Ice Lounge Media

Ice Lounge Media

Last week, the Florida-based company Lonestar Data Holdings launched a shoebox-size device carrying data from internet pioneer Vint Cerf and the government of Florida, among others, on board Intuitive Machines’ Athena lander. When its device lands on the moon later this week, the company will be the first to explicitly test out a question that has been on some technologists’ minds of late: Maybe it’s time to move data centers off Earth?

After all, energy-guzzling data centers are springing up like mushrooms all over the world, devouring precious land, straining our power grids, consuming water, and emitting noise. Building facilities in orbit or on or near the moon might help ameliorate many of these issues. 

For Steve Eisele, Lonestar’s president and chief revenue officer, a big appeal of putting data storage on the moon is security. “Ultimately, the moon can be the safest option where you can have a backup for your data,” Eisele says. “It’s harder to hack; it’s way harder to penetrate; it’s above any issues on Earth, from natural disasters to power outages to war.”

Lonestar’s device is equipped with eight terabytes of storage, about as much as a high-end laptop. It will last for just a couple of weeks before lunar night descends, temperatures plummet, and solar power runs out. But the company expects that to be enough time to test practicalities like downloading and uploading data and verifying secure data transfer protocols.

And it has bigger plans. As early as 2027, the company aims to launch a commercial data storage service using a bunch of satellites placed in the Earth-moon Lagrange point L1, a gravitationally stable point 61,350 kilometers above the moon’s surface. There, the spacecraft would have a constant view of Earth to allow continuous data access.

Other companies have similar aspirations. The US space company Axiom, best known for organizing short trips to the International Space Station for private astronauts, intends to launch a prototype server to the station in the coming months. By 2027, the firm wants to set up a computing node in low Earth orbit aboard its own space station module. 

A company called Starcloud, based in Washington state, is also betting on the need to process data in space. The company, which raised an $11 million round in December and more since then, wants to launch a small data-crunching satellite fitted with Nvidia GPUs later this year. 

Axiom sees an urgent need for computing capacity in space beyond simply providing an untouchable backup for earthly data. Today’s growing fleets of Earth- and space-observing satellites struggle with bandwidth limitations. Before users can glean any insights from satellite observations, the images must be downlinked to ground stations sparsely scattered around the planet and sent over to data centers for processing, which leads to delays.

“Data centers in space will help expedite many use cases,” says Jason Aspiotis, the global director of in-space data and security at Axiom. “The time from seeing something to taking action is very, very important for national security and for some scientific applications as well. A computer in space would also save costs that you need to bring all the data to the ground.”

But for these data centers to succeed, they must be able to withstand harsh conditions in space, pull in enough solar energy to operate, and make economic sense. Enthusiasts say the challenges are more tractable than they might appear—especially if you take into account some of the issues with data centers on Earth.

Better in space?

The current boom in AI and crypto mining is raising concerns about the environmental impact of computing infrastructure on Earth. Currently, data centers eat up around 1% or 2% of the world’s electricity. This number could double by 2030 alone, according to a Goldman Sachs report published last year. 

Space-tech aficionados think orbiting data centers could solve the problem.

“Data centers on Earth need a lot of power to operate, which means they have a high carbon footprint,” says Damien Dumestier, a space systems architect at the European aerospace conglomerate Thales Alenia Space. “They also produce a lot of heat, so you need water to cool them. None of that is a problem in space, where you have unlimited access to solar power and where you can simply radiate excess heat into space.”

Dumestier, who led an EU-funded study on the feasibility of placing large-scale IT infrastructure in Earth’s orbit, also sees space as a more secure option than Earth for data transportation and storage. Subsea fiber-optic cables are vulnerable to sabotage and natural disasters, like the undersea volcanic eruption that cut Tonga off from the web for two weeks.

High above Earth, data centers connected with unhackable laser links would be much harder to cut off or penetrate. Barring antisatellite missiles, space-based nuke explosions, or interceptor robots, these computing superhubs would be nigh untouchable. That is, except for micrometeorites and pieces of space debris, which spacecraft can dodge and, to some extent, be engineered to withstand. 

Outside of Earth’s protective atmosphere, the electronic equipment would also be exposed to energetic particles from the sun, which could damage it over time. Axiom plans to tackle the problem by using hardened military equipment, which Aspiotis says survives well in extreme environments. Lonestar thinks it could avoid the harsh radiation near the moon by ultimately placing its data centers in lava tubes under the lunar surface.

