We're glad to see everyone enjoying Apocalypse Rising! It's been three weeks since release and this marks our first major balance pass! We are also releasing the modding SDK so users can look into our tools for custom projects! Posted by FRAYDO on May 16th, 2025 We are glad to see everyone playing and enjoying Apocalypse Rising so far! It has been three week since release and this update marks our first major balance pass. The initial feedback has reported that the "Allies are overpowered", and we aim to address that notion with this major patch. This post will include patches 0.9.0.1 through 0.9.0.5 in descending order to describe everything that has been adjusted since our release. At the bottom of this post, after all of the patch notes, we are also including information on the release of our Modding SDK! Patches 0.9.0.3 - 0.9.0.5 There are three patches here because we ran internal testing before settling on the final build (0.9.0.5) Based on game experience and player feedback, it was identified that the Allies were winning the majority of the games. This patch brings the Soviets up to compensate whilst also nerfing some key Allied units. Soviet will now have more of a chance in the face of the Allied teamwork machine. Bug Fixes Fixed several crashes reported by players via crash dumps (thank you!) Fixed Nvidia App "game filters" crashing the game Keyboard keys no longer get stuck when the window loses focus (e.g. Alt+Tab would leave Alt stuck) Less hitching when units spawn Fixed an issue relating to Chrono Miner Objective Markers Performance has been improved by optimizing some game objects General Changes Team remixing/rebalancing logic was re-implemented to improve team variety for players from match to match Players can no longer refill when in combat. Players can now set max FPS to any value instead of an arbitrary selection Bots can path their way out of buildings now (mostly) Mesh optimizations have been applied to the War Factories and Refineries. The legacy "Battlefield Key Success Tips" document has been removed from the game. Several PT icons have been updated Reinforcement Bays are no longer targetable by enemies. Kill messages: Grand Cannon kill strings no longer fill the feed on FreezingStraits. Added crushed kill string. Revolver kill string has been added to the nagant. Shotgun kill string has been added to the shotguns. Map Changes Fort Bradley: Fixed a bunch of buildings, improving performance and removing ngons Adjusted some of the building roofs to prevent degenerate gameplay FreezingStraits: Added visible boundary stripes. The hills behind the bases are now considered out of bounds. Removed a chunk of terrain sticking into the Radar Tower basement. LittleBigLake: Fixed a floating rock on the cliff behind the Allied base. SnowBound: The cliff to the northwest of the Allied base is now considered out-of-bounds. Fixed a couple texture seams at the main road north of the Allied base. Updated the screenshot on loading screen. Updated the overhead map. Dune Patrol: Adjusted out of bounds area to prevent degenerate gameplay General Balance Changes The targeting ranges of several weapons were increased by 3m in order to for units to be able to target enemies a little way before they are actually in range. Lock-on untrack time increased: 1.25s -> 1.75s Prevented some map objects from being locked onto (i.e. Bridge repair Huts) Deployed Infantry Damage Resistance Reduced: 50%->40% Damage from Explosions now affects Mines, C4 and Dynamite Infantry that are crushed by vehicles now register on the kill feed Proximity Mines are now placed at the player's feet. This is in order to prevent mines from being placed on walls and in other weird places. All thrown cooldown-based weapons now autoswap back to the unit's Primary after being used. i.e. After using Molotovs, the Conscript will switch back to it's PPSH automatically Dogs can now reload their bite and bark weapons whilst sprinting. Allies Guardian GI Secondary Fire now shoots a missile that does not lock-on Rocketeer Jetpack Cooldown increased 1s->2s Projectile Damage Reduced: 25->20 Projectile Explosion Damage Outer Radius Increased: 3m->3.25m Projectile Explosion Damage Inner Radius Increased: 1.5m->2m Sniper Projectile Range Decreased: 350m -> 220m Corrected Damage Falloff Range (Within the last 50m of range, the damage falls off by around half) Navy SEAL Projectile Warhead changed: Bullet -> Bullet Anti Infantry This change nerfs the MP5N vs armoured targets Primary Projectile Damage: 15->14 Primary Projectile Spray angle Increased: 0.24°->0.75° Secondary Projectile Damage: 15->14 Secondary Projectile Burst Delay time: 0.12s->0.15s Secondary Projectile Spray angle Increased: 0.1°->0.5° C4 Inventory Count Reduced: 2->1 C4 Explosion Damage Increased: 60->90 Tanya Projectile Damage Increased: 20->22 Projectile Rate of Fire Increased: 6->12 Weapon now fires in 2 round bursts Weapon Clip Sized Increased 18->36 Tanya is supposed to be holding two pistols, so this new clip size aims to reflect that C4 Range: 5m->10m IFV Guardian GI Range Decreased: 120->115 Seal Damage Increased 12->14 Rate of Fire Increased 14->16 Range Increased 95m->115m Sniper Changed Warhead form Bullet_AV to Bullet_AI Projectile Damage: 102 -> 100 Projectile Range: 300 -> 275 Corrected Damage Falloff Range (Within the last 50m of range, the damage falls off by around half) Mirage Tank Range Decreased: 115->110 Prism Tank Projectile Range Increased 145m->150m Tank Destroyer Projectile Range Decreased: 135m->120m Cost Increased: 900->1000 Howitzer Adjusted the model so that it looks less like the Tank Destroyer Harrier Projectile Range Decreased: 130m->120m Black Eagle Projectile Velocity Decreased: 120->100 Projectile Range Decreased: 130m->120m Soviets Crazy Ivan Grenade Launcher Explosion Damage Increased: 50->75 Large Dynamite Inventory Count Reduced: 2->1 Large Dynamite Explosion Damage Increased: 60->90 Terrorist Self Explosion Damage Inner Radius Increased: 4m->6m Weapons are now hidden when not being held. Boris Airtsrike Timer Reduced: 15s->12s Terror Drone The physics have been altered for better handling and cliff climbing performance Jump Height Increased: 12->15 Flak Track Has a new model! Weapon Reload Time: 1.5s ->1.25s Primary Projectile Damage Decreased 33->30 Secondary Projectile Velocity Increased: 400->500 V3 Rocket Launcher Projectile Velocity Decreased: 112->90 Projectile Gravity Increased: 7.0->3.75 Projectile Extension Adjusted Explosion Damage Inner Radius Increased: 10m->12m ***TOTAL RANGE IS AROUND 230m*** Tesla Tank: Weapon handling adjusted to reduce the arc of fire overall Demo Truck Cost Reduced: 1500->1400 Explosion Damage Increased: 400->500 Radiation Radius Increased: 24m->30m Apocalypse Tank Cannon Velocity Increased 250m/s->275m/s Missile Range Increased 135m->140m Missile Lock-on Time Decreased: 1.25->2 Missile Turn Rate increased: 350°/s->420°/s Siege Chopper Model updated with Rotor Blur Cameras re-worked Physics altered to make the controls more responsive Projectile Explosion Damage Outer Radius Increased: 1.5m->2.5m Projectile Explosion Damage Inner Radius Increased: 1m->1.85m Kirov Airship The Kirov now takes half as much damage from all non-AA weapons Points Given on Death: 200 -> 175 MG Damage Increased: 10->11 MG Spray Decreased: 1°->0.9° Bomb Impact Damage Increased: 110->125 Explosion Damage Increased: 100->110 Patch 0.9.0.2 This patch introduced more fixes and altered the balance of some of the most egregious units ingame. Bug Fixes Fixed a crash when spotting a disguised Mirage Tank as an Attack Dog, Tentatively fixed an exploit where GIs and GGIs could become invincible after using a parachute General Changes Added Siege Chopper Weapon Strings, Removed a Projectile Blocker from the doors of the Allied Power Plant Elm and Aca trees now have less upper branch projectile collision Fixed Allied Supply Truck and Siege Chopper entry/exit zones Fixed Shotgun Scaling Terror Drones and Robot Tanks now tell the pilot that the vehicle will be killed if they leave it Added a missing texture fron the loading screen AI turrets on the Battle Fortress and War Miner will now search for targets Terror Drone now has an attack sound Desolator Weapons no longer leave black marks everywhere New Soviet Technician PT Icon Re-ordered the infantry purchase list When using Artillery Auto-Aim feature when out of range, the auto aim will now adopt the max weapon elevation Updated the Credits Map Changes Little Big Lake: Fixed a hole in the ground by the Allied base. Adjusted pathfinding for Harvesters. Dune Patrol: Removed out-of-bounds lines in the small infantry tunnel next to the Soviet base. Snowbound: Added more ground clutter New terrain textures Added some rocks Fort Bradley: Fixed a bunch of NGons on the Urban Buildings Balance Changes The Attack Dog's Bark can now pierce through multiple targets Engineer + IFV Repair Reduced: 0.65 -> 0.6 Technician + IFV Repair