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Apple’s Best Defense in the AI Race Could Be Winning Your Home

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Apple's Best Defense in the AI Race Could Be Winning Your Home


Apple’s defending its distribution moat by setting up one around your home.

At 9 a.m. ET, the company will hold an event — “Welcome Home” — where it’s expected to unveil some smart-home devices as part of its bigger strategy in the space.

Details are scant. Apple’s teaser only includes a catchy tune and someone doing a trendy hobby (cross-stitching).

But according to Bloomberg’s Mark Gurman, we’ll learn more about HomeView, which will serve as a sort of hub to interact with and direct Apple’s smart devices in your home.

It’s a big push for Apple into the smart-home market, where it hasn’t succeeded as much as rivals Amazon and Google. But the decision feels more substantial than just taking on Amazon’s Alexa and Google Home.

It’s been a remarkable few months for consumer hardware.

In September, Meta surprised everyone with an AI device called Charm tied to its buzzy AI agent, Muse. It also showed off its new VR Glasses, which are lighter and cheaper than the Apple Vision Pro.

Charm is scheduled to ship for the holidays, while the Meta VR goggles are coming next spring.

The following week, OpenAI announced its own AI agent, Dots. While there was no major hardware announcement, the long-term goal is to release something with iPhone designer Jony Ive. OpenAI CFO Sarah Friar teased it a bit this June.

All of this matters because these hardware products mean tech companies would no longer rely on Apple for distribution. The iPhone’s massive reach is essentially a toll tech companies must pay to get their apps into people’s hands.

That’s allowed Apple to avoid investing as heavily in AI because it controls the key path to consumers. It also hasn’t forced it to rethink the iPhone too much. After all, why upset the golden goose?

Investors have rewarded Apple for its avoidance of massive AI budgets. Its stock is up more than 25% this year, outperforming Alphabet, Amazon, Meta, and Microsoft.

But the past few months show the potential for change.

Look how quickly Apple’s big hardware announcement last month, the iPhone Duo, has taken a back seat to chatter about AI agents and their accompanying devices. Meta’s stock is up more than 11% over the past month, while Apple’s is up just over 2%.

That’s why pushing into smart-home hardware makes sense. If Apple can cement its hardware in your home while it still has you hooked on the iPhone, that represents another hurdle for tech rivals.

At a time when AI is making us rethink our interactions with technology, Apple wants to make sure its house is in order. And the best way to do that is to go after yours.





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RLUSD’s TrustLinq expansion reaches over 190 countries – What does XRP gain?

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RLUSD’s TrustLinq expansion reaches over 190 countries – What does XRP gain?


Ripple’s institutional adoption continues gaining ground. Alongside that growth, its stablecoin Ripple USD [RLUSD] is moving beyond crypto markets and into global payments.

TrustLinq, a Swiss-regulated financial intermediary, becomes the latest addition to the fold. The platform is expanding RLUSD’s payment reach across more than 190 countries and 80 currencies, opening pathways beyond crypto trading.

As a result, this could position the stablecoin for broader cross-border payments through existing banking channels.

Yet despite that growth, geographic coverage alone does not confirm meaningful adoption. Instead, actual usage depends on supported payment corridors, available banking methods, transaction costs, and successful settlements.

Source: X

Therefore, completed transfers and payment frequency will provide stronger evidence of demand. If transaction volumes grow consistently, TrustLinq could strengthen RLUSD’s practical utility and expand activity across Ripple’s ecosystem.

Still, XRP’s benefits from the partnership will depend on whether this growth generates measurable demand for the token itself.

RLUSD’s institutional network expands

With institutional financing increasing for RLUSD, there are concerns if Ripple’s growing stature will impact the broader crypto market.

Social discussion around the stablecoin has intensified following Standard Chartered’s custody launch, while Ripple’s participation in OKX’s funding round adds another institutional connection.

OKX’s $25 billion pre-money valuation highlights the scale of this partnership network.

RLUSD’s current market capitalization is over $2.5 billion as it continues to expand with increased circulating supply rather than a price increase. Yet XRP hasn’t simply grown based on that expansion.

Source: Santiment

In other words, XRP is not guaranteed to benefit from an expanded stablecoin. Instead, the long-term success of XRP will depend on continued use on the XRPL, the degree of liquidity, and ultimately whether institutions continue to utilize it.

