SpaceX’s third Starship test launch takes off successfully

SpaceX hoped the third time would be the charm as it attempted another test of its Starship rocket. This third launch did indeed go well, with the Starship successfully launching at 9:25AM ET. Shortly after launch, it succesfully completed the hot-staging separation from the Super Heavy Booster, and the Starship successfully ignited the second-stage Raptor engines. It's currently coasting and the Raptor engines are planned to be re-lit about 40 minutes after initial take off. The Super Heavy Booster, meanwhile, went into a semi-controlled descent; its engines didn't fully re-ignite as planned prior to splashdown. We should hear more about what worked and didn't work in that phase of testing once everything is finished.

While SpaceX said that both the booster and Starship itself were going to return to Earth at "terminal velocity," thus making any recovery of them impossible, it looks like Starship itself didn't make it to splashdown. Based on the initial data, it looks like Starship broke up during re-entry. As with the booster, we should hear more about the specifics behind the ship's ultimate fate soon.

Before breakup, though, we got to see some dramatic footage of Starship beginning reentry:

The previous two efforts ended in failure, though Starship did reach space on the second go-round. A 110-minute launch window for the latest attempt opens at 8AM ET. A livestream covering the launch kicked off at about 8:50AM ET, and you can follow it here on X

The Federal Aviation Authority authorized the SpaceX Starship Super Heavy Orbital Flight Test 3 on Wednesday afternoon. The agency said in a statement to Engadget that Space X "met all safety, environmental, policy and financial responsibility requirements." 

The FAA grounded Starship for several weeks before the second test flight until the company took 63 "corrective actions." The first launch caused a fire in a state park and led to a lawsuit from environmental groups.

Along with building on top of the previous tests, there are a number of "ambitious" goals SpaceX had in mind for this launch. The company aimed to carry out the first re-light of a Raptor engine in space, along with ensuring the successful ascent burn of both stages, opening and closing the payload door and conducting a controlled reentry. The spacecraft flew on a new trajectory and splashed down in the Indian Ocean. SpaceX said the updated flight path afforded it the chance to try out new things like engine burns in space while prioritizing public safety.

This article originally appeared on Engadget at https://www.engadget.com/watch-spacexs-third-starship-test-launch-here-set-for-takeoff-at-925am-et-125513011.html?src=rss

EU regulators pass the planet’s first sweeping AI regulations

The European Parliament has approved sweeping legislation to regulate artificial intelligence, nearly three years after the draft rules were first proposed. Officials reached an agreement on AI development in December. On Wednesday, members of the parliament approved the AI Act with 523 votes in favor and 46 against, There were 49 abstentions.

The EU says the regulations seek to "protect fundamental rights, democracy, the rule of law and environmental sustainability from high-risk AI, while boosting innovation and establishing Europe as a leader in the field." The act defines obligations for AI applications based on potential risks and impact.

The legislation has not become law yet. It's still subject to lawyer-linguist checks, while the European Council needs to formally enforce it. But the AI Act is likely to come into force before the end of the legislature, ahead of the next parliamentary election in early June.

Most of the provisions will take effect 24 months after the AI Act becomes law, but bans on prohibited applications will apply after six months. The EU is banning practices that it believes will threaten citizens' rights. "Biometric categorization systems based on sensitive characteristics" will be outlawed, as will the "untargeted scraping" of images of faces from CCTV footage and the web to create facial recognition databases. Clearview AI's activity would fall under that category.

Other applications that will be banned include social scoring; emotion recognition in schools and workplaces; and "AI that manipulates human behavior or exploits people’s vulnerabilities." Some aspects of predictive policing will be prohibited i.e. when it's based entirely on assessing someone's characteristics (such as inferring their sexual orientation or political opinions) or profiling them. Although the AI Act by and large bans law enforcement's use of biometric identification systems, it will be allowed in certain circumstances with prior authorization, such as to help find a missing person or prevent a terrorist attack.

Applications that are deemed high-risk — including the use of AI in law enforcement and healthcare— are subject to certain conditions. They must not discriminate and they need to abide by privacy rules. Developers have to show that the systems are transparent, safe and explainable to users too. As for AI systems that the EU deems low-risk (like spam filters), developers still have to inform users that they're interacting with AI-generated content.

The law has some rules when it comes to generative AI and manipulated media too. Deepfakes and any other AI-generated images, videos and audio will need to be clearly labeled. AI models will have to respect copyright laws too. "Rightsholders may choose to reserve their rights over their works or other subject matter to prevent text and data mining, unless this is done for the purposes of scientific research," the text of the AI Act reads. "Where the rights to opt out has been expressly reserved in an appropriate manner, providers of general-purpose AI models need to obtain an authorization from rightsholders if they want to carry out text and data mining over such works." However, AI models built purely for research, development and prototyping are exempt.

