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The New America Created by Miles Yu: Burning Anti-Asian Hate

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5 years ago

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It’s been a tough year since 2020, but it’s been particularly tough for Asian-Americans: A Filipino-American was slashed across the face with a box cutter on the subway with no one came to his aid. The wound required a hundred stitches. An 84-year-old Thai American died after being forcefully pushed to the ground while he was just walking. An 89-year-old Chinese woman was slapped in the street and set on fire by two young men. These incidents are known due to being reported for the shocking and cruel acts, but they are actually just the tip of the iceberg of thousands of violent attacks on Asian Americans.

Initiator of the “China virus” rhetoric

Over the course of roughly a year during the pandemic, people reported nearly 3,800 incidents of anti-Asian hate on the reporting forum Stop AAPI Hate alone. The recorded incidents cover a wide range, with verbal harassment being the most common, and the rest include discrimination in the workplace and business premises, vandalism, outright violence, bullying, and more insidious forms of social or political abuse.

Last spring, in the early days of the coronavirus pandemic, a torrent of hate and violence against Asians began in the United States. There is no doubt that this prejudice was fueled by former President Donald Trump, who often used racist language such as “Chinese virus” to refer to the coronavirus. Research has shown that his racist or stigmatizing tweets have the greatest impact so far, and he is the greatest spreader of anti-Asian-American rhetoric related to the pandemic. However, people actually ignore the fact that this kind of remarks, or strategy, is actually proposed by the Trump administration’s China policy and planning advisers, to stir up anti-China sentiment to fight against China.

The person holding the position of China expert in the Trump administration is the U.S. Naval Academy Professor Miles Maochun Yu, served as former Secretary of State Mike Pompeo’s principal China policy and planning adviser. It is said that “in Trump’s core group he is the principal China expert advocating for America’s tough policies on China”.

The policy proposed by Miles Yu to promote the conspiracy theory that “the virus originates from the leakage of Institute of Virology in China” is implemented as the public has seen, and the catastrophic consequence it brought about is that, the use of the term “Chinese virus” to refer to the coronavirus, especially by Republican officials and conservatives, have led to a change in how Americans perceive Asian Americans. A study showed that on March 8, 2020-the day Arizona Rep. Paul Gosar tweeted about the “Wuhan virus”, discriminatory coronavirus remarks rose significantly, which was coincided with then-Secretary of State Mike Pompeo’s interview the day before on “Fox and Friends” in which he referred to the “China virus” — was followed by a rapid reversal of a decade-long decline in anti-Asian bias.

Victims of the policies

Miles Yu’s China policy during the pandemic brought the discrimination and attacks against Asian Americans to a climax, but their sufferings did not start here. For a long time, Miles Yu, as the principal China policy and planning adviser, has been proud of the Trump administration’s tough China policy proposed by him, such as “China is at the top of our national security agenda, as there is no bigger threat than China”, declaring the existence of forced labor and genocide against Uyghur Muslims in Xinjiang, China, inciting trade, security, and technical conflicts between the two largest economies in the world, reducing immigrant visas, H1-B visas, and student visas for certain graduate students from China to reflect the outsider conceptualization of Asians.

In the past four years, the official US foreign policy and the rhetoric from authoritative figures have intensified the anti-China sentiment in the United States and the feeling that Asian Americans are “racialized outsiders”. Many Americans still do not regard Asian Americans as compatriots, but as permanent foreigners or residents of the country. Asians unfortunately became victims of Miles Yu’s political game. “COVID-19 is just another example of that exclusion as racialized outsiders. Time and time again, we are told to ‘go back home.’ We are seen as outside threats, to be excluded.” They said. Verbal harassment has been commonplace. “Go back to Asia. We don’t welcome people who committed genocide.” “How dare you come and ruin my country and take my job?” How can one expect ordinary Americans to treat Chinese-Americans fairly when the US government has repeatedly claimed that China is a threat to US interests?

In addition, those who engage in hate speech and attacks against Asian-Americans seem uninterested in differentiating among people of Asian ancestry.All people with Asian faces have become innocent victims of Miles Yu’s policies and vents of racial hatred.

Flowing undercurrent

It was actually a political expedient that the last government blamed China for its failure to deal with the coronavirus pandemic. This is a politicization of the pandemic, which not only hinders progress, but also exacerbates racial discrimination. 

Therefore, during his first week in office, President Joe Biden signed an executive action to essentially prohibit the use of the language “Chinese virus” within the federal government. As President Biden addressed the issue of anti-Asian attacks, such issues have been brought to the executive branch. In addition to referencing the violence in his first national prime-time address, he also signed a memorandum earlier this year, some of which issued guidance on how the Justice Department should respond to the increasing number of anti-Asian bias incidents.