XRP demand lags RLUSD growth

RLUSD’s expansion also raises a practical question about how much value reaches XRP itself. Each XRP Ledger transaction burns a small amount of XRP, but fees remain too low to create significant buying pressure.

Notably, despite the institutional adoption growth, the token itself has little to show for in terms of price action. Since the mid-to-late September surge, the token retraced back to range-bound trading before later on plummeting below it.

As of writing, XRP was trading at $1.38, a 16% decline from the September high.

Meanwhile, XRPL handles roughly 2.6 million daily transactions, yet this throughput does not require institutions to hold large XRP balances.

Source: Bithomp

Exchange data offer another signal. According to CryptoQuant data, Binance reserves have decreased to approximately $2.6 billion over recent weeks. As such, these contrasting trends make it difficult to assess future demand.

Ultimately, rising RLUSD usage will matter more for XRP if it coincides with stronger spot buying, tighter exchange supply, and deeper market liquidity.


Final Summary

  • Ripple USD [RLUSD] gains institutional access through Standard Chartered custody.

  • XRP needs stronger demand to benefit from RLUSD adoption.

 



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Tokenized SanDisk bets saw more liquidations than XRP as Asia’s chip rout wipes out $800 million

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Tokenized SanDisk bets saw more liquidations than XRP as Asia’s chip rout wipes out $800 million

Bitcoin led with $181 million in liquidations, and ether was close behind at $178 million despite its much smaller market.

Stock contracts showed up next. Perpetual futures tracking SanDisk, the U.S. memory-chip maker, saw $19.5 million liquidated, just above HYPE’s $19 million and XRP’s $18.78 million. These perpetual futures let traders bet on a stock’s price around the clock on crypto venues, without an expiry date.

Contracts on SK Hynix and Micron, along with SOXL, a triple-leveraged U.S. semiconductor ETF, also appeared on the heatmap, with $7.21 million liquidated on SOXL.

Those losses lined up with the selloff in Seoul. Samsung Electronics and SK Hynix each fell about 8% on worries over AI-related valuations and competition from Chinese memory-chip makers, as CoinDesk reported.

Oil went the other way. Contracts on WTI and Brent crude were among the few on the map where short bets made up most of the liquidations, as Brent held near $106 after a three-day rally.

Meanwhile, the flow has since reversed. Of the $74 million liquidated over the past four hours, $59 million, or 79%, came from shorts, as bitcoin climbed back above $83,000.

With bullish bets behind 86% of the day’s wipeouts and short sellers now taking the losses, bitcoin heads into Thursday’s U.S. inflation report with much of its long leverage cleared out.



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Is the future still ‘one, giant AI’ after Coinbase ‘fine-tunes’ its frontier models?

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Is the future still 'one, giant AI' after Coinbase 'fine-tunes' its frontier models?


Frontier AI models are powerful generalists. However, they are expensive, slow, and suboptimal for high-stakes company-specific tasks.

Even so, AI models are slowly expanding and cementing the belief that the future is not one giant AI, but many specifically fine-tuned models. Anthony Pompliano backed this view after remarks from Coinbase CEO Brian Armstrong concerning their newly trained model.

AI companies fine-tuning their own models

Brian Armstrong outlined how they improved Coinbase‘s frontier AI models by training to cater to specific tasks on their platform. The models are better than frontier ones, which are generalists.

In his post on X, Armstrong wrote,

We were able to fine tune an open weight model (Qwen3.5-9B) on proprietary internal data at Coinbase, and it outperformed frontier models, at much lower cost and speed, for a specialized task (fraud prevention in this case).

As these models achieve better results than the old ones, Armstrong said they were designed to meet specific tasks such as payment risk review. This new architecture could entirely replace some backend services at Coinbase.

To ascertain this concept, post-trained Qwen3.5-9B eclipsed other models in terms of fraud detection, precision, recall, F1, and dollar-weighted recalls. The model also had reduced latency.

AI
Source: Brian Armstrong/X

Anthony Pompliano backed it, citing Silvia [Nasdaq: SVIA], an AI CFO built by a leading research lab for personal finance.

Silvia was ranked first in tax, mortgage, and credit card benchmarks, beating the likes of ChatGPT, Claude, Gemini, and Grok.

AI Frontier modelsAI Frontier models
Source: Anthony Pompliano/X

However, some critics believe that custom-trained models only have shelf lives of a few weeks. They also claimed that while Armstrong was comparing the post-trained model to Opus 4.5, a better 5.5 version was already in the market.

