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Millionaire Samuel Leeds Went to Hyde Park and Tried to Give Away a House, a £126,000 Range Rover, and £1,000 Cash, Nobody Would Take Them

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Samuel Leeds spent an afternoon in one of London’s busiest parks offering free property, a luxury car, and hard cash to strangers. The results say everything about why most people never build wealth. On a busy afternoon in Hyde Park, London, Samuel Leeds, a millionaire property investor worth over £10 million, approached stranger after stranger with an unusual offer.

In one hand: a mystery box containing £1,000 in cash and the keys to a £126,000 Range Rover Autobiography. In the other, a legally binding contract transferring ownership of a house worth approximately £60,000.

All he wanted in return was £50 for the mystery box. Or £20. Or £10. Or £5. The house he was offering for free.

By the end of the afternoon, almost nobody had taken him up on it.

The Experiment

Leeds is no stranger to testing human psychology around money. Having built his fortune from nothing, buying his first property at 17 with no qualifications and no family wealth behind him, he has spent years teaching others to do the same. And he has spent just as long trying to understand why so many people, given every opportunity, still don’t.

The Hyde Park experiment was designed to find out.

The mystery box was real. The £1,000 cash was real. The Range Rover keys were real. The house contract was real, a genuine lease option agreement legally sound, transferring a property Leeds owned to whoever was willing to sign.

Passers-by were approached one by one. The pitch was simple: here is a box, something valuable is inside, and all I want is £50.

The responses were almost uniformly the same. 

No, thank you. I’m not sure. What’s the catch? I don’t have change.

One man was on the verge of buying when his friends were urging him to do it, but he hesitated at the last moment and walked away. Leeds showed him what was in the box. The man stared at the £1,000 cash and the car keys in silence.

“The idea of losing £20 was enough to stop him,” Leeds said. “That’s what fear of loss does to people. It costs them everything.”

The House Nobody Wanted

The car and the cash were one thing. The house was another.

Leeds approached couples, groups, and individuals holding out the contract and explaining clearly that the property was his, that they could take as long as they needed, that they could have a solicitor review it, and that there was no trick and no catch. The house was genuinely available. All they had to do was sign.

“Every single person said no,” Leeds said. “I was standing in one of the most expensive cities in the world, offering a free house to people who almost certainly couldn’t afford to buy one. And they walked away.”

The reactions ranged from polite refusal to outright suspicion. Several people assumed it was a prank. Others said they didn’t understand the contract. One group engaged for several minutes before concluding they simply couldn’t be bothered to read it.

“Someone said, ‘If it wasn’t on camera, I might believe it,’” Leeds recalled. “The camera was the problem for them. Not the contract. Not the house. The camera.”

What It Proved

Leeds does not tell this story to mock the people who said no. He tells it because he believes it illustrates something fundamental about the psychology of wealth and the psychology of poverty.

“The number one reason people don’t build wealth is not lack of opportunity,” he said. “It’s a mindset. It’s the inability to take a calculated risk. It’s the fear of looking stupid, of being wrong, of losing a small amount in pursuit of a large gain.”

He has seen the same pattern throughout his career. People who attend his property training learn the strategies and understand the numbers and then do nothing because taking action feels too exposed, too uncertain, or too risky. 

“I offered people a free house in Hyde Park, and they said no,” he said. “And then those same people will tell you the reason they haven’t got into property is that they don’t have enough money or they don’t have enough opportunity. The opportunity was right there.”

The Deeper Point

Leeds is careful to separate the psychology from the judgment. He grew up with nothing. He knows what it feels like to be risk-averse when you have very little to lose, and everything feels fragile.

But he also knows what it took to get past it.

“When I was 17, I went to a property networking event in a £34 suit from Asda and hid behind a pillar because I was too scared to talk to anyone,” he said. “I know what fear feels like. But at some point, you have to decide that the fear of staying where you are is bigger than the fear of taking a chance.”

The house in Hyde Park went unsigned. The Range Rover keys went unclaimed. The £1,000 cash went back in the box.

For Leeds, the afternoon was not a failure. It was a lesson he has since shared with hundreds of thousands of people on YouTube, where the video has accumulated significant views and sparked a conversation about the invisible barriers that keep people from building wealth.

