The ads, circulating primarily on TikTok, combine unnatural expressions with awkward speech patterns, triggering community outrage.
Fans on Reddit slammed the ads as ’embarrassing’ and akin to ‘cheap, lazy marketing,’ arguing that Nexon had bypassed genuine collaborators for synthetic substitutes, even though those weren’t subtle attempts.
Critics warned that these deepfake-like promotions undermine the trust and credibility of creators and raise ethical questions over likeness rights and authenticity in AI usage.
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Tredence has launched Milky Way, a multi-agent, multi-turn system that uses autonomous AI agents to accelerate enterprise decision-making. The platform introduces specialised agents that collaborate like digital co-workers, combining reasoning and execution to deliver outcomes at scale.
The system addresses a common challenge: converting enterprise data into timely and actionable insights. The Milky Way incorporates over 15 prebuilt agents across key business roles and more than 50 specialised agents trained on real-world enterprise scenarios.
Agents span critical functions, from marketing analysts optimising campaigns to supply chain analysts anticipating disruptions. Technical agents, such as anomaly detection and Text-to-SQL, complement them by handling operational complexity with accuracy and transparency.
Early trials have shown striking results, with companies reporting up to five times faster insights and 50% lower analytics costs. Global retailers cut manual effort by 60%, while healthcare providers streamlined patient data aggregation and triage, supporting speedier diagnosis.
Designed for enterprise-grade use, Milky Way integrates seamlessly with existing data systems, offering role-based access, full audit trails, and domain expertise. Tredence positions it as a step towards AI agents that deliver context-aware, scalable business outcomes.
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Moving like this empowers enterprises to build AI agents tailored for multimodal understanding, software development, workflow automation and research.
The rollout extends beyond the initial model. Oracle plans to integrate the entire Gemini suite, including video, image, speech, and music generation, as well as vertically specialised models like MedLM for healthcare.
For customers, Oracle simplifies adoption: Gemini access is billed via Oracle Universal Credits, and no new contracts are required. Behind the scenes, OCI’s bare-metal GPU instances ensure optimised compute performance for demanding AI workflows.
This integration further strengthens Oracle’s position in enterprise AI, offering partners and clients a curated, model-agnostic environment that combines AI innovation with operational reliability.
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AI-powered stuffed animals are transforming children’s play by combining cuddly companionship with interactive learning.
Toys such as Curio’s Grem and Mattel’s AI collaborations offer screen-free experiences instead of tablets or smartphones, using chatbots and voice recognition to engage children in conversation and educational activities.
Products like CYJBE’s AI Smart Stuffed Animal integrate tools such as ChatGPT to answer questions, tell stories, and adapt to a child’s mood, all under parental controls for monitoring interactions.
Developers say these toys foster personalised learning and emotional bonds instead of replacing human engagement entirely.
The market has grown rapidly, driven by partnerships between tech and toy companies and early experiments like Grimes’ AI plush Grok.
Regulators are calling for safeguards, and parents are urged to weigh the benefits of interactive AI companions against possible social and ethical concerns.
The sector could reshape childhood play and learning, blending imaginative experiences with algorithmic support instead of solely relying on traditional toys.
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Malaysia has intensified its push to build an AI-ready workforce, with Huawei pledging to train 30,000 local professionals under a new initiative. The plan aligns with Malaysia’s National Cloud Computing Policy, balancing sovereignty and digital economy competitiveness.
Digital Minister Gobind Singh Deo stressed that AI adoption must benefit all Malaysians, highlighting applications from small business platforms to AI-assisted diagnostics in remote clinics. He urged collaboration across industries to ensure inclusivity as the country pursues its digital future.
Huawei’s Gartner recognition for container management highlights its cloud-native strength. Its Pangu models and container products will support Malaysia’s AI goals in manufacturing, healthcare, transport, and ASEAN industries.
The programme will target students, officials, industry leaders, and associations while supporting 200 local AI partners. Huawei’s network of availability zones in ASEAN provides low-latency infrastructure, with AI-native innovations designed to accelerate training, inference, and industrial upgrades.
