Stay Ahead, Stay ONMINE

VergeIO enhances VergeFabric network virtualization offering

VergeIO is not, however, using an off-the-shelf version of KVM. Rather, it is using what Crump referred to as a heavily modified KVM hypervisor base, with significant proprietary enhancements while still maintaining connections to the open-source community. VergeIO’s deployment profile is currently 70% on premises and about 30% via bare-metal service providers, with a particularly […]

VergeIO is not, however, using an off-the-shelf version of KVM. Rather, it is using what Crump referred to as a heavily modified KVM hypervisor base, with significant proprietary enhancements while still maintaining connections to the open-source community.

VergeIO’s deployment profile is currently 70% on premises and about 30% via bare-metal service providers, with a particularly strong following among cloud service providers that host applications for their customers. The software requires direct hardware access due to its low-level integration with physical resources.

“Since November of 2023, the normal number one customer we’re attracting right now is guys that have had a heart attack when they got their VMware renewal license,” Crump said. “The more of the stack you own, the better our story becomes.”

A 2024 report from Data Center Intelligence Group (DCIG) identified VergeOS as one of the top 5 alternatives to VMware.

“VergeIO starts by installing VergeOS on bare metal servers,” the report stated. “It then brings the servers’ hardware resources under its management, catalogs these resources, and makes them available to VMs. By directly accessing and managing the server’s hardware resources, it optimizes them in ways other hypervisors often cannot.”

Advanced networking features in VergeFabric

VergeFabric is the networking component within the VergeOS ecosystem, providing software-defined networking capabilities as an integrated service rather than as a separate virtual machine or application.

Shape
Shape
Stay Ahead

Explore More Insights

Stay ahead with more perspectives on cutting-edge power, infrastructure, energy,  bitcoin and AI solutions. Explore these articles to uncover strategies and insights shaping the future of industries.

Shape

TotalEnergies farms out 40% participating interest in certain licenses offshore Nigeria to Chevron

@import url(‘https://fonts.googleapis.com/css2?family=Inter:[email protected]&display=swap’); a { color: var(–color-primary-main); } .ebm-page__main h1, .ebm-page__main h2, .ebm-page__main h3, .ebm-page__main h4, .ebm-page__main h5, .ebm-page__main h6 { font-family: Inter; } body { line-height: 150%; letter-spacing: 0.025em; font-family: Inter; } button, .ebm-button-wrapper { font-family: Inter; } .label-style { text-transform: uppercase; color: var(–color-grey); font-weight: 600; font-size: 0.75rem; } .caption-style

Read More »

AI-driven network management gains enterprise trust

The way the full process works is that the raw data feed comes in, and machine learning is used to identify an anomaly that could be a possible incident. That’s where the generative AI agents step up. In addition to the history of similar issues, the agents also look for

Read More »

Shell Plans to Cut CPC Pipeline Partnership with Rosneft

Shell Plc is planning to dissolve a partnership with Russia’s Rosneft PJSC through which the two oil giants jointly own a stake in a pipeline from Kazakhstan. If the process is successful, Shell will still keep the stake in the Caspian Pipeline Consortium – rather than own it jointly with the sanctioned Russian energy giant, people with knowledge of the matter said, asking not to be identified because the matter is not public. Russia’s President Vladimir Putin this week authorized the two producers to make transactions that may lead to “establishment, modification, termination, or encumbrance” of property rights in their Caspian venture.  Shell pledged back in March 2022 to withdraw from Russian oil and gas in a phased manner due to the war in Ukraine.  The Kremlin provided no explanation for the permission, raising speculation over potential changes in the shareholdering structure of the CPC project, the main export route for Kazakhstan’s oil.  Shell has no plans to quit the wider CPC venture, the people said. Shell’s total stake in CPC is 7.4 percent, according to the company’s website. That includes 3.75 percent through the venture with Rosneft, 1.75 percent through direct participation and 2 percent through its affiliate BG Overseas Holding Ltd. A spokesman for Shell declined to comment. CPC carries Kazakh barrels to the Black Sea coast through Russia, and its shareholders include several global oil majors, as well as Russia’s largest producers Rosneft and Lukoil PJSC, both sanctioned by the US. The Rosneft-Shell JV owns 7.4 percent in the consortium. In the recent months, the CPC infrastructure has been a target of multiple drone attacks.  The strikes have led to temporary halts and curtailments in oil loadings, and the latest attack shut in one out of three CPC moorings, key for the facility’s operations.  Ukraine didn’t explicitly take responsibility for the attacks, although

