Aibo the Robot Dog Will Melt Your Heart With Mechanical Precision

Aibo the robot dog from Sony meets Lola Beyoncé, the real thing. (Geoffrey Fowler/The Washington Post)
Aibo the robot dog from Sony meets Lola Beyoncé, the real thing. (Geoffrey Fowler/The Washington Post)
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Aibo the Robot Dog Will Melt Your Heart With Mechanical Precision

Aibo the robot dog from Sony meets Lola Beyoncé, the real thing. (Geoffrey Fowler/The Washington Post)
Aibo the robot dog from Sony meets Lola Beyoncé, the real thing. (Geoffrey Fowler/The Washington Post)

I’ve been giving a robot belly rubs. I’ve scolded it for being a bad, bad boy. I’ve grinned when it greets me at the door.

What’s this feeling? Oh, yes, puppy love. And I felt it for Aibo, a new “autonomous companion” dog made by Sony.

Does that make me a sad sack? A dystopian character from “Black Mirror”? It’s open to debate. But this much is clear: The era of the affectionate robots is dawning, and Aibo offers early evidence we’re going to love them.

Aibo (pronounced “eye-bo”) is a reboot of the robot dog Sony first introduced in 1999 and laid to rest in 2006 in a tragic round of corporate cost-cutting. This new litter goes on sale in the United States this week with much more lifelike movement, artificial intelligence and a cellular connection for a gobsmacking $2,900 each. If you’re looking for justification to spend that much on a toy, the American Kennel Club says the average lifetime cost of a dog is $23,410. Also: Robot dogs don’t poop.

Not that Aibo, about the size of a Yorkshire terrier, can replace an actual dog. I let mine play with a real 7-week-old pup and was reminded of all the ways Aibo is just a fraction of the real thing. Aibo can’t go for a walk, jump into your lap, teach responsibility or give you real-deal love licks. Aside from walking around the house, barking and performing a few tricks, Aibo doesn’t do a whole lot. It can’t play music or answer trivia like a smart speaker, though those would be welcome additions.

Yet here’s why Aibo matters: Despite all those limitations, I fell for it. Over two weeks of robot foster parenting, almost every person I introduced to Aibo went a little gaga. The Amazon Echo and Google Home speakers got us to open our homes to new ways to interact with computers. Aibo offers a glimpse of how tech companies will get us to treat them more like members of the family. Affectionate robots have the potential to comfort, teach and connect us to new experiences — as well as manipulate us in ways we’ve not quite encountered before.

Aibo works, in part, because real robots are catching up with what we’ve been trained by Pixar movies to find adorable. Aibo’s 22 joints — including one bouncy tail and two perky ears — and OLED-screen eyes communicate joy, sorrow, boredom or the need for a nap.

Tell Aibo “bang bang,” and it lies down and flips over to play dead. Say “bring me the bone,” and the robot will find its special pink toy and pick it up with its mouth. It’ll even lift its back leg and take a simulated tinkle. Thanks to touch sensors on its plastic back, head and chin, Aibo responds when you pet or scold it. The only thing that ruins the effect is that Aibo’s mechanical muscles are noisy, making it sound like a baby Terminator on the march.

I call Aibo an affectionate robot because it’s more than an animatronic puppet. Cameras built into its nose and lower back help it wander around your house like a Roomba, avoiding obstacles and attempting to find its way back to its charger. (Aibo’s battery can go for two hours at a time.) Four microphones let Aibo hear commands and figure out who’s issuing them. Like a real puppy, it has an inconvenient habit of getting underfoot while you’re cooking dinner.

The idea, say Sony execs, is that Aibo is constantly growing. Aibo learns the faces of people who interact with it to develop personal relationships. It’s a claim that’s hard to verify, but Sony says no two Aibos have the same “personality,” because AI is shaped by experiences. If you give belly rubs and “good boy”s to your robot, you’ll get a more loving machine.

