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Category: finance – Page 2

Social Risk Prevalence in AYAs With and Without a History of Cancer

About one-third of adolescents and young adults, with or without Cancer, reported at least one social risk such as financial hardship or food insecurity, highlighting the need for routine screening.

This cross-sectional study used data from KPNW, an integrated health care system serving more than 620 000 members in northwest Oregon and southwest Washington, representing approximately 16% of the region’s population. The KPNW Institutional Review Board deemed the study exempt from review and informed consent under category 4 of the Common Rule, meaning that this research was determined to be low risk as it involves the use of secondary data. The study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline for cross-sectional studies.

Members of KPNW are demographically similar to the surrounding community, with a broad age distribution (approximately 23% aged 18–35 years and 40% aged 36–64 years), a nearly equal sex distribution (52% female), and a racial and ethnic composition comparable to that of the regional population. Approximately 18% of members live below 200% of the federal poverty level, and approximately 80% receive coverage through employer-sponsored plans, contributing to high annual retention rates (approximately 88%). In early 2020, KPNW implemented a social risk screening tool via the EPIC-based (Epic Systems Corp) HealthConnect system. Full details of the screening process have been previously described.22,23

We included KPNW members aged 15 to 40 years who received care at KPNW; completed the social determinants of health screener between January 1, 2022, and December 31, 2024 (the first screening was defined as the index date); and had at least 6 months of follow-up data (eFigure 1 in Supplement 1).

Quantum reservoir computing peaks at the edge of many-body chaos, study suggests

Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as weather patterns, recorded speech or stock market trends. Classical reservoir computing techniques are known to perform best at the “edge of chaos,” or in simpler terms, at a “sweet spot” in which the behavior of systems is neither entirely predictable (i.e., order) nor completely unpredictable (i.e., chaos).

In recent years, some physicists and quantum engineers have been exploring the possibility of realizing a quantum equivalent of classical reservoir computing, known as quantum reservoir computing (QRC). These approaches enable the processing of temporal data and the prediction of events unfolding over time, leveraging high-dimensional quantum states.

Researchers at the University of Tokyo carried out a study investigating how QRC would behave when applied to complex quantum many-body systems, which consist of several interacting quantum particles. Their paper, published in Physical Review Letters, introduces a physics-based framework that could inform the future development of QRC systems.

FBI: Over $20 million stolen in surge of ATM malware attacks in 2025

The FBI warned that Americans lost more than $20 million last year amid a massive surge in ATM “jackpotting” attacks, in which criminals use malware to force cash machines to dispense money.

According to a Thursday FBI flash alert, more than 700 ATM jackpotting incidents were reported last year alone in a significant spike compared to the roughly 1,900 total incidents reported across the United States since 2020.

These attacks can be carried out in minutes and target the software layer controlling an ATM’s physical hardware, using malicious tools such as the Ploutus malware. Most often, they go undetected by financial institutions and ATM operators until the cash is already gone.

Hackers target Microsoft Entra accounts in device code vishing attacks

Threat actors are targeting technology, manufacturing, and financial organizations in campaigns that combine device code phishing and voice phishing (vishing) to abuse the OAuth 2.0 Device Authorization flow and compromise Microsoft Entra accounts.

Unlike previous attacks that utilized malicious OAuth applications to compromise accounts, these campaigns instead leverage legitimate Microsoft OAuth client IDs and the device authorization flow to trick victims into authenticating.

This provides attackers with valid authentication tokens that can be used to access the victim’s account without relying on regular phishing sites that steal passwords or intercept multi-factor authentication codes.

Police arrests 651 suspects in African cybercrime crackdown

African law enforcement agencies arrested 651 suspects and recovered over $4.3 million in a joint operation targeting investment fraud, mobile money scams, and fake loan applications.

As INTERPOL revealed on Wednesday, Operation Red Card 2.0 identified 1,247 victims between December 8 and January 30 while targeting cybercrime operations linked to over $45 million in financial losses.

Authorities across 16 countries also seized 2,341 devices and took down 1,442 malicious websites, domains, and servers during this joint action coordinated by the African Joint Operation against Cybercrime (AFJOC).

The Deflationary Singularity: Why Everything is Going to ZERO w/ Salim Ismail

The rapid advancement of technologies, particularly AI, is driving the world towards an economic singularity where the marginal cost of essentials approaches zero, leading to a deflationary future and a potential transformation of traditional systems and societies ##

## Questions to inspire discussion.

Education Transformation.

🎓 Q: How will AI reduce education time while improving effectiveness?

A: AI will customize education to each child’s learning style, reducing daily learning time to 1 hour per day while delivering 5 times more effective learning compared to traditional methods, with costs falling to zero within 3–5 years and breaking the university industry that currently creates massive student debt.

Healthcare Revolution.

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Dario Amodei — “We are near the end of the exponential”

Predicts significant advancements in AI capabilities within the next decade, which will have a profound impact on society, economy, and individuals, and emphasizes the need for careful governance, equitable distribution of benefits, and responsible development to mitigate risks and maximize benefits ## ## Questions to inspire discussion.

AI Scaling and Progress.

Q: What are the key factors driving AI progress according to the scaling hypothesis?

A: Compute, data quantity and quality, training duration, and objective functions that can scale massively drive AI progress, per Dario Amodei’s “Big Blob of Compute Hypothesis” from 2017.

Q: Why do AI models trained on broad data distributions perform better?

A: Models like GPT-2 generalize better when trained on wide variety of internet text rather than narrow datasets like fanfiction, leading to superior performance on diverse tasks.

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