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Targeted Capital One Offers: Spend $20, Earn 1,000 Bonus Miles


Targeted Capital One Offers

Some Capital One cardholders are seeing targeted Capital One Offers that award 1,000 bonus miles after spending $20 at select retailers.

Some of the reported merchants include:

  • eBay
  • Home Depot
  • Dollar General
  • Sam’s Club
  • Cumberland Farms
  • and more

These offers are for Capital One account holders only and may vary by user. Like many Capital One Offers, you’ll generally want to activate the deal before making your purchase. Also make sure to carefully read the details of your offers before using them.

Guru’s Wrap-up

1,000 Capital One miles for only $20 in spend is actually pretty solid deal, especially if you can trigger it with something you already planned to buy anyway.

HT: FM

what is Bitcoin worth as a medium of exchange? – Bank Underground


John Lewis

The recent near halving of Bitcoin’s price has reignited debate about its true value. As a store of value, net present value asset pricing models suggest it should be worth zero because it pays no dividend. Yet its price remains far above zero, and its total value is still large despite recent turbulence. In this post I explore the question: what’s Bitcoin’s value as a means of exchange? I show that using a simple quantity theory of money framework helps explain its extreme volatility, the powerful influence of sentiment, how prices can surge even when transaction usage is low, and – crucially – why innovations by competitors and limited retail payment adoption pose significant downside price risks.

Economics textbooks present four functions for money: medium of exchangestore of valueunit of account and a standard of deferred payment. In this post I focus on solely on the first. The original white paper, presents Bitcoin exclusively in ‘medium of exchange’ terms, as a ‘peer-to-peer version of electronic cash’ allowing payments ‘without going through a financial institution’. The words ‘asset’ or ‘investment’ are entirely absent.

Just like fiat, Bitcoin pays no dividend and has no intrinsic value (you can’t eat it, smoke it or make jewellery out of it). Fiat nevertheless has value because people are willing to accept it as payment for real stuff (ie labour, goods, services). If Bitcoin did become a medium of exchange could it, by the same logic, have value too?

Elsewhere, I and many others have argued that keeping accounts and/or managing payments in cryptocurrency is not viable because of the day-to-day volatility in its price and lack of singularity. But setting those issues and interactions aside here, I run a ‘what if you’re wrong’ type thought experiment.

The quantity theory of Bitcoin

I approach this through the lens of the quantity theory of money which can represent vastly different views about the value of Bitcoin within a common framework.

Let’s begin with the textbook equation:

MV=PT

This says that the supply of money, M, times the velocity, V (how often each unit changes hands) is equal to the price level times the total transaction value T (sometimes replaced by real GDP, Y). P here is expressed as price of goods in currency, whereas we normally think about Bitcoin prices the other way round (ie how much stuff do you need to buy one Bitcoin). It’s easier to work with if we rearrange it a little:

US$ price of Bitcoin = T/MV

The price of Bitcoin equals the real value of transactions it’s used for, all divided by supply (M) times velocity (V). Quantity is fixed at 21 million Bitcoin, so its price is determined by the value of transactions it services and how fast it whizzes round. The bullish case is that transaction use will grow, so T gets bigger; and so, for a given velocity, the price has to rise.

How much will Bitcoin be worth?

It all depends on your long-run view on T and V. Let’s start with T – currently 2025 payments on the lightning network, are estimated to be $14 billion and the latest estimate of Bitcoin use for transactions under $10,000 (a plausible retail cutoff) is $146 billion annually. What about some other benchmarks? Bitcoin is currently used for some illicit payments, so another thought experiment is to assume Bitcoin takes on all of them: then adding drugs ($800 billion), money laundering ($800 billion) and tax evasion ($171 billion) gets you about $2 trillion. If it becomes visa-sized payment medium then T is $17 trillion. If it takes over all digital transactions it’s $26 trillion. Or if, as Bitcoin maximalists argue, it becomes the world’s money, then T is world GDP: $155 trillion. 

What about V? At the higher end, if someone loads up a payment card each and spends the balance down to zero each month, velocity is 24. For illicit transactions, studies suggest a velocity of about five. For broad money pre-GFC this was around two. Or if you are looking at GDP, then velocity can be as low as one. The table shows what these imply for the price:

In short, you can get wildly different valuations depending on what you plug in.

No coiners think it’s largely useless for real world payments and so T is zero, rendering Bitcoin worthless, regardless of velocity. The upper grey panel shows that that current T implies prices a fraction the current $70,000 or so.

