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Acer unveils Acer Swift Go and Aspire Vero 16 laptops with latest chips and up to 99 TOPS AI

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Acer unveiled new models in its Acer Swift Go and Acer Aspire Vero laptop families with the latest components from Intel and AMD. The Acer Swift Go 16 and Swift Go 14  laptops deliver the latest performance […]

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Acer unveiled new models in its Acer Swift Go and Acer Aspire Vero laptop families with the latest components from Intel and AMD.

The Acer Swift Go 16 and Swift Go 14  laptops deliver the latest performance with up to Intel Core Ultra 9 processor 285H (Series 2), featuring Intel Arc graphics and onboard AI tools to deliver up to 99 total on-device AI TOPS.

Both laptops come with the option of a 3K OLED or 2K IPS touch display (16-inch and 14-inch, respectively) and they both have long battery life. They also include WiFi 7, a 1440p QHD webcam with three mics, a wide range of ports (including two USB Type-A ports), all wrapped up in a thin/light chassis. The Swift Go 14 has up to 1TB of storage. The Swift Go 16 provides up to 22.3 hours of video playback, while the Swift Go 14 provides up to 27.5 hours of video playback.

The Acer Swift Go 16 (SFG16-73/T) will be available in North America in April, starting at $950. And the Acer Swift Go 14 (SFG14-74/T) will be available in North America in May, starting at $900. 

Acer Vero 16 laptop.
Acer Vero 16 laptop.

The Aspire Vero 16 (AV16-71P) laptop is committed to carbon neutrality throughout its lifecycle, based on its calculated carbon footprint offset. It features a chassis of which more than 70% is made from a blend of post-consumer recycled plastic and bio-based oyster shell material, and is made with an easy-to-repair design. A CES Innovation Award 2025 Honoree, the carbon-neutral Aspire Vero 16 is the world’s first laptop made with bio-based oyster shell material. I never thought I would see that.

The Vero 16 is powered by up to Intel Core Ultra 7 255H processors and provides up to 10.5 hours battery life. The 16-inch display brings clear, sharp images with 100% sRGB color gamut support and a wide aspect ratio thanks to slim bezels. Collaboration and security are enhanced with a high-resolution 1440P QHD webcam, privacy features, vital connectivity options in Wi-Fi 7, HDMI 2.1, DTS Audio and two Thunderbolt 4 ports. The laptop weighs 3.97 pounds and it has a 65-watt lithium ion battery.

The Acer Aspire Vero 16 (AV16-71P) will be available in North America in April, starting at $800.

The Acer Connect M6E 5G mobile Wi-Fi device, with sim card, virtual sim, and SignalScan technology support, provides high-speed 5G network access in over 135 countries, eliminating the hassle of weak signals and dropped connections.

The 8,000 mAh high-capacity battery supports fast-charging through a USB Type-C port, while users can enjoy up to 28 hours of uninterrupted high-speed internet connectivity. 

The Acer Connect M6E 5G Mobile Wi-Fi device will be available in North America in Q1, starting at $250. 

The Acer Wave D7 Wi-Fi Dongle delivers congestion-free Wi-Fi 7 speeds of up to 2,880 Mbps (6 GHz) with tri-band technology. With USB Type-A and a base with USB Type-C connector, flexible installation plus faster transfer speeds are possible through direct plug-and-play. The powerful dongle can support Wi-Fi 7 BE6500 combined throughput across all bands (2.4, 5, and 6 GHz). MLO+ multi-link switching minimizes network fluctuations and supports load balancing by connecting to two wireless access points simultaneously. 

The Acer Wave D7 Wi-Fi Dongle will be available in North America in Q1, starting at $80. 

AI models

The Acer Swift Go 14 AI model.

In addition to the Swift Go models listed above, Acer has also launched the Swift Go 16 AI (SFG16-61/T) and Swift Go 14 AI (SFG14-64/T). 

These new Copilot+ PCs deliver the latest AI capabilities powered by new AMD Ryzen AI 300 Series (Ryzen 7 350 or Ryzen 7 340) processors that deliver up to 50 NPU TOPS and the latest AMD Radeon 800M graphics for improved streaming, editing and more while providing long battery life.

The 16-inch or 14-inch displays (respectively) come in three display options: 3K OLED, 2K OLED or 2K IPS touch. They  feature an all-new anodized aluminum chassis design with a dual arrow pattern that highlights the laptops’ svelte form factors. They also come with the latest features, ports and more. 

