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Tech leaders respond to the rapid rise of DeepSeek

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More If you hadn’t heard, there’s a new AI star in town: DeepSeek, the subsidiary of Hong Kong-based quantitative analysis (quant) firm High-Flyer Capital Management, has sent shockwaves throughout Silicon Valley and the wider world with its […]

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More


If you hadn’t heard, there’s a new AI star in town: DeepSeek, the subsidiary of Hong Kong-based quantitative analysis (quant) firm High-Flyer Capital Management, has sent shockwaves throughout Silicon Valley and the wider world with its release earlier this week of a new open source large reasoning model, DeepSeek R1, that matches OpenAI’s most powerful available model o1 — and at a fraction of the cost to users and to the company itself (when training it).

While the advent of DeepSeek R1 has already reshuffled a consistently topsy turvy, fast moving, intensely competitive market for new AI models — previous months saw OpenAI jockeying with Anthropic and Google for the most powerful proprietary models available, while Meta Platforms often came in with “close enough” open source rivals — the difference this time is the company behind the hot model is based in China, the geopolitical “frenemy” of the U.S., and whose tech sector was widely viewed, until this moment, as inferior to that of Silicon Valley.

As such, it’s caused no shortage of hand-wringing and existentialism from U.S. and Western bloc techies, who are suddenly doubting OpenAI and the general big tech strategy of throwing more money and more compute (graphics processing units, GPUs, the powerful gaming chips typically used to train AI models) toward the problem of inventing ever more powerful models.

Yet some Western tech leaders have had a largely positive public response to DeepSeek’s rapid ascent.

Marc Andreessen, a co-inventor of the pioneering Mosaic web browser, co-founder of the Netscape browser company and current general partner at the famed Andreessen Horowitz (a16z) venture capital firm, posted on X today: “Deepseek R1 is one of the most amazing and impressive breakthroughs I’ve ever seen — and as open source, a profound gift to the world [robot emoji, salute emoji].”

Yann LeCun, the Chief AI Scientist for Meta’s Fundamental AI Research (FAIR) division, posted on his LinkedIn account:

“To people who see the performance of DeepSeek and think:
‘China is surpassing the US in AI.’
You are reading this wrong.
The correct reading is:
‘Open source models are surpassing proprietary ones.’

DeepSeek has profited from open research and open source (e.g. PyTorch and Llama from Meta)
They came up with new ideas and built them on top of other people’s work.
Because their work is published and open source, everyone can profit from it.
That is the power of open research and open source.”

And even Mark “Zuck” Zuckerberg, Meta AI’s founder and CEO, seemed to seek to counter the rise of DeepSeek with his own post on Facebook promising that a new version of Facebook’s open source AI model family Llama would be “the leading state of the art model” when it is released sometime this year. As he put it:

This will be a defining year for AI. In 2025, I expect Meta AI will be the leading assistant serving more than 1 billion people, Llama 4 will become the leading state of the art model, and we’ll build an AI engineer that will start contributing increasing amounts of code to our R&D efforts. To power this, Meta is building a 2GW+ datacenter that is so large it would cover a significant part of Manhattan. We’ll bring online ~1GW of compute in ’25 and we’ll end the year with more than 1.3 million GPUs. We’re planning to invest $60-65B in capex this year while also growing our AI teams significantly, and we have the capital to continue investing in the years ahead. This is a massive effort, and over the coming years it will drive our core products and business, unlock historic innovation, and extend American technology leadership. Let’s go build!

He even shared a graphic showing the 2 gigawatt datacenter mentioned in his post overlaid on Manhattan:

Clearly, even as he espouses a commitment to open source AI, Zuck is not convinced that DeepSeek’s approach of optimizing for efficiency while leveraging far fewer GPUs than major labs is the right one for Meta, or for the future of AI.

But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world. Or maybe it will always be a multiplicity of models each with a smaller market share? Stay tuned, because this competition is getting closer and fiercer than ever.