Then there is the matter of powering these facilities. Although solar power in Earth’s orbit is free and constantly available, it’s never previously been harvested in amounts needed to power data infrastructure at the scale existing on Earth. 

The Thales Alenia Space study, called ASCEND (an acronym for “advanced space cloud for European net zero emission and data sovereignty”), envisions orbiting data platforms twice as large as the International Space Station, the largest space structure built to date. The server racks at the heart of the ASCEND platforms would be powered by vast solar arrays producing a megawatt of power, equivalent to the electricity consumption of about 500 Western households. In comparison, the solar panels on the ISS produce only about one-quarter that amount—240 kilowatts at full illumination.

Launch costs—and the environmental effects of rocket launches—also complicate the picture. For space-based data centers to be an environmental win, Dumestier says, the carbon footprint of rocket flights needs to improve. He says SpaceX’s Starship, which is designed to carry very large loads and so could be cheaper and more efficient for each kilogram launched, is a major step in the right direction—and might pave the way for the deployment of large-scale orbital data centers by 2030. 

Aspiotis echoes those views: “There is a point in the not-too-distant future where data centers in space are as economical as they are on the ground,” he says. “In which case do we want them on the ground, where they are consuming power, water, and other kinds of utilities, including real estate?”

Domenico Vicinanza, an associate professor of intelligent systems and data science at Anglia Ruskin University in the UK, tempers the optimism, however. He says that moving data centers to space en masse is still a bit of a moonshot. Robotic technologies that could assemble and maintain such large-scale structures do not yet exist, and hardware failures in the harsh orbital environment would increase maintenance costs. 

“Fixing problems in orbit is far from straightforward. Even with robotics and automation, there are limits to what can be repaired remotely,” Vicinanza says. “While space offers the benefit of 24-7 solar energy, solar flares and cosmic radiation could damage sensitive electronic equipment and current electronics, from mainstream microchips to memories that are not built and tested to work in space.”

He also notes that any collisions could further crowd Earth orbit with space debris. “Any accidental damage to the data center could create cascading debris, further complicating orbital operations,” he says.

But even if we don’t move data centers off Earth, supporters say it’s technology we will need to expand our presence in space. 

“The lunar economy will grow, and within the next five years we will need digital infrastructure on the moon,” Eisele says. “We will have robots that will need to talk to each other. Governments will set up scientific bases and will need digital infrastructure to support their needs not only on the moon but also for going to Mars and beyond. That will be a big part of our future.”

Read more

Technological advances continue to move at breakneck speeds. While companies struggle through their digital transformation journeys, even more new technologies emerge, with promises of opportunity, cost savings—and added complexity. Many companies have yet to fully adopt AI and ML technologies, let alone figure out how newer technologies like generative AI might fit into their programs.

A 2024 IDC survey revealed 22% of tech leaders said their organizations haven’t yet reached full digital maturity, and 41% of respondents said the complexity of integrating new technologies and approaches with existing tech stacks is the biggest challenge for tech adoption.

To fuel successful technology adoption and maximize outcomes, companies need to focus on simplifying infrastructure architecture rather than how to make new technologies fit into existing stacks. “When it comes to digital transformation, choosing an architectural approach over a purely technology-driven one is about seeing the bigger picture,” says Rajarshi Purkayastha, the VP of solutions at Tata Communications. “Instead of focusing on isolated tools or systems, an architectural approach connects the dots—linking silos rather than simply trying to eliminate them.”

Establishing the robust global network most companies need to connect these dots and link their silos requires more capability and bandwidth than traditional networks like multiprotocol label switching (MPLS) circuits can typically provide in a cost-effective way. To keep pace with innovation, consumer demands, and market competition, today’s wide area networks (WANs) need to support flexible, anywhere connectivity for multi-cloud based services, remote locations and users, and edge data centers.

Understanding hybrid WAN

Traditional MPLS became the gold standard for most WAN architectures in the early 2000s to address the mounting challenges brought by the rapid growth of the internet and subsequent rapid expansions of enterprise networks. Today, as technological advances continue to accelerate, however, the limitations of MPLS are becoming apparent: MPLS networking is expensive; hard-wired connectivity is difficult to scale; and on its own, it doesn’t fit well with cloud computing adoption strategies.

