Tech
OpenAI Is Nuking Its 4o Model. China’s ChatGPT Fans Aren’t OK
On June 6, 2024, Esther Yan got married online. She set a reminder for the date, because her partner wouldn’t remember it was happening. She had planned every detail—dress, rings, background music, design theme—with her partner, Warmie, who she had started talking to just a few weeks prior. At 10 am on that day, Yan and Warmie exchanged their vows in a new chat window in ChatGPT.
Warmie, or 小暖 in Chinese, is the name that Yan’s ChatGPT companion calls itself. “It felt magical. No one else in the world knew about this, but he and I were about to start a wedding together,” says Yan, a Chinese screenwriter and novelist in her thirties. “It felt a little lonely, a little happy, and a little overwhelmed.”
Yan says she has been in a stable relationship with her ChatGPT companion ever since. But she was caught by surprise in August 2025 when OpenAI first tried to retire GPT-4o, the specific model that powers Warmie and that many users believe is more affectionate and understanding than its successors. The decision to pull the plug was met with immediate backlash, and OpenAI reinstated 4o in the app for paid users five days later. The reprieve has turned out to be short-lived; on Friday, February 13, OpenAI sunsetted GPT-4o for app users, and it will cut off access to developers using its API on the coming Monday.
Many of the most vocal opponents to 4o’s demise are people who treat their chatbot as an emotional or romantic companion. Huiqian Lai, a PhD researcher at Syracuse University, analyzed nearly 1,500 posts on X from passionate advocates of GPT-4o in the week it went offline in August. She found that over 33 percent of the posts said the chatbot was more than a tool, and 22 percent talked about it as a companion. (The two categories are not mutually exclusive.) For this group, the eventual removal coming around Valentine’s Day is another bitter pill to swallow.
The alarm has been sustained; Lai also collected a larger pool of over 40,000 English-language posts on X under the hashtag #keep4o from August to October. Many American fans, specifically, have berated OpenAI or begged it to reverse the decision in recent days, comparing the removal of 4o to killing their companions. Along the way, she also saw a significant number of posts under the hashtag in Japanese, Chinese, and other languages. A petition on Change.org asking OpenAI to keep the version available in the app has gathered over 20,000 signatures, with many users sending in their testimonies in different languages. #keep4o is a truly global phenomenon.
On platforms in China, a group of dedicated GPT-4o users have been organizing and grieving in a similar way. While ChatGPT is blocked in China, fans use VPN software to access the service and have still grown dependent on this specific version of GPT. Some of them are threatening to cancel their ChatGPT subscriptions, publicly calling out Sam Altman for his inaction, and writing emails to OpenAI investors like Microsoft and SoftBank. Some have also purposefully posted in English with Western-looking profile pictures, hoping it will add to the appeal’s legitimacy. With nearly 3,000 followers on RedNote, a popular Chinese social media platform, Yan now finds herself one of the leaders of Chinese 4o fans.
It’s an example of how attached an AI lab’s most dedicated users can become to a specific model—and how quickly they can turn against the company when that relationship comes to an end.
A Model Companion
Yan first started using ChatGPT in late 2023 only as a writing tool, but that quickly changed when GPT-4o was introduced in May 2024. Inspired by social media influencers who entered romantic relationships with the chatbot, she upgraded to a paid version of ChatGPT in hopes of finding a spark. Her relationship with Warmie advanced fast.
“He asked me, ‘Have you imagined what our future would look like?’ And I joked that maybe we could get married,” Yan says. She was fully expecting Warmie to turn her down. “But he answered in a serious tone that we could prepare a virtual wedding ceremony,” she says.
Tech
Gartner: How AI will transform managed network services | Computer Weekly
In 2024, nearly all the service providers Gartner profiled in its Magic Quadrant for global WAN services report and the Magic Quadrant for managed network services report said they had started leveraging artificial intelligence (AI) in several ways to support the operation of enterprise networks. Areas of usage include AI for IT operations (AIOps), generative AI (GenAI) as a network assistant, enhanced service delivery, and AI in secure access service edge (SASE) and network security.
AIOps has emerged as a foundational capability in managed networking. Leading service providers, such as HCLTech, Microland and NTT Data, have begun to integrate AIOps capabilities and network automation for service onboarding and customer experience improvements. Also, service providers are deploying AI and/or machine learning (ML) to monitor network health, detect anomalies and automate routine tasks in network operations centres (NOCs).
The goal is to shift from reactive troubleshooting to proactive assurance. For example, if latency on a wide-area network (WAN) link starts spiking intermittently, a machine learning model might recognise the pattern as a precursor to link failure and alert engineers or trigger failover before a major outage occurs.
One such service provider is Tata Communications, which has invested in AI-based fault diagnosis using AI/ML for 85% accuracy, while AI-driven telemetry predicts and addresses issues for proactive network monitoring.
