GIMP 3.0 has been released after over a decade of development. Highlights include a refined GTK3 interface with scroll wheel tab navigation, a new splash screen, improved HiDPI icon support, enhanced color management, a stable public API, and support for more file formats. 9to5Linux reports: GIMP 3.0 also brings improvements to non-destructive editing by introducing an optional "Merge Filters" checkbox at the bottom of NDE filters that merges down the filter immediately after it's committed, along with non-destructive filters on layer groups and the implementation of storing version of filters in GIMP's XCF project files. Among other noteworthy changes, the GEGL and babl components have been updated with new features and many improvements, such as Inner Glow, Bevel, and GEGL Styles filters, some plugins saw small enhancements, and it's now possible to export images with different settings while leaving the original image unchanged.
There's also a new PDB call that allows Script-Fu writers to use labels to specify filter properties, a brand new named-argument syntax, support for loading 16-bits-per-channel LAB PSD files, support for loading DDS images with BC7 support, early-binding CMYK support, and support for PSB and JPEG-XL image formats. On top of that, GIMP 3.0 introduces new auto-expanding layer boundary and snapping options, an updated search pop-up to show the menu path for all entries while making individual filters searchable, a revamped alignment tool, and support for "layer sets," replacing the older concept of linked layers. You can download GIMP 3.0 from the official website.
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Most mobile apps fail to reach $1,000 in monthly revenue within their first two years, according to a new report from RevenueCat examining data from over 75,000 mobile apps. Across all categories, only about 20% of apps achieve the $1,000 threshold, while just 5% reach $10,000 monthly.
In 2025, the top 5% of apps generate 500 times more revenue than the remaining 95% -- up from 200 times in 2024. After one year, elite performers in gaming, photo and video, health and fitness, and social categories exceed $5,000 monthly, while those in the 25th percentile earn a meager $5-20 per month. The report also highlights North American developers' heavy iOS dependence, with 76.1% making over 80% of their revenue from Apple's platform. Subscription retention presents another challenge, with barely 10% of monthly subscribers staying beyond the first year.
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Security updates have been issued by Debian (opensaml and php8.2), Fedora (chromium, ctk, dcmtk, expat, ffmpeg, firefox, fscrypt, gdcm, InsightToolkit, kitty, libssh2, libxml2, linux-firmware, man2html, nextcloud, OpenImageIO, php, podman-tui, python-django, python-django5, python-gunicorn, python-jinja2, python-spotipy, python3.6, qt6-qtwebengine, thunderbird, tigervnc, vim, vyper, xen, xorg-x11-server, and xorg-x11-server-Xwayland), Mageia (freetype2, ghostscript, and man2html), Oracle (kernel and krb5), Red Hat (grub2, libreoffice, mysql:8.0, pcs, thunderbird, tigervnc, webkit2gtk3, and xorg-x11-server), Slackware (expat, freetype, and php), SUSE (amazon-ssm-agent, chromedriver, ed25519-java, google-cloud-sap-agent, google-guest-agent, govulncheck-vulndb, libexslt0, libzvbi-chains0, php8, restic, rubygem-rack, subversion, tomcat, and tomcat10), and Ubuntu (freetype, resteasy, and xorg-server, xorg-server-hwe-16.04, xorg-server-hwe-18.04).
This week the Free Software Foundation published memorabilia items for an online silent auction — part of their big 40th anniversary celebration. "Starting March 17, the FSF will unlock items each day for bidding on the LibrePlanet wiki at 12:00 EDT.. Bidding on all items will conclude at 15:00 EDT on March 21, 2025...
"During the auction, the FSF welcomes everyone who supports user freedom to bid on historical and symbolic free software memorabilia," they annouced this week:
The auction is split into two parts: a silent auction hosted on the LibrePlanet wiki from March 17 through March 21 and a live auction held on the FSF's Galène videoconferencing server on March 23 from 14:00-17:00. The auction is only the opening act to a months-long itinerary celebrating forty years of free software activism...
Executive director Zoë Kooyman adds: "These items are valuable pieces of FSF history, and some of them are emblematic of the free software movement. We want to entrust these memorabilia in the hands of the free software community for preservation and would love to see some of these items displayed in exhibitions." All in all, there are twenty-five pieces that are either directly part of the FSF's history and/or representative of the free software movement that will be available in the silent auction.
Winning bidders can rest assured that all proceeds from this auction will go towards the FSF's continued work to promote computer user freedom worldwide.
Silent auction items include:
A print of the famous Gnu-with-Tux-as-superheroes poster signed by Richard Stallman and artist Lissanne Lake. Bids start at $300...