The Swift Go 16 AI (SFG16-61/T) provides up to 18 hours of video playback and the Swift Go 14 AI (SFG14-64/T) provides up to 24.9 hours of video playback.

The Acer Swift Go 16 AI (SFG16-61/T) will be available in North America in April 2025, starting at $950. And the Acer Swift Go 14 AI (SFG14-64/T) will be available in North America in May 2025, starting at $900.

Another new Copilot+ PC is the Acer Aspire 14 AI laptop (A14-52M/A14-52MT). It combines all the essentials and up to 22 hours of video playback on a battery charge.

It’s powered by Intel Core Ultra processors (Series 2) and an integrated neural processing unit (NPU) to accelerate AI workloads. The 180-degree hinge lets the display lay flat for collaboration, while its 3.09-pound lightweight design means it’s easy to transport. It comes with either a 14-inch 16:10 OLED option or WUXGA touch-enabled panel. It also features up to 32 GB LPDDR5X memory, two powerful Thunderbolt 4 Type-C ports and HDMI 2.1, which can support up to an 8K monitor. And it has two USB 3.2 Gen 1 Type-A ports. It weighs 3.09 pounds.

The Acer Aspire 14 AI (A14-52M/A14-52MT) will be available in North America in February, starting at $800.

Featuring a minimalist white profile, the Acer Aspire S AI AIOs elevate home computing with a sleek style. The series includes the Aspire S24 AI (S24A-GLNL/S24A-TLNL) with a 23.8-inch Full HD 120 Hz display and the Aspire S27 AI (S27A-ELNL/S27A-TLNL/S27A-ULNL) with a 27-inch display available in both Full HD and QHD (2560×1440). They come with an Intel Core Ultra 7 processor (Series 2) (Intel AI Boost Capable)

Both models offer touch panel options. The flexible design allows for optimal viewing angles with a tilt range of -3 to 25 degrees. It’s powered by up to Intel Core Ultra processors (Series 2) with up to 48 NPU TOPS and integrated Intel Arc graphics.  A variety of ports include HDMI 2.0, two USB 3.2, two USB 2.0, and USB 3.2 Gen 2 Type-C. They come with LPDDR5X memory.

The Acer Aspire S24 AI ($1,300) and the Acer Aspire S27 AI ($1,400) will be available in Q2.

The Acer Aspire C24 AI (C24B-GKRK/C24B-GSTX) and Aspire C27 AI (C27B-GKRK/C27B-GSTX) target those seeking an elegant all-in-one PC delivering beautiful visuals in a slim and appealing package. The 23.8-inch and 27-inch displays with up to QHD (2560×1440) resolution and a rapid 180 Hz refresh rate, deliver immersive entertainment.

They’re powered by up to an AMD Ryzen AI 300 Series processor with an NPU providing up to 50 TOPS, up to 64 GB of DDR5 memory, up to a 1 TB M.2 PCIe SSD and AMD Radeon 800M graphics to handle demanding tasks. The adjustable screen tilt from -5° to 20° ensures optimal viewing comfort. A wide range of ports includes DisplayPort, USB 2.0 Type-C and HDMI, while Wi-Fi 6 and Bluetooth 5.2 deliver seamless wireless connectivity. Both come with Bluetooth 5.4 and 5MP cameras.

The Aspire C27 offers up to AMD Ryzen AI 9 HX 370 processors. And the Aspire C27 offers up to AMD Radeon 890M graphics.

The Acer Aspire C24 AI (C24B-GKRK/C24B-GSTX) will be available in Q2 for $1,000 and Aspire C27 AI (C27B-GKRK/C27B-GSTX) will be available in Q2 for $1,100.

The Acer Revo Box AI (RB102-LNL) is a diminutive powerhouse measuring just 0.75 liters and weighing a mere 0.5 kg. Powered by Intel Core Ultra processors (Series 2), Intel Arc Graphics and up to 32 GB of LPDDR5X, it delivers impressive performance for everyday tasks and entertainment. A wide range of ports, include DisplayPort 2.1, HDMI 2.1, LPDDR5 memory, Wi-Fi 6E and Bluetooth 5.3, a USB 4 Type-C port, and dual 2.5G ethernet ports. The Revo Box AI also comes with a wireless Elite 19 mouse and keyboard.

It will be available in Q2 for $800.

More handheld gaming devices

Acer Nitro Blaze 11 gaming handheld.

Acer also announced new Nitro Blaze gaming handhelds.

