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Onscreen’s TV-based AI companion provides help for elder caregivers

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Onscreen has been providing caregivers and seniors with an AI-based companion called Joy to help family members take care of older adults. Now it’s bringing its Joy AI companion app to Android tablets and iPads. The […]

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Onscreen has been providing caregivers and seniors with an AI-based companion called Joy to help family members take care of older adults. Now it’s bringing its Joy AI companion app to Android tablets and iPads.

The company knows caregivers are outnumbered by those who need care in this country. I felt the reality of that as I and a team of caregivers took care of my mother before she died from dementia this year. And so it gave me a little hope to see Onscreen working on TV-based technology for AI companions for older adults last year. Now the company has a new way to reach seniors.

Onscreen Joy is an AI companion that reduces social isolation, supports aging in place, and enhances quality of life for older folks. It introduced the products at CES 2025, the big tech trade show in Las Vegas this week where it will be evident that tech companies are targeting seniors now.

Of course, we can say that it’s always better for the elderly to have human support for their caregiving. But the reality is there just aren’t enough caregivers. And there’s a loneliness epidemic that is making the onset of dementia with the elderly worse.

The new Onscreen Joy tablet app, is designed to enhance communication, companionship, and care for older adults. Unveiled at CES 2025, this new offering expands Onscreen’s mission to address social isolation and make care more accessible for seniors and their families. Onscreen AI-based care solutions will be on display at CES 2025 in AgeTech Atlanta booth (Venetian Expo Level 2 Halls A-D: Booth 54600).

“Here at Onscreen, we are building the TV solution for older adults. Every day, 10,000 people become a senior in this country. There’s over 22 million folks over the age of 75, over 13 million folks over the age of 80, and they all struggle with technology to certain some point as they age,” CEO Costin Tuculescu said in an interview with GamesBeat some weeks ago. “It just gets harder and harder and harder.”

He added, “On the other side of that equation, you have a family members, who are usually their adult children, that just start to worry. They want to see their parents. They want to make sure the parents are thriving, that they’re doing well, but it’s hard trying to get 80-year-old mom or dad on a zoom call.”

To deal with that, Tuculescu said, “We have created a product to make the tech extremely senior friendly. Bring family communication and keep everybody in the loop. Bring socialization to address problems like loneliness and isolation, and bring an AI companion into the home that lets us stay in touch with our older adults. And the AI companion, in essence, is always available to the senior and collects information about how the senior is doing things that they need. And then further, kind of connects the family with the senior to make sure everything they need is handled.”

Expanding Joy AI to tablets

Onscreen’s Joy AI companion can remind seniors when to take medicine.

Building on the success and learnings of its TV-based Moment senior care platform, the Onscreen Joy app eliminates the requirement for a new hardware device, and brings Onscreen’s most important senior care features of the platform to Android tablets and iPads. It’s like Roku for seniors.

This new app enables families to set up a senior care hub using devices they already own, often older generation devices that collect dust once the upgrade cycle comes around. By lowering the barriers to entry and leveraging existing hardware, Onscreen Joy enables more seniors and families to benefit from Onscreen’s broader caregiving platform.

“Launching Onscreen Joy at CES 2025 is a significant step toward opening up the Onscreen ecosystem, and making the powerful capabilities of Onscreen available to more families that need them,” said Tuculescu. “Our goal from day one has been to simplify technology so that seniors feel supported and engaged. By offering a tablet-based solution, we’re removing barriers and empowering families to use their existing devices to provide meaningful care.”