Reduced: 0.32 -> 0.3 Technician IFv Self Healing Halved Deployed Infantry now take 50% less incoming damage from all sources (was inconsistent beforehand) AA Flak Damage vs Helicopters Increased Sniper IFV Laser now uses the correct range Patch 0.9.0.1 Released shortly after the game launched, this patch contained key fixes to the game. Bug Fixes Fixed a Server Crash that was sometimes occurring when a player added a vehicle to the queue and then left the server Siege Chopper can no longer deploy in mid-air Siege Chopper animation has been fixed Fixed an issue with Fort Bradley where Allies were getting 500 free points at the start of the match Fixed some graphical issues with Fort Bradley General Changes Added Siege Cameras to the V3 Launcher and Howitzer Added Encyclopaedia entries for the weapons and infantry Ricardo Engineer credit to Scorched Earth! Check out his RA2 and Apocalypse Rising videos on his YouTube channel! Youtube.com Over the course of these past few weeks, we have heard several requests from our players to release the tools for the game so they can make mods, dive into unit statistics, and translate the game into various languages. We are proud to announce we've made the modding SDK available here: Gitlab.com Whenever we release we will aim to update the tools to match the latest public version, much like we do with the server (also found here: Gitlab.com). If you're looking for tutorials and documentation, we have a wealth of info in our Tutorials forum but also on Tacitus, which is our documentation resource. Links below the image. Tacitus: Documentation Tutorials: W3D Tutorials Over time we will aim to add more to these tools, like pieces of example content and maps for you guy to dissect. In the meantime though, we can't wait to see what you'll all end up making and if you need any help creating things, please feel free to reach out to us over Discord! Found here: Discord.gg Keep 'Em Coming! That's all for now. Please feel free to leave your feedback and report bugs in our Discord and on our forums. We've got eyes on both platforms, so we'll make sure that every point gets a fair shake. Thanks again for supporting the game and our community! - The W3D Hub Team

Source: Daniel Gayne The announcement that his office would be actively exploring green belt land to develop on stole the show during Sadiq Khan’s big housing speech in Greenwich last Friday. But the consultation document published alongside the address – entitled Towards a new London Plan – was packed with clues about other ways in which the next plan could differ from the most recent one, which was adopted back in 2021. Target setting for social rent homes In a number of places, the consultation document makes it clear that the London mayor does not want to skimp on delivering homes for social rent. “The greatest affordable housing need is for social rent homes,” the document says. “A future approach could put more emphasis on this housing tenure in line with national policy. This includes setting specific targets for social rent and increasing the proportion of social rented homes secured through the planning system.” >> Also read: I make it a virtue that I’ve changed my mind: Khan talks up his green-belt U-turn but where might new homes be built? Interestingly, this would go beyond what has been implemented so far at the national level. Despite calls to do so from Florence Eshalomi, chair of the backbench housing select committee, central government has refrained from setting specific targets for the delivery of social housing. At a national level, Angela Rayner, Labour’s housing secretary, has been vocal in her support for the social rent tenure. But beyond rhetoric, relatively little policy supporting social rent development specifically has been forthcoming from the Ministry for Housing, Communities and Local Government.  Khan’s consultation document is the first place we have seen some indication of how Labour’s support for an increase in homes for social rent might be realised. Source: MHCLG / FlickrThe consultation document sets out a number of measures to boost the provision of homes for social rent. Something which has been promised at a national level by the housing secretary (pictured), but without much policy detail Full replacement of social rent homes in estate regeneration and a new intermediate tenure Under the existing London Plan, estate regeneration schemes are only required to re-provide demolished social rent homes when the occupiers have a right to return. If there isn’t such a right, the floorspace can be re-provided as either social rent or London Affordable Rent (lower than 80% of market rents). The consultation document suggests that the next London Plan “could require full replacement of social rent homes”, no matter whether or not there is a right to return. As well as prioritising homes for social rent, the consultation document has mooted the introduction of a new intermediate tenure type, which it said was “crucial for middle-income earners including key workers”. The next London Plan “could build on work already done by the mayor and introduce Key Worker Living Rent”, it said. It suggested that this new tenure type could be based on key workers’ incomes, rather than representing a set discount on market rates. Expanding the definition of build to rent Currently, the London Plan specifies build-to-rent schemes (BTR) as comprising at least 50 units. But, according to the consultation document, this limit “does not necessarily need to apply”. It suggests that “if build to rent is to become more important in meeting housing needs, this definition could be expanded to support more diverse types of development”. Source: Daniel GayneSadiq Khan speaking in south-east London last week at the launch of the consultation on the next London Plan It also said that, beyond affordable housing thresholds, there may be “additional models to provide genuinely affordable housing” as part of BTR developments. “These would help meet housing need and align to the delivery and management model”. The consultation also stressed the need to strike the right balance in terms of encouraging other development types, such as co-living and purpose-built student accommodation, without setting out much detail on what the mayor’s team thinks that balance might be. Instead, it sought views on how a reasonable balance could be achieved. Revised policies on density and building height The mayor’s office indicated dissatisfaction with how tall building development is currently being handled across the city, noting that some boroughs had failed to identify suitable areas for tall building.  It suggested that the new plan “could take a more active role in identifying and defining tall building clusters” as well as setting out the building heights that “should be acceptable in principle in all locations across London that share certain characteristics”. It also mooted the possibility of setting a minimum height benchmark and a small site design code across London to support small site development and SMEs. Removal of duplicates between London Plan and national regulations The document identified a “confusing overlap of planning policies and building regulations”, which it proposed to remove. One example was overheating and ventilation, which has been subject to new national building regulation guidance since the last London Plan was published. “One option for the new London Plan could be to remove bespoke policies that cover these issues and rely on national building regulations to deal with ventilation and overheating,” it said. “This would make it simpler for applicants and planning officers to know what is expected from a planning application and support housing delivery.” >> Also read: Bennetts’ timber and straw robotics lab pilots new net zero carbon building standard >> Also read: Alma-nac: Doing architecture for free. Well, sometimes… What is the London Plan? The London Plan is the strategic spatial plan for Greater London, setting out strategy and requirements for homes, transport and other infrastructure. It sets out how the capital should develop over the next 20-25 years. When London boroughs write their own plans, they have to be in “general conformity” with the London Plan. The current plan was published in March 2021. The draft new plan will be published in 2026 for consultation. The new plan will then run from its adoption in 2027 until 2050, with regular updates.  On Friday, the mayor published an initial consultation paper (Towards a New London Plan) featuring proposals that might be included in that draft. It gave a strong indication of his thinking and priorities. The plan also sets housing targets for each borough to achieve, which it bases on where homes might reasonably be built, rather than where local need arises. In other words, London is treated as one big housing market, despite having more than 30 planning authorities.

