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Xthings unveils Ulticam home security cameras powered by edge AI

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Xthings announced that its Ulticam security camera brand has a new model out today: the Ulticam IQ Floodlight, an edge AI-powered home security camera. The company also plans to showcase two additional cameras, Ulticam IQ, an […]

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Xthings announced that its Ulticam security camera brand has a new model out today: the Ulticam IQ Floodlight, an edge AI-powered home security camera.

The company also plans to showcase two additional cameras, Ulticam IQ, an outdoor spotlight camera, and Ulticam Dot, a portable, wireless security camera. All three cameras offer free cloud storage (seven days rolling) and subscription-free edge AI-powered person detection and alerts.

The AI at the edge means that it doesn’t have to go out to an internet-connected data center to tap AI computing to figure out what is in front of the camera. Rather, the processing for the AI is built into the camera itself, and that sets a new standard for value and performance in home security cameras. It can identify people, faces and vehicles.

CES 2025 attendees can experience Ulticam’s entire lineup at Pepcom’s Digital Experience event on January 6, 2025, and at the Venetian Expo, Halls A-D, booth #51732, from January 7 to January 10, 2025. These new security cameras will be available for purchase online in the U.S. in Q1 and Q2 2025 at U-tec.com, Amazon, and Best Buy.

The Ulticam IQ Series: smart edge AI-powered home security cameras

Ulticam IQ home security camera.

The Ulticam IQ Series, which includes IQ and IQ Floodlight, takes home security to the next level with the most advanced AI-powered recognition. Among the very first consumer cameras to use edge AI, the IQ Series can quickly and accurately identify people, faces and vehicles, without uploading video for server-side processing, which improves speed, accuracy, security and privacy. Additionally, the Ulticam IQ Series is designed to improve over time with over-the-air updates that enable new AI features.

Both cameras offer free cloud storage (7 days rolling) and 8GB of built-in storage, expandable up to 128 GB with SD cards for additional recording capacity and dual-layer recording.

Ulticam IQ Series security cameras are weatherproof and designed for reliable outdoor performance in any environment, day or night, with exceptional 2K Quad HD image quality (4K Ultra HD versions coming in Q2 2025).

IQ features an integrated spotlight, while IQ Floodlight features two powerful floodlights and color night vision. Both activate upon detecting motion, deterring intruders, and enhancing visibility with more light. With the U home app, users get real-time alerts, live camera viewing, two-way audio, and searchable footage. The cameras also offer four customizable detection zones to help minimize false motion detections.

Users also can choose from multiple connectivity options, including Wi-Fi, LAN, 4G LTE, or Power over Ethernet (IQ only). IQ offers a plug-in power option and IQ Floodlight is a wired camera. The IQ series will support integration with Amazon Alexa and Google Home at launch.

The price Ulticam IQ 2K is $169 or $199 with optional 4G LTE connectivity. IQ Floodlight 2K is $199 or $239 with optional 4G LTE connectivity. IQ will be available in Q1 2025, and IQ Floodlight in Q2 2025.

Ulticam Dot: The anywhere security camera

You can take the Ulticam Dot security camera on the go.

Ulticam Dot, available for $69, is a portable, wireless security camera that delivers peace of mind at home or on the go. Its compact, battery-powered, and weather-resistant design makes it easy to use anywhere indoors or covered outdoors—whether at home, in a hotel room, or anywhere in between—making it a dependable and versatile security solution. Like all Ulticam cameras, it offers free cloud storage (7 days rolling) and subscription-free person and motion detection.

With 2K Quad HD video, night vision, and an ultra-wide field of view, Ulticam Dot ensures clear and comprehensive coverage, day or night. When connected to Wi-Fi, it provides real-time alerts, two-way audio, and automatic dual-layer recording. Dot also offers four customizable detection zones to deliver real-time alerts while minimizing false motion detections.

Ulticam Dot is designed for personal security wherever you need it and comes with four replaceable AA alkaline batteries, 8GB built-in storage, alarm siren, a magnetic base for mounting on metal surfaces, and peel-and-stick adhesive and screws for easy installation on any surface. Dot can stay in standby mode for up to nine months on lithium batteries. In use battery life will depend on camera activity and environment.

Built-in Wi-Fi enables direct connection to your home network without additional hubs, and the U home app allows seamless control. Dot will support integration with Amazon Alexa and Google Home at launch. It will be available starting in Q1 2025.

