Kate Lowry, a former vice president at Insight Partners, is suing the firm, alleging disability discrimination, gender discrimination, and wrongful termination, according to a suit filed on December 30 in San Mateo County, California, and seen by TechCrunch.
Insight Partners did not immediately respond to TechCrunch’s request for comment.
Lowry told TechCrunch she filed the suit because she believes “too many powerful, wealthy people in venture act like it’s OK to break the law and systemically underpay and abuse their employees.”
“It’s an oppressive system that reflect[s] broader trends in society that use fear, intimidation, and power to silence and isolate truth. I’m trying to change that.”
Lowry began working at Insight Partners in 2022, after previously working for Meta, McKinsey & Company, and an early-stage startup. The suit alleges that, upon being hired, she was assigned to a different supervisor than the person mentioned during her interview.
She alleges in the suit that she was told by her new supervisor, who was a woman, to be “online all the time, including PTO, holidays, and weekends,” and to respond between “6 a.m. and 11 p.m. daily.”
Lowry says in the suit that this first supervisor “berated, hazed, and antagonized” her, spoke openly about a hazing that would be “longer and more intense” than what she put other male reports through.
Some comments the supervisor allegedly made, according to the suit, include “you are incompetent, shut up and take notes” and “you need to obey me like a dog; do whatever I say whenever I say it, without speaking.” Lowry also alleges that her supervisor assigned her “redundant tasks” and restricted her ability to participate in calls, while allowing less experienced male colleagues to do so. Lowry, instead, she alleges, was relegated to “administrative tasks such as note-taking and cataloging.”
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Lowry said she became “increasingly ill” because of the work environment and that her physician advised a medical leave of absence, which she was granted and took from February to July 2023.
When she returned to work, she was placed on a new team and, the suit alleges, was told by the head of human resources that “if the new team did not like her, she would be fired.”
In September 2023, Lowry said she got a concussion and took another medical leave and returned to work near the end of 2024. Due to some departures, she was placed under the supervision of a new person, where Lowry said her poor treatment continued. She also alleges that in 2024, her compensation was about 30% below the market.
By April 2025, she alleges she was told her compensation would be cut. In May of 2025, through her attorneys, Lowry sent a letter to Insight regarding her alleged treatment by the company. A week later, the firm terminated her employment, the suit states.
The lawsuit is reminiscent of Ellen Pao’s suit against Kleiner Perkins back in 2012, in which she alleged discrimination and retaliation. That suit offered what was, at the time, a rare glimpse into how women partners felt they were treated in venture capital. Though Pao lost that suit, it sent waves through the industry, and other women went on to sue major tech companies.
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#Insight #Partners #sued #vice #president #Kate #Lowry #TechCrunch
The study was published this week in Science and comes from a research team led by physicians and computer scientists at Harvard Medical School and Beth Israel Deaconess Medical Center. The researchers said they conducted a variety of experiments to measure how OpenAI’s models compared to human physicians.
In one experiment, researchers focused on 76 patients who came into the Beth Israel emergency room, comparing the diagnoses offered by two internal medicine attending physicians to those generated by OpenAI’s o1 and 4o models. These diagnoses were assessed by two other attending physicians, who did not know which ones came from humans and which came from AI.
“At each diagnostic touchpoint, o1 either performed nominally better than or on par with the two attending physicians and 4o,” the study said, adding that the differences “were especially pronounced at the first diagnostic touchpoint (initial ER triage), where there is the least information available about the patient and the most urgency to make the correct decision.”
In Harvard Medical School’s press release about the study, the researchers emphasized that they did not “pre-process the data at all” — the AI models were presented with the same information that was available in the electronic medical records at the time of each diagnosis.
With that information, the o1 model managed to offer “the exact or very close diagnosis” in 67% of triage cases, compared to one physician who had the exact or close diagnosis 55% of the time, and to the other who hit the mark 50% of the time.
“We tested the AI model against virtually every benchmark, and it eclipsed both prior models and our physician baselines,” said Arjun Manrai, who heads an AI lab at Harvard Medical School and is one of the study’s lead authors, in the press release.
Techcrunch event
San Francisco, CA|October 13-15, 2026
To be clear, the study didn’t claim that AI is ready to make real life-or-death decisions in the emergency room. Instead, it said the findings show an “urgent need for prospective trials to evaluate these technologies in real-world patient care settings.”
The researchers also noted that they only studied how models performed when provided with text-based information, and that “existing studies suggest that current foundation models are more limited in reasoning over nontext inputs.”
Adam Rodman, a Beth Israel doctor who’s also one of the study’s lead authors, warned the Guardian that there’s “no formal framework right now for accountability” around AI diagnoses, and that patients still “want humans to guide them through life or death decisions [and] to guide them through challenging treatment decisions.”
In a post about the study, Kristen Panthagani, an emergency physician, said this is an “an interesting AI study that has led to some very overhyped headlines,” especially since it was comparing AI diagnoses to those from internal medicine physicians, not ER physicians.
“If we’re going to compare AI tools to physicians’ clinical ability, we should start by comparing to physicians who actually practice that specialty,” Panthagani said. “I would not be surprised if a LLM could beat a dermatologist at an neurosurgery board exam, [but] that’s not a particularly helpful thing to know.”
She also argued, “As an ER doctor seeing a patient for a first time, my primary goal is not to guess your ultimate diagnosis. My primary goal is to determine if you have a condition that could kill you.”
This post and headline have been updated to reflect the fact that the diagnoses in the study came from internal medicine attending physicians, and to include commentary from Kristen Panthagani.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.
The study was published this week in Science and comes from a research team led by physicians and computer scientists at Harvard Medical School and Beth Israel Deaconess Medical Center. The researchers said they conducted a variety of experiments to measure how OpenAI’s models compared to human physicians.
In one experiment, researchers focused on 76 patients who came into the Beth Israel emergency room, comparing the diagnoses offered by two internal medicine attending physicians to those generated by OpenAI’s o1 and 4o models. These diagnoses were assessed by two other attending physicians, who did not know which ones came from humans and which came from AI.
“At each diagnostic touchpoint, o1 either performed nominally better than or on par with the two attending physicians and 4o,” the study said, adding that the differences “were especially pronounced at the first diagnostic touchpoint (initial ER triage), where there is the least information available about the patient and the most urgency to make the correct decision.”
In Harvard Medical School’s press release about the study, the researchers emphasized that they did not “pre-process the data at all” — the AI models were presented with the same information that was available in the electronic medical records at the time of each diagnosis.
With that information, the o1 model managed to offer “the exact or very close diagnosis” in 67% of triage cases, compared to one physician who had the exact or close diagnosis 55% of the time, and to the other who hit the mark 50% of the time.
“We tested the AI model against virtually every benchmark, and it eclipsed both prior models and our physician baselines,” said Arjun Manrai, who heads an AI lab at Harvard Medical School and is one of the study’s lead authors, in the press release.
Techcrunch event
San Francisco, CA|October 13-15, 2026
To be clear, the study didn’t claim that AI is ready to make real life-or-death decisions in the emergency room. Instead, it said the findings show an “urgent need for prospective trials to evaluate these technologies in real-world patient care settings.”
The researchers also noted that they only studied how models performed when provided with text-based information, and that “existing studies suggest that current foundation models are more limited in reasoning over nontext inputs.”