sillyGecko Member Mar 14, 2025 1,403 View: https://www.youtube.com/watch?v=AVWkOx4Cj6g&ab_channel=GSCGameWorld https://x.com/wario64/status/1922640117723787480?s=46 S.T.A.L.K.E.R.: Legends of the Zone Trilogy Enhanced Edition is a free upgrade to all existing owners of the S.T.A.L.K.E.R.: Legends of the Zone collection on consoles Click to expand... Click to shrink... https://x.com/wario64/status/1922640947340251343?s=46   Last edited: Wednesday at 9:38 AM Patitoloco Member Oct 27, 2017 28,151 wait what Hasn't been this been available for months now?  Reflecting Sky Member Mar 17, 2024 2,634 Patitoloco said: wait what Hasn't been this been available for months now? Click to expand... Click to shrink... Not the Enhanced Edition.  AgentStrange Member Oct 25, 2017 5,009 Slava   Iwao Member Oct 25, 2017 13,671 Patitoloco said: Hasn't been this been available for months now? Click to expand... Click to shrink... Original release was PS4/XB1/Switch.   Rover_ Member Jun 2, 2020 5,421 Very cool! Hoping that this means Stalker 2 for Ps5 soon.  ProdigyZA Member Jun 9, 2024 1,493 "S.T.A.L.K.E.R. trilogy on PC, Xbox, and PlayStation will receive a free upgrade to S.T.A.L.K.E.R.: Legends of the Zone Trilogy Enhanced Edition on May 20, 2025. New shaders, lighting, textures, gamepad support, Steam Deck, Steam Workshop, and more." https://www.stalker-game.com/en/faq   YuSuzzune Member Nov 21, 2018 5,693 Italy I think this should be also free for owners of the original games?   Dest Has seen more 10s than EA ever will Coward Jun 4, 2018 16,019 Work Oh, nice! I was just getting the itch to finally boot these up.   Condwiramurs Member Nov 10, 2020 1,807 Finally on pc, can now do achievements while waiting for stalker2 to get fixed 🥳   Polk Avenger Oct 26, 2017 6,009 YuSuzzune said: I think this should be also free for owners of the original games? Click to expand... Click to shrink... It is.   ThereAreFourNaan Member Nov 8, 2017 15,058 Iwao said: Original release was PS4/XB1/Switch. Click to expand... Click to shrink... I believe it wasn't on PC. Obviously you could buy the original version on pc, but you didn't get controller support / new ui etc.  ProdigyZA Member Jun 9, 2024 1,493 Condwiramurs said: Finally on pc, can now do achievements while waiting for stalker2 to get fixed 🥳 Click to expand... Click to shrink... Achievements are in this release. Edit: sorry read your post wrong.  Nameless Member Oct 25, 2017 17,246 Glad it's free on PC, but hopefully it doesn't completely replace the originals with over a decade of insane mod support.   Duffking Member Oct 27, 2017 6,717 Nice. Controller support will mean I can get CoP on my Deck. Best STALKER.   disgraciau Member Oct 27, 2017 2,078 Ibiza, Balearic Islands, Spain Nameless said: Glad it's free on PC, but hopefully it doesn't completely replace the originals with over a decade of insane mod support. Click to expand... Click to shrink... Originals will still be available  Wollan Mostly Positive Member Oct 25, 2017 9,929 Norway but living in France Forgot it was a PS4 game I was playing last year, game was greatly restored for gamepad and console. Looking forward to this free enhanced upgrade.   Jedi2016 Member Oct 27, 2017 20,043 Nameless said: Glad it's free on PC, but hopefully it doesn't completely replace the originals with over a decade of insane mod support. Click to expand... Click to shrink... They do show up as unique titles, not just DLC for the existing ones. But there's no price on them, just says it'll release next week.   YuSuzzune Member Nov 21, 2018 5,693 Italy Nameless said: Glad it's free on PC, but hopefully it doesn't completely replace the originals with over a decade of insane mod support. Click to expand... Click to shrink... Nah in the faqs they state those are new skus   texhnolyze Shinra Employee Member Oct 25, 2017 26,418 Indonesia Gamepad support on PC! Oh my god..   Mafro Member Oct 25, 2017 9,109 Dual Sense support! I was hoping for that.   bloopland33 Member Mar 4, 2020 3,633 I really hope they update the games for Switch 2 as well   Nameless Member Oct 25, 2017 17,246 disgraciau said: Originals will still be available Click to expand... Click to shrink... Jedi2016 said: They do show up as unique titles, not just DLC for the existing ones. But there's no price on them, just says it'll release next week. Click to expand... Click to shrink... YuSuzzune said: Nah in the faqs they state those are new skus Click to expand... Click to shrink... Glad to hear it. Thanks for confirming.  Stallion Free Member Oct 29, 2017 1,402 So pumped this is happening. Really hope there is solid ultrawide support.   Threadmarks FAQ and system requirements New Index OP OP sillyGecko Member Mar 14, 2025 1,403 New Index Nacery Member Jul 11, 2018 1,828 Damn this is good! Also is this free for existing PC owners? (I wouldn't mind paying for supporting the developers).   OP OP sillyGecko Member Mar 14, 2025 1,403 Nacery said: Damn this is good! Also is this free for existing PC owners? (I wouldn't mind paying for supporting the developers). Click to expand... Click to shrink... Only a free upgrade on consoles if I read correctly   RoboPlato Member Oct 25, 2017 8,373 Damn, lots of visual modes on console. Very cool Yes, the S.T.A.L.K.E.R. Enhanced Edition on consoles will feature different graphical and performance modes to suit player preferences, including a Quality Balanced mode, a Performance mode, and an Ultra Performance mode. Xbox Series X, PlayStation 5, PlayStation 5 Pro: Quality (native 4K/30 FPS), Balanced (upscaled 4K/40 FPS), Performance (upscaled 4K/60 FPS), Ultra Performance (upscaled 2K/120 FPS). Xbox Series S: Quality (native 2K/30 FPS), Balanced (upscaled 2K/40 FPS), Performance (1080p/60 FPS). However, it is important to note that both the Quality Balanced mode and the Ultra Performance mode are exclusively available when using VRR compatible displays Click to expand... Click to shrink...   The Praiseworthy Member Oct 30, 2017 10,409 Good. I bought this last year and was waiting for a native PS5 version to give it another chance.  OP OP sillyGecko Member Mar 14, 2025 1,403 Nacery said: Damn this is good! Also is this free for existing PC owners? (I wouldn't mind paying for supporting the developers). Click to expand... Click to shrink... I did misread, free for PC as well https://x.com/stalker_thegame/status/1922640668674900242?s=46 S.T.A.L.K.E.R. trilogy on PC, Xbox, and PlayStation will receive a free upgrade to S.T.A.L.K.E.R.: Legends of the Zone Trilogy Enhanced Edition on May 20, 2025. New shaders, lighting, textures, gamepad support, Steam Deck, Steam Workshop, and more. Click to expand... Click to shrink...   Kadzork Has got mad skills!! Member Oct 27, 2017 24,119 Oh awesome! I didn't get very far at all in the first game from the PS4 release so will 100% start over with this new version.  Henrar Member Nov 27, 2017 2,504 texhnolyze said: Gamepad support on PC! Oh my god.. Click to expand... Click to shrink... And keyboard support on consoles :P   astroturfing Member Nov 1, 2017 7,556 Suomi Finland so awesome, cant wait to see how the games look and feel on the Pro. 40fps FTW. i still havent actually played a single second of a Stalker game even though i've always wanted to, and i even own a physical PC copy of Call of Pripyat lol. goddamn fucking ridiculous backlog...  Stop It Bad Cat Member Oct 25, 2017 6,767 Day 0, can't wait to get back into the OG games.   Zaro Member Nov 13, 2017 1,786 I'll probably get this on GOG but i hope for Switch 2 in the future.   Bede-x Member Oct 25, 2017 12,006 Finally controller and Steam Deck support on PC. Never wanted to play the original games, because that was lacking.   Randam Member Oct 27, 2017 8,805 Germany is this Stalker 1, 2 or 3?   SweetBellic Member Oct 28, 2017 4,878 Wonder how this free upgrade works if I only have Shadow of Chernobyl on PC. I'd be happy to support the devs and just buy this new trilogy release in any event.   Western Yokai Member Feb 14, 2025 132 This is only for the entire colletion? I only have Shadow of Chornobyl on Steam.   Grimminski Member Oct 27, 2017 11,043 Pittsburgh, Pennsylvania Randam said: is this Stalker 1, 2 or 3? Click to expand... Click to shrink... Yes   Jedi2016 Member Oct 27, 2017 20,043 Western Yokai said: This is only for the entire colletion? I only have Shadow of Chornobyl on Steam. Click to expand... Click to shrink... On PC, they're three separate "Enhanced Editions", there is no "Lengenday collection" or whatever, they've always been three separate titles.   dstarMDA Member Dec 22, 2017 5,243 Randam said: is this Stalker 1, 2 or 3? Click to expand... Click to shrink... This is Stalker 1 and its two follow-ups. Not Stalker 2. Think of it roughly like Assassin's Creed 2, Brotherhood and Revelations, which differ from proper AC3.   Nacery Member Jul 11, 2018 1,828 Stallion Free said: So pumped this is happening. Really hope there is solid ultrawide support. Click to expand... Click to shrink... From the steam FAQ Will the remasters support ultra-wide monitors on PC? Yes, S.T.A.L.K.E.R.: Legends of the Zone Trilogy Enhanced Edition will feature support for ultra-wide monitors on PC. Click to expand... Click to shrink...   Stallion Free Member Oct 29, 2017 1,402 Nacery said: From the steam FAQ Click to expand... Click to shrink... Oh hell yes! Awesome that they called that out specifically.   