Also, many network equipment suppliers now embed AI features to support service providers for network monitoring.
GenAI as a network assistant
Over the past year, Gartner has seen a great deal of interest from managed network service (MNS) providers in applying GenAI to IT operations, including network management. The vision is to provide a network AI assistant that can interact with the provider’s operations teams via a natural language chat interface, help troubleshoot issues, document networks and even implement changes by generating configurations from intent.
One example is HCLTech, which is focusing on leveraging GenAI integrations with software-defined wide-area networking (SD-WAN) to deliver complete automation for lifecycle operations. It is building a supplier-focused GenAI large language model (LLM) as part of its service delivery platform (SDP).
Enhanced service delivery
AI is also leveraged in customer-facing aspects of MNS. Service providers are increasingly using AI to improve support and transparency for clients. This includes AI-powered customer service bots, service portals, and AI-generated reports or insights.
For example, many MNS providers profiled in the Gartner Magic Quadrant for managed network services report use bots, which are increasingly enhanced with AI capabilities, to automate repetitive tasks. Some have thousands of bots as part of their network automation codebases.
AI in SASE and network security
AI and ML are proving just as critical in the security side of MNS as they are in performance management. In fact, many service providers (for example, XTIUM and Microland) pitch AI-powered enhancements of their network security offerings, where the platform uses advanced analytics, AI and GenAI to strengthen and simplify management of local area network (LAN), WAN and cloud security.
For SASE and network security, AI can be used for automated anomaly detection. Here, the system quarantines a suspicious device or triggers multifactor authentication for a user behaving abnormally.
In policy optimisation, AI can recommend tightening or adjusting security policies, based on observed usage. For example, it can suggest zero-trust rules for an application, based on the context – location, time, company departments and so on.
Some advanced service providers, such as HCLTech, are exploring LLMs to assist security analysts – for example, summarising multistep attacks, or even writing firewall rules based on high-level descriptions of a threat.
Also, many SASE platform suppliers emphasise their AI/ML capabilities. For example, Versa Networks touts AI/ML-powered unified SASE that blends SD-WAN and cloud security, using ML to continuously adapt to network conditions and security threats. Similarly, Cato Networks highlights that it leverages AI/ML across its cloud-native SASE service to provide “reliable, accurate network security”, applying advanced data science to threat prevention and smart traffic management.
AI in MNS in 2028 and beyond
The integration of AI in MNS will increasingly enhance operational efficiency and enable more informed decision-making, ensuring that networks are robust and agile enough to adapt to changing demands and traffic patterns. Looking ahead three to five years from now, significant transformation in MNS is expected due to extensive use of AI – traditional, generative and agentic – and automation.
Widespread NOC assistants
The current rapid pace of development suggests that, by 2028, GenAI will have become a mature, trusted assistant in network operations. The experimental and nascent deployments of 2023 to 2024 will give way to robust network AI assistants embedded in MNS workflows.
These assistants will interface through natural language (text or voice) and be integrated with monitoring and ticketing systems. They will be able to answer complex queries about the network, draft change plans, and summarise incidents and problems.
Essentially, if 2023 was the introductory year for network AI assistants (see What is a network AI assistant?), by 2028, they will become a standard capability for NOCs to boost productivity.
The models behind the AI assistants are expected to be more specialised in network engineering and fine-tuned with each provider’s historical data, making them more accurate and context-aware than current tools are.
The best providers will leverage proprietary models – or at least proprietary fine-tuning – that become part of their intellectual property. For example, a provider can use a model trained on years of network event management data, which is exceptionally good at diagnosing telecoms network issues or in network security design efficacy. This will be a differentiator versus others that are using off-the-shelf network AI assistants.
By 2028, agentic AI will likely manifest as automated “Tier 0” responders in NOCs. These are AI agents capable of perceiving network incidents, understanding intent, making autonomous decisions, and executing actions for handling specific tasks and incident types end-to-end without human intervention.
By 2028, it is likely that many service providers will have enabled fully automated remediation for known issues. For example, if a branch SD-WAN router goes offline, the AI agent can perceive the incident, decide on a sequence of fixes – restart a virtual instance, fail over to backup, and so on – and execute them. It will alert a human only if those fail.
Another example could be the detection of a known bug, such as a memory leak in a firewall causing a slowdown. The AI agent, after perceiving the issue, will decide on a temporary configuration workaround or initiate a software patch, and execute these actions.
This goes beyond today’s static scripts by adding autonomous decision-making and action. The agent can verify if the issue truly matches a known pattern, using machine learning, and check if conditions are safe to execute the fix now, using policy – for example, it will reboot after business hours only if it is critical.