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Nvidia launches research center to accelerate quantum computing breakthrough

The new research center aims to tackle quantum computing’s most significant challenges, including qubit noise reduction and the transformation of experimental quantum processors into practical devices. “By combining quantum processing units (QPUs) with state-of-the-art GPU technology, Nvidia hopes to accelerate the timeline to practical quantum computing applications,” the statement added.

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Keysight network packet brokers gain AI-powered features

The technology has matured considerably since then. Over the last five years, Singh said that most of Keysight’s NPB customers are global Fortune 500 organizations that have large network visibility practices. Meaning they deploy a lot of packet brokers with capabilities ranging anywhere from one gigabit networking at the edge,

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Adding, managing and deleting groups on Linux

$ sudo groupadd -g 1111 techs In this case, a specific group ID (1111) is being assigned. Omit the -g option to use the next available group ID (e.g., sudo groupadd techs). Once a group is added, you will find it in the /etc/group file. $ grep techs /etc/grouptechs:x:1111: Adding

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Ceres Power strikes ‘record’ 2024

Fuel cell and electrolyser company Ceres Power generated record revenues and orders which narrowed losses in 2024, according to its final results for the year to 31 December. “This past year has been a record,” the company’s chief executive Phil Caldwell said on a call on Friday. “Looking ahead to next year… if we can get similar performance in 2025, that would also be a very good year.” The Horsham-based company’s revenues more than doubled over the year to £51.9 million, up from £22.3m a year earlier. Its gross margin rose to 77%, with gross profit nearly quadrupling to £40.2m, up from £13.6m in 2023. Healthy sales of services and licences and increased profitability meant pre-tax losses for the year halved to £25.9m, from a £53.6m loss in the prior year. Caldwell attributed the results, including a record order book of £112.8m for the period, to “progress” that the company has made with its partners. The firm signed three “significant” partner licence agreements in the year, although it was also disappointed” that its shareholder Bosch announced in February it would cease production of the firm’s fuel cells and divest its minority stake. During the period, Ceres signed two new manufacturing licensees, Taiwan-based Delta Electronics and Denso in Japan, together with India’s electrolyser company Thermax. “What that does is that builds out our market share and really where this business becomes profitable is, as those partners get to market and we’ve started to get products in the market, that’s where we get royalties and that’s what really drives the business forwards,” he said. “So, making progress with existing partners and also adding new partners to that is really how we grow the business.” First hydrogen production This fiscal year, the fuel cell and electrolyser company said it expects to reach initial

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UK net zero innovators to showcase pioneering tech in Aberdeen

Leading energy technology companies from across the UK will head to Aberdeen in April for the Net Zero Innovators conference at the P&J Live. Organised by the Net Zero Technology Centre (NZTC), the event comes amid a multibillion-pound boom in the UK’s energy transition sector. Taking place on 3 April, the conference will feature 50 exhibiting startups including previous participants from the NZTC TechX Accelerator programme. Firms including Frontier Robotics, Wastewater Fuels and JET Connectivity will showcase their innovations, alongside a series of panel discussions. Technologies on display range from renewables to energy storage, carbon capture, hydrogen, alternative fuels and industrial decarbonisation. Since its launch, the Aberdeen-headquartered NZTC has co-invested £420 million in technology development and demonstration projects. Jointly funded by the UK and Scottish governments as part of the Aberdeen City Region Deal, the NZTC said its investment programme has created 1,550 direct jobs in Scotland. Net Zero Innovators NZTC chief acceleration officer Mark Anderson said events like the Net Zero Innovators conference “are about more than just ideas”. “They’re about bringing people together and driving real change,” he said. “As our first-ever Net Zero Innovators conference, this event is a major step forward in our journey to connect the brightest minds and most impactful innovations with their potential customers and backers in the energy industry. © Supplied by NZTCNZTC TechX director Mark Anderson. “It’s happening at an exciting time for Scotland’s net zero economy, which is growing at the fastest rate in the UK.” Anderson said the conference will demonstration how collaboration can “accelerate the transition to net zero” and boost “not also sustainability but also the economy”. “We’re thrilled to bring together experts and innovators who, through our TechX Accelerator, are turning cutting-edge ideas into scalable, commercial solutions,” he said. “These startups are making a real impact