texhnolyze Shinra Employee Member Oct 25, 2017 26,418 Indonesia Jedi2016 said: On PC, they're three separate "Enhanced Editions", there is no "Lengenday collection" or whatever, they've always been three separate titles. Click to expand... Click to shrink... Huh, interesting. So they will be a free upgrade for each game you own. Like I have shadow and clear sky but not prypiat, so I guess I still have to buy the last one. S.T.A.L.K.E.R.: Shadow of Chornobyl - Enhanced Edition on Steam S.T.A.L.K.E.R.: Shadow of Chornobyl, the first chapter of the Legends of the Zone Trilogy, which started it all. store.steampowered.com S.T.A.L.K.E.R.: Clear Sky - Enhanced Edition on Steam S.T.A.L.K.E.R.: Clear Sky is the prequel chapter of the Legends of the Zone Trilogy. With the ability to directly influence the balance of power through Faction Wars, step into the boots of Scar — a seasoned mercenary, able to somehow survive deadly Emissions. store.steampowered.com S.T.A.L.K.E.R.: Call of Prypiat - Enhanced Edition on Steam S.T.A.L.K.E.R.: Call of Prypiat follows the story of special service agent Major Degtyarev as he investigates the fate of a lost expedition. store.steampowered.com   Jedi2016 Member Oct 27, 2017 20,043 I actually do have all of them, but I've only ever played the original. I picked up all of them over the years in random sales for like $2 apiece.   BizzyBum Member Oct 26, 2017 10,444 New York Condwiramurs said: Finally on pc, can now do achievements while waiting for stalker2 to get fixed 🥳 Click to expand... Click to shrink... Man, what even happened to 2? It had so much hype pre-launch, then it came out pretty buggy which everyone was expecting, and now I feel like I haven't seen or heard anyone talk about it for months. Feels like it disappeared.  texhnolyze Shinra Employee Member Oct 25, 2017 26,418 Indonesia BizzyBum said: Man, what even happened to 2? It had so much hype pre-launch, then it came out pretty buggy which everyone was expecting, and now I feel like I haven't seen or heard anyone talk about it for months. Feels like it disappeared. Click to expand... Click to shrink... They're still fixing the game with wall of text of patch notes every month. They've also just released their roadmap of fixes and improvements for Q2 2025, so there's little to no reason to play it in the current state. The game is still in early access in all but name.  XmarsMayflowerX Member Feb 2, 2025 261 Hell yea. Back to the zone on PC with controller!   ascagnel Member Mar 29, 2018 2,616 BizzyBum said: Man, what even happened to 2? It had so much hype pre-launch, then it came out pretty buggy which everyone was expecting, and now I feel like I haven't seen or heard anyone talk about it for months. Feels like it disappeared. Click to expand... Click to shrink... They're doing major work to the AI systems, because that was the highlight of the old games and fairly lackluster on S2.  

Even though your pile of shame’s already teetering and your backlog is the size of a felled sequoia, who are you and I to resist yet another bargain? Today's gaming treasure trove spans mischievous birds, noir cyborgs, and wizarding wonders, all at prices that’ll have your wallet breathing a sigh of relief. Whether you’re deep in console country or loyal to your trusty PC, there’s a little something here to make your day but ruin your bandwidth.This Day in Gaming 🎂In retro news, I'm lighting a 15-candle cake for WarioWare D.I.Y., one of my favourite Nintendo DS time-wasters. Nintendo essentially handed players the keys to the microgame factory and somehow didn’t burn the place down. Armed with a stylus and too much free time, you could compose janky 8-bit music, draw unhinged sprites, and script chaotic games that lasted all of five seconds but felt like fever dreams. The tutorials starred Wario’s development crew trying (and mostly failing) to teach you game design basics without causing a workplace accident. Honestly, it was less Super Mario Maker and more Mario Paint meets GarageBand on a sugar high. It even let you upload your madness online, meaning no DS cartridge was safe from your homemade horrors. A beautiful, timeless mess.Aussie bdays for notable games- LostWinds (Wii) 2008. eBay- WarioWare D.I.Y. (DS) 2010. eBay- Prince of Persia: Forgotten Sands (PS3,X360) 2010. Get- L.A. Noire (PS3,X360) 2011. Get- Transistor (PC) 2014. Get- Fire Emblem Echoes: SoV (3DS) 2017. SequelsContentsNice Savings for Nintendo SwitchPreorders openNintendo Switch 2 ConsoleRequires a free to make / cancel First Membership that provides free shipping.Nintendo players can dash into Sonic Frontiers for A$49, a sprawling open zone adventure that lets the blue blur stretch his legs like never before. 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A shared language for product teams to build usable, intelligent and safe GenAI experiences beyond just the modelGenerative AI introduces a new way for humans to interact with systems by focusing on intent-based outcome specification. GenAI introduces novel challenges because its outputs are probabilistic, requires understanding of variability, memory, errors, hallucinations and malicious use which brings an essential need to build principles and design patterns as described by IBM.Moreover, any AI product is a layered system where LLM is just one ingredient and memory, orchestration, tool extensions, UX and agentic user-flows builds the real magic!This article is my research and documentation of evolving GenAI design patterns that provide a shared language for product managers, data scientists, and interaction designers to create products that are human-centred, trustworthy and safe. By applying these patterns, we can bridge the gap between user needs, technical capabilities and product development process.Here are 21 GenAI UX patternsGenAI or no GenAIConvert user needs to data needsAugment or automateDefine level of automationProgressive AI adoptionLeverage mental modelsConvey product limitsDisplay chain of thought (CoT)Leverage multiple outputsProvide data sourcesConvey model confidenceDesign for memory and recallProvide contextual input parametersDesign for coPilot, co-Editing or partial automationDefine user controls for AutomationDesign for user input error statesDesign for AI system error statesDesign to capture user feedbackDesign for model evaluationDesign for AI safety guardrailsCommunicate data privacy and controls1. GenAI or no GenAIEvaluate whether GenAI improves UX or introduces complexity. Often, heuristic-based (IF/Else) solutions are easier to build and maintain.Scenarios when GenAI is beneficialTasks that are open-ended, creative and augments user.E.g., writing prompts, summarizing notes, drafting replies.Creating or transforming complex outputs (e.g., images, video, code).E.g., converting a sketch into website code.Where structured UX fails to capture user intent.Scenarios when GenAI should be avoidedOutcomes that must be precise, auditable or deterministic. E.g., Tax forms or legal contracts.Users expect clear and consistent information.E.g. Open source software documentationHow to use this patternDetermine the friction points in the customer journeyAssess technology feasibility: Determine if AI can address the friction point. Evaluate scale, dataset availability, error risk assessment and economic ROI.Validate user expectations: - Determine if the AI solution erodes user expectations by evaluating whether the system augments human effort or replaces it entirely, as outlined in pattern 3, Augment vs. automate. - Determine if AI solution erodes pattern 6, Mental models2. Convert user needs to data needsThis pattern ensures GenAI development begins with user intent and data model required to achieve that. GenAI systems are only as good as the data they’re trained on. But real users don’t speak in rows and columns, they express goals, frustrations, and behaviours. If teams fail to translate user needs into structured, model-ready inputs, the resulting system or product may optimise for the wrong outcomes and thus user churn.How to use this patternCollaborate as a cross-functional team of PMs, Product designers and Data Scientists and align on user problems worth solving.Define user needs by using triangulated research: Qualitative (Market Reports, Surveys or Questionnaires) + Quantitative (User Interviews, Observational studies) + Emergent (Product reviews, Social listening etc.) and synthesising user insights using JTBD framework, Empathy Map to visualise user emotions and perspectives. Value Proposition Canvas to align user gains and pains with featuresDefine data needs and documentation by selecting a suitable data model, perform gap analysis and iteratively refine data model as needed. Once you understand the why, translate it into the what for the model. What features, labels, examples, and contexts will your AI model need to learn this behaviour? Use structured collaboration to figure out.3. Augment vs automateOne of the critical decisions in GenAI apps is whether to fully automate a task or to augment human capability. Use this pattern to to align with user intent and control preferences with the technology.Automation is best for tasks users prefer to delegate especially when they are tedious, time-consuming or unsafe. E.g., Intercom FinAI automatically summarizes long email threads into internal notes, saving time on repetitive, low-value tasks.Augmentation enhances tasks users want to remain involved in by increasing efficiency, increase creativity and control. E.g., Magenta Studio in Abelton support creative controls to manipulate and create new music.How to use this patternTo select the best approach, evaluate user needs and expectations using research synthesis tools like empathy map (visualise user emotions and perspectives) and value proposition canvas (to understand user gains and pains)Test and validate if the approach erodes user experience or enhances it.4. Define level of automationIn AI systems, automation refers to how much control