Soma Developers Announce Ontos, A 2026 Sci-Fi Thriller

Soma Developers Announce Ontos, A 2026 Sci-Fi Thriller

The makers of horror stories like Soma and Amnesia are back with a spiritual successor to the former. Ontos is a new sci-fi thriller that looks to push your mind, and possibly your limits for scares, sometime in 2026. Ontos' first trailer premiered at tonight's Game Awards 2025, and certainly looks and sounds like 2015's Soma. There are many creepy sci-fi chills and bits of body horror awaiting. In Ontos, players will take on the role of Aditi Amani, an engineer exploring the moon hotel Samsara for the truth about her father. They'll have to figure out how to get around in this strange and scary environment, as Frictional says there's no singular solution to obstacles in Ontos; players will have to find their own way, and face the consequences of their actions. Keen-eared listeners may notice a familiar voice, too. Stellan Skarsgård will be playing a role in this new story for Frictional, though to what extent is still unclear. Frictional also confirms Ontos is using a new, proprietary HPL4 engine. Ontos will look to launch on Xbox, PlayStation 5, and PC sometime in 2026.

Every Winner At The Game Awards 2025 So Far - Updated Live

Every Winner At The Game Awards 2025 So Far - Updated Live

2025 has been a big year for video games, and the Game Awards aims to concentrate all the successes and enthusiasm into one night of celebration. With musical performances, celebrity guests (Geoff Keighley booked two Muppets this year), and dozens of new game trailers and reveals, it's undeniably one of the biggest industry events of the year. Whether you tuned in late, missed one of the winners, or chose not to watch at all, this round-up will recap every award. The coveted game of the year trophy will be doled out at the end of the night, but until then, you can continue to check this article, which will be updated live , to see each winner as it's announced. Here is the full list of nominees ( with announced winners in bold ): Game of the Year Clair Obscur: Expedition 33 Death Stranding 2: On the Beach Donkey Kong Bananza Hades II Hollow Knight: Silksong Kingdom Come: Deliverance II Best Game Direction Clair Obscur: Expedition 33 Death Stranding 2: On the Beach Ghost of Yōtei Hades II Split Fiction Best Narrative Clair Obscur: Expedition 33 Death Stranding 2: On the Beach Ghost of Yōtei Kingdom Come: Deliverance II Silent Hill f Best Art Direction Clair Obscur: Expedition 33 Death Stranding 2: On the Beach Ghost of Yōtei Hades II Hollow Knight: Silksong Best Score & Music Christopher Larkin - Hollow Knight: Silksong Darren Korb - Hades II Lorien Testard - Clair Obscur: Expédition 33 Toma Otowa - Ghost of Yōtei Woodkid & Ludvig Forssell - Death Stranding 2: On the Beach Best Audio Design Battlefield 6 Clair Obscur: Expedition 33 Death Stranding 2: On the Beach Ghost of Yōtei Silent Hill f Best Performance Ben Starr as Verso - Clair Obscur: Expedition 33 Charlie Cox as Gustave - Clair Obscur: Expedition 33 Erika Ishii as Atsu - Ghost of Yōtei Jennifer English as Maelle - Clair Obscur: Expedition 33 Konatsu Kato as Shimizu Hinako - Silent Hill f Troy Baker as Indiana Jones - Indiana Jones and the Great Circle Best Independent Game Absolum Ball x Pit Blue Prince Clair Obscur: Expedition 33 Hades II Hollow Knight: Silksong Best Debut Indie Game Blue Prince Clair Obscur: Expedition 33 Despelote Dispatch Games For Impact Consume Me Despelote Lost Records: Blooom & Rage South of Midnight Wanderstop Best Action Game Battlefield 6 Doom: The Dark Ages Hades II Ninja Gaiden 4 Shinobi: Art of Vengeance Best Action/Adventure Game Death Stranding 2: On the Beach Ghost of Yōtei Hollow Knight: Silksong Indiana Jones and the Great Circle Split Fiction Best Role-Playing Game Avowed Clair Obscur: Expedition 33 Kingdom Come: Deliverance II Monster Hunter Wilds The Outer Worlds 2 Best Sim/Strategy Game The Alters Final Fantasy Tactics – The Ivalice Chronicles Jurassic World Evolution 3 Sid Meier’s Civilization VII Tempest Rising Two Point Museum Best Fighting Game 2XKO Capcom Fighting Collection 2 Fatal Fury: City of the Wolves Mortal Kombat Legacy Kollection Virtua Fighter 5 R.E.V.O. World Stage Best Family Game Donkey Kong Bananza - WINNER Lego Party! Lego Voyagers Mario Kart World Sonic Racing: CrossWorlds Split Fiction Best Sports/Racing Game EA Sports FC 26 F1 25 Mario Kart World Rematch Sonic Racing: CrossWorlds Best Multiplayer ARC Raiders Battlefield 6 Elden Ring Nightreign Peak Split Fiction Best Ongoing Game Final Fantasy XIV Fortnite Helldivers 2 Marvel Rivals No Man’s Sky Best Community Support Baldur’s Gate 3 Final Fantasy XIV Fortnite Helldivers 2 No Man’s Sky Best VR/AR Game Alien: Rogue Incursion Arken Age Ghost Town Marvel’s Deadpool VR The Midnight Walk Best Mobile Game Destiny Rising Persona 5: The Phantom X Sonic Rumble Umamusume Pretty Derby Wuthering Waves Innovation in Accessibility Assassin’s Creed Shadows Atomfall Doom: The Dark Ages EA Sports FC 25 South of Midnight Best Adaptation A Minecraft Movie Devil May Cry Splinter Cell: Deathwatch The Last of Us Season 2 Until Dawn Best Esports Game Counter-Strike 2 Dota 2 League of Legends Mobile Legends: Bang Bang Valorant Best Esports Athlete Brawk Chovy Forsaken Kakeru Menard Zywoo Best Esports Team Gen.G (League of Legends) NRG (Valorant) Team Falcons (Dota 2) Team Liquid PH (Mobile Legends: Bang Bang) Team Vitality (Counter-Strike 2) Content Creator of the Year Caedrel Kai Cenat MoistCr1TiKaL Sakura Miko The Burnt Peanut Most Anticipated Game 007 First Light Grand Theft Auto VI Marvel’s Wolverine Resident Evil Requiem The Witcher IV

