Far Cry Arcade's map-making tools have already been put to good use. Mythic Counter-Strike map de_dust2 now exists in Far Cry Arcade's competitive multiplayer map pool, an impressive recreation by user Izoolee. Have a look for yourself in the video below, in which YouTuber Widdz plays a match on the custom map. You can see him look for the usual sightlines and, impressively, most of them are there. 

While you can't play the usual bomb-defusing objective mode, team deathmatch with Far Cry's showy arsenal turns de_dust2 into a much more lighthearted romp. Still, scream 'Rush B!' to your heart's content. Dust 2 just isn't the same without it.

If you're away from your PC and want to try the map for yourself later, you can save it to play for later from any web browser. Just head to the de_dust2 level page, log in, and hit the' Favorite' icon. 

All popular multiplayer games fight never-ending battles against cheaters. But as Counter-Strike: Global Offensive rose in 2014 to become the most-played FPS in the world, a few things made it particularly susceptible to hacking. 

As the 10th game released on Source (and the third mainline CS), there were already piles of knowledge on how to tamper with Valve's engine. Hacks built for ancient stuff like Half-Life 2: Deathmatch could, with a few minutes' tweaking, perhaps function in CS:GO (although Valve says they'd be trivial to detect). Design-wise, the traits that make CS:GO a skillful game of angles and accuracy also make cheats more effective. Weapons are highly lethal, so putting those guns in the hands of aimbots makes them even more devastating. And CS:GO's focus on information and stealth means that knowing the location of your opponent is invaluable—fertile ground for wallhacks.

CS:GO's fight against hackers is "important, valuable work" according to Valve, but if you've played the FPS, you may have noticed a couple years ago that things were beginning to get dramatically better. Not only did Reddit complaints and frustrated replay clips of cheaters seem to circulate less frequently, but the perception of cheating—as hazardous as anything to a competitive game's health—seemed to dissipate. We published stories of high-profile bans, along with news of thousands of cheaters getting banned in single waves. How was Valve purging most of these jerks?

In one of the only in-depth moments of transparency on this topic, Valve programmer John McDonald spoke at the Game Developers Conference last week in San Francisco about how he and Valve used deep learning techniques to address CS:GO's cheating problem. This approach has been so effective that Valve is now using deep learning on "a bunch of problems," from anti-fraud to aspects of Dota 2, and Valve is actively looking for other studios to work with on implementing their deep learning anti-cheat solution in other games on Steam.

Solving CS:GO's cheating problem

While between projects sometime in 2016, McDonald noticed that "The only thing the community was talking about was cheating," based on online discussion and a private email address that received mail from CS:GO pros. "It was this, just, deafening conversation," he says. The uptick in VAC bans around this period, McDonald says, supported what Valve was hearing.

To combat the issue, Valve and McDonald looked to deep learning, a solution that had the potential to operate and adapt over time to new cheating techniques—attractive traits to Valve, which has historically elected to automate aspects of Steam rather than hire hundreds of new employees to tackle issues like curation. What Valve created is known as VACnet, a project that represents about a year of work. 

VACnet works alongside Overwatch, CS:GO's player-operated replay tool for evaluating players who have been reported for bad behavior. VACnet isn't a new form of VAC, the client and server-side tech that Valve's used for years to identify, say, when someone's running a malicious program alongside a game. VACnet is a new, additional system that uses deep learning to analyze players' in-game behavior, learn what cheats look like, and then spot and ban hackers based on a dynamic criteria.

McDonald says that "subtle" cheats remain difficult to solve, but in building VACnet, Valve decided to target aimbots first because they present themselves at specific, easily-definable points during rounds of CS:GO: when you're shooting. This allowed Valve to build a system that captured the changes in pitch (Y-axis) and yaw (X-axis)—degree measurements in a player's perspective—a half a second before a shot, and a quarter second after. This data, along with other pieces of information like what weapon the player is using, their distance, the result of the shot (hit, miss, headshot?) are the individual 'data particles' that together form what Valve calls "atoms," essentially a data package that describes each shot. 