Read More »

IEA Cuts Forecast of Record Oil Glut for 1st Time Since May

The International Energy Agency trimmed estimates for a global oil supply surplus this year and next for the first time in several months as demand strengthens and output growth slows. World supplies will exceed demand by 3.815 million barrels a day in 2026, which would still mark a record, but trims last month’s estimate by 231,000 barrels a day. It’s also the first reduction since OPEC+ started ramping up production in May, while an estimate for this year’s overhang was curbed for the first time since February. The revision by the IEA — whose forecasts are used by the global oil industry and governments alike — reflects several factors: last month’s decision by OPEC+ to pause supply increases, slightly reduced estimates for the group’s rivals and a stronger outlook for world oil consumption. “The projected global oil surplus in the fourth quarter of 2025 has narrowed since last month’s report, as the relentless surge in global oil supply came to an abrupt halt,” the Paris-based agency said in a report. Meanwhile, “an improving macroeconomic and trade outlook” are buoying demand. Expectations for a world supply excess — which top trader Trafigura Group warned could turn into a “super glut” — have been weighing on prices ever since the OPEC+ alliance led by Saudi Arabia agreed to open the taps earlier this year. Brent futures traded below $62 a barrel on Thursday, down 17% this year.  Despite the revision, the supply excess anticipated by the IEA next year would be unprecedented in annual terms, surpassed only during the depths of the Covid pandemic when demand crashed in 2020. The agency has said actual volumes may fall short of the overhang projected on paper, as crude producers make adjustments.  The accumulation of oil inventories to a four-year high — including a steep build-up of

Read More »

BP, Chevron Top US Gulf Lease Sale

Britain’s BP PLC and the United States’ Chevron Corp and Murphy Oil Corp led the first oil and gas area auction under the Trump administration’s One Big Beautiful Act, winning 51, 24 and 14 blocks respectively in federal waters in the Gulf of America, according to official results published Wednesday. “Lease Sale Big Beautiful Gulf 1” is the first of at least 30 lease sales required by the 2025 budget “reconciliation bill” for the Gulf of America, which President Donald Trump renamed from Gulf of Mexico after he assumed office for his second non-consecutive term. Out of nearly 15,200 blocks spanning 81.18 million acres offered, 181 blocks got winning bids. Thirty companies participated, submitting 219 bids, worth a total of $371.88 million. Winning bids totaled $300.43 million, according to the “Sale Day Statistics” released by the Interior Department’s Bureau of Ocean Energy Management (BOEM). “Lease Sale Big Beautiful Gulf 1 marks a renewed, proactive offshore energy strategy focused on strengthening national security, expanding economic opportunity and responsibly stewarding America’s abundant natural resources”, Interior said in an online statement. Britain’s Shell PLC and Spain’s Repsol SA completed the top five winners, each of the two landing 12 blocks. Rounding up the top 10 successful bidders are Houston, Texas-based Talos Energy Inc with 11 blocks, Covington, Louisiana-based LLOG Exploration Offshore LLC (11 blocks), Australia’s Woodside Energy Group Ltd (eight blocks), Houston-based Occidental Petroleum Corp (eight blocks) and Norway’s majority state-owned Equinor ASA (seven blocks). BP, Chevron and Woodside spent the most for successful bids, totaling $61.88 million, $53.1 million and $38.08 million respectively. Rounding up the top five bidders in terms of the sum of their winning bids are Murphy ($27.39 million) and Houston-based Beacon Offshore Energy LLC ($20.06 million). Chevron offered the biggest single winning bid at $18.59 million, for Block

Read More »

