Category: Artificial intelligence

  • WhatsApp Launches AI Summaries for Unread Messages

    WhatsApp Launches AI Summaries for Unread Messages

    Key Takeaways

    1. WhatsApp launched a new feature called Message Summaries that condenses unread messages using Meta AI.
    2. The feature is easy to use; users can tap on unread message counts to view bulleted summaries.
    3. Message Summaries employs Private Processing technology, ensuring user privacy by not sharing information with Meta or others.
    4. The feature is optional and turned off by default, with privacy settings allowing users to control AI access in chats.
    5. Meta plans to introduce advertisements on WhatsApp and channel subscriptions for users to subscribe to preferred channels.


    WhatsApp, the well-known messaging platform owned by Meta, has launched a new feature called Message Summaries. This tool leverages Meta AI to condense unread messages within a chat. For those who don’t know, Meta AI serves as an AI-based helper in WhatsApp, assisting users in crafting messages, creating images, and handling various other tasks.

    Simple to Use

    Using the Message Summaries feature is pretty easy: just tap on the count of unread messages, and Meta AI will provide a bulleted list of the summaries. Meta claims that this innovative feature employs Private Processing technology, which establishes a secure cloud space for generating these summaries. This technology also guarantees that the responses are not shared with Meta or any external parties. Moreover, other members in the chat won’t receive notifications about the summary.

    Optional and Privacy-Focused

    Message Summaries is an optional feature and is turned off by default. Users can choose which chats can access AI functions in the ‘Advanced Chat Privacy’ settings. Currently, Message Summaries is being rolled out in English for users in the United States. Meta has plans to extend this feature to additional languages and regions later this year.

    New Advertising Plans

    In addition to Message Summaries, Meta has recently revealed its intention to introduce advertisements on WhatsApp. These ads will appear in the “Updates” tab. Furthermore, WhatsApp is introducing channel subscriptions, allowing users to subscribe to their preferred channels for a monthly charge.

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  • SEAL Demonstrates Continuous Evolution of AI Thinking

    SEAL Demonstrates Continuous Evolution of AI Thinking

    Key Takeaways

    1. SEAL (Self-Adapting Language Models) allows AI to learn and adapt in real-time without heavy developer input.
    2. The continuous adaptation process involves condensing new data and modifying internal configurations through “self-edits.”
    3. SEAL tests its changes through short retraining, improving performance significantly in various tasks, such as increasing accuracy in quizzes and puzzles.
    4. This framework enables AI to generate its own training materials and adjust to user preferences autonomously.
    5. Researchers identify three main challenges that need to be addressed for SEAL to reach its full potential.


    Artificial intelligence is becoming more and more flexible; it can create images, compose poems, and develop applications. However, one major drawback still exists: current systems find it difficult to truly go beyond their original coding. That’s where a new idea from the Massachusetts Institute of Technology (MIT) comes into play. Known as SEAL, which stands for Self-Adapting Language Models, this framework allows large language models to function more like learning entities. SEAL enables these models to absorb new information, form their own insights, and refresh their knowledge in real-time—without depending on outside data or heavy developer input. The research paper was released on June 12 on arXiv.

    The Continuous Adaptation Process

    “Especially in the corporate world, it isn’t enough to just pull data; systems need to be able to evolve nonstop,” states MIT PhD student Jyothish Pari. SEAL is built to achieve this goal through a continuous two-step approach. First, the AI condenses new data, creates pertinent examples, and modifies its internal configurations. These adjustments are known as “self-edits.”

    Testing and Validation of Changes

    Next, the system immediately tests its self-edits: it undergoes short retraining with the new tweaks and is assessed to determine if its responses genuinely improve. SEAL keeps the changes only if the results demonstrate a noticeable performance boost. Comparative evaluations validate the efficiency of this technique: in a question-and-answer quiz without supporting content, the accuracy of the Qwen 2.5-7B model increases from 33.5% to 47%. In the more difficult ARC puzzles—logic-based challenges from the Abstraction & Reasoning Corpus—performance even rises to 72.5%, over three times the model’s initial score.

    A New Era of AI Learning

    With this ongoing cycle, SEAL behaves almost like a conscious being: whenever new information or queries emerge, the model “ponders” on what is important, generates its own examples, and modifies its settings to better utilize what it has absorbed. Since this process is continuous, the AI is always in a state of learning. It no longer needs separate developer fine-tuning but instead leverages incoming texts to serve as training materials—creating its own data spontaneously.