The most powerful general-purpose and generative AI models (those trained using a total computing power of more than 10^25 FLOPs) are deemed to have systemic risks under the rules. The threshold may be adjusted over time, but OpenAI's GPT-4 and DeepMind's Gemini are believed to fall into this category. 

The providers of such models will have to assess and mitigate risks, report serious incidents, provide details of their systems' energy consumption, ensure they meet cybersecurity standards and carry out state-of-the-art tests and model evaluations.

As with other EU regulations targeting tech, the penalties for violating the AI Act's provisions can be steep. Companies that break the rules will be subject to fines of up to €35 million ($51.6 million) or up to seven percent of their global annual profits, whichever is higher. 

The AI Act applies to any model operating in the EU, so US-based AI providers will need to abide by them, at least in Europe. Sam Altman, CEO of OpenAI creator OpenAI, suggested last May that his company might pull out of Europe were the AI Act to become law, but later said the company had no plans to do so.

To enforce the law, each member country will create its own AI watchdog and the European Commission will set up an AI Office. This will develop methods to evaluate models and monitor risks in general-purpose models. Providers of general-purpose models that are deemed to carry systemic risks will be asked to work with the office to draw up codes of conduct. 

This article originally appeared on Engadget at https://www.engadget.com/eu-regulators-pass-the-planets-first-sweeping-ai-regulations-190654561.html?src=rss

EU regulators pass the planet’s first sweeping AI regulations

The European Parliament has approved sweeping legislation to regulate artificial intelligence, nearly three years after the draft rules were first proposed. Officials reached an agreement on AI development in December. On Wednesday, members of the parliament approved the AI Act with 523 votes in favor and 46 against, There were 49 abstentions.

The EU says the regulations seek to "protect fundamental rights, democracy, the rule of law and environmental sustainability from high-risk AI, while boosting innovation and establishing Europe as a leader in the field." The act defines obligations for AI applications based on potential risks and impact.

The legislation has not become law yet. It's still subject to lawyer-linguist checks, while the European Council needs to formally enforce it. But the AI Act is likely to come into force before the end of the legislature, ahead of the next parliamentary election in early June.

Most of the provisions will take effect 24 months after the AI Act becomes law, but bans on prohibited applications will apply after six months. The EU is banning practices that it believes will threaten citizens' rights. "Biometric categorization systems based on sensitive characteristics" will be outlawed, as will the "untargeted scraping" of images of faces from CCTV footage and the web to create facial recognition databases. Clearview AI's activity would fall under that category.

Other applications that will be banned include social scoring; emotion recognition in schools and workplaces; and "AI that manipulates human behavior or exploits people’s vulnerabilities." Some aspects of predictive policing will be prohibited i.e. when it's based entirely on assessing someone's characteristics (such as inferring their sexual orientation or political opinions) or profiling them. Although the AI Act by and large bans law enforcement's use of biometric identification systems, it will be allowed in certain circumstances with prior authorization, such as to help find a missing person or prevent a terrorist attack.

Applications that are deemed high-risk — including the use of AI in law enforcement and healthcare— are subject to certain conditions. They must not discriminate and they need to abide by privacy rules. Developers have to show that the systems are transparent, safe and explainable to users too. As for AI systems that the EU deems low-risk (like spam filters), developers still have to inform users that they're interacting with AI-generated content.

The law has some rules when it comes to generative AI and manipulated media too. Deepfakes and any other AI-generated images, videos and audio will need to be clearly labeled. AI models will have to respect copyright laws too. "Rightsholders may choose to reserve their rights over their works or other subject matter to prevent text and data mining, unless this is done for the purposes of scientific research," the text of the AI Act reads. "Where the rights to opt out has been expressly reserved in an appropriate manner, providers of general-purpose AI models need to obtain an authorization from rightsholders if they want to carry out text and data mining over such works." However, AI models built purely for research, development and prototyping are exempt.

The most powerful general-purpose and generative AI models (those trained using a total computing power of more than 10^25 FLOPs) are deemed to have systemic risks under the rules. The threshold may be adjusted over time, but OpenAI's GPT-4 and DeepMind's Gemini are believed to fall into this category. 

The providers of such models will have to assess and mitigate risks, report serious incidents, provide details of their systems' energy consumption, ensure they meet cybersecurity standards and carry out state-of-the-art tests and model evaluations.

