GOG originally stood for “Good Old Games,” and the online store wants to better match the expectations associated with that name. It’s launching a revival that will do more to highlight and support classic game releases. The initiative will not only apply a “Good Old Game” tag to retro hits in the catalog, but will include a ‘new’ game: a version of Legend’s 1999-vintage The Wheel of Time (timely given the Amazon series) that runs on modern hardware.
The Unreal Engine-based fantasy shooter won’t offer stunning visuals, but Nightdive Studios’ refresh lets it run on newer operating systems (Windows 7 and up) and support high-resolution displays. The premise remains the same: you play an Aes Sedai (magic-wielding woman) who uncovers a sinister plot decades before the timeline of Robert Jordan’s novels. You’ll also find deathmatch and capture-the-flag multiplayer modes, although Wheel of Time wasn’t exactly a staple of the online gaming scene when new.
There’s a strong competitive incentive for GOG to shift its attention to classic games — this could help it stand out compared to heavyweights like Steam and the Epic Games Store, many of which focus on the latest releases. The initiative could be useful for game preservation efforts, though. If nothing else, it could be helpful if you’ve been waiting decades to revisit a favorite.
For well over a century, baseball catchers have signaled pitches with their fingers, but that could soon become a thing of the past in the big leagues. Major League Baseball has approved the use of a system that will allow catchers to send directions to their pitchers electronically.
The PitchCom system centers around a sleeve catchers wear on their forearm. They can press buttons to identify the pitch type and location. The pitcher hears the call through a bone conduction listening device. The channels are encrypted and teams can program codewords to replace terms like “fastball” or “curveball.”
According to the Associated Press, MLB is providing every team with three transmitters, 10 receivers and a charging case for the system, which works in Spanish and English. Teams can use one transmitter and up to five receivers at any time. Along with catchers and pitchers, three other fielders can use a receiver, which is tucked inside the cap. The devices can only be used on the field during games — not in clubhouses, bullpens or dugouts.
PitchCom is optional and teams can still use traditional hand signals if they wish. Around half of MLB teams are said to have expressed interest in using PitchCom. Some players tested the system during spring training and it was broadly well-received, as ESPN reports.
“I think it can be beneficial when it comes to August, September and October and you’re pushing towards the playoffs, with all the scouts in the stands and eyes on you trying to decipher what you’re throwing,” Chicago White Sox pitcher Dallas Keuchel said. “It’ll be nice not to have to go through several sets of signs.”
The tech could help teams ward off the threat of sign stealing by their opponents, an issue that has hung over the sport for the last several years. The Houston Astros were infamously caught stealing signs using a camera and monitors during their run to the 2017 World Series title. Teams have even been accused of using fitness trackers to signal the opposing catcher’s pitch calls. Widespread adoption of PitchCom could eliminate such attempts at cheating and help speed up games.
Meanwhile, the creators of PitchCom are working on a version of the system that will provide visual indicators of pitch calls. That’s expected to be available next year.
a bowl of soup that looks like a monster, knitted out of wool – OpenAI
The first DALL-E (a portmanteau of “Dali,” as in the artist, and “WALL-E,” as in the animated Disney character) could generate images as well as combine multiple images into a collage, provide varying angles of perspective, and even infer elements of an image — such as shadowing effects — from the written description.
“Unlike a 3D rendering engine, whose inputs must be specified unambiguously and in complete detail, DALL·E is often able to ‘fill in the blanks’ when the caption implies that the image must contain a certain detail that is not explicitly stated,” the OpenAI team wrote in 2021.
macro 35mm film photography of a large family of mice wearing hats cozy by the fireplace – OpenAI
DALL-E was never intended to be a commercial product and was therefore somewhat limited in its abilities given the OpenAI team’s focus on it as a research tool, it’s also been intentionally capped to avoid a Tay-esque situation or the system being leveraged to generate misinformation. Its sequel has been similarly sheltered with potentially objectionable images preemptively removed from its training data and a watermark indicating that its an AI-generated image automatically applied. Additionally, the system actively prevents users from creating pictures based on specific names. Sorry, folks wondering what “Christopher Walken eating a churro in the Sistine Chapel” would look like.
DALL-E 2, which utilizes OpenAI’s CLIP image recognition system, builds on those image generation capabilities. Users can now select and edit specific areas of existing images, add or remove elements along with their shadows, mash-up two images into a single collage, and generate variations of an existing image. What’s more, the output images are 1024px squares, up from the 256px avatars the original version generated. OpenAI’s CLIP was designed to look at a given image and summarize its contents in a way humans can understand. The consortium reversed that process, building an image from its summary, in its work with the new system.
Teddy bears mixing sparkling chemicals as mad scientists – OpenAI
“DALL-E 1 just took our GPT-3 approach from language and applied it to produce an image: we compressed images into a series of words and we just learned to predict what comes next,” OpenAI research scientist Prafulla Dhariwal told Verge.
Unlike the first, which anybody could play with on the OpenAI website, this new version is currently only available for testing by vetted partners who themselves are limited in what they can upload or generate with it. Only family-friendly sources can be utilized and anything involving nudity, obscenity, extremist ideology or “major conspiracies or events related to major ongoing geopolitical events” are right out. Again, sorry to the folks hoping to generate “Donald Trump riding a naked, COVID-stricken Nancy Pelosi like a horse through the US Senate on January 6th while doing a Nazi salute.”
a photo of an astronaut riding a horse – OpenAI
The current crop of testers are also banned from exporting their generated works to a third-party platform though OpenAI is considering adding DALL-E 2’s abilities to its API in the future.
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