Key Features of Onscreen Joy

The app includes a wide range of capabilities designed to enhance the lives of seniors and
their families:

  • “Joy” the Personal Companion: Offers engaging conversations, trivia, jokes, and creative activities like painting, bringing entertainment and stimulation to seniors.
  • AI Wellness Check-Ins: Joy performs wellness check-ins in the form of friendly reminders for essential activities like taking medication, eating meals, drinking water, and engaging in physical activity.
  • Automatic Video Call Answering: Automatically connects seniors with trusted family members in their “Favorites” list, making communication seamless. Callers using both iOS and Android devices can easily connect with their older loved ones, overcoming the limitations of proprietary video calling systems tied to specific mobile operating systems (ie FaceTime).
  • Family Zoom Sessions: Allows seniors to join family Zoom calls without requiring any effort, ensuring they stay connected to larger family gatherings.
  • Simple Text, Photo and Video Messaging: Displays text messages, photos, and videos in an easy-to-read format, making it simple for seniors to engage with shared content.
  • Live Interactive Events: Provides access to live events and activities, enabling seniors to participate in engaging and interactive experiences from the comfort of their home, with no technical assistance required.
  • YouTube Content Sharing: Plays videos shared by family members directly on the tablet, offering a personalized entertainment experience.
  • Photo Gallery & Slideshow: Organizes shared photos into a dedicated gallery, creating a visual archive of cherished memories. Optionally, when the tablet is idle, photos of loved ones will be rotating through, effectively providing a convenient picture frame.

Updates to the Onscreen family app

Onscreen helps seniors make calls with intuitive controls.

In addition to launching the Onscreen Joy senior care tablet app, the company has rebranded its existing app for family members and caregivers as Onscreen Family. This app continues to provide an intuitive way for families to stay connected with their older loved ones through features like video calls, photo sharing, and real-time updates.

Onscreen Family works seamlessly with Onscreen Joy, creating a comprehensive solution that meets the needs of both seniors and their support networks. Additionally, Onscreen provides a web application for users that prefer to set up Routines on a larger screen, and gives family caregivers the ability to trends and outcomes resulting from Joy’s check-ins with the senior.

The loneliness epidemic

Whether through friendly conversation, mental stimulation with trivia games and brain teasers, or creative sessions like generating a painting, Joy offers daily interactions that reduce loneliness and foster emotional well-being. By engaging older adults in meaningful and fun activities, Joy helps keep their minds active and spirits lifted, all from the comfort of their TV — a familiar device for seniors.

Rolled out this fall, Onscreen provide caregivers and senior care professionals with insights into the daily lives of their loved ones or patients through an accessible TV-based format. As the aging population grows, Joy’s enhanced features promote well-being, support activities of daily living, enable health monitoring, and increase cognitive and emotional engagement, offering a clearer picture of health and safety while reducing feelings of isolation.

“Loneliness and isolation is a massive problem. It affects about 40% of seniors,” Tuculescu said. “Loneliness and isolation gives you a 50% increased risk of dementia, 30% increased risk of stroke, 35% increased risk of heart heart disease.”

Onscreen’s own studies show 88% of caregivers reported reduced loneliness among their loved ones; 76% observed a significant increase in happiness; and 86% noted improvements in overall well-being.

These findings highlight the profound difference that accessible technology can make in the lives of seniors, particularly those facing cognitive challenges.

With regular check-ins and conversations, Joy helps seniors age in place for a longer time by providing helpful reminders, companionship, and mental stimulation, all while reporting insightful details about their daily activity, as well as their physical and mental health, to loved ones and caregivers, said Costin Tuculescu, CEO of Onscreen, in an interview with VentureBeat.

Tuculescu has a personal stake in this, as do we all, as he was inspired to start the business after caring for his mother.

Tuculescu saw how much platforms like Zoom helped in the pandemic, but he also saw the challenges that the older population had, even with something as simple as video communication.

“My parents are in their mid 70s. I connected with my other cofounder for Onscreen, who was Jerry Norton. He previously had a company that was acquired by GoTo Meeting. So we really have this whole conferencing and communication background and he went through the entire journey with his parents aging, having a really hard time staying connected with them, eventually passing away in a senior living facility, seeing the loneliness, seeing how disconnected they become,” Tuculescu said. “So he’s very passionate about this. I got parents in my mid 70s, and I see how their cognitive aspects are changing, and I know that we’re going to need better tools to support the general population.”

Onscreen can perform a general wellness check, giving a comprehensive assessment of the senior’s health, emotional state, and living conditions to ensure well-being and comfort. Joy can also do a meal and hydration check, confirming whether meals have been eaten and if the user has been drinking enough water.