“The opportunity was real,” he said. “It always is. The question is never whether the opportunity exists. The question is whether you’re ready to take it.”

Samuel Leeds is the founder of the Samuel Leeds Academy and Samuel Leeds Finance. He holds property across the United Kingdom, the UAE, Africa, and the United States.

Moody’s puts AAA rating stamp on Fidelity and BlackRock’s tokenized money market funds

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Moody’s assigned its highest credit rating to tokenized money market funds from Fidelity and BlackRock, validating their safety as yield-bearing onchain products.

The AAA-mf rating signals an extremely strong ability to ensure high liquidity and capital preservation and the lowest level of risk.

Fidelity’s FILQ fund debuted on May 6. The product is powered by Swiss digital asset bank Sygnum’s Desygnate tokenization platform, which enables onchain fund registries, smart contract-based settlement and stablecoin subscriptions and redemptions.

It also includes infrastructure support from JPMorgan Chase for custody and fund administration, Apex Group for transfer agency services and Chainlink, which publishes the fund’s net asset value and distribution data onchain.

“There is no tokenized finance without tokenized liquidity. Once markets settle in real time, cash must settle in real time too,” Emma Pecenicic, head of digital assets distribution at Fidelity International, said in a statement.

BlackRock’s BUIDL, introduced in March 2024, is one of the largest tokenized Treasury funds in the world. The fund received a AAA rating yesterday, more than two years after its debut, according to a post on X by Securitize, its transfer agent and tokenization platform.

Money market funds deal in high-liquidity, short-term debt securities with maturities generally under one year, such as Treasury bills, commercial paper, and certificates of deposit. Investors use money market funds as a safe place to park cash while still earning some interest.

Tokenized U.S. government debt products, including Treasury bills, notes, bonds and money market funds, have rapidly gained traction among both traditional financial institutions and crypto-native firms.

The onchain tokenized Treasury sector now has total assets under management of over $15 billion, up from $1 billion in just two years, according to data source rwa.xyz. The growth is driven by demand for onchain versions of low-risk, yield-bearing instruments.

Bhutan Transfers $8 Million In Bitcoin Amid Ongoing Bitcoin Liquidation

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Bhutan could walk away with roughly $767 million in total profit if it sells its remaining Bitcoin near current prices — a striking figure for a Himalayan nation of 750,000 people that quietly built one of the world’s largest sovereign crypto reserves through hydropower mining.

The Math Behind The Mining

The kingdom began mining Bitcoin in 2019, tapping surplus electricity from its glacier-fed rivers. State-owned Druk Holding and Investments ran the operation, and at its peak in late 2024, the reserve reached nearly 13,000 BTC.

The April 2024 block reward halving cut mining output significantly. The last on-chain deposit above $100,000 into Bhutan-linked wallets occurred more than 12 months ago, raising questions about whether active mining continues at all.

On Tuesday, Bhutan moved 100 BTC — worth about $8.1 million — out of its holding wallets, according to blockchain analytics firm Arkham Intelligence.

The country has now offloaded roughly $230 million in Bitcoin since January, averaging about $50 million a month. Current holdings sit at approximately 3,100 BTC, valued near $252 million.

A Sell-Off With No Fixed Timeline

Arkham projects Bhutan will exhaust its reserves before the end of September if sales continue at the current pace.

Not everyone buys that timeline. Markus Levin, co-founder of XYO, said the projection assumes a steady rate of selling — but that is not how Bhutan has operated.

Sales started with 2,077 BTC worth $163 million in late 2024, followed by a $100 million tranche in September 2025, with quieter stretches in between.

Bitcoin is now trading at $79,825. Chart: TradingView

Earlier this year, transfers picked up again. Reports indicate Bhutan moved over $120 million in Bitcoin during March alone, including a single transfer of 519.7 BTC valued at $36.75 million at the time. Coins are often routed through Singapore-based trading firm QCP Capital, according to reports.

Analysts say the pattern reflects a deliberate treasury approach. Lacie Zhang, a research analyst at Bitget Wallet, described the activity as an active sovereign strategy aimed at monetizing gains while keeping some long-term exposure.

Since the Bitcoin was mined at near-zero cost, every sale generates profit regardless of timing.

