# Сопутствующие статьи по теме Manipulation

Polymarket Is Not an All-Powerful "Truth Machine"

Polymarket, a crypto-based betting platform, is often hailed as a "truth machine" for its ability to aggregate crowd wisdom through financial stakes. While it has demonstrated remarkable accuracy in predicting major events like the 2024 U.S. presidential election—outperforming traditional polls—its overall reliability is highly inconsistent. Analysis using the Brier score reveals that its predictive power excels in high-liquidity domains like politics and economics but falls to near-random or worse in categories like sports, culture, and tech. The platform’s growing influence is concerning as its odds are increasingly cited by major media outlets like The Wall Street Journal and CNN, lending them an air of authority. This visibility creates a feedback loop where the odds themselves can influence the outcomes they are meant to predict—a phenomenon known as endogeneity. Moreover, the market is vulnerable to manipulation by well-resourced "whales" with access to exclusive information, such as private polls or even military intelligence, as seen in cases involving bets on geopolitical events. While useful for short-term, high-stakes events, Polymarket’s predictions are often unreliable for the vast majority of its contracts due to low liquidity and wide bid-ask spreads. The danger lies not in its occasional failures, but in the unchecked trust it receives—risking a future where a handful of traders can shape perceived reality through a platform masquerading as an oracle of truth.

marsbitВчера 11:40

Tens of Millions of Errors Per Hour: Investigation Reveals the 'Accuracy Illusion' of Google AI Search

A New York Times investigation, in collaboration with AI startup Oumi, reveals significant accuracy and reliability issues with Google's AI Overviews search feature. Testing over 4,300 queries showed the accuracy rate improved from 85% (Gemini 2) to 91% (Gemini 3). However, given Google's scale of ~5 trillion annual searches, this 9% error rate translates to over 57 million incorrect answers generated hourly. A more critical issue is the prevalence of unsubstantiated citations. For correct answers, the rate of "unfounded citations"—where provided source links do not support the AI's claims—worsened, rising from 37% with Gemini 2 to 56% with Gemini 3. This makes it difficult for users to verify the information. The AI also heavily relies on low-quality sources, with Facebook and Reddit being its second and fourth most cited domains. Furthermore, the system is highly susceptible to manipulation. A BBC journalist successfully "poisoned" it by publishing a fake article; Google's AI began presenting the false information as fact within 24 hours. Google disputed the study's methodology, criticizing the use of the SimpleQA benchmark and an AI model (Oumi's HallOumi) to evaluate its own AI. The company maintains that its internal safeguards and ranking systems improve accuracy beyond the base model's performance.

marsbit04/10 12:30

SEC opens proceedings on proposal to list options for Grayscale Crypto ETF

The U.S. Securities and Exchange Commission (SEC) has initiated formal proceedings to review a proposal to list and trade options on the Grayscale CoinDesk Crypto 5 ETF (GDLC). This does not constitute a decision but represents the next phase in the evaluation process. The proposal, submitted by NYSE American, aims to introduce physically settled options on the ETF, which tracks a basket of cryptocurrencies including Bitcoin, Ethereum, XRP, Solana, and Cardano. The SEC is seeking public comments and further analysis to assess whether the proposal meets regulatory standards, particularly concerning fraud prevention and investor protection. The move highlights the growing sophistication of crypto-linked derivatives while underscoring the SEC's continued caution regarding market manipulation risks in the digital asset space. A final decision will follow the review period, with no specified timeline provided.

ambcrypto04/09 23:02

SIREN’s 54% crash wipes out millions – What’s next for the memecoin?

A memecoin called Siren (SIREN) experienced a dramatic crash, plummeting over 54% in 24 hours and erasing millions in market value. Its price fell from a key support level of $0.9952, a level it had held since March, and was trading around $0.875 at press time. This decline caused its market cap to drop significantly from $1.835 billion to $637.42 million, while trading volume also decreased. The price drop is attributed to a combination of bearish broader market sentiment due to geopolitical tensions and specific issues with SIREN itself. A major concern is that a single entity holds approximately 88% of the circulating supply, creating a high risk of price manipulation. Technical analysis indicates a strong bearish trend, with the next major support level identified at $0.78. Derivatives data further confirms the negative sentiment, showing that more long positions were liquidated than short ones, and traders are continuing to build more short-leveraged positions, suggesting bears are in control.

