Google has launched its script editor tool, offering advanced automations for Google Home-powered smart homes. The Verge reports: Available starting Tuesday, June 13th, to those in the Google Home public preview, the script editor is part of Google's new home.google.com web interface, which also has live feeds for any Nest cams on your account. The script editor will be coming to the new Google Home app preview starting June 14th. There's no date for general availability.

Along with allowing for multiple starters and actions, the script editor adds more advanced conditions. For example, you can set an automation to run only if the TV is on and it's after 6PM but before midnight. The script editor automations are created in the new Google Home web interface, you can apply for the public preview here.

The script editor allows you to do everything you can in the Home app when setting up automations, plus "more than 100 new features and capabilities to fit your unique understanding of your home and what you want it to do," according to a blog post by Anish Kattukaran, director of product management at Google Home. This includes access to nearly 100 starters and actions, including Matter sensors -- something not currently possible in the Home app. For example, an Eve Motion sensor connected via Matter to Google Home can't currently be used as a starter for automations in the Home app but can be used as one in the script editor. Google has some example automations that you can view here.

An anonymous reader shares a report: Not so long ago, Microsoft Edge ended up in hot waters after users discovered a bug leaking your browser history to Bing. Now you may want to toggle off another feature to ensure Edge is not sending every picture you view online to Microsoft. Edge has a built-in image enhancement tool that, according to Microsoft, can use "super-resolution to improve clarity, sharpness, lighting, and contrast in images on the web." Although the feature sounds exciting, recent Microsoft Edge Canary updates have provided more information on how image enhancement works. The browser now warns that it sends image links to Microsoft instead of performing on-device enhancements.

Slashdot reader e065c8515d206cb0e190 shared the big announcement from Debian.org: After 1 year, 9 months, and 28 days of development, the Debian project is proud to present its new stable version 12 (code name bookworm).

bookworm will be supported for the next 5 years thanks to the combined work of the Debian Security team and the Debian Long Term Support team...

This release contains over 11,089 new packages for a total count of 64,419 packages, while over 6,296 packages have been removed as obsolete. 43,254 packages were updated in this release. The overall disk usage for bookworm is 365,016,420 kB (365 GB), and is made up of 1,341,564,204 lines of code.

bookworm has more translated man pages than ever thanks to our translators who have made man-pages available in multiple languages such as: Czech, Danish, Greek, Finnish, Indonesian, Macedonian, Norwegian (Bokmål), Russian, Serbian, Swedish, Ukrainian, and Vietnamese. All of the systemd man pages are now completely available in German.

The Debian Med Blend introduces a new package: shiny-server which simplifies scientific web applications using R. We have kept to our efforts of providing Continuous Integration support for Debian Med team packages. Install the metapackages at version 3.8.x for Debian bookworm.

The Debian Astro Blend continues to provide a one-stop solution for professional astronomers, enthusiasts, and hobbyists with updates to almost all versions of the software packages in the blend. astap and planetary-system-stacker help with image stacking and astrometry resolution. openvlbi, the open source correlator, is now included.

Support for Secure Boot on ARM64 has been reintroduced: users of UEFI-capable ARM64 hardware can boot with Secure Boot mode enabled to take full advantage of the security feature.
9to5Linux has screenshots, and highlights some new features: Debian 12 also brings read/write support for APFS (Apple File System) with the apfsprogs and apfs-dkms utilities, a new tool called ntfs2btrfs that lets you convert NTFS drives to Btrfs, a new malloc implementation called mimalloc, a new kernel SMB server called ksmbd-tools, and support for the merged-usr root file system layout...

This release also includes completely new artwork called Emerald, designed (once again) by Juliette Taka. New fonts are also present in this major Debian release, along with a new fnt command-line tool for accessing 1,500 DFSG-compliant fonts.
Debian 12 "bookworm" ships with several desktop environments, including:

• Gnome 43,
• KDE Plasma 5.27,
• LXDE 11,
• LXQt 1.2.0,
• MATE 1.26,
• Xfce 4.18

Amazon's cloud customers are clamoring to get their hands on the ChatGPT-style technology the company unveiled six weeks ago. But instead of being allowed to test it, many are being told to sit tight, prompting concerns the artificial intelligence tool isn't fully baked. From a report: Amazon's announcement that it had entered the generative AI race was uncharacteristically vague, according to longtime employees and customers. Amazon Web Services product launches typically include glowing testimonials from three to five customers, these people said. This time the company cited just one: Coda, a document-editing startup.