    SEAL opens up multiple opportunities at once. In the future, chatbots could seamlessly adjust to users’ individual preferences without having to transmit sensitive information to external servers. Research and development tools might also evolve more autonomously—adapting to changing project demands without needing retraining each time. Even if publicly available textual data becomes limited, SEAL can produce its own training materials through self-generated examples, providing a clever way to navigate possible data shortages.

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  • DeepSeek Accused of Evading U.S. Export Controls on Nvidia Chips

    DeepSeek Accused of Evading U.S. Export Controls on Nvidia Chips

    Key Takeaways

    1. DeepSeek’s Military Ties: The U.S. State Department accuses DeepSeek of knowingly assisting China’s military and intelligence operations through various defense projects.

    2. Export Control Evasion: DeepSeek allegedly attempted to circumvent U.S. export regulations to acquire Nvidia H100 chips using shell companies and foreign data centers.

    3. Data Sharing Concerns: DeepSeek is claimed to be supplying user data and analytics to Chinese state-controlled surveillance systems under local laws.

    4. Discrepancies in Chip Acquisition: While DeepSeek is believed to have some Nvidia H100 chips, it reportedly owns far fewer than previously suggested, with Nvidia asserting compliance with export regulations.

    5. Skepticism Over Performance Claims: Independent analysts question DeepSeek’s claims of matching U.S. technology, raising doubts about its rapid growth reliant on U.S. tech and resources.


    A senior official from the U.S. State Department has stated that the AI company DeepSeek is “knowingly” aiding China’s military and intelligence operations while attempting to evade American export regulations to obtain the latest Nvidia H100 accelerators. This assessment, initially revealed by Reuters, represents a significant public condemnation from Washington towards the Hangzhou-based startup.

    DeepSeek’s Involvement with the PLA

    Records from procurement indicate that DeepSeek has engaged in over 150 projects for the People’s Liberation Army and various defense-related organizations. Under Chinese law, companies are required to provide data when requested by authorities. However, the official claims that DeepSeek is actively delivering user data and usage analytics to state-controlled surveillance systems.

    Alleged Attempts to Bypass Export Controls

    The same source claims that DeepSeek attempted to acquire H100 chips through shell companies located in Southeast Asia and sought to utilize foreign data centers to gain remote access to U.S. hardware—actions aimed at circumventing restrictions set in 2022. Three sources in the industry informed Reuters that while the startup does possess some H100 chips, it is likely to have far fewer than the 50,000 units speculated earlier this year. Nvidia disputes this claim, asserting that internal investigations reveal DeepSeek acquired only the export-compliant H800 model.

    Skepticism Surrounding DeepSeek’s Claims

    DeepSeek gained attention in January when it announced that its DeepSeek-V3 and DeepSeek-R1 models either matched or surpassed leading U.S. technologies “at a much lower price.” However, independent analysts contest this assertion, suggesting the actual training costs probably exceeded $5.6 million. Washington’s recent concerns contribute to growing doubts about the company’s rapid growth, which appears to significantly rely on U.S. technology and resources.

    DeepSeek has not responded to inquiries regarding its privacy policies, chip purchases, or alleged military collaborations. Nvidia has stated it does not endorse any parties that violate export regulations and emphasizes that current controls have effectively barred it from the Chinese data center market. Meanwhile, Malaysia’s trade ministry is investigating whether an unnamed Chinese company is using Nvidia-powered servers in the country for training large language models, highlighting regional caution against similar circumventions.

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  • Neura’s 4NE1 Robot: Germany’s Response to Musk’s Optimus

    Neura’s 4NE1 Robot: Germany’s Response to Musk’s Optimus

    Key Takeaways

    1. Neura Robotics introduced its humanoid robot 4NE1 at the Automatica event in Munich, aiming to launch by the end of 2025 to compete with Tesla’s Optimus.
    2. The 4NE1 robot is designed for versatility, capable of performing tasks like ironing, unloading dishwashers, and lifting heavy objects up to 220 pounds.
    3. It features advanced full-body sensors, precise motor skills, voice command capability, and 360-degree awareness for safe and independent operation.
    4. Neura Robotics is expanding its offerings with the introduction of “MiPA,” a compact robot for household and service tasks.
    5. The company supports a collaborative software platform called “Neuraverse” for robots to share abilities and learn from each other, backed by partners like Vodafone, SAP, and Nvidia.