Aibo’s autonomy is a work-in-progress. To put it another way: Aibo is kind of stupid. Aibo isn’t smart enough to avoid steps or chase after a ball with any consistency. Sometimes I found it staring at a wall for hours. But it works just often enough that it’s cute, and you get the feeling your robo-pup might actually be growing up.What’s remarkable is none of this requires an interface, such as an app. You interact with Aibo through touch and voice command, just like a dog — minus the treats. (A companion app, which wasn’t ready for me to test, lets you see photos Aibo takes through its nose and operate some other secondary functions.) Aibo is always online via its own cellular connection to download new capabilities and new tricks, and upload what it takes in on the ground.

Which might make you wonder: Is Aibo a spy robot? Sony didn’t have thorough answers to my questions about what happens to all that data. Aibo’s privacy policy says it isn’t intended for use in Illinois, which has laws restricting facial-recognition tech. A spokeswoman told me Aibo isn’t recording 24/7 but rather listens and looks out for commands. Aibo stores experiential data that allows it to build “memories” and “create an ever-growing bond with the owner,” she said. “This data is not shared.”

How does Aibo inspire affection when other robots create revulsion or fear? Its face and eyes draw on anime to convey harmlessness. Choosing the form of a dog also keeps Aibo firmly out of the creepy “uncanny valley” that sinks so many humanoid robots and stokes fears on shows such as “Westworld.” (Fake fur might have sent Aibo over the edge.) We’re more forgiving of dogs than of people, which it turns out also applies to AI pretending to be dogs and people.

Other robots such as Jibo, which I reviewed last year, are also trying to break into homes with personalities rather than just skills. Social robots are an evolution of Alexa, Google Assistant and Siri, and have the potential to someday comfort the lonely, care for the elderly or help children learn.

But there are important questions to ask about a future where we imbue robots with emotion. Is it twisted to offer the illusion of affection without the requirement of a real relationship? Will children learn to look in the wrong place for love and wisdom?

Earlier this year, researchers published a study that showed people struggle to power down a pleading (humanoid) robot — refusing to shut it off or taking more than twice the amount of time to pull the plug. The lesson: We’re inclined to treat electronic media as living beings.

When it came time to switch off my test robo-pup and send it back to Sony, Aibo didn’t plead or howl. But I felt sad nonetheless.

The Washington Post



India Eyes $200B in Data Center Investments as It Ramps Up Its AI Hub Ambitions

FILE -Google CEO Sundar Pichai, right, interacts with India's Minister for Information and Technology Ashwini Vaishnaw during Google for India 2022 event in New Delhi, Dec. 19, 2022. (AP Photo/Manish Swarup), File)
FILE -Google CEO Sundar Pichai, right, interacts with India's Minister for Information and Technology Ashwini Vaishnaw during Google for India 2022 event in New Delhi, Dec. 19, 2022. (AP Photo/Manish Swarup), File)
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India Eyes $200B in Data Center Investments as It Ramps Up Its AI Hub Ambitions

FILE -Google CEO Sundar Pichai, right, interacts with India's Minister for Information and Technology Ashwini Vaishnaw during Google for India 2022 event in New Delhi, Dec. 19, 2022. (AP Photo/Manish Swarup), File)
FILE -Google CEO Sundar Pichai, right, interacts with India's Minister for Information and Technology Ashwini Vaishnaw during Google for India 2022 event in New Delhi, Dec. 19, 2022. (AP Photo/Manish Swarup), File)

India is hoping to garner as much as $200 billion in investments for data centers over the next few years as it scales up its ambitions to become a hub for artificial intelligence, the country’s minister for electronics and information technology said Tuesday.

The investments underscore the reliance of tech titans on India as a key technology and talent base in the global race for AI dominance. For New Delhi, they bring in high-value infrastructure and foreign capital at a scale that can accelerate its digital transformation ambitions.

The push comes as governments worldwide race to harness AI's economic potential while grappling with job disruption, regulation and the growing concentration of computing power in a few rich countries and companies.