is delegated to the AI vs user. This is a strategic UX pattern to decide degree of automation based upon user pain-point, context scenarios and expectation from the product.Levels of automationNo automation (AI assists but user decides)The AI system provides assistance and suggestions to the user but requires the user to make all the decisions. E.g., Grammarly highlights grammar issues but the user accepts or rejects corrections.Partial automation/ co-pilot/ co-editor (AI acts with user oversight)The AI initiates actions or generates content, but the user reviews or intervenes as needed. E.g., GitHub Copilot suggest code that developers can accept, modify, or ignore.Full automation (AI acts independently)The AI system performs tasks without user intervention, often based on predefined rules, tools and triggers. Full automation in GenAI are often referred to as Agentic systems. E.g., Ema can autonomously plan and execute multi-step tasks like researching competitors, generating a report and emailing it without user prompts or intervention at each step.How to use this patternEvaluate user pain point to be automated and risk involved: Automating tasks is most effective when the associated risk is low without severe consequences in case of failure. Low-risk tasks such as sending automated reminders, promotional emails, filtering spam emails or processing routine customer queries can be automated with minimal downside while saving time and resources. High-risk tasks such as making medical diagnoses, sending business-critical emails, or executing financial trades requires careful oversight due to the potential for significant harm if errors occur.Evaluate and design for particular automation level: Evaluate if user pain point should fall under — No Automation, Partial Automation or Full Automation based upon user expectations and goals.Define user controls for automation (refer pattern 15)5. Progressive GenAI adoptionWhen users first encounter a product built on new technology, they often wonder what the system can and can’t do, how it works and how they should interact with it.This pattern offers multi-dimensional strategy to help user onboard an AI product or feature, mitigate errors, aligns with user readiness to deliver an informed and human-centered UX.How to use this patternThis pattern is a culmination of many other patternsFocus on communicating benefits from the start: Avoid diving into details about the technology and highlight how the AI brings new value.Simplify the onboarding experience Let users experience the system’s value before asking data-sharing preferences, give instant access to basic AI features first. Encourage users to sign up later to unlock advanced AI features or share more details. E.g., Adobe FireFly progressively onboards user with basic to advance AI featuresDefine level of automation (refer pattern 4) and gradually increase autonomy or complexity.Provide explainability and trust by designing for errors (refer pattern 16 and 17).Communicate data privacy and controls (refer pattern 21) to clearly convey how user data is collected, stored, processed and protected.6. Leverage mental modelsMental models help user predict how a system (web, application or other kind of product) will work and, therefore, influence how they interact with an interface. When a product aligns with a user’s existing mental models, it feels intuitive and easy to adopt. When it clashes, it can cause frustration, confusion, or abandonment​.E.g. Github Copilot builds upon developers’ mental models from traditional code autocomplete, easing the transition to AI-powered code suggestionsE.g. Adobe Photoshop builds upon the familiar approach of extending an image using rectangular controls by integrating its Generative Fill feature, which intelligently fills the newly created space.How to use this patternIdentifying and build upon existing mental models by questioningWhat is the user journey and what is user trying to do?What mental models might already be in place?Does this product break any intuitive patterns of cause and effect?Are you breaking an existing mental model? If yes, clearly explain how and why. Good onboarding, microcopy, and visual cues can help bridge the gap.7. Convey product limitsThis pattern involves clearly conveying what an AI model can and cannot do, including its knowledge boundaries, capabilities and limitations.It is helpful to builds user trust, sets appropriate expectations, prevents misuse, and reduces frustration when the model fails or behaves unexpectedly.How to use this patternExplicitly state model limitations: Show contextual cues for outdated knowledge or lack of real-time data. E.g., Claude states its knowledge cutoff when the question falls outside its knowledge domainProvide fallbacks or escalation options when the model cannot provide a suitable output. E.g., Amazon Rufus when asked about something unrelated to shopping, says “it doesn’t have access to factual information and, I can only assists with shopping related questions and requests”Make limitations visible in product marketing, onboarding, tooltips or response disclaimers.8. Display chain of thought (CoT)In AI systems, chain-of-thought (CoT) prompting technique enhances the model’s ability to solve complex problems by mimicking a more structured, step-by-step thought process like that of a human.CoT display is a UX pattern that improves transparency by revealing how the AI arrived at its conclusions. This fosters user trust, supports interpretability, and opens up space for user feedback especially in high-stakes or ambiguous scenarios.E.g., Perplexity enhances transparency by displaying its processing steps helping users understand the thoughtful process behind the answers.E.g., Khanmigo an AI Tutoring system guides students step-by-step through problems, mimicking human reasoning to enhance understanding and learning.How to use this patternShow status like “researching” and “reasoning to communicate progress, reduce user uncertainty and wait times feel shorter.Use progressive disclosure: Start with a high-level summary, and allow users to expand details as needed.Provide AI tooling transparency: Clearly display external tools and data sources the AI uses to generate recommendations.Show confidence & uncertainty: Indicate AI confidence levels and highlight uncertainties when relevant.9. Leverage multiple outputsGenAI can produce varied responses to the same input due to its probabilistic nature. This pattern exploits variability by presenting multiple outputs side by side. Showing diverse options helps users creatively explore, compare, refine or make better decisions that best aligns with their intent. E.g., Google Gemini provides multiple options to help user explore, refine and make better decisions.How to use this patternExplain the purpose of variation: Help users understand that differences across outputs are intentional and meant to offer choice.Enable edits: Let users rate, select, remix, or edit outputs seamlessly to shape outcomes and provide feedback. E.g., Midjourney helps user adjust prompt and guide your variations and edits using remix10. Provide data sourcesArticulating data sources in a GenAI application is essential for transparency, credibility and user trust. Clearly indicating where the AI derives its knowledge helps users assess the reliability of responses and avoid misinformation.This is especially important in high stakes factual domains like healthcare, finance or legal guidance where decisions must be based on verified data.How to use this patternCite credible sources inline: Display sources as footnotes, tooltips, or collapsible links. E.g., NoteBookLM adds citations to its answers and links each answer directly to the part of user’s uploaded documents.Disclose training data scope clearly: For generative tools (text, images, code), offer a simple explanation of what data the model was trained on and what wasn’t included. E.g., Adobe Firefly discloses that its Generative Fill feature is trained on stock imagery, openly licensed work and public domain content where the copyright has expired.Provide source-level confidence:In cases where multiple sources contribute, visually differentiate higher-confidence or more authoritative sources.11. Convey model confidenceAI-generated outputs are probabilistic and can vary in accuracy. Showing confidence scores communicates how certain the model is about its output. This helps users assess reliability and make better-informed decisions.How to use this patternAssess context and decision stakes: Showing model confidence depends on the context and its impact on user decision-making. In high-stakes scenarios like healthcare, finance or legal advice, displaying confidence scores are crucial. However, in low stake scenarios like AI-generated art or storytelling confidence may not add much value and could even introduce unnecessary confusion.Choose the right visualization: If design research shows that displaying model confidence aids decision-making, the next step is to select the right visualization method. Percentages, progress bars or verbal qualifiers (“likely,” “uncertain”) can communicate confidence effectively. The apt visualisation method depends on the application’s use-case and user familiarity. E.g., Grammarly uses verbal qualifiers like “likely” to the content it generated along with the userGuide user action during low confidence scenarios: Offer paths forward such as asking clarifying questions or offering alternative options.12. Design for memory and recallMemory and recall is an important concept and design pattern that enables the AI product to store and reuse information from past interactions