Adam Rodman, a Beth Israel doctor who’s also one of the study’s lead authors, warned the Guardian that there’s “no formal framework right now for accountability” around AI diagnoses, and that patients still “want humans to guide them through life or death decisions [and] to guide them through challenging treatment decisions.”
In a post about the study, Kristen Panthagani, an emergency physician, said this is an “an interesting AI study that has led to some very overhyped headlines,” especially since it was comparing AI diagnoses to those from internal medicine physicians, not ER physicians.
“If we’re going to compare AI tools to physicians’ clinical ability, we should start by comparing to physicians who actually practice that specialty,” Panthagani said. “I would not be surprised if a LLM could beat a dermatologist at an neurosurgery board exam, [but] that’s not a particularly helpful thing to know.”
She also argued, “As an ER doctor seeing a patient for a first time, my primary goal is not to guess your ultimate diagnosis. My primary goal is to determine if you have a condition that could kill you.”
This post and headline have been updated to reflect the fact that the diagnoses in the study came from internal medicine attending physicians, and to include commentary from Kristen Panthagani.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.
#Harvard #study #offered #accurate #emergency #room #diagnoses #human #doctors #TechCrunchbeth israel,harvard medical school,OpenAI">In Harvard study, AI offered more accurate emergency room diagnoses than two human doctors | TechCrunch
A new study examines how large language models perform in a variety of medical contexts, including real emergency room cases — where at least one model seemed to be more accurate than human doctors.
The study was published this week in Science and comes from a research team led by physicians and computer scientists at Harvard Medical School and Beth Israel Deaconess Medical Center. The researchers said they conducted a variety of experiments to measure how OpenAI’s models compared to human physicians.
In one experiment, researchers focused on 76 patients who came into the Beth Israel emergency room, comparing the diagnoses offered by two internal medicine attending physicians to those generated by OpenAI’s o1 and 4o models. These diagnoses were assessed by two other attending physicians, who did not know which ones came from humans and which came from AI.
“At each diagnostic touchpoint, o1 either performed nominally better than or on par with the two attending physicians and 4o,” the study said, adding that the differences “were especially pronounced at the first diagnostic touchpoint (initial ER triage), where there is the least information available about the patient and the most urgency to make the correct decision.”
In Harvard Medical School’s press release about the study, the researchers emphasized that they did not “pre-process the data at all” — the AI models were presented with the same information that was available in the electronic medical records at the time of each diagnosis.
With that information, the o1 model managed to offer “the exact or very close diagnosis” in 67% of triage cases, compared to one physician who had the exact or close diagnosis 55% of the time, and to the other who hit the mark 50% of the time.
“We tested the AI model against virtually every benchmark, and it eclipsed both prior models and our physician baselines,” said Arjun Manrai, who heads an AI lab at Harvard Medical School and is one of the study’s lead authors, in the press release.
Techcrunch event
San Francisco, CA|October 13-15, 2026
To be clear, the study didn’t claim that AI is ready to make real life-or-death decisions in the emergency room. Instead, it said the findings show an “urgent need for prospective trials to evaluate these technologies in real-world patient care settings.”
The researchers also noted that they only studied how models performed when provided with text-based information, and that “existing studies suggest that current foundation models are more limited in reasoning over nontext inputs.”
Adam Rodman, a Beth Israel doctor who’s also one of the study’s lead authors, warned the Guardian that there’s “no formal framework right now for accountability” around AI diagnoses, and that patients still “want humans to guide them through life or death decisions [and] to guide them through challenging treatment decisions.”
In a post about the study, Kristen Panthagani, an emergency physician, said this is an “an interesting AI study that has led to some very overhyped headlines,” especially since it was comparing AI diagnoses to those from internal medicine physicians, not ER physicians.
“If we’re going to compare AI tools to physicians’ clinical ability, we should start by comparing to physicians who actually practice that specialty,” Panthagani said. “I would not be surprised if a LLM could beat a dermatologist at an neurosurgery board exam, [but] that’s not a particularly helpful thing to know.”
She also argued, “As an ER doctor seeing a patient for a first time, my primary goal is not to guess your ultimate diagnosis. My primary goal is to determine if you have a condition that could kill you.”
This post and headline have been updated to reflect the fact that the diagnoses in the study came from internal medicine attending physicians, and to include commentary from Kristen Panthagani.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.
If Apple were ever going to make an Android phone, then they’d probably design something like the Xiaomi 17. I wouldn’t describe the build as flashy, but it’s super elegant and reminiscent of past Xiaomi flagships. I talked about this in my X300 Pro review, as creating a brand identity to compete against Samsung and Apple is super important, and Xiaomi has listened. While I was using it daily, many of my friends and family asked me what Xiaomi phone I was using—note the wording: “Xiaomi phone,” meaning they knew it was a particular brand, and that’s important. The Chinese smartphone maker said they thought of every curve, and I’ll just say it straight: the 17 is the best-feeling compact phone I’ve held this year.
The corners are crafted to perfection, the width is spot on, and even the way the aluminum frame blends into the glass without an abrupt edge makes carrying the phone a very enjoyable experience. Beyond that, the back glass is frosted to prevent the phone from slipping off glass surfaces, and the side frame doesn’t let go of its color inside a case.
Speaking of color, you get plenty of options, but my favorite is definitely the blue variant, as it has that breezy summer vibe. The buttons are tactile and positioned where your hand would naturally rest.
Moving to the camera module, Xiaomi has taken the iPhone route of individual stove-top camera cutouts. There are four of them (one houses the flash), and aside from the fact that dust is difficult to get out from between, I do quite like them. The ultrasonic fingerprint scanner is positioned at a comfy place where your thumb would naturally rest. I used it on the beach with wet hands, and it worked perfectly fine. Besides, the phone is IP69-rated for dust and water resistance, meaning it should technically withstand a swim. Did I dare take it inside the water on the beach? Absolutely not, because the IP rating is only for fresh water, and seawater can cause irreversible damage.
Display
I’ve said this before that all flagship displays are essentially the same, and that holds true for the Xiaomi 17, too. The phone features a 6.3-inch 1220 x 2656 OLED display, with an adaptive 120Hz refresh rate. This time, Xiaomi has trimmed the bezels even more for a more premium look, and I’m a fan. The panel is exceptionally color-accurate and vibrant for content consumption, as evidenced by my 3-hour run of The Pitt season 2 on the flight to Thailand. Even the HDR performance is exceptional.
Xiaomi claims a peak brightness number of 3,500 nits. Sadly, I don’t have a light meter to put the claim to the test, but from my experience using the panel in the 12 noon sun at Phi Phi Island, it’s plenty bright for outdoor use. The texts were legible, and I could use the phone for GPS navigation without squinting.
When it comes to durability, I usually don’t like to test that part myself and instead rely on user reports. However, I accidentally dropped the Xiaomi 17 on a concrete floor. The result was surprisingly good. I dropped it, without a case, from a tripod at chest height, meaning that, while the phone was in the air, all sorts of scary thoughts came to mind, including how much this repair was going to cost me. Thankfully, the phone escaped with only minor damage to the frame.