Coda Chief Executive Officer Shishir Mehrotra said that after testing the technology he awarded Amazon an "incomplete" grade. The company's generative AI tools are "all fairly early," he said in an interview. "They're building on and repackaging services that they already offered." Mehrotra added that he expected AWS's AI tools to be competitive long-term. People familiar with AWS product launches wondered if Amazon released the AI tools to counter perceptions it has fallen behind cloud rivals Microsoft and Alphabet's Google. Both companies are using generative AI -- which mines vast quantities of data to generate text or images -- to revamp web search and add AI capabilities to a host of products. The technology is unrefined and error-prone, but no one denies its potential to revolutionize computing.

Long-time open source advocate Matt Asay writes in InfoWorld: OpenSearch shouldn't exist. The open source alternative to Elasticsearch started off as Amazon Web Services' (AWS) answer to getting outflanked by Elastic's change in Elasticsearch's license, which was in turn sparked by AWS building a successful Elasticsearch service but contributing little back. In 2019 when AWS launched its then Open Distro for Elasticsearch, I thought its reasons rang hollow and, frankly, sounded sanctimonious. This was, after all, a company that used more open source than it contributed. Two years later, AWS opted to fork Elasticsearch to create OpenSearch, committing to a "long-term investment" in OpenSearch.

I worked at AWS at the time. Privately, I didn't think it would work.

Rather, I didn't feel that AWS really understood just how much work was involved in running a successful open source project, and the company would fail to invest the time and resources necessary to make OpenSearch a viable competitor to Elasticsearch. I was wrong. Although OpenSearch has a long way to go before it can credibly claim to have replaced Elasticsearch in the minds and workloads of developers, it has rocketed up the search engine popularity charts, with an increasingly diverse contributor population. In turn, the OpenSearch experience is adding a new tool to AWS' arsenal of open source strengths....

As part of the AWS OpenSearch team, David Tippett and Eli Fisher laid out a few key indicators of OpenSearch's success as they gave their 2022 year in review. They topped more than 100 million downloads and gathered 8,760 pull requests from 496 contributors, a number of whom don't work for AWS. Not stated were other success factors, such as Adobe's earlier decision to replace Elasticsearch with OpenSearch in its Adobe Commerce suite, or its increasingly open governance with third-party maintainers for the project. Nor did they tout its lightning-fast ascent up the DB-Engines database popularity rankings, hitting the Top 50 databases for the first time.

OpenSearch, in short, is a bonafide open source success story. More surprisingly, it's an AWS open source success story. For many who have been committed to the "AWS strip mines open source" narrative, such success stories aren't supposed to exist. Reality bites.
The article notes that OpenSearch's success "doesn't seem to be blunting Elastic's income statement." But it also points out that Amazon now has many employees actively contributing to open source projects, including PostgreSQL and MariaDB. (Although "If AWS were to turn forking projects into standard operating procedure, that might get uncomfortable.")

"Fortunately, not only has AWS learned how to build more open source, it has also learned how to partner with open source companies."

An anonymous reader quotes a report from TechCrunch: Google [on Wednesday] released MusicLM, a new experimental AI tool that can turn text descriptions into music. Available in the AI Test Kitchen app on the web, Android or iOS, MusicLM lets users type in a prompt like "soulful jazz for a dinner party" or "create an industrial techno sound that is hypnotic" and have the tool create several versions of the song. Users can specify instruments like "electronic" or "classical," as well as the "vibe, mood, or emotion" they're aiming for, as they refine their MusicLM-generated creations.

