When you purchase through links in our articles, we may earn a small commission. When AI starts redrawing characters and lighting, who's really in control of the art? Because it makes a game look how Nvidia thinks it should look--and uses AI to do it. Nvidia's newly-announced DLSS 5 is an Nvidia feature that injects new details like textures and lighting via generative AI into supported games, all done using the GPU. It's quickly become the focal point of an increasingly vicious battle between human artists and AI.

Meta's flailing virtual reality social experience is being discontinued in June. It's part of Meta's broader moves to slim down the business that became its namesake. Pour one out from your digital bottle, because Meta is shutting down the virtual reality experience of Horizon Worlds. Meta sent an email blast to Horizon Worlds users today stating that the social VR world will officially end on its Quest VR headsets; starting March 31, Horizon Worlds will no longer be in the Quest store. Some Horizon-specific perks, including Meta Credits, avatars, and some digital clothes and in-world purchases, will also be removed.

Nvidia CEO Jensen Huang defends DLSS 5 against user backlash, calling critics "completely wrong" about the generative AI graphics technology's function. PCWorld notes the controversy stems from concerns that DLSS 5 applies an "AI skin" over game models rather than true enhancement. Huang clarifies DLSS 5 offers developers controllability at the geometry level, describing it as real-time neural rendering that infuses photorealism into pixels. In just a day, Nvidia's DLSS 5 technology has become the hot button for most of the PC and gaming world. Now Nvidia's chief executive has weighed in, claiming that everyone is "completely wrong" about the technology. At a question-and-answer session at Nvidia's own Game Technology Conference, Nvidia chief executive Jensen Huang said that "as I have explained very carefully, DLSS 5 fuses controllability of the of geometry and textures and everything about the game with generative AI," he said. Huang went on to say of the controversy: "They're completely wrong." Nvidia's DLSS 5 has sparked controversy because it essentially applies a generative AI filter to computer graphics. Nvidia describes DLSS 5 as a "real-time neural rendering model that infuses pixels with photoreal lighting and materials," and a "GPT moment for graphics -- blending hand-crafted rendering with generative AI".

Maybe not everything needs to be AI yassified? You can sum up the gamer response to NVIDIA's DLSS 5 announcement with the ever-relevant meme: Everyone disliked that. Across social media and Reddit last night, I couldn't find anyone who's genuinely positive about the potential for DLSS 5, which uses AI to add photorealistic lighting and materials to in-game models and environments. It's not unusual to see gamers being reflexively angry about new technology on the internet, especially when it's being pitched by NVIDIA as the "biggest breakthrough in computer graphics" since its RTX 20-series GPUs arrived in 2018 with real-time ray tracing. There was plenty of suspicion around DLSS's original AI upscaling model, as well as the fake frames generated by later iterations.

Nvidia faces gamer backlash over'breakthrough' AI graphics feature A new feature from chip-maker Nvidia that promises cinematic-quality graphics using AI has prompted a backlash online, despite the company claiming it would reinvent what is possible in video games. Nvidia said the DLSS 5 tool, which will be rolled out this autumn, would allow games to have photoreal computer graphics previously only achieved in Hollywood visual effects. In images shared with the media, the tech was shown radically changing the appearance of characters and environments in games such as Resident Evil Requiem and Hogwarts Legacy. But some industry professionals said its use of AI went too far, making graphics feel airbrushed and hollow. Clearly this is a massive glow-up for environments, said video game critic Alex Donaldson on Bluesky.

NVIDIA claims DLSS 5 will deliver'photoreal' image quality with AI this fall The company plans to rely on AI for more than just additional frames. Just months after announcing DLSS 4.5 at CES, NVIDIA has unveiled its next major upscaling technology, DLSS 5. The company is doubling-down on AI for this next iteration, claiming DLSS 5 "infuses pixels with photoreal lighting and materials" using a real-time neural rendering model when it arrives this fall. So what does this mean in practice? In an on-stage demo at NVIDIA's GTC 2026 keynote, CEO Jensen Huang showed off the technology with and DLSS 5 adds a noticeable amount of detail to character's hair and skin tone, but it also appears it's being compared to those games without any DLSS features turned on.

Nvidia unveiled DLSS 5 with 3D-Guided Neural Rendering at its GPU Technology Conference, using AI to add photorealistic lighting and materials to games in real-time. PCWorld reports this technology aims to bridge the gap between rendering and reality, enhancing details like skin and fabric in major titles including Hogwarts Legacy and Starfield. DLSS 5 launches this fall and represents what Nvidia calls a "GPT moment for graphics," potentially delivering unprecedented visual realism in PC gaming. We've only just gotten some of the headline features of DLSS 4.5, and now Nvidia has announced the next version. At its self-branded GPU Technology Conference in California, Nvidia revealed DLSS 5.

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The days of tech giants buying up discrete chips are over. AI companies now need GPUs, CPUs, and everything in between. Ask anyone what Nvidia makes, and they're likely to first say "GPUs." For decades, the chipmaker has been defined by advanced parallel computing, and the emergence of generative AI and the resulting surge in demand for GPUs has been a boon for the company . But Nvidia's recent moves signal that it's looking to lock in more customers at the less compute-intensive end of the AI market--customers who don't necessarily need the beefiest, most powerful GPUs to train AI models, but instead are looking for the most efficient ways to run agentic AI software.

We use the symmetrized cosine similarity loss from SimSiam. Model details For CIFAR10, we use pretrained StyleGAN available at the official website of StyleGAN-Ada[31]2. We also experimented with the model with best Inception score3 but did not observe significant difference in results. Linear classification The quality of the pretrained representations is evaluated by training a supervised linear classifier on frozen representationshinthe training set, and then testing itinthe validationset.