Performance & Software
Performance is what makes or breaks the smartphone experience, and it’s no surprise to anyone that the Xiaomi 17 delivers top-of-the-line performance. The Snapdragon 8 Elite Gen 5 is the best Android processor in the market, and it’s coupled with 12GB of LPDDR5X RAM and up to 512GB of UFS 4.1 internal storage. The results? The Xiaomi 17 is an absolute joy to use. It flies through the UI like nothing, and there’s ample headroom for literally any task. That being said, the phone runs on HyperOS 3, which, for the uninitiated, is a very altered version of Android that resembles more like iOS.
I don’t have a problem with the look, especially since HyperOS is one of the smoothest Android skins, with silky animations and a lot of customization. My issue is that, unlike other Chinese skins that allow you to tone down the iOS-ness, Xiaomi doesn’t.
For example, the notification shade is divided into two sections: the quick control and the panel. I don’t like that, but when I went digging in the settings to find a way to merge them, there wasn’t. Also, the back gesture is enabled in the keyboard, so when I tried deleting long text, it would often send me back instead.
There are a few silver linings I wish others would copy from HyperOS, one major one being the lockscreen customizations. There are so many options, and every one of them looks gorgeous. As this is 2026, there’s a host of AI features, such as object eraser, image upscaling, and inpainting. I tried them all, and they work exactly as you’d expect. The company also promises about six years of major software updates and security patches. This is better than vivo’s five years.
Benchmarks & Gaming
As this is a review, I also ran a series of benchmarks to test the Snapdragon 8 Elite Gen 5’s limits. The phone scored 3,415 in Geekbench’s single-core test and 10,008 in the multi-core test. These are insane numbers, especially when compared with the likes of the vivo X300 Pro and the Find X9, which score about 20%-30% lower in multi-core tests. The story remained similar on AnTuTu, where the Xiaomi 17 handsomely beat its Chinese rivals, scoring 3,423,349.
As expected, this performance translates extremely well in gaming. I’m a former PUBG (BGMI) eSports player, and my results were exceptional. The phone maintained 120 FPS gameplay even at high settings without a hint of stutter. I also like Xiaomi’s thermal management, which kept the phone from overheating during both gaming and photo capture in Thailand’s hot summer.
Battery Life & Charging
After all the chatter about the small form factor, you may expect the Xiaomi 17 to compromise on the battery life, just as other Apple and Samsung phones do. Well, you can’t be more wrong, as the Xiaomi 17 packs an even bigger battery, 6,330mAh to be precise, than the 17 Ultra. And the results are just fantastic. On the morning of my Thailand flight, I unplugged the phone at 5 am. I then continued using the phone for the rest of the day, including the three hours of The Pitt on the flight and map navigation when reaching Phuket airport. I ended the day with 20% remaining, and at 3 am the next morning, I had 20% remaining. For a more typical person, you’d be looking more at two days of usage without a hitch.
When it was finally time to charge, Xiaomi, unlike Samsung, bundles a 100W fast charger in the box that charges the phone from 20% to 80% in just 30 minutes. You also get 50W of reverse wireless charging, though that requires a specific charger.
Cameras
If a phone doesn’t fold in half or has dual screens, the only way to differentiate itself is through the cameras. They are the main reason why people lean towards a certain brand, and recently, both OPPO and vivo have been killing it. However, I think there’s room for a third king: the Xiaomi 17. Like others, it also houses a triple-sensor array, led by the 50MP LightFusion 950 sensor, a 50MP JN1 60mm telephoto, and another 50MP OV50M ultrawide lens. Colors are handled by Leica, and that’s the main strength of the Xiaomi 17. The photos it takes, with the different Leica filters, have a certain character you won’t find anywhere else. Every phone takes similar photos these days, and it’s these color profiles that matter the most.
Still, if you’re not a fan of poking around with the cameras, the default Leica Authentic profile produces colors that are very close to natural, with highlights and shadows handled extremely well. The details are crisp and plenty, the HDR performance is mostly spot on, and the contrast is slightly on the boosted side, which is what I like. Beyond the default camera profile, there are a myriad of filters, such as Negative, Positive, Sepia, Natural, Vibrant, and Blue. Each has a different style of capturing the colors and subject, and I really did find myself going through each and every one of them to decide which actually serves the scene the best. And the results speak for themselves. Every photo tells a different story, and that’s the Xiaomi 17’s biggest strength.
The telephoto lens is 2.5x, and I’d say the same about it, too. It serves as the main portrait camera, and the images deliver stellar detail, with excellent foreground separation and improved natural skin tones without the infamous beautification. Xiaomi doesn’t rely much on AI processing, so zooming past 5x-6x will result in blurry photos. Keep that in mind. The ultrawide hasn’t changed from the previous generation, so it still doesn’t have autofocus for macro photography. While it works great when the light is ample, I saw a significant drop in quality at night.
Speaking of the night, both the main and telephoto sensors benefit from Xiaomi’s mature image processing, which retains detail in shadows without making the image muddy or introducing noise. Videos, which can be shot at up to 8K, carry similar details in all lighting conditions, and I’m a fan. Sadly, it’s not all perfect. In Thailand’s heat, some of the videos I captured were choppy, even when I was in the hotel. This problem then carried over to India, where the first few seconds of every video would stutter. I’ve communicated this issue with the Xiaomi team, so a fix could be imminent. Overall, I love the Xiaomi 17’s cameras.
Verdict
Sure, the ₹89,999 price tag of the Xiaomi 17 might feel a bit much, considering it’s more than the vivo and OPPO competition. But the Xiaomi 17 brings a lot of things to the table. You get the best-in-class performance that’s miles ahead of the competition. A design that’s understated yet premium. Battery life that can easily last two full days, and cameras that, instead of being same same but different, induce a character to each and every photo that makes them more memorable. Of course, it’s not perfect. I’d like the camera bugs fixed and ultrawide performance improved, but overall, the Xiaomi 17 gets my recommendation.
If Apple were ever going to make an Android phone, then they’d probably design something like the Xiaomi 17. I wouldn’t describe the build as flashy, but it’s super elegant and reminiscent of past Xiaomi flagships. I talked about this in my X300 Pro review, as creating a brand identity to compete against Samsung and Apple is super important, and Xiaomi has listened. While I was using it daily, many of my friends and family asked me what Xiaomi phone I was using—note the wording: “Xiaomi phone,” meaning they knew it was a particular brand, and that’s important. The Chinese smartphone maker said they thought of every curve, and I’ll just say it straight: the 17 is the best-feeling compact phone I’ve held this year.
The corners are crafted to perfection, the width is spot on, and even the way the aluminum frame blends into the glass without an abrupt edge makes carrying the phone a very enjoyable experience. Beyond that, the back glass is frosted to prevent the phone from slipping off glass surfaces, and the side frame doesn’t let go of its color inside a case.
Speaking of color, you get plenty of options, but my favorite is definitely the blue variant, as it has that breezy summer vibe. The buttons are tactile and positioned where your hand would naturally rest.
Moving to the camera module, Xiaomi has taken the iPhone route of individual stove-top camera cutouts. There are four of them (one houses the flash), and aside from the fact that dust is difficult to get out from between, I do quite like them. The ultrasonic fingerprint scanner is positioned at a comfy place where your thumb would naturally rest. I used it on the beach with wet hands, and it worked perfectly fine. Besides, the phone is IP69-rated for dust and water resistance, meaning it should technically withstand a swim. Did I dare take it inside the water on the beach? Absolutely not, because the IP rating is only for fresh water, and seawater can cause irreversible damage.