As with other EU regulations targeting tech, the penalties for violating the AI Act's provisions can be steep. Companies that break the rules will be subject to fines of up to €35 million ($51.6 million) or up to seven percent of their global annual profits, whichever is higher. 

The AI Act applies to any model operating in the EU, so US-based AI providers will need to abide by them, at least in Europe. Sam Altman, CEO of OpenAI creator OpenAI, suggested last May that his company might pull out of Europe were the AI Act to become law, but later said the company had no plans to do so.

To enforce the law, each member country will create its own AI watchdog and the European Commission will set up an AI Office. This will develop methods to evaluate models and monitor risks in general-purpose models. Providers of general-purpose models that are deemed to carry systemic risks will be asked to work with the office to draw up codes of conduct. 

This article originally appeared on Engadget at https://www.engadget.com/eu-regulators-pass-the-planets-first-sweeping-ai-regulations-190654561.html?src=rss

The 2024 Summer Game Fest Showcase is set for June 7

The fifth edition of Summer Game Fest takes place this year and now we know when the main showcase will take place. The two-hour stream of trailers, hype, announcements and game updates is set for Friday, June 7 at 5PM ET. So, if you notice any typos in Engadget's coverage of the event, it definitely won't be because we're watching with an end-of-week cocktail in hand.

The SGF showcase will once again stream live from the YouTube Theater in Los Angeles with a live audience. The Geoff Keighley-run event has quickly become one of the key events on the games industry's calendar, as several notable projects, big and small, have been announced there

With E3 now completely dead, SGF could be poised to take the expo's place as the anchor for the various gaming events that typically take place in early June. The smart money's on an Xbox showcase happening on the following Sunday, for instance.

This article originally appeared on Engadget at https://www.engadget.com/the-2024-summer-game-fest-showcase-is-set-for-june-7-162854440.html?src=rss

The 2024 Summer Game Fest Showcase is set for June 7

The fifth edition of Summer Game Fest takes place this year and now we know when the main showcase will take place. The two-hour stream of trailers, hype, announcements and game updates is set for Friday, June 7 at 5PM ET. So, if you notice any typos in Engadget's coverage of the event, it definitely won't be because we're watching with an end-of-week cocktail in hand.

The SGF showcase will once again stream live from the YouTube Theater in Los Angeles with a live audience. The Geoff Keighley-run event has quickly become one of the key events on the games industry's calendar, as several notable projects, big and small, have been announced there

With E3 now completely dead, SGF could be poised to take the expo's place as the anchor for the various gaming events that typically take place in early June. The smart money's on an Xbox showcase happening on the following Sunday, for instance.

This article originally appeared on Engadget at https://www.engadget.com/the-2024-summer-game-fest-showcase-is-set-for-june-7-162854440.html?src=rss

New Netflix movie Atlas puts J-Lo in a giant mech

There aren't enough films that put movie stars in mechs and task them with saving the world. But that's just what Netflix flick Atlas is doing with Jennifer Lopez.

She plays Atlas Shepherd, "a brilliant but misanthropic data analyst with a deep distrust of artificial intelligence," who joins a team that's aiming to secure a renegade robot. As it happens, Atlas and said machine share "a mysterious past," according to Netflix. Inevitably, things don't go as planned. Atlas finds herself stuck on a distant planet (a long way from any block), inside a robot she has to trust to help her protect life back home.

The first trailer doesn't shed much more light on the plot, but it does have plenty of explosive visuals. Titanfall springs to mind here, especially since it shows a mech dropping from the sky to the surface. Sadly, it's probably the closest we'll ever get to a proper Titanfall film.

Atlas also stars Simu Liu and Sterling K. Brown. The film is directed by Brad Peyton (San Andreas, Rampage). It'll hit Netflix on May 24. In the meantime, Team Engadget couldn't help but come up with some alternative titles:

  • Mech In Manhattan

  • Jenny from the Bot

  • This is Mech... now

This article originally appeared on Engadget at https://www.engadget.com/new-netflix-movie-atlas-puts-j-lo-in-a-giant-mech-150742144.html?src=rss

New Netflix movie Atlas puts J-Lo in a giant mech

There aren't enough films that put movie stars in mechs and task them with saving the world. But that's just what Netflix flick Atlas is doing with Jennifer Lopez.

She plays Atlas Shepherd, "a brilliant but misanthropic data analyst with a deep distrust of artificial intelligence," who joins a team that's aiming to secure a renegade robot. As it happens, Atlas and said machine share "a mysterious past," according to Netflix. Inevitably, things don't go as planned. Atlas finds herself stuck on a distant planet (a long way from any block), inside a robot she has to trust to help her protect life back home.

