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First Rival Android App Store Arrives In the US Play Store

2 weeks 3 days ago
Aptoide has become the first third-party Android app store available directly through Google Play in the U.S. "The change is a direct result of Google's litigation with Epic, which saw a judge rule in 2024 that the Play Store would have to open up to third-party stores," notes The Verge. The change makes rival storefronts far easier to discover and install, potentially opening the door for Epic, Amazon, Samsung, Microsoft and others to distribute their own app stores through Google's store. From the report: Third-party app stores have always been available on Android, which is a more open platform than iOS in that respect. However, until now they've only been available if pre-installed on a device -- as with the Amazon Appstore on Fire tablets or Samsung's Galaxy Store -- or installed via sideloading. Listing rival storefronts within the Play Store makes them much easier for users to find and access. [...] Aptoide itself is relatively little known, but it's likely to be the first of many alternative app stores. It's presumably only a matter of time before the Epic Store makes its own appearance, and the likes of Amazon, Samsung, and other phone manufacturers may also want to put their stores in front of potential customers.

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Wall Street Giants Partner With Nvidia On $500 Billion AI Financing Deal

2 weeks 3 days ago
Nvidia is working with Wall Street heavyweights on a potential $500 billion financing package for AI infrastructure (source paywalled; alternative source). The consortium includes BlackRock's Global Infrastructure Partners, Brookfield Asset Management, Goldman Sachs and KKR. The Financial Times reports: The partnership underscores Nvidia's growing efforts to raise capital for itself and its clients to continue assembling the chips, power production and data centres at the heart of the AI boom. The $5.25 trillion company has positioned itself at the centre of the AI boom, providing chips, infrastructure and software to a wide array of partners developing the technology. Nvidia's graphics processing units, or GPUs, underpin most of the leading US AI models available today. [...] The biggest cloud-computing companies, including Meta, Oracle, Microsoft, Alphabet and Amazon, have dramatically increased their spending on AI infrastructure as they look to win the race to dominate the emerging technology. Morgan Stanley projects so-called hyperscalers will spend $3.5 trillion between 2026 and 2028. That need for capital has forced technology groups to tap every source of cash they can find, including public equity, investment-grade and high-yield bonds, securitized debt, private credit and project finance markets. "[The] sheer size of the AI infrastructure build-out is unprecedented," Jim Zelter, president of Apollo, said on an earnings call earlier this month. "More than $8 trillion of capital is expected to be invested, a staggering sum. We see an enormous opportunity for private capital to finance a portion of this along with public capital."

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Meta's 'Open' Muse Glimmer Model Can Run On a Single Computer

2 weeks 3 days ago
Meta has released Muse Glimmer, a slimmed-down open-weight AI model designed to run locally on a single GPU for agent tasks such as scheduling, file management, coding, and tool use. The release is based on Meta's closed Muse Spark 1.2 model and appears to be aimed at attracting developers who want capable AI agents without relying entirely on cloud-hosted services. Engadget reports: Facebook said that it's making the "weights" that AI systems use to choose responses available to everyone on Hugging Face along with developer documentation. The download is available for free, and users can run the model on their own PCs. The company noted that optimized integrations will land on llama.cpp and other sites, "so you can go from download to working agent in minutes." The model is powerful for its size, according to Meta, with the "strong success rates" on benchmarks like DeepSearch QA, MCP-Atlas and SWE-Bench (which evaluates its ability write and debug code). It also supports reliable tool use, multi-step reasoning, failure recovery, multimodal input and scaffold compatibility for work with OpenClaw and other agent orchestrators. It was trained on data from over 100 languages, the company added. "Rather than centralizing superintelligence, we should distribute it widely and give every person the ability to direct it," CEO Mark Zuckerberg said in an essay accompanying Muse Glimmer's release. "This has the potential to begin a new era of personal empowerment where individuals can use this powerful new capability to reach their full potential, pursue their interests, and improve their lives and the world more than ever before."

Read more of this story at Slashdot.

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