    Metzingen/Munich, June 24, 2025 – During the Automatica event in Munich, the German robotics company Neura Robotics introduced its latest humanoid robot, 4NE1, which is pronounced “for anyone.” The company’s ambitions are high, aiming to launch this robot by the end of 2025 to compete directly with Tesla’s Optimus and penetrate the global market for cognitive robotics. CEO David Reger stated at the event, “We are the first firm to bring cognitive humanoid robots to the mass market.”

    Specifications and Features

    Measuring approximately 5 feet 11 inches tall and weighing nearly 110 pounds, 4NE1 is more than a simple robotic arm on legs. It is advertised as a genuine partner, whether in homes, workshops, or factories. With state-of-the-art full-body sensors, precise motor skills, voice command capability, and 360-degree awareness, this humanoid is designed to function safely and independently.

    Reger mentioned, “It won’t be long before robots make everyday life easier for everyone – whether at home or on the job.” The 4NE1 is programmed to perform tasks such as ironing, unloading dishwashers, and lifting heavy objects up to 100 kg (around 220 pounds). In industrial environments, it is expected to navigate freely in chaotic spaces and adjust to changes instantly.

    Additional Innovations

    Additionally, the Automatica fair showcased “MiPA,” a compact robot intended for household and service tasks, further expanding the company’s offerings.

    A significant aspect of their strategy involves the “Neuraverse” – an open software platform that allows robots to share their abilities and learn from each other. This system is backed by partners such as Vodafone for 5G support, along with SAP and Nvidia.

    Founded in Metzingen, Bavaria, in 2019, Neura Robotics currently has around 600 employees and positions itself as Europe’s leading entity in humanoid robotics. With 4NE1, the company strives to transform cognitive robotics. They aim to deliver five million units for home and industrial purposes by 2030. With €120 million in funding and an order volume surpassing €1 billion, Neura Robotics is in a solid position.

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  • Brain Implant Translates Thoughts to Speech, Surpassing Neuralink

    Brain Implant Translates Thoughts to Speech, Surpassing Neuralink

    Key Takeaways

    1. A new “brain-to-voice neuroprosthesis” allows a 45-year-old ALS patient to regain communication using brain signals.
    2. The system uses 256 microelectrodes to interpret brain activity related to speech, translating it into spoken words in just 25 milliseconds.
    3. Advanced AI algorithms enable real-time translation of brain signals into synthesized speech, capturing vocal intonation for emotional expression.
    4. Researchers employed a voice-cloning AI, creating a synthesized voice resembling the patient’s original voice, enhancing emotional connection.
    5. The technology is still in the proof-of-concept stage, with current accuracy in understanding speech at about 56%, indicating the need for further improvements.


    Published on June 11 by UC Davis Health, this study signifies a major leap from earlier technologies that primarily focused on turning brain signals into text. The innovative system has enabled a 45-year-old volunteer with amyotrophic lateral sclerosis (ALS)—a condition that silenced his voice—to regain a form of communication that many thought was unattainable.

    How It Works

    The “brain-to-voice neuroprosthesis” operates by interpreting the brain’s desire to speak. Researchers placed 256 microelectrodes into the part of the patient’s brain that manages speech muscles. As the man tries to speak, the brain-computer interface (BCI) catches these signals and, with the assistance of a sophisticated AI model, transforms them into spoken words in merely 25 milliseconds.

    Real-Time Translation

    Utilizing cutting-edge AI algorithms, the system translates brain activity into synthesized speech instantly. The researchers trained the system with neural recordings taken when the participant attempted to read sentences displayed on a screen. By correlating the firing patterns of numerous neurons with the desired speech sounds, the algorithm effectively learned to recreate the participant’s voice directly from his brain signals.

    The BCI doesn’t only generate flat words; it adeptly captures and reproduces vocal intonation—the slight changes in pitch and tone that are essential for conveying meaning and emotion in human communication. Through a series of impactful demonstrations, the patient was able to:

    Voice Cloning Innovation

    To add to the significance of this breakthrough, the researchers applied a voice-cloning AI that had been trained on older recordings of the patient made before he lost his voice. The outcome was a synthesized voice that resembled his own, which the patient remarked “made me feel happy, and it felt like my real voice.”

