In just hours, the cruise ship at the center of a deadly hantavirus outbreak is expected to arrive in the Canary Islands. All the passengers will then be evacuated to their home countries, including 17 Americans. Ramy Inocencio reports and Dr. Jon LaPook has more on the virus.

The conversation started as a way to pass time on the long trip. But it soon ballooned into a comprehensive endeavor, with the AI taking over the marketing, planning, pricing, and negotiating. Through simple prompts throughout the home-selling journey, Levine and his wife clinched a signed contract to sell their Cooper City, Fla., home for $954,800—or $100,000 more than what real estate agents estimated the home’s value to be.

“When we met with real estate agents they lacked confidence in pricing,” Levine told Fortune. “ChatGPT gave us more confidence in price points of where the market was going.”

AI models are growing more capable of completing even the most complex tasks, surpassing benchmarks that the world’s smartest mathematicians and lawyers deemed onerous hurdles. 

It’s not just businesses that are leveraging the technology. Everyday Americans are using AI to serve themselves, some for selling their homes, and others for more questionable practices like completing their schoolwork. Some AI experts and business leaders think the technology could wipe out swaths of white-collar workers, and real estate agents may not be spared.

Levine has the technological acumen to utilize the full extent of ChatGPT’s tools. As the CEO of strategic consulting firm ComOps, he guides casinos and hospitality brands on how to leverage AI. Still, Levine is convinced the way he sold his house is attainable to even those less tech-savvy than he.

“I’d recommend it to everyone,” he said. “ChatGPT is not coding. It is a conversation, and you’re going to have to have that conversation with a real estate professional if you want to go that direction anyway.”

ChatGPT as a negotiator and a painter

For Levine, conversations with real estate agents didn’t quite fit into his busy schedule. And though he spoke to some, none were confident in the pricing of his home. ChatGPT, on the other hand, assured him that listing the home $100,000 more than what real estate agents advised was the right move.

The home sold for one of the highest per-square-foot prices in the market, according to Levine, despite not having the best view, the largest lot, or being the most updated property in the area. 

The AI planned the most granular aspects of the homeselling process. It gave tips on how to update the property, even suggesting which walls to repaint. And it told Levine when to schedule home viewings to work around his schedule. The father of three ultimately showed his home to 15 prospective buyers, one-third of whom submitted an application.

“It pushed us through all of that, including small things that I would have never thought of,” Levine recalled. “The first impression is important. We hear that all the time about curb appeal. But also when they walk into the house, they don’t want to see scuffs on the wall.”

While the AI functioned as Levine’s personal real estate agent, there were some barriers to its abilities. For one, Levine had to be engaged at every step. That meant prompting the AI for instructions rather than handing over duties to an autonomous AI agent. And while recent studies have shown AI is theoretically capable of handling the majority of tasks a lawyer does, he opted to hire his own lawyer. And of course, the technology couldn’t host open houses or box up his family’s belongings.

Levine still thinks real estate agents fulfill the needs of certain homebuyers, but believes all home sellers could benefit from putting the technology to work.

“It doesn’t necessarily replace professionals,” he said. “But it does allow us all to have the ability to be more curious and to feel more confident in the decisions we’re making.”

A bitter domestic dispute has spilled into the UK High Court after a man claimed a massive Bitcoin holding vanished from his control under unusual circumstances inside his own home.

Ping Fai Yuen has accused his estranged wife Fun Yung Li of secretly recording the recovery phrase to his hardware wallet and using it to access funds now valued at about $176 million. The claim centers on a 24-word seed phrase, which acts as the master key to a private crypto wallet.

Bitcoin Split Across 71 Wallets In Alleged $176M Transfer Scheme

According to court filings, the Bitcoin was moved into 71 separate wallet addresses shortly after the alleged access took place. The claimant, Yuen, believes the transfer was deliberate and designed to spread the funds in a way that would make tracing and recovery harder.

He also told the court that recording devices had been set up inside the home, initially over concerns raised by a child. Audio gathered from those devices is said to include conversations involving Li about moving money without triggering alerts from banks or authorities.

Police later searched properties connected to Li and seized several items, including cold wallets and high-value watches. She was arrested and released on bail while inquiries were carried out. Investigators have since indicated that no further action will be taken unless new evidence surfaces.

A sample Bitcoin seed phrase. Source: Unchained

Judge Sees Strong Chance Of Success

The High Court has signaled that the case may move quickly. A judge reviewing the material said the claimant appears to have a strong case and suggested an expedited trial due to the size of the assets and the risks tied to their security.

An application has been made to freeze assets believed to be linked to the defendant and her sister. The goal is to prevent any movement while the dispute is still being decided. The court reviewed transcripts and materials gathered during searches when considering the strength of the claim.