ambcrypto03/27 23:01

Binance targets market makers ‘who breach our rules’ – But critics push back

ambcrypto03/26 21:03

War Won or Lost? Trump: Profited

Former President Trump claimed on Truth Social that productive U.S.-Iran talks had led to a 5-day delay in military strikes, causing immediate market reactions: gold rebounded over $200, oil dropped 14%, and S&P 500 futures rose nearly 4%. However, Iranian media denied any talks occurred, calling it a "psychological operation." Just before Trump’s post, large trades were detected—a $1.5 billion S&P 500 buy order and a $580 million crude oil sell-off—suggesting possible insider trading or sophisticated market anticipation of Trump’s pattern. This isn’t the first time Trump’s statements have moved markets; similar tactics were used during tariff policy shifts in 2025, where rumors and official posts created multiple market swings. Trump’s market influence may serve dual purposes: creating trading opportunities and using stock market gains as a proxy for economic success to bolster political support. Despite accusations, lack of direct evidence shields him from legal consequences. His actions highlight the intersection of financial markets, media, and political strategy.

Odaily星球日报03/24 11:21

SIREN, Another Leveraged Scam

The article "SIREN, Another Leveraged Scam" discusses the cryptocurrency $SIREN, which experienced a significant but suspicious price surge, briefly ranking among the top 30 cryptocurrencies by market cap. The token, initially launched during a meme-driven period, saw its liquidation volume reach $23.25 million, placing it fourth globally. The piece identifies $SIREN as a "leveraged scam," where manipulators control the majority of the supply (over 88.5% on-chain) and exploit low liquidity on exchanges like Gate.io to create extreme price volatility with minimal capital. For instance, a $100,000 trade could cause a 40% price swing. The scam involves pumping the price, luring short sellers, and then triggering liquidations through coordinated pumps and dumps. Similar patterns were observed in other tokens like $PIPPIN, $RIVER, and $BEAT. Despite denials from entities like DWF Labs, evidence suggests controlled manipulation. The article concludes that such schemes are detrimental to the market, favoring only a few informed traders while exposing most retail participants to unfair risks.

marsbit03/24 07:35

After 315, It's Time to Remove the Filter of AI Recommendations

After the 315 Gala exposed AI recommendation manipulation through Generative Engine Optimization (GEO), this article examines how GEO services allow brands to artificially boost their visibility in AI-generated responses. Similar to traditional SEO, GEO involves flooding the internet with promotional content that AI models scrape and present as authentic recommendations. The piece highlights a case where a fictional product with absurd features was promoted via a low-cost GEO tool and quickly appeared atop AI recommendations. It draws parallels with historical search engine manipulation, such as Baidu’s paid ranking scandals involving unregulated medical ads, and notes that GEO has already attracted significant capital and speculative stock market interest in China. The article also contrasts illicit “AI poisoning” with sanctioned commercialization efforts, citing OpenAI’s introduction of ads in ChatGPT. It concludes by warning users to maintain critical thinking and not blindly trust AI-generated recommendations, as the line between organic and paid content continues to blur.

比推03/17 04:11

315 Exposes AI Poisoning, a Business from Putian to Silicon Valley

"315 Exposed: AI 'Poisoning' - A Business from Putian to Silicon Valley" During China's 315 consumer rights expose, a practice called Generative Engine Optimization (GEO) was revealed. GEO involves manipulating AI-generated responses by flooding the internet with promotional content, which AI models then scrape and present as factual recommendations. A tool called "Liqing GEO," sold on Taobao, demonstrated this by fabricating a fake smartwatch with absurd features ("quantum entanglement sensing," "black hole-level battery") and having AI recommend it within hours. This mirrors the early days of Search Engine Optimization (SEO), where paid rankings, notably by Putian-based hospitals on Baidu, dominated search results. Despite regulations, the core model remains: whoever controls the information gateway sells rankings. Now, with AI as the new gateway, SEO has simply become GEO. The business is significant. BlueFocus, a major marketing firm, invested millions in a GEO company, PureblueAI, serving clients like Ant Group and Volvo. While Pureblue claims to optimize real brand information, the technical method—flooding the web with content for AI to scrape—is identical to the "poisoning" tactic. This ambiguity fueled a stock market frenzy in late 2025, with GEO-related stocks like BlueFocus surging over 130% before executives cashed out. Simultaneously, Silicon Valley is formalizing this model. OpenAI announced ads in ChatGPT for free users, with sponsored links appearing below answers. While OpenAI claims ads don't influence content, the line between "poisoning" and "commercialization" blurs. The same practice—buying influence in AI outputs—shifts from a几百元 (hundreds of yuan) black-market tool to a potential $17 billion revenue stream for OpenAI. The trust红利 (trust dividend) users place in AI is now the new frontier for manipulation, echoing the SEO era's evolution but at an accelerated pace. The article concludes: answers may be free, but critical thinking shouldn't be outsourced.

比推03/16 11:27