“Consumers are tired of being locked into costly monthly subscriptions, which is why Ulticam offers free cloud storage and advanced AI features without requiring any fees,” said Matthew Brown, Ulticam’s head of marketing, in a statement. “Ulticam is setting a new standard for value and performance in the home security market and we’re putting consumers first.”

Ultraloq smart locks

Ultilog Bolt

Xthings also showed off its smart lock brand, Ultraloq, with two new smart locks at CES. The locks include the Ultraloq Bolt Mission UWB + NFC Smart Deadbolt, the world’s first lock with ultra-wideband (UWB) technology, and Ultraloq Bolt Fingerprint Matter, one of the first Matter-compatible locks to support several smart home platforms.

Bolt Mission UWB + NFC ($399) updates the smart door lock with a precise, hands-free auto-unlocking experience. Using ultra-wideband (UWB) technology, the same technology commonly used in digital car keys, Bolt Mission senses the keyholder’s phone location with centimeter-level accuracy, determining both distance and direction of approach. This spatial awareness enables automatic unlocking as users approach from the outside and also prevents unintended unlocking when users are inside their homes.

For added convenience, Bolt Mission also features NFC for quick tap-to-unlock functionality and automatic locking. It supports Matter for easy integration, voice commands with Siri, Amazon Alexa, Google Assistant, and Samsung SmartThings, and connects directly to your home Wi-Fi via the U home App, eliminating the need for additional hubs.

Bolt Mission offers lightning-fast unlocking in under half a second.

The new version of Ultraloq Bolt Fingerprint ($199) is Ultraloq’s first deadbolt to support Matter, which enables control and management through Matter-certified apps and platforms. Digital keys can be shared with guests and family members for scheduled access using your preferred Matter-certified app.

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Linkerd 2.18 advances cloud-native service mesh

The project’s focus has evolved significantly over the years. While early adoption centered on mutual TLS between pods, today’s enterprises are tackling much larger challenges. “For a long time, the most common pattern was simply, ‘I want to get mutual TLS between all my pods, which gives me encryption, and

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18 essential commands for new Linux users

[jdoe@fedora ~]$ ls -ld /home/jdoedrwx——. 1 jdoe jdoe 106 Apr 3 14:39 /home/jdoe As you may have suspected, “r” stands for read, “w” means write and “x” is for execute. Note that no permissions are available for other group members and anyone else on the system. Each user will be

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Smaller, public utilities see growth potential in data centers, but there are risks: APPA

Dive Brief: The boom in AI data center development is driving significant growth in large-load interconnection requests to not-for-profit public utilities, two experts with the American Public Power Association told Utility Dive. Public power electric utilities tend to be smaller on average than investor-owned utilities,  emphasize affordability and reliability, and are often self-governing, all of which appeal to data center operators, said Patricia Taylor, APPA’s manager for regulatory policy and business programs. But smaller utilities weighing data center proposals that could dramatically increase their system loads must also take steps to protect existing ratepayers and other stakeholders, such as carefully studying the potential grid reliability impacts and ensuring fair compensation for infrastructure upgrades, said Latif Nurani, senior regulatory counsel for APPA. Dive Insight: Smaller, not-for-profit utilities have worked productively with data center operators for decades and have in some cases helped their communities evolve into significant IT hubs, Nurani and Taylor said. In north-central Oregon, Northern Wasco County People’s Utility District nearly quadrupled its annual revenues from $32 million in 2016 to $120 million in 2024 and expects to reach $300 million “in the next few years,” CEO and General Manager Roger Kline said on an APPA podcast in July. Google data centers drove much of that increase. Drawn by abundant hydropower and associated energy infrastructure, a robust workforce and a “business-friendly environment and policies,” the tech giant developed its first data center near The Dalles, Oregon, in 2006 and has since invested more than $2.4 billion in the state, it says. Google’s presence has been transformative for Northern Wasco County PUD, enabling investments in new substations, transmission lines, hydroelectric plants, advanced metering infrastructure and other projects that may have otherwise exceeded the capacity of a “small semi-rural utility” with fewer than 25,000 residential and commercial customers, Kline said last

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USA Upstream M&A Hits $17B in 1Q