Another issue that concerned the judge was how easily digital assets could be transferred between jurisdictions, which could pose a problem if the case is not settled quickly.

BTCUSD trading at $74,009 on the 24-hour chart: TradingView

Legal Limits And Questions About Conversion

This case is also attracting attention because of the legal issues that have been raised. Experts say that this case could put to the test how conventional laws governing property apply to cryptocurrencies, especially when recovering assets that exist only virtually.

One of the issues being discussed is whether conventional legal remedies available for stolen property can apply to Bitcoin. Early indications suggest that some of those routes may not fit neatly with digital assets.

Parts of the claim have already been narrowed as the court examines which arguments can proceed. That process is expected to shape how similar cases are handled in the future.

Featured image from Secureye, chart from TradingView

Ethereum network dominance is turning out to be constructive rather than speculative as the blockchain expands beyond its Decentralized Finance (DeFi) stance. After dominating as a leader in on-chain finance, the network is now leading AI innovation.

AI Innovation Accelerates On The Ethereum Network

As the blockchain landscape expands, the Ethereum network is taking the spotlight in terms of Artificial Intelligence (AI) innovation. A recent report indicates that the blockchain is emerging as the primary hub for on-chain AI agents, suggesting an expansion beyond its roots in DeFi.

Compared to other chains, ETH is gradually becoming the home for these projects, surpassing them by a long shot. More autonomous, revenue-generating AI systems are being constantly hosted and supported by the blockchain.

As seen on the chart shared by Leon Waidmann, a data analyst and the head of research at Lisk, the number of AI agents on Ethereum has reached 27,315. Other major chains, such as Base, Monad, MegaETH, and BNB Smart Chain, have recorded 19,499, 8,348, 8,150, and 6,689 in AI agents, respectively. With this figure, the ETH network now handles 40% more AI agents than the chain in second spot.

However, this may be larger than it looks. Base, along with Arbitrum, Scroll, Linea, and MegaETH, is an Ethereum Layer 2, which means the ETH ecosystem accounts for the vast majority of all on-chain AI agents when put together. 

During this period, discussions regarding a haven for the AI agents. Providing an answer that aligns with that of the market, Waidmann stated that these agents live where the liquidity is, where the smart contracts are battle-tested. In addition, this is where the infrastructure is deepest and where the network effects are at their strongest.

Bitmine In The Center Of The AI Agents’ Growth

BMNR Bullz has revealed on X that Bitmine Immersion is positioned for Ethereum’s next phase and AI agents. With the internet shifting from moving information to moving value, the company is emerging as a pioneer of the transition. Previously considered as separate trends, blockchain, stablecoins, and AI are now converging into a programmable economic system where transactions, settlement, and capital allocation occur natively online. 

The world is seeing a change with tens, potentially hundreds, of billions of AI agents set to interact and perform economic functions over the internet. These agents will need to work with programmable money, open settlement, and neutral infrastructure, not legacy rails, and this is where Ethereum comes in.

This is structurally bullish for ETH, and Bitmine was built around that reality. Bitmine boasts roughly 4.4 million ETH, marking about 3.7% of the total supply. There is zero debt and no forced selling through cycles from the company; therefore, reserving liquidity to accumulate during drawdowns. Furthermore, the firm has locked away 3 million ETH in staking, earning native yield.

Beyond holding and staking, Bitmine is building a staking and validation network, MAVAN, created to bolster its assets and expand to stake other companies’ crypto over time. This network will position the company at the forefront of ETH’s next phase and AI agent, and as part of the infrastructure layer supporting external capital.

Featured image from iStock, chart from Tradingview.com

These days, a new “parking spot” fight is emerging – not over the office lot, but over who gets to work remotely and how often. As companies grapple with return-to-office mandates and hybrid schedules, decisions about who works where are becoming a flashpoint. Research confirms what many business leaders already sense: inequality in remote work is growing. High-income, highly educated employees are far more likely to have remote options, while most others are not. For jobs paying around $30,000, remote work is rare; for those earning over $200,000, more than 30% offer part- or full-time flexibility. Many of the executives we talk to in our executive education programs mention fairness (or the lack thereof) as a significant concern associated with work-from-home. Employees required to come into the office feel they are being treated unfairly, which can undermine engagement and morale. In this new world, work will not be uniform — it will be personalized. But with personalization comes the challenge of maintaining fairness in the increasingly customized work arrangements. How should organizations address this? 

In general, there’s no shortage of felt unfairness in the workplace. Everyone knows that people within the same organization often earn different salaries. Other benefits — like health insurance or leave policies — are also unequally distributed. So why is who gets to work remotely such a concern? And what can leaders do to address it?