When Google previewed MusicLM in an academic paper in January, it said that it had "no immediate plans" to release it. The coauthors of the paper noted the many ethical challenges posed by a system like MusicLM, including a tendency to incorporate copyrighted material from training data into the generated songs. But in the intervening months, Google says it's been working with musicians and hosting workshops to "see how [the] technology can empower the creative process." One of the outcomes? The version of MusicLM in AI Test Kitchen won't generate music with specific artists or vocals. Make of that what you will. It seems unlikely, in any case, that the broader challenges around generative music will be easily remedied. You can sign up to try MusicLM here.

Researchers at the University of Minnesota report via Phys.Org: Biocomputing is typically done either with live cells or with non-living, enzyme-free molecules. Live cells can feed themselves and can heal, but it can be difficult to redirect cells from their ordinary functions toward computation. Non-living molecules solve some of the problems of live cells, but have weak output signals and are difficult to fine-tune and regulate. In new research published in Nature Communications, a team of researchers at the University of Minnesota has developed a platform for a third method of biocomputing: Trumpet, or Transcriptional RNA Universal Multi-Purpose GatE PlaTform.

Trumpet uses biological enzymes as catalysts for DNA-based molecular computing. Researchers performed logic gate operations, similar to operations done by all computers, in test tubes using DNA molecules. A positive gate connection resulted in a phosphorescent glow. The DNA creates a circuit, and a fluorescent RNA compound lights up when the circuit is completed, just like a lightbulb when a circuit board is tested.

The research team demonstrated that:

- The Trumpet platform has the simplicity of molecular biocomputing with added signal amplification and programmability.
- The platform is reliable for encoding all universal Boolean logic gates (NAND, NOT, NOR, AND, and OR), which are fundamental to programming languages.
- The logic gates can be stacked to build more complex circuits.

The team also developed a web-based tool facilitating the design of sequences for the Trumpet platform. "Trumpet is a non-living molecular platform, so we don't have most of the problems of live cell engineering," said co-author Kate Adamala, assistant professor in the College of Biological Sciences. "We don't have to overcome evolutionary limitations against forcing cells to do things they don't want to do. This also gives Trumpet more stability and reliability, with our logic gates avoiding the leakage problems of live cell operations."

"It could make a lot of long-term neural implants possible. The applications could range from strictly medical, like healing damaged nerve connections or controlling prosthetics, to more sci-fi applications like entertainment or learning and augmented memory," added Adamala.

For half a century, Geoffrey Hinton nurtured the technology at the heart of chatbots like ChatGPT. Now he worries it will cause serious harm. From a report: Geoffrey Hinton was an artificial intelligence pioneer. In 2012, Dr. Hinton and two of his graduate students at the University of Toronto created technology that became the intellectual foundation for the A.I. systems that the tech industry's biggest companies believe is a key to their future. On Monday, however, he officially joined a growing chorus of critics who say those companies are racing toward danger with their aggressive campaign to create products based on generative artificial intelligence, the technology that powers popular chatbots like ChatGPT. Dr. Hinton said he has quit his job at Google, where he has worked for more than decade and became one of the most respected voices in the field, so he can freely speak out about the risks of A.I. A part of him, he said, now regrets his life's work.

"I console myself with the normal excuse: If I hadn't done it, somebody else would have," Dr. Hinton said during a lengthy interview last week in the dining room of his home in Toronto, a short walk from where he and his students made their breakthrough. Dr. Hinton's journey from A.I. groundbreaker to doomsayer marks a remarkable moment for the technology industry at perhaps its most important inflection point in decades. Industry leaders believe the new A.I. systems could be as important as the introduction of the web browser in the early 1990s and could lead to breakthroughs in areas ranging from drug research to education. But gnawing at many industry insiders is a fear that they are releasing something dangerous into the wild. Generative A.I. can already be a tool for misinformation. Soon, it could be a risk to jobs. Somewhere down the line, tech's biggest worriers say, it could be a risk to humanity. "It is hard to see how you can prevent the bad actors from using it for bad things," Dr. Hinton said.