The government of Malaysia views AI as crucial to achieving its 2030 goals, which aim to balance infrastructure, security, and governance. With Huawei’s backing and a new policy framework, the country seeks to establish itself as a regional hub for AI expertise.
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Priorities include deploying 4G networks in remote regions, expanding public internet services, and reinforcing the Palapa Ring broadband infrastructure.
On the talent front, the government launched a Digital Talent Scholarship and AI Talent Factory to nurture AI skills, from beginners to specialists, setting the stage for future AI innovation domestically.
In parallel, digital protection measures have been bolstered: over 1.2 million pieces of harmful content have been blocked, while new regulations under the Personal Data Protection Law, age-verification, content monitoring, and reporting systems have been introduced to enhance child safety online.
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A fake Telegram Premium website infects users with Lumma Stealer malware through a drive-by download, requiring no user interaction.
The domain, telegrampremium[.]app, hosts a malicious executable named start.exe, which begins stealing sensitive data as soon as it runs.
The malware targets browser-stored credentials, crypto wallets, clipboard data and system files, using advanced evasion techniques to bypass antivirus tools.
Obfuscated with cryptors and hidden behind real services like Telegram, the malware also communicates with temporary domains to avoid takedown.
Analysts warn that it manipulates Windows systems, evades detection, and leaves little trace by disguising its payloads as real image files.
To defend against such threats, organisations are urged to implement better cybersecurity controls, such as behaviour-based detection and enforce stronger download controls.
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Alibaba International has introduced Accio Agent, a new AI tool that simplifies and accelerates cross-border trade. The company says it is the world’s first AI platform explicitly tailored for business-to-business transactions, aiming to help small- and medium-sized enterprises (SMEs) design products, research markets, and connect with distributors in just minutes.
Unlike traditional processes that often stretch into weeks, Accio Agent combines multiple product development and distribution stages into a single streamlined workflow. From drafting prototypes and checking compliance rules to identifying suppliers and finding distributors, the tool automates roughly 70 percent of the tasks typically requiring a team of specialists.
Alibaba International Vice President Kuo Zhang described the launch as a direct response to challenges SMEs face in competing globally.
‘This is an AI agent designed to act as a sourcing manager, product developer, engineer, and market researcher all at once,’ he said, calling it a practical fix for everyday hurdles in international trade.
The platform arrives at a time when micro-businesses are increasingly shaping global commerce. A recent Alibaba survey found that 40 percent of SMEs worldwide operate as single-person companies, often constrained by time and resources.
Accio Agent, armed with data on one billion products and 50 million distributors, offers these smaller firms a way to scale their operations without adding staff.
The broader context also suggests strong momentum for AI in e-commerce. Research from Coherent estimates that AI-related applications in the sector will soar from $7.7 billion in 2025 to nearly $38 billion by 2032.
Meanwhile, UN Trade and Development reports that the value of global trade reached a record $33 trillion in 2024, underscoring the size of the market Alibaba aims to reshape.
Parag Agrawal, the former Twitter chief executive removed after Elon Musk’s takeover in 2022, has re-entered the technology sector with a new venture.
His company, Parallel Web Systems, is developing AI tools designed to help AI agents gather and analyse information online without human input.
The company’s first product, Deep Research API, outperforms human researchers and advanced models such as OpenAI’s GPT-5 on specific benchmarks.
Agrawal revealed that the system already supports millions of tasks daily and is used by coding agents to locate documents and fix errors. Parallel has secured 30 million dollars in funding and employs around 25 staff.
Agrawal had been Twitter’s chief technology officer before succeeding Jack Dorsey as chief executive in late 2021. After leaving the company, he returned to academic research and coding instead of joining other struggling firms.
He has argued that the internet will eventually be dominated by AI agents rather than human users, predicting that individuals may soon rely on dozens of agents to act on their behalf.
His views echo predictions from Coinbase developers, who recently suggested that AI agents could become the most significant users of Ethereum.
They propose that autonomous systems can handle stablecoin transfers and e-commerce transactions, enabling services from self-driving taxis to AI-powered content platforms.
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