In a release sent to Rigzone by the Enverus team late Tuesday, the company’s subsidiary, Enverus Intelligence Research (EIR), revealed that U.S. upstream mergers and acquisitions (M&A) hit $17 billion in deal value in the first quarter of 2025 and highlighted that this was the second best start to a year since 2018. “However, activity was disproportionately driven by one company, Diamondback Energy, which accounted for nearly 50 percent of total value between its acquisition of Double Eagle IV and a dropdown of minerals to its affiliate Viper Energy Partners,” EIR noted in the release. “Outside of Diamondback, buyers were already feeling the pressure of limited acquisition opportunities and high asking prices for undeveloped drilling inventory,” EIR added. “On top of that, upstream companies will now have to navigate significant headwinds from falling oil and equity values,” EIR warned. In the release, EIR stated that, prior to OPEC and tariffs creating waves in oil markets, pricing for quality shale inventory was a perpetually rising tide. It added that, historically, lower crude prices have taken the wind out of the sails of upstream M&A. “Going back to the start of 2014, oil prices have fallen by more than five percent quarter over quarter 17 times,” EIR highlighted. “In 11 of the quarters with materially lower crude prices, deal activity fell compared to the prior three months with an average decline in transacted deal value of 30 percent,” it pointed out. “Asset values have also declined when crude prices moved 20 percent or more lower year over year, with the value of Permian acreage falling about one-third in 2015 compared to 2014 and losing more than half its value in 2020 over 2019, based on the average price per acre paid,” it continued. “The only exception to the trend over the last

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Naftogaz Keeps Gas Prices Unchanged for Another Year

Naftogaz Group said Wednesday it will continue delivering natural gas to households in Ukraine at the current regulated rate under its fixed tariff plan. The price will remain at UAH 7.96 ($0.19) per cubic meter until April 2026 to reflect the current moratorium on raising natural gas tariffs, the state-owned oil and gas company said in an online statement. However, the company added, “Naftogaz also encourages consumers to pay their bills on time”. Acting chief executive Roman Chumak added, “These payments help maintain the country’s energy stability in the face of ongoing attacks on critical infrastructure”. “Supplying gas to households remains a core priority. We continue to ensure stable delivery and meet our obligations to consumers, even in the most critical conditions”, said Chumak. Naftogaz said it remains a reliable gas supplier for 12.5 million households. According to the company it led Ukraine through last winter without gas blackouts. “Risks peaked in February, when large-scale Russian missile attacks on gas production facilities led to the sudden loss of nearly half of the state’s output. These events created a perfect storm that could have caused a nationwide gas blackout at any moment”, according to a company report Monday that said 34 of Naftogaz’s gas production sites had been attacked in 2024-25. The report said for next winter Naftogaz has contracted 400 million cubic meters of gas. “Since the beginning of the year, 1.5 billion cubic meters of gas have been contracted: 800 million cubic meters were urgently imported early in the year, 400 million cubic meters will be delivered to Ukraine as part of the winter readiness plan”, Chumak said. “In addition, Naftogaz purchased 300 million cubic meters of LNG from ORLEN”. Naftogaz had signed an LNG cooperation deal with Poland’s majority state-owned ORLEN SA to help Ukraine diversify its energy

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Decarbonise North Sea ‘damn hard and damn fast’

The UK needs to focus on decarbonising the North Sea energy industry “damn hard and damn fast”. A panel of industry specialists at a conference discussed what Energy Industries Council (EIC) president Campbell Keir called an “urgent necessity” to “reshape industries, create new partnerships, generate sustainable jobs and secure a future where energy and environment responsibilities built together”. In the first session of the North Sea Decarbonisation conference, RV Ahilan Ahilan, chief energy transition officer of ABL Group, admitted annoyance with UK energy policy. ABL, is headquartered in London but listed on the Oslo stock exchange which gives the global firm insight into both sectors of the North Sea. “Even looking across the pond to Norway, we have a completely inconsistent policy about oil and gas development between the two countries. “One is ready to have no oil and gas licenses. The other one is saying we should have more “We have to somehow find a way to attract industry that can work on both sides of this agenda, and that’s the bit that I’m consistently having to struggle with. “The second part is that I think it’s also very annoying that we have a decarbonisation target and yet heavy subsidies for fossil fuels and subsidies for renewables without actually redirecting those in an efficient manner across the country’s GDP. That’s a big problem. It’s putting the foot on the accelerator and on the break at the same time and expecting decarbonisation to happen. And that’s very provocative. Matt Abraham, head of operations for James Fisher and Sons, called for acceleration of North Sea decommissioning as a means of driving carbon reduction and industry innovation while also maintaining oil and gas production “We could lead the world in the decommissioning of installation. Genuinely, there’s a whole lot of new different

