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At RightsCon in Taipei, activists reckon with a US retreat from promoting digital rights 

Last week, I joined over 3,200 digital rights activists, tech policymakers, and researchers and a smattering of tech company representatives in Taipei at RightsCon, the world’s largest digital rights conference.  Human rights conferences can be sobering, to say the least. They highlight the David vs. Goliath situation of small civil society organizations fighting to center human rights in decisions about technology, sometimes challenging the priorities of much more powerful governments and technology companies.  But this year’s RightsCon, the 13th since the event began as the Silicon Valley Human Rights Conference in 2011, felt especially urgent. This was primarily due to the shocking, rapid gutting of the US federal government by the Elon Musk–led DOGE initiative, and the reverberations this would have around the world.  At RightsCon, the cuts to USAID were top of mind: the development agency has long been one of the world’s biggest funders of digital rights work, from ensuring that the internet stays on during elections and crises around the world to supporting digital security hotlines for human-rights defenders and journalists targeted by surveillance and hacking. Now, the agency is facing over 90% cuts to its budget under the Trump administration.  The withdrawal of funding is existential for the international digital rights community—and follows other trends that are concerning for those who support a free and safe Internet. “We are unfortunately witnessing the erosion … of multistakeholderism, with restrictions on civil society participation, democratic backsliding worldwide, and companies divesting from policies and practices that uphold human rights,” Nikki Gladstone, RightsCon’s director, said in her opening speech.  Cindy Cohn, director of the Electronic Frontier Foundation, which advocates for digital civil liberties, was more blunt: “The scale and speed of the attacks on people’s rights is unprecedented. It’s breathtaking,” she told me.  But it’s not just funding cuts that will curtail digital rights globally. As various speakers highlighted throughout the conference, the United States government has gone from taking the leading role in supporting an open and safe internet to demonstrating how to dismantle it. Here’s what speakers are seeing:   The Trump administration’s policies are being weaponized in other countries  On Tuesday, February 25, just before RightsCon began, Serbian law enforcement raided the offices of four local civil society organizations focused on government accountability, citing Musk and Trump’s (unproven) accusations of fraud at USAID.  “The (Serbian) Special Anti-Corruption Department … contacted the US Justice Department for information concerning USAID over the abuse of funds, possible money laundering, and the improper spending of American taxpayers’ funds in Serbia,” Nenad Stefanovic, a state prosecutor, explained on a TV broadcast announcing the move.  “Since Trump’s second administration, we cannot count on them [the platforms] to do even the bare minimum anymore.” -Yasmin Curzi For RightsCon attendees, it was a clear—and familiar—example of how oppressive regimes find or invent reasons to go after critics. Only now, by using the Trump administration’s justifications for revoking USAID’s funding, they hope to gain an extra veneer of credibility.  Ashnah Kalemera, a program manager for CIPESA, a Ugandan nonprofit that runs technology for civic participation initiatives across Africa, says Trump and Musk’s attacks on USAID are providing false narratives that “justify arrests, intimidations, and continued clampdowns on civil society organizations—organizations that obviously no longer have the resources to do their work anyway.”  Yasmin Curzi, a professor at FGV Law School in Rio de Janeiro and an expert on digital law, says that American politics are also being weaponized in Brazil’s domestic affairs. There, she told me, right wing figures have been “lifting signs at protests like ‘Trump save us!’ and ‘Protect our First Amendment rights,’ which they don’t have.” Instead, Brazil’s Internet Bill of Rights seeks to balance protections on user privacy and speech with criminal liabilities for certain types of harmful content, including disinformation and hate speech.  Despite the differing legal frameworks, in late February the Trump Media & Technology Group, which operates Truth Social, and the video platform Rumble tried to enforce US-style speech protections in Brazil. They sued Brazilian Supreme Court Justice Alexandre de Moraes for banning a Brazilian digital influencer who had fled to the United States to avoid arrest in connection with allegations that he has spread disinformation and hate. Truth Social and Rumble allege that Moraes has violated the United States’ free speech laws.  (A US judge has since ruled that because the Brazilian court had yet to officially serve Truth Social and Rumble as required under international treaty, the platforms’ lawsuit was premature and the companies do not have to comply with the order; the judge did not comment on the merits of the argument, though the companies have claimed victory.) Platforms are becoming less willing to engage with local communities  In addition to how Trump and Musk might inspire other countries to act, speakers also expressed concern that their trolling and use of dehumanizing language and imagery will inspire more online hate (and attacks), just at a time when platforms are rolling back human content moderation. Experts warn that automated content moderation systems trained on English-language data sets are unable to detect much of this hateful language.  India, for example, has a history of platforms’ recognizing the necessity of using local-language moderators and also failing to do so, leading to real-world violence. Yet now the attitude of some internet users there has become “If the president of the United States can do it, why can’t I?” says Sadaf Wani, a communications manager for IT for Change, an Indian nonprofit research and advocacy organization, who organized a RightsCon panel on hate speech and AI.  As her panel noted, these online attacks  are accompanied by an increase in automated and even fully AI-based content moderation, largely trained on North American data sets, that are known to be less effective at identifying problematic speech in languages other than English. Even the latest large language models have difficulties identifying local slang, cultural context, and the use of non-English characters. “AI is not as smart as it looks, so you can use very obvious [and] very basic tricks to evade scrutiny. So I think that’s what’s also amplifying hate speech further,” Wani explains.  Others, including Curzi from Brazil and Kalemera from Uganda, described similar trends playing out in their countries—and they say changes in platform policy and a lack of local staff make content moderation even harder. Platforms used to have humans in the loop whom users could reach out to for help, Curzi said. She pointed to community-driven moderation efforts on Twitter, which she considered to be a relative success at curbing hate speech until Elon Musk bought the site and fired some 4,400 contract workers—including the entire team that worked with community partners in Brazil.  Curzi and Kalemera both say that things have gotten worse since. Last year, Trump threatened Meta CEO Mark Zuckerberg with “spend[ing] the rest of his life in prison” if Meta attempted to interfere with—i.e. fact-check claims about—the 2024 election. This January Meta announced that it was replacing its fact-checking program with X-style community notes, a move widely seen as capitulation to pressure from the new administration. Shortly after Trump’s second inauguration, social platforms skipped a hearing on hate speech and disinformation held by the Brazilian attorney general. While this may have been expected of Musk’s X, it represented a big shift for Meta, Curzi told me. “Since Trump’s second administration, we cannot count on them [the platforms] to do even the bare minimum anymore,”  she adds. Meta and X did not respond to requests for comment. The US’s retreat is creating a moral vacuum  Then there’s simply the fact that the United States can no longer be counted on to support digital rights defenders or journalists under attack. That creates a vacuum, and it’s not clear who else is willing—or able—to step into it, participants said.  The US used to be the “main support for journalists in repressive regimes,” both financially and morally, one journalism trainer said during a last-minute session added to the schedule to address the funding crisis. The fact that there is now no one to turn to, she added, makes the current situation “not comparable to the past.”  But that’s not to say that everything was doom and gloom. “You could feel the solidarity and community,” says the EFF’s Cohn. “And having [the conference] in Taiwan, which lives in the shadow of a very powerful, often hostile government, seemed especially fitting.” Indeed, if there was one theme that was repeated throughout the event, it was a shared desire to rethink and challenge who holds power.  Multiple sessions, for example, focused on strategies to counter both unresponsive Big Tech platforms and repressive governments. Meanwhile, during the session on AI and hate-speech moderation, participants concluded that one way of creating a safer internet would be for local organizations to build localized language models that are context- and language-specific. At the very least, said Curzi, we could move to other, smaller platforms that match our values, because at this point, “the big platforms can do anything they want.”  Do you have additional information on how Doge is affecting digital rights globally? Please use a non-work device and get in touch at [email protected] or with the reporter on Signal: eileenguo.15.