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Trump Says He’ll Soon Sign Ukraine Natural Resources Deal

President Donald Trump said he would soon sign a natural-resources deal with Ukraine that would give the US partial control over revenue from future resource extraction. “One of the things we are doing is signing a deal very shortly with respect to rare earths with Ukraine,” Trump said Thursday during an education event at the White House. The agreement fell apart late last month after a tense Oval Office meeting between Trump and Ukrainian President Volodymyr Zelenskiy. Under that deal, Ukraine would contribute half of all revenues from future sales of natural resources, including minerals, oil, natural gas, hydrocarbons as well as infrastructure to a reconstruction fund jointly owned with the US. Trump’s comments come one day after his top spokeswoman said the administration was moving beyond the previously negotiated minerals deal with Kyiv to focus more broadly on a peace agreement between Russia and Ukraine. “We are now focused on a long-term peace agreement,” White House Press Secretary Karoline Leavitt said Wednesday. “We’ve moved beyond just the economic minerals deal framework.” Trump’s focus on Ukraine’s commodities has raised questions about what the nation really has to offer. It has no major rare-earth reserves that are internationally recognized as economically viable. Ukraine is an established producer of coal, iron ore, uranium, titanium, and magnesium, and expanding those sectors could be profitable for the US. The president spoke about the Ukraine agreement shortly after he invoked emergency powers to boost the US’s ability to produce critical minerals, and possibly coal, as part of a broad effort to ramp up domestic production and lower reliance on imports.  “I also signed an executive order to dramatically increase production of critical minerals and rare earths. It’s a big thing in this country, and as you know, we’re also signing agreements in various locations to

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Sagepoint Acquires Two RNG Production Sites in Kansas

Newly launched waste-to-energy company Sagepoint Energy LLC said it has acquired two renewable natural gas (RNG) production sites in Kansas state with an expected combined production of 1 billion cubic feet (Bcf) a year. Carmel, Indiana-based Sagepoint said the new assets grow its anticipated production of RNG, or biomethane, to 1.5 Bcf per annum. “These assets support Sagepoint’s mission to provide diversified resource efficiency solutions to its customers and reinforce the Company’s commitment to reducing emissions across the U.S. natural gas supply chain”, it said in an online statement. Lynx Renewable Energy Kansas and Renewable Power Producers (RPP), put into operation 2022 and 2017 respectively, both produce pipeline-quality RNG using landfill gas as feedstock, Sagepoint said. Lynx, adjacent to the Plumb Thicket Landfill in Harper, was acquired September 2024 and is set for expansion “to support various growth initiatives on-site”, Sagepoint said. RPP, adjacent to the HAMM Sanitary Landfill in Lawrence, was acquired February 2025. “We are thrilled to announce the Lynx and RPP transactions, which represent a significant milestone in Sagepoint’s feedstock diversification strategy”, commented Nick Soncrant, Sagepoint vice-president for business development. “We are eager to incorporate these valuable assets into our portfolio and contribute to the continued expansion of our RNG capabilities”. Sagepoint has two other landfill RNG assets. Plumb Thicket RNG in Harper, operational since 2022, is expected to produce 400,000 million British thermal units (MMBtu) a year. Lawrence LNG in Lawrence, operational since 2017, is expected to produce over 600,000 MMBtu a year, according to Sagepoint. Concurrent with the announcement of the two new acquisitions, Sagepoint announced the appointment of Terry Peak as vice president for landfill operations. Peak most recently served as vice president for RNG commercial operations development at Kinder Morgan. Before that, Peak served as chief operating officer at ProLiance Energy and Kinetrex

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Global Oil Demand Makes Strong Start to 2025