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Norway Monthly Gas Output Falls: Preliminary Data

Preliminary official figures released Wednesday showed Norway produced 351.3 million standard cubic meters a day (MMscmd) of natural gas in March, dropping month-on-month and year-on-year but beating the official forecast by 0.4 percent. The Nordic country, which has displaced Russia as the European Union’s top source of pipeline gas in the aftermath of the war in Ukraine, sold 10.9 billion standard cubic meters (Bscm) in March. That is up 100 MMscm from February, according to figures published online by the Norwegian Offshore Directorate. According to the latest quarterly gas market report of the European Commission, Norway accounted for 50 percent of gas imported into the EU by pipeline in the fourth quarter of 2024. In March Equinor ASA said it has put the Halten East field in the Norwegian Sea onstream, unlocking new gas for Europe. “We are starting up Halten East at a time where piped gas from Norway is in high demand and important for energy security”, Geir Tungesvik, executive vice president for projects, drilling and procurement at Equinor, said in a company statement March 17. Halten East, a tie-in to be developed in two phases, holds about 100 million barrels of oil equivalent recoverable reserves, according to the Norwegian majority state-owned energy company. “The second phase is planned in 2029”, Equinor said. Meanwhile Norway’s oil production in March 2025 averaged 1.76 million barrels per day (MMbd), up sequentially but down year-over-year. In late March Equinor achieved first oil at the Johan Castberg field in the Barents Sea, growing Norway’s production capacity by 220,000 barrels per day (bpd) at peak. “The Johan Castberg field will contribute crucial energy, value creation, ripple effects and jobs for at least 30 years to come”, Tungesvik said. Recoverable volumes are estimated to be 450-650 million barrels, Equinor said. “Johan Castberg opens a

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Energy Security is National Security, OEUK Says

Energy security is national security, industry body Offshore Energies UK (OEUK) stated in a release sent to Rigzone by the OEUK team on Tuesday, which highlighted that OEUK is holding a Security and Resilience Conference in Aberdeen at the end of the month. In the release, OEUK noted that “specialists from industry, defense policy, the security services, and academia” will address the “high-level” conference, which is being held  in the Union Kirk in Scotland on April 30. OEUK said in the release that the conference will hear from leading defense specialists at the cutting edge of technological solutions, including the use of artificial intelligence and machine learning for the enhancement of maritime security. It added that delegates will also be given an overview of approaches to defense used by other countries in protecting offshore energy supply chains. “The event will underline why energy security is national security and will give offshore energy operators and supply chain companies an overview of the collaborative approach being taken to possible risks and help them develop strategies to protect energy distribution installations from potential threats,” OEUK stated in the release. “The offshore energy industry is highly regulated with close lines of communication to the various agencies of national defense, but sharing information to protect vital UK offshore energy producers from deliberate damage to their operations is of paramount importance,” it added. In the release, Mark Wilson, OEUK’s director of health, safety, environment, and operations, who is also a former army officer, said, “this is the first event of its kind to be held by OEUK”. “Given the current geopolitical instability and the potential risks to subsea infrastructure, we believe it is important for the offshore energy industry to take seriously the need for optimum security,” he added. “We have an unbeatable line-up of leading

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Slowdown in AWS data center leasing plans poses little threat to CIOs

Oracle, according to Westfall, is committed to investing $10 billion in 2025 to build 100 new data centers and expand 66 existing ones, aiming to double its capacity this year. Likewise, Google is investing $75 billion in 2025 for data center construction, focusing on AI and cloud infrastructure, with projects such as a $600 million facility in Mesa, Arizona, and a $2 billion data center in Fort Wayne and Indiana underway, Westfall said. Meta, too, plans to spend up to $65 billion in 2025, a sizable bump up from $40 billion in 2024, primarily for data center expansion to support AI (Llama models, Meta AI) and metaverse workloads, Westfall added. However, these expansion plans will not result in the relatively smaller players catching up with AWS and Microsoft. “For smaller players like Google and Oracle, catching up with AWS and Microsoft would require historically large capital investments that likely aren’t justified by their current growth rates,” Alletto said.