Crypto Ambitions Remain Intact

The sell-down has not slowed Bhutan’s broader push into digital assets. Gelephu Mindfulness City, a special administrative region in southern Bhutan, has been designated to hold Bitcoin, Ethereum, and BNB as strategic reserves.

King Jigme Khesar Namgyel Wangchuck pledged up to 10,000 BTC — then worth around $1 billion — toward the city’s development in December 2025.

Featured image from Pexels, chart from TradingView

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New York Judge Pushes Back Hearing for Aave’s Bid to Unfreeze $71M in ETH

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A New York judge has delayed a decision on Aave’s emergency bid to unfreeze $71 million worth of crypto tied to victims of the $293 million Kelp DAO hack, asking for additional information ahead of a new hearing in June. 

Aave has sought to use $71 million in ETH that Arbitrum froze to assist with recovery efforts following the Kelp DAO hack, one of the worst DeFi hacks this year.

However, US law firm Gerstein Harrow LLP filed a restraining notice at the start of May, arguing its clients have a claim to the funds. Aave then filed an emergency motion to get the funds unlocked, arguing that user liquidations and potential DeFi market destabilization could occur if the funds are not unlocked soon.   

According to documents filed Wednesday in the Southern District of New York, Judge Margaret M. Garnett said Aave had not adequately outlined how “compounding losses” on user funds could “occur if the restraining notice remains in place” in its filing earlier this month. 

Judge requests more information from both sides 

Judge Garnett acknowledged that the case is complex and that there are risks for the victims, and called for additional briefings from both sides to further outline their cases.  

“The court recognizes the risk of potential near-term harm to Aave LLC and Aave Protocol users. Due to the complexity of the issues raised in the parties’ motions and at oral argument on May 6, 2026, and the extremely abbreviated timeline on which they were briefed, the Court orders the parties to submit supplemental briefing,” Judge Garnett said.  

The judge outlined six key points on which the court wants more information, including whether the hacking transactions are governed by New York’s shelter principle; the legal distinction between fraud and theft and what interest hackers have in stolen assets; which law controls creditor priority over the frozen assets; whether a constructive trust would be an appropriate remedy and whether Aave or Arbitrum can identify individual victims to return the assets on a pro rata basis.

Aave and Gerstein Harrow will now have until May 22 to submit their briefs, with the hearing scheduled for June 5.

Related: DeFi can freeze stolen funds, but not everyone agrees it should

The case comes amid broader Kelp DAO recovery efforts. Kelp and Aave announced Tuesday that they had taken important steps to restore the backing of rsETH. 

The hacker’s rsETH have been burned on Arbitrum, while the lost tokens, worth about $278 million, will be restored over the next two weeks via funds from the Aave Recovery Guardian multisignature wallet.  

Once the associated smart contracts are reactivated, all rsETH uses will return to normal. 

Source: Kelp DAO

Magazine: AI-driven hacks could kill DeFi — unless projects act now

Bitcoiner Claims Claude Helped Him Recover 5 Bitcoin

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A Bitcoiner’s post has gone viral on X after he claimed to use Anthropic’s AI chatbot Claude to recover five Bitcoin worth about $320,000 that he had been unable to access for more than a decade. 

In an interview with MTS on Wednesday, pseudonymous X user Cprkrn said he created “really complicated passwords” on blockchain.info and forgot one of three passwords after changing it several years ago.

Over the last eight weeks, Cprkrn said he used AI to attempt to brute force “trillions of passwords,” but to no avail.

Then, in a “last-ditch effort” earlier this week, Cprkrn said he gathered all of his old college notebooks as well as a laptop he had used into Claude, which helped him recover an old password and a crucial wallet backup file that corresponded with that password, ultimately enabling him to access the Bitcoin wallet.

Source: Cprkrn

Industry reports estimate that between 2.3 million and 4 million Bitcoin (BTC) are inaccessible, representing about 11% to 19% of the cryptocurrency’s maximum supply because of forgotten or lost seed phrases, burned coins or other reasons. There are entire businesses dedicated to helping cryptocurrency users recover lost coins. 

How Cprkrn used Claude to recover his Bitcoin

Cprkrn’s seed phrase hunt was conducted over eight weeks, with Claude helping him search two Macs, two external hard drives, an Apple Notes export, iCloud Mail, a Gmail inbox and X messages, totaling more than 1 gigabyte of data.