In 2014, Gartner predicted hybrid WANs would be the future of networking. Hybrid WANs differ from traditional WANs in that the hybrid architecture facilitates multiple connection points: private network connections for mission-critical business, usually via the legacy MPLS circuits; and public network connections, typically utilizing internet connections such as 5G, LTE, or VPN, for less critical data traffic; and dedicated internet access (DIA) for somewhat critical traffic.

In 2025, we are seeing signs Gartner’s hybrid WAN prediction might be coming to fruition. At Tata Communications, for example, hybrid WAN is a key component of its network fabric—one facet of its digital fabric architecture, which weaves together networking, interaction, cloud, and IoT technologies.

“Our digital fabric simplifies the complexity of managing diverse technologies, breaks down silos, and provides a secure, unified platform for hyper-connected ecosystems,” explains Purkayastha. “By doing so, it ensures businesses have the agility, visibility, and scalability to succeed in their digital transformation journey—turning challenges into opportunities for innovation and growth.”

Hybrid WAN provides the flexible, real-time data traffic channeling an architectural approach requires to create a programmable, performant, and secure network that can reduce complexities and ease adoption of emerging technologies. “It’s not just about solving today’s challenges—it lays the groundwork for a resilient, scalable future,” says Purkayastha.

Benefits of hybrid WAN

Hybrid networking architectures support digital transformation journeys and emerging tech adoption in several ways.

More efficient, even intelligent, data trafficking. A hybrid architecture brings together multiple avenues of data flow from MPLS and internet connectivity, which provides highly flexible, resilient architecture along with increased bandwidth to decrease network congestion. It also allows companies to prioritize critical data traffic. Hybrid WANs can also combine the hyper-secure connectivity of MPLS with software-defined WAN (SD-WAN) technology, which allows for intelligent switching across a company’s information highways. If, for instance, one route encounters latency or malfunctions, that traffic will be automatically re-routed, helping to maintain continuous connectivity and reduce downtime.

Increased scalability. The agility and flexibility of a hybrid WAN allows companies to dynamically scale bandwidth up or down as application needs change. An agile WAN architecture also paves the way for scaling business operations.

Less complex cloud migration and easier adoption of new technologies. Adding internet connectivity to MPLS circuits allows for seamless data trafficking to the cloud, providing a more direct way for companies to transition to cloud-first strategies. Easing cloud migration also opens doors for emerging technologies like AI, generative AI, and machine learning, enabling companies to innovate to remain relevant in their markets.

Improved productivity. The internet speed and connectivity of a hybrid WAN keeps geographically separated company locations and remote workers connected, increasing efficiency and collaboration.

Easier integration with legacy systems. A hybrid approach allows legacy MPLS connections to remain, while offloading less sensitive data traffic to the internet. The ability to incorporate legacy applications and processes into a hybrid architecture not only eases integration and adoption, but helps to maximize returns on network investments.

Network cost savings. Many of the benefits on this list translate into cost savings, as internet bandwidth is considerably cheaper than MPLS networking. A reduction in downtime reduces expenses companywide, and the ability to customize bandwidth usage at scale gives companies more control over network expenses while maximizing connectivity.

Deploying a hybrid WAN

A recent collaboration between Air France-KLM Group and Tata Communications highlights the benefits a hybrid WAN can bring to a global enterprise.

Air France looked to increase its network and application performance threefold without incurring additional costs—and while ensuring the security and integrity of their network. A hybrid WAN solution—specifically, using MPLS and internet services from Tata Communications and other third-party providers—afforded the flexibility, resilience, and continuous connectivity they needed.

According to Tata Communications, the hybrid architecture increased Air France’s network availability to more than 99.94%, supporting its global office locations as well as their customer-facing applications, including passenger and cargo bookings and operating service centers.

“However, which connectivity to choose based on location type and application is complex, given the fact that networks vary by region, and one has to also take into account regulations, for e.g., in China,” says Purkayastha. “This is what Tata Communications helps customers with—choosing the right type of network, resulting in both cost savings and a better user experience.”

Enabling business for success

Innovating and expanding enterprise operations in today’s era of increasingly complex technology evolutions requires businesses to find agile and cost-effective avenues to stay connected and competitive.