The Acer Nitro Blaze 8 and Nitro Blaze 11 deliver rapid gameplay and responsiveness, powered by AMD Ryzen 8040 Series processors with up to 39 total AI TOPS, up to 2 TB of storage and 16 GB LPDDR5x memory.

Immersive visuals are delivered on WQXGA touch displays (8.8-inch or 10.95-inch), with up to 144 Hz refresh rates, 500 nits brightness, paired with AMD Radeon 780M Graphics, Radeon Super Resolution and FidelityFX Super Resolution technology for rapid graphical upscaling and stunning tear-free frames. Managing and accessing the most in-demand games applications are made seamless thanks to the dedicated Acer Game Space application.

They also feature DTS:X Ultra Audio and Hall Effect triggers and sticks. Fast connectivity options include USB 4 (Type-C), USB 3.2, Wi-Fi 6E and Bluetooth 5.3. The larger Nitro Blaze 11 also includes detachable controllers for solo and connected play and a sturdy built-in stand, plus a front camera for video calls and streaming. 

Pricing and availability: Acer Nitro Blaze 8 is $900 and available in Q2; Acer Nitro Blaze 11 will be $1,100 and available in Q2.

Game controller

The Nitro Mobile Gaming Controller sports a portable and foldable design, ideal for players who want to game as they go. The plug-and-play controller is compatible with Android and iOS devices, featuring an adjustable design that accommodates screens up to 8.3 inches.

It connects to phones seamlessly via a USB Type-C port, and the included rubber pads provide secure grips, holding devices of various sizes, even with cases, while ensuring a comfortable feel during gameplay. Gaming sessions are kept uninterrupted with pass-through 18-watt fast-charging support to ensure extended, and worry-free gameplay. 

The Nitro Mobile Gaming Controller will be available in North America in Q2 for $70.

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Morson Group acquires Manchester engineering firm Orange Solutions

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Shell Flags Lower Gas Earnings as 2024 Ended on a Weak Note

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USA Gas Prices Were Put Through the Wringer in 2024

U.S. gas prices were put through the wringer in 2024. That’s what a BofA Global Research report sent to Rigzone on Tuesday by the BofA Global Research team stated, highlighting that Henry Hub natural gas prices averaged “just $2.41 per million British thermal units (MMBtu)”. That was “the lowest level since 2020 and second lowest level in at least 25 years”, the report pointed out. “Loose balances pushed storage to a multi-year high of 678 billion cubic feet (Bcf) above five-year average levels in March, but agile producers and strong power sector demand helped whittle that surplus down to just 154 Bcf by year end,” the report said. “Tightening storage, the first forecast for significant cold, and news that the Plaquemines terminal will begin shipping LNG cargos in January helped push Henry Hub gas up to $4 per MMBtu by late December,” it added, noting that “since then, weather forecasts have shed HDDs, causing gas to ease lower”. The BofA Global Research report stated that U.S. output has likely peaked seasonally and predicted that this “should fall back below 104 Bcf per day (Bcfpd) by spring, before regaining its footing into year-end and registering 2.3 Bcfpd of growth year on year”. “Most year on year growth will come from the Permian (1.9 Bcfpd) due to the ramp up of supply into year-end 2024 as the Matterhorn pipeline allowed supply to rise, and the Northeast (0.5Bcfpd), where the mid-2024 MVP start-up should support higher output this year,” the report added. According to the U.S. Energy Information Administration’s (EIA) latest short term energy outlook (STEO), which was released last month, U.S. dry natural gas production will average 103.3 Bcfpd in the first quarter of 2025, 104.0 Bcfpd in the second quarter, 103.6 Bcfpd in the third quarter, 103.9 Bcfpd in the fourth

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Data centers drive growth, risk for PG&E, Constellation, NorthWestern: BofA

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Former Lloyds Register consultants find success in Cyprus

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Wind power was largest source of electricity in 2024

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Cisco in 2025: Lots of hard work ahead