Display
I’ve said this before that all flagship displays are essentially the same, and that holds true for the Xiaomi 17, too. The phone features a 6.3-inch 1220 x 2656 OLED display, with an adaptive 120Hz refresh rate. This time, Xiaomi has trimmed the bezels even more for a more premium look, and I’m a fan. The panel is exceptionally color-accurate and vibrant for content consumption, as evidenced by my 3-hour run of The Pitt season 2 on the flight to Thailand. Even the HDR performance is exceptional.
Xiaomi claims a peak brightness number of 3,500 nits. Sadly, I don’t have a light meter to put the claim to the test, but from my experience using the panel in the 12 noon sun at Phi Phi Island, it’s plenty bright for outdoor use. The texts were legible, and I could use the phone for GPS navigation without squinting.
When it comes to durability, I usually don’t like to test that part myself and instead rely on user reports. However, I accidentally dropped the Xiaomi 17 on a concrete floor. The result was surprisingly good. I dropped it, without a case, from a tripod at chest height, meaning that, while the phone was in the air, all sorts of scary thoughts came to mind, including how much this repair was going to cost me. Thankfully, the phone escaped with only minor damage to the frame.
Performance & Software
Performance is what makes or breaks the smartphone experience, and it’s no surprise to anyone that the Xiaomi 17 delivers top-of-the-line performance. The Snapdragon 8 Elite Gen 5 is the best Android processor in the market, and it’s coupled with 12GB of LPDDR5X RAM and up to 512GB of UFS 4.1 internal storage. The results? The Xiaomi 17 is an absolute joy to use. It flies through the UI like nothing, and there’s ample headroom for literally any task. That being said, the phone runs on HyperOS 3, which, for the uninitiated, is a very altered version of Android that resembles more like iOS.
I don’t have a problem with the look, especially since HyperOS is one of the smoothest Android skins, with silky animations and a lot of customization. My issue is that, unlike other Chinese skins that allow you to tone down the iOS-ness, Xiaomi doesn’t.
For example, the notification shade is divided into two sections: the quick control and the panel. I don’t like that, but when I went digging in the settings to find a way to merge them, there wasn’t. Also, the back gesture is enabled in the keyboard, so when I tried deleting long text, it would often send me back instead.
There are a few silver linings I wish others would copy from HyperOS, one major one being the lockscreen customizations. There are so many options, and every one of them looks gorgeous. As this is 2026, there’s a host of AI features, such as object eraser, image upscaling, and inpainting. I tried them all, and they work exactly as you’d expect. The company also promises about six years of major software updates and security patches. This is better than vivo’s five years.
Benchmarks & Gaming
As this is a review, I also ran a series of benchmarks to test the Snapdragon 8 Elite Gen 5’s limits. The phone scored 3,415 in Geekbench’s single-core test and 10,008 in the multi-core test. These are insane numbers, especially when compared with the likes of the vivo X300 Pro and the Find X9, which score about 20%-30% lower in multi-core tests. The story remained similar on AnTuTu, where the Xiaomi 17 handsomely beat its Chinese rivals, scoring 3,423,349.
As expected, this performance translates extremely well in gaming. I’m a former PUBG (BGMI) eSports player, and my results were exceptional. The phone maintained 120 FPS gameplay even at high settings without a hint of stutter. I also like Xiaomi’s thermal management, which kept the phone from overheating during both gaming and photo capture in Thailand’s hot summer.
Battery Life & Charging
After all the chatter about the small form factor, you may expect the Xiaomi 17 to compromise on the battery life, just as other Apple and Samsung phones do. Well, you can’t be more wrong, as the Xiaomi 17 packs an even bigger battery, 6,330mAh to be precise, than the 17 Ultra. And the results are just fantastic. On the morning of my Thailand flight, I unplugged the phone at 5 am. I then continued using the phone for the rest of the day, including the three hours of The Pitt on the flight and map navigation when reaching Phuket airport. I ended the day with 20% remaining, and at 3 am the next morning, I had 20% remaining. For a more typical person, you’d be looking more at two days of usage without a hitch.
When it was finally time to charge, Xiaomi, unlike Samsung, bundles a 100W fast charger in the box that charges the phone from 20% to 80% in just 30 minutes. You also get 50W of reverse wireless charging, though that requires a specific charger.
Cameras
If a phone doesn’t fold in half or has dual screens, the only way to differentiate itself is through the cameras. They are the main reason why people lean towards a certain brand, and recently, both OPPO and vivo have been killing it. However, I think there’s room for a third king: the Xiaomi 17. Like others, it also houses a triple-sensor array, led by the 50MP LightFusion 950 sensor, a 50MP JN1 60mm telephoto, and another 50MP OV50M ultrawide lens. Colors are handled by Leica, and that’s the main strength of the Xiaomi 17. The photos it takes, with the different Leica filters, have a certain character you won’t find anywhere else. Every phone takes similar photos these days, and it’s these color profiles that matter the most.
Still, if you’re not a fan of poking around with the cameras, the default Leica Authentic profile produces colors that are very close to natural, with highlights and shadows handled extremely well. The details are crisp and plenty, the HDR performance is mostly spot on, and the contrast is slightly on the boosted side, which is what I like. Beyond the default camera profile, there are a myriad of filters, such as Negative, Positive, Sepia, Natural, Vibrant, and Blue. Each has a different style of capturing the colors and subject, and I really did find myself going through each and every one of them to decide which actually serves the scene the best. And the results speak for themselves. Every photo tells a different story, and that’s the Xiaomi 17’s biggest strength.
The telephoto lens is 2.5x, and I’d say the same about it, too. It serves as the main portrait camera, and the images deliver stellar detail, with excellent foreground separation and improved natural skin tones without the infamous beautification. Xiaomi doesn’t rely much on AI processing, so zooming past 5x-6x will result in blurry photos. Keep that in mind. The ultrawide hasn’t changed from the previous generation, so it still doesn’t have autofocus for macro photography. While it works great when the light is ample, I saw a significant drop in quality at night.
Speaking of the night, both the main and telephoto sensors benefit from Xiaomi’s mature image processing, which retains detail in shadows without making the image muddy or introducing noise. Videos, which can be shot at up to 8K, carry similar details in all lighting conditions, and I’m a fan. Sadly, it’s not all perfect. In Thailand’s heat, some of the videos I captured were choppy, even when I was in the hotel. This problem then carried over to India, where the first few seconds of every video would stutter. I’ve communicated this issue with the Xiaomi team, so a fix could be imminent. Overall, I love the Xiaomi 17’s cameras.
Verdict
Sure, the ₹89,999 price tag of the Xiaomi 17 might feel a bit much, considering it’s more than the vivo and OPPO competition. But the Xiaomi 17 brings a lot of things to the table. You get the best-in-class performance that’s miles ahead of the competition. A design that’s understated yet premium. Battery life that can easily last two full days, and cameras that, instead of being same same but different, induce a character to each and every photo that makes them more memorable. Of course, it’s not perfect. I’d like the camera bugs fixed and ultrawide performance improved, but overall, the Xiaomi 17 gets my recommendation.