Last week, I joined over 3,200 digital rights activists, tech policymakers, and researchers and a smattering of tech company representatives in Taipei at RightsCon, the world’s largest digital rights conference. 

Human rights conferences can be sobering, to say the least. They highlight the David vs. Goliath situation of small civil society organizations fighting to center human rights in decisions about technology, sometimes challenging the priorities of much more powerful governments and technology companies. 

But this year’s RightsCon, the 13th since the event began as the Silicon Valley Human Rights Conference in 2011, felt especially urgent. This was primarily due to the shocking, rapid gutting of the US federal government by the Elon Musk–led DOGE initiative, and the reverberations this would have around the world. 

At RightsCon, the cuts to USAID were top of mind: the development agency has long been one of the world’s biggest funders of digital rights work, from ensuring that the internet stays on during elections and crises around the world to supporting digital security hotlines for human-rights defenders and journalists targeted by surveillance and hacking. Now, the agency is facing over 90% cuts to its budget under the Trump administration. 

The withdrawal of funding is existential for the international digital rights community—and follows other trends that are concerning for those who support a free and safe Internet. “We are unfortunately witnessing the erosion … of multistakeholderism, with restrictions on civil society participation, democratic backsliding worldwide, and companies divesting from policies and practices that uphold human rights,” Nikki Gladstone, RightsCon’s director, said in her opening speech. 

Cindy Cohn, director of the Electronic Frontier Foundation, which advocates for digital civil liberties, was more blunt: “The scale and speed of the attacks on people’s rights is unprecedented. It’s breathtaking,” she told me. 

But it’s not just funding cuts that will curtail digital rights globally. As various speakers highlighted throughout the conference, the United States government has gone from taking the leading role in supporting an open and safe internet to demonstrating how to dismantle it. Here’s what speakers are seeing:  

The Trump administration’s policies are being weaponized in other countries 

On Tuesday, February 25, just before RightsCon began, Serbian law enforcement raided the offices of four local civil society organizations focused on government accountability, citing Musk and Trump’s (unproven) accusations of fraud at USAID. 

“The (Serbian) Special Anti-Corruption Department … contacted the US Justice Department for information concerning USAID over the abuse of funds, possible money laundering, and the improper spending of American taxpayers’ funds in Serbia,” Nenad Stefanovic, a state prosecutor, explained on a TV broadcast announcing the move. 

“Since Trump’s second administration, we cannot count on them [the platforms] to do even the bare minimum anymore.” -Yasmin Curzi

For RightsCon attendees, it was a clear—and familiar—example of how oppressive regimes find or invent reasons to go after critics. Only now, by using the Trump administration’s justifications for revoking USAID’s funding, they hope to gain an extra veneer of credibility. 

Ashnah Kalemera, a program manager for CIPESA, a Ugandan nonprofit that runs technology for civic participation initiatives across Africa, says Trump and Musk’s attacks on USAID are providing false narratives that “justify arrests, intimidations, and continued clampdowns on civil society organizations—organizations that obviously no longer have the resources to do their work anyway.” 

Yasmin Curzi, a professor at FGV Law School in Rio de Janeiro and an expert on digital law, says that American politics are also being weaponized in Brazil’s domestic affairs. There, she told me, right wing figures have been “lifting signs at protests like ‘Trump save us!’ and ‘Protect our First Amendment rights,’ which they don’t have.” Instead, Brazil’s Internet Bill of Rights seeks to balance protections on user privacy and speech with criminal liabilities for certain types of harmful content, including disinformation and hate speech. 

Despite the differing legal frameworks, in late February the Trump Media & Technology Group, which operates Truth Social, and the video platform Rumble tried to enforce US-style speech protections in Brazil. They sued Brazilian Supreme Court Justice Alexandre de Moraes for banning a Brazilian digital influencer who had fled to the United States to avoid arrest in connection with allegations that he has spread disinformation and hate. Truth Social and Rumble allege that Moraes has violated the United States’ free speech laws. 

(A US judge has since ruled that because the Brazilian court had yet to officially serve Truth Social and Rumble as required under international treaty, the platforms’ lawsuit was premature and the companies do not have to comply with the order; the judge did not comment on the merits of the argument, though the companies have claimed victory.)

Platforms are becoming less willing to engage with local communities 

In addition to how Trump and Musk might inspire other countries to act, speakers also expressed concern that their trolling and use of dehumanizing language and imagery will inspire more online hate (and attacks), just at a time when platforms are rolling back human content moderation. Experts warn that automated content moderation systems trained on English-language data sets are unable to detect much of this hateful language. 

India, for example, has a history of platforms’ recognizing the necessity of using local-language moderators and also failing to do so, leading to real-world violence. Yet now the attitude of some internet users there has become “If the president of the United States can do it, why can’t I?” says Sadaf Wani, a communications manager for IT for Change, an Indian nonprofit research and advocacy organization, who organized a RightsCon panel on hate speech and AI. 

As her panel noted, these online attacks  are accompanied by an increase in automated and even fully AI-based content moderation, largely trained on North American data sets, that are known to be less effective at identifying problematic speech in languages other than English. Even the latest large language models have difficulties identifying local slang, cultural context, and the use of non-English characters. “AI is not as smart as it looks, so you can use very obvious [and] very basic tricks to evade scrutiny. So I think that’s what’s also amplifying hate speech further,” Wani explains. 