Global oil demand has made a strong start to 2025, analysts at Standard Chartered Bank, including Commodities Research Head Paul Horsnell, said in a report sent to Rigzone by Horsnell on Thursday. “Based on a variety of national sources and the 19 March Joint Organizations Data Initiative (JODI) release, we estimate that demand averaged 102.77 million barrels per day in January, a year on year increase of 2.19 million barrels per day,” the Standard Chartered Bank analysts said in the report. “This is in line with the U.S. Energy Information Administration (EIA) estimate for January that put demand at 102.74 million barrels per day and growth at 1.85 million barrels per day,” they added. In the report, the Standard Chartered Bank analysts noted that January is usually the seasonal low point for global demand and said they expect demand “to move above 105.0 million barrels per day for the first time in June before reaching a 2025 high of 105.6 million barrels per day in August”. “Our forecast for 2025 demand growth stands at 1.41 million barrels per day. After weakening in H2-2024, our forecast is now back where it stood at its initiation in January 2024,” they added. “While the main downside risk to demand comes from U.S. tariff policy and the economic uncertainty it creates, for now demand-side fundamentals appear robust despite negative sentiment,” they continued. The Standard Chartered Bank analysts stated in the report that they expect global demand to exceed supply by 0.9 million barrels per day in the second quarter and by 0.5 million barrels per day in the third quarter. Rigzone has contacted the Trump transition team and the White House for comment on Standard Chartered Bank’s report. At the time of writing, neither have responded to Rigzone. In a research note sent to

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Voyager Midstream Acquires Phillips 66 Stake in Panola NGL Pipeline

Voyager Midstream Holdings LLC has completed the purchase of a non-operating stake in a Texas natural gas liquid (NGL) pipeline from Phillips 66. The 254-mile Panola Pipeline, operated by Enterprise Products Partners LP, transports Y-Grade NGLs from Panola County to fractionation facilities in Mont Belvieu city. “Voyager’s interest in the Panola Pipeline is a strategic fit with the company’s existing footprint in East Texas and North Louisiana”, Houston, Texas-based Voyager said in an online statement, referring to assets also acquired from Phillips 66. Voyager chief executive Will Harvey commented, “Panola Pipeline is a critical NGL pipeline connecting the major East Texas gas processing complexes and Gulf Coast demand markets”. “We are excited to work alongside our partners in Panola Pipeline to safely transport liquids to satisfy growing demand for NGLs along the Gulf Coast”, Harvey added. Voyager did not disclose the financial details of the transaction. It said that in conjunction with the acquisition, it has entered into a credit facility with the Bank of Oklahoma. “This credit facility, along with existing equity commitments from Pearl, provides Voyager with substantial flexibility and capital to continue growing its business in support of its customers”, it said. Pearl Energy Investments launched Voyager in 2023 as a platform for the acquisition and development of crude oil, natural gas and produced water infrastructure across key basins in North America. Voyager operates about 550 miles of natural gas pipelines and associated compression. It also has 400 million cubic feet a day of cryogenic gas processing capacity and 12,000 barrels per day of liquid fractionation capacity. It also operates Carthage Hub, a gas trading and delivery hub capable of handling over 1 billion cubic feet per day. Carthage Hub interconnects multiple markets across the United States including LNG markets in Texas and Louisiana. All of these

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PEAK:AIO adds power, density to AI storage server

There is also the fact that many people working with AI are not IT professionals, such as professors, biochemists, scientists, doctors, clinicians, and they don’t have a traditional enterprise department or a data center. “It’s run by people that wouldn’t really know, nor want to know, what storage is,” he said. While the new AI Data Server is a Dell design, PEAK:AIO has worked with Lenovo, Supermicro, and HPE as well as Dell over the past four years, offering to convert their off the shelf storage servers into hyper fast, very AI-specific, cheap, specific storage servers that work with all the protocols at Nvidia, like NVLink, along with NFS and NVMe over Fabric. It also greatly increased storage capacity by going with 61TB drives from Solidigm. SSDs from the major server vendors typically maxed out at 15TB, according to the vendor. PEAK:AIO competes with VAST, WekaIO, NetApp, Pure Storage and many others in the growing AI workload storage arena. PEAK:AIO’s AI Data Server is available now.