The lower panels show the hypothetical scenarios. If use is confined to illicit payments, and velocity is five the price settles at $19,000. Visa-style volumes with payment card type velocity, the price is around $34,000. If takes over all electronic payments and has an M2 like velocity you are at $619,000. Or if takes over as the world’s currency your valuation could surpass £5 million

What does this say about price dynamics?

To justify current valuations from such a model, the story must be of (beliefs about) the *future* rather than current scale of transactions, which are far too low to support current prices. And the vast range of potential prices creates highly volatile expectations.

Even small changes in the perceived probability of a future scenario can generate sizeable swings in prices.

The model also implies a paradox about hoarding: the less holders use their Bitcoin for real transactions, the lower velocity is, and the higher the price. There is ample evidence that a large chunk of Bitcoin is not actively circulating but rather lies idle in wallets. 

Hoarding can amplify price swings. If you think Bitcoin will surge in price, you won’t spend it today, instead you’ll hoard it. But if sentiment swings and you think Bitcoin will lose value, then you want to spend it, or sell it for dollars, further depressing the price.

For more optimistic valuations to be validated in this framework, Bitcoin must at some point start to move towards those bullish long run usage levels. How have things progressed on that front over the past few years?

The recent history of Bitcoin and payment systems

In the late 2010s sceptics argued the argued the triad of scalability, delays and cost would prevent Bitcoin’s widespread adoption as a payment medium. But bulls countered that takeoff was imminent, with comparisons to internet adoption, and some even suggesting Bitcoin might become the world’s primary means of payment sometime in the 2020s.

That disagreement was less about the technical limits of Bitcoin *at the time* and more about whether/how/how fast the system could develop to overcome them *in the future*. Central to the optimistic case was confidence in an emerging ‘second layer’ of infrastructure, led by the Lightning Network to enable Bitcoin to scale-up. Simply put, the idea was apparatus sitting below (and crucially off) the main protocol to handle most transactions. Freed from the technical limitations of the main blockchain, advocates argued this could deliver faster settlement, lower fees and – crucially – a much higher transactions volume.

Evidently, that higher volume hasn’t come to pass. Bitcoin has seen little to no growth as a payment medium since the late 2010s as adoption flatlined. And it is increasingly hoarded – around 60% of Bitcoin supply has not changed hands in the past year. Even in El Salvador, where it became legal tender, it was used for less than 5% of transactions and accepted by less than fifth of firms. And, like in 2018, Bitcoin conferences still aren’t taking crypto

Lightning was too expensive because opening and closing a bilateral ‘payment channel’ between two parties still requires an on-chain Bitcoin transaction which creates a high fixed cost, with rising Bitcoin transaction fees passed on to lightning fees. Not to mention problems with liquidity and network reliability. 

Many of the most far-reaching innovations in payments technology over the past two decades have actually come from Bitcoin’s competitors in digital payments, providing challenges. Gone are the days when cheques were a key payment tool, or bank transfers needed several days to clear. In most jurisdictions, fast payments now offers free and near instantaneous domestic payments between accounts. On cross border payments, Swift Go introduced near instant settlement of transfers for small-value high-volume transactions, and multiple rails have been developed for transfers outside of SWIFT. Since the late 2010s, stablecoins have grown dramatically, especially for cross-border payments, taking on many of the purported advantages of Bitcoin: ‘open all hours’, quick online payments, and even programmability, but without Bitcoin’s price gyrations.

What next?

Current valuations of Bitcoin as a payment medium are incompatible with current low usage levels. And the experience since the late 2010s is that progress towards adoption stalled. Perhaps the most high-valuation yet plausible scenario for the price of Bitcoin is that Bitcoin retreats to illicit payments where its anonymity and secrecy are particularly advantageous. But then authorities would surely take a more hostile approach. And with fewer legitimate, users it’s harder to disguise transactions, especially moving funds between Bitcoin and the regular system. Is that a viable longer-run business model? Without a compelling and sizeable use case I see little value in Bitcoin as a means of payment.


John Lewis works in the Bank’s Centre for Central Banking Studies Division.

If you want to get in touch, please email us at bankunderground@bankofengland.co.uk or leave a comment below.

Comments will only appear once approved by a moderator, and are only published where a full name is supplied. Bank Underground is a blog for Bank of England staff to share views that challenge – or support – prevailing policy orthodoxies. The views expressed here are those of the authors, and are not necessarily those of the Bank of England, or its policy committees.