Others, including Curzi from Brazil and Kalemera from Uganda, described similar trends playing out in their countries—and they say changes in platform policy and a lack of local staff make content moderation even harder. Platforms used to have humans in the loop whom users could reach out to for help, Curzi said. She pointed to community-driven moderation efforts on Twitter, which she considered to be a relative success at curbing hate speech until Elon Musk bought the site and fired some 4,400 contract workers—including the entire team that worked with community partners in Brazil. 

Curzi and Kalemera both say that things have gotten worse since. Last year, Trump threatened Meta CEO Mark Zuckerberg with “spend[ing] the rest of his life in prison” if Meta attempted to interfere with—i.e. fact-check claims about—the 2024 election. This January Meta announced that it was replacing its fact-checking program with X-style community notes, a move widely seen as capitulation to pressure from the new administration. 
Shortly after Trump’s second inauguration, social platforms skipped a hearing on hate speech and disinformation held by the Brazilian attorney general. While this may have been expected of Musk’s X, it represented a big shift for Meta, Curzi told me. “Since Trump’s second administration, we cannot count on them [the platforms] to do even the bare minimum anymore,”  she adds. Meta and X did not respond to requests for comment.

The US’s retreat is creating a moral vacuum 

Then there’s simply the fact that the United States can no longer be counted on to support digital rights defenders or journalists under attack. That creates a vacuum, and it’s not clear who else is willing—or able—to step into it, participants said. 

The US used to be the “main support for journalists in repressive regimes,” both financially and morally, one journalism trainer said during a last-minute session added to the schedule to address the funding crisis. The fact that there is now no one to turn to, she added, makes the current situation “not comparable to the past.” 

But that’s not to say that everything was doom and gloom. “You could feel the solidarity and community,” says the EFF’s Cohn. “And having [the conference] in Taiwan, which lives in the shadow of a very powerful, often hostile government, seemed especially fitting.”

Indeed, if there was one theme that was repeated throughout the event, it was a shared desire to rethink and challenge who holds power. 

Multiple sessions, for example, focused on strategies to counter both unresponsive Big Tech platforms and repressive governments. Meanwhile, during the session on AI and hate-speech moderation, participants concluded that one way of creating a safer internet would be for local organizations to build localized language models that are context- and language-specific. At the very least, said Curzi, we could move to other, smaller platforms that match our values, because at this point, “the big platforms can do anything they want.” 

Do you have additional information on how Doge is affecting digital rights globally? Please use a non-work device and get in touch at [email protected] or with the reporter on Signal: eileenguo.15.

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What does Arm need to do to gain enterprise acceptance?

But in 2017, AMD released the Zen architecture, which was equal if not superior to the Intel architecture. Zen made AMD competitive, and it fueled an explosive rebirth for a company that was near death a few years prior. AMD now has about 30% market share, while Intel suffers from a loss of technology as well as corporate leadership. Now, customers have a choice of Intel or AMD, and they don’t have to worry about porting their applications to a new platform like they would have to do if they switched to Arm. Analysts weigh in on Arm Tim Crawford sees no demand for Arm in the data center. Crawford is president of AVOA, a CIO consultancy. In his role, he talks to IT professionals all the time, but he’s not hearing much interest in Arm. “I don’t see Arm really making a dent, ever, into the general-purpose processor space,” Crawford said. “I think the opportunity for Arm is special applications and special silicon. If you look at the major cloud providers, their custom silicon is specifically built to do training or optimized to do inference. Arm is kind of in the same situation in the sense that it has to be optimized.” “The problem [for Arm] is that there’s not necessarily a need to fulfill at this point in time,” said Rob Enderle, principal analyst with The Enderle Group. “Obviously, there’s always room for other solutions, but Arm is still going to face the challenge of software compatibility.” And therein lies what may be Arm’s greatest challenge: software compatibility. Software doesn’t care (usually) if it’s on Intel or AMD, because both use the x86 architecture, with some differences in extensions. But Arm is a whole new platform, and that requires porting and testing. Enterprises generally don’t like disruption —

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Intel decides to keep networking business after all