GasBuddy Flags ‘Fresh Multi-Year Low’ for USA Gasoline Price

In a blog posted on GasBuddy’s website this week, the company outlined that the average U.S. gasoline price reached a “fresh multi-year low”. “Gas prices continued to decline in most states last week, while some price-cycling states saw temporary spikes to restore margins,” Patrick De Haan, the head of petroleum analysis at the company, stated in the blog, which was published on Monday. “With the national average falling further, we’re now at multi-year lows heading into Christmas. Diesel prices are also easing, and in the cheapest cities, averages have dipped into the low-$2 range, with a few stations still offering gas under $2 per gallon,” De Haan added. “Barring any major disruptions, prices are likely to stay relatively low into the new year,” he continued. In Monday’s blog, GasBuddy noted that the nation’s average price of gasoline had fallen 5.0 cents over the last week and pointed out that it stood at $2.90 per gallon, “according to GasBuddy data compiled from more than 12 million individual price reports covering over 150,000 gas stations across the country”. “The national average is down 17.6 cents from a month ago and is 7.3 cents per gallon lower than a year ago,” GasBuddy highlighted in the blog. “The national average price of diesel has fallen 5.1 cents in the last week and stands at $3.671 per gallon,” it added. GasBuddy stated in the blog that the most common U.S. gas price encountered by motorists stood at $2.79 per gallon, which it said was down 20 cents from last week. This was followed by $2.89, $2.69, $2.99, and $2.59, GasBuddy highlighted. “The median U.S. gas price is $2.79 per gallon, down four cents from last week and about 11 cents lower than the national average,” GasBuddy said. “The top 10 percent of stations in the

Read More »

Oil Price Did Not Shift on Fed Cut

In a market update sent to Rigzone by the Rystad Energy team late Wednesday, Rystad highlighted that the price of oil “[did] not shift… on the Fed’s cut”. Rystad pointed out in the update that the Fed lowered its benchmark lending rate by 25 basis points, bringing it to a range of 3.50-3.75 percent, describing the action as “a move that was largely in line with expectations”. “Fundamentals are still the primary drivers of change in commodity markets, with the price of oil not shifting based on the Fed’s cut,” Rystad noted in the statement. “Market participants and investors are paying closer attention to the forward-looking view shared by the central bank,” it added. “The Fed said that uncertainty about the economic outlook remains elevated, and it remains attentive to the risks to its dual mandate of achieving maximum employment and maintaining the inflation rate at two percent,” it continued. In Rystad’s update, Claudio Galimberti, Rystad Energy Chief Economist and Global Director of Market Analysis, stated that “the Federal Reserve’s divided decision to cut rates today [Wednesday] underscores a central bank that is easing cautiously while signaling a potential pause”. “For commodity markets, the message is clear: monetary policy is no longer a dominant driver of price direction. The Fed is cutting, but only reluctantly, and its projections show limited easing ahead despite a still-uncertain labor market and inflation that remains above target,” he added. Galimberti noted in the update that, in the near term, the rate cut modestly loosens financial conditions and may weaken the U.S. dollar at the margin, which he pointed out is typically supportive for crude, metals, and some agricultural commodities. He added, however, that “the signal of a pause tempers that boost, reminding markets that the Fed is unwilling to validate the two-cut easing path

Read More »

Aramco, ExxonMobil Mull Petrochemical Complex at Samref

Exxon Mobil Corp and Saudi Arabian Oil Co (Aramco) have agreed to evaluate upgrading their Samref refinery in Yanbu, Saudi Arabia, with plans to expand the site into an integrated petrochemical complex. The facility currently has a declared oil processing capacity and storage capacity of about 400,000 barrels per day and 13.2 million barrels respectively. It produces mostly gasoline, as well as diesel fuel, heating oil, jet fuel, liquefied petroleum gas and others, the joint venture says on its website. “The companies will explore capital investments to upgrade and diversify production, including high-quality distillates that result in lower emissions and high-performance chemicals, as well as opportunities to improve the refinery’s energy efficiency and reduce emissions from operations through an integrated emissions-reduction strategy”, Aramco said in a press release. Aramco downstream president Mohammed Y. Al Qahtani said, “Designed to increase the conversion of crude oil and petroleum liquids into high-value chemicals, this project reinforces our commitment to advancing downstream value creation and our liquids-to-chemicals strategy. It will also position Samref as a key driver in the growth of the Kingdom’s petrochemical sector”. ExxonMobil senior vice president Jack Williams said, “We look forward to evaluating this project, which aligns with our strategy to focus on investments that allow us to grow high-value products that meet society’s evolving energy needs and contribute to a lower-emission future”. Aramco said, “The companies will commence a preliminary front-end engineering and design phase for the proposed project, which would aim to maximize operational advantages, enhance Samref’s competitiveness and help to meet growing demand for high-quality petrochemical products in the Kingdom”. “Plans are subject to market conditions, regulatory approvals and final investment decisions by Aramco and ExxonMobil”, it said. Samref is equally owned between Aramco and United States energy giant ExxonMobil. In other downstream expansion activities Aramco recently completed

Read More »