“Today, India is being seen as a trusted AI partner to the Global South nations seeking open, affordable and development-focused solutions,” Ashwini Vaishnaw told The Associated Press in an email interview, as New Delhi hosts a major AI Impact Summit this week drawing participation from at least 20 global leaders and a who’s who of the tech industry.

In October, Google announced a $15 billion investment plan in India over the next five years to establish its first artificial intelligence hub in the South Asian country. Microsoft followed two months later with its biggest-ever Asia investment announcement of $17.5 billion to advance India’s cloud and artificial intelligence infrastructure over the next four years.

Amazon too has committed $35 billion investment in India by 2030 to expand its business, specifically targeting AI-driven digitization. The cumulative investments are part of $200 billion in investments that are in the pipeline and New Delhi hopes would flow in.

Vaishnaw said India’s pitch is that artificial intelligence must deliver measurable impacts at scale rather than remain an elite technology.

“A trusted AI ecosystem will attract investment and accelerate adoption,” he said, adding that a central pillar of India’s strategy to capitalize on the use of AI is building infrastructure.

The government recently announced a long-term tax holiday for data centers as it hopes to provide policy certainty and attract global capital.

Vaishnaw said the government has already operationalized a shared computing facility with more than 38,000 graphics processing units, or GPUs, allowing startups, researchers and public institutions to access high-end computing without heavy upfront costs.

“AI must not become exclusive. It must remain widely accessible,” he said.

Alongside the infrastructure drive, India is backing the development of sovereign foundational AI models trained on Indian languages and local contexts. Some of these models meet global benchmarks and in certain tasks rival widely used large language models, Vaishnaw said.

India is also seeking a larger role in shaping how AI is built and deployed globally as the country doesn’t see itself strictly as a “rule maker or rule taker,” according to Vaishnaw, but an active participant in setting practical, workable norms while expanding its AI services footprint worldwide.

“India will become a major provider of AI services in the near future,” he said, describing a strategy that is “self-reliant yet globally integrated” across applications, models, chips, infrastructure and energy.

Investor confidence is another focus area for New Delhi as global tech funding becomes more cautious.

Vaishnaw said the technology’s push is backed by execution, pointing to the Indian government's AI Mission program which emphasizes sector specific solutions through public-private partnerships.

The government is also betting on reskilling its workforce as global concerns grow that AI could disrupt white collar and technology jobs. New Delhi is scaling AI education across universities, skilling programs and online platforms to build a large AI-ready talent pool, the minister said.

Widespread 5G connectivity across the country and a young, tech-savvy population are expected to help with the adoption of AI at a faster pace, he added.

Balancing innovation with safeguards remains a challenge though, as AI expands into sensitive sectors such as governance, health care and finance.

Vaishnaw outlined a fourfold strategy that includes implementable global frameworks, trusted AI infrastructure, regulation of harmful misinformation and stronger human and technical capacity to hedge the impact.

“The future of AI should be inclusive, distributed and development-focused,” he said.


Report: SpaceX Competing to Produce Autonomous Drone Tech for Pentagon 

The SpaceX logo is seen in this illustration taken, March 10, 2025. (Reuters)
The SpaceX logo is seen in this illustration taken, March 10, 2025. (Reuters)
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Report: SpaceX Competing to Produce Autonomous Drone Tech for Pentagon 

The SpaceX logo is seen in this illustration taken, March 10, 2025. (Reuters)
The SpaceX logo is seen in this illustration taken, March 10, 2025. (Reuters)

Elon Musk's SpaceX and its wholly-owned subsidiary xAI are competing in a secret new Pentagon contest to produce voice-controlled, autonomous drone swarming technology, Bloomberg News reported on Monday, citing people familiar with the matter.

SpaceX, xAI and the Pentagon's defense innovation unit did not immediately respond to requests for comment. Reuters could not independently verify the report.

Texas-based SpaceX recently acquired xAI in a deal that combined Musk's major space and defense contractor with the billionaire entrepreneur's artificial intelligence startup. It occurred ahead of SpaceX's planned initial public offering this year.

