This month, join forces to tackle the paranormal crises of a mysterious federal agency under siege in the cooperative first-person shooter FBC: Firebreak, lead your team to victory in the iconic all-out warfare of Battlefield 2042, test your skills as a new Fazbear employee managing and maintaining the eerie pizzeria of Five Nights at Freddy’s: Help Wanted 2 or live for the thrill of the hunt in the realistic hunting open world theHunter: Call of the Wild. All of these titles and more are available in June’s PlayStation Plus Game Catalog lineup*.    Meanwhile, PS2’s Deus Ex: The Conspiracy merges action-RPG, stealth and FPS gameplay in PlayStation Plus Premium.    All titles will be available to play on June 17.   PlayStation Plus Extra and Premium | Game Catalog  View and download image Download the image close Close Download this image FBC: Firebreak | PS5 Launching on the PlayStation Plus Game Catalog this month is FBC: Firebreak, a cooperative first-person shooter set within a mysterious federal agency under assault by otherworldly forces. Return to the strange and unexpected world of Control or venture in for the first time in this standalone, multiplayer experience. As a years-long siege on the agency’s headquarters reaches its boiling point, only Firebreak—the Bureau’s most versatile unit—has the gear and the guts to plunge into the building’s strangest crises, restore order, contain the chaos, and fight to reclaim control. Join forces with friends or strangers to tackle each job as a well-oiled crew. Survival in this three-player cooperative FPS hinges on quick thinking and seamless teamwork as you scramble to tame raging paranatural crises across a variety of unexpected locations.    View and download image Download the image close Close Download this image Battlefield 2042 | PS4, PS5 Battlefield 2042 is a first-person shooter that marks the return to the iconic all-out warfare of the franchise. With the help of a cutting-edge arsenal, engage in intense, immersive multiplayer battles. Lead your team to victory in both large all-out warfare and close quarters combat on maps from the world of 2042 and classic Battlefield titles. Find your playstyle in class-based gameplay and take on several experiences comprising elevated versions of Conquest and Breakthrough. Explore Battlefield Portal, a platform where players can discover, create, and share unexpected battles from Battlefield’s past and present. View and download image Download the image close Close Download this image Five Nights at Freddy’s: Help Wanted 2 | PS5 Five Nights at Freddy’s: Help Wanted 2 is the sequel to the terrifying VR experience that brought new life to the iconic horror franchise. As a brand new Fazbear employee you’ll have to prove you have what it takes to excel in all aspects of Pizzeria management and maintenance. Find out if you have what it takes to be a Fazbear Entertainment Superstar! View and download image Download the image close Close Download this image theHunter: Call of the Wild | PS4 Discover an atmospheric hunting game like no other in this realistic, stunning open world – regularly updated in collaboration with its community. Immerse yourself in the single player campaign, or share the ultimate hunting experience with friends. Roam freely across meticulously crafted environments and explore a diverse range of regions and biomes, each with its own unique flora and fauna. Experience the intricacies of complex animal behavior, dynamic weather events, full day and night cycles, simulated ballistics, highly realistic acoustics, and scents carried by the wind. Select from a variety of weapons, ammunition, and equipment to create the ultimate hunting experience. With a diverse range of wildlife, including Jackrabbits, Mallard Ducks, Black Bears, Elk, and Moose, you will need to strategically match prey to weaponry to successfully track, lure, and ambush animals based on their unique behavior and environment. View and download image Download the image close Close Download this image We Love Katamari Reroll + Royal Reverie | PS4, PS5 We Love Katamari Damacy, the second title in the Katamari series released in 2005, has been