Here’s what Oracle’s soaring infrastructure spend could mean for enterprises

He said he had earlier told analysts in a separate call that margins for AI workloads in these data centers would be in the 30% to 40% range over the life of a customer contract. Kehring reassured that there would be demand for the data centers when they were completed, pointing to Oracle’s increasing remaining performance obligations, or services contracted but not yet delivered, up $68 billion on the previous quarter, saying that Oracle has been seeing unprecedented demand for AI workloads driven by the likes of Meta and Nvidia. Rising debt and margin risks raise flags for CIOs For analysts, though, the swelling debt load is hard to dismiss, even with Oracle’s attempts to de-risk its spend and squeeze more efficiency out of its buildouts. Gogia sees Oracle already under pressure, with the financial ecosystem around the company pricing the risk — one of the largest debts in corporate history, crossing $100 billion even before the capex spend this quarter — evident in the rising cost of insuring the debt and the shift in credit outlook. “The combination of heavy capex, negative free cash flow, increasing financing cost and long-dated revenue commitments forms a structural pressure that will invariably finds its way into the commercial posture of the vendor,” Gogia said, hinting at an “eventual” increase in pricing of the company’s offerings. He was equally unconvinced by Magouyrk’s assurances about the margin profile of AI workloads as he believes that AI infrastructure, particularly GPU-heavy clusters, delivers significantly lower margins in the early years because utilisation takes time to ramp.

Read More »

New Nvidia software gives data centers deeper visibility into GPU thermals and reliability

Addressing the challenge Modern AI accelerators now draw more than 700W per GPU, and multi-GPU nodes can reach 6kW, creating concentrated heat zones, rapid power swings, and a higher risk of interconnect degradation in dense racks, according to Manish Rawat, semiconductor analyst at TechInsights. Traditional cooling methods and static power planning increasingly struggle to keep pace with these loads. “Rich vendor telemetry covering real-time power draw, bandwidth behavior, interconnect health, and airflow patterns shifts operators from reactive monitoring to proactive design,” Rawat said. “It enables thermally aware workload placement, faster adoption of liquid or hybrid cooling, and smarter network layouts that reduce heat-dense traffic clusters.” Rawat added that the software’s fleet-level configuration insights can also help operators catch silent errors caused by mismatched firmware or driver versions. This can improve training reproducibility and strengthen overall fleet stability. “Real-time error and interconnect health data also significantly accelerates root-cause analysis, reducing MTTR and minimizing cluster fragmentation,” Rawat said. These operational pressures can shape budget decisions and infrastructure strategy at the enterprise level.

Read More »

Arista goes big with campus wireless tech

In a white paper describing how VESPA works, Arista wrote: The first component of VESPA involves Arista access points creating VXLAN tunnels to Arista switches serving as WLAN Gateways…. Second, as device packets arrive via the AP, it dynamically creates an Ethernet Segment Identifier (Type 6 ESI) based on the AP’s VTEP IP address. These dynamically created tunnels can scale to 30K ESI’s spread across paired switches in the cluster which provide active/active load sharing (performance+HA) to the APs. Third, the gateway switches use Type 2 EVPN NLRI (Network Layer Reachability Information) to learn and exchange end point MAC addresses across the cluster. … With this architecture, adding more EVPN WLAN gateways scales both AP and user connections, to tens of thousands of end points. To manage the forwarding information for hundreds of thousands of clients (e.g: FIB next hop and rewrite) would prove very complex and expensive if using conventional networking solutions. Arista’s innovation is to distribute this function across the WiFi access points with a unique MAC Rewrite Offload feature (MRO). With MRO, the access point is responsible for servicing mobile client ARP requests (using its own mac address), building a localized MAC-IP binding table, and forwarding client IP addresses to the WLAN gateways with the APs MAC address. The WLAN Gateways therefore only learns one (MAC) address for all the clients associated with the AP. This improves the gateway’s scaling from 10X to 100X, allowing these cost effective gateways to support hundreds of thousands of clients attached to the APs. AVA system gets a boost In addition to the new wireless technology, Arista is also bolstering the capabilities of its natural-language, generative AI-based Autonomous Virtual Assist (AVA) system for delivering network insights and AIOps.  AVA is aimed at providing an intelligent assistant that’s not there to replace

Read More »

