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PJM leadership openings offer an opportunity to chart a new course

David Lapp is people’s counsel at the Maryland Office of People’s Counsel, an agency that advocates for Maryland’s residential utility consumers. The current openings for a new chief executive officer and two board seats present an opportunity for a much-needed paradigm shift at the PJM Interconnection. PJM is supposed to be independent under federal law, […]

David Lapp is people’s counsel at the Maryland Office of People’s Counsel, an agency that advocates for Maryland’s residential utility consumers.

The current openings for a new chief executive officer and two board seats present an opportunity for a much-needed paradigm shift at the PJM Interconnection. PJM is supposed to be independent under federal law, but in practice PJM has proven much more interested in advancing policies responsive to big corporate interests than the welfare of consumers.

PJM’s ongoing public relations campaign illustrates the need for leadership change. Rather than responding with objective facts and reform to address root causes, PJM is resorting to blaming states for supply and infrastructure shortages, often defending the very policies that are driving up customer costs.

PJM’s messaging in Maryland is illustrative. Consider four examples.

First, with no qualification or quantification, PJM says it is “undeniable” that Maryland’s electric demand for power is growing and that it has a “supply” issue. According to PJM’s own forecasts, however, Maryland’s projected growth is quite modest. Twenty years from now, in 2045, PJM projects that the peak demand of Maryland’s largest utility, Baltimore Gas and Electric, will still be less than what its peak was in 2011, 14 years ago. Other areas of Maryland also show very modest increases in peak demand. The only real “supply” issue Maryland faces is really a PJM-wide issue: the massive growth and projected demand growth of data centers — about 30,000 MW by 2030, almost all of which is outside of Maryland.

Second, PJM claims it is “undeniable” that power plants are shutting down without adequate replacements. But Maryland has few if any power plants likely to retire that have not already retired or announced plans to retire. PJM’s own data shows that despite some retirements, Maryland has more generation capacity today relative to its peak load than it did in 2015 after accounting for new generation and generation with signed interconnection agreements.

Further, Talen Energy’s future retirements of units that are still online under reliability-must-run arrangements do have an “adequate replacement” through transmission facilities to address the grid reliability issues raised by the retirement of Talen’s units — one that PJM itself developed and assigned, without competition, to the incumbent transmission owner, Exelon, and its Baltimore Gas and Electric subsidiary. Exelon recently doubled the cost estimates of that transmission solution to more than $1.5 billion, most of which will be paid by Maryland customers. BGE has stated in testimony that the projects will “drastically increase” import capabilities into Maryland while refusing to say by how much. Our office’s undisputed analysis shows import capacity will increase by 2,980 MW.

Third, PJM’s most ubiquitous — and most misleading — talking point is that Maryland has a big problem because it is a “net-importer” of energy. That status, PJM says, means Maryland has a “supply” crisis that risks reliability issues — even “rolling blackouts.” Reliability, however, depends on the capacity of generation in the relevant PJM area and the transmission system’s ability to import power during hours of peak demand, measured in megawatts. It does not depend on average megawatt-hour imports and exports over the year.

The “net importer” PJM talking point is particularly troubling given that an important purpose of PJM’s markets is to dispatch the most economic generation to serve customers, wherever that generation exists in PJM. PJM hosts the nation’s top importer, Virginia, as well as the nation’s largest energy exporter, Pennsylvania. Being a “net-importer” is largely unrelated to reliability. In fact, during the June heat wave, there were moments when Maryland was producing far more of its electricity from within the state than its annual average of 60%.

Fourth, PJM complains that Maryland lacks high-voltage transmission lines and its transmission system is “weak.” This, too, is PJM misinformation. PJM itself is responsible for transmission planning, and Maryland has approved every transmission project proposed (and not later withdrawn by PJM itself) over the last 20 years.

PJM’s messaging also does a disservice because it conceals the main driver of cost concerns: power-hungry data centers. These data centers, located mostly within a few discrete areas of PJM, are driving the actual and projected new demands — in turn driving billions of dollars of spending on transmission and capacity market price increases. But rather than tackling the data-center issue, PJM obscures facts and blames states for having insufficient infrastructure to support those data centers.