    Despite this technology being a remarkable advancement, the researchers remind us that it remains in the proof-of-concept stage. In trials where human listeners transcribed the output from the BCI, they accurately understood what the patient was saying only about 56% of the time. More enhancements will be necessary to boost its effectiveness.

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  • Deepseek Supports China’s Military Operations, Says US Official

    Deepseek Supports China’s Military Operations, Says US Official

    Key Takeaways

    1. DeepSeek’s Initial Claims: DeepSeek claimed its tools were equal or superior to American competitors upon its debut in January 2025.

    2. Allegations of Military Support: A State Department official revealed that DeepSeek allegedly provides aid to China’s military and intelligence efforts, beyond just open-source access.

    3. Data Sharing Issues: Concerns have arisen about DeepSeek sharing user data with China’s surveillance system amid ongoing U.S.-China trade tensions.

    4. Links to Chinese Military: DeepSeek is reportedly linked to the Chinese People’s Liberation Army and has been accused of using tactics to bypass U.S. export controls for advanced chips.

    5. Nvidia Access and Investigations: DeepSeek has significant access to Nvidia’s information, raising concerns about potential remote access to U.S. chips by China, prompting further investigations.


    When DeepSeek made its debut in January 2025, it created quite a stir by asserting that its tools were on par with or even better than those of its American rivals. However, the company is now facing a significant scandal after a senior official from the State Department revealed shocking information to Reuters.

    Serious Allegations Unfold

    In a confidential interview, the official stated, “We are aware that DeepSeek has willingly provided and will probably continue to provide aid to China’s military and intelligence efforts.” This official, who requested to remain unnamed, elaborated, “This action goes far beyond mere open-source access to DeepSeek’s AI models.”

    Data Sharing Concerns

    Amid the ongoing trade tensions between the U.S. and China, the official claimed that DeepSeek has shared user data and analytics through the surveillance system employed by Beijing. Moreover, since companies like Amazon, Alphabet, and Microsoft offer DeepSeek’s services to their clients, there are serious worries regarding potential data breaches.

    Infrastructure and Military Links

    U.S. lawmakers have pointed out that DeepSeek sends American data to China via backend systems linked to China Mobile, a state-owned telecom giant. Additionally, the company appears in procurement documents over 150 times related to the Chinese People’s Liberation Army and other defense-related organizations in China. The official alleged that DeepSeek has employed various tactics to bypass export controls to obtain advanced chips made in the U.S.

    Nvidia Data Access

    It’s important to recognize that DeepSeek has considerable access to Nvidia’s information. Nonetheless, due to the current restrictions, there are suspicions that China might have remote access to U.S. chips. Furthermore, U.S. officials have yet to blacklist DeepSeek and have not asserted that Nvidia was aware of any collaboration between DeepSeek and the Chinese military. As a result, additional investigations are set to occur in the upcoming days, potentially leading to new findings.

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  • SoftBank to Build $1 Trillion AI Hub in Arizona with TSMC

    SoftBank to Build $1 Trillion AI Hub in Arizona with TSMC

    Key Takeaways

    1. SoftBank, along with OpenAI, Oracle, and MGX, plans to invest up to $500 billion in AI infrastructure through the Stargate project initiated by the Trump administration.
    2. Masayoshi Son aims to create a $1 trillion complex in Arizona, called “Project Crystal Land,” focusing on AI and robotics to compete with China’s Shenzhen complex.
    3. The initiative supports the revival of high-tech manufacturing in the US, emphasizing robotics and AI-driven industrial infrastructure.
    4. TSMC’s involvement is still uncertain, and SoftBank is seeking partnerships with other tech giants, including Samsung, to finance the ambitious project.
    5. The collaboration could significantly reshape the US technological landscape, highlighting the role of innovation and infrastructure in economic growth.


    SoftBank is one of the key players teaming up with OpenAI, Oracle, and MGX to invest as much as $500 billion in AI infrastructure and data centers through the Stargate project, which was started by the Trump administration earlier in January this year. However, this collaboration is quite small compared to the ambitious plans that SoftBank’s founder, Masayoshi Son, is working on in the United States. Reports from insiders close to Bloomberg suggest that Son has presented an impressive vision to both TSMC and the Trump administration, aiming to create a massive complex in Arizona that will focus on AI and robotics. If all parties come to an agreement, this project could lead to investments reaching a staggering $1 trillion.