DuckDuckGo announced a new tool called DuckAssist that "automatically pulls and summarizes information from Wikipedia in response to certain questions," reports The Verge. From the report: DuckAssist's beta is live on the search engine right now -- but only through DuckDuckGo's mobile apps and browser extensions. Gabriel Weinberg, the founder and CEO of DuckDuckGo, says the company will add it to the web-based search engine if the trial "goes well." When you enter a question that DuckAssist can help with, you'll see a box that says "I can check to see if Wikipedia has relevant info on this topic, just ask" at the very top of your search results. Hit the blue "Ask" button, and you'll get an AI-generated answer using summarized information from Wikipedia. If DuckAssist has already answered a question once before, that response will automatically appear, which means you won't have to "ask" it the same thing multiple times.

While the tool's built upon language models from OpenAI, the company that makes ChatGPT, and the Google-backed Anthropic, Weinberg says it'll retain the same focus on privacy as DuckDuckGo. According to the announcement, DuckAssist won't share any personally identifiable information with OpenAI and Anthropic, and neither company will use your anonymous questions to train their models. DuckDuckGo says the feature uses the "most recent full Wikipedia download available," which is around a few weeks old, so it might not be able to help if you're searching for something later than that. However, the company plans to update this in the future, as well as add more sources for DuckAssist to draw from.

An anonymous reader shares a report: Firefox has a reputation of being something of a resource hog, even among modern browsers. But it might not be entirely earned, because it looks like a CPU bug affecting Firefox users on Windows was actually the fault of Windows Defender. The latest update to the ubiquitous security tool addresses the issue, and should result in measurably lower CPU usage for the Windows version of Firefox. According to Mozilla senior software engineer Yannis Juglaret, the culprit was MsMpEng.exe, which you might recognize from your Task Manager. It handles the Real-Time protection feature that monitors web activity for malicious threats.

The bug was causing Firefox to call on the service much more frequently than comparable browsers like Chrome or Edge, resulting in notable CPU spikes. Said CPU spikes could reduce performance in other applications or affect a laptop's battery life. The issue was first reported on Mozilla's bug tracker system way back in 2018 and quickly assigned to the MsMpEng service, but some more recent and diligent documentation on the part of Juglaret resulted in more swift action from Microsoft's developers.

An anonymous reader quotes a report from Wired: The Russian government has banned more than 10,000 websites for content about the war in Ukraine since Moscow launched the full-scale invasion in February 2022. The blacklist includes Facebook, Twitter, Instagram, and independent news outlets. Over the past year, Russians living inside the country have turned to censorship circumvention tools such as VPNs to pierce through the information blockade. But as dozens of virtual private networks get blocked, leaving users scrambling to maintain their access to free information, local activists and developers are coming up with new solutions. One of them is Amnezia VPN, a free, open source VPN client.

"We even do not advertise and promote it, and new users are still coming by the hundreds every day," says Mazay Banzaev, Amnezia VPN's founder. Unlike commercial VPNs that route users through company servers, which can be blocked, Amnezia VPN makes it simple for users to buy and set up their own servers. This allows them to choose their own IP address and use protocols that are harder to block. "More than half of the commercial VPNs in Russia have been blocked because it's easy enough to block them: They do not block them by protocols, but by IP addresses," says Banzaev. "[Amnezia] is an order of magnitude more resilient than a typical commercial VPN." Amnezia VPN is similar to Outline, a free and open source tool developed by Jigsaw, a subsidiary of Google. Amnezia was created in 2020 during a hackathon supported by Russian digital rights organization Roskomsvoboda. Even then, "it was clear that things were moving toward stricter censorship," says Banzaev. [...]

It is unclear how many users the service has, since the organization doesn't have a way to monitor user numbers, Banzaev says. However, Amnezia offers a Telegram bot called AmneziaFree, which shares VPN configurations that help users access blocked platforms and news; it has almost 100,000 users. The bot is currently struggling with overload, and users are complaining about spotty service. Banzaev says the Amnezia team is working to add new servers on a limited budget, and that they are also working on a new version of the service. "Amnezia is not only used in Russia," notes Wired. "The service has spread to Turkmenistan, Iran, China, and other countries where users have been struggling with free access to the web."

