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NCSOFT’s LIMIT ZERO BREAKERS is opening its gates ⚔️ ◾ Test runs from June 10 - 15 ◾ Recruitment open until June 2 ◾ Available on PC, iOS & Android ◾ Anime-style action RPG with real-time combat ◾ Limited slots via closed test sign-ups LIMIT ZERO BREAKERS is developed... show more

GamingonPhone

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Satya Nadella was asked what Microsoft does when its AI revenue 10x's from $13B to $130B. He refused to answer in revenue - and named the only AGI benchmark he says counts "The first thing we have to observe is GDP growth. There's only one governor in all of this" "This is where a little bit of, we get ahead of ourselves with all this AGI hype" "The developed world is what, 2% growth? And if you adjust for inflation, it's zero. We have a real growth challenge" "When we say this is like the Industrial Revolution - that type of growth means to me 10%, 7%, developed world inflation adjusted, growing at 5%. That's the real marker" "The big winners here are not going to be tech companies. The winners are going to be the broader industry that uses this commodity" "Us self-claiming some AGI milestone - that's just nonsensical benchmark hacking to me. The real benchmark is the world growing at 10%" The CEO with one of the largest AI infrastructure bets on earth just told you to ignore every model benchmark and watch a single number: world GDP. By that test, nothing has happened yet. Developed-world growth is flat, and no lab's press release moves it. Real AGI shows up as the economy compounding at Industrial Revolution rates - or it isn't real.

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JoJo's Bizarre Adventure: Golden Spirit

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Ultima VII: The Black Gate (Origin Systems, 1992) was one of the most complex yet fun roleplaying games I ever played. Its world is huge and only if you love reading a lot dialogue and being a rather patient player, Ultima VII is for you. I often wonder how terrible such a game would do today, with players' attention spans maxing out after a few minutes at best. The Black Gate was critically acclaimed and commercially successful, being widely regarded as a high point in the series. In an interview, Richard Garriott stated that Ultima VII was "the most masterfully executed of the Ultima series". He has also stated that the game was, along with Ultima IV, his own favorite installment overall. Ultima VII is also the first game in the series that runs entirely in real-time, and only pauses when the inventory, the menu, or a dialogue is open, significantly affecting combat. This was one of the bigger changes from the predecessors and something that a turn based RPG fan had to get used to. It certainly took me some time.

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Announcing DreamDojo: our open-source, interactive world model that takes robot motor controls and generates the future in pixels. No engine, no meshes, no hand-authored dynamics. It's Simulation 2.0. Time for robotics to take the bitter lesson pill. Real-world robot learning is bottlenecked by time, wear, safety, and resets. If we want Physical AI to move at pretraining speed, we need a simulator that adapts to pretraining scale with as little human engineering as possible. Our key insights: (1) human egocentric videos are a scalable source of first-person physics; (2) latent actions make them "robot-readable" across different hardware; (3) real-time inference unlocks live teleop, policy eval, and test-time planning *inside* a dream. We pre-train on 44K hours of human videos: cheap, abundant, and collected with zero robot-in-the-loop. Humans have already explored the combinatorics: we grasp, pour, fold, assemble, fail, retry—across cluttered scenes, shifting viewpoints, changing light, and hour-long task chains—at a scale no robot fleet could match. The missing piece: these videos have no action labels. So we introduce latent actions: a unified representation inferred directly from videos that captures "what changed between world states" without knowing the underlying hardware. This lets us train on any first-person video as if it came with motor commands attached. As a result, DreamDojo generalizes zero-shot to objects and environments never seen in any robot training set, because humans saw them first. Next, we post-train onto each robot to fit its specific hardware. Think of it as separating "how the world looks and behaves" from "how this particular robot actuates." The base model follows the general physical rules, then "snaps onto" the robot's unique mechanics. It's kind of like loading a new character and scene assets into Unreal Engine, but done through gradient descent and generalizes far beyond the post-training dataset. A world simulator is only useful if it runs fast enough to close the loop. We train a real-time version of DreamDojo that runs at 10 FPS, stable for over a minute of continuous rollout. This unlocks exciting possibilities: - Live teleoperation *inside* a dream. Connect a VR controller, stream actions into DreamDojo, and teleop a virtual robot in real time. We demo this on Unitree G1 with a PICO headset and one RTX 5090. - Policy evaluation. You can benchmark a policy checkpoint in DreamDojo instead of the real world. The simulated success rates strongly correlate with real-world results - accurate enough to rank checkpoints without burning a single motor. - Model-based planning. Sample multiple action proposals → simulate them all in parallel → pick the best future. Gains +17% real-world success out of the box on a fruit packing task. We open-source everything!! Weights, code, post-training dataset, eval set, and whitepaper with tons of details to reproduce. DreamDojo is based on NVIDIA Cosmos, which is open-weight too. 2026 is the year of World Models for physical AI. We want you to build with us. Happy scaling! Links in thread:

Announcing DreamDojo: our open-source, interactive world model that takes robot motor controls and generates the future in pixels. No engine, no meshes, no hand-authored dynamics. It's Simulation 2.0. Time for robotics to take the bitter lesson pill. Real-world robot learning is bottlenecked by time, wear, safety, and resets. If we want Physical AI to move at pretraining speed, we need a simulator that adapts to pretraining scale with as little human engineering as possible. Our key insights: (1) human egocentric videos are a scalable source of first-person physics; (2) latent actions make them "robot-readable" across different hardware; (3) real-time inference unlocks live teleop, policy eval, and test-time planning inside a dream. We pre-train on 44K hours of human videos: cheap, abundant, and collected with zero robot-in-the-loop. Humans have already explored the combinatorics: we grasp, pour, fold, assemble, fail, retry—across cluttered scenes, shifting viewpoints, changing light, and hour-long task chains—at a scale no robot fleet could match. The missing piece: these videos have no action labels. So we introduce latent actions: a unified representation inferred directly from videos that captures "what changed between world states" without knowing the underlying hardware. This lets us train on any first-person video as if it came with motor commands attached. As a result, DreamDojo generalizes zero-shot to objects and environments never seen in any robot training set, because humans saw them first. Next, we post-train onto each robot to fit its specific hardware. Think of it as separating "how the world looks and behaves" from "how this particular robot actuates." The base model follows the general physical rules, then "snaps onto" the robot's unique mechanics. It's kind of like loading a new character and scene assets into Unreal Engine, but done through gradient descent and generalizes far beyond the post-training dataset. A world simulator is only useful if it runs fast enough to close the loop. We train a real-time version of DreamDojo that runs at 10 FPS, stable for over a minute of continuous rollout. This unlocks exciting possibilities: - Live teleoperation inside a dream. Connect a VR controller, stream actions into DreamDojo, and teleop a virtual robot in real time. We demo this on Unitree G1 with a PICO headset and one RTX 5090. - Policy evaluation. You can benchmark a policy checkpoint in DreamDojo instead of the real world. The simulated success rates strongly correlate with real-world results - accurate enough to rank checkpoints without burning a single motor. - Model-based planning. Sample multiple action proposals → simulate them all in parallel → pick the best future. Gains +17% real-world success out of the box on a fruit packing task. We open-source everything!! Weights, code, post-training dataset, eval set, and whitepaper with tons of details to reproduce. DreamDojo is based on NVIDIA Cosmos, which is open-weight too. 2026 is the year of World Models for physical AI. We want you to build with us. Happy scaling! Links in thread:

Jim Fan

227,430 просмотров • 6 месяцев назад

Our new game infrastructure is being designed to be compatible with PC, Android, and IOS operating systems, featuring TPP-FPP game modes. 🎮 While conducting multiplayer tests on PC, we are effectively testing for mobile as well. The operation we are running simultaneously for PC and mobile saves us a great deal of time, allowing us to use a single game engine and generate two different outputs for cross-platform compatibility. 💻📱 We have created a code sequence that enables AI bots to attack you based on your KDA ratio, giving a real-player sensation. 🤖 We've considered all details, from hearing, seeing, to hiding behind objects and flanking you. 🎧👀 In single-player mode, you will experience a unique gameplay experience where you must defeat challenging enemies a good fight for a good reward is necessary! ⚔️🏆 While we continue to work on enabling Android and iOS users to join the same game, we will first launch multiplayer on PC and Android within their respective platforms. 🤝 We will refine the TDM and FFA modes, where you can challenge online opponents and earn COF, with player feedback to make them the best they can be. 🛠️👥 Following the release of COF, we will host tournaments with substantial prizes. 🏅 These matches, which can be played individually or in teams, will be live-streamed on Twitch and YouTube. 📺 You can form a team with your friends or collaborate with community members to create your new team. 👫🎮 To facilitate this, we will create a special area on our website to display data for teams and players. 🌐 We are nearing the completion of all our setups; our test server has successfully run our game and provided a stable service for 2 days. ✅ We will publish the minimum system requirements for PC. 🖥️ The texture sizes for the mobile game have been adjusted for phone optimization, ensuring smooth gameplay without lag. 📲 Now we will take a short break and continue from where we left off tomorrow. 🛌🔜 #cof #ecas #eth #p2e #BlockchainGaming #multiplayer #online #onlinegames #DEX

Our new game infrastructure is being designed to be compatible with PC, Android, and IOS operating systems, featuring TPP-FPP game modes. 🎮 While conducting multiplayer tests on PC, we are effectively testing for mobile as well. The operation we are running simultaneously for PC and mobile saves us a great deal of time, allowing us to use a single game engine and generate two different outputs for cross-platform compatibility. 💻📱 We have created a code sequence that enables AI bots to attack you based on your KDA ratio, giving a real-player sensation. 🤖 We've considered all details, from hearing, seeing, to hiding behind objects and flanking you. 🎧👀 In single-player mode, you will experience a unique gameplay experience where you must defeat challenging enemies a good fight for a good reward is necessary! ⚔️🏆 While we continue to work on enabling Android and iOS users to join the same game, we will first launch multiplayer on PC and Android within their respective platforms. 🤝 We will refine the TDM and FFA modes, where you can challenge online opponents and earn COF, with player feedback to make them the best they can be. 🛠️👥 Following the release of COF, we will host tournaments with substantial prizes. 🏅 These matches, which can be played individually or in teams, will be live-streamed on Twitch and YouTube. 📺 You can form a team with your friends or collaborate with community members to create your new team. 👫🎮 To facilitate this, we will create a special area on our website to display data for teams and players. 🌐 We are nearing the completion of all our setups; our test server has successfully run our game and provided a stable service for 2 days. ✅ We will publish the minimum system requirements for PC. 🖥️ The texture sizes for the mobile game have been adjusted for phone optimization, ensuring smooth gameplay without lag. 📲 Now we will take a short break and continue from where we left off tomorrow. 🛌🔜 #cof #ecas #eth #p2e #BlockchainGaming #multiplayer #online #onlinegames #DEX

Cryptoforce | $COF | P2E

11,307 просмотров • 2 лет назад

Phantom Blade Zero | New Gameplay Details & PS5 Pro Footage: ▫️ 8 regions with intricate, handcrafted level design ▫️ 55 different weapons - 30 primaries and 25 secondaries ▫️ On Hellwalker difficulty, bosses won't rely on fixed patterns - they adapt to your behavior and mistakes in real-time ▫️ Play as Soul - once the most feared blade, but gets set up for his leader's murder ▫️ He is killed by his blood brother in a final duel ▫️ Soul gets revived by a mysterious healer but has only 66 days to live ▫️ Find a cure and uncover the plot behind the betrayal ▫️ Fight martial artists from across the Wulin (martial arts underworld) in the town of Pangzhen ▫️ Not an open world game, but not strictly linear from start to finish ▫️ Each region is interconnected to create one large world ▫️ Use Bells to fast travel between discovered locations ▫️ World map is hand-painted with Chinese ink wash style techniques giving only a rough sense of direction ▫️ Discover hidden enemies, side quests, and secret treasure ▫️ Unlock new skills and weapon upgrades, which can be reset at any time to reinvest in others ▫️ Upgrading a weapon unlocks unique forms and techniques ▫️ Three base difficulty options ▫️ An even harder '66 Days' difficulty can be unlocked, which gives you just 66 lives to complete the entire game ▫️ 'Kung-fu Punk' theme - Traditional kung-fu, combined with steampunk and body modification ▫️ Releasing October 29th on PS5 and PC Phantom Blade Zero #PhantomBladeZero #PS5