    Aiming for High-Tech Manufacturing

    This initiative is part of a wider push to revive high-tech manufacturing in the US, with an emphasis on robotics and AI-driven industrial infrastructure. Son is confident that the $1 trillion Arizona project, dubbed “Project Crystal Land,” has the potential to compete with the Shenzhen complex in China. The ambition behind this project reflects a broader trend of bringing advanced technology production back to American soil.

    TSMC’s Response and Tax Incentives

    According to reports from Bloomberg, TSMC has yet to release any official remarks about its involvement in this project. Notably, it is said that this initiative is separate from TSMC’s chip fabs located in Phoenix, Arizona, where they recently began producing advanced N4 nodes for various products, including Nvidia’s GPUs. Meanwhile, SoftBank is looking to take advantage of significant tax incentives related to its massive investment. Bloomberg’s sources indicate that discussions with federal and state government officials, including Secretary of Commerce Howard Lutnick, are in the works.

    Son understands that SoftBank alone cannot finance this major undertaking, so they are also looking for partnerships with other technology giants, such as Samsung. Firms benefiting from SoftBank’s Vision Fund, like Agile Robots SE and the soon-to-be-acquired Ampere Computing LLC, are anticipated to establish production facilities at the future Arizona hub.

    Conclusion

    In summary, SoftBank is laying the groundwork for a monumental investment in AI and robotics, with plans that could reshape the technological landscape in the US. Through collaborations and strategic partnerships, the vision of a high-tech future may soon become a reality, highlighting the importance of innovation and infrastructure in driving economic growth.

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  • Supermassive Black Hole in Our Galaxy is Aimed at Earth

    Supermassive Black Hole in Our Galaxy is Aimed at Earth

    Key Takeaways

    1. Advancements in AI and simulations have enabled accurate measurement of the rotation speed of the supermassive black hole, Sagittarius A.
    2. Researchers found that Sagittarius A
    is spinning at nearly its top speed and its rotation axis points directly at Earth.
    3. The findings challenge existing theories about black hole behavior, prompting a reevaluation of current scientific understanding.
    4. Caution is advised in the use of AI, as it is not infallible and further investigations are needed to deepen insights.
    5. The Event Horizon Telescope (EHT) uses very long baseline interferometry, which is sensitive to interference and atmospheric conditions, complicating data interpretation.


    By looking at the heavens, astronomers keep uncovering new wonders, like a planet that’s been hiding in the Kuiper Belt. Lately, though, researchers have made a huge leap in understanding the supermassive black hole located at the heart of the Milky Way by turning their focus to the center of our galaxy.

    Breakthrough with AI

    Thanks to advancements in artificial intelligence and distributed computing simulations, scientists have been able to accurately measure the rotation speed of this black hole. This significant achievement was shared in the journal Astronomy & Astrophysics, and it relies on a neural network that was trained using various computer-generated black hole simulations.

    In their research, they employed a Bayesian method to calculate the error margins in their data. This approach enabled them to juxtapose the observations from the Event Horizon Telescope with realistic models of black holes.

    Findings About Sagittarius A

    Using this method, researchers found that Sagittarius A, the supermassive black hole in our galaxy, which spans 12 million kilometers in diameter, is spinning at nearly its top speed. Furthermore, its rotation axis is pointed directly at Earth.

    This revelation has stirred considerable excitement among scientists. It’s important to note that some preconceived notions about black hole behavior have been challenged due to this finding, prompting a necessary reevaluation of existing theories.

    Caution with AI

    Yet, it’s essential to recognize that while artificial intelligence can achieve remarkable tasks, it is not infallible. The scientists involved in this study will need to conduct additional investigations and explore their results further, utilizing advanced computational tools to gain deeper insights.

    Additionally, the Event Horizon Telescope (EHT) is a network of devices dispersed across the globe that operate in unison. The EHT relies on long electromagnetic waves, reaching up to a millimeter in length, to assess the photon radius around a black hole.

    However, this method, known as very long baseline interferometry, is extremely susceptible to interference and atmospheric moisture. This sensitivity can complicate the researchers’ efforts to interpret the data they collect.