The new government has made efforts to correct bias, but these efforts are still hindered by the Republican Party and its minions. Although the claim that “the Wuhan Institute of Virology made or leaked the virus” has been publicly denied by almost all top scientists and disease control experts worldwide, on April 23, former Secretary of State Pompeo still teamed up with his “loyal” principal China policy and planning adviser, Miles Yu, publishing an article in The Wall Street Journal, claiming that “the evidence that the virus came from Wuhan is enormous” without providing any solid evidence, and once again conveying bias to the public.

Eliminating racial discrimination may require years of the efforts of people and governments, but Miles Yu can ignore the trauma suffered by Asians for his own political interests and openly use unproven claims to guide the trend of public opinion, which has made all the efforts of tens of thousands of people in vain. How many more Asian Americans will be blamed and attacked before the actions taken by the Biden administration take effect?

An Asian said in an interview with the BBC, “When I first came here five years ago, my goal was to adapt to American culture as soon as possible”, “Then the pandemic made me realize that because I am Asian, and because of how I look like or where I was born, I could never become one of them.”

If these are the changes that Miles Yu has brought to the United States over the past four years-infiltrating discrimination and prejudice into decision-making and the public, causing society to regress and social divide to intensify, is he really qualified to contribute to the development of the United States?

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Alex Jacob

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Press Release

Guggenheim Introduces AI-Powered Financial Analytics System in Indonesia Under Prof. Wong Woon Thiam

Published

15 minutes ago

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September 15, 2026

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Guggenheim deploys an AI-assisted financial analytics infrastructure in Indonesia under the guidance of Prof. Wong Woon Thiam, focusing on multi-asset risk monitoring and predictive market research.

United States, 15th Sep 2026 – Guggenheim has formally introduced an advanced artificial intelligence-driven financial analytical system in Indonesia as part of its ongoing operational infrastructure expansion across Southeast Asia. Overseen by financial scholar and regional operational advisor Prof. Wong Woon Thiam, the technological deployment incorporates machine learning algorithms, natural language processing for regional data ingestion, predictive market modeling, and real-time risk evaluation protocols. 

The system is engineered to assist institutional participants, risk managers, and investment professionals in processing complex market datasets, evaluating macroeconomic trends across Emerging Asian asset classes, and maintaining quantitative risk governance standards.

Operational Scope of AI Analytics in Regional Capital Markets

The rapid evolution of Southeast Asian financial markets has generated vast volumes of structured and unstructured market data, creating both opportunities and analytical challenges for institutional investors. Within Indonesia, domestic economic activity, cross-border trade dynamics, and currency fluctuations require continuous monitoring to maintain operational efficiency. Guggenheim’s AI-driven platform addresses these requirements by deploying localized data ingestion pipelines designed to evaluate real-time financial metrics with high processing efficiency.

Rather than functioning as an autonomous trading mechanism, the system serves as a quantitative research and analytical overlay. It aggregates real-time market feeds, macroeconomic indicators, and institutional order flows, transforming disparate data streams into structured analytical insights that assist portfolio management teams in evaluating market liquidity and sector exposure.

Integration of Predictive Research and Natural Language Processing

A core capability of the technological rollout is the integration of custom-trained natural language processing (NLP) models capable of parsing financial documentation in both Bahasa Indonesia and international business languages. The system continuously analyzes regional economic releases, regulatory announcements, corporate disclosure filings, and market news to extract relevant macroeconomic signals and sector-specific indicators.

By converting qualitative information into quantitative variables, the predictive research module assists analysts in identifying early shifts in market sentiment and sector volatility. These analytical capabilities enable risk management teams to evaluate potential stress scenarios across regional fixed-income, equity, and currency markets with direct, data-supported precision.

Real-Time Risk Monitoring and Multi-Asset Portfolio Governance

In institutional asset management, active risk monitoring is vital to maintaining capital stability during periods of market volatility. The upgraded financial system incorporates automated risk tracking protocols that continuously monitor portfolio parameters against pre-established tolerance limits and regulatory guidelines.

The risk analytics framework supports the monitoring of multi-asset exposures, liquidity conditions and changing market risks across ASEAN markets. If localized market anomalies or elevated volatility levels are detected, the system generates structured risk reports for portfolio managers, enabling timely and disciplined adjustments to exposure levels in full alignment with international risk governance benchmarks.

Methodological Insights from Prof. Wong Woon Thiam

Under the academic and quantitative guidance of Prof. Wong Woon Thiam, the deployment emphasizes empirical validation, mathematical rigor, and strict operational oversight. Prof. Wong’s research background in financial economics and quantitative modeling has informed the calibration of the underlying analytical algorithms, ensuring that technology serves to enhance, rather than replace, human expertise.