remastered with redesigned graphics and a revamped in-game UI. The King of the Cosmos accidentally destroyed all the stars in the universe. He sent his son, the Prince, to Earth and ordered him to create a large katamari. Roll the katamari to make it bigger and bigger, rolling up all the things on the earth. You can roll up anything from paper clips and snacks in the house, to telephone poles and buildings in the town, to even living creatures such as people and animals. Once the katamari is complete, it will turn into a star that colors the night sky. You cannot roll up anything larger than the current size of your katamari, so the key is to think in advance about the order in which you roll things up around the stage. In Royal Reverie, roll up katamari as the King of All Cosmos in his boyhood! View and download image Download the image close Close Download this image Eiyuden Chronicles: Hundred Heroes | PS4, PS5 Directed and produced by the creator of treasured JRPG series Suikoden, Eiyuden Chronicle: Hundred Heroes provides a contemporary take on the classic JRPG experience. In the land of Allraan, two friends from different backgrounds are united by a war waged by the power-hungry Galdean Empire. Explore a diverse, magical world populated by humans, beastmen, elves and desert people. Meet and recruit over 100 unique characters, each with their own vivid voice acting and intricate backstories. Over four years in the making, and funded by the most successful Kickstarter videogame campaign of 2020, Eiyuden Chronicle: Hundred Heroes features turn-based battles, a staggering selection of heroes and a thrilling story to discover. View and download image Download the image close Close Download this image Train Sim World 5 | PS4, PS5 The rails are yours in Train Sim World 5! Take on new challenges and new roles as you master the tracks and trains of iconic cities across 3 new routes. Immerse yourself in the ultimate rail hobby and embark on your next journey. Be swept off your feet with the commuter mayhem of the West Coast main line with the Northwestern Class 350, the twisting Kinzigtalbahn with the tilting DB BR 411 ICE-T, or the sun-soaked tracks of the San Bernardino line and its Metrolink movements, powered by the MP36 & F125.  View and download image Download the image close Close Download this image Endless Dungeon | PS4, PS5 Endless Dungeon is a unique blend of roguelite, tactical action, and tower defense set in the award-winning Endless Universe. Plunge into an abandoned space station alone or with friends in co-op, recruit a team of shipwrecked heroes, and protect your crystal against never-ending waves of monsters… or die trying, get reloaded, and try again. You’re stranded on an abandoned space station chock-full of monsters and mysteries. To get out you’ll have to reach The Core, but you can’t do that without your crystal bot. That scuttling critter is your key to surviving the procedurally generated rooms of this space ruin. Sadly, it’s also a fragile soul, and every monster in the place wants a piece of it. You’re going to have to think quick, plan well, place your turrets, and then… fireworks! Bugs, bots and blobs will stop at nothing to turn you and that crystal into dust and debris. With a large choice of weapons and turrets, the right gear will be the difference between life and death. PlayStation Plus Premium  View and download image Download the image close Close Download this image Deus Ex: The Conspiracy | PS4, PS5This is an emulation of the classic PS2 title, Deus Ex: The Conspiracy, playable on PS4 and PS5 for the first time. The year is 2052 and the world is a dangerous and chaotic place. Terrorists operate openly – killing thousands; drugs, disease and pollution kill even more. The world’s economies are close to collapse and the gap between the insanely wealthy and the desperately poor grows ever wider. Worst of all, an age- old conspiracy bent on world domination has decided that the time is right to emerge from the shadows and take control.  *PlayStation Plus Game Catalog and PlayStation Plus Premium/Deluxe lineups may differ by region. Please check PlayStation Store on release day. 