Every Winner At The Game Awards 2025 – The Complete List

Every Winner At The Game Awards 2025 – The Complete List

Update 12/11/2025 11 PM ET: The awards show has concluded, so the list of winners is now complete. Surprising few, Clair Obscur: Expedition 33 won many awards, including Game of the Year. In fact, with nine wins, it has become the most awarded game in the ceremony's history. The original article, along with the list of winners, continues below. 2025 has been a big year for video games, and the Game Awards aims to concentrate all the successes and enthusiasm into one night of celebration. With musical performances, celebrity guests (Geoff Keighley booked two Muppets this year), and dozens of new game trailers and reveals, it's undeniably one of the biggest industry events of the year. Whether you tuned in late, missed one of the winners, or chose not to watch at all, this round-up will recap every award. The coveted game of the year trophy will be doled out at the end of the night, but until then, you can continue to check this article, which will be updated live , to see each winner as it's announced. Here is the full list of nominees ( with announced winners in bold ): Game of the Year Clair Obscur: Expedition 33 – WINNER Death Stranding 2: On the Beach Donkey Kong Bananza Hades II Hollow Knight: Silksong Kingdom Come: Deliverance II Best Game Direction Clair Obscur: Expedition 33 – WINNER Death Stranding 2: On the Beach Ghost of Yōtei Hades II Split Fiction Best Narrative Clair Obscur: Expedition 33 – WINNER Death Stranding 2: On the Beach Ghost of Yōtei Kingdom Come: Deliverance II Silent Hill f Best Art Direction Clair Obscur: Expedition 33 – WINNER Death Stranding 2: On the Beach Ghost of Yōtei Hades II Hollow Knight: Silksong Best Score & Music Christopher Larkin - Hollow Knight: Silksong Darren Korb - Hades II Lorien Testard - Clair Obscur: Expédition 33 – WINNER Toma Otowa - Ghost of Yōtei Woodkid & Ludvig Forssell - Death Stranding 2: On the Beach Best Audio Design Battlefield 6 – WINNER Clair Obscur: Expedition 33 Death Stranding 2: On the Beach Ghost of Yōtei Silent Hill f Best Performance Ben Starr as Verso - Clair Obscur: Expedition 33 Charlie Cox as Gustave - Clair Obscur: Expedition 33 Erika Ishii as Atsu - Ghost of Yōtei Jennifer English as Maelle - Clair Obscur: Expedition 33 – WINNER Konatsu Kato as Shimizu Hinako - Silent Hill f Troy Baker as Indiana Jones - Indiana Jones and the Great Circle Best Independent Game Absolum Ball x Pit Blue Prince Clair Obscur: Expedition 33 – WINNER Hades II Hollow Knight: Silksong Best Debut Indie Game Blue Prince Clair Obscur: Expedition 33 – WINNER Despelote Dispatch Games For Impact Consume Me Despelote Lost Records: Blooom & Rage South of Midnight – WINNER Wanderstop Best Action Game Battlefield 6 Doom: The Dark Ages Hades II – WINNER Ninja Gaiden 4 Shinobi: Art of Vengeance Best Action/Adventure Game Death Stranding 2: On the Beach Ghost of Yōtei Hollow Knight: Silksong – WINNER Indiana Jones and the Great Circle Split Fiction Best Role-Playing Game Avowed Clair Obscur: Expedition 33 – WINNER Kingdom Come: Deliverance II Monster Hunter Wilds The Outer Worlds 2 Best Sim/Strategy Game The Alters Final Fantasy Tactics – The Ivalice Chronicles – WINNER Jurassic World Evolution 3 Sid Meier’s Civilization VII Tempest Rising Two Point Museum Best Fighting Game 2XKO Capcom Fighting Collection 2 Fatal Fury: City of the Wolves – WINNER Mortal Kombat Legacy Kollection Virtua Fighter 5 R.E.V.O. World Stage Best Family Game Donkey Kong Bananza – WINNER Lego Party! Lego Voyagers Mario Kart World Sonic Racing: CrossWorlds Split Fiction Best Sports/Racing Game EA Sports FC 26 F1 25 Mario Kart World – WINNER Rematch Sonic Racing: CrossWorlds Best Multiplayer ARC Raiders – WINNER Battlefield 6 Elden Ring Nightreign Peak Split Fiction Best Ongoing Game Final Fantasy XIV Fortnite Helldivers 2 Marvel Rivals No Man’s Sky – WINNER Best Community Support Baldur’s Gate 3 – WINNER Final Fantasy XIV Fortnite Helldivers 2 No Man’s Sky Best VR/AR Game Alien: Rogue Incursion Arken Age Ghost Town Marvel’s Deadpool VR The Midnight Walk – WINNER Best Mobile Game Destiny Rising Persona 5: The Phantom X Sonic Rumble Umamusume Pretty Derby – WINNER Wuthering Waves Innovation in Accessibility Assassin’s Creed Shadows Atomfall Doom: The Dark Ages – WINNER EA Sports FC 25 South of Midnight Best Adaptation A Minecraft Movie Devil May Cry Splinter Cell: Deathwatch The Last of Us Season 2 – WINNER Until Dawn Best Esports Game Counter-Strike 2 – WINNER Dota 2 League of Legends Mobile Legends: Bang Bang Valorant Best Esports Athlete Brawk Chovy – WINNER Forsaken Kakeru Menard Zywoo Best Esports Team Gen.G (League of Legends) NRG (Valorant) Team Falcons (Dota 2) Team Liquid PH (Mobile Legends: Bang Bang) Team Vitality (Counter-Strike 2) – WINNER Content Creator of the Year Caedrel Kai Cenat MoistCr1TiKaL – WINNER Sakura Miko The Burnt Peanut Most Anticipated Game 007 First Light Grand Theft Auto VI – WINNER Marvel’s Wolverine Resident Evil Requiem The Witcher IV Player's Voice Clair Obscur: Expedition 33 Wurthering Waves – WINNER Genshin Impact Dispatch Hollow Knight: Silksong