Most significant networking acquisitions of 2025

Cisco makes two AI deals: EzDubs and NeuralFabric Last month Cisco completed its acquisition of EzDubs, a privately held AI software company with speech-to-speech translation technology. EzDubs translates conversations across 31 languages and will accelerate Cisco’s delivery of next-generation features, such as live voice translation that preserves the characteristics of speech, the vendor stated. Cisco plans to incorporate EzDubs’ technology in its Cisco Collaboration portfolio. Also in November, Cisco bought AI platform company NeuralFabric, which offers a generative AI platform that lets organizations develop domain-specific small language models using their own proprietary data. Coreweave buys Core Scientific Nvidia-backed AI cloud provider CoreWeave acquired crypto miner Core Scientific for about $9 billion, giving it access to 1.3 gigawatts of contracted power to support growing demand for AI and high-performance computing workloads. CoreWeave said the deal augments its vertical integration by expanding its owned and operated data center footprint, allowing it to scale GPU-powered services for enterprise and research customers. F5 picks up three: CalypsoAI, Fletch and MantisNet F5 acquired Dublin, Ireland-based CalypsoAI for $180 million. CalypsoAI’s platform creates what the company calls an Inference Perimeter that protects across models, vendors, and environments. F5 says it will integrate CalypsoAI’s adaptive AI security capabilities into its F5 Application Delivery and Security Platform (ADSP). F5’s ADSP also stands to gain from F5’s acquisition of agentic AI and threat management startup Fletch. Fletch’s technology turns external threat intelligence and internal logs into real-time, prioritized insights; its agentic AI capabilities will be integrated into ADSP, according to F5. Lastly, F5 grabbed startup MantisNet to enhance cloud-native observability in F5’s ADSP. MantisNet leverages extended Berkeley Packet Filer (eBPF)-powered, kernel-level telemetry to provide real-time insights into encrypted protocol activity and allow organizations “to gain visibility into even the most elusive traffic, all without performance overhead,” according to an F5 blog

Read More »

Aviz Networks launches enterprise-grade community SONiC distribution

First, the company enabled FRR (Free Range Routing) features that exist in the community code but aren’t consistently implemented across different ASICs. VRRP (Virtual Router Redudancy Protocol) provides router redundancy for high availability. Spanning tree variants prevent network loops in layer 2 topologies. MLAG allows two switches to act as a single logical device for link aggregation. EVPN enhancements support layer 2 and layer 3 VPN services over VXLAN overlays. These protocols work differently depending on the underlying silicon, so Aviz normalized their implementation across Broadcom, Nvidia, Cisco and Marvell chips. Second, Aviz fixed bugs discovered in production deployments. One customer deployed community SONiC with OpenStack and started migrating virtual machines between hosts. The network fabric couldn’t handle the workload and broke. Aviz identified the failure modes and patched them.  Third, Aviz built a software component that normalizes monitoring data across vendors. Broadcom’s Tomahawk ASIC generates different telemetry formats than Nvidia’s Spectrum or Cisco’s Silicon One. Network operators need consistent data for troubleshooting and capacity planning. The software collects ASIC-specific logs and network operating system telemetry, then translates them into a standardized format that works the same way regardless of which silicon vendor’s chips are running in the switches. Validated for enterprise deployment scenarios The distribution supports common enterprise network architectures.  IP CLOS provides the leaf-spine topology used in modern data centers for predictable latency and scalability. EVPN/VXLAN creates layer 2 and layer 3 overlay networks that span physical network boundaries. MLAG configurations provide link redundancy without spanning tree limitations. Aviz provides validated runbooks for these deployments across data center, edge and AI fabric use cases. 

Read More »

US approves Nvidia H200 exports to China, raising questions about enterprise GPU supply

Shifting demand scenarios What remains unclear is how much demand Chinese firms will actually generate, given Beijing’s recent efforts to steer its tech companies away from US chips. Charlie Dai, VP and principal analyst at Forrester, said renewed H200 access is likely to have only a modest impact on global supply, as China is prioritizing domestic AI chips and the H200 remains below Nvidia’s latest Blackwell-class systems in performance and appeal. “While some allocation pressure may emerge, most enterprise customers outside China will see minimal disruption in pricing or lead times over the next few quarters,” Dai added. Neil Shah, VP for research and partner at Counterpoint Research, agreed that demand may not surge, citing structural shifts in China’s AI ecosystem. “The Chinese ecosystem is catching up fast, from semi to stack, with models optimized on the silicon and software,” Shah said. Chinese enterprises might think twice before adopting a US AI server stack, he said. Others caution that even selective demand from China could tighten global allocation at a time when supply of high-end accelerators remains stretched, and data center deployments continue to rise.

Read More »

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.

Read More »

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

Read More »

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

Read More »

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

Read More »