#Xiaomi #Review #Thailand #Real #Camera #TestXiaomi">Xiaomi 17 Review: I Took It to Thailand for a Real Camera Test
Xiaomi phones are a little tough to judge. After all, these guys do everything, from making phones to laptops and sometimes even record-breaking electric SUVs. The Xiaomi 17 is a bit like the quiet kid that never gets noticed, simply because its bigger brother, the 17 Ultra, is on a streak of collecting all the best smartphone camera awards. But here’s the thing: most people won’t ever splurge that much money on a non-Samsung or Apple Ultra flagship. The main sales driver will always be the base model, and that’s the question I had in mind. Can the Xiaomi 17 go head-to-head with the OPPO Find X9 and the vivo X300, especially since it’s more expensive than both? You can thank AI for that.
To answer this very question, I got the Xiaomi 17 for review and took it with me on a work trip to Phuket, Thailand. Here, I used the phone to capture about 500 photos in the summer heat, with temperatures soaring to 40 degrees, and constant GPS navigation to put the Snapdragon 8 Elite Gen 5 SoC through its paces. Spoiler alert, I really do love this phone, but there are a few quirks, too. Here’s why.
Xiaomi 17 Review
Hisan Kidwai
Summary
The Xiaomi 17 brings a lot of things to the table. You get the best-in-class performance that’s miles ahead of the competition. A design that’s understated yet premium. Battery life that can easily last two full days, and cameras that, instead of being same same but different, induce a character to each and every photo that makes them more memorable. Of course, it’s not perfect. I’d like the camera bugs fixed and ultrawide performance improved, but overall, the Xiaomi 17 gets my recommendation.
Design & Hardware
If Apple were ever going to make an Android phone, then they’d probably design something like the Xiaomi 17. I wouldn’t describe the build as flashy, but it’s super elegant and reminiscent of past Xiaomi flagships. I talked about this in my X300 Pro review, as creating a brand identity to compete against Samsung and Apple is super important, and Xiaomi has listened. While I was using it daily, many of my friends and family asked me what Xiaomi phone I was using—note the wording: “Xiaomi phone,” meaning they knew it was a particular brand, and that’s important. The Chinese smartphone maker said they thought of every curve, and I’ll just say it straight: the 17 is the best-feeling compact phone I’ve held this year.
The corners are crafted to perfection, the width is spot on, and even the way the aluminum frame blends into the glass without an abrupt edge makes carrying the phone a very enjoyable experience. Beyond that, the back glass is frosted to prevent the phone from slipping off glass surfaces, and the side frame doesn’t let go of its color inside a case.
Speaking of color, you get plenty of options, but my favorite is definitely the blue variant, as it has that breezy summer vibe. The buttons are tactile and positioned where your hand would naturally rest.
Moving to the camera module, Xiaomi has taken the iPhone route of individual stove-top camera cutouts. There are four of them (one houses the flash), and aside from the fact that dust is difficult to get out from between, I do quite like them. The ultrasonic fingerprint scanner is positioned at a comfy place where your thumb would naturally rest. I used it on the beach with wet hands, and it worked perfectly fine. Besides, the phone is IP69-rated for dust and water resistance, meaning it should technically withstand a swim. Did I dare take it inside the water on the beach? Absolutely not, because the IP rating is only for fresh water, and seawater can cause irreversible damage.
Display
I’ve said this before that all flagship displays are essentially the same, and that holds true for the Xiaomi 17, too. The phone features a 6.3-inch 1220 x 2656 OLED display, with an adaptive 120Hz refresh rate. This time, Xiaomi has trimmed the bezels even more for a more premium look, and I’m a fan. The panel is exceptionally color-accurate and vibrant for content consumption, as evidenced by my 3-hour run of The Pitt season 2 on the flight to Thailand. Even the HDR performance is exceptional.
Xiaomi claims a peak brightness number of 3,500 nits. Sadly, I don’t have a light meter to put the claim to the test, but from my experience using the panel in the 12 noon sun at Phi Phi Island, it’s plenty bright for outdoor use. The texts were legible, and I could use the phone for GPS navigation without squinting.
When it comes to durability, I usually don’t like to test that part myself and instead rely on user reports. However, I accidentally dropped the Xiaomi 17 on a concrete floor. The result was surprisingly good. I dropped it, without a case, from a tripod at chest height, meaning that, while the phone was in the air, all sorts of scary thoughts came to mind, including how much this repair was going to cost me. Thankfully, the phone escaped with only minor damage to the frame.
Performance & Software
Performance is what makes or breaks the smartphone experience, and it’s no surprise to anyone that the Xiaomi 17 delivers top-of-the-line performance. The Snapdragon 8 Elite Gen 5 is the best Android processor in the market, and it’s coupled with 12GB of LPDDR5X RAM and up to 512GB of UFS 4.1 internal storage. The results? The Xiaomi 17 is an absolute joy to use. It flies through the UI like nothing, and there’s ample headroom for literally any task. That being said, the phone runs on HyperOS 3, which, for the uninitiated, is a very altered version of Android that resembles more like iOS.
I don’t have a problem with the look, especially since HyperOS is one of the smoothest Android skins, with silky animations and a lot of customization. My issue is that, unlike other Chinese skins that allow you to tone down the iOS-ness, Xiaomi doesn’t.
For example, the notification shade is divided into two sections: the quick control and the panel. I don’t like that, but when I went digging in the settings to find a way to merge them, there wasn’t. Also, the back gesture is enabled in the keyboard, so when I tried deleting long text, it would often send me back instead.
There are a few silver linings I wish others would copy from HyperOS, one major one being the lockscreen customizations. There are so many options, and every one of them looks gorgeous. As this is 2026, there’s a host of AI features, such as object eraser, image upscaling, and inpainting. I tried them all, and they work exactly as you’d expect. The company also promises about six years of major software updates and security patches. This is better than vivo’s five years.
Benchmarks & Gaming
As this is a review, I also ran a series of benchmarks to test the Snapdragon 8 Elite Gen 5’s limits. The phone scored 3,415 in Geekbench’s single-core test and 10,008 in the multi-core test. These are insane numbers, especially when compared with the likes of the vivo X300 Pro and the Find X9, which score about 20%-30% lower in multi-core tests. The story remained similar on AnTuTu, where the Xiaomi 17 handsomely beat its Chinese rivals, scoring 3,423,349.
As expected, this performance translates extremely well in gaming. I’m a former PUBG (BGMI) eSports player, and my results were exceptional. The phone maintained 120 FPS gameplay even at high settings without a hint of stutter. I also like Xiaomi’s thermal management, which kept the phone from overheating during both gaming and photo capture in Thailand’s hot summer.
Battery Life & Charging
After all the chatter about the small form factor, you may expect the Xiaomi 17 to compromise on the battery life, just as other Apple and Samsung phones do. Well, you can’t be more wrong, as the Xiaomi 17 packs an even bigger battery, 6,330mAh to be precise, than the 17 Ultra. And the results are just fantastic. On the morning of my Thailand flight, I unplugged the phone at 5 am. I then continued using the phone for the rest of the day, including the three hours of The Pitt on the flight and map navigation when reaching Phuket airport. I ended the day with 20% remaining, and at 3 am the next morning, I had 20% remaining. For a more typical person, you’d be looking more at two days of usage without a hitch.
When it was finally time to charge, Xiaomi, unlike Samsung, bundles a 100W fast charger in the box that charges the phone from 20% to 80% in just 30 minutes. You also get 50W of reverse wireless charging, though that requires a specific charger.