iOS 26 Code Leak Reveals Apple Smart Home Hub Details

iOS 26 Code Leak Reveals Apple Smart Home Hub Details

Apple is working on a smart home hub that will rely heavily on the more capable version of Siri that's coming next year. We've heard quite a bit about the hub over the last two years, but a recent iOS 26 code leak provides additional insight into what we can expect and confirms rumored features. Macworld claims to have access to an internal version of ‌iOS 26‌ that references several upcoming Apple devices, including the home hub. The site said that the code hints at these options: Camera - The device will have a camera, but it will be limited to 1080p. Face ID - The home hub will use Face ID for authentication and to identify who is in a room. Profile switching - With the ‌Face ID‌ feature, the home hub will be able to switch to the profile for the person in the home who is interacting with the device. Apple engineers are apparently using an app to test the accuracy of the system. Apple Intelligence - It will support Apple Intelligence and the new version of ‌Siri‌. Other rumors suggest that the home hub will be something of a cross between an iPad and a HomePod . It will have a square-shaped screen that's around seven inches, and an optional speaker base. We're expecting the home hub to launch right around the time that the new version of ‌Siri‌ comes out in iOS 26.4, likely March or April. Macworld also spotted signs of another device, identified as J229. This is apparently a "never-before-seen product" that has multiple sensors that can detect alarm sounds and capture images, but it is an accessory rather than a standalone device. Apple is rumored to be working on a home security camera to go along with the home hub. There's no word on when the camera could launch. Tag: Apple Command Center This article, " iOS 26 Code Leak Reveals Apple Smart Home Hub Details " first appeared on MacRumors.com Discuss this article in our forums

OpenAI Launches GPT-5.2 for ChatGPT Users a Week After Declaring 'Code Red'

OpenAI Launches GPT-5.2 for ChatGPT Users a Week After Declaring 'Code Red'

Just a month after introducing GPT 5.1, OpenAI introduced GPT-5.2 , the next-generation model that will power its popular chatbot. GPT-5.2 is OpenAI's "most capable model series yet for professional knowledge work." GPT-5.2 is designed to help people get more done quicker. It's better at creating spreadsheets, building presentations, writing code, perceiving images, understanding long context, using tools, and completing multi-step projects. The new model offers improved general intelligence, long-context understanding, agentic tool-calling, and vision, so it is ideal for real-world, professional use. GPT-5.2 Thinking hallucinates less than GPT-5.1 Thinking, and responses with errors were 30 percent less common. Long context capabilities have improved, and it is able to handle reports, contracts, papers, and multi-file projects, maintaining accuracy across hundreds of thousands of tokens. It is also better at interpreting screenshots, technical diagrams, and visual reports. OpenAI says that GPT-5.2 outperforms industry professionals at knowledge work tasks spanning 44 occupations, with the model scoring 70.9 percent on the GDPval test. GPT-5.1 scored 38.8 percent on that benchmark, and it is OpenAI's first model that performs at or above a human expert level. For ChatGPT users, GPT-5.2 will feel more structured and reliable, and it will have a warmer, more conversational tone. OpenAI says GPT-5.2 Instant is a capable workhorse for everyday work, with improvements in info-seeking questions, how tos and walkthroughs, technical writing, and translation. GPT-5.2 Thinking is meant for more complex tasks, like summarizing long documents, coding, answering questions about uploaded files, and planning decisions. GPT-5.2 Pro is ideal for difficult questions where a higher-quality answer is worth waiting for. GPT-5.2 Instant, Thinking, and Pro are rolling out today in ChatGPT to paid users. The API is available to all developers. OpenAI's next-generation model comes just a week after CEO Sam Altman declared a "code red," asking employees to focus on improving ChatGPT so it doesn't fall behind competitors like Google's Gemini and Anthropic's Claude. Tags: ChatGPT , OpenAI This article, " OpenAI Launches GPT-5.2 for ChatGPT Users a Week After Declaring 'Code Red' " first appeared on MacRumors.com Discuss this article in our forums