Phantom Blade Zero | New Gameplay Details & PS5 Pro Footage: ▫️ 8 regions with intricate, handcrafted level design ▫️ 55 different weapons - 30 primaries and 25 secondaries ▫️ On Hellwalker difficulty, bosses won't rely on fixed patterns - they adapt to your behavior and mistakes in real-time ▫️ Play as Soul - once the most feared blade, but gets set up for his leader's murder ▫️ He is killed by his blood brother in a final duel ▫️ Soul gets revived by a mysterious healer but has only 66 days to live ▫️ Find a cure and uncover the plot behind the betrayal ▫️ Fight martial artists from across the Wulin (martial arts underworld) in the town of Pangzhen ▫️ Not an open world game, but not strictly linear from start to finish ▫️ Each region is interconnected to create one large world ▫️ Use Bells to fast travel between discovered locations ▫️ World map is hand-painted with Chinese ink wash style techniques giving only a rough sense of direction ▫️ Discover hidden enemies, side quests, and secret treasure ▫️ Unlock new skills and weapon upgrades, which can be reset at any time to reinvest in others ▫️ Upgrading a weapon unlocks unique forms and techniques ▫️ Three base difficulty options ▫️ An even harder '66 Days' difficulty can be unlocked, which gives you just 66 lives to complete the entire game ▫️ 'Kung-fu Punk' theme - Traditional kung-fu, combined with steampunk and body modification ▫️ Releasing October 29th on PS5 and PC Phantom Blade Zero #PhantomBladeZero #PS5

KAMI

61,760 просмотров • 6 дней назад

Random Information Post ❗️ The F-15 S/MTD, part Ace Combat 7: Skies Unknown 's Experimental Aircraft Series Set DLC or available on it's own in the F-15 S/MTD Set DLC, is a semi-historical fictional aircraft. It is based on the real life F-15 STOL/MTD and later F-15 ACTIVE test aircraft. The aircraft used for the project was pre-production TF-15A (F-15B) No. 1 (USAF S/N 71-0290), the first two-seat F-15 Eagle built by McDonnell Douglas (out of 2 prototypes), the sixth F-15 off the assembly line, and was the oldest F-15 flying up to its retirement. The programs ran from September 7th 1988 to January 30th 2009, where the air frame was finally retired. The aircraft was used in several tests and experiments centered around thrust vectoring and advanced avionics equipment. the F-15 STOL/MTD program was intended to give F-15s the ability to take off from short or damaged runways in the event that a war with the Soviet Union damaged them or forced the use of sub-optimal backup airfields. The canards on the aircraft are stabilizers from an F/A-18 that were attached to the fuselage, removing the 20mm Vulcan cannon in the process to allow for the modification. The aircraft used two types of thruster nozzles, the first being a square 2D nozzle, allowing thrust vectoring up and down, and later a 3D nozzle allowing thrust to be vectored in all directions. The program showed good results, though not intended as a performance upgrade McDonnel Douglas engineers noted a 15% increase in the plane's overall dog fighting performance from the modifications. Also noting takeoff speeds as low as 42 mph (68 km/h), and a 25% reduction in the required runway length for takeoff. However the US Air Force did not buy these upgrades. No official reason was made public but the collapse of the Soviet Union in 1991 likely eliminated the need and enthusiasm to upgrade the fleet of F-15s. The test aircraft continued to serve on loan to NASA until 2008 however, and is now on display at Edwards AFB. Still a very cool aircraft to look at, and a common sight in Ace Combat games since Ace Combat 3, with it's fictional F-15S/MT Eagle+ variant being it's first appearance in the franchise, and is one of my favorite fictional aircraft in the series. Sources: Wikipedia, Acepedia, and offhand knowledge from various articles and mentions from informed friends.