We’re thrilled to announce that Trackastrophe! is participating in this year’s Cerebral Puzzle Showcase on Steam! To celebrate the occasion, we’re releasing a free demo of the game, available for everyone who’d like to give it a try. If you enjoy puzzle games, chaotic trains, and colorful worlds, we’d love for you to check it out and, who knows, maybe wishlist the game 👀 What is Trackastrophe!? Trackastrophe! is a puzzle game where you guide an eccentric train through wacky worlds. Add tiles to the map layout, expand your train by collecting train cars, and pray you can get to the other side in one piece! Your mission: - Analyze each level- Lay down the right track tiles- Pray your train gets to the end in one piece!The demo is live now on Steam, so hop aboard and help our train reach its destination! 🚂Steam page: Store.steampowered.com

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more When DeepSeek released its R1 model this January, it wasn’t just another AI announcement. It was a watershed moment that sent shockwaves through the tech industry, forcing industry leaders to reconsider their fundamental approaches to AI development. What makes DeepSeek’s accomplishment remarkable isn’t that the company developed novel capabilities; rather, it was how it achieved comparable results to those delivered by tech heavyweights at a fraction of the cost. In reality, DeepSeek didn’t do anything that hadn’t been done before; its innovation stemmed from pursuing different priorities. As a result, we are now experiencing rapid-fire development along two parallel tracks: efficiency and compute.  As DeepSeek prepares to release its R2 model, and as it concurrently faces the potential of even greater chip restrictions from the U.S., it’s important to look at how it captured so much attention. Engineering around constraints DeepSeek’s arrival, as sudden and dramatic as it was, captivated us all because it showcased the capacity for innovation to thrive even under significant constraints. Faced with U.S. export controls limiting access to cutting-edge AI chips, DeepSeek was forced to find alternative pathways to AI advancement. While U.S. companies pursued performance gains through more powerful hardware, bigger models and better data, DeepSeek focused on optimizing what was available. It implemented known ideas with remarkable execution — and there is novelty in executing what’s known and doing it well. This efficiency-first mindset yielded incredibly impressive results. DeepSeek’s R1 model reportedly matches OpenAI’s capabilities at just 5 to 10% of the operating cost. According to reports, the final training run for DeepSeek’s V3 predecessor cost a mere $6 million — which was described by former Tesla AI scientist Andrej Karpathy as “a joke of a budget” compared to the tens or hundreds of millions spent by U.S. competitors. More strikingly, while OpenAI reportedly spent $500 million training its recent “Orion” model, DeepSeek achieved superior benchmark results for just $5.6 million — less than 1.2% of OpenAI’s investment. If you get starry eyed believing these incredible results were achieved even as DeepSeek was at a severe disadvantage based on its inability to access advanced AI chips, I hate to tell you, but that narrative isn’t entirely accurate (even though it makes a good story). Initial U.S. export controls focused primarily on compute capabilities, not on memory and networking — two crucial components for AI development. That means that the chips DeepSeek had access to were not poor quality chips; their networking and memory capabilities allowed DeepSeek to parallelize operations across many units, a key strategy for running their large model efficiently. This, combined with China’s national push toward controlling the entire vertical stack of AI infrastructure, resulted in accelerated innovation that many Western observers didn’t anticipate. DeepSeek’s advancements were an inevitable part of AI development, but they brought known advancements forward a few years earlier than would have been possible otherwise, and that’s pretty amazing. Pragmatism over process Beyond hardware optimization, DeepSeek’s approach to training data represents another departure from conventional Western practices. Rather than relying solely on web-scraped content, DeepSeek reportedly leveraged significant amounts of synthetic data and outputs from other proprietary models. This is a classic example of model distillation, or the ability to learn from really powerful models. Such an approach, however, raises questions about data privacy and governance that might concern Western enterprise customers. Still, it underscores DeepSeek’s overall pragmatic focus on results over process. The effective use of synthetic data is a key differentiator. Synthetic data can be very effective when it comes to training large models, but you have to be careful; some model architectures handle synthetic data better than others. For instance, transformer-based models with mixture of experts (MoE) architectures like DeepSeek’s tend to be more robust when incorporating synthetic data, while more traditional dense architectures like those used in early Llama models can experience performance degradation or even “model collapse” when trained on too much synthetic content. This architectural sensitivity matters because synthetic data introduces different patterns and distributions compared to real-world data. When a model architecture doesn’t handle synthetic data well, it may learn shortcuts or biases present in the synthetic data generation process rather than generalizable knowledge. This can lead to reduced performance on real-world tasks, increased hallucinations or brittleness when facing novel situations.  