Tech
Meta Launches Muse Spark, Its First Major AI Model in Nine Months
Meta has unveiled its first major AI model in nine months, following a $14.3 billion (€12.24 billion) investment spree and executive hiring push to rival OpenAI and Google. The American tech company introduced the model, called Muse Spark, on Wednesday, claiming it is faster and smarter than its previous technologies.
The company, founded by Mark Zuckerberg, invested $14.3 billion in Scale AI in June 2025 and recruited its CEO and co-founder, Alexandr Wang, to oversee Meta Superintelligence Labs, which houses teams working on foundational AI models. Zuckerberg also embarked on a hiring campaign, bringing in executives from competitors including OpenAI, Anthropic, and Google.
In a blog post, Meta said, “Over the last nine months, Meta Superintelligence Labs rebuilt our AI stack from the ground up, moving faster than any development cycle we have run before. This initial model is small and fast by design, yet capable enough to reason through complex questions in science, math, and health. It is a powerful foundation, and the next generation is already in development.”
Muse Spark is positioned as a significant upgrade over Meta’s last major release, Llama 4, launched in April 2025. The company highlighted that the model excels in advanced reasoning, particularly in scientific, mathematical, and medical queries. To improve its health advice capabilities, Meta worked with over 1,000 physicians to curate training data, aiming for more accurate and comprehensive responses.
The AI model will power the company’s digital assistant in the Meta AI app and website, with planned integration across Facebook, Instagram, WhatsApp, Messenger, and the Ray-Ban Meta AI glasses. A “contemplating mode” will gradually roll out, allowing multiple AI agents to reason in parallel on complex tasks. Meta’s technical blog noted this feature is designed to compete with high-level reasoning in models such as Gemini Deep Think and GPT Pro.
Zuckerberg emphasized on social media that Meta aims to build AI products that “don’t just answer your questions but act as agents that do things for you.” Unlike conventional chatbots, these AI agents operate autonomously, gathering information based on user preferences to assist without direct human commands.
One notable shift for Meta is the move away from open-source AI models. Unlike earlier releases, Muse Spark is not available for public download, meaning access to the technology is currently restricted. The company said the model is initially available only in the United States.
Muse Spark underscores Meta’s aggressive push into the competitive AI market, combining extensive investment, executive recruitment, and technical innovation to challenge the dominance of established players like OpenAI and Google.
Tech
Robotics Firm Says AI-Powered Humanoid Robots Could Carry Weapons by 2027
A U.S. robotics company developing artificial intelligence-powered humanoid robots says weaponised versions of the technology could begin testing as early as next year, following field trials in Ukraine, raising fresh questions about the future of autonomous systems in modern warfare.
Foundation Future Industries, which builds humanoid robots for commercial and military applications, has already tested its Phantom robots in Ukraine in non-combat roles. Chief Executive Officer Sankaet Pathak said the company expects to explore weaponisation after evaluating the results of those pilot programs.
Pathak said public fears are often shaped by science fiction but argued that humanoid robots would not replace existing weapons such as missiles or drones.
“I think we have this psychological reaction, which is like the Terminator, but the reality is not really like that,” he said.
Instead, he believes humanoid robots could be deployed for highly precise military operations where limiting damage to infrastructure and reducing civilian casualties are priorities.
According to Pathak, drones and conventional weapons remain more effective for large-scale attacks, while humanoid robots would be better suited to complex ground missions requiring careful movement through buildings and urban environments.
He added that robots are unlikely to replace drones on the battlefield but could help reduce risks faced by soldiers in increasingly dangerous combat zones.
Currently, there is no international treaty specifically regulating humanoid or autonomous combat robots. Their use falls under existing international humanitarian law, which requires distinction between military targets and civilians during armed conflict.
The issue has drawn increasing attention from the United Nations. Last week, UN Secretary-General António Guterres renewed calls for restrictions on lethal autonomous weapons systems, describing them as “killer robots” capable of selecting and attacking targets without human judgment. The UN has been negotiating a treaty on lethal autonomous weapons since 2023, with proposals calling for a legally binding agreement by 2026.
Pathak argued that humanoid robots should be treated similarly to other precision-guided military systems already in service, including armed drones and unmanned ground vehicles.
Foundation’s robots rely on artificial intelligence built around so-called world models. Unlike large language models that predict text, these systems learn from video, simulations and spatial information to understand physical environments and predict how objects and people move over time.
The company believes these models are essential for creating robots capable of safely navigating complex surroundings.
While concerns persist about advanced AI becoming uncontrollable, Pathak said the greater short-term threat comes from criminals or extremist groups misusing publicly available AI tools for cyberattacks, disinformation campaigns or modifying commercial drones for attacks.
He believes scenarios involving AI independently rewriting its own objectives and improving itself remain several major technological breakthroughs away.
Beyond combat, Foundation sees immediate military uses for its humanoid robots in logistics, reconnaissance and building inspections. Those capabilities have already been evaluated in Ukraine, helping shape the development of the company’s next-generation Phantom 2 robot.
The upgraded model is designed for harsh outdoor conditions, offering waterproof and dustproof protection, an increased payload capacity of around 80 kilograms and greater resistance to impacts.
Foundation currently leases Phantom robots to commercial customers for about $100,000 annually per unit, while military buyers purchase the machines at similar prices. Its investors include Eric Trump, payment company Stripe and venture capital firm Define.
Tech
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Tech
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