Random Information Post ❗️ The F-15 S/MTD, part Ace Combat 7: Skies Unknown 's Experimental Aircraft Series Set DLC or available on it's own in the F-15 S/MTD Set DLC, is a semi-historical fictional aircraft. It is based on the real life F-15 STOL/MTD and later F-15 ACTIVE test aircraft. The aircraft used for the project was pre-production TF-15A (F-15B) No. 1 (USAF S/N 71-0290), the first two-seat F-15 Eagle built by McDonnell Douglas (out of 2 prototypes), the sixth F-15 off the assembly line, and was the oldest F-15 flying up to its retirement. The programs ran from September 7th 1988 to January 30th 2009, where the air frame was finally retired. The aircraft was used in several tests and experiments centered around thrust vectoring and advanced avionics equipment. the F-15 STOL/MTD program was intended to give F-15s the ability to take off from short or damaged runways in the event that a war with the Soviet Union damaged them or forced the use of sub-optimal backup airfields. The canards on the aircraft are stabilizers from an F/A-18 that were attached to the fuselage, removing the 20mm Vulcan cannon in the process to allow for the modification. The aircraft used two types of thruster nozzles, the first being a square 2D nozzle, allowing thrust vectoring up and down, and later a 3D nozzle allowing thrust to be vectored in all directions. The program showed good results, though not intended as a performance upgrade McDonnel Douglas engineers noted a 15% increase in the plane's overall dog fighting performance from the modifications. Also noting takeoff speeds as low as 42 mph (68 km/h), and a 25% reduction in the required runway length for takeoff. However the US Air Force did not buy these upgrades. No official reason was made public but the collapse of the Soviet Union in 1991 likely eliminated the need and enthusiasm to upgrade the fleet of F-15s. The test aircraft continued to serve on loan to NASA until 2008 however, and is now on display at Edwards AFB. Still a very cool aircraft to look at, and a common sight in Ace Combat games since Ace Combat 3, with it's fictional F-15S/MT Eagle+ variant being it's first appearance in the franchise, and is one of my favorite fictional aircraft in the series. Sources: Wikipedia, Acepedia, and offhand knowledge from various articles and mentions from informed friends.

HoraceVT 🪄🎬

23,777 просмотров • 7 месяцев назад

Autonomous driving through very dense dynamic traffic, with extremely tight-complex-stochastic traffic-dynamics on sub-urban roads, connecting to an open ground, with absolutely zero traffic-rules. This is the most heavily cluttered environment where we have tested our #autonomousdriving technology, presenting many of the adversarial negotiation scenarios as well, throughout the autonomous navigation task. This demo was done at the Mata Baglamukhi Madir campus in the city of Nalkheda, in MP, India, and was done in the presence of heavy police forces deployed that day on the ground, as can be seen in our demo. Our autonomous vehicle starts from the temple with a generic open environment, with zero traffic rules, with very narrow corridors created out of barricades for vehicles movement by the security forces. In the corridor no two vehicles can pass through at the same time, and our vehicle was tasked with driving through this corridor, while negotiating its way from any traffic, two-wheelers, or pedestrians it faces, with dense presence of bikes and cars on either side, presenting a very challenging environment for #autonomousvehicles. The vehicle exits the open area, and then assumes generic dual lane navigation, avoiding both static and dynamic obstacles, before encountering a police check-post, where the vehicle is supposed to wait if the barricade is closed, and proceed if open. Upon exiting the checkpost, the vehicle negotiates a traffic-intersection with stochastic and adversarial driving behaviour of other vehicles on the road. Our vehicle continuously faced heavily cluttered traffic scene, where entities on the road can execute a random driving pattern, making the decision making task very challenging. We did the demo over a period of two days, successfully executing multiple (30+) trials in this setting. This demo was again a culmination of our prior works and demos: Kankali Kali Mata demo, on-roads, bidirectional negotiation capability on single lane roads, and open environment Level-5 negotiation capability as showcased in our Toll-Plaza demo. We again scaled up classical decision making and motion planning algorithmic framework, to adapt to such a level of density of obstacles on the road. This framework is further being scaled up with #reinforcementlearning and unsupervised #deeplearning at Swaayatt Robots. We will again do a demo in the month of June here, showcasing autonomously acquired skills to pave the way for Level-5 autonomous driving, and to solve the Level-4 autonomy problem by the end of 2024. #MachineLearning