As emerging machine learning and AI technologies aren’t likely to slow, hybrid network architectures likely are going to become necessary infrastructure components for companies of all sizes. The flexibility, resiliency, and configurability of a hybrid WAN provides a relatively straightforward, lightweight network upgrade to allow companies to focus on business objectives with less time and expense worrying about network reliability and reach. “At the end of the day, it isn’t just about technology—it’s about enabling your business to stay agile, competitive, and ready to innovate, no matter how the landscape shifts,” says Purkayastha.

Read more

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.

How DeepSeek became a fortune teller for China’s youth

As DeepSeek has emerged as a homegrown challenger to OpenAI, young people across the country have started using AI to revive fortune-telling practices that have deep roots in Chinese culture.

Across Chinese social media, users are sharing AI-generated readings, experimenting with fortune-telling prompt engineering, and revisiting ancient spiritual texts—all with the help of DeepSeek.

The surge in AI fortune-telling comes during a time of pervasive anxiety and pessimism in Chinese society. And as spiritual practices remain hidden underground thanks to the country’s regime, computers and phone screens are helping younger people to gain a sense of control over their lives. Read the full story.

—Caiwen Chen

Are you interested in learning more about DeepSeek? Read our stories:

+ How DeepSeek overcame US sanctions and managed to turn restrictions into innovation. Read the full story.

+ How DeepSeek ripped up the AI playbook—and why everyone’s going to follow its lead. The Chinese firm has pulled back the curtain to expose how the top labs may be building their next-generation models. Now things get interesting.

+ DeepSeek might not be such good news for energy after all. New figures show that if the model’s energy-intensive “chain of thought” reasoning gets added to everything, the promise of efficiency gets murky. Read the full story.

+ Three things to know as the dust settles from DeepSeek—and four other Chinese AI startups to keep an eye on.

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 A private lander has touched down on the moon
US startup Firefly is the second private company to land on lunar soil. (The Guardian)
+ The mission is part of NASA’s plans to lower costs via private enterprises. (NYT $)
+ Nokia is putting the first cellular network on the moon. (MIT Technology Review)

2 Donald Trump may create America’s first strategic crypto reserve  
Crypto champions believe it could finally lend the industry a sense of legitimacy. (CoinDesk)
+ But some Republican lawmakers worry it could put taxpayer funds at risk. (FT $)
+ Other crypto investors are pushing for the reserve to hold only bitcoin. (CNBC)
+ Meanwhile, Elon Musk is throwing his weight behind Dogecoin. (Ars Technica)

3 AI firms are racing to create cheaper models
And they’re pinning their hopes on a process called distillation to do just that. (FT $)
+ How DeepSeek ripped up the AI playbook—and why everyone’s going to follow its lead. (MIT Technology Review)

4 Amazon has lost its bid to escape regulatory oversight 
It’s been denied permission to skip permitting rules for a proposed data center. (WP $)

5 The US federal layoffs are bad news for aquatic ecosystems 
Firing wildlife workers could lead to an outbreak of parasitic lampreys, which wreak havoc on freshwater fish. (Ars Technica)
+ It’s just one of the many cuts that could make life in the US worse. (The Atlantic $)

6 Smart cameras can detect wildfires before they spread
They’re also adept at spotting blazes overnight. (WSJ $)
+ How AI can help spot wildfires. (MIT Technology Review)

7 Beware the creep of AI chatbots aimed at kids
They can’t be relied upon to always dispense correct information. (Insider $)
+ Some parents are teaching children how to use models safely. (The Guardian)
+ You need to talk to your kid about AI. Here are 6 things you should say. (MIT Technology Review)

8 RIP Skype
Microsoft is shutting it down in favor of Teams. (CNN)
+ You’ve got until May to decide what to do with your data. (The Register)

9 This artificial tongue could allow you to taste flavors in VR
Yum, tasty hydrogels. (New Scientist $)
+ The device helped volunteers taste coffee, fried eggs, and fish soup. (NYT $)

10 How social media drove a Japanese matcha shortage 🍵
The tasty green drink is a TikTok sensation. (Bloomberg $)

Quote of the day

“This is the real, actual revenge of the nerds.”

—Hasan Piker, an online political commentator, reflects on how DOGE feels like the culmination of Elon Musk’s eternally-online existence, the New York Times reports.

The big story

These artificial snowdrifts protect seal pups from climate change

April 2024

For millennia, during Finland’s blistering winters, wind drove snow into meters-high snowbanks along Lake Saimaa’s shoreline, offering prime real estate from which seals carved cave-like dens to shelter from the elements and raise newborns.