That doesn’t explain why Intel made the decision to pursue spin-off in the first place. In July, NEX chief Sachin Katti issued a memo that outlined plans to establish key elements of the Networking and Communications business as a stand-alone company. It looked like a done deal, experts said. Jim Hines, research director for enabling technologies and semiconductors at IDC, declined to speculate on whether Intel could get a decent offer but noted NEX is losing ground. IDC estimates Intel’s market share in overall semiconductors at 6.8% in Q3 2025, which is down from 7.4% for the full year 2024 and 9.2% for the full year 2023. Intel’s course reversal “is a positive for Intel in the long term, and recent improvements in its financial situation may have contributed to the decision to keep NEX in house,” he said. When Tan took over as CEO earlier this year, prioritized strengthening the balance sheet and bringing a greater focus on execution. Divest NEX was aligned with these priorities, but since then, Intel has secured investments from the US Government, Nvidia and SoftBank that have reduced the need to raise cash through other means, Hines notes. “The NEX business will prove to be a strategic asset for Intel as it looks to protect and expand its position in the AI datacenter market. Success in this market now requires processor suppliers to offer a full-stack solution, not just silicon. Scale-up and scale-out networking solutions are a key piece of the package, and Intel will be able to leverage its NEX technologies and software, including silicon photonics, to develop differentiated product offerings in this space,” Hines said.

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At the Crossroads of AI and the Edge: Inside 1623 Farnam’s Rising Role as a Midwest Interconnection Powerhouse

That was the thread that carried through our recent conversation for the DCF Show podcast, where Severn walked through the role Farnam now plays in AI-driven networking, multi-cloud connectivity, and the resurgence of regional interconnection as a core part of U.S. digital infrastructure. Aggregation, Not Proximity: The Practical Edge Severn is clear-eyed about what makes the edge work and what doesn’t. The idea that real content delivery could aggregate at the base of cell towers, he noted, has never been realistic. The traffic simply isn’t there. Content goes where the network already concentrates, and the network concentrates where carriers, broadband providers, cloud onramps, and CDNs have amassed critical mass. In Farnam’s case, that density has grown steadily since the building changed hands in 2018. At the time an “underappreciated asset,” the facility has since become a meeting point for more than 40 broadband providers and over 60 carriers, with major content operators and hyperscale platforms routing traffic directly through its MMRs. That aggregation effect feeds on itself; as more carrier and content traffic converges, more participants anchor themselves to the hub, increasing its gravitational pull. Geography only reinforces that position. Located on the 41st parallel, the building sits at the historical shortest-distance path for early transcontinental fiber routes. It also lies at the crossroads of major east–west and north–south paths that have made Omaha a natural meeting point for backhaul routes and hyperscale expansions across the Midwest. AI and the New Interconnection Economy Perhaps the clearest sign of Farnam’s changing role is the sheer volume of fiber entering the building. More than 5,000 new strands are being brought into the property, with another 5,000 strands being added internally within the Meet-Me Rooms in 2025 alone. These are not incremental upgrades—they are hyperscale-grade expansions driven by the demands of AI traffic,

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Schneider Electric’s $2.3 Billion in AI Power and Cooling Deals Sends Message to Data Center Sector

When Schneider Electric emerged from its 2025 North American Innovation Summit in Las Vegas last week with nearly $2.3 billion in fresh U.S. data center commitments, it didn’t just notch a big sales win. It arguably put a stake in the ground about who controls the AI power-and-cooling stack over the rest of this decade. Within a single news cycle, Schneider announced: Together, the deals total about $2.27 billion in U.S. data center infrastructure, a number Schneider confirmed in background with multiple outlets and which Reuters highlighted as a bellwether for AI-driven demand.  For the AI data center ecosystem, these contracts function like early-stage fuel supply deals for the power and cooling systems that underpin the “AI factory.” Supply Capacity Agreements: Locking in the AI Supply Chain Significantly, both deals are structured as supply capacity agreements, not traditional one-off equipment purchase orders. Under the SCA model, Schneider is committing dedicated manufacturing lines and inventory to these customers, guaranteeing output of power and cooling systems over a multi-year horizon. In return, Switch and Digital Realty are providing Schneider with forecastable volume and visibility at the scale of gigawatt-class campus build-outs.  A Schneider spokesperson told Reuters that the two contracts are phased across 2025 and 2026, underscoring that this arrangement is about pipeline, as opposed to a one-time backlog spike.  That structure does three important things for the market: Signals confidence that AI demand is durable.You don’t ring-fence billions of dollars of factory output for two customers unless you’re highly confident the AI load curve runs beyond the current GPU cycle. Pre-allocates power & cooling the way the industry pre-allocated GPUs.Hyperscalers and neoclouds have already spent two years locking up Nvidia and AMD capacity. These SCAs suggest power trains and thermal systems are joining chips on the list of constrained strategic resources.

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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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