The number of victims affected by a mass-ransomware attack, caused by a bug in a popular data transfer tool used by businesses around the world, continues to grow as another organization tells TechCrunch that it was also hacked. From the report: Canadian financing giant Investissement Quebec confirmed to TechCrunch that "some employee personal information" was recently stolen by a ransomware group that claimed to have breached dozens of other companies. Spokesperson Isabelle Fontaine said the incident occurred at Fortra, previously known as HelpSystems, which develops the vulnerable GoAnywhere file transfer tool. Hitachi Energy also confirmed this week that some of its employee data had been stolen in a similar incident involving its GoAnywhere system, but saying the incident happened at Fortra.

Over the past few days, the Russia-linked Clop gang has added several other organizations to its dark web leak site, which it uses to extort companies further by threatening to publish the stolen files unless a financial ransom demand is paid. TechCrunch has learned of dozens of organizations that used the affected GoAnywhere file transfer software at the time of the ransomware attack, suggesting more victims are likely to come forward. However, while the number of victims of the mass-hack is widening, the known impact is murky at best. Since the attack in late January or early February -- the exact date is not known -- Clop has disclosed less than half of the 130 organizations it claimed to have compromised via GoAnywhere, a system that can be hosted in the cloud or on an organization's network that allows companies to securely transfer huge sets of data and other large files.

An anonymous reader quotes a report from Ars Technica: When you first start messing with the command line, it can feel like there's an impermeable wall between the local space you're messing around in and the greater Internet. On your side, you've got your commands and files, and beyond the wall, there are servers, images, APIs, webpages, and more bits of useful, ever-changing data. One of the most popular ways through that wall has been cURL, or "client URL," which turns 25 this month.

The cURL tool started as a way for programmer Daniel Stenberg to let Internet Chat Relay users quickly fetch currency exchange rates while still inside their chat window. As detailed in an archived history of the project, it was originally built off an existing command-line tool, httpget, built by Rafael Sagula. A 1.0 version was released in 1997, then changed names to urlget by 2.0, as it had added in GOPHER, FTP, and other protocols. By 1998, the tool could upload as well as download, and so version 4.0 was named cURL. Over the next few years, cURL grew to encompass nearly every Internet protocol, work with certificates and encryption, offer bindings for more than 50 languages, and be included in most Linux distributions and other systems. The cURL project now encompasses both the command-line command itself and the libcurl library. In 2020, the project's history estimated the command and library had been installed in more than 10 billion instances worldwide.

How do you celebrate a piece of indispensable Internet architecture turning 25? Stenberg plans to host a "Zoom birthday party" at 17:00 UTC time on March 20. Double-check that time in your area: "It is within this weird period between [when] the US has switched to daylight saving time while Europe has not yet switched," Stenberg writes on his blog. Stenberg plans to sip on a 25-year Bowmore Islay single-malt Scotch, while presenting the project's history and future plans while taking questions. (A link to the Zoom call will be added to Stenberg's blog post closer to March 20.)

An anonymous reader quotes a report from Wired: Roblox is testing a tool that could accelerate the process of building and altering in-game objects by getting artificial intelligence to write the code. The tool lets anyone playing Roblox create items such as buildings, terrain, and avatars; change the appearance and behavior of those things; and give them new interactive properties by typing what they want to achieve in natural language rather than complex code. "Say I need a gleaming metal sword for an experience I'm creating," says Daniel Sturman, CTO at Roblox. "It should be really easy to create that."

Sturman showed WIRED a new Roblox tool that generates the code needed to create objects and modify their appearance and behavior. In the demo, typing "red pain, reflective metal finish," or "purple foil, crushed pattern, reflective" into a chat window changed the appearance of a sports car in the game. It was also possible to add new game behavior by entering "Blink the headlines every time the user presses 'B,'" and "Make it float." Technology dubbed generative AI has captured attention and investment over the past year by showing that algorithms can produce seemingly coherent text and aesthetically pleasing images when given a short text prompt. The technology relies on AI models trained with lots of data, in the form of text or images scraped from the web, and is also at work in the viral chatbot ChatGPT. Some AI researchers are experimenting with similar techniques for generating video and 3D content, but this is mostly at an early stage.

