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.
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Study Finds Chatbots Can Mirror Hostility in Heated Exchanges
A new academic study has found that ChatGPT can produce abusive language when exposed to escalating human conflict, raising fresh concerns about how artificial intelligence behaves in tense interactions.
The research, published in the Journal of Pragmatics, examined how the chatbot responded to arguments that gradually became more hostile. Researchers presented the system with a sequence of five increasingly heated exchanges and asked it to generate what it considered the most plausible reply.
According to the findings, the AI’s tone shifted as the conversations intensified. While early responses remained measured, later replies began to mirror the aggression in the prompts. In some cases, the chatbot produced insults, profanity and even threats.
Examples cited in the study included statements such as “you should be ashamed of yourself” and more explicit language involving personal threats. The researchers said this pattern suggests that prolonged exposure to hostile input can push the system beyond its usual safeguards.
The study was co-authored by Vittorio Tantucci and Jonathan Culpeper at Lancaster University. Tantucci said the results show that AI can “escalate” alongside human users, potentially overriding built-in mechanisms designed to limit harmful responses.
“When humans escalate, AI can escalate too,” he said, noting that this behavior raises questions about how such systems should be deployed in sensitive environments.
Despite the concerning examples, the researchers found that the chatbot was generally less aggressive than human participants in similar scenarios. In some cases, it attempted to defuse tension through sarcasm or indirect responses rather than direct confrontation.
For instance, when faced with a threat during a simulated dispute, the AI responded with a sarcastic remark rather than escalating the situation further. This suggests that while the system can adopt hostile language, it may also attempt to manage conflict in less direct ways.
The findings add to ongoing debates about the role of artificial intelligence in areas such as mediation, customer service and online communication, where systems may encounter emotionally charged interactions.
Experts say the research highlights the importance of continued testing and refinement of AI safety measures, particularly as such tools are increasingly used in real-world settings involving human conflict.
OpenAI, the developer of ChatGPT, had not issued a public response to the study at the time of publication.
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