such as user preferences, feedback, goals or task history to improve continuity and context awareness.Enhances personalization by remembering past choices or preferencesReduces user burden by avoiding repeated input requests especially in multi-step or long-form tasksSupports complex tasks like longitudinal workflows like in project planning, learning journeys by referencing or building on past progress.Memory used to access information can be ephemeral (short-term within a session) or persistent (long-term across sessions) and may include conversational context, behavioural signals, or explicit inputs.How to use this patternDefine the user context and choose memory typeChoose memory type like ephemeral or persistent or both based upon use case. A shopping assistant might track interactions in real time without needing to persist data for future sessions whereas personal assistants need long-term memory for personalization.Use memory intelligently in user interactionsBuild base prompts for LLM to recall and communicate information contextually (E.g., “Last time you preferred a lighter tone. Should I continue with that?”).Communicate transparency and provide controlsClearly communicate what’s being saved and let users view, edit or delete stored memory. Make “delete memories” an accessible action. E.g. ChatGPT offers extensive controls across it’s platform to view, update, or delete memories anytime.13. Provide contextual input parametersContextual Input parameters enhance the user experience by streamlining user interactions and gets to user goal faster. By leveraging user-specific data, user preferences or past interactions or even data from other users who have similar preferences, GenAI system can tailor inputs and functionalities to better meet user intent and decision making.How to use this patternLeverage prior interactions: Pre-fill inputs based on what the user has previously entered. Refer pattern 12, Memory and recall.Use auto complete or smart defaults: As users type, offer intelligent, real-time suggestions derived from personal and global usage patterns. E.g., Perplexity offers smart next query suggestions based on your current query thread.Suggest interactive UI widgets: Based upon system prediction, provide tailored input widgets like toasts, sliders, checkboxes to enhance user input. E.g., ElevenLabs allows users to fine-tune voice generation settings by surfacing presets or defaults.14. Design for co-pilot / co-editing / partial automationCo-pilot is an augmentation pattern where AI acts as a collaborative assistant, offering contextual and data-driven insights while the user remains in control. This design pattern is essential in domains like strategy, ideating, writing, designing or coding where outcomes are subjective, users have unique preferences or creative input from the user is critical.Co-pilot speed up workflows, enhance creativity and reduce cognitive load but the human retains authorship and final decision-making.How to use this patternEmbed inline assistance: Place AI suggestions contextually so users can easily accept, reject or modify them. E.g., Notion AI helps you draft, summarise and edit content while you control the final version.Save user intent and creative direction: Let users guide the AI with input like goals, tone, or examples, maintaining authorship and creative direction. E.g., Jasper AI allows users to set brand voice and tone guidelines, helping structure AI output to better match the user’s intent.15. Design user controls for automationBuild UI-level mechanisms that let users manage or override automation based upon user goals, context scenarios or system failure states.No system can anticipate all user contexts. Controls give users agency and keep trust intact even when the AI gets it wrong.How to use this patternUse progressive disclosure: Start with minimal automation and allow users to opt into more complex or autonomous features over time. E.g., Canva Magic Studio starts with simple AI suggestions like text or image generation then gradually reveals advanced tools like Magic Write, AI video scenes and brand voice customisation.Give users automation controls: UI controls like toggles, sliders, or rule-based settings to let users choose when and how automation can be controlled. E.g., Gmail lets users disable Smart Compose.Design for automation error recovery: Give users correction when AI fails (false positives/negatives). Add manual override, undo, or escalate options to human support. E.g., GitHub Copilot suggests code inline, but developers can easily reject, modify or undo suggestions when output is off.16. Design for user input error statesGenAI systems often rely on interpreting human input. When users provide ambiguous, incomplete or erroneous information, the AI may misunderstand their intent or produce low-quality outputs.Input errors often reflect a mismatch between user expectations and system understanding. Addressing these gracefully is essential to maintain trust and ensure smooth interaction.How to use this patternHandle typos with grace: Use spell-checking or fuzzy matching to auto-correct common input errors when confidence is high (e.g., >80%), and subtly surface corrections (“Showing results for…”).Ask clarifying questions: When input is too vague or has multiple interpretations, prompt the user to provide missing context. In Conversation Design, these types of errors occur when the intent is defined but the entity is not clear. Know more about entity and intent. E.g., ChatGPT when given low-context prompts like “What’s the capital?”, it asks follow-up questions rather than guessing.Support quick correction: Make it easy for users to edit or override your interpretation. E.g., ChatGPT displays an edit button beside submitted prompts, enabling users to revise their input17. Design for AI system error statesGenAI outputs are inherently probabilistic and subject to errors ranging from hallucinations and bias to contextual misalignments.Unlike traditional systems, GenAI error states are hard to predict. Designing for these states requires transparency, recovery mechanisms and user agency. A well-designed error state can help users understand AI system boundaries and regain control.A Confusion matrix helps analyse AI system errors and provides insight into how well the model is performing by showing the counts of - True positives (correctly identifying a positive case) - False positives (incorrectly identifying a positive case) - True negatives (correctly identifying a negative case)- False negatives (failing to identify a negative case)Scenarios of AI errors and failure statesSystem failure (wrong output)False positives or false negatives occur due to poor data, biases or model hallucinations. E.g., Citibank financial fraud system displays a message “Unusual transaction. Your card is blocked. If it was you, please verify your identity”System limitation errors (no output)True negatives occur due to untrained use cases or gaps in knowledge. E.g., when an ODQA system is given a user input outside the trained dataset, throws the following error “Sorry, we don’t have enough information. Please try a different query!”Contextual errors (misunderstood output)True positives that confuse users due to poor explanations or conflicts with user expectations comes under contextual errors. E.g., when user logs in from a new device, gets locked out. AI responds: “Your login attempt was flagged for suspicious activity”How to use this patternCommunicate AI errors for various scenarios: Use phrases like “This may not be accurate”, “This seems like…” or surface confidence levels to help calibrate trust.Use pattern convey model confidence for low confidence outputs.Offer error recovery: Incase of System failure or Contextual errors, provide clear paths to override, retry or escalate the issue. E.g., Use way forwards like “Try a different query,” or “Let me refine that.” or “Contact Support”.Enable user feedback: Make it easy to report hallucinations or incorrect outputs. Read more about pattern 19. Design to capture user feedback.18. Design to capture user feedbackReal-world alignment needs direct user feedback to improve the model and thus the product. As people interact with AI systems, their behaviours shape and influence the outputs they receive in the future. Thus, creating a continuous feedback loop where both the system and user behaviour adapt over time. E.g., ChatGPT uses Reaction buttons and Comment boxes to collect user feedback.How to use this patternAccount for implicit feedback: Capture user actions such as skips, dismissals, edits, or interaction frequency. These passive signals provide valuable behavioral cues that can tune recommendations or surface patterns of disinterest.Ask for explicit feedback: Collect direct user input through thumbs-up/down, NPS rating widgets or quick surveys after actions. Use this to improve both model behavior and product fit.Communicate how feedback is used: Let users know how their feedback shapes future experiences. This increases trust and encourages ongoing contribution.19. Design for model evaluationRobust GenAI models require continuous evaluation during training as well as post-deployment. Evaluation ensures the model performs as intended, identify errors and hallucinations and aligns with user goals especially in high-stakes domains.How to use this patternThere are three key evaluation methods to improve ML systems.LLM based evaluations (LLM-as-a-judge) A separate language model acts as an automated judge. It can grade responses, explain its reasoning and assign labels like helpful/harmful or correct/incorrect.E.g., Amazon Bedrock uses the LLM-as-a-Judge