Hypershield is comprised of AI-based software, virtual machines, and other technology that will ultimately be baked into networking components such as switches, routers and servers. It promises to let organizations autonomously segment their networks when threats are a problem, gain rapid exploit protection without having to patch or revamp firewalls, and automatically upgrade software without interrupting computing resources, Cisco said. Networking, AI and platformization goals Looking ahead, Cisco needs to refocus on enterprise networking and work to make the data center an all-inclusive home for AI applications, industry watchers say. Security technologies must continue to be a priority as well. “2025 will be an important year for Cisco as the company executes ambitious internal changes while looking to capitalize on a dynamic external environment driven by the AI opportunity,” said Brandon Butler, senior research manager, enterprise networks, with IDC.  Revamped leadership will play a role: In August 2024, Cisco announced plans to reconfigure its networking, security and collaboration business units as part of a restructuring that included a 7% global workforce reduction and established Jeetu Patel as chief product officer. “As for the internal changes, the ascension of Jeetu Patel to executive vice president and chief product officer is a significant move for the company. Patel has an opportunity to more closely unify Cisco’s broad product portfolio while ensuring it aligns with top growth areas,” Butler said. A key part of this strategy will be Cisco’s vision for a platform approach to networking and security, which enables more unified experiences and management across Cisco’s products and allows integrated features, like AI, observability and security, to be baked into each one, Butler said.

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Point2 aims to cut data center power consumption through smart cabling

The P1B121 is suitable for a range of data center configurations, including in-rack and adjacent rack setups such as top-of-rack switch-to-server connectivity, rack-to-rack connectivity, and accelerator-to-accelerator compute fabric connectivity. The 112G PAM4 Smart Retimer requires only 3.0W of power consumption per chip, so 6 W total for each cable. That’s half of the 25 W of traditional networking cables. It reduces cable power and cooling demands while achieving an impressive chip latency of 3ns, which is 20 times lower than DSP-based PAM4 Retimers currently available. That can add up, Kuo notes, as a rack can have anywhere from 30 to 150 cables in it. Now multiply each cable by 12 W instead of 25 W and you’ve got a significant savings. There is also savings on weight. To compensate for signal loss, some cable makers simply use more copper, making cabling thicker. Having retimer chips allows you to extend the cable link without having to go to a thicker gauge copper wiring. The Point2 retimer supports the current speeds of 400 Gb/s as well as the upcoming 800 Gb products coming to market and the 1.6 Tb in the coming years, said Kuo. Point2 customers are designing cables now and will be delivering them in the first half of 2025, he added.

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How adding capacity to a network could reduce IT costs

Higher capacity throughout the network means less congestion. It’s old-think, they say, to assume that if you have faster LAN connections to users and servers, you’ll admit more traffic and congest trunks. “Applications determine traffic,” one CIO pointed out. “The network doesn’t suck data into it at the interface. Applications push it.” Faster connections mean less congestion, which means fewer complaints, and more alternate paths to take without traffic delay and loss, which also reduces complaints. In fact, anything that creates packet loss, outages, even latency, creates complaints, and addressing complaints is a big source of opex. The complexity comes in because network speed impacts user/application quality of experience in multiple ways, ways beyond the obvious congestion impacts. When a data packet passes through a switch or router, it’s exposed to two things that can delay it. Congestion is one, but the other is “serialization delay.” This complex-sounding term means that you can’t switch a packet if you don’t have it all, and so every data packet is delayed until it’s all received. The length of that delay is determined by the speed of the connection it arrives on, so fast interfaces always offer better latency, and the delay a given packet experiences is the sum of the serialization delay of each interface it passes through. Application designs, component costs and AI reshape views on network capacity You might wonder why enterprises are starting to look at this capacity-solves-problems point now, versus years or decades earlier. They say there’s both a demand and supply-side answer. On the demand side, increased componentization of applications, including the division of component hosting between data center and cloud, has radically increased the complexity of application workflows. Monolithic applications have simple workflows—input, process, output. Componentized ones have to move messages among the components, and each

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Scorecard: Looking Back at Data Center Frontier’s 2024 Industry Predictions

2.  Rethinking Power on Every Level  PREDICTION:  Utilities are struggling to upgrade transmission networks to support the surging requirement for electricity to power data centers. CBRE recently said that data center construction completion timelines have been extended by 24 to 72 months due to power supply delays. Although the constraints in Northern Virginia have made headlines, power availability has quickly become a global challenge, impacting major markets in Europe and Asia as well as U.S. hubs like Ashburn, Santa Clara, and sections of Dallas and Suburban Chicago. Last year we predicted the rise of on-site power generation, but we’ve yet to truly see this at scale. But data center operators are working on a range of new approaches to power. Expect to see innovations in power continue as data centers seek better visibility into their power sourcing. MASSIVE HIT:  This prediction was a huge “Hit,” as evidenced by 2024 data from leading commercial real estate firms CBRE, JLL, and Cushman & Wakefield, and other sources. Throughout the year, data center operators reported facing significant challenges in securing adequate power from utilities, leading to increased interest in adoption of on-site power generation solutions, as reflected by many industry discussions this year. The bottom line on this prediction might be the release of this year’s DOE-backed report indicating that U.S. data center power demand could nearly triple in the next three years, potentially consuming up to 12% of the country’s electricity, underscoring the urgency for alternative power solutions. In terms of the largest data center markets, VPM and others noted how Dominion Energy is projecting unprecedented energy demand from data centers in Virginia, posing significant challenges for accommodating this industry growth in the coming decades. In a noteable effort to shore up that gap, Dominion Energy, American Electric Power (AEP), and FirstEnergy

