Lifeboat Foundation

Fly, goat, fly! A new AI agent from Google DeepMind can play different games, including ones it has never seen before such as Goat Simulator 3, a fun action game with exaggerated physics. Researchers were able to get it to follow text commands to play seven different games and move around in three different 3D research environments. It’s a step toward more generalized AI that can transfer skills across multiple environments.

Google DeepMind has had huge success developing game-playing AI systems. Its system AlphaGo, which beat top professional player Lee Sedol at the game Go in 2016, was a major milestone that showed the power of deep learning. But unlike earlier game-playing AI systems, which mastered only one game or could only follow single goals or commands, this new agent is able to play a variety of different games, including Valheim and No Man’s Sky. It’s called SIMA, an acronym for “scalable, instructable, multiworld agent.”

DeepMind’s SIMA is groundbreaking because it doesn’t tap into a game’s internal structure or rule set. Instead, its knowledge base derives from extensive analysis of human gameplay footage paired with the explanations provided by data labelers.

What differentiates SIMA is its ‘generalist’ design. Google partnered with eight game developers to give SIMA access to a wide range of titles, ensuring the AI learns to grasp the core concepts of play within different virtual worlds. This exposure allows SIMA to follow instructions provided as simple text and interact with its environment as a human player might.

Google announced a number of new features for Google Play listings for games, including AI-powered FAQs, displaying the latest YouTube videos, new immersive ad formats and support for native PC game publishing. The announcements were made at the Google for Games Developer Summit held in San Francisco.

As part of the announcement, the company is releasing new tools related to Play Store listings to attract more users. Developers can display promotions and the latest YouTube videos directly in their listings — they will be shown to users in the Games tab of the Play Store.

Google is also introducing support for AI-powered FAQs on the game’s information page in English. Currently, these features are rolling out to a limited set of developers. The company had been testing AI-generated FAQ answers on Play Store for non-game-related apps for some time.

Here’s my latest Opinion piece for Newsweek. It discusses the panel I chaired at the House of Lords, UK Parliament supporting enhanced athletes & the Enhanced Games!

Antagonists of the Enhanced Games say it will be dangerous. Some insist athletes will overdose and possibly die while competing. D’Souza said these fears are overblown. The Enhanced Games will also have some regulations, including pre-competition tests that show an athlete is healthy to compete, regardless of what they’re on.

Many athletes don’t seem to mind the risks. That’s partially because they’re being offered large financial sums to compete. Magnussen was offered $1.5 million dollars to try to break the 50-meter freestyle world record, and he appeared quite happy with that sizable amount of money. Furthermore, many athletes have already been taking enhancements, so now they’d just be out in the open about it.

Continue reading “Let’s Support Enhanced Athletes” »

The film industry, always at the forefront of technological innovation, is increasingly embracing artificial intelligence (AI) to revolutionize movie production, distribution, and marketing. From script analysis to post-production, Already AI is reshaping how movies are made and consumed. Let’s explore the current applications of AI in movie studios and speculates on future uses, highlighting real examples and the transformative impact of these technologies.

AI’s infiltration into the movie industry begins at the scriptwriting stage. Tools like ScriptBook use natural language processing to analyze scripts, predict box office success, and offer insights into plot and character development. For instance, 20th Century Fox employed AI to analyze the script of Logan, which helped in making informed decisions about the movie’s plot and themes. Consider, in pre-production, AI has also aided in casting and location scouting. Warner Bros. partnered with Cinelytic to use AI for casting decisions, evaluating an actor’s market value to predict a film’s financial success. For example, let’s look at location scouting. AI algorithms can sift through thousands of hours of footage to identify suitable filming locations, streamlining what was once a time-consuming process.

Continue reading “The AI Takeover In Cinema: How Movie Studios Use Artificial Intelligence” »

Something to look forward to: AMD’s FSR image upscaling technology has avoided using AI until now, which has been a double-edged sword in its competition against Nvidia’s DLSS and Intel’s XeSS. A recent interview with AMD’s CTO indicates that the company plans to pivot sharply toward AI in 2024, with gaming upscaling as one area of focus.

AMD has confirmed that it’s developing a method to play games with AI-based image upscaling. Although further details are scarce, this could potentially bring the company’s solution closer to Nvidia’s. In an interview on the No Priors podcast, CTO Mark Papermaster explained how AMD has deployed AI acceleration throughout its product stack and plans to introduce new applications to utilize it this year. “We are enabling gaming devices to upscale using AI and 2024 is a really huge deployment year,” he said.

Nvidia DLSS, Intel XeSS, and AMD FSR allow gamers to increase the resolution at which they play while minimizing the performance impact. However, while DLSS and XeSS utilize hardware-assisted AI, FSR relies only on spatial and temporal information.

Whipping Up Worlds

Because the AI can learn from unlabeled online videos and is still a modest size—just 11 billion parameters—there’s ample opportunity to scale up. Bigger models trained on more information tend to improve dramatically. And with a growing industry focused on inference —the process of by which a trained AI performs tasks, like generating images or text—it’s likely to get faster.

DeepMind says Genie could help people, like professional developers, make video games. But like OpenAI—which believes Sora is about more than videos—the team is thinking bigger. The approach could go well beyond video games.

Apple Vision Pro may gain the ability to play SteamVR games, thanks to developers who have begun porting the open-source ALVR software.

ALVR is software that enables streaming VR games to virtual reality headsets. The adaptation of ALVR allows users to enjoy SteamVR games on Apple Vision Pro’s Micro-OLED displays.

However, interacting with these games requires a specific type of controller that tracks itself instead of one tracked by a headset.

Blog post with show notes and transcript: https://www.preposterousuniverse.com/podcast/2018/11/05/epis…nd-theory–…