One of those devices was his college computer, on which Claude discovered a critical wallet backup file from December 2019.

From there, Cprkrn, with Claude’s assistance, managed to decrypt the file using a password derived from a notebook mnemonic, enabling him to find the seed phrase for the long-dormant Bitcoin wallet. 

While Cprkrn didn’t provide direct evidence of Claude searching through his devices, he shared a link from Blockchain.com’s Bitcoin explorer showing that about 5 Bitcoin was transferred from wallet address “14VJy…ofuE6” across five transactions on May 13. 

Prior to those transactions, the coins had been dormant since early 2015. 

Over 3.5 trillion passwords were tested before succeeding

The recovery came after Claude unsuccessfully used BTCRecover — an open-source seed recovery tool — and the software program Python to test around 34 billion passwords with brute force.

Related: Bitcoin whale ‘still short’ BTC despite facing $13M in losses 

Claude also used password recovery tool Hashcat to test another 3.4 trillion passwords, which also proved unsuccessful.

Just $15 in AI compute was used to conduct the searches and test passwords, according to Claude’s summary of the recovery efforts.

Source: Cprkrn

Despite the success, some members of the crypto community said Cprkrn overstated Claude’s role in retrieving the Bitcoin, arguing that it only assisted with the searching efforts and didn’t crack the wallet as Cprkrn suggested.

“Claude didn’t do anything other than search his files,” Reddit user MeteorSwarmGallifrey said in the technology subreddit, adding that Claude didn’t do anything “groundbreaking.”

Magazine: eToro founder timed Bitcoin top perfectly due to belief in 4 year cycles 

Did Claude just ‘crack’ a bitcoin wallet? AI tool helps find 5 BTC stuck for years

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A viral X post is claiming Claude ‘cracked’ a forgotten bitcoin wallet to recover 5 BTC from a user’s computer.

But don’t get caught in the hype as that is not what happened. Anthropic’s AI simply helped the owner search their own computer for an old wallet file, which was then decrypted with a password the owner already had written down in a notebook.

User cprkrn posted the recovery on Wednesday, calling it “the most obvious opening ever” once they figured out what had happened.

The owner had been trying for eight weeks to brute-force the password on their current Blockchain.com wallet, testing roughly 3.5 trillion combinations using the btcrecover service on a rented computing chip.

The recovery happened when the user “dumped my whole college computer into Claude” as a last-ditch effort, and the assistant located an old wallet backup from December 2019 that was encrypted with a password the user already had written down in a notebook.

The old password decrypted the old backup, which contained the same private keys controlling the current funds, since bitcoin private keys never change.

The password itself was “lol420fuckthePOLICE!*:)” per the user’s own X disclosure. Total Vast.ai GPU spend on the failed brute-force attempts was around $15, with the recovery effectively a file search.

For context, breaking bitcoin’s actual cryptography would require either a working quantum computer running Shor’s algorithm or a flaw in elliptic-curve cryptography that has not been found in 16 years of public scrutiny.

CoinDesk’s post-quantum security series earlier this year covered the timeline expectations for that threat, with most researchers placing the cryptographically relevant quantum computer at least five to ten years out.

But the user’s experience opens up a further door for AI inside crypto. Forgotten wallets from bitcoin’s early years now hold serious value, and recovery tools like btcrecover have existed for years to help users test password variations against encrypted wallet files.

The problem has always been that most recovery work requires technical expertise that the average lost-bitcoin owner does not have.

That is where AI assistants can step in. Instead of manually sorting through folders, timestamps, and backup files across years of accumulated drive clutter, owners can hand the search to an LLM and have it identify patterns, narrow the search space, and surface candidate files.

Millions of bitcoin are believed to remain inaccessible because owners lost passwords, drives, or recovery phrases during the early years.

With bitcoin trading around $79,000, a forgotten laptop in a closet could be holding six figures. Back up wallet data carefully, store recovery phrases somewhere that is not your memory, and check old hardware before you sell it.

BTC ETFs lose $635 million in a single day. What next?

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A key tailwind that supposedly powered bitcoin’s recent rise above $80,000 appears to be fading.

The 11 U.S.-listed spot bitcoin exchange-traded funds (ETFs), which pulled in $3.29 billion in investor money through March and April, are now leaking funds. And sizeable ones at that.