Cameras
If a phone doesn’t fold in half or has dual screens, the only way to differentiate itself is through the cameras. They are the main reason why people lean towards a certain brand, and recently, both OPPO and vivo have been killing it. However, I think there’s room for a third king: the Xiaomi 17. Like others, it also houses a triple-sensor array, led by the 50MP LightFusion 950 sensor, a 50MP JN1 60mm telephoto, and another 50MP OV50M ultrawide lens. Colors are handled by Leica, and that’s the main strength of the Xiaomi 17. The photos it takes, with the different Leica filters, have a certain character you won’t find anywhere else. Every phone takes similar photos these days, and it’s these color profiles that matter the most.
Still, if you’re not a fan of poking around with the cameras, the default Leica Authentic profile produces colors that are very close to natural, with highlights and shadows handled extremely well. The details are crisp and plenty, the HDR performance is mostly spot on, and the contrast is slightly on the boosted side, which is what I like. Beyond the default camera profile, there are a myriad of filters, such as Negative, Positive, Sepia, Natural, Vibrant, and Blue. Each has a different style of capturing the colors and subject, and I really did find myself going through each and every one of them to decide which actually serves the scene the best. And the results speak for themselves. Every photo tells a different story, and that’s the Xiaomi 17’s biggest strength.
The telephoto lens is 2.5x, and I’d say the same about it, too. It serves as the main portrait camera, and the images deliver stellar detail, with excellent foreground separation and improved natural skin tones without the infamous beautification. Xiaomi doesn’t rely much on AI processing, so zooming past 5x-6x will result in blurry photos. Keep that in mind. The ultrawide hasn’t changed from the previous generation, so it still doesn’t have autofocus for macro photography. While it works great when the light is ample, I saw a significant drop in quality at night.
Speaking of the night, both the main and telephoto sensors benefit from Xiaomi’s mature image processing, which retains detail in shadows without making the image muddy or introducing noise. Videos, which can be shot at up to 8K, carry similar details in all lighting conditions, and I’m a fan. Sadly, it’s not all perfect. In Thailand’s heat, some of the videos I captured were choppy, even when I was in the hotel. This problem then carried over to India, where the first few seconds of every video would stutter. I’ve communicated this issue with the Xiaomi team, so a fix could be imminent. Overall, I love the Xiaomi 17’s cameras.
Verdict
Sure, the ₹89,999 price tag of the Xiaomi 17 might feel a bit much, considering it’s more than the vivo and OPPO competition. But the Xiaomi 17 brings a lot of things to the table. You get the best-in-class performance that’s miles ahead of the competition. A design that’s understated yet premium. Battery life that can easily last two full days, and cameras that, instead of being same same but different, induce a character to each and every photo that makes them more memorable. Of course, it’s not perfect. I’d like the camera bugs fixed and ultrawide performance improved, but overall, the Xiaomi 17 gets my recommendation.
Magic: The Gathering will continue expanding this year—both for fans of its crossover sets, and those all in on the primary game.
At Friday’s Magic Con, Wizards of the Coast announced several new sets, with the main course being Reality Fracture. Releasing in October, the set will wrap up the game’s current arc wherein Planeswalker Jace has created an alternate universe so he can undo damage previously caused by the Phyrexians and Eldrazi. The Echoverse introduces new versions of popular Magic characters, like Chandra having ice magic rather than her usual fire.
Fracture’s creative and narrative lead Meris Mullaley told Polygon the new versions of Chandra and other mainstays like Ajani and Garruk are born from Jace’s goal to make “the perfect multiverse, [which] comes with some of his own biases. Chandra’s impulsiveness was something he bumped up against a lot. Where did that come from, what in her life shaped her to be that way? As Jace is crafting his multiverse, he’s like, ‘What if her dad didn’t die? What if he and Chandra were helping run Avishkar?’”
On the crossover front, Wizards is going back to Middle-earth with a Hobbit set for Magic: The Gathering. Following the Lord of the Rings set from 2023, the characters and locations of J.R.R. Tolkien’s prequel will get their own cards, with legacy characters like Gandalf and Bilbo receiving updates. If that weren’t enough, some cards have artwork similar to book covers, and others are done in the dwarven language.
Wizards of the Coast will bring The Hobbit to Magic: The Gathering on August 14, and Reality Fracture will hit stores on October 2. You can read about Wizards’ upcoming, fully new game Mood Swingshere.
Magic: The Gathering will continue expanding this year—both for fans of its crossover sets, and those all in on the primary game.
At Friday’s Magic Con, Wizards of the Coast announced several new sets, with the main course being Reality Fracture. Releasing in October, the set will wrap up the game’s current arc wherein Planeswalker Jace has created an alternate universe so he can undo damage previously caused by the Phyrexians and Eldrazi. The Echoverse introduces new versions of popular Magic characters, like Chandra having ice magic rather than her usual fire.
Fracture’s creative and narrative lead Meris Mullaley told Polygon the new versions of Chandra and other mainstays like Ajani and Garruk are born from Jace’s goal to make “the perfect multiverse, [which] comes with some of his own biases. Chandra’s impulsiveness was something he bumped up against a lot. Where did that come from, what in her life shaped her to be that way? As Jace is crafting his multiverse, he’s like, ‘What if her dad didn’t die? What if he and Chandra were helping run Avishkar?’”
On the crossover front, Wizards is going back to Middle-earth with a Hobbit set for Magic: The Gathering. Following the Lord of the Rings set from 2023, the characters and locations of J.R.R. Tolkien’s prequel will get their own cards, with legacy characters like Gandalf and Bilbo receiving updates. If that weren’t enough, some cards have artwork similar to book covers, and others are done in the dwarven language.
Wizards of the Coast will bring The Hobbit to Magic: The Gathering on August 14, and Reality Fracture will hit stores on October 2. You can read about Wizards’ upcoming, fully new game Mood Swingshere.
#Big #Magic #Gathering #Set #Multiverse #AdventureMagic: The Gathering,The Hobbit,Wizards of the Coast">The Next Big ‘Magic: The Gathering’ Set Is a Multiverse Adventure
Magic: The Gathering will continue expanding this year—both for fans of its crossover sets, and those all in on the primary game.
At Friday’s Magic Con, Wizards of the Coast announced several new sets, with the main course being Reality Fracture. Releasing in October, the set will wrap up the game’s current arc wherein Planeswalker Jace has created an alternate universe so he can undo damage previously caused by the Phyrexians and Eldrazi. The Echoverse introduces new versions of popular Magic characters, like Chandra having ice magic rather than her usual fire.
Fracture’s creative and narrative lead Meris Mullaley told Polygon the new versions of Chandra and other mainstays like Ajani and Garruk are born from Jace’s goal to make “the perfect multiverse, [which] comes with some of his own biases. Chandra’s impulsiveness was something he bumped up against a lot. Where did that come from, what in her life shaped her to be that way? As Jace is crafting his multiverse, he’s like, ‘What if her dad didn’t die? What if he and Chandra were helping run Avishkar?’”
On the crossover front, Wizards is going back to Middle-earth with a Hobbit set for Magic: The Gathering. Following the Lord of the Rings set from 2023, the characters and locations of J.R.R. Tolkien’s prequel will get their own cards, with legacy characters like Gandalf and Bilbo receiving updates. If that weren’t enough, some cards have artwork similar to book covers, and others are done in the dwarven language.