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SoftBank to buy Ampere for $6.5B, fueling Arm-based server market competition

SoftBank’s announcement suggests Ampere will collaborate with other SBG companies, potentially creating a powerful ecosystem of Arm-based computing solutions. This collaboration could extend to SoftBank’s numerous portfolio companies, including Korean/Japanese web giant LY Corp, ByteDance (TikTok’s parent company), and various AI startups. If SoftBank successfully steers its portfolio companies toward Ampere processors, it could accelerate the shift away from x86 architecture in data centers worldwide. Questions remain about Arm’s server strategy The acquisition, however, raises questions about how SoftBank will balance its investments in both Arm and Ampere, given their potentially competing server CPU strategies. Arm’s recent move to design and sell its own server processors to Meta signaled a major strategic shift that already put it in direct competition with its own customers, including Qualcomm and Nvidia. “In technology licensing where an entity is both provider and competitor, boundaries are typically well-defined without special preferences beyond potential first-mover advantages,” Kawoosa explained. “Arm will likely continue making independent licensing decisions that serve its broader interests rather than favoring Ampere, as the company can’t risk alienating its established high-volume customers.” Industry analysts speculate that SoftBank might position Arm to focus on custom designs for hyperscale customers while allowing Ampere to dominate the market for more standardized server processors. Alternatively, the two companies could be merged or realigned to present a unified strategy against incumbents Intel and AMD. “While Arm currently dominates processor architecture, particularly for energy-efficient designs, the landscape isn’t static,” Kawoosa added. “The semiconductor industry is approaching a potential inflection point, and we may witness fundamental disruptions in the next 3-5 years — similar to how OpenAI transformed the AI landscape. SoftBank appears to be maximizing its Arm investments while preparing for this coming paradigm shift in processor architecture.”

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Nvidia, xAI and two energy giants join genAI infrastructure initiative

The new AIP members will “further strengthen the partnership’s technology leadership as the platform seeks to invest in new and expanded AI infrastructure. Nvidia will also continue in its role as a technical advisor to AIP, leveraging its expertise in accelerated computing and AI factories to inform the deployment of next-generation AI data center infrastructure,” the group’s statement said. “Additionally, GE Vernova and NextEra Energy have agreed to collaborate with AIP to accelerate the scaling of critical and diverse energy solutions for AI data centers. GE Vernova will also work with AIP and its partners on supply chain planning and in delivering innovative and high efficiency energy solutions.” The group claimed, without offering any specifics, that it “has attracted significant capital and partner interest since its inception in September 2024, highlighting the growing demand for AI-ready data centers and power solutions.” The statement said the group will try to raise “$30 billion in capital from investors, asset owners, and corporations, which in turn will mobilize up to $100 billion in total investment potential when including debt financing.” Forrester’s Nguyen also noted that the influence of two of the new members — xAI, owned by Elon Musk, along with Nvidia — could easily help with fundraising. Musk “with his connections, he does not make small quiet moves,” Nguyen said. “As for Nvidia, they are the face of AI. Everything they do attracts attention.” Info-Tech’s Bickley said that the astronomical dollars involved in genAI investments is mind-boggling. And yet even more investment is needed — a lot more.