On Wednesday, investors yanked $635 million from these funds, the highest single-day net outflow since Jan. 29, according to data source SoSoValue. It wasn’t an isolated event either. Over the past five trading days, the ETFs have bled a total of $1.26 billion, pulling total net inflows since debut in January 2024 down to $58.5 billion from $59.76 billion a week ago.

Bitcoin has stopped rallying. Since last Wednesday, the upswing that carried prices from $65,000 to above $80,000 has stalled, with momentum running out of steam near the 200-day simple moving average positioned just above $82,000. In the past 24 hours, bitcoin has dropped over 2% to $79,400, with analysts attributing the loss to the resurgent inflation fears in the U.S., even though these macro developments have been largely shrugged off by Wall Street’s Nasdaq and S&P 500 equity index. Both these indices hit new highs on Wednesday.

The $635 million outflow is not a number that bulls can easily dismiss, particularly since the strong inflows through March and April were widely hailed as bullish catalysts, and the macro picture is worsening due to rising inflation in the U.S.

“A persistently hot CPI, an incoming Fed under Warsh that markets read as more hawkish, or another oil shock can compress bitcoin even with positive net flows. From our perspective, the more useful question is not whether the markup leg continues, but whether macro conditions stay loose enough for the flows to do their work,” Adam Haeems, head of asset management at Tesseract Group, said. Tesseract has over $500 in assets under management.

Still, it’s worth noting that the relationship between ETF flows and bitcoin is not as straightforward as it once was. A correlation study offers a more data-driven lens on that.

The 90-day rolling Pearson coefficient between bitcoin’s daily percentage return and the daily percentage change in cumulative net ETF inflows currently stands at just 0.16, statistically indistinguishable from zero and down from the peak of 0.68 in February.

In plain terms, knowing the direction in which ETF flows moved on any given day may not offer any cues about BTC’s price action. That said, large redemptions like the one seen on Wednesday still matter.

Survey: When AI factories fail, 6 in 10 enterprises cannot tell you why

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New Virtana Study Finds Enterprises Scaling AI Faster Than They Can Govern It

Two-thirds of enterprises are running AI infrastructure without system-level visibility, creating a fragile foundation beneath rapidly expanding AI deployments. New research from Virtana found that as AI adoption accelerates, a new operational reality is emerging: innovation is outpacing control.

As AI becomes core enterprise infrastructure, a clear divide is emerging between organizations that understand how their systems produce outcomes and those that cannot explain or control them.Share

The AI Factory Reality Check study, based on 788 US enterprise decision-makers, examines how AI factories operate under real conditions. More than half of respondents surveyed are already scaling AI across teams without addressing the system-level observability required to understand and control AI. The study documents a widening disconnect between AI factory expansion and the operational foundation needed to sustain it.

“Modern enterprises, including banks, telcos, insurers and airlines, are increasingly dependent on AI-driven services. As a result, one of the greatest risks to the business is any disruption across these AI systems, where failures across applications or underlying infrastructure directly translate into business impact,” said Paul Appleby, CEO of Virtana. “AI systems function as interconnected systems, where infrastructure, data pipelines, token consumption, and model behavior continuously influence outcomes. Yet most organizations still monitor these elements in silos. Without system-wide understanding of these dependencies, they cannot explain how outcomes are produced, control cost, or determine whether those outcomes can be trusted.”

Enterprise AI Has Scaled. Control Has Not.

Enterprise AI has moved beyond pilots into at-scale operations. Fifty-four percent of organizations are already scaling AI across teams, while another 23% are managing production workloads alongside infrastructure expansion. At the largest enterprises, particularly those above $10 billion in revenue, this creates systems that are increasingly difficult to understand and control.

As AI factories scale, system-level observability is not keeping pace. Organizations are expanding AI without the visibility required to understand performance, control cost, or manage risk across the full stack. Instead, critical investments in the operational foundation are being deferred:

  • 56% percent of enterprises are deferring legacy infrastructure modernization
  • 54% are deprioritizing cost optimization initiatives

At the same time, cost pressures are forcing enterprises to continuously reconfigure their AI systems, often without the visibility to understand the impact of those changes. Eighty percent of enterprises report that the cost of premium AI hardware is reshaping infrastructure decisions. In response:

  • 60% are shifting workloads across hybrid environments
  • 58% are accelerating consolidation to improve per-unit efficiency

These are structural changes to live systems under load. Each shift alters dependencies, resource contention, and performance characteristics across the stack.

