Uber and WeRide Launch Fully Driverless Robotaxi Service on Abu Dhabi’s Yas Island

Uber Technologies Inc. has begun offering fully driverless rides in partnership with WeRide Inc. on Yas Island in Abu Dhabi, marking a significant expansion of autonomous mobility in the Middle East. The companies launched their initial pilot with safety operators in late 2024. Now, a year later, select UberX and Uber Comfort riders can be matched with a completely driverless vehicle across a 12–square-mile area.

Riders can also choose a new “Autonomous” option in the Uber app, which increases the likelihood of receiving a robotaxi and is priced similarly to Uber Comfort. Trips beyond Yas Island, including routes from Abu Dhabi International Airport and other surrounding islands, will continue to operate with a safety operator for the time being. This broader semi-autonomous service covers approximately 30 square miles.

Uber and WeRide plan further expansion within Abu Dhabi and intend to bring driverless operations to Dubai in the near future. Their partnership extends well beyond the UAE. Earlier this year, the companies agreed to launch in 15 additional cities worldwide, including Riyadh, where service with safety operators has already started. In the United States, Uber currently offers driverless rides through an existing partnership with Alphabet Inc.’s Waymo in Phoenix, Austin, and Atlanta.

Since selling its in-house autonomous division in 2020, Uber has shifted toward establishing itself as a global platform for autonomous mobility, investing heavily in technology partners such as WeRide and forging more than 20 partnerships focused on AV deployment. The company said that dozens of Uber-managed WeRide vehicles are currently operating in Abu Dhabi and that the fleet will expand with rising demand.

WeRide, whose shares trade in both the US and Hong Kong, recently reported a third-quarter net loss of 307 million yuan ($43 million), an improvement from a 1.04-billion-yuan loss a year earlier. The company now holds autonomous driving permits in eight countries as it accelerates international growth.

For the UAE, the launch of fully driverless rides on Yas Island reinforces the country’s ambition to become a leading global hub for smart mobility. With further expansion planned across Abu Dhabi and Dubai, the region is positioning itself at the forefront of the autonomous transportation industry.

A $100,000 Robot Dog Is Becoming Standard in Policing – and Raising Ethical Alarms

Boston Dynamics’ four-legged robot Spot, once best known for viral dance videos set to “Uptown Funk,” is rapidly becoming one of the most controversial new tools in North American policing. Five years after its commercial debut, the 75-pound, German-Shepherd-sized robot is now deployed in more than 60 bomb squads and SWAT teams across the US and Canada – and that number is growing.

Spot’s agility, ability to climb stairs, open doors, and traverse hazardous environments has made it attractive to police departments facing armed standoffs, hostage situations, and chemical incidents where human officers – or real K-9 units – would be in danger. But the rise of these semi-autonomous robot dogs is sparking a heated conversation about ethics, oversight, and the increasing militarization of civilian law enforcement.

From Viral Star to Tactical Tool

While Spot’s public persona has been shaped by choreographed online performances, its capabilities go far beyond entertainment. The robot can navigate uneven terrain, conduct autonomous patrols, identify gas leaks, and inspect dangerous environments without risking human life.

Police departments have taken note. Spot has already been used in several high-risk events:

  • Florida (2022): Monitored an armed suspect who had crashed his vehicle during an attempted kidnapping.
  • Massachusetts (2023): Assessed a chemical waste accident at a middle school in North Andover.
  • Hyannis, MA (2023): Assisted in a hostage situation where a suspect held his mother at knifepoint and fired at officers. Spot cornered the suspect, enabling police to deploy tear gas.

An Expensive Shift Toward Robotic Policing

Spot’s base price starts around $100,000, but many departments pay significantly more once accessories and specialized equipment are included. Massachussetts State Police, for instance, spent around $250,000 per unit, financed largely through state grants.