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TSMC targets AI acceleration with A14 process and ‘System on Wafer-X’

Nvidia’s flagship GPUs currently integrate two chips, while its forthcoming Rubin Ultra platform will connect four. “The SoW-X delivers wafer-scale compute performance and significantly boosts speed by integrating multiple advanced compute SoC dies, stacked HBM memory, and optical interconnects into a single package,” said Neil Shah, partner and co-founder at Counterpoint Research. “This approach reduces latency, improves power efficiency, and enhances scalability compared to traditional multi-chip setups — giving enterprises and hyperscalers AI servers capable of handling future workloads faster, more efficiently, and in a smaller footprint.” This not only boosts capex savings in the long run but also opex savings in terms of energy and space. “Wafer-X technology isn’t just about bigger chips — it’s a signal that the future of AI infrastructure is being redesigned at the silicon level,” said Abhivyakti Sengar, practice director at Everest Group. “By tightly integrating compute, memory, and optical interconnects within a single wafer-scale package, TSMC targets the core constraints of AI: bandwidth and energy. For hyperscale data centers and frontier model training, this could be a game-changer.” Priorities for enterprise customers For enterprises investing in custom AI silicon, choosing the right foundry partner goes beyond performance benchmarks. It’s about finding a balance between cutting-edge capabilities, flexibility, and cost. “First, enterprise buyers need to assess manufacturing process technologies (such as TSMC’s 3nm, 2nm, or Intel’s 18A) to determine if they meet AI chip performance and power requirements, along with customization capabilities,” said Galen Zeng, senior research manager for semiconductor research at IDC Asia Pacific. “Second, buyers should evaluate advanced packaging abilities; TSMC leads in 3D packaging and customized packaging solutions, suitable for highly integrated AI chips, while Intel has advantages in x86 architecture. Finally, buyers should assess pricing structures.”

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Cloudbrink pushes SASE boundaries with 300 Gbps data center throughput

Those core components are functionally table stakes and don’t really serve to differentiate Cloudbrink against its myriad competitors in the SASE market. Where Cloudbrink looks to differentiate is at a technical level through a series of innovations including: Distributed edge architecture: The company has decoupled software from hardware, allowing their platform to run across 800 data centers by leveraging public clouds, telco networks and edge computing infrastructure. This approach reduces network latency from 300 milliseconds to between 7 and 20 milliseconds, the company says. This density dramatically improves TCP performance and responsiveness. Protocol optimization: Cloudbrink developed its own algorithms for SD-WAN optimization that bring enterprise-grade reliability to last mile links. These algorithms significantly improve efficiency on consumer broadband connections, enabling enterprise-grade performance over standard internet links. Integrated security stack: “We’ve been able to produce secure speeds at line rate on our platform by bringing security to the networking stack itself,” Mana noted. Rather than treating security as a separate overlay that degrades performance, Cloudbrink integrates security functions directly into the networking stack. The solution consists of three core components: client software for user devices, a cloud management plane, and optional data center connectors for accessing internal applications. The client intelligently connects to multiple edge nodes simultaneously, providing redundancy and application-specific routing optimization. Cloudbrink expands global reach Beyond its efforts to increase throughput, Cloudbrink is also growing its global footprint. Cloudbrink today announced a global expansion through new channel agreements and the opening of a Brazil office to serve emerging markets in Latin America, Korea and Africa. The expansion includes exclusive partnerships with WITHX in Korea, BAMM Technologies for Latin America distribution and OneTic for African markets. The company’s software-defined FAST (Flexible, Autonomous, Smart and Temporary) Edges technology enables rapid deployment of points of presence by leveraging existing infrastructure from multiple

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CIOs could improve sustainability with data center purchasing decisions — but don’t

CIOs can drive change Even though it’s difficult to calculate an organization’s carbon footprint, CIOs and IT purchasing leaders trying to reduce their environmental impact can influence data center operators, experts say. “Customers have a very large voice,” Seagate’s Feist says. “Don’t underestimate how powerful that CIO feedback loop is. The large cloud accounts are customer-obsessed organizations, so they listen, and they react.” While DataBank began using renewable energy years ago, customer demand can push more data center operators to follow suit, Gerson says. “For sure, if there is a requirement to purchase renewable power, we are going to purchase renewable power,” she adds.

