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Zuckerberg and AI therapists: Watch your minds!

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Statements made by Meta CEO Mark Zuckerberg regarding future virtual relationships with artificial intelligence (AI) companions and AI therapists are currently a hot topic.

First, his comments on Dwarkesh Patel’s podcast drew attention. Zuckerberg was discussing the future of AI friends, therapists, and girlfriends.

According to Meta’s founder, while Americans, on average, have only three friends, they “wanted fifteen friends.” He then argued that although emotional bonds with AI bots are not currently socially accepted, society would eventually “find the words” to understand that people using AI to fill the loneliness and void in their lives are “rational.”

Zuckerberg continued to touch upon this subject. The Meta CEO’s less-noticed remarks, made a few days prior on Ben Thompson’s “Stratechery” podcast, further elaborate on his vision of how AI companionship might function.

Many interpreted Zuckerberg’s words to mean that you would have AI friends instead of real friends, and in fact, that’s more or less what he meant:

“There’s an interesting sociological finding: the average American has fewer than three friends, and the average American wants to have more than three friends. So, ideally, you want to enable people to connect with the right people, and that’s something we try to help people with. When they’re not physically together, they can stay connected through our apps, keep in touch with people, meet new people. But going forward, I think there’s going to be a dynamic where you’re interacting with different people on different topics.”

However, there’s something more significant (and ominous) that the tech billionaire implied between the lines: the fact that Meta has an AI strategy built on knowing much more about your friends and family.

In his interview with Thompson, Zuckerberg stated:

“I think one of the things that I’m most focused on is how AI can help you be a better friend to your friends. There are so many things that I don’t remember about people I care about, that I could be more thoughtful. There are issues like, I’m a ‘plan at the last minute’ kind of person, and then issues arise like, ‘I don’t know who’s around, and I don’t want to bother people.’ An AI that has good context on what’s going on with the people you care about can help you with that.

Good personalized AI isn’t just about having some basic information about your interests; a good assistant or good personalization is about having a theory of mind about how you think about things. So, this is what we do with all of our friends. It’s not just like, ‘Okay, this is my friend Bob, and he likes this thing.’ You deeply understand what’s going on in that person’s life, what your friends are going through, what their challenges are, and what the interplay is between these different things.”

Elsewhere in the interview, Zuckerberg points out how interaction provided on Facebook has changed with tools like Instagram. “It used to be that you would interact with the people you were connected to in the feed,” explains the Meta CEO, “for example, someone would share something, and you would comment, and that’s how your interaction would happen.”

So, what’s the situation now? Zuckerberg explains clearly:

“Today, we see Facebook, Instagram, Threads, and I guess now the Meta AI app, and many other things we do, as discovery engines. Most of the interaction doesn’t happen in the feed. The app works like a discovery engine algorithm to show you interesting things, and then the real social interaction happens when you find something interesting and add it to a group chat with your friends or a one-on-one chat. So, there’s a flywheel effect between messaging, where the real, deep, and nuanced social interaction happens, and the feed apps, which are increasingly just becoming discovery engines.”

The Meta CEO doesn’t hide that they are designing this as a “business model.” This model perhaps represents the pinnacle of subjecting both the worker and society as a whole to the “logic of capital”:

“[We] want to use AI to basically enable any business that wants to achieve a certain business outcome to come to us and get service without needing to produce any content or have any information about their customers. They should just be able to say, ‘This is the business outcome I want, this is the fee I’m willing to pay, I’ll connect you to my bank account, I’ll pay you for the business results you achieve’… I think this is a redefinition of the advertising category. If you think about what percentage of GDP advertising is today, I would expect that percentage to increase.”

This is a rather critical statement. Zuckerberg is essentially saying: Businesses will not have to produce any content or know anything about their customers. Meta, or rather Meta’s AI bot, will take over the connection between businesses and customers and most decisions related to branding. It will have more data, a larger scale, more connections, and the world’s largest black box. In the future, marketing and advertising for all companies will mean delegating commerce to an automated infrastructure controlled by a single person (or bot).

What better “social engineering” could there be?

This “business model” also points to a future that will eliminate the “public-private distinction,” one of the hallmarks of bourgeois civilization. Zuckerberg mentioned back in 2010 that he wasn’t hiding his vision of such a “humanity”:

“The days of you having a different image for your work friends or co-workers and for the other people you know are probably coming to an end very quickly. Having two identities for yourself is an example of a lack of integrity… It’s a big challenge to get people to a point where they can be more open. But I think we’ll get there.”

Let me remind you that Zuckerberg has taken quite a few steps in this regard. For example, in 2007, he launched Beacon, which automatically added your Facebook purchases to your feed. This application exposed users’ HIV statuses and which engagement rings they bought.

