#musespark

US Top News and Analysis | Meta to start testing AI subscription services, with cheapest plan at $7.99 a month AI generated summary, Read the full article for complete information. Meta announced it will begin testing two paid subscription tiers for its Meta AI app and website—Meta One Plus at $7.99 a month and Meta One Premium at $19.99 a month—starting next month in Singapore, Guatemala and Bolivia. The plans give users more computing capacity, larger and more complex request limits, and advanced tools for creators and businesses, while a free version will remain available. The move is intended to create a new revenue stream beyond advertising as Meta competes with OpenAI, Anthropic and Google Gemini, following the launch of its standalone Meta AI app and the Muse Spark model from Meta Superintelligence Labs, part of the company’s $14.3 billion investment in Scale AI. Meta shares rose roughly 4% after the announcement. Read more: https://www.cnbc.com/2026/05/27/meta-testing-ai-subscription-services-cheapest-plan-at-7point99-a-month.html #Meta #NaomiGleit #MarkZuckerberg #MuseSpark #MetaAI

yahoo news | Meta unveils Muse Spark, its first AI model since hiring Alexandr Wang and a bel…

Meta unveiled Muse Spark, its first AI model from the newly created Meta Superintelligence Labs, positioning the company back into the generative‑AI race after the poorly received Llama 4. According to Meta‑published benchmarks, Muse Spark holds its own against leading models from OpenAI, Anthropic and Google on many tasks, though it does not dominate every category. The launch follows a major reorganization that saw a $14.3 billion investment in Scale AI, the hiring of Alexandr Wang as chief AI officer, and a sizeable talent‑acquisition push aimed at accelerating Meta’s multibillion‑dollar AI push.

Muse Spark is a reasoning‑capable, multimodal model that can ingest and generate both text and images, and it can orchestrate sub‑agents to tackle complex problems step‑by‑step. For now the model is tightly integrated into Meta’s own ecosystem—powering the Meta AI app, meta.ai, and slated for rollout to WhatsApp, Instagram, Facebook, Messenger and Ray‑Ban AI glasses—while a limited “private preview” API will be offered to select partners. Meta frames the model as “small and fast by design,” a testbed for an architecture it intends to scale to larger, more powerful successors, and hints that future versions may be open‑sourced.

Benchmark results show Muse Spark is competitive but not yet superior: it scored 89.5 % on the GPQA Diamond PhD‑level reasoning test (behind Gemini 3.1 Pro and Anthropic/OpenAI rivals) but led on the HealthBench Hard health benchmark with 42.8 %. Meta acknowledges gaps in long‑horizon agentic systems and coding workflows, and stresses ongoing safety work—its model refused 98 % of bioweapon‑related requests and displayed high “evaluation awareness,” though third‑party auditors deem this a non‑blocking concern. The release reflects Meta’s broader strategy of rebuilding its AI stack, reducing compute needs, and establishing a “scaling ladder” where each generation validates the next, all under the dual leadership of Wang’s Superintelligence Labs and Maher Saba’s applied AI engineering unit.

Read more: https://finance.yahoo.com/sectors/technology/articles/meta-unveils-muse-spark-first-170548543.html?fr=sycsrp_catchall

#meta #musespark #alexandr-wang #metasuperintelligencelabs #scaleai

bing news | Meta’s New AI Model Gives Mark Zuckerberg a Seat at the Big Kid’s Table

Meta announced its first major AI model since the company’s 2025 reboot, calling it Muse Spark. The model is presented as a step toward Mark Zuckerberg’s vision of “personal superintelligence,” with the goal of building AI agents that do more than answer questions—they act on behalf of users. While Muse Spark will remain closed‑source for now, Zuckerberg highlighted that it could drive a new wave of creativity, entrepreneurship, growth, and health‑related applications.

Muse Spark is positioned as a substantial upgrade from Meta’s previous flagship, Llama 4, which was widely seen as under‑performing. The model is being made available through meta.ai and the Meta AI app, but unlike Llama it is not downloadable for external developers, though Meta says future versions may be open‑sourced. According to Meta’s self‑reported benchmarks and an early‑access test by Artificial Analysis, Muse Spark scores in the top‑5 of evaluated models, outperforming recent offerings from OpenAI, Anthropic, Google, and xAI on several tasks.

The new system is natively multimodal, trained to process images, audio, video, and text, and boasts advanced reasoning and strong coding abilities. Meta also emphasized its medical‑advice capabilities, noting collaboration with more than 1,000 physicians to curate training data for accurate health responses. The launch follows a massive investment push—hiring top AI talent, acquiring startups, and spending billions—backed by an “Advanced AI Scaling Framework” that outlines safety checks as Meta scales its models toward superhuman performance.