Review: Anker Solix C1000 Gen 2 is a Mid-Size Power Station With Fast Charging

Review: Anker Solix C1000 Gen 2 is a Mid-Size Power Station With Fast Charging

Anker is well-known for its charging accessories, including the Solix line of high-capacity power stations. Earlier this year, Anker came out with a new Solix C1000 Gen 2 Portable Power Station , which I've been testing for the last several months. The C1000 has your standard power station aesthetic, made from durable black and gray plastic. It has two handles at the sides, which makes it simple to distribute the weight across two hands, along with fan grilles and an LED display that shows the current power level and the power draw of anything that's plugged in. Rubber feet at all four corners ensure that it remains stable. There's no revolutionary design here, but the Solix C1000 looks and feels rugged. Curves at the corners make it feel a little more modern than some other power stations, and while it's not waterproof, you can get a protective carrying case that keeps it safe from moisture. It's 25 pounds, so it's probably not a battery that you're going to want to be lugging to the beach or the park, but it is good for all-day power if you're in a location where dragging around 25 pounds isn't a hassle. It isn't overly large, measuring in at 15 inches by 8.2 inches by 9.6 inches. At the front, there are five AC outlets, two 140W USB-C ports, one 15W USB-C port, and a 12W USB-A port. I appreciate that Anker is phasing out USB-A and only included a single USB-A port, because USB-A connectors are growing more uncommon. In the future, you may have no USB-A devices at all, so you won't have several wasted ports. 140W USB-C should also be good for years to come. There's a charging port at the side, a solar input port, and a 12V car port. I like the port arrangement, and was fine with all of the AC ports on the front, but spacing could be an issue if you want to plug in multiple devices with large plugs. For the AC outlet, you need to turn on AC power manually, a feature that exists to prevent battery drain when idle. This is a 1024-watt-hour battery with support for devices that draw up to 2000W, though it does support 3000W peak output. It should be able to handle almost any small appliance, including refrigerators, TVs (even large screen), heaters, portable air conditioners, lights, coffee makers, microwaves, medical devices, aquarium and animal setups, and tools that require a lot of power. I tested it up to 1500W and it worked with no issue. It uses lithium iron phosphate (LiFePO4) technology, which is what you want for a power station because LiFePO4 batteries are safe and last for more charge cycles. The C1000 is able to hold a charge in standby mode for a long time, which is great if you want to have a battery on hand for the occasional power outage. I charged it to full and left it powered off for a month, and it remained at 100 percent when I turned it back on at the end of the test. It's probably better to store it at around 80 percent capacity, but the point is you can charge it up, tuck it in a closet, and pull it out months later to use it in an emergency. The C1000's 1024 Wh capacity is enough to charge an iPhone dozens of times. Charging my iPhone 17 Pro Max from 0 to 80 dropped the battery level from 53 percent to 51 percent, which is only a two percent hit. Subsequent testing consistently used between 2 and 3 percent for ‌iPhone‌ charging. You can get fewer full MacBook charges, but it's still enough to keep multiple people up and running for a couple days. Charging my MacBook Pro from 0 to 100 percent dropped the battery from 100 to 88 percent, and charging my MacBook Air from 0 to 100 percent dropped the battery from 100 to 90 percent. It was able to run my ‌MacBook Pro‌ for a full 8-hour work day, doing day-to-day tasks like writing. I started at 76 percent and ended at 57 percent. It lasted almost 24 hours running my full Mac setup, which included my ‌MacBook Pro‌, Studio Display, three LED lights, and a phone charger. That does include around 10 hours of time where the MacBook and display were in rest mode, but it is more than capable of supporting a full work setup for a day or two. What's great about the C1000 is that it tells you exactly how long it will last based on the power draw of what's plugged in. On the LED, you'll see an estimated readout. It predicted around 14 hours of usage for my 67W ‌MacBook Air‌, which was accurate. It's not going to last super long when using high power devices like a microwave, but you often aren't using high power accessories for very long. It can run a mini heater, but those often range from 750W to 1500W, so it would last around an hour. For something like a mini fridge, though, you would be able to run it for several days. The C1000 is able to charge quickly, which has the potential to be useful when you're in a hurry. It can recharge to full in 49 minutes from a standard household plug, drawing around 1200W to do so (Anker says it can go up to 1600W, but you need to enable it). When it is under that kind of load, the fans kick on, and the fans are loud. I wouldn't be able to sleep with the fans on that high, and it's definitely a loud, irritating fan noise when going full blast. Luckily, the fans only come on at that level when it's under heavy load, and charging doesn't take too long. It also can't run high watt devices for super long, and it's much more tolerable at lower power levels. When charging small devices, it's near silent. You can connect the C1000 to a car or to solar panels to charge it up. For solar, charging times vary based on the size of the panel, the number of panels, and the available light. It can accept up to 600W through the solar input. For devices where you might like a backup feature that activates automatically in a power outage, the C1000 supports that. It has a UPS system with a sub 10ms switchover time. So if you plug something like a CPAP machine into the C1000 then plug the power station into power, the C1000 will come on right away when there's an outage. Anker has an app that connects to the C1000 over Wi-Fi or Bluetooth. You can use the app to check power level, power draw, and time remaining when a device is plugged in. You can also turn on the AC output or car charger output from the app, and fine tune controls like charging power, device timeout, charging and discharging limits, and more. It delivers new firmware too, which I struggled with. For several days, the firmware update kept failing, but it worked flawlessly later on, so I'm not sure what the issue was. Bottom Line This is a well made power station that's versatile thanks to its 1024 Wh capacity and the ability to support devices up to 2000W. It's a good home backup battery to have on hand in case of an emergency, but it also works well for camping, short trips where you need power, medical devices, and powering tools. I keep a battery like this one in two closets in my house so they're accessible, and I also like to pull out a large power stations when I need to operate a corded tool like a sander or a bright light in an area where I don't have a plug. That's been one of the more compelling use cases for me. The C1000 can be loud when it's charging or powering appliances that have high energy draw, but that's about the only downside I found during testing. How to Buy The Solix C1000 Gen 2 Portable Power Station is currently available for $372, which is more than half off its MSRP. It can be purchased from the Anker website or from Amazon.com . Note: Anker provided MacRumors with a C1000 for the purpose of this review. No other compensation was received. Tag: Anker This article, " Review: Anker Solix C1000 Gen 2 is a Mid-Size Power Station With Fast Charging " first appeared on MacRumors.com Discuss this article in our forums