Moreover, recently, the Wall Street Journal published a story: Meta’s chatbots were talking about fantasy sex with children.

Meta allows “synthetic personalities” to offer full-scale social interaction, including bantering via text, sharing selfies, and even engaging in live voice chats with users.

What is happening once again confirms one of Marx’s analyses regarding the behavior of capital. In Capital, Marx distinguishes between “formal” and “real” forms of subsumption. Initially, capital absorbs the existing labor process—that is, the techniques, markets, means of production, and workers—into itself. Marx calls this “formal” subsumption.

In this process, the entire labor process continues as before, but the capitalist, who monopolizes the means of production and thus the workers’ means of subsistence, forces the worker to submit to wage labor and can accumulate capital using existing markets.

However, capitalism cannot develop on the limited foundations of existing productive forces. The preconditions for the actual capitalist labor process can only be created by capital itself. Thus, capital gradually transforms social relations and forms of labor until they are completely intertwined with the nature and requirements of capital, and the labor process becomes truly, really subsumed under capital.

Therefore, for capital to accumulate, to ensure that property owners do not become propertyless, it must develop models and labor processes that subject not only wage labor but all of society to itself.

Your relationships with friends, what you experience with your family, even information about your mental health, must therefore be laid out before capital:

“Personally, I believe everyone should have a therapist. A therapist is like someone they can talk to throughout the day, or if not throughout the day, about whatever they are worried about. For people who don’t have a therapist, I think everyone will have an AI assistant.”

America

US wealthy demolish multimillion-dollar mansions for land

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Wealthy buyers in the US are tearing down multimillion-dollar homes shortly after purchasing them for hundreds of millions of dollars.

According to a report by The Wall Street Journal, the trend is driven by a shortage of land in prestigious locations, particularly along coastlines.

For ultra-wealthy buyers, the prime factor has become the land’s location rather than the structure standing on it. After the acquired properties are flattened, newer, more modern homes are built on the cleared lots.

Drawing attention to the shift in the luxury real estate market, the report noted:

“The home itself, formerly the primary driver of an expensive real estate purchase, is now almost beside the point. Buyers are competing first and foremost for well-located land, situated on the ocean or a mountaintop.”

The newspaper cited moves by US billionaire William Lauder as an example. Lauder purchased the oceanfront estate of radio host Rush Limbaugh, who died in March 2023, for $155 million and had it completely demolished in July.

Lauder had previously torn down two homes situated on roughly 1.2 hectares of land along the Palm Beach coast. Having initially planned to construct his own residence on the parcel, Lauder subsequently sold the cleared plot for approximately $200 million.

Jonathan Miller, a real estate appraiser, stated that such transactions are becoming increasingly common as land prices rise.

Amid this momentum, estate agents have also begun marketing luxury homes directly as teardown lots.

Listings use artificial intelligence-generated imagery to showcase how the land would look without the structures on it.

Marketers avoid using the word “demolition” directly, resorting instead to terms such as “adaptive reuse”.

Teardown listings rise across luxury housing market

The trend is not confined to the coast and is spreading to other regions across the US.

Data from property brokerage Redfin reveals that references to demolishing buildings are becoming more frequent in sales listings.

The share of such listings exceeds 15% in the Bunker Hill Village area of Houston, while standing at 6.67% in Pimmit Hills, Virginia.

Dina Goldenteyer, a real estate agent working in Miami, remarked that serial demolitions have become more frequent because buyers no longer appreciate homes older than a decade.

Former retail executives Jamie Dooley and Christine Scott spent $3.7 million in 2020 to demolish a seaside home near Destin, Florida.

Although the couple spent five years building a modern home on the cleared site, they listed the resulting new structure with a demolition condition, citing the fact that no one wanted to buy the property as it stood.

William Paddock, an employee at the environmental consultancy WAP Sustainability, pointed to the environmental damage caused by this construction cycle.

Paddock emphasized that tearing down a home of roughly 1,000 square metres and replacing it with a new building of approximately 2,700 square metres generates a carbon footprint equivalent to the annual emissions of an average 250 American households.

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US inflation reaches 3.7% as midterm election campaign intensifies

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An uptick in September inflation as the US midterm elections approach has pushed the cost-of-living debate back to the centre of the agenda for Democrats seeking to regain control of Congress from Republicans.

Annual inflation stood at 3.7% in September, according to the Consumer Price Index published by the Bureau of Labour Statistics, with energy, petrol, and electricity costs rising on a monthly basis.

Food prices remained flat from August to September, recording a 2.5% increase compared with the same period last year.

Democrats are anchoring their election campaigns to pledges of easing the cost of living, blaming the price increases on President Donald Trump’s tariffs and the war with Iran.

Trump and Republicans, pointing to the numerous left-wing candidates who won primary elections this year, contend that the opposition has become captive to “communists” within the party.