Wizards of the Coast will bring The Hobbit to Magic: The Gathering on August 14, and Reality Fracture will hit stores on October 2. You can read about Wizards’ upcoming, fully new game Mood Swingshere.
![In Harvard study, AI offered more accurate emergency room diagnoses than two human doctors | TechCrunch
A new study examines how large language models perform in a variety of medical contexts, including real emergency room cases — where at least one model seemed to be more accurate than human doctors.
The study was published this week in Science and comes from a research team led by physicians and computer scientists at Harvard Medical School and Beth Israel Deaconess Medical Center. The researchers said they conducted a variety of experiments to measure how OpenAI’s models compared to human physicians.
In one experiment, researchers focused on 76 patients who came into the Beth Israel emergency room, comparing the diagnoses offered by two internal medicine attending physicians to those generated by OpenAI’s o1 and 4o models. These diagnoses were assessed by two other attending physicians, who did not know which ones came from humans and which came from AI.
“At each diagnostic touchpoint, o1 either performed nominally better than or on par with the two attending physicians and 4o,” the study said, adding that the differences “were especially pronounced at the first diagnostic touchpoint (initial ER triage), where there is the least information available about the patient and the most urgency to make the correct decision.”
In Harvard Medical School’s press release about the study, the researchers emphasized that they did not “pre-process the data at all” — the AI models were presented with the same information that was available in the electronic medical records at the time of each diagnosis.
With that information, the o1 model managed to offer “the exact or very close diagnosis” in 67% of triage cases, compared to one physician who had the exact or close diagnosis 55% of the time, and to the other who hit the mark 50% of the time.
“We tested the AI model against virtually every benchmark, and it eclipsed both prior models and our physician baselines,” said Arjun Manrai, who heads an AI lab at Harvard Medical School and is one of the study’s lead authors, in the press release.
Techcrunch event
San Francisco, CA
|
October 13-15, 2026
To be clear, the study didn’t claim that AI is ready to make real life-or-death decisions in the emergency room. Instead, it said the findings show an “urgent need for prospective trials to evaluate these technologies in real-world patient care settings.”
The researchers also noted that they only studied how models performed when provided with text-based information, and that “existing studies suggest that current foundation models are more limited in reasoning over nontext inputs.”
Adam Rodman, a Beth Israel doctor who’s also one of the study’s lead authors, warned the Guardian that there’s “no formal framework right now for accountability” around AI diagnoses, and that patients still “want humans to guide them through life or death decisions [and] to guide them through challenging treatment decisions.”
In a post about the study, Kristen Panthagani, an emergency physician, said this is an “an interesting AI study that has led to some very overhyped headlines,” especially since it was comparing AI diagnoses to those from internal medicine physicians, not ER physicians.
“If we’re going to compare AI tools to physicians’ clinical ability, we should start by comparing to physicians who actually practice that specialty,” Panthagani said. “I would not be surprised if a LLM could beat a dermatologist at an neurosurgery board exam, [but] that’s not a particularly helpful thing to know.”
She also argued, “As an ER doctor seeing a patient for a first time, my primary goal is not to guess your ultimate diagnosis. My primary goal is to determine if you have a condition that could kill you.”
This post and headline have been updated to reflect the fact that the diagnoses in the study came from internal medicine attending physicians, and to include commentary from Kristen Panthagani.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Harvard #study #offered #accurate #emergency #room #diagnoses #human #doctors #TechCrunchbeth israel,harvard medical school,OpenAI](https://i2.wp.com/techcrunch.com/wp-content/uploads/2024/01/GettyImages-104509077.jpg?resize=1200%2C800&ssl=1 "In Harvard study, AI offered more accurate emergency room diagnoses than two human doctors | TechCrunch
A new study examines how large language models perform in a variety of medical contexts, including real emergency room cases — where at least one model seemed to be more accurate than human doctors.
The study was published this week in Science and comes from a research team led by physicians and computer scientists at Harvard Medical School and Beth Israel Deaconess Medical Center. The researchers said they conducted a variety of experiments to measure how OpenAI’s models compared to human physicians.
In one experiment, researchers focused on 76 patients who came into the Beth Israel emergency room, comparing the diagnoses offered by two internal medicine attending physicians to those generated by OpenAI’s o1 and 4o models. These diagnoses were assessed by two other attending physicians, who did not know which ones came from humans and which came from AI.
“At each diagnostic touchpoint, o1 either performed nominally better than or on par with the two attending physicians and 4o,” the study said, adding that the differences “were especially pronounced at the first diagnostic touchpoint (initial ER triage), where there is the least information available about the patient and the most urgency to make the correct decision.”
In Harvard Medical School’s press release about the study, the researchers emphasized that they did not “pre-process the data at all” — the AI models were presented with the same information that was available in the electronic medical records at the time of each diagnosis.
With that information, the o1 model managed to offer “the exact or very close diagnosis” in 67% of triage cases, compared to one physician who had the exact or close diagnosis 55% of the time, and to the other who hit the mark 50% of the time.
“We tested the AI model against virtually every benchmark, and it eclipsed both prior models and our physician baselines,” said Arjun Manrai, who heads an AI lab at Harvard Medical School and is one of the study’s lead authors, in the press release.
Techcrunch event
San Francisco, CA
|
October 13-15, 2026
To be clear, the study didn’t claim that AI is ready to make real life-or-death decisions in the emergency room. Instead, it said the findings show an “urgent need for prospective trials to evaluate these technologies in real-world patient care settings.”
The researchers also noted that they only studied how models performed when provided with text-based information, and that “existing studies suggest that current foundation models are more limited in reasoning over nontext inputs.”
Adam Rodman, a Beth Israel doctor who’s also one of the study’s lead authors, warned the Guardian that there’s “no formal framework right now for accountability” around AI diagnoses, and that patients still “want humans to guide them through life or death decisions [and] to guide them through challenging treatment decisions.”
In a post about the study, Kristen Panthagani, an emergency physician, said this is an “an interesting AI study that has led to some very overhyped headlines,” especially since it was comparing AI diagnoses to those from internal medicine physicians, not ER physicians.
“If we’re going to compare AI tools to physicians’ clinical ability, we should start by comparing to physicians who actually practice that specialty,” Panthagani said. “I would not be surprised if a LLM could beat a dermatologist at an neurosurgery board exam, [but] that’s not a particularly helpful thing to know.”
She also argued, “As an ER doctor seeing a patient for a first time, my primary goal is not to guess your ultimate diagnosis. My primary goal is to determine if you have a condition that could kill you.”