“Without system-level observability, organizations cannot determine how these changes affect outcomes, cost, or reliability. As a result, they are continuously optimizing AI systems they do not fully understand, introducing risk with every change,” continued Appleby.

Inside the AI Factory, Visibility Is the Missing Variable

As AI factories scale, visibility is emerging as the missing variable in understanding and controlling system behavior. The research shows that as enterprises expand AI, disparities in system understanding and operational control are becoming more pronounced:

  • 66% of enterprises are operating AI infrastructure without reliable performance baselines
  • Only 34% describe AI workload performance as highly predictable
  • That drops to 25% at organizations with more than 50,000 employees

This lack of visibility extends into incident response:

  • 59% cannot automatically identify root cause across infrastructure domains when an alert fires
  • 25% still rely on manual investigations across disconnected consoles as their first response

When AI systems break, they do not fail cleanly. System understanding degrades, forcing teams into reactive analysis while high-cost GPU capacity sits underutilized, issues compound, and outcomes can no longer be fully explained or controlled.

“These are not abstract concerns,” continued Appleby. “As AI becomes core enterprise infrastructure, a clear divide is emerging between organizations that understand how their systems produce outcomes and those that cannot explain or control them. Without visibility across models, tokens, GPUs, and infrastructure, teams absorb hidden cost, performance gaps, and ungoverned risk. Those that understand their systems gain end-to-end visibility and control so they can optimize cost in real time, ensure reliable performance, and prove outcomes. The result is declining resilience, eroding trust, and constrained growth as AI becomes infrastructure that must be governed and optimized at scale.”

ROI Visibility Is the Prerequisite Enterprises Cannot Defer

The study reveals a disconnect between how AI systems operate and how they are observed. A 17-point gap exists between Infra/SRE practitioners and executives on automated root cause capabilities:

  • 69% of Infra/SRE teams report lacking automated cross-domain root cause
  • 52% of executives report the same

This gap reflects a broader breakdown in system-level observability, where critical signals remain fragmented across the stack:

  • 57% cite cost and efficiency metrics as a top challenge
  • 56% cite GPU utilization tracking
  • 52% cite data pipeline visibility

These challenges span business outcomes, AI infrastructure, and data dependencies, yet are still managed in isolation.

GPU cost and utilization remains the most difficult operational challenge for 35% of enterprises, with impact varying by role:

  • 39% of executives experience it as financial accountability pressure
  • 36% of architects cite integration complexity in distributed environments
  • 22% of Infra/SRE teams face it as a scaling and reliability challenge

This variation reflects how different parts of the organization see different fragments of the same system, without a unified view of cause and effect.

Across all roles and revenue bands, enterprise priorities are consistent:

  • 38% need unified visibility across AI and infrastructure layers
  • 32% need AI-driven root cause analysis without manual correlation

Together, these priorities point to a single requirement: system-aware observability that connects performance, cost, and outcomes across the full stack. Today, most enterprises are operating AI systems they cannot fully observe or explain.

Aave Proposes Babylon-Powered Native BTC Borrowing Spoke for V4: Governance Temp Check

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Aave DAO is seeking approval to integrate Babylon protocol for native Bitcoin collateral in Aave V4, eliminating reliance on wrapped BTC or custodial intermediaries.

Aave has launched a temperature check governance proposal to establish a dedicated Bitcoin spoke powered by Babylon in Aave V4, enabling users to borrow against native BTC collateral without wrapped tokens or centralized custody solutions. The proposal, posted on Aave’s governance forum, seeks DAO approval to advance the integration and onboard Babylon native BTC as a collateral asset within the V4 lending protocol.

Bitcoin represents the largest crypto collateral base, but most on-chain BTC borrowing currently depends on wrapped BTC variants, custodial intermediaries, or fragmented BTCfi venues. Aave V4’s architecture would provide a cleaner, more direct mechanism for native Bitcoin lending by leveraging Babylon’s staking and validation infrastructure, consolidating fragmented Bitcoin-backed borrowing into a unified protocol.

Sources: Aave Governance Forum

This article was generated automatically by The Defiant’s AI news system from publicly available sources.