Best High-Yield Savings Rates in the US — Up to 4.91%
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Best High-Yield Savings Rates in the US — Up to 4.91%
Your Savings Account Is Probably Earning Almost Nothing Here's the Fix If your money is sitting in a regular savings account right now, it's quietly losing value to inflation and the fix takes about 10 minutes. Here's the gap most people don't realize exists: the average traditional savings account pays just 0.22% APY. The best high-yield accounts available right now pay up to 4.91% APY more than 10 times the national average. On a basic savings account, the highest yield today is 5.84%, while the average standard account pays just 0.22% That's not a rounding error. On $10,000 in savings, the difference between 0.22% and 4.91% is roughly $469 a year in free money, just for moving your cash to a better account. Why Rates Are Still This High Savings rates are heavily influenced by the Federal Reserve's moves and after the Fed cut rates at it's September, October, and December 2025 meetings, many savers assumed yields would keep falling. They haven't at lea...
IBM Joins Swift's Blockchain: 17 Banks Already Piloting It
IBM Plugged Into Swift's Banking Blockchain Here's Who's Already On It: The world's biggest bank messaging network just quietly went blockchain and IBM wants in. On September 25 - 2026, IBM connected its Digital Asset Haven platform to Swift's blockchain-based shared ledger, currently in beta. The move lets banks move tokenized deposits across Swift's network using an ISO 20022 messaging adapter meaning banks can tap blockchain rails without ripping out their existing payment systems. Swift isn't a small player here. It connects over 12,500 financial institutions across more than 200 markets, moving the equivalent of world GDP every two to three days. So when Swift adds blockchain to that stack, banks pay attention. The First Live Transaction Already Happened HSBC and Standard Chartered beat everyone to the punch, completing the first live transaction on the ledger back in August proof the system works outside the lab. Meet the 17 Founding Banks Swift's ...
Crypto Funds Just Posted Their Best Week of 2026 — $3.5B in a Single Week
"Bitcoin ETFs Go 5-for-5: Crypto Funds Hit Biggest Inflow Week of the Year" Digital asset investment funds pulled in $3.5 billion last week, according to CoinShares latest Digital Asset Bi-Weekly Digest the largest single-week inflow recorded in 2026. The surge pushed total assets under management across crypto funds to $173 billion globally. Bitcoin Led the Charge US spot Bitcoin ETFs were the standout performer, hauling in $2.39 billion and staying positive on all five trading days of the week. Ethereum products weren't far behind, adding $690 million over the same stretch. Together, these flows pulled year-to-date totals back into positive territory up to $8.6 billion for 2026 so far. What Sparked the Rally? CoinShares attributes the strength to the removal of uncertainty following the Federal Reserve's recent rate decision. Once the outcome became clear, investors who had been sitting on the sidelines started deploying capital again. The US Dominated But Who Else...
Visa Is Shutting Down the Meme Coin Credit Card Loophole
Buying meme coins with a credit card came with an unexpected perk: some users could earn ordinary credit card points and cash back on their crypto purchases. Visa is now moving to close that loophole. The issue centered on how meme coin purchases were classified by payment processors . Some Crossmint-powered checkouts used merchant category code (MCC) 5815 , a category intended for digital media such as movies, music and audiobooks, rather than a crypto-specific category. That meant a meme coin purchase could look to the card network like a normal digital-media purchase. How the loophole worked Users of Robinhood Wallet and Fomo could purchase certain meme coins using credit cards through Apple Pay or Google Pay. According to The Block's testing, transactions made with Visa and Mastercard cards were classified as digital-media purchases and could earn normal card rewards, including points and cash back. The classification mattered because crypto purchases are generally t...
Vitalik Says AI Will Make Crypto More Secure
What if the same AI that helps hackers find vulnerabilities could also make your crypto harder to steal?
That is the possibility Ethereum co-founder Vitalik Buterin is pointing to. He argues that AI could make software fundamentally harder to break by making formal verification practical at a much larger scale.
Formal verification uses mathematical proofs to confirm that code follows specific security rules. Instead of relying only on testing to find bugs, developers can prove that certain parts of a program behave as intended.
But Buterin says there is a bigger challenge.
The Hardest Part Is Defining Security
According to Buterin, defining what “secure” actually means is harder than verifying the code.
A security definition needs to account for more than obvious bugs. It may also need to consider compromised servers, leaked keys, network attacks, metadata and hardware vulnerabilities.
If an important threat is missing from the definition, a perfect mathematical proof will not protect against it.
That is why this matters for crypto. A blockchain can have formally verified code and still have weaknesses somewhere else in the system.
AI Could Change the Equation
This is where Buterin sees AI becoming useful.
AI could help developers identify vulnerabilities, write security specifications and generate the proofs needed to verify increasingly complicated software.
Ethereum's longer-term goal is to extend verification beyond individual pieces of code and cover more of the full software stack, including databases, networking and caching.
For crypto users, that could eventually mean stronger protection for the systems holding and moving digital assets.
The interesting part is that AI does not have to make crypto less secure.
If developers can use it to prove more of their software works as intended, the technology could give defenders a powerful advantage in the same security race that is making attackers more capable.
The question is no longer just whether AI can find bugs.
It is whether AI can help developers prove that fewer dangerous bugs exist in the first place.
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