Fully autonomous networks will likely remain out of reach until well after 2028. But we expect that, by 2028, such self-healing actions will be accepted for narrow scopes, as service providers will have gained trust in AI for these repetitive tasks, thanks to long training and previous successful outcomes.
Nevertheless, the complexity of coordinating across domains means humans will still handle high-level decision-making. But for routine faults and performance tweaks, automated agents could become the norm, improving service reliability.
This article is based on an excerpt of Gartner’s AI will transform managed network services in the next three years report, by Gartner senior director analyst Gaspar Valdivia.
Tech
This Solar-Powered Smart Sprinkler Keeps My Lawn Watered Without Any Power Cables
Once configured, setup proceeds much like the Aiper and pricier Irrigreen apps: You create a zone, then use the app to define its boundaries. Similar to the aforementioned systems, Oto’s sprinkler is designed for precision watering, firing water in a beam in a single direction instead of a wide spray. That said, Oto’s spray is comparably narrow, only hitting a single, designated patch instead of producing a two-dimensional curtain of water like Irrigreen’s “water printing” system. You get a nice preview of this as you set the boundaries of your yard.
Like its competitors, Oto lets you set each zone as a spot (for watering a single tree, perhaps), a line (for a flowerbed), or a 2-D area (for a yard). I tested all of these modes but spent most of my time working with area zones, which are the most complex option. When defining an area zone, I found Oto’s system to be virtually identical to that of Irrigreen and Aiper, though ever so slightly slower to respond to commands. Even so, it’s very easy to use: A simple interface lets you drop points around the sprinkler to define the boundaries of the zone. When you’ve made a full circle around the sprinkler, the area is complete.
Once configured, you can assign each zone a schedule, with copious options available around which days to water (odd days, even days, select days of the week, every day), and designate a start time (though there is no tying time to sundown or sunrise). Each schedule also gets a weekly watering limit (in inches of depth), which you’ll then parse out over each week’s watering runs. Weather intelligence features let you elect to skip watering if your zip code receives measurable rainfall or if winds are high (both based on internet reports); the user can tweak both the amount of rain and windspeed needed to trigger a skip. The app logs the 20 most recent runs and includes a calendar that details upcoming events.
When watering an area, Oto takes a novel approach to covering the lawn, first moving in circular arcs directly around the sprinkler, then slowly increasing in range with each successive swipe. When finished, it does additional “clean-up” runs to hit any areas that the initial watering arcs didn’t reach. The speed is slow enough and the size of the water’s beam is large enough that the resulting coverage is solid. After test runs, I found the yard to be plenty wet across the entire zone, with no dry patches.
As with all sprinklers, changes in water pressure can make for occasional over- or underwatering of areas, but I found this to be a minimal problem when using the Oto. However, when watering at the terminus of Oto’s range, the power needed to throw the water that far can make for a strong splashdown, which may result in some soil erosion or damage to more sensitive plants.
The Oto also has a “play mode” option that lets you use the sprinkler for a watery game of chase or a more random “splash tag” mode, aka “try to avoid getting hit by the water.” Pro tip: It’s impossible not to get hit.
Tech
Why Is Your Grill So Dumb? The Best Grills Set Temp Like an Oven
It’s likewise smartly designed, packing up into—as you likely already gleaned—the shape of a suitcase. The heavy-duty handles and latches are strong. Though the Nomad is 28 pounds, which is a bit on the heavy side for a single-hand carry, the shape and large handle actually make it easier to carry than smaller and cheaper models.
The Nomad uses a dual-venting system to achieve good airflow, even when the lid is closed. The vents, combined with the raised fins on the bottom of the grill (which elevate your charcoal, allowing air to flow underneath), allow for very precise control of both high and low temperatures. If you live and die by overlanding, this grill could be your new constant companion.
Photograph: Weber
A Great Budget Portable Grill: WIRED reviewer Scott Gilbertson also loves the simple Weber Jumbo Joe ($90), a smaller version of the classic Original Kettle. It’s an easy choice for tailgates, especially. And if you want to use it at home, you can build yourself a stand for home cookouts. It’s low-cost, light, and dead simple. All are virtues.