The first trailer doesn't shed much more light on the plot, but it does have plenty of explosive visuals. Titanfall springs to mind here, especially since it shows a mech dropping from the sky to the surface. Sadly, it's probably the closest we'll ever get to a proper Titanfall film.

Atlas also stars Simu Liu and Sterling K. Brown. The film is directed by Brad Peyton (San Andreas, Rampage). It'll hit Netflix on May 24. In the meantime, Team Engadget couldn't help but come up with some alternative titles:

  • Mech In Manhattan

  • Jenny from the Bot

  • This is Mech... now

This article originally appeared on Engadget at https://www.engadget.com/new-netflix-movie-atlas-puts-j-lo-in-a-giant-mech-150742144.html?src=rss

Google DeepMind’s new AI can follow commands inside 3D games it hasn’t seen before

Google DeepMind has unveiled new research highlighting an AI agent that's able to carry out a swath of tasks in 3D games it hasn't seen before. The team has long been experimenting with AI models that can win in the likes of Go and chess, and even learn games without being told their rules. Now, for the first time, according to DeepMind, an AI agent has shown it's able to understand a wide range of gaming worlds and carry out tasks within them based on natural-language instructions.

The researchers teamed up with studios and publishers such as Hello Games (No Man's Sky), Tuxedo Labs (Teardown) and Coffee Stain (Valheim and Goat Simulator 3) to train the Scalable Instructable Multiworld Agent (SIMA) on nine games. The team also used four research environments, including one built in Unity in which agents are instructed to form sculptures using building blocks. This gave SIMA, described as "a generalist AI agent for 3D virtual settings," a range of environments and settings to learn from, with a variety of graphics styles and perspectives (first- and third-person). 

"Each game in SIMA’s portfolio opens up a new interactive world, including a range of skills to learn, from simple navigation and menu use, to mining resources, flying a spaceship or crafting a helmet," the researchers wrote in a blog post. Learning to follow directions for such tasks in video game worlds could lead to more useful AI agents in any environment, they noted.

A flowchart detailing how Google DeepMind trained its SIMA AI agent. The team used gameplay video and matched that to keyboard and mouse inputs for the AI to learn from.
Google DeepMind

The researchers recorded humans playing the games and noted the keyboard and mouse inputs used to carry out actions. They used this information to train SIMA, which has "precise image-language mapping and a video model that predicts what will happen next on-screen." The AI is able to comprehend a range of environments and carry out tasks to accomplish a certain goal.

The researchers say SIMA doesn't need a game's source code or API access — it works on commercial versions of a game. It also needs just two inputs: what's shown on screen and directions from the user. Since it uses the same keyboard and mouse input method as a human, DeepMind claims SIMA can operate in nearly any virtual environment.

The agent is evaluated on hundreds of basic skills that can be carried out within 10 seconds or so across several categories, including navigation ("turn right"), object interaction ("pick up mushrooms") and menu-based tasks, such as opening a map or crafting an item. Eventually, DeepMind hopes to be able to order agents to carry out more complex and multi-stage tasks based on natural-language prompts, such as "find resources and build a camp."

In terms of performance, SIMA fared well based on a number of training criteria. The researchers trained the agent in one game (let's say Goat Simulator 3, for the sake of clarity) and got it to play that same title, using that as a baseline for performance. A SIMA agent that was trained on all nine games performed far better than an agent that trained on just Goat Simulator 3.

Chart showing hte relative performance of Google DeepMind's SIMA AI agent based on varying training data.
Google DeepMind

What's especially interesting is that a version of SIMA that was trained in the eight other games then played the other one performed nearly as well on average as an agent that trained just on the latter. "This ability to function in brand new environments highlights SIMA’s ability to generalize beyond its training," DeepMind said. "This is a promising initial result, however more research is required for SIMA to perform at human levels in both seen and unseen games."

For SIMA to be truly successful, though, language input is required. In tests where an agent wasn't provided with language training or instructions, it (for instance) carried out the common action of gathering resources instead of walking where it was told to. In such cases, SIMA "behaves in an appropriate but aimless manner," the researchers said. So, it's not just us mere mortals. Artificial intelligence models sometimes need a little nudge to get a job done properly too.