Joy also encourages physical activity, promoting mobility and overall physical well-being. And it performs a sleep quality, monitoring sleep and rest patterns. And Joy offers gentle reminders to maintain personal hygiene and ensure a safe, secure living environment.

A gaming element

There’s also a gaming part of this. Joy offers memory lane and brain teasers. These are engaging sessions for reminiscing or mental stimulation, promoting positive emotions and cognitive sharpness.

And it has daily jokes and trivia games. These are fun, interactive moments that lift spirits and entertain elders. The patients can also paint. Joy can prompt the user to generate a unique painting, fostering creativity and engagement.

Caregivers and family members can see the paintings their loved ones create in the Onscreen mobile app, save them, and even share them with family and friends.

These new capabilities complement Joy’s initial set of check-in routines that have already started to roll out earlier this year:

Joy can also do a casual check-in focused on providing friendly conversation and company, purely for social connection. And it can do a medication check, where Joy reminds users to take prescribed medication, asking about side effects or challenges and ensuring they stay on schedule.

Lastly, Joy can perform a pain and happiness check. It can check on both physical pain and emotional happiness, asking users to rate their well-being to offer personalized empathy and care.

Availability and pricing

Onscreen Joy is available now on the App Store and Google Play Store. Families can start with a 30-day free trial, allowing them to explore the app’s features and benefits. After the trial, the service is available for a subscription fee of $9.99 per month, offering an affordable way to enhance connection, companionship and care for senior loved ones.

A trusted senior care technology partner

Onscreen has established itself as a trusted name in senior care technology by creating solutions that address the unique challenges faced by older adults and their families. The
company’s flagship product, Moment, a TV-based senior care device, along with the
companion Onscreen Family app for caregivers, leverages the familiarity and comfort of
the TV to provide AI-powered companionship, reminders, seamless video calling with loved
ones, live Zoom classes, and even the ability to provide TV tech support from anywhere.

Recognized for its innovative approach, Onscreen has earned accolades such as the CES 2024 CES AARP AgeTech After Dark Pitch Competition win and selection into the AARP AgeTech Collaborative Accelerator. These achievements highlight Onscreen’s ongoing commitment to addressing the challenges of the growing aging population and improving quality of life for seniors.

Beyond senior care, Onscreen’s technology has also demonstrated its potential to serve diverse markets. As one of four finalist companies selected for the CTA Foundation’s Digital Health Innovation Challenge, Onscreen is adapting its AI-driven solutions to improve accessibility and wellness for working-age adults with intellectual and developmental disabilities. This recognition underscores the flexibility and scalability of Onscreen’s platform to address a variety of unique needs across different demographics.

Safe and trustworthy AI models

Costin Tuculescu is CEO of Onscreen, which helps seniors with an AI companion.

Tuculescu said he understands that trust is one of the most, if not THE most, important issue for its customers and partners. That’s why Joy’s AI operates on highly secure and vetted models, ensuring safety at every step.

Joy filters out harmful content and uses techniques like Reinforcement Learning with Human Feedback (RLHF) to ensure responses are accurate, reliable, and aligned with trusted policies.

Powered by OpenAI’s latest models, Joy leverages cutting-edge methods to prevent security vulnerabilities, making it safe for home and senior care environments.

A vision for the future of AI in senior care

These innovations are just the beginning of using AI for senior care, Tuculescu said.

The company is working to enable Joy to provide 24/7 companionship and support for elders both at home and in senior living communities.

With the silver tsunami approaching, these solutions are more critical than ever, Tuculescu said.

In addition to emotional support, Joy’s check-ins provide practical assistance to help older adults maintain healthy routines. From reminding them to take medications and stay hydrated to checking in on sleep quality, safety, and hygiene, Joy ensures that older adults are receiving gentle reminders to stay well while promoting independence. With Joy, older adults can enjoy companionship and care in a seamless, unobtrusive way, improving their day-to-day quality of life.

How Joy benefits family caregivers

Family caregivers can stay more connected and engaged with their loved ones’ well-being through the updated Onscreen mobile apps. These apps now feature a Companion Tab, which allows caregivers to view Joy’s interactions with their loved ones at a glance.