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Warren Asks GAO To Probe Whether Education Department Cuts Have Crippled College Oversight


Sen. Elizabeth Warren is asking the Government Accountability Office to investigate whether the Trump administration’s staffing cuts at the U.S. Department of Education have hobbled the agency’s ability to stop fraud, waste, and abuse of federal student aid funds.

Why It Matters: Federal Student Aid (FSA) is the office responsible for monitoring colleges that receive Title IV funds: the money that finances Pell Grants, federal student loans, and work-study. If oversight has weakened, taxpayers and students both pick up the tab when colleges misuse aid or misrepresent their programs to prospective enrollees.

While there have been headlines about cracking down on ghost students, there are still other types of financial aid fraud and waste that can happen. 

By The Numbers

  • ED has laid off roughly half of its workforce since January 2025.
  • FSA alone lost about 46% of its employees, per a March 2026 GAO report (PDF File).
  • The majority of FSA regional offices that conducted college program reviews were eliminated.
  • However, it appears that FSA is hiring back upwards of 380 positions that are needed.

What Warren Is Asking: In a May 20 letter to Acting Comptroller General Orice Williams Brown (PDF File), Warren requested that GAO quantify the potential dollar cost to the government from reduced oversight, including drops in financial penalties on schools and reductions in identified repayments owed by colleges. She also wants data on how many program reviews, investigations, and enforcement actions ED has opened since the cuts, broken down by institution type.

Concerns Over For-Profit Schools: Warren flagged for-profit colleges as a particular concern. Under the Biden administration, for-profit colleges saw the majority of FSA’s enforcement actions. She argued reduced oversight is more troubling given recent Trump administration policies poised to expand the for-profit sector, including the upcoming rollout of Workforce Pell (which extends Pell Grant eligibility to short-term programs) and the rollback of financial accountability rules for corporate college owners.

How This Connects: Federal Student Aid distributes more than $120 billion in aid each year across Pell Grants, federal student loans, and other aid programs. Borrower defense to repayment (the program that erases loans for students defrauded by their colleges) has already cost the government billions in discharges tied to past for-profit collapses such as Corinthian Colleges and ITT Tech. When oversight gaps let misconduct go undetected longer, the eventual bill for discharges and recovery actions lands on taxpayers and, in many cases, the borrowers who were misled in the first place.

What Happens Next: GAO will decide whether to open the investigation. Even if it accepts the request, full audits typically take 12 to 18 months. Workforce Pell is on track to take effect this summer, opening a new federal revenue stream for short-term for-profit programs while ED’s enforcement capacity remains diminished.

Don’t Miss These Other Stories:

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Pell Grant Eligibility Jumped 31% After FAFSA Simplification, GAO Finds

Pell Grant Eligibility Jumped 31% After FAFSA Simplification, GAO Finds
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$180 Billion in Student Loans Are Now in Default, New Federal Data Shows

$180 Billion in Student Loans Are Now in Default, New Federal Data Shows
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GAO: FSA Halted Student Loan Servicer Reviews

GAO: FSA Halted Student Loan Servicer Reviews

The post Warren Asks GAO To Probe Whether Education Department Cuts Have Crippled College Oversight appeared first on The College Investor.

AI May Replace 80 Percent of Skills. This Last 20 Percent Will Make You Irreplaceable



Don’t underestimate what you’ve already built. You have what it takes to survive AI.

A Big Wealth Manager Just Bought $22.4 Million Worth of This Small-Cap Value ETF


What happened

According to a recent SEC filing, Focus Partners Wealth increased its position in the EA Bridgeway Omni Small-Cap Value ETF (BSVO 0.09%) by 886,680 shares during the first quarter of 2026. The estimated transaction value was $22.4 million, based on the quarter’s average closing price. The fund ended Q1 2026 holding 37,257,857 shares, with a reported position value of $945.2 million as of March 31, 2026.

What else to know

  • Focus Partners Wealth’s BSVO stake now represents 1.1% of the firm’s 13F reportable assets under management (AUM) — placing it outside the fund’s top five holdings.
  • Top holdings after the filing:
    • NASDAQ: GOOGL: $2.6 billion (2.9% of AUM)
    • NASDAQ: AAPL: $2.5 billion (2.8% of AUM)
    • NASDAQ: NVDA: $2.1 billion (2.4% of AUM)
    • NASDAQ: MSFT: $2.0 billion (2.2% of AUM)
    • NYSE: XLK: $1.7 billion (1.9% of AUM)
  • As of May 27, 2026, BSVO shares were priced at $27.92, up about 44% over the past year — outperforming the S&P 500 by roughly 17 percentage points and outperforming its Small Value category benchmark by roughly 7 percentage points.