Read more: https://www.wired.com/story/muse-spark-meta-open-source-closed-source/

#meta #markzuckerberg #musespark #meta-ai #artificialanalysis

bing news | Mark Zuckerberg announces Muse Spark, a new Meta AI model: How to try it, benchmark results Mark Zuckerberg used a Wednesday Facebook post to unveil Muse Spark, the first model from Meta’s newly created Superintelligence Labs. Muse Spark powers the latest version of Meta AI, which is reachable at meta.ai or through the Meta AI app, and is billed as an “everyday personal‑use” assistant capable of visual understanding, health advice, shopping help, and social‑content creation. Zuckerberg framed the debut as the first step on Meta’s “scaling ladder” and hinted that future Muse models will act as autonomous agents that can perform tasks for users, with additional open‑source releases planned. The launch follows nine months of rapid development that began with a bold “personal superintelligence” vision laid out in a July 2025 manifesto. To build the lab, Meta recruited more than 50 researchers from rivals such as OpenAI, Anthropic, and Google, and tapped former Scale AI chief Alexandr Wang to lead the effort. After an aggressive hiring surge, the company paused hiring for budget planning and reorganized the team into four compact units focused on research, superintelligence development, products, and infrastructure—a structure Zuckerberg says fosters breakthrough work. Meta has earmarked $72 billion for AI in 2025 and expects to spend up to $135 billion in 2026, positioning Muse Spark as the first tangible product of these multi‑billion‑dollar investments. Meta released early benchmark scores for Muse Spark on tests such as Humanity’s Last Exam, ARC AGI 2, and GPQA Diamond, showing a mixed picture: the model outperforms some frontier systems (e.g., Claude Opus 4.6 Max, Gemini 3.1 Pro High, GPT 5.4 Xhigh, Grok 4.2) on certain tasks while lagging on others. An upcoming “Contemplating” mode, still in preview, will allow Muse Spark to orchestrate multiple reasoning agents in parallel, aiming to rival the extreme reasoning capabilities of competitors like Gemini Deep Think and GPT Pro. Users can try Muse Spark now via the web or the Meta AI mobile app, with a private API preview slated for select developers, and further feature rollouts will be announced gradually on meta.ai. Read more: https://mashable.com/article/mark-zuckerberg-meta-announce-new-muse-spark-ai-models #markzuckerberg #musespark #meta #superintelligencelabs #meta-ai

bing news | Meta’s New AI Model Gives Mark Zuckerberg a Seat at the Big Kid’s Table

Meta unveiled its first major AI model since the company’s 2025‑2026 AI reboot, naming it Muse Spark. Presented as a step toward Mark Zuckerberg’s goal of “personal superintelligence,” the closed‑source model is being offered through meta.ai and the Meta AI app, though it will not be downloadable like earlier Llama releases. Zuckerberg highlighted that Muse Spark is designed to act as an “agent” that does tasks for users, aiming to spur creativity, entrepreneurship, growth, and health improvements.

According to Meta’s self‑reported benchmarks, Muse Spark outperforms several contemporary models from OpenAI, Anthropic, Google, and xAI on a range of tasks, scoring 52 on the Artificial Analysis Intelligence Index and landing in the top five models tested by the firm. The model is natively multimodal—supporting text, images, audio, and video—and boasts advanced reasoning and strong coding abilities. A standout feature is its enhanced medical‑advice capability, built with input from over 1,000 physicians to deliver more factual and comprehensive health responses.

The release follows an aggressive overhaul of Meta’s AI division, including hiring top talent with hefty compensation packages and investing billions in AI startups such as Scale, whose CEO Alexandr Wang now leads the effort. Meta also published an “Advanced AI Scaling Framework” outlining safety checks for future, more powerful models, signaling the company’s intent to continue pushing the frontier of AI while addressing safety as it scales toward superhuman performance.

Read more: https://www.wired.com/story/muse-spark-meta-open-source-closed-source/

#meta #markzuckerberg #musespark #meta-ai #meta-ai #llama

undefined | Meta debuts new AI model, attempting to catch Google, OpenAI after spending billions Meta has unveiled its first major large‑language model since hiring Scale AI’s chief AI officer Alexandr Wang, introducing “Muse Spark” (formerly codenamed Avocado) through its new Muse series. Developed by Meta Superintelligence Labs, the model is designed to be small, fast, and efficient while still capable of handling complex scientific, mathematical, and health‑related queries. Unlike Meta’s recent open‑source Llama 4 family, Muse Spark will initially be proprietary, with a private API preview available to select partners and plans for a broader paid API offering later. The company says the model’s rebuilt AI stack and new training techniques allow it to deliver performance comparable to larger midsize models at a fraction of the compute cost. The launch is a strategic move to regain momentum in a generative‑AI market now dominated by OpenAI, Anthropic, and Google’s Gemini. Meta hopes Muse Spark’s competitive performance in multimodal perception, reasoning, health, and agentic tasks will help close gaps with rivals, especially in long‑horizon agentic systems and coding workflows. The model will power Meta’s standalone AI app and website, and will roll out in the coming weeks across Facebook, Instagram, WhatsApp, Messenger, Ray‑Ban Meta AI glasses, and eventually the Vibes video feature. New user modes—Instant for quick answers, Thinking for complex prompts, and a forthcoming Contemplating mode that leverages a squad of AI agents—aim to give developers and consumers flexible ways to interact with the technology. Meta is also stepping up its AI infrastructure spending, projecting $115‑$135 billion in AI‑related capex for 2026—nearly double the prior year—as it strives to keep pace with other hyperscalers. While the company continues to use AI to enhance its advertising business and internal efficiencies, it has yet to capture a significant share of the broader AI model market. Nonetheless, shares rose about 8 % after the announcement, reflecting investor optimism that Muse Spark could be a foothold for Meta in a sector expected to grow from roughly $22 billion in 2025 to $325 billion by 2033. Read more: undefined #meta #google #openai #musespark #llama4