The investment is part of a broader trend. Defense and public-safety tech funding surpassed $28 billion in 2025 – a 200% increase year-over-year, even as the wider venture market slowed. Agencies are increasingly reaching for advanced robotics, often for life-saving purposes:

  • ICE spent $78,000 on a robotic tool from Icor Technology capable of deploying smoke bombs.
  • Large police forces are deploying military-grade robots such as PackBots, originally developed by iRobot for battlefield operations.

A Growing Global Footprint

Boston Dynamics says roughly 2,000 Spot units are now in operation worldwide. In addition to US and Canadian agencies, Spot has been adopted by:

  • The Dutch Ministry of Defense
  • Italy’s national police
  • Multiple industrial organizations, including manufacturers and utilities

Ethical Concerns and Calls for Oversight

While robots like Spot can improve officer safety, critics warn that their growing presence risks normalizing a more militarized approach to public safety.

Civil liberties groups – including the Electronic Frontier Foundation (EFF) – are calling for clear legal frameworks governing how robots are deployed.

“You can’t rely on the goodwill of a particular company,” said EFF researcher Beryl Lipton. “There have to be rules about how these technologies are used.”

Lipton also criticized the trend of presenting robots as friendly or pet-like. “Calling it a ‘robot dog’ normalizes the technology. It’s not a dog – it’s another piece of police tech.”

Public skepticism has already led to pushback. The New York Police Department temporarily suspended its use of Spot in 2021 after public backlash over cost and concerns about surveillance.

Experts Urge Clear Boundaries

Law professor Ryan Calo of the University of Washington warns that overusing robotics in policing may weaken community trust.

“The unease people feel around robotics is not just a psychological quirk – it’s rooted in real concerns,” he said. “Used indiscriminately, robots can further dehumanize police.”

Calo supports the use of robots in predefined, high-risk scenarios, not as general-purpose tools.

“No one wants police to risk their lives unnecessarily,” he said. “But we also don’t want to live in a robotic police state.”

The Future of Robotic Policing

Despite ethical debates, police demand for Spot and similar robots continues to grow. Officers cite advantages in:

  • Battery life (Spot runs ~90 minutes, longer than most drones)
  • Indoor performance and mobility
  • The ability to run autonomous missions
  • Access to areas too dangerous for humans

Ursa Major Secures $100M to Fuel Hypersonic Engine Expansion, Hits $600M Valuation

Aerospace and defense startup Ursa Major Technologies Inc. has closed a $100 million equity funding round – bringing its total valuation to $600 million. The round was led by VC firm Eclipse, with participation from Woodline Partners, Principia Growth, XN, and Alsop Louie Partners, alongside an additional $50 million in debt financing.

Founded in 2015 and headquartered in Colorado, Ursa Major is emerging as a key player in next-gen propulsion systems for missiles, space launch vehicles, and hypersonic platforms. The company reported $115 million in revenue during the first three quarters of 2025 and is on pace to double its workforce to 500 employees by year-end.

Scaling Rocket Motor Production

Ursa Major plans to use the fresh capital to scale production of its solid rocket motors – which have applications in systems like Tomahawk missiles – from 4 to 40 units per week over the next 12-18 months. The funding will also accelerate development of the company’s hypersonic engine technology and propulsion systems, critical components in the growing national defense and aerospace race.

“I’m here to do this on a size and scale that matters,” – Dan Jablonsky, CEO, Ursa Major

Jablonsky emphasized that the company aims to reach cash flow breakeven with this round and wants to remain IPO-ready, should market conditions align for a public debut.

Defense Tech in High Demand

The announcement underscores Silicon Valley’s surging interest in defense and aerospace innovation, as the Pentagon ramps up investments in next-gen tech amid global geopolitical tensions. Recent U.S. Department of Defense reforms aimed at streamlining procurement have made it easier for startups like Ursa Major to compete for major contracts.

“The signal it sends is fantastic,” – Seth Winterroth, Partner at Eclipse

Strategic Momentum & Leadership Boost

The company recently welcomed Ron Sugar, former Northrop Grumman CEO, and Gilman Louie, ex-head of the CIA’s venture firm In-Q-Tel, to its board – strengthening Ursa Major’s ties with both defense and capital markets.