Sturman says the approach holds promise for Roblox because so many of the games on its platform are made by individuals or small teams. "We have everything on our platform, from studios down to 12-year-olds who have had an incredible idea come out of a summer camp," Sturman says. Roblox says the code-making AI it uses relies on a combination of in-house technology and capabilities from outside sources, although it is not disclosing where from. Currently the company is only training its AI using game content that is in the public domain. Sturman says Roblox will tread carefully to ensure that users do not object to having their creations fed into generative AI algorithms.

Sarah Blesener writes via The New York Times: Since his arrest two months ago, Samuel Bankman-Fried, the disgraced cryptocurrency executive, has been physically confined to the Palo Alto home of his parents, under the force of a $250 million bail package. But he has roamed largely unfettered in the wilderness of the internet: conducting interviews, posting narratives, making calls on encrypted apps and using a virtual private network, a web tool that allows users to conceal data and visit websites without detection. Those unrestrained days may soon be over. On Thursday, a federal judge overseeing Mr. Bankman-Fried's multibillion-dollar fraud case signaled a willingness to jail him for his persistent testing of his confinement's boundaries, going beyond what prosecutors had asked. "Why am I being asked to turn him loose in this garden of electronic devices?" the judge, Lewis A. Kaplan, asked prosecutors, describing the well-wired home of Mr. Bankman-Fried's parents, both professors at Stanford Law School.

No new conditions were set during Thursday's hearing, the latest of several hearings, held in federal court in Manhattan, to consider more restrictive bail terms. Judge Kaplan asked both sides to prepare concrete proposals that would limit and monitor Mr. Bankman-Fried's access to the internet without inhibiting his ability to participate in his defense. Federal prosecutors in Manhattan have charged Mr. Bankman-Fried with orchestrating widespread fraud at FTX, the cryptocurrency exchange he founded, accusing him of misappropriating billions of dollars of customers' money. Prosecutors said he used the funds to finance lavish real estate purchases, political contributions and investments in other companies. After he was charged in December, Mr. Bankman-Fried was released on bail with the requirement that he wear an ankle monitor and stay confined to his parents' house. [...]

"Opera's adding a ChatGPT-powered tool to its sidebar that generates brief summaries of webpages and articles," reports the Verge: "The feature, called 'shorten,' is part of the company's broader plans to integrate AI tools into its browser, similar to what Microsoft's doing with Edge."

The "shorten" feature isn't available to everyone just yet, though. Jan Standel, the vice president of marketing and communications at Opera, tells The Verge that it's going to "launch in browsers very soon." Opera's also working on other AI-powered features that "augment" the browsing experience and plans on adding "popular AI-generated content services to the sidebar," although it's not yet clear what this could entail.
In the blog post Opera's EVP for PC Browsers and Gaming shared their belief that "with AI solutions springing up both for text, image, and audio generation and in countless other forms, we are at the brink of a new era of creativity on the Web."

The post says the forthcoming AI integration follows their "track record of giving users direct access to the internet's most in-demand platforms, such as TikTok, Telegram, and WhatsApp." And Opera's co-CEO added that "Whether inventing browser tabs or providing our users with built-in access to generative AI tools, we always push the limits of what's possible on the web."

Google is working on a ChatGPT competitor named Bard. From a report: Google's CEO, Sundar Pichai, announced the project in a blog post today, describing the tool as an "experimental conversational AI service" that will answer users' queries and take part in conversations. The software will be available to a group of "trusted testers" today, says Pichai, before becoming "more widely available to the public in the coming weeks." It's not clear exactly what capabilities Bard will have, but it seems the chatbot will be just as free ranging as OpenAI's ChatGPT. A screenshot encourages users to ask Bard practical queries, like how to plan a baby shower or what kind of meals could be made from a list of ingredients for lunch.