Musk's companies are reportedly among a select few chosen to participate in the $100 million prize challenge initiated in January, according to the Bloomberg report.

The six-month competition aims to produce advanced swarming technology that can translate voice commands into digital instructions and run multiple drones, the report said.

Musk was among a group of AI and robotics researchers who wrote an open letter in 2015 that advocated a global ban on “offensive autonomous weapons,” arguing against making “new tools for killing people.”

The US also has been seeking safe and cost-effective ways to neutralize drones, particularly around airports and large sporting events - a concern that has become more urgent ahead of the FIFA World Cup and America250 anniversary celebrations this summer.

The US military, along with its allies, is now racing to deploy the so-called “loyal wingman” drones, an AI-powered aircraft designed to integrate with manned aircraft and anti-drone systems to neutralize enemy drones.

In June 2025, US President Donald Trump issued the Executive Order (EO) “Unleashing American Drone Dominance” which accelerated the development and commercialization of drone and AI technologies.


SVC Develops AI Intelligence Platform to Strengthen Private Capital Ecosystem

The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights- SPA
The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights- SPA
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SVC Develops AI Intelligence Platform to Strengthen Private Capital Ecosystem

The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights- SPA
The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights- SPA

Saudi Venture Capital Company (SVC) announced the launch of its proprietary intelligence platform, Aian, developed in-house using Saudi national expertise to enhance its institutional role in developing the Kingdom’s private capital ecosystem and supporting its mandate as a market maker guided by data-driven growth principles.

According to a press release issued by the SVC today, Aian is a custom-built AI-powered market intelligence capability that transforms SVC’s accumulated institutional expertise and detailed private market data into structured, actionable insights on market dynamics, sector evolution, and capital formation. The platform converts institutional memory into compounding intelligence, enabling decisions that integrate both current market signals and long-term historical trends, SPA reported.

Deputy CEO and Chief Investment Officer Nora Alsarhan stated that as Saudi Arabia’s private capital market expands, clarity, transparency, and data integrity become as critical as capital itself. She noted that Aian represents a new layer of national market infrastructure, strengthening institutional confidence, enabling evidence-based decision-making, and supporting sustainable growth.

By transforming data into actionable intelligence, she said, the platform reinforces the Kingdom’s position as a leading regional private capital hub under Vision 2030.

She added that market making extends beyond capital deployment to shaping the conditions under which capital flows efficiently, emphasizing that the next phase of market development will be driven by intelligence and analytical insight alongside investment.

Through Aian, SVC is building the knowledge backbone of Saudi Arabia’s private capital ecosystem, enabling clearer visibility, greater precision in decision-making, and capital formation guided by insight rather than assumption.

Chief Strategy Officer Athary Almubarak said that in private capital markets, access to reliable insight increasingly represents the primary constraint, particularly in emerging and fast-scaling markets where disclosures vary and institutional knowledge is fragmented.

She explained that for development-focused investment institutions, inconsistent data presents a structural challenge that directly impacts capital allocation efficiency and the ability to crowd in private investment at scale.

She noted that SVC was established to address such market frictions and that, as a government-backed investor with an explicit market-making mandate, its role extends beyond financing to building the enabling environment in which private capital can grow sustainably.

By integrating SVC’s proprietary portfolio data with selected external market sources, Aian enables continuous consolidation and validation of market activity, producing a dynamic representation of capital deployment over time rather than relying solely on static reporting.

The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights, enabling SVC to identify priority market gaps, recalibrate capital allocation, design targeted ecosystem interventions, and anchor policy dialogue in evidence.

The release added that Aian also features predictive analytics capabilities that anticipate upcoming funding activity, including projected investment rounds and estimated ticket sizes. In addition, it incorporates institutional benchmarking tools that enable structured comparisons across peers, sectors, and interventions, supporting more precise, data-driven ecosystem development.