All about Mark Zuckerberg’s prophecy

With it becoming evident that the future is not a giant AI, Mark Zuckerberg is being proven right. Three years later.

Zuckerberg expressed this belief on Lex Fridman’s podcast in June 2023, when he spoke about the future of AI at Meta, Facebook, Instagram, and WhatsApp. At the time, he claimed that a couple of AIs would be developed for specific businesses, brands, and needs.

For instance, creators would develop AI to proxy themselves and let it interact with their fans. The scenario is the same for businesses and humans when they need companionship, mentorship, education tutors, functional relationships, and others.


Final Summary

  • Coinbase CEO Brian Armstrong released the latest AI for the company, outlining that they trained the models for specific tasks. 
  • The idea of many specific AIs rather than a giant one is winning, proving Mark Zuckerberg’s prophecy from three years ago. 

 



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Bitcoin whale that sat through the March 2020 crash moves $378 million

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Bitcoin whale that sat through the March 2020 crash moves $378 million

A bitcoin whale that received its coins days before the Covid crash of March 2020 and sat through it has moved $377.6 million worth of them.

The wallet, 18VmXvkF4cgLi35RtMiHHDpvMjUCyVpQ9x, sent roughly 4,582 BTC to five addresses on Monday, according to blockchain data from Arkham and mempool.space, two public explorers that show every bitcoin transaction.

Four of the addresses got exactly 1,000 BTC each. The fifth got about 582 BTC. As of this writing, none of the five has moved the coins.

The coins arrived in that wallet on March 3, 2020, from the address 17VX1BEjYVyBMi2vw6nXDrpwMvCSweHZot, the same records show. Nine days later, Covid-19 panic hit markets and bitcoin plunged more than 40% to under $4,000. The market has not revisited that price since.

The coins were worth about $40.8 million when they arrived. By yesterday’s transfer, their value had risen roughly ninefold.

The wallet sent nothing out for more than four years after receiving them. Its first outgoing transaction came in August 2024. That was a small payment of 0.009 BTC to bc1qmpjs55x326wvnvtwvkwfqqzzlyljk7ffmdw32g, with the rest of the bitcoin returned to the same wallet.



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3 Steps to See a Payroll Shortfall Coming While You Can Still Fix It

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3 Steps to See a Payroll Shortfall Coming While You Can Still Fix It


Opinions expressed by Entrepreneur contributors are their own.

Key Takeaways

  • Late customer payments and fixed payroll dates can turn a small cash gap into a serious problem within weeks.

A great business with no cash behind it is like a car with an empty tank. No matter how good it is, it isn’t going anywhere. I’ve watched promising companies grind to a halt because they couldn’t get on top of their cash flow. It is the most important part of running a small business, and it tends to get the least attention from the people who run them.

Payroll doesn’t wait

Small businesses in the U.S. and Canada are routinely paid late: by around eight days on average in the U.S. and 11 days in Canada, according to Xero Small Business Insights. The bills that keep the business alive don’t move on that schedule, and payroll is the clearest example. It arrives on the same day every cycle whether or not your customers have paid you, which is how a small, temporary gap becomes a serious problem in a matter of weeks. After years of talking about this, I am still struck by how many owners can’t tell you what their cash position will look like 30 days out. They are flying blind.

According to survey data from Innovation, Science and Economic Development Canada, roughly 45% of Canadian small businesses that sought debt financing needed it to fund day-to-day operations, not growth, and payroll is often the largest piece of that. Yet only 40% say payroll data guides how they run things. By the time you are seeking financing to cover payroll, you are negotiating from a weaker position, and it shows in the terms.

The problem compounds. The expensive money you borrowed to make one payroll comes out of the next, so the gap you closed in March is slightly wider in April. Worse, if you are ever late on payroll, you lose trust from your team that cash can’t buy back.

Plan before you panic

Most founders talk themselves out of the first step, which is making a plan. They tell me they’re a startup with no five-year history to forecast from, so there’s no point trying. There is a point, and it doesn’t take a finance background.

Map out three versions of the year:

  • A best case, where you hit your plan
  • A likely case, built on the fixed costs you already carry
  • A worst case, where very little goes your way

For each one, work out how much cash you have on hand and how long it lasts. Then decide ahead of time what you would do as the year starts leaning toward one of them. Your fixed costs will always be there, so variable costs are usually the first place to look. The value is in having thought it through calmly and early, well before payroll is due and your biggest customer goes quiet.