With just one tap, they can see the results of daily health check-ins, medication reminders, and hydration prompts, ensuring their loved ones are maintaining healthy routines. The app also captures moments of creativity and joy, such as paintings generated during interactive sessions, which caregivers can save and share with family members, creating a more connected and engaged caregiving experience.

This easy access to critical information provides caregivers with the peace of mind that they can monitor their loved one’s emotional, physical, and social well-being anytime, no matter where they are. Whether it’s keeping track of meal times, exercise reminders, or simply knowing their loved ones are engaged in meaningful activities, Onscreen’s mobile app empowers caregivers to stay involved in the daily lives of their family members conveniently and compassionately.

How Joy can benefit enterprises

For Enterprise customers—including senior living communities, home care agencies, and healthcare providers—Onscreen’s Enterprise Manager dashboard offers advanced functionality for managing a large number of devices and users.

The dashboard provides detailed insights into health check-ins, wellness metrics, and other data gathered through Joy’s AI interactions, enabling care organizations to deliver personalized and efficient care at scale. With tools to monitor multiple users and devices, the Enterprise Manager dashboard is a powerful solution for organizations looking to enhance care delivery and improve outcomes for seniors in their care.

Onscreen also offers Onscreen Live, which helps older adults participate in live online classes and events from the comfort of their TV. This innovative solution is made possible through new partnerships with The Loop Village and Discover Live, bringing a diverse range of interactive activities directly to the living rooms of older adults.

With Onscreen Live, it is possible to access live and interactive classes and content directly from the TV. Onscreen’s integrated camera and microphone now makes it seamless to fully participate in these live activities for seniors, allowing a fully engaging and interactive experience for older adults that may traditionally struggle to get technology working.

The Onscreen Live offering is an add-on to a user’s existing Onscreen subscription. Customers can choose to subscribe to either provider – The Loop Village or Discover Live, for a flat monthly fee of $50.

Onscreen has participated in the AgeTech Collaborative accelerator program, an eight-week program designed to elevate promising early-stage AgeTech startups. Onscreen also has an application programming interface (API) and an enterprise-grade device management portal.

The API gives Onscreen partners the ability to seamlessly integrate their services with Onscreen’s innovative TV-based video calling platform.

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Nokia predicts huge WAN traffic growth, but experts question assumptions

Consumer, which includes both mobile access and fixed access, including fixed wireless access. Enterprise and industrial, which covers wide-area connectivity that supports knowledge work, automation, machine vision, robotics coordination, field support, and industrial IoT. AI, including applications that people directly invoke, such as assistants, copilots, and media generation, as well as autonomous use cases in which AI systems trigger other AI systems to perform functions and move data across networks. The report outlines three scenarios: conservative, moderate, and aggressive. “Our goal is to present scenarios that fall within a realistic range of possible outcomes, encouraging stakeholders to plan across the full spectrum of high-impact demand possibilities,” the report says. Nokia’s prediction for global WAN traffic growth ranges from a 13% CAGR for the conservative scenario to 16% CAGR for moderate and 22% CAGR for aggressive. Looking more closely at the moderate scenario, it’s clear that consumer traffic dominates. Enterprise and industrial traffic make up only about 14% to 17% of overall WAN traffic, although their share is expected to grow during the 10-year forecast period. “On the consumer side, the vast majority of traffic by volume is video,” says William Webb, CEO of the consulting firm Commcisive. Asked whether any of that consumer traffic is at some point served up by enterprises, the answer is a decisive “no.” It’s mostly YouTube and streaming services like Netflix, he says. In short, that doesn’t raise enterprise concerns. Nokia predicts AI traffic boom AI is a different story. “Consumer- and enterprise-generated AI traffic imposes a substantial impact on the wide-area network (WAN) by adding AI workloads processed by data centers across the WAN. AI traffic does not stay inside one data center; it moves across edge, metro, core, and cloud infrastructure, driving dense lateral flows and new capacity demands,” the report says. An

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Cisco amps up Silicon One line, delivers new systems and optics for AI networking