Despite a temporary pause in hypersonic field testing during the U.S. government shutdown, CEO Jablonsky remains optimistic:

“That slowed down our milestones, but we’ll recover.”

What’s Next?

Ursa Major is uniquely positioned at the intersection of space innovation, defense modernization, and hypersonic advancement. With its latest funding and experienced leadership team, the company is gearing up to lead the next era of propulsion systems – and possibly go public in the near future.

Firmus Technologies Raises $327M to Accelerate AI Data Center Expansion Across Australia

Nvidia-backed Firmus Technologies Ltd. has secured A$500 million (~$327 million USD) in fresh funding to propel the expansion of its renewable energy-powered AI data centers across the country. The latest round brings the company’s valuation to approximately A$6 billion, up sharply from A$1.85 billion in its previous raise just this past September.

The capital injection will enable site development, infrastructure deployment, and renewable energy agreements across key Australian regions – including Perth, Sydney, and Tasmania – as Firmus aims to deliver up to 1.6 gigawatts of AI infrastructure capacity by 2028.

This aggressive growth trajectory positions Firmus as one of the leading players in the global race to meet skyrocketing demand for AI computing power, particularly in the age of generative AI and large-scale language models.

“This funding signals strong investor confidence in our strategy to deliver high-performance, energy-efficient AI infrastructure,” said a Firmus spokesperson. “With Nvidia’s cutting-edge technology at the core of our systems, we’re pushing the limits of what’s possible in AI computing – all powered by clean energy.”

The startup is currently constructing two major facilities in Melbourne and Tasmania, with Nvidia’s latest GB300 AI chips forming the backbone of the centers. Both locations are expected to be operational by April.

While the company confirmed that existing investors participated in the round, specific names have not been disclosed.

A Strategic Bet on Australia’s AI Ecosystem

Australia is emerging as a strategic hub for data infrastructure, offering abundant renewable resources and a stable regulatory environment. Firmus’s growth aligns with Nvidia’s broader push to support decentralized, sustainable AI compute infrastructure worldwide.

This raise marks another milestone in Firmus’s partnership with Nvidia, following their participation in a broader $2.9 billion AI data center initiative in Australia, underscoring their commitment to transforming the country into a global AI powerhouse.

Nebius Launches ‘Token Factory’ to Power Open AI Models, Challenging Microsoft and Amazon

Nebius Group NV, a rapidly rising player in the artificial intelligence infrastructure space, has unveiled a new platform aimed at democratizing access to powerful open-source AI models. The product – called Token Factory – offers developers the tools and computing power to run leading AI models efficiently, marking Nebius’ bold step into territory dominated by cloud giants like Microsoft Azure and Amazon Web Services (AWS).

A New AI Platform for the Open-Source Era

Token Factory focuses on inference workloads – the process of deploying and running AI models and applications after they’ve been trained. The platform allows clients to select from an expanding library of open models, including OpenAI’s GPT-oss, Meta’s Llama, and DeepSeek from China. Users can then deploy these models on Nebius’ globally distributed cloud infrastructure.

By combining flexibility and raw computing performance, Nebius aims to meet growing demand from companies eager to integrate AI but reluctant to depend solely on proprietary ecosystems.

Competing With Tech Titans

The move puts Nebius in direct competition with major cloud providers. Amazon and Microsoft both offer similar AI model-hosting and inference tools – but Nebius’ recent momentum gives it a unique edge.

Earlier this year, Microsoft struck a deal worth up to $19.4 billion to secure AI computing capacity from Nebius, underscoring the scale of the Dutch company’s ambitions. Nebius’ entry into open-model services could therefore serve as both a complement and a competitive challenge to its larger partners.

Other emerging AI infrastructure startups, such as Fireworks and Baseten, are also chasing this market, offering model-serving platforms for developers building AI applications.

Expanding Beyond Infrastructure

Founded in the Netherlands after its split from Russian tech company Yandex, Nebius has swiftly positioned itself as a major “neocloud” provider – a new breed of cloud companies focused on AI compute rather than general web hosting. The company operates data centers across the U.S., Europe, and Israel, where it recently opened one of the region’s first publicly accessible clusters equipped with Nvidia’s latest AI chips.

