spot
Futures
活动图片