Autonomous driving through very dense dynamic traffic, with extremely tight-complex-stochastic traffic-dynamics on sub-urban roads, connecting to an open ground, with absolutely zero traffic-rules. This is the most heavily cluttered environment where we have tested our #autonomousdriving technology, presenting many of the adversarial negotiation scenarios as well, throughout the autonomous navigation task. This demo was done at the Mata Baglamukhi Madir campus in the city of Nalkheda, in MP, India, and was done in the presence of heavy police forces deployed that day on the ground, as can be seen in our demo. Our autonomous vehicle starts from the temple with a generic open environment, with zero traffic rules, with very narrow corridors created out of barricades for vehicles movement by the security forces. In the corridor no two vehicles can pass through at the same time, and our vehicle was tasked with driving through this corridor, while negotiating its way from any traffic, two-wheelers, or pedestrians it faces, with dense presence of bikes and cars on either side, presenting a very challenging environment for #autonomousvehicles. The vehicle exits the open area, and then assumes generic dual lane navigation, avoiding both static and dynamic obstacles, before encountering a police check-post, where the vehicle is supposed to wait if the barricade is closed, and proceed if open. Upon exiting the checkpost, the vehicle negotiates a traffic-intersection with stochastic and adversarial driving behaviour of other vehicles on the road. Our vehicle continuously faced heavily cluttered traffic scene, where entities on the road can execute a random driving pattern, making the decision making task very challenging. We did the demo over a period of two days, successfully executing multiple (30+) trials in this setting. This demo was again a culmination of our prior works and demos: Kankali Kali Mata demo, on-roads, bidirectional negotiation capability on single lane roads, and open environment Level-5 negotiation capability as showcased in our Toll-Plaza demo. We again scaled up classical decision making and motion planning algorithmic framework, to adapt to such a level of density of obstacles on the road. This framework is further being scaled up with #reinforcementlearning and unsupervised #deeplearning at Swaayatt Robots. We will again do a demo in the month of June here, showcasing autonomously acquired skills to pave the way for Level-5 autonomous driving, and to solve the Level-4 autonomy problem by the end of 2024. #MachineLearning

Sanjeev Sharma

332,952 просмотров • 2 лет назад

Who here is old enough to remember when Myst (1993) blew everyone away? It was a straight-up revolution! Well, that's how it felt like at the time. Developed by brothers Rand & Robyn Miller (Cyan), Myst had over 2,500 photorealistic pre-rendered images, 40 minutes of original ambient music, and 66 minutes of video on a single CD-ROM. Many say it helped kickstart the CD-ROM era (1993 was still heavily dominated by 3.5" disks), which was an expensive hardware luxury back then. It looked and sounded like nothing else. There was no combat. No death. And also no hand-holding. Just you, a mysterious island, books, levers, codes, and puzzles in beautifil, lonely worlds - you had to figure it out, the gameplay was open and non-linear. It felt like stepping into a painting, and you could argue it was one of the first games with true immersion (again, for its time - remember this was 1993). It sold over 6 million copies, and stayed the best-selling PC game for 9 (!) years until The Sims in 2002. It created a whole new audience and changed what people expected from PC gaming forever, the bar was raised to a whole new level. For the first time a game also had real appeal to the non-hardcore gamers. It pulled in more female players than any other game before. For its time it was pure magic.