It is no coincidence that PJM’s communications strategy is generally consistent with the interests of its large utilities in adding to profits by growing their rate bases with spending on capital additions for transmission and generation. Utility transmission-owner influence plays out in hundreds of PJM meetings a year, often resulting in policies that drive up costs for customers. Occasionally it comes into the public spotlight, such as last year when, against the wishes of its members, PJM advanced a proposal to give utilities new unilateral rights over transmission planning. Fortunately, FERC rejected it, agreeing that it violated the requirement that PJM “be independent of control by any market participant or class of participants in both reality and perception.”

PJM needs new leadership and greater board involvement to reform its anti-consumer biases. Aside from being a more honest broker of public information, here’s a short, non-exhaustive list of action items:

Data centers. As noted, the unprecedented, city-sized electric demand caused by data centers requires significant changes — all necessary to conform rising costs to core regulatory cost-causation principles.

Transparency. Despite requests of consumer advocates for years, PJM largely fails to analyze the cost impacts of the ongoing policy changes it is considering and advancing. Illustrative of its lack of concern over customer costs is the fact that for years, PJM consistently understated the growing costs of transmission for customers. The lack of cost impact analysis illustrates the broader need for more customer-centric policies and greater transparency into decision-making, project costs and market rules.

Independent monitors. PJM’s independent market monitor plays a critical role in protecting the integrity of markets and customers, yet it is often under attack or threat from PJM. Customers need less-concentrated, more competitive markets and greater transmission oversight through support of, and potentially an expansion of, the independent market monitor’s role, or the creation of an independent transmission monitor.

Transmission competition. Competition for building transmission is an important tool in reducing costs for customers. PJM leadership needs to reduce the abuses of exceptions to the competitive procurement of transmission, including local projects, immediate needs and in-kind replacements that have contributed to a doubling of transmission costs over the last decade.

It is not melodramatic to say that PJM is facing an existential crisis. It is facing significant wrath from elected officials who are under pressure from increasing costs, with some even pondering alternatives to PJM participation. PJM would be wise to recognize its tenuous status and use the current CEO and board vacancies to begin charting a new course. That will require looking beyond the usual mix of candidates favored by utilities for individuals committed to advancing the interests of the customers that PJM is supposed to serve.

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The airline told Network World that when the critical piece of what it described as “third-party multi-redundant hardware” failed unexpectedly, “it impacted several of our key systems that enable us to run various operations.” The company is currently working with its vendor to replace the faulty equipment at the data center. The airline has cancelled more than 150 flights since Sunday evening, including 64 on Monday. The company said additional flight disruptions are likely as it repositions aircraft and crews throughout its network. Alaska Airlines emphasized that the safety of its flights was never compromised, and that “the IT outage is not related to any other current events, and it’s not connected to the recent cybersecurity incident at Hawaiian Airlines.” The airline did not provide additional information to Network World about the specifics of the outage. “There are many redundant components that can fail,” said Roberts, noting that it could have been something as simple as a RAID array (which combines multiple physical data storage components into one or more logical units). Or, on the network side, it could have been the failure of a pair of load balancers. “It’s interesting that redundancy didn’t save them,” said Roberts. “Perhaps multiple pieces of hardware were impacted by the same issue, like a firmware update. Or, maybe they’re just really unlucky.”

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“If you have a very specific use case, and you want to fold AI into some of your processes, and you need a GPU or two and a server to do that, then, that’s perfectly acceptable,” he says. “What we’re seeing, kind of universally, is that most of the enterprises want to migrate to these autonomous agents and agentic AI, where you do need a lot of compute capacity.” Racks of brand-new GPUs, even without new power and cooling infrastructure, can be costly, and Schneider Electric often advises cost-conscious clients to look at previous-generation GPUs to save money. GPU and other AI-related technology is advancing so rapidly, however, that it’s hard to know when to put down stakes. “We’re kind of in a situation where five years ago, we were talking about a data center lasting 30 years and going through three refreshes, maybe four,” Carlini says. “Now, because it is changing so much and requiring more and more power and cooling you can’t overbuild and then grow into it like you used 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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