Hasta La Gadget!

Delta, an emulator that can play Nintendo games, had to change its logo after Adobe threatened legal action. You’d think it would face trouble from Nintendo, seeing as it has been going after emulators these days, but no. It’s Adobe who’s going after the developer, which told TechCrunch that it first received an email from the company’s lawyer on May 7. Adobe warned Delta that their logos are too similar, with its app icon infringing on the well-known Adobe “A,” and asked it to change its logo so it wouldn’t violate the company’s rights. Delta reportedly received an email from Apple, as well, telling the developer that Adobe asked it to take down the emulator app.

Delta

If you’ll recall, Apple started allowing retro game emulators on the App Store, as long as they don’t offer pirated games for download. Delta was one of the first to be approved for listing and was at the top of Apple’s charts for a while, which is probably why it caught Adobe’s attention. At the time of writing, it sits at number six in the ranking for apps in Entertainment with 17,100 ratings. 

The developer told both Adobe and Apple that its logo was a stylized version of the Greek letter “delta,” and not the uppercase letter A. Regardless, it debuted a new logo, which looks someone took a sword to its old one to cut it in half. It’s a temporary solution, though — the developer said it’s releasing the “final” version of its new logo when Delta 1.6 comes out.

This article originally appeared on Engadget at https://www.engadget.com/adobe-threatens-to-sue-nintendo-emulator-delta-for-its-look-alike-logo-123026491.html?src=rss

The latest iPad Airs and iPad Pros breathed fresh life into Apple’s tablets just as they seemed to be getting stale. Love them or hate them, the new Pros and Airs are pretty damn powerful, with the M4-powered tablet being practically just as capable as the most recent baseline MacBooks, but with the extra benefit of a…

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An international team of scientists from Sweden, India, the US, and the UK has developed a method to search for advanced extraterrestrial megastructures, known as Dyson spheres. A Dyson sphere, a concept proposed by physicist Freeman J. Dyson in 1960, is a hypothetical solar-system-sized structure built to harness the energy of a star, indicating a highly advanced civilization.

The researchers, led by Matías Suazo of Uppsala University in Sweden, have identified seven potential Dyson spheres out of millions of space objects. Their project, named Hephaistos, involved analyzing data from the European Space Agency’s Gaia map of stars, the 2MASS infrared astronomical survey, and NASA’s WISE infrared astronomy space telescope.

They aimed to detect technosignatures, particularly excess infrared radiation that partially completed Dyson spheres would emit due to waste heat.

“Dyson Sphere” by Kevin M. Gill is licensed under CC BY 2.0.

The team filtered around 5 million sources to compile a catalog of potential Dyson spheres. They looked for objects displaying anomalous infrared excess that could not be attributed to known natural sources, such as nebulae or background galaxies. Through this process, they narrowed the list to 368 sources, further reducing it to seven after excluding blends, irregulars, and nebulae.

These seven candidates are M-type (red dwarf) stars with unexplained infrared excess, which the scientists believe might indicate the presence of Dyson spheres. However, they acknowledge other possible explanations, such as warm debris disks, although these are rare around M-dwarfs.

The researchers emphasize that additional analyses, including follow-up optical spectroscopy, are necessary to confirm the true nature of these sources — They conclude that while their findings are intriguing, further investigation is required to determine whether these candidates are indeed evidence of advanced alien civilizations.

Scientists Find Potential Evidence Of Alien Megastructures

, original content from Ubergizmo. Read our Copyrights and terms of use.

Slack trains machine-learning models on user messages, files and other content without explicit permission. The training is opt-out, meaning your private data will be leeched by default. Making matters worse, you’ll have to ask your organization’s Slack admin (human resources, IT, etc.) to email the company to ask it to stop. (You can’t do it yourself.) Welcome to the dark side of the new AI training data gold rush.

Corey Quinn, an executive at DuckBill Group, spotted the policy in a blurb in Slack’s Privacy Principles and posted about it on X (via PCMag). The section reads (emphasis ours), “To develop AI/ML models, our systems analyze Customer Data (e.g. messages, content, and files) submitted to Slack as well as Other Information (including usage information) as defined in our Privacy Policy and in your customer agreement.”