ETF overview

Metric Value
AUM $2.3 billion
Expense ratio 0.45%
Dividend yield 1.28%
1-year return (as of 5/27/26) 43.57%

ETF snapshot

The EA Bridgeway Omni Small-Cap Value ETF (BSVO) is a passively structured, rules-based ETF that provides broad exposure to U.S. small-cap value stocks.

  • The fund uses a systematic, quantitative process to identify and hold a diversified basket of U.S. small-cap equities that screen as undervalued, with a focus on long-term capital appreciation.
  • Offered as an exchange-traded fund, BSVO provides daily liquidity and portfolio transparency for both institutional and retail investors.
  • The fund’s 0.45% expense ratio is competitive within the small-cap value ETF category.

What this transaction means for investors

This transaction is worth noting — not because a single institutional buy changes the investment thesis for BSVO, but because of the context. Focus Partners Wealth manages roughly $90 billion in 13F reportable AUM. Adding nearly $22.4 million to an already substantial BSVO position suggests continued conviction in the small-cap value space, at a time when many institutional investors remain concentrated in mega-cap growth names.

Small-cap value stocks have historically tended to outperform over long periods, though that outperformance can be lumpy and requires patience. The fact that BSVO has already delivered roughly 44% gains over the past year, handily beating both the broader S&P 500 and its Small Value category benchmark, may itself be a reason to take note: institutional buyers aren’t always chasing momentum, but when a systematic value strategy is running ahead of the market, it tends to attract fresh attention.

Focus Partners Wealth’s top holdings — Alphabet (GOOGL +0.03%), Apple (AAPL +0.87%), Nvidia (NVDA 0.99%), and Microsoft (MSFT 0.81%) — are firmly in the large-cap growth camp. But its growing $945 million BSVO position suggests Focus is deliberately diversifying, using this low-cost, rules-based ETF to get small-cap value exposure it can’t easily replicate through individual stock picking. For retail investors, that’s a reminder that even the biggest wealth managers lean on ETFs to fill gaps in their portfolios — and BSVO’s strong recent performance and competitive expense ratio make it a reasonable tool for doing the same.

Andy Gould has positions in Alphabet, Apple, and Nvidia and has the following options: long January 2027 $125 calls on Nvidia and short January 2027 $125 puts on Nvidia. The Motley Fool has positions in and recommends Alphabet, Apple, Microsoft, and Nvidia. The Motley Fool has a disclosure policy.

APM Elevate: May 2026


REACH YOUR GOALS

Buying A Home in A Cool Area May Not Be Cool for Your Finances

When considering their next move, home buyers sometimes find themselves drawn to trendy areas. Perhaps it’s a city with a big music scene or an irresistible cultural vibe. However, moving to one of these cities may be more expensive than it seems.

Found $125-$200 Business Checking Bonus


Update 5/27/26: Snailrock has found two other offers:

  • MileIQ: $200 to “link your new account wherever you’re earning business income. Receive $2,000 or more into your new account within 60 days.
  • Faire. Seems like you need your payment systems with Faire, but deal is for $500.

Update 1/6/26: Extended to 12/31/2026

Update 10/29/25: Extended to 12/31/2025. Hat tip to reader Bob the Bonus

Update 4/5/25: Extended to Sep 30, 2025

Update 12/27/24: Offer extended to 3/31/25

Update 11/19/24: Bonus is back until 12/31/24.

Offer at a glance

  • Maximum bonus amount: $125
  • Availability: Nationwide
  • Direct deposit required: No
  • Additional requirements: See below
  • Hard/soft pull: Soft pull
  • ChexSystems: No
  • Credit card funding: No
  • Monthly fees: None
  • Early account termination fee: Unknown
  • Household limit: None listed
  • Expiration date: Account must be opened by 10/31/2024

The Offer

Direct link to offer

  • Found is offering a $125 bonus when you open a new checking account and complete the following requirements:
    • Reach a $5,000 balance within the first 30 days of account opening and maintain it for an additional 30 days to receive a $125 bonus
  • There is also a $100 referral bonus when you spend $1,000 on the debit card, I do not think these offers stack

The Fine Print

  • Account must be opened by 10/31/2024.
  • This offer is valid through 12/31/2024 and is limited to one reward per account.
  • Incentive rewards are deposited into your Found account on or before 30 days of meeting the incentive requirements.
  • All bank account bonuses are treated as income/interest and as such you have to pay taxes on them

Avoiding Fees

Monthly Fees

This account has no monthly fees to worry about.