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  • Amazon CEO Urges Employees to Prepare for AI Revolution

    Amazon CEO Urges Employees to Prepare for AI Revolution

    Key Takeaways

    1. Amazon is heavily investing in artificial intelligence to enhance efficiency and competitiveness.
    2. CEO Andy Jassy acknowledges that generative AI will change how work is performed, potentially reducing the need for certain roles.
    3. The company anticipates a shrinking workforce as AI tools are adopted broadly, though no specific timelines for layoffs are provided.
    4. Employees are encouraged to learn about AI and engage with it to remain valuable within the company.
    5. Amazon is developing over 1,000 generative AI services and applications to refine workflows and integrate AI into operations.


    Amazon, similar to other large corporations, is pouring significant resources into artificial intelligence. From Alexa+ to AI-driven shopping helpers and AWS for developers, Amazon is weaving AI tools into its operations to enhance efficiency and remain competitive with other major companies. However, this shift poses challenges for human workers, and the CEO has made it clear that certain positions will be replaced by AI systems.

    Thoughts on Generative AI

    In a message directed at Amazon staff, CEO Andy Jassy expressed his views on generative AI and its implications for the company’s future. Discussing various integrations, Jassy noted that these advancements will transform the current methods of work. “As we introduce more Generative AI and agents, it will alter the way our tasks are performed. We will need fewer individuals for some roles that exist now, and more individuals in different types of positions,” he stated.

    Workforce Changes Ahead

    He further explained that in the coming years, the overall workforce at the corporation will shrink as AI tools and functionalities are adopted “extensively” at Amazon. Though there is no set schedule for when these layoffs might occur or which departments will be impacted, the CEO encourages staff to learn about AI and actively engage with it whenever possible. “Those who adapt to this transformation, become knowledgeable in AI, assist in enhancing our internal AI capabilities, and offer value to customers, will be in a strong position to make a significant impact and aid us in reinventing the company,” he remarked.

    The AI Integration Journey

    Amazon aims to substitute part of its human workflow with generative AI and AI agents that can be activated as needed. The company is making strides toward its overarching objective of fully refining workflows through AI, and currently, it has over 1,000 generative AI services and applications in development.

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  • New Philips Hue AI Assistant to Boost Smart Light Adoption

    New Philips Hue AI Assistant to Boost Smart Light Adoption

    Key Takeaways

    1. The Philips Hue AI Assistant launched for English-speaking users in Belgium, the Netherlands, and Luxembourg in June 2025, with UK access expected in July and worldwide rollout by the end of August.
    2. The assistant helps users create ideal lighting for different moods and occasions, supporting both voice and text commands.
    3. Users can provide feedback on suggestions through like and dislike buttons, enhancing the assistant’s learning.
    4. Future updates will allow users to set schedules and create automations, with in-app support also coming soon.
    5. Signify recently introduced the Philips Hue Play Smart Wall Washer, priced at $219.99.


    Signify has shared additional information about the launch of the new Philips Hue AI Assistant. This feature was initially announced at the beginning of 2025, along with other advancements such as sound detection for smoke alarms and improved compatibility with devices like Amazon Echo and Google Nest Hub.

    Rollout Updates

    The Philips Hue AI Assistant became available to English-speaking users in Belgium, the Netherlands, and Luxembourg in early June. Recently, the company confirmed that UK users will gain access to this feature sometime in July. Signify also intends to introduce the Philips Hue AI Assistant to users worldwide by the end of August, although a specific date has yet to be given. It remains unclear if additional language support will be offered starting in August.

    Functionality and Features

    This generative AI assistant is designed to assist users in creating the perfect lighting for various moods, occasions, or styles. The Philips Hue AI Assistant can search for suitable existing lighting options or create new ones based on user prompts. It supports both voice and text commands, and users can provide feedback on the suggestions using like and dislike buttons. The company has hinted that prompts could include requests such as “Set good makeup lighting” or “Which scene should I set for dinner?”.

    Future Enhancements

    Furthermore, Signify has announced plans to enhance the capabilities of the Philips Hue AI Assistant later this year. Users will soon be able to set schedules and create automations with it. The chatbot will also offer in-app support, although no specific release date for these features has been disclosed. Additionally, the company has recently introduced the Philips Hue Play Smart Wall Washer, which is priced at $219.99.

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