Still, DeepSeek’s engineering teams reportedly designed their model architecture specifically with synthetic data integration in mind from the earliest planning stages. This allowed the company to leverage the cost benefits of synthetic data without sacrificing performance. Market reverberations Why does all of this matter? Stock market aside, DeepSeek’s emergence has triggered substantive strategic shifts among industry leaders. Case in point: OpenAI. Sam Altman recently announced plans to release the company’s first “open-weight” language model since 2019. This is a pretty notable pivot for a company that built its business on proprietary systems. It seems DeepSeek’s rise, on top of Llama’s success, has hit OpenAI’s leader hard. Just a month after DeepSeek arrived on the scene, Altman admitted that OpenAI had been “on the wrong side of history” regarding open-source AI.  With OpenAI reportedly spending $7 to 8 billion annually on operations, the economic pressure from efficient alternatives like DeepSeek has become impossible to ignore. As AI scholar Kai-Fu Lee bluntly put it: “You’re spending $7 billion or $8 billion a year, making a massive loss, and here you have a competitor coming in with an open-source model that’s for free.” This necessitates change. This economic reality prompted OpenAI to pursue a massive $40 billion funding round that valued the company at an unprecedented $300 billion. But even with a war chest of funds at its disposal, the fundamental challenge remains: OpenAI’s approach is dramatically more resource-intensive than DeepSeek’s. Beyond model training Another significant trend accelerated by DeepSeek is the shift toward “test-time compute” (TTC). As major AI labs have now trained their models on much of the available public data on the internet, data scarcity is slowing further improvements in pre-training. To get around this, DeepSeek announced a collaboration with Tsinghua University to enable “self-principled critique tuning” (SPCT). This approach trains AI to develop its own rules for judging content and then uses those rules to provide detailed critiques. The system includes a built-in “judge” that evaluates the AI’s answers in real-time, comparing responses against core rules and quality standards. The development is part of a movement towards autonomous self-evaluation and improvement in AI systems in which models use inference time to improve results, rather than simply making models larger during training. DeepSeek calls its system “DeepSeek-GRM” (generalist reward modeling). But, as with its model distillation approach, this could be considered a mix of promise and risk. For example, if the AI develops its own judging criteria, there’s a risk those principles diverge from human values, ethics or context. The rules could end up being overly rigid or biased, optimizing for style over substance, and/or reinforce incorrect assumptions or hallucinations. Additionally, without a human in the loop, issues could arise if the “judge” is flawed or misaligned. It’s a kind of AI talking to itself, without robust external grounding. On top of this, users and developers may not understand why the AI reached a certain conclusion — which feeds into a bigger concern: Should an AI be allowed to decide what is “good” or “correct” based solely on its own logic? These risks shouldn’t be discounted. At the same time, this approach is gaining traction, as again DeepSeek builds on the body of work of others (think OpenAI’s “critique and revise” methods, Anthropic’s constitutional AI or research on self-rewarding agents) to create what is likely the first full-stack application of SPCT in a commercial effort. This could mark a powerful shift in AI autonomy, but there still is a need for rigorous auditing, transparency and safeguards. It’s not just about models getting smarter, but that they remain aligned, interpretable, and trustworthy as they begin critiquing themselves without human guardrails. Moving into the future So, taking all of this into account, the rise of DeepSeek signals a broader shift in the AI industry toward parallel innovation tracks. While companies continue building more powerful compute clusters for next-generation capabilities, there will also be intense focus on finding efficiency gains through software engineering and model architecture improvements to offset the challenges of AI energy consumption, which far outpaces power generation capacity.  Companies are taking note. Microsoft, for example, has halted data center development in multiple regions globally, recalibrating toward a more distributed, efficient infrastructure approach. While still planning to invest approximately $80 billion in AI infrastructure this fiscal year, the company is reallocating resources in response to the efficiency gains DeepSeek introduced to the market. Meta has also responded, With so much movement in such a short time, it becomes somewhat ironic that the U.S. sanctions designed to maintain American AI dominance may have instead accelerated the very innovation they sought to contain. By constraining access to materials, DeepSeek was forced to blaze a new trail. Moving forward, as the industry continues to evolve globally, adaptability for all players will be key. Policies, people and market reactions will continue to shift the ground rules — whether it’s eliminating the AI diffusion rule, a new ban on technology purchases or something else entirely. It’s what we learn from one another and how we respond that will be worth watching. Jae Lee is CEO and co-founder of TwelveLabs. Daily insights on business use cases with VB Daily If you want to impress your boss, VB Daily has you covered. We give you the inside scoop on what companies are doing with generative AI, from regulatory shifts to practical deployments, so you can share insights for maximum ROI. Read our Privacy Policy Thanks for subscribing. Check out more VB newsletters here. An error occured.