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IBM broadens access to Nvidia technology for enterprise AI

The IBM Storage Scale platform will support CAS and now will respond to queries using the extracted and augmented data, speeding up the communications between GPUs and storage using Nvidia BlueField-3 DPUs and Spectrum-X networking, IBM stated. The multimodal document data extraction workflow will also support Nvidia NeMo Retriever microservices. CAS will be embedded in the next update of IBM Fusion, which is planned for the second quarter of this year. Fusion simplifies the deployment and management of AI applications and works with Storage Scale, which will handle high-performance storage support for AI workloads, according to IBM. IBM Cloud instances with Nvidia GPUs In addition to the software news, IBM said its cloud customers can now use Nvidia H200 instances in the IBM Cloud environment. With increased memory bandwidth (1.4x higher than its predecessor) and capacity, the H200 Tensor Core can handle larger datasets, accelerating the training of large AI models and executing complex simulations, with high energy efficiency and low total cost of ownership, according to IBM. In addition, customers can use the power of the H200 to process large volumes of data in real time, enabling more accurate predictive analytics and data-driven decision-making, IBM stated. IBM Consulting capabilities with Nvidia Lastly, IBM Consulting is adding Nvidia Blueprint to its recently introduced AI Integration Service, which offers customers support for developing, building and running AI environments. Nvidia Blueprints offer a suite pre-validated, optimized, and documented reference architectures designed to simplify and accelerate the deployment of complex AI and data center infrastructure, according to Nvidia.  The IBM AI Integration service already supports a number of third-party systems, including Oracle, Salesforce, SAP and ServiceNow environments.

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Nvidia’s silicon photonics switches bring better power efficiency to AI data centers

Nvidia typically uses partnerships where appropriate, and the new switch design was done in collaboration with multiple vendors across different aspects, including creating the lasers, packaging, and other elements as part of the silicon photonics. Hundreds of patents were also included. Nvidia will licensing the innovations created to its partners and customers with the goal of scaling this model. Nvidia’s partner ecosystem includes TSMC, which provides advanced chip fabrication and 3D chip stacking to integrate silicon photonics into Nvidia’s hardware. Coherent, Eoptolink, Fabrinet, and Innolight are involved in the development, manufacturing, and supply of the transceivers. Additional partners include Browave, Coherent, Corning Incorporated, Fabrinet, Foxconn, Lumentum, SENKO, SPIL, Sumitomo Electric Industries, and TFC Communication. AI has transformed the way data centers are being designed. During his keynote at GTC, CEO Jensen Huang talked about the data center being the “new unit of compute,” which refers to the entire data center having to act like one massive server. That has driven compute to be primarily CPU based to being GPU centric. Now the network needs to evolve to ensure data is being fed to the GPUs at a speed they can process the data. The new co-packaged switches remove external parts, which have historically added a small amount of overhead to networking. Pre-AI this was negligible, but with AI, any slowness in the network leads to dollars being wasted.

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Critical vulnerability in AMI MegaRAC BMC allows server takeover

“In disruptive or destructive attacks, attackers can leverage the often heterogeneous environments in data centers to potentially send malicious commands to every other BMC on the same management segment, forcing all devices to continually reboot in a way that victim operators cannot stop,” the Eclypsium researchers said. “In extreme scenarios, the net impact could be indefinite, unrecoverable downtime until and unless devices are re-provisioned.” BMC vulnerabilities and misconfigurations, including hardcoded credentials, have been of interest for attackers for over a decade. In 2022, security researchers found a malicious implant dubbed iLOBleed that was likely developed by an APT group and was being deployed through vulnerabilities in HPE iLO (HPE’s Integrated Lights-Out) BMC. In 2018, a ransomware group called JungleSec used default credentials for IPMI interfaces to compromise Linux servers. And back in 2016, Intel’s Active Management Technology (AMT) Serial-over-LAN (SOL) feature which is part of Intel’s Management Engine (Intel ME), was exploited by an APT group as a covert communication channel to transfer files. OEM, server manufacturers in control of patching AMI released an advisory and patches to its OEM partners, but affected users must wait for their server manufacturers to integrate them and release firmware updates. In addition to this vulnerability, AMI also patched a flaw tracked as CVE-2024-54084 that may lead to arbitrary code execution in its AptioV UEFI implementation. HPE and Lenovo have already released updates for their products that integrate AMI’s patch for CVE-2024-54085.

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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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