VACnet can't necessarily spot a cheater based on one atom, though. "We need a sequence of them, what we actually want is 140 of them, or at least that's what the model uses right now … We just take the 140 out of an eight round window and we stuff those into the model, and we're like, 'Hey, if you were to present this sequence of 140 shots to a [human] juror, what is the likelihood you would get a conviction?'"

Pretty good, as it turns out. Both players and VACnet report players for judgment in Overwatch. But when VACnet reports a suspected cheater, they're almost always a cheater.

"When a human submits a case to Overwatch, the likelihood that they get a conviction is only 15-30 percent, and that varies on a bunch of factors, like the time of the year, is the game on sale, is it spring break. There's a bunch of things but the point is human convictions are very low," says McDonald. "VACnet convictions are very high, when VACnet submits a case it convicts 80 to 95 percent of the time." 

That doesn't mean Valve plans to phase out its cheater theater, Overwatch. Both systems work together: VACnet learns detection techniques from Overwatch, McDonald says. "Because we're using Overwatch and we didn't actually replace all player reports, we just supplemented them, that means that the learner [VACnet] is getting the opportunity to evolve along with human jurors. So as human jurors identify new cheating behaviour, the learner has the opportunity to do the same thing."

McDonald adds that when VACnet has been recently retrained with player data to spot a new cheat, the conviction rate might be nearly 100 percent for a short period before cheaters adapt to it. When Valve quietly rolled out VACnet to CS:GO's 2v2 competitive mode earlier this month, McDonald says "the conviction rate for that mode was 99 percent for a while, it was great. Cheaters didn't get the memo we were doing it, and players were super happy and we were just busting cheaters left and right. It felt so good."

Large Hacker Collider

To bring VACnet to life, a server farm had to be built that could handle CS:GO's millions of players, loads of data, and grow as CS:GO grew. Right now there are about 600,000 5v5 CS:GO matches per day, and to evaluate all players in those matches Valve needed about four minutes of computation, amounting to 2.4 million minutes of CPU effort per day. You need about 1,700 CPUs to do that daily work.

So Valve bought 1,700 CPUs. And 1,700 more, "so we'll have room to expand," McDonald says, hinting at Valve's intention to bring VACnet to other games. Conservatively, Valve had to have spent at least a few million dollars on that hardware: 64 server blades with 54 CPU cores each and 128GB of RAM per blade. That's a drop in the bucket compared to the estimated $120M CS:GO brought in off of game copy sales alone in 2017, but it probably represents one of the beefiest anti-cheating farms built for a single game. 

The work continues, but from McDonald's perspective, VACnet is kicking ass, and has potential application not only in non-Valve games, but in other stuff on Steam. "Deep learning is this sea-change technology for evolutionary behaviour," says McDonald. "We think that it is really helping us get developers off of the treadmill without impacting our customers in any way. Our customers are seeing fewer cheaters today than they have been, and the conversation around cheating has died down tremendously compared to where it was before we started this work."

Early December 2017 brought a new milestone for the system: VACnet started producing more convictions than non-convictions in Overwatch. "The system works great," says McDonald.

OMEN by HP and FACEIT have announced the OMEN UK Open—a new Counter-Strike: Global Offensive tournament set to run from next month through November, 2018. The UK-exclusive contest promises a total prize pool of $30,000, with $12,500 of that in cash and $17,500 of OMEN by HP hardware. 

Qualifiers kick off on April 15 and are open to teams and solo players alike. The opening stage is split into eight preliminary rounds, followed by a two-month league, and wrapped up by open finals on November 17 and 18. The tourney in its entirety will be broadcast on the OMEN by HP Europe Twitch channel.

Further to the competition itself, OMEN by HP will also run the OMEN UK Open Community Caster Challenge—an initiative that gives talented commentators the chance to win $2,500 worth of OMEN by HP products, and the potential opportunity to cast the OMEN UK Open Final.  