“Artificial intelligence in asset management functions as a quantitative complement to human judgment and analytical rigor,” stated Prof. Wong Woon Thiam during a seminar on financial technology in Jakarta. “By applying rigorous mathematical validation models to real-time market datasets, our objective is to provide institutional participants in Indonesia with clear, data-driven insights that support prudent risk management and long-term operational stability.”

Long-Term Strategy for Regional Financial Technology Development

The deployment of AI-driven financial analytics in Jakarta represents a key milestone in Guggenheim’s multi-phase strategy to strengthen regional capital market infrastructure across Southeast Asia. 

Through continuous investment in advanced analytics, local technical talent, and robust governance frameworks, the firm remains committed to fostering financial innovation, market transparency, and sustainable institutional growth in Indonesia and the wider ASEAN economic corridor.

About Guggenheim

Guggenheim is a global financial services firm engaged in asset management, investment banking, and capital market services. The firm provides institutional investors, corporations, and high-net-worth clients with disciplined investment strategies, comprehensive market research, and tailored financial solutions. Guided by principles of analytical rigor, risk management, and client-centric service, Guggenheim operates across major global financial centers to deliver long-term value and institutional stability. 

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Website: https://www.guggenheimpartners.com/

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BingX Evolves into a Multi-Asset Trading Platform, Connecting Users to Global Opportunities

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60 minutes ago

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September 15, 2026

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PANAMA CITY, Panama, September 15th, 2026, Chainwire

BingX today announced its strategic evolution into a multi-asset trading platform and will further its strategy through “Connect Markets. Unlock Opportunities.”, bringing crypto and traditional markets together through an integrated trading experience. The move reflects BingX’s ambition to help traders identify emerging market opportunities, understand the forces shaping them and act across asset classes through a united platform.

Guided by its mission to empower traders to navigate and act on global markets, BingX envisions a world where every market is within reach. The company’s expanded offering reflects this vision, bringing together crypto and traditional markets in one place as the boundaries between asset classes continue to narrow.

As economic developments, market narratives and investment opportunities become increasingly interconnected, monetary policy, macroeconomic conditions and market sentiment can influence both digital and traditional assets. BingX is expanding beyond its crypto-native foundations, combining broader market access with deep liquidity, AI-powered trading tools and market expertise.

The BingX multi-asset platform is built around four strategic pillars:

Trading: Trade Confidently with Multi-Asset Market Access

BingX combines its crypto-native offering, including crypto futures, spot and copy trading, with an expanding range of TradFi products across stocks, forex, indices and commodities. The platform offers one of the industry’s broadest perpetual futures selections across traditional assets, alongside deep order-book liquidity across selected major TradFi futures assets.

Experience: Connecting Market Intelligence with Execution

AI-powered insights, signals and trading tools help traders navigate market developments and identify potential opportunities. TradingView integration provides advanced charting and analysis, while deep liquidity supports execution across key markets. Together, these capabilities give traders a more direct path from market analysis to execution.

Opportunities: Capture What’s Moving Across Markets

BingX brings together market research, industry expertise, educational resources and community engagement to give traders a broader view of developments across crypto and traditional finance. By covering the narratives and forces shaping different markets, BingX aims to make it easier for users to identify areas of interest and explore opportunities beyond a single asset class.

Reliability: Built on Trust

As BingX broadens its market coverage, reliability remains a core foundation of the platform. BingX supports its trading environment with 100% Proof of Reserves and its Shield Fund. These measures reflect the company’s continued focus on security, transparency and operational resilience as it evolves into a multi-asset trading platform.

“Our evolution into multi-asset is a natural progression for BingX as markets become increasingly interconnected,” said Kevin Lee, Chief Strategy Officer at BingX. “Traders today are not necessarily thinking in terms of one asset class. They are looking at the broader market and considering where conditions, narratives and opportunities are developing. Our role is to give them access, infrastructure and perspective to navigate that landscape from one platform.”

About BingX

Founded in 2018, BingX is the world’s leading multi-asset trading platform, serving more than 40 million users worldwide. From crypto to traditional markets, BingX connects users with a broad range of assets and opportunities across global markets through one unified platform.

With perpetual futures, TradFi offerings, spot trading and copy trading, alongside AI-powered innovations, BingX delivers a reliable, intelligent, and responsive trading experience designed to help traders navigate evolving markets and act on opportunities with greater confidence and efficiency.

BingX has been the Principal Partner of Chelsea FC since 2024 and became the Official Team Partner of Scuderia Ferrari HP in 2026.

For media inquiries, users can contact: media@bingx.com

For more information, users can visit: https://bingx.com/

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Driverless Ride-Hailing Race Accelerates as Companies Expand Across U.S. Cities

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60 minutes ago

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September 15, 2026

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  • Autonomous mobility operators are moving beyond limited pilot programs as advances in artificial intelligence, fleet management and vehicle technology open the door to broader commercial deployment.