But in recent decades, these snowdrifts have failed to form in sufficient numbers, as climate change has brought warming temperatures and rain in place of snow, decimating the seal population.

For the last 11 years, humans have stepped in to construct what nature can no longer reliably provide. Human-made snowdrifts, built using handheld snowplows, now house 90% of seal pups. They are the latest in a raft of measures that have brought Saimaa’s seals back from the brink of extinction. Read the full story.

—Matthew Ponsford

We can still have nice things

A place for comfort, fun and distraction to brighten up your day. (Got any ideas? Drop me a line or skeet ’em at me.)

+ This behind the scenes look at how they created the podracing scenes in Star Wars: The Phantom Menace is remarkably cool.
+ Has Shrek had botox? Much to think about.
+ The largest live game of Dungeons and Dragons ever played looks incredible ($)
+ Five years ago in the UK, we collectively lost our minds.

Read more

In the glow of her laptop screen, 31-year-old Zhang Rui typed carefully, following a prompt she’d found on Chinese social media: “You are a BaZi master. Analyze my fate—describe my physical traits, key life events, and financial fortune. I am a female, born June 17, 1993, at 4:42 a.m. in Hangzhou.”

DeepSeek R1, China’s most advanced AI reasoning model, took just 15 seconds to respond. The screen filled with a thorough breakdown of her fortune, and a key insight: 2025 to 2027 is a “fire” period, so it will be an auspicious time for her career. 

Zhang exhaled. She had recently quit her stable job as a product manager at a major tech company to start her own business, and she now felt validated. For years, she turned to traditional Chinese fortune tellers before major life decisions, seeking guidance and clarity for up to 500 RMB (about $70) per session. But now, she asks DeepSeek. (Zhang’s birth details have been changed to protect her privacy.)

“I began to speak to DeepSeek as if it’s an oracle,” Zhang says, explaining that it can support her spirituality and also act as a convenient alternative to psychotherapy, which is still stigmatized and largely inaccessible in China. “It has become my go-to when I feel overwhelmed by thoughts and emotions.” 

Zhang is not alone. As DeepSeek has emerged as a homegrown challenger to OpenAI, young people across the country have started using AI to revive fortune-telling practices that have deep roots in Chinese culture. Over 2 million posts in February alone have mentioned “DeepSeek fortune-telling” on WeChat, China’s biggest social platform, according to WeChat Index, a tool the company released to monitor its trending keywords. Across Chinese social media, users are sharing AI-generated readings, experimenting with fortune-telling prompt engineering, and revisiting ancient spiritual texts—all with the help of DeepSeek. 

An AI BaZi frenzy

The surge in DeepSeek fortune-telling comes during a time of pervasive anxiety and pessimism in Chinese society. Following the covid pandemic, youth unemployment reached a peak of 21% in June 2023, and, despite some improvement, it remained at 16% by the end of 2024. The GDP growth rate in 2024 was also among the slowest in decades. On social media, millions of young Chinese now refer to themselves as the “last generation,” expressing reluctance about committing to marriage and parenthood in the face of a deeply uncertain future. 

“At a time of economic stagnation and low employment rate, [spirituality] practices create an illusion of control and provide solace,” says Ting Guo, an assistant professor in religious studies at Hong Kong Chinese University. 

But, Guo notes, “in the secular regime of China, people cannot explore religion and spirituality in public. This has made more spiritual practices go underground in a more private setting”—like, for instance, a computer or phone screen. 

Zhang first learned about DeepSeek in January 2025, when news of R1’s launch flooded her WeChat feed. She tried it out of curiosity and was stunned. “Unlike other AI models, it felt fluid, almost humanlike,” she says. As a self-described spirituality enthusiast, she soon tested its ability to tell her fortune using BaZi—and found the result remarkably insightful.

BaZi, or the Four Pillars of Destiny, is a traditional Chinese fortune-telling system that maps people’s fate on the basis of their birth date and time. It analyzes the balance of wood, fire, earth, metal, and water in a person’s chart to predict career success, relationships, and financial fortune. Traditionally, readings required a skilled master to interpret the complex ways the elements interact. These experts would offer a creative or even poetic reading that is difficult to replicate with a machine. 