Who here is old enough to remember when Myst (1993) blew everyone away? It was a straight-up revolution! Well, that's how it felt like at the time. Developed by brothers Rand & Robyn Miller (Cyan), Myst had over 2,500 photorealistic pre-rendered images, 40 minutes of original ambient music, and 66 minutes of video on a single CD-ROM. Many say it helped kickstart the CD-ROM era (1993 was still heavily dominated by 3.5" disks), which was an expensive hardware luxury back then. It looked and sounded like nothing else. There was no combat. No death. And also no hand-holding. Just you, a mysterious island, books, levers, codes, and puzzles in beautifil, lonely worlds - you had to figure it out, the gameplay was open and non-linear. It felt like stepping into a painting, and you could argue it was one of the first games with true immersion (again, for its time - remember this was 1993). It sold over 6 million copies, and stayed the best-selling PC game for 9 (!) years until The Sims in 2002. It created a whole new audience and changed what people expected from PC gaming forever, the bar was raised to a whole new level. For the first time a game also had real appeal to the non-hardcore gamers. It pulled in more female players than any other game before. For its time it was pure magic.

exQUIZitely 🕹️

40,752 просмотров • 3 месяцев назад

Samson announced, 'consequence-heavy noir action game' from Liquid Swords Reveal Trailer ➡️ ▪️Developed by Liquid Swords, led by Just Cause director Christofer Sundberg and other ex-Avalanche devs (Mad Max) ▪️Coming to PC on Steam and EGS ▪️Play as Samson McCray, a man fighting to stay ahead of a crushing debt that tightens by the hour" ▪️"Sharp, contained story", takes place in the city of Tyndalston, plagued by violence and desperation ▪️"Uncover what broke Samson’s family and what it takes to fix it before time runs out" ▪️"Grounded" combat that is physical and dangerous, fights are "punishing" ▪️The city tracks your decisions and streets "shift with your actions", ▪️Every day "costs you", your debt grows with interest and jobs you take on burn a limited pool of Action Points available to you where "every choice forces a trade-off" ▪️The chaos you cause dictates how much pressure you get from law enforcement, "push too far and the city pushes back harder" ▪️Daily Quota: Each morning hits you with a new number. Miss it and the interest spikes, making tomorrow worse ▪️25+ upgrades through skill tree, brawling and weaponized driving ▪️Combat involves momentum, terrain, and improvised tools ▪️Intense vehicle chases turn into collisions, traps and close-quarters destruction

Samson announced, 'consequence-heavy noir action game' from Liquid Swords Reveal Trailer ➡️ ▪️Developed by Liquid Swords, led by Just Cause director Christofer Sundberg and other ex-Avalanche devs (Mad Max) ▪️Coming to PC on Steam and EGS ▪️Play as Samson McCray, a man fighting to stay ahead of a crushing debt that tightens by the hour" ▪️"Sharp, contained story", takes place in the city of Tyndalston, plagued by violence and desperation ▪️"Uncover what broke Samson’s family and what it takes to fix it before time runs out" ▪️"Grounded" combat that is physical and dangerous, fights are "punishing" ▪️The city tracks your decisions and streets "shift with your actions", ▪️Every day "costs you", your debt grows with interest and jobs you take on burn a limited pool of Action Points available to you where "every choice forces a trade-off" ▪️The chaos you cause dictates how much pressure you get from law enforcement, "push too far and the city pushes back harder" ▪️Daily Quota: Each morning hits you with a new number. Miss it and the interest spikes, making tomorrow worse ▪️25+ upgrades through skill tree, brawling and weaponized driving ▪️Combat involves momentum, terrain, and improvised tools ▪️Intense vehicle chases turn into collisions, traps and close-quarters destruction

Shinobi602

96,753 просмотров • 8 месяцев назад