Those building blocks include the new G300 as well as the G200 51.2 Tbps chip, which is aimed at spine and aggregation applications, and the G100 25.6 Tbps chip, which is aimed at leaf operations. Expanded portfolio of Silicon One P200-powered systems Cisco in October rolled out the P200 Silicon One chip and the high-end, 51.2 Tbps 8223 router aimed at distributed AI workloads. That system supports Octal Small Form-Factor Pluggable (OSFP) and Quad Small Form-Factor Pluggable Double Density (QSFP-DD) optical form factors that help the box support geographically dispersed AI clusters. Cisco grew the G200 family this week with the addition of the 8122X-64EF-O, a 64x800G switch that will run the SONiC OS and includes support for Cisco 800G Linear Pluggable Optics (LPO) connectivity. LPO components typically set up direct links between fiber optic modules, eliminating the need for traditional components such as a digital signal processor. Cisco said its P200 systems running IOS XR software now better support core routing services to allow data-center-to-data-center links and data center interconnect applications. In addition, Cisco introduced a P200-powered 88-LC2-36EF-M line card, which delivers 28.8T of capacity. “Available for both our 8-slot and 18-slot modular systems, this line card enables up to an unprecedented 518.4T of total system bandwidth, the highest in the industry,” wrote Guru Shenoy, senior vice president of the Cisco provider connectivity group, in a blog post about the news. “When paired with Cisco 800G ZR/ZR+ coherent pluggable optics, these systems can easily connect sites over 1,000 kilometers apart, providing the high-density performance needed for modern data center interconnects and core routing.”

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NetBox Labs ships AI copilot designed for network engineers, not developers

Natural language for network engineers Beevers explained that network operations teams face two fundamental barriers to automation. First, they lack accurate data about their infrastructure. Second, they aren’t software developers and shouldn’t have to become them. “These are not software developers. They are network engineers or IT infrastructure engineers,” Beevers said. “The big realization for us through the copilot journey is they will never be software developers. Let’s stop trying to make them be. Let’s let these computers that are really good at being software developers do that, and let’s let the network engineers or the data center engineers be really good at what they’re really good at.”  That vision drove the development of NetBox Copilot’s natural language interface and its capabilities. Grounding AI in infrastructure reality The challenge with deploying AI  in network operations is trust. Generic large language models hallucinate, produce inconsistent results, and lack the operational context to make reliable decisions. NetBox Copilot addresses this by grounding the AI agent in NetBox’s comprehensive infrastructure data model. NetBox serves as the system of record for network and infrastructure teams, maintaining a semantic map of devices, connections, IP addressing, rack layouts, power distribution and the relationships between these elements. Copilot has native awareness of this data structure and the context it provides. This enables queries that would be difficult or impossible with traditional interfaces. Network engineers can ask “Which devices are missing IP addresses?” to validate data completeness, “Who changed this prefix last week?” for change tracking and compliance, or “What depends on this switch?” for impact analysis before maintenance windows.

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US pushes voluntary pact to curb AI data center energy impact

Others note that cost pressure isn’t limited to the server rack. Danish Faruqui, CEO of Fab Economics, said the AI ecosystem is layered from silicon to software services, creating multiple points where infrastructure expenses eventually resurface. “Cloud service providers are likely to gradually introduce more granular pricing models across cloud, AI, and SaaS offerings, tailored by customer type, as they work to absorb the costs associated with the White House energy and grid compact,” Faruqui said.   This may not show up as explicit energy surcharges, but instead surface through reduced discounts, higher spending commitments, and premiums for guaranteed capacity or performance. “Smaller enterprises will feel the impact first, while large strategic customers remain insulated longer,” Rawat said. “Ultimately, the compact would delay and redistribute cost pressure; it does not eliminate it.” Implications for data center design The proposal is also likely to accelerate changes in how AI facilities are designed. “Data centers will evolve into localized microgrids that combine utility power with on-site generation and higher-level implementation of battery energy storage systems,” Faruqui said. “Designing for grid interaction will become imperative for AI data centers, requiring intelligent, high-speed switching gear, increased battery energy storage capacity for frequency regulation, and advanced control systems that can manage on-site 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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