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Copper-to-optics technology eyed for next-gen AI networking gear

Broadcom’s demonstration and a follow-up session explored the benefits of further developing CPC, such as reduced signal integrity penalties and extended reach, through channel modeling and simulations, Broadcom wrote in a blog about the DesignCon event. “Experimental results showed successful implementation of CPC, demonstrating its potential to address bandwidth and signal integrity challenges in data centers, which is crucial for AI applications,” Broadcom stated. In addition to the demo, Broadcom and Samtec also authored a white paper on CPC that stated: “Co-packaged connectivity (CPC) provides the opportunity to omit loss and reflection penalties from the [printed circuit board (PCB)] and the package. When high speed I/O is cabled from the top of the package advanced PCB materials are not necessary. Losses from package vertical paths and PCB routing can be transferred to the longer reach of cables,” the authors stated. “As highly complex systems are challenged to scale the number of I/O and their reach, co- packaged connectivity presents opportunity. As we approach 224G-PAM4 [which uses optical techniques to support 224 Gigabits per second data rates per optical lane] and above, system loss and dominating noise sources necessitate the need to re-consider that which has been restricted in the back of the system architect’s mind for years: What if we attached to the package?” At OFC, Samtec demonstrated its Si-FlyHD co-packaged cable assemblies and Samtec FlyoverOctal Small Form-factor Pluggable (OSFP) over the Samtec Eye Speed Hyper Low Skew twinax copper cable. Flyover is Samtec’s proprietary way of addressing signal integrity and reach limitations of routing high-speed signals through traditional printed circuit boards (PCBs). “This evaluation platform incorporates Broadcom’s industry-leading 200G SerDes technology and Samtec’s co-packaged Flyover technology. Si-Fly HD CPC offers the industry’s highest footprint density and robust interconnect which enables 102.4T (512 lanes at 200G) in a 95 x

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The Rise of AI Factories: Transforming Intelligence at Scale

AI Factories Redefine Infrastructure The architecture of AI factories reflects a paradigm shift that mirrors the evolution of the industrial age itself—from manual processes to automation, and now to autonomous intelligence. Nvidia’s framing of these systems as “factories” isn’t just branding; it’s a conceptual leap that positions AI infrastructure as the new production line. GPUs are the engines, data is the raw material, and the output isn’t a physical product, but predictive power at unprecedented scale. In this vision, compute capacity becomes a strategic asset, and the ability to iterate faster on AI models becomes a competitive differentiator, not just a technical milestone. This evolution also introduces a new calculus for data center investment. The cost-per-token of inference—how efficiently a system can produce usable AI output—emerges as a critical KPI, replacing traditional metrics like PUE or rack density as primary indicators of performance. That changes the game for developers, operators, and regulators alike. Just as cloud computing shifted the industry’s center of gravity over the past decade, the rise of AI factories is likely to redraw the map again—favoring locations with not only robust power and cooling, but with access to clean energy, proximity to data-rich ecosystems, and incentives that align with national digital strategies. The Economics of AI: Scaling Laws and Compute Demand At the heart of the AI factory model is a requirement for a deep understanding of the scaling laws that govern AI economics. Initially, the emphasis in AI revolved around pretraining large models, requiring massive amounts of compute, expert labor, and curated data. Over five years, pretraining compute needs have increased by a factor of 50 million. However, once a foundational model is trained, the downstream potential multiplies exponentially, while the compute required to utilize a fully trained model for standard inference is significantly less than

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Microsoft will invest $80B in AI data centers in fiscal 2025

And Microsoft isn’t the only one that is ramping up its investments into AI-enabled data centers. Rival cloud service providers are all investing in either upgrading or opening new data centers to capture a larger chunk of business from developers and users of large language models (LLMs).  In a report published in October 2024, Bloomberg Intelligence estimated that demand for generative AI would push Microsoft, AWS, Google, Oracle, Meta, and Apple would between them devote $200 billion to capex in 2025, up from $110 billion in 2023. Microsoft is one of the biggest spenders, followed closely by Google and AWS, Bloomberg Intelligence said. Its estimate of Microsoft’s capital spending on AI, at $62.4 billion for calendar 2025, is lower than Smith’s claim that the company will invest $80 billion in the fiscal year to June 30, 2025. Both figures, though, are way higher than Microsoft’s 2020 capital expenditure of “just” $17.6 billion. The majority of the increased spending is tied to cloud services and the expansion of AI infrastructure needed to provide compute capacity for OpenAI workloads. Separately, last October Amazon CEO Andy Jassy said his company planned total capex spend of $75 billion in 2024 and even more in 2025, with much of it going to AWS, its cloud computing division.