"With the launch of the OMEN UK Open, HP is celebrating the competitive spirit that drives grassroot gamers across Britain," says George Brasher, UK and Ireland MD at HP, in a statement. "We know that enthusiast gamers need the best equipment and competitions to reach their goals and showcase their talent. The OMEN UK Open is a unique opportunity for HP to provide this platform and support the expansive UK CS:GO community—a passionate group of gaming fans at the very heart of esports."

The Omen UK Open qualifiers begin on April 15, and the tournament will conclude with Finals on November 17 and 18, 2018. More information on all of the above can be found here, while those interested in Community Caster Challenge sign ups should head in this direction.

If you're ever having a hard time retaking B on Inferno, just build a better sightline. Created by Kinsi55, creator of CS:GO battle royale mod Go 4 The Kill, this mod demonstrates what CS:GO would play like if you could build ramps and platforms as readily as you can in Fortnite Battle Royale. 

The result is both cathartic and extremely stupid, a strange shooter hybrid baby that combines one of the most hardcore point-and-click skill tests with the goofiest and most accessible battle royale game out there. Kinsi55 doesn't plan on a public release though; they say CS:GO's skyboxes are so small and buggy that most people would just get stuck, but I'll hold out hope yet. Gun game with fort-building sounds like a dream to me. 

At a presentation for upcoming Dota 2-themed card game Artifact at Valve's offices in Bellevue, Washington today, Gabe Newell reiterated that Valve is getting back into developing new games beyond its current roster of multiplayer titles. After talking about Valve's focus on Steam and hardware during the past several years, which he described as "an investment in the future", Newell said "Artifact is the first of several games that are going to be coming from us. So that's sort of good news. Hooray! Valve's going to start shipping games again."

That's games, plural: Artifact isn't the only game Valve is working on. In a January 2017 Reddit AMA, Newell did confirm that Valve was working on at least one fully-fledged singleplayer game. And the following month, in roundtable interviews with PC Gamer, Newell said that Valve was working on "three big VR games." Today's statement doesn't make it 100 percent clear whether Valve has projects in development beyond these previously mentioned games, but it is a possibility. "We aren't going to be talking about it today," Newell said, "but sort of the big thing, the new arrow we have in our quiver, really, is our ability to develop hardware and software simultaneously."

Newell gave some background on Valve's projects from the last few years, like SteamVR and the Vive headset, explaining that the company was worried about the PC heading in the direction of an iPhone-esque closed ecosystem. "You can see that Microsoft was like, wow, how can we make Windows more like that? Or Zuckerberg is saying, 'well I tried to compete in the phones, I got my ass kicked, so I'm going to create this new thing, VR, which will allow me to recreate the kind of closed, high margin ecosystem that Apple's done.' And that really started to worry us, because we thought that the strength of the PC is about its openness … So we started to make some investments to offset that."

Those investments, Newell said, meant they hadn't released a new game since Dota 2—but that work wasn't wasted time. "The positive thing about the Vive is, in addition to making sure that nobody created an iOS closed platform for it, was also that it gave us the opportunity to develop our in-house expertise in hardware design. Five years ago, we didn't have electrical engineers and people who know how to do robots. Now there's pretty much no project in the hardware space that we wouldn't be comfortable taking on. We can design chips if we need to, we can do industrial design, and so on. So that added to that."

With Valve's new hardware chops, it seems like we can expect more than new games from the company. "We've always been a little bit jealous of companies like Nintendo," Newell said. "When Miyamoto is sitting down and thinking about the next version of Zelda or Mario, he's thinking what is the controller going to look like, what sort of graphics and other capabilities. He can introduce new capabilities like motion input because he controls both of those things. And he can make the hardware look as good as possible because he's designing the software at the same time that's really going to take advantage of it. So that is something we've been jealous of, and that's something that you'll see us taking advantage of subsequently."