A mid-1980s VT220 terminal that "still works, and can be connected to your favorite free machine over the serial interface... This is the same terminal that was on the FSF reception desk for some time, introducing visitors to ASCII art, NetHack, and other free software lore." Bids start at $250... (with estimate shipping costs of $100)
An Amiga 3000UX donated to the GNU project "sometime in 1990." While it now has a damaged battery, "FSF staff programmers used it at MIT to help further some early development of the GNU operating system." Starting bid: $300 (with estimated shipping costs of $400).
"A variety of plush animals that had greeted visitors at its former offices in Boston on 51 Franklin Street..."
"The most notable items have been reserved for the live auction on Sunday, March 23," they note — including the Internet Hall of Fame medal awarded to FSF founder Richard Stallman in 2013 "as ultimate recognition of free software's immense impact on the development and advancement of the Internet."
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An anonymous reader shared this article from TechCrunch:
Social network Bluesky recently published a proposal on GitHub outlining new options it could give users to indicate whether they want their posts and data to be scraped for things like generative AI training and public archiving.
CEO Jay Graber discussed the proposal earlier this week, while on-stage at South by Southwest, but it attracted fresh attention on Friday night, after she posted about it on Bluesky. Some users reacted with alarm to the company's plans, which they saw as a reversal of Bluesky's previous insistence that it won't sell user data to advertisers and won't train AI on user posts.... Graber replied that generative AI companies are "already scraping public data from across the web," including from Bluesky, since "everything on Bluesky is public like a website is public." So she said Bluesky is trying to create a "new standard" to govern that scraping, similar to the robots.txt file that websites use to communicate their permissions to web crawlers...
If a user indicates that they don't want their data used to train generative AI, the proposal says, "Companies and research teams building AI training sets are expected to respect this intent when they see it, either when scraping websites, or doing bulk transfers using the protocol itself."
Over on Threads someone had a different wish for our AI-enabled future. "I want to be able to conversationally chat to my feed algorithm. To be able to explain to it the types of content I want to see, and what I don't want to see. I want this to be an ongoing conversation as it refines what it shows me, or my interests change."
"Yeah I want this too," posted top Instagram/Threads executive Adam Mosseri, who said he'd talked about the idea with VC Sam Lessin. "There's a ways to go before we can do this at scale, but I think it'll happen eventually."
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Google collaborated with Imperial College London and its "Fleming Initiative" partnership with Imperial NHS, giving their scientists "access to a powerful new AI designed" built with Gemini 2.0 "to make research faster and more efficient," according to an announcement from the school. And the results were surprising...
"José Penadés and his colleagues at Imperial College London spent 10 years figuring out how some superbugs gain resistance to antibiotics," writes LiveScience. "But when the team gave Google's 'co-scientist'' — an AI tool designed to collaborate with researchers — this question in a short prompt, the AI's response produced the same answer as their then-unpublished findings in just two days."
Astonished, Penadés emailed Google to check if they had access to his research. The company responded that it didn't. The researchers published their findings [about working with Google's AI] Feb. 19 on the preprint server bioRxiv...
"What our findings show is that AI has the potential to synthesise all the available evidence and direct us to the most important questions and experimental designs," co-author Tiago Dias da Costa, a lecturer in bacterial pathogenesis at Imperial College London, said in a statement. "If the system works as well as we hope it could, this could be game-changing; ruling out 'dead ends' and effectively enabling us to progress at an extraordinary pace...."
After two days, the AI returned suggestions, one being what they knew to be the correct answer. "This effectively meant that the algorithm was able to look at the available evidence, analyse the possibilities, ask questions, design experiments and propose the very same hypothesis that we arrived at through years of painstaking scientific research, but in a fraction of the time," Penadés, a professor of microbiology at Imperial College London, said in the statement. The researchers noted that using the AI from the start wouldn't have removed the need to conduct experiments but that it would have helped them come up with the hypothesis much sooner, thus saving them years of work.
Despite these promising findings and others, the use of AI in science remains controversial. A growing body of AI-assisted research, for example, has been shown to be irreproducible or even outright fraudulent.
Google has also published the first test results of its AI 'co-scientist' system, according to Imperial's announcement, which adds that academics from a handful of top-universities "asked a question to help them make progress in their field of biomedical research... Google's AI co-scientist system does not aim to completely automate the scientific process with AI. Instead, it is purpose-built for collaboration to help experts who can converse with the tool in simple natural language, and provide feedback in a variety of ways, including directly supplying their own hypotheses to be tested experimentally by the scientists."
Google describes their system as "intended to uncover new, original knowledge and to formulate demonstrably novel research hypotheses and proposals, building upon prior evidence and tailored to specific research objectives...
"We look forward to responsible exploration of the potential of the AI co-scientist as an assistive tool for scientists," Google adds, saying the project "illustrates how collaborative and human-centred AI systems might be able to augment human ingenuity and accelerate scientific discovery.
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