The opt-out process requires you to do all the work to protect your data. According to the privacy notice, “To opt out, please have your Org or Workspace Owners or Primary Owner contact our Customer Experience team at feedback@slack.com with your Workspace/Org URL and the subject line ‘Slack Global model opt-out request.’ We will process your request and respond once the opt out has been completed.”

The company replied to Quinn’s message on X: “To clarify, Slack has platform-level machine-learning models for things like channel and emoji recommendations and search results. And yes, customers can exclude their data from helping train those (non-generative) ML models.”

How long ago the Salesforce-owned company snuck the tidbit into its terms is unclear. It’s misleading, at best, to say customers can opt out when “customers” doesn’t include employees working within an organization. They have to ask whoever handles Slack access at their business to do that — and I hope they will oblige.

Inconsistencies in Slack’s privacy policies add to the confusion. One section states, “When developing Al/ML models or otherwise analyzing Customer Data, Slack can’t access the underlying content. We have various technical measures preventing this from occurring.” However, the machine-learning model training policy seemingly contradicts this statement, leaving plenty of room for confusion. 

In addition, Slack’s webpage marketing its premium generative AI tools reads, “Work without worry. Your data is your data. We don’t use it to train Slack AI. Everything runs on Slack’s secure infrastructure, meeting the same compliance standards as Slack itself.”

In this case, the company is speaking of its premium generative AI tools, separate from the machine learning models it’s training on without explicit permission. However, as PCMag notes, implying that all of your data is safe from AI training is, at best, a highly misleading statement when the company apparently gets to pick and choose which AI models that statement covers.

Engadget tried to contact Slack via multiple channels but didn’t receive a response at the time of publication. We’ll update this story if we hear back.

This article originally appeared on Engadget at https://www.engadget.com/yuck-slack-has-been-scanning-your-messages-to-train-its-ai-models-181918245.html?src=rss

Slack trains machine-learning models on user messages, files and other content without explicit permission. The training is opt-out, meaning your private data will be leeched by default. Making matters worse, you’ll have to ask your organization’s Slack admin (human resources, IT, etc.) to email the company to ask it to stop. (You can’t do it yourself.) Welcome to the dark side of the new AI training data gold rush.

Corey Quinn, an executive at DuckBill Group, spotted the policy in a blurb in Slack’s Privacy Principles and posted about it on X (via PCMag). The section reads (emphasis ours), “To develop AI/ML models, our systems analyze Customer Data (e.g. messages, content, and files) submitted to Slack as well as Other Information (including usage information) as defined in our Privacy Policy and in your customer agreement.”

The opt-out process requires you to do all the work to protect your data. According to the privacy notice, “To opt out, please have your Org or Workspace Owners or Primary Owner contact our Customer Experience team at feedback@slack.com with your Workspace/Org URL and the subject line ‘Slack Global model opt-out request.’ We will process your request and respond once the opt out has been completed.”

The company replied to Quinn’s message on X: “To clarify, Slack has platform-level machine-learning models for things like channel and emoji recommendations and search results. And yes, customers can exclude their data from helping train those (non-generative) ML models.”

How long ago the Salesforce-owned company snuck the tidbit into its terms is unclear. It’s misleading, at best, to say customers can opt out when “customers” doesn’t include employees working within an organization. They have to ask whoever handles Slack access at their business to do that — and I hope they will oblige.

Inconsistencies in Slack’s privacy policies add to the confusion. One section states, “When developing Al/ML models or otherwise analyzing Customer Data, Slack can’t access the underlying content. We have various technical measures preventing this from occurring.” However, the machine-learning model training policy seemingly contradicts this statement, leaving plenty of room for confusion. 

In addition, Slack’s webpage marketing its premium generative AI tools reads, “Work without worry. Your data is your data. We don’t use it to train Slack AI. Everything runs on Slack’s secure infrastructure, meeting the same compliance standards as Slack itself.”

In this case, the company is speaking of its premium generative AI tools, separate from the machine learning models it’s training on without explicit permission. However, as PCMag notes, implying that all of your data is safe from AI training is, at best, a highly misleading statement when the company apparently gets to pick and choose which AI models that statement covers.

Engadget tried to contact Slack via multiple channels but didn’t receive a response at the time of publication. We’ll update this story if we hear back.

This article originally appeared on Engadget at https://www.engadget.com/yuck-slack-has-been-scanning-your-messages-to-train-its-ai-models-181918245.html?src=rss