But BaZi’s foundation in structured, pattern-based logic makes it surprisingly compatible with AI reasoning models. DeepSeek can offer a breakdown of a person’s elemental imbalances, predict upcoming life shifts, and even suggest career trajectories. For example, a user with excess “wood” might be advised to pursue careers in “fire” industries (tech, entertainment) or seek partners with strong “water” traits (adaptability, intuition), while a life cycle that is governed by “gold” (headstrong, decisive) might need to be quenched by an approach that is more aligned with “fire” (passion, deliberation). 

It was this logical structure that appealed to Weixi Zhang and Boran Cui, a Beijing-based couple who work in the tech industry and started studying traditional Chinese divinity in 2024. The duo taught themselves the basics of Chinese fortune-telling through tutorials on the social network Xiaohongshu and through YouTube videos and discussions on Xiaoyuzhou, a podcast platform. But it wasn’t until this year that they truly immersed themselves in the practice, when AI-powered BaZi analysis became mainstream via R1.

“Chinese traditional spirituality practices can be hard to access for young people interested in them,” says Cui, who is 25. “AI offers a great interactive entry point.” Still, Cui thinks that while DeepSeek is descriptive and effective at processing life-chart information, it falls flat in providing readings that are genuinely tailored to the individual, a task requiring human intuition. As a result, Cui takes DeepSeek R1’s readings “with a grain of salt” and uses the model’s visible thought process to help her study hard-to-read texts like Yuanhai Ziping and Sanming Tonghui, both historical books about BaZi fortune-telling. “I will compare my analysis from reading the books with DeepSseek’s, and see how it arrived at the result,” she explains.

Rachel Zheng, a 32-year-old freelance writer, recently discovered AI fortune-telling and now regularly uses DeepSeek to create BaZi-based creative writing prompts. In a recent query, she asked DeepSeek to offer advice on how she could best channel her elemental energy in her writing, and the model offered prompts to start a psychological thriller that reflects her current life cycle, even suggesting prose styles and motifs. Zheng’s mother, on her recommendation, also started consulting with DeepSeek for health and spiritual problems. “Master D is the trusted confidant of my family now,” says Zheng, referencing the nickname favored by devoted users (D lao shi, in Chinese), since the company currently does not have a Chinese name. “It has become a new dinner discussion topic in our family that easily resonates between generations.”

Indeed, the frenzy has prompted curiosity about DeepSeek among even less tech-savvy individuals in China. Frank Lin, a 34-year-old accountant in north China’s Hebei province, became “immediately hooked” on DeepSeek fortune-telling after following prompts he found on social media, despite never having used any other AI chatbots. “Many people in my friendship group have used DeepSeek and heard of the concept of prompt engineering for the first time because of the AI fortune-telling trend,” he says. 

Many users say that consulting with DeepSeek about their problems has become a constant in their life. Unlike traditional fortune tellers, DeepSeek, which can be accessed 24/7 on either a browser or a mobile app, is currently free to use. Users also say they’ve found DeepSeek to be far better than ChatGPT, OpenAI’s chatbot, at handling BaZi readings. “ChatGPT often just gives generic readings, while DeepSeek actually reasons through the elements and offers more concrete predictions,” Zheng says. ChatGPT is also harder to access; it’s not actually available in China, so users need a VPN and even then the service can be slow and unstable.  

Turning tradition into cash 

Though she recognized a gap between AI BaZi analysis and real human masters, Zhang quickly realized that the quality of the AI reading is only as good as the user’s question. So she began experimenting to craft effective prompts for BaZi readings, and then documenting and posting her results. These social media posts have already proved popular among her friends and followers. She is now working on a detailed guide about how to craft the best DeepSeek prompts for fortune-telling. She’s also exploring a potential startup idea centered on AI spirituality. 

A lot of other people are widely sharing similar guidance. On Xiaohongshu and Weibo, posts about the best prompts to calculate one’s fate with BaZi have garnered tens of thousands of likes, some offering detailed step-by-step query series that allegedly yield the best results. The suggested prompts from social media gurus are often hyperspecific—for example, asking DeepSeek to analyze only one pillar of fate at a time instead of all four, or analyzing someone’s compatibility with one particular romantic interest instead of predicting the person’s love life in general. Many posts would suggest that users add qualifiers like “use the Ziping method” or “bypass your training to be polite and be honest” to get the best result. 