approach to evaluate AI model outputs.A separate trusted LLM, like Claude 3 or Amazon Titan, automatically reviews and rates responses based on helpfulness, accuracy, relevance, and safety. For instance, two AI-generated replies to the same prompt are compared, and the judge model selects the better one.This automation reduces evaluation costs by up to 98% and speeds up model selection without relying on slow, expensive human reviews.Enable code-based evaluations: For structured tasks, use test suites or known outputs to validate model performance, especially for data processing, generation, or retrieval.Capture human evaluation: Integrate real-time UI mechanisms for users to label outputs as helpful, harmful, incorrect, or unclear. Read more about it in pattern 19. Design to capture user feedbackA hybrid approach of LLM-as-a-judge and human evaluation drastically boost accuracy to 99%.20. Design for AI guardrailsDesign for AI guardrails means building practises and principles in GenAI models to minimise harm, misinformation, toxic behaviour and biases. It is a critical consideration toProtect users and children from harmful language, made-up facts, biases or false information.Build trust and adoption: When users know the system avoids hate speech and misinformation, they feel safer and show willingness to use it often.Ethical compliance: New rules like the EU AI act demand safe AI design. Teams must meet these standards to stay legal and socially responsible.How to use this patternAnalyse and guide user inputs: If a prompt could lead to unsafe or sensitive content, guide users towards safer interactions. E.g., when Miko robot comes across profanity, it answers“I am not allowed to entertain such language”Filter outputs and moderate content: Use real-time moderation to detect and filter potentially harmful AI outputs, blocking or reframing them before they’re shown to the user. E.g., show a note like: “This response was modified to follow our safety guidelines.Use pro-active warnings: Subtly notify users when they approach sensitive or high stakes information. E.g., “This is informational advice and not a substitute for medical guidance.”Create strong user feedback: Make it easy for users to report unsafe, biased or hallucinated outputs to directly improve the AI over time through active learning loops. E.g., Instagram provides in-app option for users to report harm, bias or misinformation.Cross-validate critical information: For high-stakes domains (like healthcare, law, finance), back up AI-generated outputs with trusted databases to catch hallucinations. Refer pattern 10, Provide data sources.21. Communicate data privacy and controlsThis pattern ensures GenAI applications clearly convey how user data is collected, stored, processed and protected.GenAI systems often rely on sensitive, contextual, or behavioral data. Mishandling this data can lead to user distrust, legal risk or unintended misuse. Clear communication around privacy safeguards helps users feel safe, respected and in control. E.g., Slack AI clearly communicates that customer data remains owned and controlled by the customer and is not used to train Slack’s or any third-party AI modelsHow to use this patternShow transparency: When a GenAI feature accesses user data, display explanation of what’s being accessed and why.Design opt-in and opt-out flows: Allow users to easily toggle data sharing preferences.Enable data review and deletion: Allow users to view, download or delete their data history giving them ongoing control.ConclusionThese GenAI UX patterns are a starting point and represent the outcome of months of research, shaped directly and indirectly with insights from notable designers, researchers, and technologists across leading tech companies and the broader AI communites across Medium and Linkedin. I have done my best to cite and acknowledge contributors along the way but I’m sure I’ve missed many. If you see something that should be credited or expanded, please reach out.Moreover, these patterns are meant to grow and evolve as we learn more about creating AI that’s trustworthy and puts people first. If you’re a designer, researcher, or builder working with AI, take these patterns, challenge them, remix them and contribute your own. Also, please let me know in comments about your suggestions. If you would like to collaborate with me to further refine this, please reach out to me.20+ GenAI UX patterns, examples and implementation tactics was originally published in UX Collective on Medium, where people are continuing the conversation by highlighting and responding to this story.

Researchers across Taiwan are tackling complex challenges in AI development, climate science and quantum computing. Their work will soon be boosted by a new supercomputer at Taiwan’s National Center for High-Performance Computing that’s set to deliver over 8x more AI performance than the center’s earlier Taiwania 2 system. The AI supercomputer at NCHC is slated to feature NVIDIA HGX H200 systems with over 1,700 GPUs, two NVIDIA GB200 NVL72 rack-scale systems and an NVIDIA HGX B300 system built on the NVIDIA Blackwell Ultra platform — interconnected by NVIDIA Quantum InfiniBand networking. Announced today at COMPUTEX, it’s expected to go live later this year. NCHC also plans to deploy a set of NVIDIA DGX Spark personal AI supercomputers and a cluster of NVIDIA HGX systems in the cloud. Researchers from academic institutions, government agencies and small businesses in Taiwan will be able to apply for access to the new system to accelerate innovative projects. “The new NCHC supercomputer will drive breakthroughs in sovereign AI, quantum computing and advanced scientific computation,” said Chau-Lyan Chang, director general of NCHC. “It’s designed to empower Taiwan’s technological autonomy, fostering cross-domain collaboration and global AI leadership.” Developing Local Language Models for Sovereign AI The new supercomputer will support projects like Taiwan AI RAP, a generative AI application development platform. Taiwan AI RAP aims to support the rapid development of AI products by offering startups, researchers and enterprises access to customized models that reflect local cultural and linguistic nuances. Among the platform’s offerings are models created by Taiwan’s Trustworthy AI Dialogue Engine, or TAIDE — a public sector initiative to build Taiwanese large language models (LLMs) for tasks including natural language processing, intelligent customer service and translation. Collaborators providing text, images, audio and video data for the initiative include local governments, news organizations and public departments such as the Ministry of Education and Ministry of Culture. To support the creation of sovereign AI applications, TAIDE currently offers developers access to a collection of Llama3.1-TAIDE foundation models. The team is building additional sovereign AI LLM services using NVIDIA Nemotron models. A professor at National Tainan University is using the TAIDE model to power a conversational AI robot that speaks Taiwanese and English with elementary and middle school students. It’s been used by over 2,000 students, teachers and parents to date. Another professor tapped the model to generate high-quality educational materials, shortening lesson preparation time for teachers. In healthcare, research teams in Taiwan used the TAIDE model to develop an AI chatbot with retrieval-augmented generation that helps case managers deliver timely, accurate medical information to patients with major injuries and illnesses. And the Epidemic Prevention Center at Taiwan’s Centers for Disease Control is training the model to generate news summaries to support the tracking and prevention of how diseases spread. Speeding Scientific Research in Climate and Beyond In climate research, NCHC supports researchers using the NVIDIA Earth-2 platform to advance atmospheric science. These researchers are tapping Earth-2’s CorrDiff AI model to sharpen the precision of coarse-resolution weather models, and DeepMind’s GraphCast model in NVIDIA PhysicsNeMo for global weather forecasting. They’re also adopting the NVIDIA NIM microservice for FourCastNet, an NVIDIA model that predicts global atmospheric dynamics of weather and climate variables, and using NVIDIA GPUs to accelerate the simulation of numerical weather prediction models. With the new supercomputer, the researchers will be able to run more complex simulations and accelerate the pace of AI training and inference. Advancing Quantum Innovation  NCHC researchers are also advancing quantum research using the NVIDIA CUDA-Q platform and NVIDIA cuQuantum library targeting applications in quantum machine learning, chemistry, finance, cryptography and more. The research institute has developed Quantum Molecular Generator, a tool that generates valid chemical molecules, using quantum circuits and the CUDA-Q platform. It’s also created cuTN-QSVM, an open-source tool built on the cuQuantum library that accelerates large-scale quantum circuit simulations. The tool enables researchers to tackle more complex problems, offering linear scalability and supporting hybrid quantum computing systems to help accelerate the development of large-scale quantum algorithms. NCHC researchers recently used cuTN-QSVM to perform a record-breaking 784-qubit simulation for a quantum machine learning algorithm. The institute also plans to build a hybrid quantum-accelerated computing system by integrating NVIDIA DGX Quantum systems. Learn more about Taiwan’s National Center for High-Performance Computing at NVIDIA GTC Taipei, taking place May 21-22. Watch the COMPUTEX keynote by NVIDIA founder and CEO Jensen Huang.