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John Deere unveils more autonomous farm machines to address skill labor shortage

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Self-driving tractors might be the path to self-driving cars. John Deere has revealed a new line of autonomous machines and tech across agriculture, construction and commercial landscaping. The Moline, Illinois-based John Deere has been in business for 187 years, yet it’s been a regular as a non-tech company showing off technology at the big tech trade show in Las Vegas and is back at CES 2025 with more autonomous tractors and other vehicles. This is not something we usually cover, but John Deere has a lot of data that is interesting in the big picture of tech. The message from the company is that there aren’t enough skilled farm laborers to do the work that its customers need. It’s been a challenge for most of the last two decades, said Jahmy Hindman, CTO at John Deere, in a briefing. Much of the tech will come this fall and after that. He noted that the average farmer in the U.S. is over 58 and works 12 to 18 hours a day to grow food for us. And he said the American Farm Bureau Federation estimates there are roughly 2.4 million farm jobs that need to be filled annually; and the agricultural work force continues to shrink. (This is my hint to the anti-immigration crowd). John Deere’s autonomous 9RX Tractor. Farmers can oversee it using an app. While each of these industries experiences their own set of challenges, a commonality across all is skilled labor availability. In construction, about 80% percent of contractors struggle to find skilled labor. And in commercial landscaping, 86% of landscaping business owners can’t find labor to fill open positions, he said. “They have to figure out how to do

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2025 playbook for enterprise AI success, from agents to evals

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More 2025 is poised to be a pivotal year for enterprise AI. The past year has seen rapid innovation, and this year will see the same. This has made it more critical than ever to revisit your AI strategy to stay competitive and create value for your customers. From scaling AI agents to optimizing costs, here are the five critical areas enterprises should prioritize for their AI strategy this year. 1. Agents: the next generation of automation AI agents are no longer theoretical. In 2025, they’re indispensable tools for enterprises looking to streamline operations and enhance customer interactions. Unlike traditional software, agents powered by large language models (LLMs) can make nuanced decisions, navigate complex multi-step tasks, and integrate seamlessly with tools and APIs. At the start of 2024, agents were not ready for prime time, making frustrating mistakes like hallucinating URLs. They started getting better as frontier large language models themselves improved. “Let me put it this way,” said Sam Witteveen, cofounder of Red Dragon, a company that develops agents for companies, and that recently reviewed the 48 agents it built last year. “Interestingly, the ones that we built at the start of the year, a lot of those worked way better at the end of the year just because the models got better.” Witteveen shared this in the video podcast we filmed to discuss these five big trends in detail. Models are getting better and hallucinating less, and they’re also being trained to do agentic tasks. Another feature that the model providers are researching is a way to use the LLM as a judge, and as models get cheaper (something we’ll cover below), companies can use three or more models to

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OpenAI’s red teaming innovations define new essentials for security leaders in the AI era

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI has taken a more aggressive approach to red teaming than its AI competitors, demonstrating its security teams’ advanced capabilities in two areas: multi-step reinforcement and external red teaming. OpenAI recently released two papers that set a new competitive standard for improving the quality, reliability and safety of AI models in these two techniques and more. The first paper, “OpenAI’s Approach to External Red Teaming for AI Models and Systems,” reports that specialized teams outside the company have proven effective in uncovering vulnerabilities that might otherwise have made it into a released model because in-house testing techniques may have missed them. In the second paper, “Diverse and Effective Red Teaming with Auto-Generated Rewards and Multi-Step Reinforcement Learning,” OpenAI introduces an automated framework that relies on iterative reinforcement learning to generate a broad spectrum of novel, wide-ranging attacks. Going all-in on red teaming pays practical, competitive dividends It’s encouraging to see competitive intensity in red teaming growing among AI companies. When Anthropic released its AI red team guidelines in June of last year, it joined AI providers including Google, Microsoft, Nvidia, OpenAI, and even the U.S.’s National Institute of Standards and Technology (NIST), which all had released red teaming frameworks. Investing heavily in red teaming yields tangible benefits for security leaders in any organization. OpenAI’s paper on external red teaming provides a detailed analysis of how the company strives to create specialized external teams that include cybersecurity and subject matter experts. The goal is to see if knowledgeable external teams can defeat models’ security perimeters and find gaps in their security, biases and controls that prompt-based testing couldn’t find. What makes OpenAI’s recent papers noteworthy is how well they define using human-in-the-middle

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