Writes Pichai: "Bard can be an outlet for creativity, and a launchpad for curiosity, helping you to explain new discoveries from NASA's James Webb Space Telescope to a 9-year-old, or learn more about the best strikers in football right now, and then get drills to build your skills." Pichai also notes that Bard "draws on information from the web to provide fresh, high-quality responses," suggesting it may be able to answer questions about recent events -- something ChatGPT struggles with. Further reading: An important next step on our AI journey (Google blog).

An anonymous reader quotes a report from Axios: ChatGPT creator OpenAI today released a free web-based tool designed to help educators and others figure out if a particular chunk of text was written by a human or a machine. OpenAI cautions the tool is imperfect and performance varies based on how similar the text being analyzed is to the types of writing OpenAI's tool was trained on. "It has both false positives and false negatives," OpenAI head of alignment Jan Leike told Axios, cautioning the new tool should not be relied on alone to determine authorship of a document.

Users copy a chunk of text into a box and the system will rate how likely the text is to have been generated by an AI system. It offers a five-point scale of results: Very unlikely to have been AI-generated, unlikely, unclear, possible or likely. It works best on text samples greater than 1,000 words and in English, with performance significantly worse in other languages. And it doesn't work to distinguish computer code written by humans vs. AI. That said, OpenAI says the new tool is significantly better than a previous one it had released.

When you share your email, "you're sharing a lot more," warns the New York Times' lead consumer technology writer: [I]t can be linked to other data, including where you went to school, the make and model of the car you drive, and your ethnicity....

For many years, the digital ad industry has compiled a profile on you based on the sites you visit on the web.... An email could contain your first and last name, and assuming you've used it for some time, data brokers have already compiled a comprehensive profile on your interests based on your browsing activity. A website or an app can upload your email address into an ad broker's database to match your identity with a profile containing enough insights to serve you targeted ads.
The article recommends creating several email addresses to "make it hard for ad tech companies to compile a profile based on your email handle... Apple and Mozilla offer tools that automatically create email aliases for logging in to an app or a site; emails sent to the aliases are forwarded to your real email address." Apple's Hide My Email tool, which is part of its iCloud+ subscription service that costs 99 cents a month, will create aliases, but using it will make it more difficult to log in to the accounts from a non-Apple device. Mozilla's Firefox Relay will generate five email aliases at no cost; beyond that, the program charges 99 cents a month for additional aliases.

For sites using the UID 2.0 framework for ad targeting, you can opt out by entering your email address [or phone number] at https://transparentadvertising.org.

Apple is taking steps to separate its mobile operating system from features offered by Google parent Alphabet, making advances around maps, search and advertising that has created a collision course between the Big Tech companies. From a report: The two Silicon Valley giants have been rivals in the smartphone market since Google acquired and popularized the Android operating system in the 2000s. Apple co-founder Steve Jobs called Android "a stolen product" that mimicked Apple's iOS mobile software, then declared "thermonuclear war" on Google, ousting the search company's then-CEO Eric Schmidt from the Apple board of directors in 2009. While the rivalry has been less noisy since, two former Apple engineers said the iPhone maker has held a "grudge" against Google ever since. One of these people said Apple is still engaged in a "silent war" against its arch-rival. It is doing so by developing features that could allow the iPhone-maker to further separate its products from services offered by Google.

[...] The second front in the battle is search. While Apple rarely discusses products while in development, the company has long worked on a feature known internally as "Apple Search," a tool that facilitates "billions of searches" per day, according to employees on the project. Apple's search team dates back to at least 2013, when it acquired Topsy Labs, a start-up that had indexed Twitter to enable searches and analytics. The technology is used every time an iPhone user asks Apple's voice assistant Siri for information, types queries from the home screen, or uses the Mac's "Spotlight" search feature. Apple's search offering was augmented with the 2019 purchase of Laserlike, an artificial intelligence start-up founded by former Google engineers that had described its mission as delivering "high quality information and diverse perspectives on any topic from the entire web."