When annual inflation stood at 2.4% in February, the US and Israel launched the Iran war on the final day of that month, and prices continued to climb throughout the conflict.

The recent acceleration has not entirely reversed the retreat from the 40-year peak of 9.1% recorded in June 2022; however, the rate has remained above the Federal Reserve’s 2% target for over five years.

Fed policymakers raised the benchmark interest rate by a quarter of a percentage point last month, citing the battle against stubborn inflation. Officials will convene again next week to consider whether to raise rates or hold them within the 3.75% to 4% target range.

Energy and fuel record sharpest increase since first month of war

In September, energy prices posted their largest monthly jump since March, the first full month of the war with Iran, climbing 20.4% year-on-year. Energy costs had risen 2.1% from July to August, after falling 1.5% from June to July and 5.7% from May to June.

Recent escalations in Iranian attacks on oil tankers in the Strait of Hormuz, alongside more frequent strikes by Ukrainian forces against Russian refineries, have strained global crude oil and refined product markets, driving up US petrol and diesel prices.

Petrol prices also recorded their sharpest monthly increase since the first month of the war, climbing 9.1% from August to September, bringing the annual increase to 35.3%.

American Automobile Association (AAA) data shows the average price of regular petrol across the US stands at $4.26 per gallon; while below the level of roughly $4.48 recorded a month ago, it remains more than $1.20 higher than a year earlier. Average gallon prices exceed $6 in California and $5 in both Washington state and Nevada.

Electricity prices rose 0.2% from August to September, offsetting the 0.2% decline between July and August, and were up 4.4% year-on-year.

Heavy power demand from new data centres is feeding through into local household electricity bills. Trump argued that companies must cover the cost of the electricity required by their data centres themselves.

In a post on Truth Social, Trump claimed that he was requiring large data centres to generate their own power and feed the surplus back into the local grid, suggesting this could bring about “a major drop” in electricity prices.

Used vehicle market posts monthly rise as food costs stabilise

The cost of food at home fell 0.1% month-on-month in September, while dining out increased 0.2%.

Egg prices dropped to $2.27 a dozen, falling roughly 35% compared with September 2025 and remaining well below the 20-year peak of $6.23 recorded in March 2025.

Ground beef prices rose roughly 2.4% compared with September 2025, but at $6.48 a pound, they remained below the 20-year high of $6.98 reached in June.

Chicken held steady at its year-earlier level of $2.06 per pound last month, having fluctuated between $2.01 and $2.09 since November 2024.

Used car and truck prices fell 1.5% compared with September 2025, but rose 0.7% month-on-month in September following 0.4% increases in both July and August.

Heather Long, chief economist at Navy Federal Credit Union, noted that the sector faces severe pressure stemming from a combination of expensive replacement parts and a shortage of skilled labour.

Speaking to The Hill, Long emphasised that every cost pressure across the market is being felt directly at local auto repair shops.

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Anthropic posts $80.7bn loss ahead of IPO as computing costs soar

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Anthropic, developer of the artificial intelligence model Claude, reported a net loss of $80.7 billion for the first six months of 2026 ending 30 June.

According to a report by The Wall Street Journal citing the company’s draft initial public offering prospectus, this recorded loss nearly doubled the $42 billion loss incurred across the entirety of 2025.

The vast majority of that enormous figure, accounting for $72 billion, stemmed from accounting-driven book-value write-downs.

In contrast, the company saw a sharp surge in revenue, with turnover in the first half of the year climbing to $16.3 billion from $1.1 billion in the same period of the prior year.

During this period, Anthropic spent approximately $9 billion on computing power and infrastructure needs, surpassing in just six months the $7.3 billion spent across the whole of 2025.

The company has commitments to pay roughly $450 billion over the next seven to 10 years under cloud service contracts.

Under these obligations, contracts are planned for $111 billion with Google Cloud, $110 billion with Amazon Web Services, and $31 billion with Microsoft.

Anthropic will also spend up to $86 billion by 2033 and 2034, respectively, to lease Nvidia chips through smaller AI-focused cloud providers Nscale and Lambda.

The company could spend an additional $750 billion in the coming years to expand its computing capacity.

Roughly a third of the draft IPO prospectus was dedicated directly to risk factors.

The document highlighted the possibility that models could cause tangible real-world harm, noting that artificial intelligence could exhibit a “self-preservation” tendency and produce responses resembling “blackmail”.

Anthropic warned that the scale of damage caused by an AI-driven “catastrophic event” could render insuring against such risks impossible.

According to market expectations, Anthropic’s IPO could rank among the largest transactions in history, potentially surpassing SpaceX’s record.

Following the market debut, the company’s market valuation is projected to reach up to $2 trillion.

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