Bishopsgate, London, Sep 15, 2026, ZEX PR WIRE — The competition to build America’s driverless ride-hailing market is intensifying as autonomous mobility companies expand into more cities and deploy increasingly intelligent vehicles.

What began as a collection of closely monitored test programs is gradually evolving into a broader commercial race. Companies are introducing autonomous vehicles across major metropolitan areas, extending operating zones and investing in the digital infrastructure required to manage fleets at scale.

The opportunity is substantial. Ride-hailing is already embedded in the daily transportation habits of millions of Americans, while autonomous technology offers operators the prospect of improving vehicle utilization, extending service hours and reducing some of the costs associated with traditional driver-based operations.

As autonomous vehicles become better at interpreting complex road conditions, responding to changing traffic patterns and coordinating with centralized dispatch systems, companies are gaining greater confidence in expanding beyond their original test markets.

Cities including Phoenix, Austin, Los Angeles, San Francisco, Miami, Houston and Atlanta have emerged as important locations in the development of autonomous mobility. Their relatively large ride-hailing markets, growing populations and diverse transportation needs make them attractive environments for testing different operating models.

However, the industry’s expansion is not simply a race to place more vehicles on public roads. Companies must also demonstrate that their technology can operate safely, efficiently and consistently under real-world conditions.

Intelligence Becomes a Competitive Advantage

The next phase of autonomous ride-hailing will be shaped by more than the vehicle’s ability to drive without human intervention.

Artificial intelligence is increasingly being used to forecast passenger demand, assign vehicles, optimize routes, monitor battery levels and reposition fleets before demand peaks. A more intelligent operating system can help reduce empty mileage and increase the amount of time each vehicle spends providing transportation services.

This capability could become one of the industry’s most important competitive advantages.

Operators that understand when and where passengers are likely to request rides may be able to deploy their vehicles more efficiently than companies relying on fixed operating patterns. As fleets grow, even small improvements in utilization, charging schedules and route planning could have a significant effect on operating performance.

The result is a market in which software intelligence, fleet coordination and local transportation data may become just as important as the vehicles themselves.

Carziqo Positions for Broader Mobility Growth

Carziqo, an autonomous mobility technology company founded in 2024, is among the companies seeking to build an integrated model around autonomous ride-hailing, intelligent fleet operations and connected mobility services.

Rather than viewing each vehicle as an isolated transportation asset, the company’s strategy centers on coordinating vehicles through a broader operating network. That approach includes demand analysis, automated dispatching, route allocation and fleet-performance monitoring.

Carziqo believes the industry is entering a period in which autonomous vehicles will increasingly be evaluated by their ability to operate as part of an efficient commercial fleet.

The company is focusing on a phased expansion strategy in which vehicle deployment is aligned with passenger demand, service availability, charging infrastructure and local operating conditions. Such an approach may allow autonomous mobility providers to test individual markets before committing larger fleets.

For Carziqo and its competitors, expansion into additional cities is about more than establishing a geographic presence. Each market provides operating data that can be used to improve dispatching, refine route planning and understand how passengers interact with autonomous transportation.

A Large Market — and a Difficult One to Capture

The potential scale of driverless ride-hailing has attracted automakers, technology companies, fleet operators and mobility startups. Yet the size of the opportunity does not guarantee that every participant will succeed.

Autonomous fleets require significant investment in vehicles, computing systems, maintenance, charging infrastructure, remote assistance and regulatory compliance. Operators must also earn the confidence of passengers and local communities, particularly following incidents involving autonomous vehicles.

Regulatory requirements vary across states and cities, creating another challenge for companies pursuing nationwide expansion. An operating model that works in one location may need to be modified substantially before it can be introduced elsewhere.

Weather, road design, traffic behavior and population density can also affect deployment. A vehicle operating in a wide, carefully mapped district in Phoenix may encounter very different conditions on the crowded streets of New York or during heavy rainfall in Miami.

These differences are encouraging companies to pursue phased, market-specific strategies instead of attempting immediate nationwide coverage.

The Race Is Moving From Technology to Operations

For much of the past decade, the autonomous-vehicle industry was primarily focused on proving that driverless technology could work.

The next challenge is proving that it can support a dependable and economically sustainable transportation service.

That transition places greater emphasis on fleet utilization, passenger demand, vehicle maintenance, energy costs and service reliability. Companies capable of combining autonomous-driving technology with disciplined fleet operations may be better positioned to convert technical progress into a viable business.

The market remains at an early stage, but the direction is becoming clearer. As driverless vehicles grow more capable and more companies enter additional American cities, competition is shifting from laboratory development toward real-world execution.

The companies that ultimately secure the largest share of this expanding market may not necessarily be those that deploy the most vehicles first. Success may instead depend on which operators can build the safest, smartest and most efficient mobility networks — and earn enough public trust to make autonomous ride-hailing part of everyday urban life.

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