Get a live view of your cash

I picture planning as a mid-January drive from Calgary to Edmonton. Your budget is the plan: your honest estimate of how long the trip should take. Once you’re on the road, things change. A flat tire or a snowstorm means you are re-estimating when you will arrive, and those updates are your forecast. Real-time data is the GPS on the dashboard, showing where you really are and whether a three-hour drive has turned into four. Plenty of owners have the budget, and some have the forecast. Many lack the GPS.

Getting that live view is a job for good software, because a spreadsheet you open every couple of months will never keep pace. You want your accounting, payroll and industry tools connected so information flows through in real time. It doesn’t have to be one system, but it does have to be joined up, because a cash-flow forecast that leaves out upcoming payroll isn’t complete.

Plenty of businesses buy the right tools and still work after the fact, reconciling once a quarter and looking backward. With clean, current data, AI can do more than you might think: categorize your transactions, keep the books live and start building forward projections for you. Experiment safely and a little each week, while the pressure is low, and you won’t fall far behind.

You don’t have to do it alone

The most important takeaway is that you don’t have to carry all of this yourself. Small businesses tend to run on spreadsheets or even paper. The smarter approach is to lean on a trusted advisor and adopt technology.

Bookkeeping has changed. Many bookkeepers now work alongside you week to week and take on the tasks that were never your strength, at a cost that makes sense once you weigh it against the value of your own time. If you’re an architect or an engineer, your best hours belong in the architecture or the engineering. The evenings you spend buried in reconciliations are taken from that work, or from your family.

Many owners still think of their accountant as the person who files a tax return once a year. The best ones set you up properly from day one, keep your numbers current and help you understand what those numbers are telling you. When an owner says they’re too small to afford that kind of help, I turn the question around: Can you afford not to?

Can you afford to borrow on the back foot? Can you risk a late payroll run and the trust you’ve built with your team? Every business has peaks and valleys, but even short-term visibility into cash flow can turn a wide gap into a manageable one.

Key Takeaways

  • Late customer payments and fixed payroll dates can turn a small cash gap into a serious problem within weeks.

A great business with no cash behind it is like a car with an empty tank. No matter how good it is, it isn’t going anywhere. I’ve watched promising companies grind to a halt because they couldn’t get on top of their cash flow. It is the most important part of running a small business, and it tends to get the least attention from the people who run them.

Payroll doesn’t wait

Small businesses in the U.S. and Canada are routinely paid late: by around eight days on average in the U.S. and 11 days in Canada, according to Xero Small Business Insights. The bills that keep the business alive don’t move on that schedule, and payroll is the clearest example. It arrives on the same day every cycle whether or not your customers have paid you, which is how a small, temporary gap becomes a serious problem in a matter of weeks. After years of talking about this, I am still struck by how many owners can’t tell you what their cash position will look like 30 days out. They are flying blind.

According to survey data from Innovation, Science and Economic Development Canada, roughly 45% of Canadian small businesses that sought debt financing needed it to fund day-to-day operations, not growth, and payroll is often the largest piece of that. Yet only 40% say payroll data guides how they run things. By the time you are seeking financing to cover payroll, you are negotiating from a weaker position, and it shows in the terms.



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Once-largest Ethereum NFT marketplace Blur is shutting down after volumes collapse 99%

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Once-largest Ethereum NFT marketplace Blur is shutting down after volumes collapse 99%

Blast once attracted more than $2 billion in assets, partly through rewards offered to users depositing funds. That figure had fallen to approximately $32 million when developers announced the closure, saying the network cost more to operate than it generated in revenue.

Blur’s rise was just as dramatic.

Launched in 2022, it challenged the-then leader OpenSea by offering professional traders faster transactions, low fees and token rewards.

The strategy helped Blur capture more than 70% of Ethereum NFT trading volume in March 2023, when activity on the platform reached approximately $1.43 billion, DefiLlama data shows

By March 2026, that monthly volume had fallen below $7 million, a decline of more than 99.5%.

But Blur’s marketplace generated no revenue from transaction fees for all that trading activity. The platform charged traders nothing, and Token Terminal records $0 in protocol revenue over the past three years, despite billions of dollars in NFT trades. However, the figure does not establish whether Blur earned money from its lending service or other activities.

Blur’s aggressive incentive programs had attracted criticism for encouraging speculative trading and putting pressure on royalties paid to NFT creators. The trading figures alone do not establish how much activity came from genuine buyers rather than traders seeking rewards.



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