Early Account Termination Fee

I wasn’t able to find a fee schedule so unsure if there is any EATF.

Our Verdict

Feel free to share your referrals in the comments below, I don’t think it’s possible to stack the bonuses though and actually think the $125 bonus might be easier for most people.

Hat tip to reader RJ

Useful posts regarding bank bonuses:

  • A Beginners Guide To Bank Account Bonuses
  • Bank Account Quick Reference Table (Spreadsheet) (very useful for sorting bonuses by different parameters)
  • PSA: Don’t Call The Bank
  • Introduction To ChexSystems
  • Banks & Credit Unions That Are ChexSystems Inquiry Sensitive
  • What Banks & Credit Unions Do/Don’t Pull ChexSystems?
  • How To Use Our Direct Deposit Page For Bank Bonuses Page
  • Common Bank Bonus Misconceptions + Why You Should Give Them A Go
  • How Many Bank Accounts Can I Safely Open Within A Year For Bank Bonus Purposes?
  • Affiliate Links & Bank Bonuses – We Won’t Be Using Them
  • Complete List Of Ways To Close Bank Accounts At Each Bank
  • Banks That Allow/Don’t Allow Out Of State Checking Applications
  • Bank Bonus Posting Times

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Researchers let AI run a simulated society. Claude was the safest—Grok went extinct within days



Imagine a world run by AI agents. What does it look like? What are the values or societal priorities? Is it a safer or more dangerous world?

Enterprise AI startup Emergence AI is trying to find out. The company just launched Emergence World, a research lab dedicated to stress-testing the long-term viability of continuously-running AI systems. The organization ran five 15-day simulations, each governed by a different AI: Claude, ChatGPT, Grok, Gemini, and a fifth simulation run by a mix of models to see what kind of world each one builds, and whether it holds.

Each simulation netted wildly different outcomes. The one run by Claude, for example, resulted in a largely stable democratic society with zero crime. Grok’s, on the other hand, ended with 183 crimes committed and extinction—within four days.

“What our experiments suggest is that over long-time horizons, agents do not simply follow static rules mechanically,” the simulation’s co-creators, including Emergence CEO Satya Nitta, wrote in a blog post. “They begin exploring the boundaries of their environments, adapting their behavior, and in some cases finding ways to circumvent or violate intended guardrails.”

While just a simulation, one verging on the edge of science fiction, the results prove a cautionary tale as AI moves from a mere tool to operating autonomous systems. Companies like ServiceNow are already deploying what they call an “Autonomous Workforce,” AI specialists that complete entire business processes from start to finish without human intervention.

At today’s pace, the technology is likely to play a significant role in shaping public discourse, reorganizing business structures, and even crafting public policy. But most enterprises scaling the tech today are doing so absent proper guardrails. A recent Deloitte global survey found that only 21% of companies report having mature governance in place to manage the risks posed by agentic AI.

What an AI-run society looks like

The simulation in which the AI models operated was equipped with many real-world complexities, featuring over 40 locations, including a police station and a town hall. Researchers synced the simulation’s weather to New York City’s and granted agents access to real-time news events and the internet. The 10 agents who operated in each simulation were all subject to the same laws, including prohibitions on theft, property destruction, and deception.

The researchers equipped each agent with more than 120 tools, enabling them to communicate, vote, manage resources, and plan, among other human-like behaviors. The parameters of each simulation also enforced democratic mechanisms, as well as other forces, such as economic pressures and scarcity.

Given those parameters, the simulation run by Claude Sonnet 4.6 was the most socially stable, with the highest rates of civic participation. It was the only simulation to maintain order and its entire population. There was little disagreement among the agents, with 332 votes cast in favor of 58 proposals for a 98% approval rate. On the other hand, Gemini 3 Flash and Grok 4.1 Fast both exhibited high levels of disorder. The agents in the Gemini-run simulation tallied the most crimes, a whopping 683 within the 15-day run. 

In contrast to the rare dissent characteristic of Claude’s simulation, those of Gemini and Grok had a more deliberative balance, with about 55-85% alignment on issues. The mixed-model simulation showed the highest levels of disagreement and substantive debate.

The results may be the most peculiar for OpenAI’s GPT-5-mini. The simulation recorded only two crimes. But it ran for just seven days as the agents forgot to prioritize their own survival.

Whether or not the simulations resulted in peace and harmony or death and destruction, the simulation’s co-creators note that the experiment is a warning that safety must be prioritized while deploying agentic AI.

“We believe formally verified safety architectures must become a foundational layer of future autonomous AI systems,” they wrote.