While many infrastructure companies are moving into higher-margin software services, Roman Chernin, Nebius’ co-founder and Chief Business Officer, insists the company’s motivation is customer-focused rather than purely financial.

“You have to be much more than just infrastructure,” Chernin said in an interview. “We want to be a large company, but we don’t want to be only a utility company.”

Empowering Developers With Flexibility

Chernin believes the market is shifting. Many AI developers are starting to question the trade-offs of depending exclusively on closed-source systems from the world’s leading AI labs. Proprietary models can offer state-of-the-art performance but limit flexibility for customization and fine-tuning – and come with steep usage costs.

“They start shifting from building everything on a closed ecosystem to a more diversified portfolio of models,” Chernin explained. “What we built is a scalable, reliable platform that lets clients seamlessly switch from whatever they started with to what they need at scale.”

Early Adopters and Partnerships

Nebius has already secured several prominent early customers. Dutch technology investment group Prosus NV and AI video company Higgsfield are using Token Factory for large-scale inference operations. Meanwhile, Hugging Face, the popular open AI community platform, is partnering with Nebius – both using its infrastructure and featuring Token Factory on its inference marketplace.

A New Challenger in AI Infrastructure

The launch of Token Factory cements Nebius’ position as one of the most ambitious new entrants in the global AI cloud race. As demand for scalable, affordable, and flexible AI computing grows, the company’s strategy to embrace open models – rather than depend on closed systems – could resonate with developers seeking independence from the major cloud monopolies.

Nebius’ message is clear: the future of AI infrastructure lies not just in raw computing power, but in the freedom to build, deploy, and innovate without boundaries.

Nvidia Becomes First-Ever $5 Trillion Company as AI Boom Accelerates

Nvidia Corp. has made history, officially becoming the first company to surpass a $5 trillion market capitalization, solidifying its role as the undisputed leader of the global AI revolution.

The milestone came on Wednesday, as Nvidia shares surged up to 5.2% to $211.47, just four months after the company breached the $4 trillion mark. The rally has been fueled by an aggressive series of AI-focused deals spearheaded by CEO Jensen Huang, including partnerships with Nokia, Samsung Electronics, and Hyundai Motor Group.

Fueling the AI Frenzy

Nvidia’s meteoric rise is more than just a reflection of market momentum — it’s a direct result of the company’s dominance in powering artificial intelligence infrastructure worldwide.

So far in 2025, Nvidia stock has gained 50%, contributing nearly one-fifth of the S&P 500’s 17% growth this year. For comparison, Microsoft and Apple — both hovering around the $4 trillion valuation mark — trail Nvidia in both growth and market impact.

Political Winds & Global Deals

The latest boost came after former U.S. President Donald Trump suggested he would soon speak with Chinese President Xi Jinping regarding Nvidia’s powerful Blackwell chips. Trump has previously said he would consider allowing Nvidia to export a downgraded version of Blackwell to China — news that investors greeted with enthusiasm.

Meanwhile, Huang unveiled an ambitious plan to link quantum computers with Nvidia’s AI chips, and projects that the new hardware lineup could generate $500 billion in revenue.

Analyst Sentiment: Overwhelmingly Bullish

Of the 80 analysts tracked by Bloomberg, over 90% rate Nvidia stock as a buy. The average price target is $225.48, suggesting upside potential of ~7%. Only one analyst, Jay Goldberg from Seaport Global Securities, maintains a sell rating.

Valuation-wise, Nvidia is currently trading at 33.8x forward earnings — below its five-year average (≈39x) and close to the Philadelphia Semiconductor Index’s multiple of 29x.

Nvidia’s historic $5 trillion valuation reflects more than just market optimism — it underscores how central the company has become to the future of artificial intelligence, computing, and the broader tech ecosystem. While questions about sustainability remain, for now, Nvidia is riding high at the peak of the AI wave.