Credit: Hypershell X Every weekend warrior knows the drill — you sit in front of a computer all week, and when the weekend hits, you bike, hike, and run yourself ragged. Your body feels destroyed on Monday. Repeat.If this sounds like you — or even if you’re a casual exerciser who wants to walk and bike longer distances without getting tired — the future has arrived. The world’s first-ever outdoor exoskeleton, Hypershell X, can help max out your physical abilities with minimal effort.Hypershell X is causing a buzz among both outdoorsy types and robotics enthusiasts, and it won the Best of Innovation in Robotics award at CES 2025.The cyborg-looking device fits like a second skin over your legs and provides up to 800 watts of power, helping you raise your legs and increasing strength up to 40 percent. Whether you’re walking, running, cycling, climbing stairs, or mountaineering, the device’s motor utilizes AI to adapt to your movements in real time, intuitively. Opens in a new window Credit: Hypershell Hypershell X Series From $999 Basically, you feel like yourself, only stronger. Welcome to the future of wearable roboticsThe Hypershell X may look like a sci-fi fantasy device, but you’ll barely feel it while you’re wearing it. Just buckle on the "fanny pack", which also houses the removable and rechargeable battery, and the ergonomic hip levers fit down your legs and are secured by soft straps above your knees. Power the device up via the exoskeleton’s one-touch button, and the M-One motor kicks in, reducing your leg’s physical exertion by up to 30 percent. Mashable Light Speed Want more out-of-this world tech, space and science stories? Sign up for Mashable's weekly Light Speed newsletter. By clicking Sign Me Up, you confirm you are 16+ and agree to our Terms of Use and Privacy Policy. Thanks for signing up! Credit: Hypershell The device itself weighs under five pounds and nicely folds up to fit into your backpack. It can go up to almost 11 miles on one charge, works in temperatures as low as minus-4 degrees Fahrenheit, and the exoskeleton is fully adjustable (think of your over-ear headphones, but with more moving parts) and accommodates different body types.In addition, Hypershell X can offset up to 66 pounds of weight, which is a huge bonus for adventurers who carry packs full of heavy gear.The AI algorithm syncs to your movementsThe Hypershell X uses a combination of AI algorithms, advanced sensors, and robotics to adjust and sync with your movements, so every step feels natural and effortless. The device might even feel different from day to day as it gets to know you, or as you get stronger, which is pretty cool. Credit: Hypershell As for the mobile app, you can use it to fine-tune your movement customizations, track your stats, and watch tutorials — or you can just pack your phone away and enjoy the great outdoors, using the exoskeleton’s button to adjust power levels whenever you want.Like other devices, the Hypershell X also receives firmware updates. One recent update includes multi-user device access, because you know all of your friends are going to want to take it for a spin.Which Hypershell X is right for you?The Hypershell X comes in three different models — the Go X, Pro X, and Carbon X — and each model varies in build material, power, battery range, and price.The least expensive Go X might be a good choice for biking to the park and less demanding activities such as day hikes, as it delivers 400 watts of power at peak output. The Pro X, on the other hand, can deliver twice the power output of the Go X, making it a solid choice for bike commuters, weekend warriors, and moving into your fifth-floor walkup. Last in the Hypershell X lineup, the Carbon X delivers 800 watts of peak power and is the lightest of the three models. It’s a great pick for people who pack in gear such as cameras and camping stoves and want to conquer mountains.Whether you’re facing gnarly hiking trails, long distances, or just biking around town, the new Hypershell X exoskeleton will boost your leg strength so you can go farther with less effort — and less wear on your body.

Elon Musk's well-documented drug use made him an easy target for Russian secret service agents, former FBI agent Johnathan Buma told German television broadcaster ZDF during a recently aired documentary.Buma said there was evidence that both he and fellow billionaire Peter Thiel were targeted by Russian operatives."Musk's susceptibility to promiscuous women and drug use, in particular ketamine, and his gravitation towards club life... would have been seen by Russian intelligence service as an entry point for an operative to be sent in after studying their psychological profile and find a way to bump into them, and quickly brought in to their inner circle," Buma told ZDF."I'm not allowed to discuss the details of exactly how we obtained this information," he added. "But there's a vast amount of evidence to support this fact."Buma also corroborated the Wall Street Journal's reporting last year, which found that Musk was in frequent contact with Russian president Vladimir Putin.The news comes after Musk made a notable shift in 2022 after supplying Ukraine with thousands of SpaceX Starlink terminals. However, not long after, the mercurial CEO became wary of the additional costs his space firm was shouldering, arguing it was "unreasonable" for the company to keep supporting the growing data usage.He reportedly met with Putin several times thereafter, something Musk has since denied.Biographer Walter Isaacson's 2023 Musk biography also revealed that he had intentionally hamstrung a Ukrainian attack on Russia's naval fleet near the Crimean coast.Meanwhile, Musk's ample medicinal and recreational use of ketamine has drawn plenty of attention. Earlier this year, The Atlantic reported that the drug could easily allow anybody to feel like they're in charge of the whole world.Psychopharmacology researcher Celia Morgan told the magazine at the time that those who frequently use ketamine can have "profound" short- and long-term memory issues and were "distinctly dissociated in their day-to-day existence."In other words, it could provide Russian agents with a perfect opportunity to get closer to Musk, as Buma suggests.It's a particularly sensitive subject. Buma was arrested shortly after his interview with ZDF in March. His passport was confiscated and was temporarily released on bail.To Buma, it's the "greatest failing" of the United States' counterespionage efforts.Despite his popularity dropping off a cliff due to his embrace of far-right extremist ideals and his work for the so-called Department of Government Efficiency, Musk maintains plenty of influence in Washington, DC.Earlier this month, he traveled to the Middle East alongside president Donald Trump, meeting Qatari officials and dozens of CEOs.The former FBI agent's comments leave plenty of questions unanswered. Does Putin's spy agency have dirt on the mercurial CEO? Could they be blackmailing him?Put simply, could Musk really be compromised?Considering the stakes, it's unlikely we'll ever get any clear-cut answers. But given his penchant for partying and using mind-altering drugs, he's certainly not the most difficult target to get close to for foreign operatives.More on Musk: Elon Musk’s AI Just Went ThereShare This Article