This post and headline have been updated to reflect the fact that the diagnoses in the study came from internal medicine attending physicians, and to include commentary from Kristen Panthagani.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Harvard #study #offered #accurate #emergency #room #diagnoses #human #doctors #TechCrunchbeth israel,harvard medical school,OpenAI")
![The Next Big ‘Magic: The Gathering’ Set Is a Multiverse Adventure
Magic: The Gathering will continue expanding this year—both for fans of its crossover sets, and those all in on the primary game. At Friday’s Magic Con, Wizards of the Coast announced several new sets, with the main course being Reality Fracture. Releasing in October, the set will wrap up the game’s current arc wherein Planeswalker Jace has created an alternate universe so he can undo damage previously caused by the Phyrexians and Eldrazi. The Echoverse introduces new versions of popular Magic characters, like Chandra having ice magic rather than her usual fire. Fracture’s creative and narrative lead Meris Mullaley told Polygon the new versions of Chandra and other mainstays like Ajani and Garruk are born from Jace’s goal to make “the perfect multiverse, [which] comes with some of his own biases. Chandra’s impulsiveness was something he bumped up against a lot. Where did that come from, what in her life shaped her to be that way? As Jace is crafting his multiverse, he’s like, ‘What if her dad didn’t die? What if he and Chandra were helping run Avishkar?’” On the crossover front, Wizards is going back to Middle-earth with a Hobbit set for Magic: The Gathering. Following the Lord of the Rings set from 2023, the characters and locations of J.R.R. Tolkien’s prequel will get their own cards, with legacy characters like Gandalf and Bilbo receiving updates. If that weren’t enough, some cards have artwork similar to book covers, and others are done in the dwarven language. Wizards of the Coast will bring The Hobbit to Magic: The Gathering on August 14, and Reality Fracture will hit stores on October 2. You can read about Wizards’ upcoming, fully new game Mood Swings here. Want more io9 news? Check out when to expect the latest Marvel, Star Wars, and Star Trek releases, what’s next for the DC Universe on film and TV, and everything you need to know about the future of Doctor Who. #Big #Magic #Gathering #Set #Multiverse #AdventureMagic: The Gathering,The Hobbit,Wizards of the Coast](https://i3.wp.com/gizmodo.com/app/uploads/2026/05/magic-gathering-reality-1280x853.jpg?ssl=1 "The Next Big ‘Magic: The Gathering’ Set Is a Multiverse Adventure
Magic: The Gathering will continue expanding this year—both for fans of its crossover sets, and those all in on the primary game. At Friday’s Magic Con, Wizards of the Coast announced several new sets, with the main course being Reality Fracture. Releasing in October, the set will wrap up the game’s current arc wherein Planeswalker Jace has created an alternate universe so he can undo damage previously caused by the Phyrexians and Eldrazi. The Echoverse introduces new versions of popular Magic characters, like Chandra having ice magic rather than her usual fire. Fracture’s creative and narrative lead Meris Mullaley told Polygon the new versions of Chandra and other mainstays like Ajani and Garruk are born from Jace’s goal to make “the perfect multiverse, [which] comes with some of his own biases. Chandra’s impulsiveness was something he bumped up against a lot. Where did that come from, what in her life shaped her to be that way? As Jace is crafting his multiverse, he’s like, ‘What if her dad didn’t die? What if he and Chandra were helping run Avishkar?’” On the crossover front, Wizards is going back to Middle-earth with a Hobbit set for Magic: The Gathering. Following the Lord of the Rings set from 2023, the characters and locations of J.R.R. Tolkien’s prequel will get their own cards, with legacy characters like Gandalf and Bilbo receiving updates. If that weren’t enough, some cards have artwork similar to book covers, and others are done in the dwarven language. Wizards of the Coast will bring The Hobbit to Magic: The Gathering on August 14, and Reality Fracture will hit stores on October 2. You can read about Wizards’ upcoming, fully new game Mood Swings here. Want more io9 news? Check out when to expect the latest Marvel, Star Wars, and Star Trek releases, what’s next for the DC Universe on film and TV, and everything you need to know about the future of Doctor Who. #Big #Magic #Gathering #Set #Multiverse #AdventureMagic: The Gathering,The Hobbit,Wizards of the Coast")
![The Next Big ‘Magic: The Gathering’ Set Is a Multiverse Adventure
Magic: The Gathering will continue expanding this year—both for fans of its crossover sets, and those all in on the primary game. At Friday’s Magic Con, Wizards of the Coast announced several new sets, with the main course being Reality Fracture. Releasing in October, the set will wrap up the game’s current arc wherein Planeswalker Jace has created an alternate universe so he can undo damage previously caused by the Phyrexians and Eldrazi. The Echoverse introduces new versions of popular Magic characters, like Chandra having ice magic rather than her usual fire. Fracture’s creative and narrative lead Meris Mullaley told Polygon the new versions of Chandra and other mainstays like Ajani and Garruk are born from Jace’s goal to make “the perfect multiverse, [which] comes with some of his own biases. Chandra’s impulsiveness was something he bumped up against a lot. Where did that come from, what in her life shaped her to be that way? As Jace is crafting his multiverse, he’s like, ‘What if her dad didn’t die? What if he and Chandra were helping run Avishkar?’” On the crossover front, Wizards is going back to Middle-earth with a Hobbit set for Magic: The Gathering. Following the Lord of the Rings set from 2023, the characters and locations of J.R.R. Tolkien’s prequel will get their own cards, with legacy characters like Gandalf and Bilbo receiving updates. If that weren’t enough, some cards have artwork similar to book covers, and others are done in the dwarven language. Wizards of the Coast will bring The Hobbit to Magic: The Gathering on August 14, and Reality Fracture will hit stores on October 2. You can read about Wizards’ upcoming, fully new game Mood Swings here. Want more io9 news? Check out when to expect the latest Marvel, Star Wars, and Star Trek releases, what’s next for the DC Universe on film and TV, and everything you need to know about the future of Doctor Who. #Big #Magic #Gathering #Set #Multiverse #AdventureMagic: The Gathering,The Hobbit,Wizards of the Coast](https://gizmodo.com/app/uploads/2026/05/magic-gathering-reality-1280x853.jpg "The Next Big ‘Magic: The Gathering’ Set Is a Multiverse Adventure
Magic: The Gathering will continue expanding this year—both for fans of its crossover sets, and those all in on the primary game. At Friday’s Magic Con, Wizards of the Coast announced several new sets, with the main course being Reality Fracture. Releasing in October, the set will wrap up the game’s current arc wherein Planeswalker Jace has created an alternate universe so he can undo damage previously caused by the Phyrexians and Eldrazi. The Echoverse introduces new versions of popular Magic characters, like Chandra having ice magic rather than her usual fire. Fracture’s creative and narrative lead Meris Mullaley told Polygon the new versions of Chandra and other mainstays like Ajani and Garruk are born from Jace’s goal to make “the perfect multiverse, [which] comes with some of his own biases. Chandra’s impulsiveness was something he bumped up against a lot. Where did that come from, what in her life shaped her to be that way? As Jace is crafting his multiverse, he’s like, ‘What if her dad didn’t die? What if he and Chandra were helping run Avishkar?’” On the crossover front, Wizards is going back to Middle-earth with a Hobbit set for Magic: The Gathering. Following the Lord of the Rings set from 2023, the characters and locations of J.R.R. Tolkien’s prequel will get their own cards, with legacy characters like Gandalf and Bilbo receiving updates. If that weren’t enough, some cards have artwork similar to book covers, and others are done in the dwarven language. Wizards of the Coast will bring The Hobbit to Magic: The Gathering on August 14, and Reality Fracture will hit stores on October 2. You can read about Wizards’ upcoming, fully new game Mood Swings here. Want more io9 news? Check out when to expect the latest Marvel, Star Wars, and Star Trek releases, what’s next for the DC Universe on film and TV, and everything you need to know about the future of Doctor Who. #Big #Magic #Gathering #Set #Multiverse #AdventureMagic: The Gathering,The Hobbit,Wizards of the Coast")
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