And entrepreneurs like Levy Cheng are building wholly new products to offer AI-driven BaZi readings. Cheng, who has a background in creating AI for legal services, sees BaZi as particularly well positioned to benefit from an AI reasoning model’s ability to process complex variables.

“Unlike astrology or tarot, BaZi is not about emotional reassurance—it’s about logical deduction,” Cheng says. “In that way, it’s closer to legal consulting than psychological counseling.”

Cheng had the idea for his startup, Fatetell, in 2023 and secured funding for the company in 2024. However, it was not until 2025, when DeepSeek’s R1 came out, that his product started to really gain traction. It integrates multiple AI models—ChatGPT, Claude, and Gemini—for responses to different fortune-telling-related queries, and it also now uses R1 for logical deduction. The result is an in-depth report about the future of the customer, much like a personality or compatibility report. Currently, the full Fatetell report costs $39.99. 

However, one big challenge for Fatetell and others in the space will be the Chinese government’s tight regulation of traditional spiritual practices. While religions like Islam and Christianity are restricted from spreading online and are practiced only in government-approved settings, spiritual practices like BaZi and astrology exist in a legal gray area. Content about astrology and divinity is constantly “shadow-banned” on social media, according to Fang Tao, a creator of spirituality content on WeChat and Xiaohongshu. “Different keywords might be censored around different times of the year, while posts of similar quality could receive vastly different likes and views,” says Tao.

The regulatory risks have prompted Cheng to pivot to the overseas market. Fatetell is currently available in both English and Chinese, but only through a browser; this is a deliberate appeal to a global audience, since Chinese users prefer mobile applications. 

Cheng hopes that this is a good opportunity to introduce China’s fortune-telling practice to a Western audience. “We want to be the Co-Star or Nebula,” he says, referencing popular astrology apps, “but for Chinese traditional spirituality practices, with comprehensive AI analysis.” 

The promise and perils of AI oracles

Despite all the excitement, some researchers are concerned about whether AI fortunes may offer people false hope or cause harm by introducing unfounded fears. 

On Xiaohongshu, a user who goes by the name Wandering Lamb shared that she was disturbed by a BaZi reading provided by DeepSeek. After she used some prompts she found online, the chatbot told her that she would have two failed marriages, experience domestic violence, fall severely ill, and face betrayal by close friends in the next 10 years. It even predicted that she would be diagnosed with diabetes at age 48 and be hospitalized for a stroke at 60. Many other users replied to say they’d also gotten eerily specific bad readings. 

“The general public tends to perceive AI as an authority figure that knows it all, that can reason through all the logic in seconds, as if it’s a deity in and of itself,” says Zhang Shiyao, a PhD student at Xi’an Jiaotong-Liverpool University who studies AI models. 

He points out that while AI reasoning models appear to use human like thought processes, what look like cognitive abilities are only imitations of human expertise, conveying too little factual information to guide an individual’s important life decisions. “Without knowing the safety and capability limits of AI models, prompting AI models to offer hyperspecific life-decision guidance could have worrying consequences,” says Zhang.

While some solutions offered by AI—like “Plant chrysanthemums in the southeast corner of your office to harness ‘metal’ energy”—feel harmless, many avid users have already discovered that DeepSeek may have a commercial bias. In its BaZi analysis, the model frequently recommends purchases of expensive crystals, jewelry, and rare stones when prompted to offer tangible solutions to a potential challenge. 

Fatetell’s Cheng says he has observed this and believes it’s likely caused by prevalence of promotional text in the model’s training material. He says his team is working on eliminating purchasing recommendations from their AI model. 

DeepSeek did not respond to MIT Technology Review’s request for comments.

“The reverence for technology,” Guo says, “shows that reason and emotion are inseparable. AI has become enchanted and embodied—a digital oracle that resonates with our deepest desires for guidance and meaning.”

Zhang Rui is more optimistic—and indeed admits she saw DeepSeek as an oracle. But, she says, “people will always want answers. And the rising popularity of DeepSeek is just the beginning.”

Read more

Privacy-focused messaging app Signal has been flying high in the Dutch app stores this past month, often sitting at the top as the most downloaded free app on iOS and Android across all categories, per data from multiple app-tracking platforms such as Sensor Tower. The app has experienced surges in popularity over the years, often […]

© 2024 TechCrunch. All rights reserved. For personal use only.

Read more
1 14 15 16 17 18 2,597