Review: Anker Solix C1000 Gen 2 is a Mid-Size Power Station With Fast Charging

Review: Anker Solix C1000 Gen 2 is a Mid-Size Power Station With Fast Charging

Anker is well-known for its charging accessories, including the Solix line of high-capacity power stations. Earlier this year, Anker came out with a new Solix C1000 Gen 2 Portable Power Station , which I've been testing for the last several months. The C1000 has your standard power station aesthetic, made from durable black and gray plastic. It has two handles at the sides, which makes it simple to distribute the weight across two hands, along with fan grilles and an LED display that shows the current power level and the power draw of anything that's plugged in. Rubber feet at all four corners ensure that it remains stable. There's no revolutionary design here, but the Solix C1000 looks and feels rugged. Curves at the corners make it feel a little more modern than some other power stations, and while it's not waterproof, you can get a protective carrying case that keeps it safe from moisture. It's 25 pounds, so it's probably not a battery that you're going to want to be lugging to the beach or the park, but it is good for all-day power if you're in a location where dragging around 25 pounds isn't a hassle. It isn't overly large, measuring in at 15 inches by 8.2 inches by 9.6 inches. At the front, there are five AC outlets, two 140W USB-C ports, one 15W USB-C port, and a 12W USB-A port. I appreciate that Anker is phasing out USB-A and only included a single USB-A port, because USB-A connectors are growing more uncommon. In the future, you may have no USB-A devices at all, so you won't have several wasted ports. 140W USB-C should also be good for years to come. There's a charging port at the side, a solar input port, and a 12V car port. I like the port arrangement, and was fine with all of the AC ports on the front, but spacing could be an issue if you want to plug in multiple devices with large plugs. For the AC outlet, you need to turn on AC power manually, a feature that exists to prevent battery drain when idle. This is a 1024-watt-hour battery with support for devices that draw up to 2000W, though it does support 3000W peak output. It should be able to handle almost any small appliance, including refrigerators, TVs (even large screen), heaters, portable air conditioners, lights, coffee makers, microwaves, medical devices, aquarium and animal setups, and tools that require a lot of power. I tested it up to 1500W and it worked with no issue. It uses lithium iron phosphate (LiFePO4) technology, which is what you want for a power station because LiFePO4 batteries are safe and last for more charge cycles. The C1000 is able to hold a charge in standby mode for a long time, which is great if you want to have a battery on hand for the occasional power outage. I charged it to full and left it powered off for a month, and it remained at 100 percent when I turned it back on at the end of the test. It's probably better to store it at around 80 percent capacity, but the point is you can charge it up, tuck it in a closet, and pull it out months later to use it in an emergency. The C1000's 1024 Wh capacity is enough to charge an iPhone dozens of times. Charging my iPhone 17 Pro Max from 0 to 80 dropped the battery level from 53 percent to 51 percent, which is only a two percent hit. Subsequent testing consistently used between 2 and 3 percent for ‌iPhone‌ charging. You can get fewer full MacBook charges, but it's still enough to keep multiple people up and running for a couple days. Charging my MacBook Pro from 0 to 100 percent dropped the battery from 100 to 88 percent, and charging my MacBook Air from 0 to 100 percent dropped the battery from 100 to 90 percent. It was able to run my ‌MacBook Pro‌ for a full 8-hour work day, doing day-to-day tasks like writing. I started at 76 percent and ended at 57 percent. It lasted almost 24 hours running my full Mac setup, which included my ‌MacBook Pro‌, Studio Display, three LED lights, and a phone charger. That does include around 10 hours of time where the MacBook and display were in rest mode, but it is more than capable of supporting a full work setup for a day or two. What's great about the C1000 is that it tells you exactly how long it will last based on the power draw of what's plugged in. On the LED, you'll see an estimated readout. It predicted around 14 hours of usage for my 67W ‌MacBook Air‌, which was accurate. It's not going to last super long when using high power devices like a microwave, but you often aren't using high power accessories for very long. It can run a mini heater, but those often range from 750W to 1500W, so it would last around an hour. For something like a mini fridge, though, you would be able to run it for several days. The C1000 is able to charge quickly, which has the potential to be useful when you're in a hurry. It can recharge to full in 49 minutes from a standard household plug, drawing around 1200W to do so (Anker says it can go up to 1600W, but you need to enable it). When it is under that kind of load, the fans kick on, and the fans are loud. I wouldn't be able to sleep with the fans on that high, and it's definitely a loud, irritating fan noise when going full blast. Luckily, the fans only come on at that level when it's under heavy load, and charging doesn't take too long. It also can't run high watt devices for super long, and it's much more tolerable at lower power levels. When charging small devices, it's near silent. You can connect the C1000 to a car or to solar panels to charge it up. For solar, charging times vary based on the size of the panel, the number of panels, and the available light. It can accept up to 600W through the solar input. For devices where you might like a backup feature that activates automatically in a power outage, the C1000 supports that. It has a UPS system with a sub 10ms switchover time. So if you plug something like a CPAP machine into the C1000 then plug the power station into power, the C1000 will come on right away when there's an outage. Anker has an app that connects to the C1000 over Wi-Fi or Bluetooth. You can use the app to check power level, power draw, and time remaining when a device is plugged in. You can also turn on the AC output or car charger output from the app, and fine tune controls like charging power, device timeout, charging and discharging limits, and more. It delivers new firmware too, which I struggled with. For several days, the firmware update kept failing, but it worked flawlessly later on, so I'm not sure what the issue was. Bottom Line This is a well made power station that's versatile thanks to its 1024 Wh capacity and the ability to support devices up to 2000W. It's a good home backup battery to have on hand in case of an emergency, but it also works well for camping, short trips where you need power, medical devices, and powering tools. I keep a battery like this one in two closets in my house so they're accessible, and I also like to pull out a large power stations when I need to operate a corded tool like a sander or a bright light in an area where I don't have a plug. That's been one of the more compelling use cases for me. The C1000 can be loud when it's charging or powering appliances that have high energy draw, but that's about the only downside I found during testing. How to Buy The Solix C1000 Gen 2 Portable Power Station is currently available for $372, which is more than half off its MSRP. It can be purchased from the Anker website or from Amazon.com . Note: Anker provided MacRumors with a C1000 for the purpose of this review. No other compensation was received. Tag: Anker This article, " Review: Anker Solix C1000 Gen 2 is a Mid-Size Power Station With Fast Charging " first appeared on MacRumors.com Discuss this article in our forums