DeepMind notes that this is early-stage research and that the results "show the potential to develop a new wave of generalist, language-driven AI agents." The team expects the AI to become more versatile and generalizable as it's exposed to more training environments. The researchers hope future versions of the agent will improve on SIMA's understanding and its ability to carry out more complex tasks. "Ultimately, our research is building towards more general AI systems and agents that can understand and safely carry out a wide range of tasks in a way that is helpful to people online and in the real world," DeepMind said.

This article originally appeared on Engadget at https://www.engadget.com/google-deepminds-new-ai-can-follow-commands-inside-3d-games-it-hasnt-seen-before-140341369.html?src=rss

The US Government says IP infringement is all over NFT marketplaces

The non-fungible token (NFT) bubble burst quite some time ago, but the US Government has only just published a report looking into the surrounding legal framework. The study, carried out jointly by the US Copyright Office (USCO) and the Patent and Trademark Office (USPTO) following a 2022 request by the Senate, determined that current intellectual property laws are robust enough to deal with copyright or trademark infringement in NFTs. The agencies also determined that although there are some benefits to the tokens, "trademark infringement and misuse is prevalent on NFT marketplaces."

As a reminder, an NFT is a digital certificate of authenticity conferring ownership of a collectible, such as an artwork or piece of music. It's effectively a verified link to a piece of media which may or may not live on the blockchain, but whoever owns the destination of an NFT's URL can change the media it points to at any time. In one notable case in 2021, Signal founder Moxie Marlinspike created an NFT that he promised would appear to be a poop emoji when someone bought it.

The offices noted that NFTs and associated smart contracts can aid trademark owners in managing, licensing and transferring IP rights. Those who weighed in on the issue in public comments pointed out that NFTs can help artists make money from future sales of their work too. That's not inherently a bad thing, even if a large swath of NFT art is butt-ugly.

However, the study noted "widespread concern that NFT buyers and sellers do not know what IP rights are implicated in the creation, marketing and transfer of NFTs and that NFTs may be used to facilitate copyright or trademark infringement."

The report notes that the decentralized nature of NFTs and blockchain networks complicates any attempts to enforce trademarks. "While some individual NFT platforms have developed protocols to help trademark owners enforce their rights, there is no centralized authority that requires all platforms to do so," the report reads. "There are also no cross-platform mechanisms to allow trademark owners to identify and take down infringing content, settle trademark-related disputes involving blockchain-based domain names, or confirm that sellers own the trademark rights associated with the assets they offer."

With all of that in mind, the offices said that educating the public about NFTs could help ensure a better understanding and awareness of the tokens and how they work. Still, they recommended in their report to Congress that the current use of NFTs doesn't require changes to current IP laws. They also noted that "incorporating NFTs into their registration and recordation practices is not necessary or advisable at this time." In other words, they don't think they should have to deal with NFTs either.

This article originally appeared on Engadget at https://www.engadget.com/the-us-government-says-ip-infringement-is-all-over-nft-marketplaces-155757506.html?src=rss

Apple will allow iOS apps to be distributed on websites in the EU

Days after Apple started allowing iOS users in the EU to use third-party app stores, the company has announced more changes related to how developers can distribute their apps. Most significantly, those who meet certain criteria will be able to let users download apps from their websites.

The Web Distribution option, which will be available this spring, will effectively let developers bypass the app ecosystem entirely for their own apps. To be eligible, devs will need to opt in to new App Store rules that see them pay a fee for each user install after certain thresholds and be an Apple Developer Program member that’s been in good standing for at least two years. They’ll need to “have an app that had more than one million first annual installs on iOS in the EU in the prior calendar year” among other criteria, per a support document.

By setting certain rules for supporting downloads from the web, Apple will be hoping to minimize the risk that users will be installing sketchy apps, such as ones containing malware or those that support piracy. Still, given the criticism levied against the company for seemingly only sticking to the letter of the EU’s Digital Markets Act and not its spirit, the fact that the company is exerting control over app downloads from the web may come under scrutiny too.

In addition, as 9to5Mac notes, Apple is now allowing developers to run app marketplaces that solely contain their own apps. Previously, they were required to offer apps from other devs. As such, this means the likes of Epic Games, Xbox and Meta can have iOS app marketplaces that only include their own apps and games.

Last but not least, developers will have more flexibility over how they can direct users to an external webpage to complete a transaction for digital goods and services. Apple had provided design templates for in-app promotions, discounts and deals, but those are now optional as of today. That means the likes of Spotify and Netflix can now design links out to their websites (and potentially avoid the 30 percent cut Apple takes of subscriptions from app-based signups).

This article originally appeared on Engadget at https://www.engadget.com/apple-will-allow-ios-apps-to-be-distributed-on-websites-in-the-eu-141526111.html?src=rss