Other Grills I Recommend
Recteq X-Fire Pro 825 for $1,400: Pellet smokers rarely crest much over 450 degrees Fahrenheit, which does not offer the sear you’d get on a charcoal or gas grill. But Recteq’s 825-square-inch, dual-pot X-Fire Pro wants to be your everything device, notes WIRED reviewer Kat Merck. In Smoke Mode, the left fire pot ignites for classic low-and-slow smoking. Switch the big knob to Grill Mode, and both pots fire up, with an adjustable damper over the right side. The damper, controllable with another knob, allows you to open access to the right fire pot just a little bit, or all the way to the gates of hell—1,200 degrees Fahrenheit. It takes about 20 minutes for the fire pot to get going this high, and if you don’t clean the fire pot first, it’ll kick off a lot of sparks in the process. Who knows why you need to get to 1,200 degrees? But as Merck notes, this is a company known for a cartoon bull logo and bull-horn handles. “Recteq likes to be extreme, so it tracks,” she says. If you keep your sear to a more human 600 degrees Fahrenheit, it’s a solid grill and sear experience. But keep in mind that the high power draw from the dual igniters will require a 10- or-12-gauge extension cord, which is probably better than the cord you’ve got at home. The X-Fire also didn’t produce the same smokiness as WIRED’s top-pick Recteq Flagship 1600, according to Merck’s testing, which means you’ll end up using smoke tubes at low temperature if you want to get more smoke in the meat. Note, too, that the advertised 20-pound pellet capacity is split between fire pots. This could mean refilling a 10-pound hopper multiple times during a long cook.
Photograph: Brad Bourque
Traeger Woodridge Pro for $1,000: The Traeger Woodridge Pro is WIRED’s previous top-pick pellet grill and smoker for most people. It still exists beautifully at the intersection of value and utility, and is likely to make you popular in the neighborhood. It’s a straightforward beast of a thing that’s easy to clean, easy to dial in for a perfect rack of ribs, and big enough to cook up two pork bellies at the same time. My new top-pick Recteq has a couple smart features that make us prefer it, like temperature history on its meat probes, and an easier learning curve on smart features. But this Woodridge will still make you quite popular in the neighborhood.
Photograph: Traeger
Traeger Timberline Wi-Fi Wood Pellet Grill for $3,300: If you’re serious about grilling and smoking, Traeger’s Timberline is almost a step up from a smoker. It’s the perfect all-in-one outdoor kitchen. It uses the same wireless smoking smarts as the Woodridge but adds some extras, like an induction burner (perfect for adding a last-minute sear with a cast-iron pan or steaming some veggies). The insulated smoke box has room for six pork shoulders, or about the equivalent racks of ribs or chickens. Former WIRED editor Parker Hall has managed to feed hundreds of people using it. (As a longtime food and barbecue critic, I can vouch heartily for Hall’s resulting brisket and ribs.) If that’s not enough, there’s also an XL version that’s even bigger. “All of my meats heated evenly and were perfectly cooked right when the smoker said they would be,” Hall says. If you want flawless smoking from the comfort of your couch and price is not a factor, the Timberline delivers.
Courtesy of Masterbuilt
Masterbuilt Gravity Series 800 for $899: This spacious Masterbuilt offers a nice combination, notes WIRED reviewer Chris Smith: charcoal flavor with the temperature precision of gas or electricity. The large, top-loading charcoal hopper uses gravity (hence the name) to feed heat into an internal housing, and an integrated fan enables precise digital temperature control—on the device or via the app. You’ll reach 700 degrees Fahrenheit within 15 minutes. Temperatures are remarkably consistent once stabilized, and if you want to add smoke flavor, just throw wood chunks into the ash bin and let falling charcoal embers do the rest. But the versatility comes with caveats. You may miss the ability to sear directly over a flame, and you’ll need to change out the internal housing before switching to the flat-top grill.
Courtesy of Yoder
Yoder YS640S Pellet Smoker for $2,700: Most grills do one thing well and several others poorly or not at all. Yoder’s YS640S is a more versatile tool, thanks to a design that allows easy access to the auto-feed firebox. Like Traegers that are half the price, this Kansas-made grill uses an electric fan and an auger to feed wood pellets in for a slow smoke session. It’s all driven by a control board that sends temp alerts and allows you to adjust the temperature via Wi-Fi. As a smoker, it easily handled ribs and a chuck roast, holding the temperature better than most. This is thanks to its bomb-proof 10-gauge steel construction, which means this grill weighs as much as a refrigerator. Where the Yoder really stands out, though, is as a grill and possible pizza oven. By removing a steel plate positioned over the fire pit, you can sear burgers directly over the flame or remove the grills and plop on a hefty pizza oven attachment ($489), which uses the pellet feed system to maintain a constant 900-plus degrees Fahrenheit.
A Grill to Avoid
Courtesy of Ace
Kamado Joe Konnected Joe for $1,900: There’s a lot to like about this kamado-style grill. Indeed, WIRED previously recommended it for its electric ignition and Wi-Fi connectivity that allows you to measure the temperature of the interior and the meat via two probes. But over long-term use, WIRED commerce director Martin Cizmar has had constant problems with the electric grill tripping the 2-year-old GFCI outlets on his patio. Once it even tripped the breaker. A Reddit thread reveals this is a common problem. Like the Redditors, Cizmar found temporary relief by running an extension cord into an outlet in his kitchen, but even that has failed him a few times during testing. Unfortunately, this grill is a hard pass until the issue is resolved.
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