The game will cover Bond's origin story as he trains to become an MI6 agent.

Bacteria wouldn’t be so bad if we could tell them what to do. “Stop spreading! Stop sticking together! Stop fending off our antibiotics!” A new method is starting to allow scientists to do just that, letting them use light to control certain functions of bacteria. Introduced in a paper published in The European Physical Journal Plus, the preliminary approach could have several potential applications, including a possible avenue for combating antibiotic resistance.The Problem of Antibacterial Resistance Bacteria are behind a variety of diseases, from strep to staph to pneumonia and meningitis, and they attack our bodies in a variety of ways, as well, including through the production of toxins that damage and disrupt our cells. Some of these infections stop on their own, but others are too stubborn, or too serious, to leave untreated. These are the infections that we target with antibiotics — that is, as long as our antibiotics are working.But, because bacteria are constantly changing, they can develop defenses against the antibiotics that we use to stave them off, making these treatments much less effective. That’s the gist of the growing threat posed by antibiotic resistance, which has contributed to millions of deaths since 1990 and is anticipated to contribute to millions more by 2050. Setting out to find a new solution to this growing problem, scientists from the Italian Institute of Technology and the Polytechnic University of Milan embarked on the Engineering of Bacteria to See Light (EOS) project. The project aims to use light to control bacteria, primarily for the fight against antibiotic resistance. And the new method pushes the project closer to achieving that aim. Using light and light-sensitive molecules to adjust the electrical signals that are transmitted across the bacterial membrane, the method impacts the biological activity of bacteria without any alterations to their genetic makeup.“This interplay between light and electrical [signaling] allows us to control key biological processes such as movement, biofilm formation, and antibiotic sensitivity,” said Giuseppe Maria Paternò, a study author and a professor at the Polytechnic University of Milan, according to a press release. “We can influence antibiotic uptake and restore or even enhance the effectiveness of treatments against resistant strains.”Coating Bacteria to Curb Antibiotic ResistanceTo control bacteria, the method takes advantage of a light-sensitive molecule called Ziapin2, which sticks to the bacterial surface. By covering bacteria with this light-sensitive molecule and by subjecting the covered bacteria to light, the scientists were able to modify the electrical signals that were transmitted across their bacterial membranes, transforming the bacteria’s basic functioning. Testing their method on one of the most studied bacterial species, the scientists changed the electrical signaling across the membranes of Bacillus subtilis, a popular model organism that’s often used as a stand-in for Staphylococcus aureus, the bacterium that causes staphylococcus, or staph, infections.When tested, the method modulated the bacteria’s susceptibility to Kanamycin, an intracellular antibiotic that’s frequently used as a treatment for severe bacterial infections after other treatments fail. “Under blue light,” Paternò said in the release, “the effectiveness of Kanamycin was significantly reduced,” indicating that the electrical signaling on the bacterial membrane “plays a crucial role in the drug’s uptake.”Additional research is required to tailor the method to increase the effectiveness of Kanamycin and other antibiotics against bacteria. But for now, it seems that such an outcome could be possible. “This initial assessment […] represents a first step in a completely new field of study,” the scientists state in their paper. “This proof-of-concept study underscores the potential of non-genetic, light-based interventions to modulate bacterial susceptibility in real time. Future work will expand this approach […] ultimately advancing our understanding of bacterial bioelectric regulation and its applications in antimicrobial therapies.”This article is not offering medical advice and should be used for informational purposes only.Article SourcesOur writers at Discovermagazine.com use peer-reviewed studies and high-quality sources for our articles, and our editors review for scientific accuracy and editorial standards. Review the sources used below for this article:The European Physical Journal Plus. Photocontrol of Bacterial Membrane Potential Regulates Antibiotic Persistence in B. SubtilisSam Walters is a journalist covering archaeology, paleontology, ecology, and evolution for Discover, along with an assortment of other topics. Before joining the Discover team as an assistant editor in 2022, Sam studied journalism at Northwestern University in Evanston, Illinois.