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How 2024, the Year That Re-Energized Nuclear Power, Foretells Ongoing ‘New Nuclear’ Developments for Data Centers in 2025

In a world increasingly focused on advanced nuclear technologies and their integration with energy-intensive sectors like data centers, nuclear power could change the way that the world gets its electricity and finally take its place as a clean, renewable, source of power. Evidence of this shift toward nuclear energy and data centers’ role in it came in abundance last year, as the U.S. nuclear energy sector was observed undergoing a sea change with regard to the data center industry. We saw Microsoft, Constellation, AWS, Talen, and Meta with major data center nuclear energy announcements in the Second Half of 2024. With the surge in nuclear stakes has also come a wave of landmark PPAs representing the “new nuclear” industry’s ascendance. To wit, in the latter half of 2024, the data center industry witnessed significant developments concerning “new nuclear” energy integration, specifically in the area of plans for forthcoming nuclear small modular reactor (SMR) deployments by cloud hyperscalers.  Some of the most notable announcements included: Amazon’s Investment in Nuclear Small Modular Reactors (SMRs): October 2024 saw Amazon reveal partnerships with Dominion Energy and X-energy to develop and deploy 5 gigawatts (GW) of nuclear energy, in a bid for future powering of its data centers with carbon-free energy. Google’s SMR Pact with Kairos Power: Also in October 2024, Google announced plans to collaborate with Kairos Power to build up to seven SMRs, providing up to 500 megawatts of power. The first unit is expected to come online by 2030, with the entire project slated for completion by 2035. Oracle’s Gigawatt-Scale SMR Plans: In September 2024, Oracle announced plans to construct a gigawatt-scale data center powered by three small modular reactors (SMRs). Company Founder and CTO Larry Ellison revealed that building permits for these reactors have been secured, and that the project was currently in its design phase. The company said

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Data Center Jobs: Sales and Engineering Jobs Available in Major Markets

Each month Data Center Frontier, in partnership with Pkaza, posts some of the hottest data center career opportunities in the market. Here’s a look at some of the latest data center jobs posted on the Data Center Frontier jobs board, powered by Pkaza Critical Facilities Recruiting. Critical Facilities Operations Electrician Sumner, WAWe also have critical facilities engineer positions available in: Ashburn, VA; Elk Grove Village, IL and Sumner, WA (non-electrician role). This opportunity is working directly with a leading mission-critical data center colo provider. This firm provides data center solutions custom-fit to the requirements of their client’s mission-critical operational facilities. They provide reliability of mission-critical facilities for many of the world’s largest organizations facilities supporting enterprise clients and hyperscale companies. This opportunity provides a career-growth minded role with exciting projects with leading-edge technology and innovation as well as competitive salaries and benefits. Electrical Commissioning Engineer New Albany, OH (Contract or Perm in New Albany Only) This traveling position is also available as a FTE in: Boydton, VA; Richmond, VA; Ashburn, VA; Charlotte, NC; Atlanta, GA; Hampton, GA; Fayetteville, GA; Orlando, FL; Nashville, TN; Des Moines, IA; San Diego, CA; San Jose, CA; Portland, OR; Boardman, OR; Boise, ID; Salt Lake City, UT; Phoenix, AZ; Santa Fe, NM; Dallas, TX; Reno, NV; Chicago, IL or Toronto, ON. *** ALSO looking for a LEAD EE and ME CxA Agents.*** Our client is an engineering design and commissioning company that has a national footprint and specializes in MEP critical facilities design. They provide design, commissioning, consulting and management expertise in the critical facilities space. They have a mindset to provide reliability, energy efficiency, sustainable design and LEED expertise when providing these consulting services for enterprise, colocation and hyperscale companies. This career-growth minded opportunity offers exciting projects with leading-edge technology and innovation as well as

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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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