Nous Research just released Nomos 1, an open-source AI that ranks second on the notoriously brutal Putnam math exam

Nous Research just released Nomos 1, an open-source AI that ranks second on the notoriously brutal Putnam math exam

Nous Research , the San Francisco-based artificial intelligence startup, released on Tuesday an open-source mathematical reasoning system called Nomos 1 that achieved near-elite human performance on this year's William Lowell Putnam Mathematical Competition , one of the most prestigious and notoriously difficult undergraduate math contests in the world. The Putnam is known for its difficulty: While a perfect score is 120, this year's top score was 90, and the median was just 2. Nomos 1, by contrast, scored 87 points — a result that would have ranked second out of 3,988 participants in the 2024 competition, according to the company. The release marks an inflection point in the rapidly accelerating race to build AI systems capable of sophisticated mathematical reasoning. Unlike the massive, compute-intensive models deployed by major technology companies, Nomos 1 achieves its results with a relatively compact architecture: 30 billion parameters with roughly 3 billion active at any given time, using a mixture-of-experts design based on Alibaba's Qwen3 model . "This score would rank #2/3988 in 2024 and marks our first step with Hillclimb AI towards creating a SOTA AI mathematician," Nous Research announced on social media Tuesday. The same base model scored 24 points without Nous Research's specialized training Perhaps most striking is the gap between Nomos 1 and its base model. When Nous Research ran the same Qwen3-30B-A3B-Thinking-2507 model through an identical testing harness, it scored just 24 out of 120 — a result that underscores the critical importance of post-training optimization and specialized reasoning techniques over raw model scale. "Nomos 1 achieved an 87/120 with 8 perfect scores," the company stated, noting that the performance difference "is largely due to post-training and data quality rather than the harness." The results were verified through blind grading by a human expert who had previously finished in the top 200 on the Putnam. Nous Research provided the anonymized submissions to the grader, then published the full set of de-anonymized files and the runbooks used to generate them on GitHub. Why the Putnam competition is considered the ultimate test of mathematical reasoning The William Lowell Putnam Mathematical Competition is an annual mathematics competition for undergraduate college students enrolled at institutions of higher learning in the United States and Canada. It is widely considered to be the most prestigious university-level mathematics competition in the world. The notoriously brutal William Lowell Putnam Mathematical Competition is more of a mathematical sporting event than an academic test. The exam consists of two 3-hour sessions separated by a 2-hour break. There are a total of 12 questions to be solved, 6 for each session. Each question is worth 10 points, for a total of 120 points. Putnam questions are not the type that come up in regular exams or textbooks. They are more like puzzles than calculations, often requiring students to find different ways to represent things before a solution might unfold. Last year, nearly 4,000 students across the continent wrote the Putnam. Sixty-one per cent scored three points or fewer, according to the Mathematical Association of America , which organizes the competition. The top score was 90 out of 120. Many Putnam Fellows have gone on to become distinguished researchers in mathematics and other fields, including three Fields Medalists — John Milnor, David Mumford, and Daniel Quillen — and two Nobel laureates in physics — Richard Feynman and Kenneth Wilson. Inside the two-phase reasoning system that powers Nomos 1's mathematical breakthroughs Nomos 1 is a specialization of Qwen's Qwen3-30B-A3B-Thinking model , optimized for mathematical problem-solving and proof-writing in natural language. The system was developed in collaboration with Hillclimb AI . What distinguishes Nomos 1 from simple model inference is its sophisticated reasoning harness — an open-source framework that orchestrates how the model approaches and solves problems. The harness operates in two distinct phases within a three-hour time limit, mirroring the actual Putnam competition structure. In the solving phase, parallel workers simultaneously tackle problems using a priority-based system. Each worker picks a problem, generates a submission, then scores its own work on a scale of 1 to 7. Problems with the fewest perfect scores receive priority, ensuring the system focuses its compute on the hardest challenges. This process continues until either all problems have achieved a target number of self-critiqued perfect scores or time runs out. The finalization phase begins 15 minutes before the time limit (or at 50% for shorter runs) and employs a two-stage selection process. First, a consolidation step groups submissions by conclusion and attempts to identify the correct group — importantly, not necessarily the majority group. Then, a pairwise tournament using single elimination determines the final submission for each problem. "Our open source reasoning system consists of a solving phase, where workers attempt a least-solved problem and self-assess, followed by a finalization phase, which consolidates submissions to choose a final submission for each problem," Nous Research explained . How Nomos 1 compares to mathematical AI systems from DeepSeek, Google, and OpenAI The Nomos 1 results arrive amid a flurry of advances in mathematical reasoning AI. DeepSeek's model, DeepSeekMath-V2 , scored 118 out of 120 points on questions from the 2024 William Lowell Putnam Mathematical Competition, beating the top human score of 90. The model also performed at the level of gold-medal winners in the International Mathematical Olympiad. This year, Google's advanced Gemini model operated end-to-end in natural language, producing rigorous mathematical proofs directly from the official problem descriptions – all within the 4.5-hour competition time limit. They achieved this year's result using an advanced version of Gemini Deep Think . What makes Nomos 1's achievement notable is not raw performance — it trails DeepSeek's 118/120 — but rather its accessibility and efficiency. At 30 billion parameters with only 3 billion active, the model can run on consumer-grade hardware, a stark contrast to the massive compute clusters required by frontier models from OpenAI and Google. Hermes 4.3 arrived just six days earlier, trained on a decentralized blockchain network The Nomos 1 announcement follows closely on the heels of Nous Research's December 3 release of Hermes 4.3 , a general-purpose language model that marked another significant milestone for the company. Hermes 4.3, based on ByteDance's Seed-OSS-36B-Base model , is the first production model that Nous Research trained entirely on its Psyche network — a distributed training infrastructure that uses a novel optimizer called DisTrO to coordinate training across nodes spread throughout data centers over the open internet, secured by consensus on the Solana blockchain. The company trained Hermes 4.3 both through traditional centralized methods and on the Psyche network , specifically to verify that distributed training could match or exceed centralized performance for production workloads. The Psyche-trained version outperformed the centralized version across a suite of downstream tasks, the company reported. "The training run proved stable throughout, averaging 144k tokens/second spread across 24 Psyche nodes," Nous Research stated. "Using DisTrO's overlapped collective strategy, the entirety of the P2P communications were hidden by the training time, effectively achieving equivalent throughput to traditional, centralized training." Hermes 4.3 also achieved state-of-the-art results on RefusalBench, a new benchmark that measures a model's willingness to be helpful across a variety of scenarios commonly restricted by other models. The model answered 74.60% of RefusalBench questions in non-reasoning mode, surpassing its predecessor Hermes 4 70B (59.50%) and outperforming closed models including Grok 4 (51.30%) and Gemini 2.5 Pro (24.23%). Small models with smart training are closing the gap with trillion-parameter giants Together, the two releases in a single week signal Nous Research's strategic bet: that smaller, more efficient models with sophisticated post-training techniques and reasoning harnesses can compete with — and in some cases outperform — the massive models developed by better-funded competitors. For enterprise decision-makers, the implications are significant. Mathematical reasoning capabilities have applications far beyond academic competitions: they're essential for formal verification, theorem proving, scientific modeling, cryptographic analysis, and any domain requiring rigorous logical deduction. The open-source nature of both releases — Nomos 1 is available under the Apache 2.0 license on Hugging Face, with the full reasoning harness on GitHub — means that organizations can deploy these capabilities on their own infrastructure without relying on API calls to major cloud providers. "For the first time, anyone can run or access a state-of-the-art AI mathematician," one observer noted on social media. "This lowers the barrier to serious math research, proof verification, modeling complex systems, advanced reasoning work." The key contributors to Nomos 1 include Roger Jin, who led the training; Jeffrey Quesnelle and Dakota Mahan, who built the infrastructure; Chen Guang, who advised; and Ryan Teknium and Jeffrey Quesnelle, who provided leadership. The model was developed with contributions from Hillclimb AI and a team of math experts including Samuel Kim, Miron Yurkevich, and others. The race to build AI mathematicians is accelerating faster than anyone predicted The 86th Putnam Competition took place on Saturday, December 6, 2025 — just three days before Nous Research released Nomos 1. The timing underscores how rapidly the field is moving: companies are now releasing mathematical AI systems capable of near-elite human performance within days of the competitions they're designed to solve. Competition in mathematical AI has intensified dramatically in recent months. In July, an advanced version of Google DeepMind's Gemini model and an experimental reasoning model from OpenAI both achieved gold status on the IMO 2025. DeepSeek's new model matched their performance, solving 5 out of 6 problems. But the resource requirements for those frontier systems remain prohibitive for most organizations. OpenAI's o1-pro is estimated at over 1.8 trillion parameters; Google's Gemini 2.5 Pro likely exceeds 400 billion. Nomos 1, by contrast, achieves competitive results with a fraction of that footprint. The gap between massive frontier models and efficient open-source alternatives is narrowing. And for organizations that need mathematical reasoning capabilities without the budget for hyperscale compute, that gap may have just closed enough to matter. As one observer put it on social media: "This marks a significant jump for AI math models that are small enough to run on your laptop." A laptop that can now outperform nearly 4,000 of the continent's best undergraduate mathematicians.