Research shows that are more likely to accept unfavorable decisions if they perceive fairness in the decision-making process. In practice, this is difficult because fairness depends on many factors: (1) whether reasons for the decision were clearly explained, (2) whether it was applied consistently, (3) whether people had enough time and resources to adapt, (4) whether their input was solicited and considered, and (5) whether they were treated with dignity and respect. Even if most of these conditions are met, one or two unfair elements can strongly shape overall perceptions of fairness.

When it comes to remote work, simply stating that a job can be done remotely is not enough to justify why someone gets that benefit. So, here are three key factors to ensure custom hybrid work arrangements gain wider support:

1. Clarify how and why the new work structure (remote, hybrid or in office) adds value—for everyone

Unequal treatment becomes more legitimate when it is seen as instrumental to a greater goal. Leaders need to communicate clearly that remote work is a productivity strategy. That means explaining, with specificity, how working from home enables better focus, faster execution, or higher-quality output—and how these benefits help the team or organization perform better overall.

Too often, work-from-home arrangements are framed in terms of individual preference or convenience. Instead, they need to be justified in terms of value creation. If remote work doesn’t clearly contribute to better outcomes, it shouldn’t be allowed. But when it does, employees—both remote and in-person—deserve to understand why.

2. Involve employees in shaping hybrid policies

People are more likely to accept unequal arrangements when they have a voice in the process. Rather than decreeing top-down policies, companies should engage employees—across roles, functions, and work modalities—in conversations about what hybrid work should look like.

Conversations can take the form of surveys, listening sessions, cross-functional working groups, or even informal feedback loops. The gold standard of involvement is for employees to know that their views were seriously considered. When employees see that their perspectives are reflected in policy decisions, they can directly see that their input was taken into account, leading them to view decisions as fair. The bigger challenge is to show people that their input was seriously considered even when it was not reflected in policy decisions. When this is the case, leaders must provide reasonable explanations  and in a reasonable tone of voice. 

3. Invest in improving the in-office experience—for real

To those who must be on-site, hybrid work can feel like a raw deal. That’s why organizations need to go beyond surface-level perks (free snacks won’t cut it) and focus on creating meaningful improvements to the work experience in the office.

This could include better-designed spaces for collaboration, clearer schedules for shared presence, or streamlined workflows that reduce friction and frustration. The goal is to make in-office work genuinely more productive and purposeful. Such changes are significant to employees not only substantively, but also symbolically. After all, it conveys to employees that they are being treated with dignity and respect.

Hybrid work is here to stay. But its long-term success will depend not just on technology or policy—but on the fairness of the process of planning and implementing it. By explaining decisions clearly, taking employees input seriously, and improving work for those on-site, leaders can build hybrid systems that feel less like a divide—and more like a shared enterprise.

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According to the Tel Aviv District Attorney’s Office, a Bitcoin trader in Herzliya was attacked and robbed in what prosecutors call a violent home invasion on September 7.

The victim was stabbed and forced to give up digital wallet access. Reports say the thieves walked away with roughly $600,000 in assets and valuables.

How The Attack Unfolded

Reports have disclosed that the assailants waited in the stairwell outside the victim’s apartment and struck at about 8:10 a.m. They forced their way in when the door opened. The attacker tied the man up and stabbed him twice, each wound above the knee.

They threatened harm to his family to force him to hand over wallet codes. At first, the group demanded 500 Bitcoin, a demand that was later scaled down as violence was used to extract access.

Under pressure, the victim surrendered credentials that allowed transfers of approximately $547,260 in Bitcoin and $42,248 in USDT.

The intruders also took a Rolex watch valued at about $50,000, a laptop, a Trezor hardware wallet, around €5,300 in cash and several thousand Israeli shekels. Before leaving, they sprayed disinfectant inside the flat—apparently in an effort to erase traces.

Arrest And Charges

Based on reports, police arrested 46-year-old Murad Mahajna on September 10. He was indicted by the Tel Aviv District Attorney’s Office.

The charges include breaking and entering, aggravated robbery, extortion by threats, obstruction of justice and making threats.

Prosecutors say they linked Mahajna to the scene using phone records, voice identification, technological data and CCTV footage. He is described as having a criminal history with 10 prior convictions for matters including violence, drugs and weapons.

Numbers And Evidence

The sums in this case are specific. Roughly $589,508 in crypto was reportedly moved from the victim’s accounts — the combined total of the Bitcoin and USDT transfers.

When the watch and cash are added, the financial loss approaches the headline figure of $600K that circulated in early reports.

Crypto-analytics sources tracking physical attacks on holders listed this event among confirmed “wrench” style assaults; one count put it as the 52nd such physical attack recorded in 2025.

Phone calls allegedly made after the assault pressured the victim for more coins and included threats to “find” family members if demands were not met.

Featured image from Vecteezy, chart from TradingView