Cohere’s Rerank 4 quadruples the context window over 3.5 to cut agent errors and boost enterprise search accuracy

Cohere’s Rerank 4 quadruples the context window over 3.5 to cut agent errors and boost enterprise search accuracy

Almost a year after releasing Rerank 3.5 , Cohere launched the latest version of its search model, now with a larger context window to help agents find the information they need to complete their tasks. Cohere said in a blog post that Rerank 4 has a 32K context window, representing a four-fold increase compared to 3.5. “This enables the model to handle longer documents, evaluate multiple passages simultaneously and capture relationships across sections that shorter windows would miss,” according to the blog post. “This expanded capacity, therefore, improves ranking accuracy for realistic document types and increases confidence in the relevance of retrieved results.” Rerank 4 comes in two flavors: Fast and Pro. As a smaller model, Fast is best suited for use cases that require both speed and accuracy, such as e-commerce, programming, and customer service. Pro is optimized for tasks that require deeper reasoning, precision, and analysis, such as generating risk models and conducting data analysis. Enterprise search gained greater importance this year, especially as AI agents have to access more information and context about the organization they work for. Cohere said rerankers “significantly enhance the accuracy of enterprise AI search by refining initial retrieval results.” Rerank 4 addresses the nuance gap created by some bi-encoder embeddings — models that help make retrieval augmented generation (RAG) tasks easier — by using a cross-encoder architecture “that processes queries and candidates jointly, capturing subtle semantic relationships and reordering results to surface the most relevant items,” Cohere said. Performance and benchmarks Cohere benchmarked the models against other reranking models, such as Qwen Reranker 8B, Jina Rerank v3 from Elasticsearch, and MongoDB’s Voyage Rerank 2.5, across tasks in the finance, healthcare, and manufacturing domains. Rerank 4 performed strongly, if not outperformed, its competitors. Rerank 3.5 stood out because of its ability to support several languages, and Cohere said Rerank 4 continues that trend. It understands over 100 languages, including state-of-the-art retrieval in 10 major business languages. Agents and reranking models Rerank 4 aims to make agentic tasks understand which data is best suited to their tasks and to provide more context. Cohere noted that the model is a key component of its agentic AI platform, North , as it “integrates seamlessly into existing AI search solutions, including hybrid, vector and keyword-based systems, with minimal code changes.” As more enterprises look to use agents for research and insights, as evidenced by the rise of Deep Research features , models that help filter irrelevant content, such as rerankers, become more essential. “This is especially impactful for agentic AI, where complex, multi-step interactions can quickly drive up model calls and saturate context windows,” Cohere said. The company argues that Rerank 4 helps reduce token usage and the number of retries an agent needs to get things right by preventing low-quality information from reaching the LLM. Self-learning Cohere said Rerank 4 stands out not just for its strong reranking abilities, but also for being the first reranking model that self-learns. Users can customize Rerank 4 for use cases they encounter more frequently without any additional annotated data. Much like foundation models like GPT-5.2 , where people can state preferences and the model remembers these, Rerank 4 users can tell the model their preferred content types and document corpora. If used with Rerank 4 Fast, for example, the model becomes more competitive with larger models because it is more precise and taps specific data users want. “Looking further, we also explored how Rerank 4’s self-learning capability performs on entirely new search domains,” Cohere said. “Using healthcare-focused datasets that mimic a clinician’s need to retrieve patient-specific information — not just expertise from a given medical discipline — we found that enabling Self Learning produced consistent, substantial gains. The result: a clear and significant boost in retrieval quality for Rerank 4 Fast, across the board.”