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Baidu, the Chinese tech giant, has unveiled remarkable statistics for its AI-powered chatbot, “Ernie Bot,” showcasing its escalating popularity and market penetration. CEO Robin Li disclosed that Ernie Bot has now amassed over 200 million users, doubling its user base from just a few months ago.

Li further highlighted the staggering usage rate of Ernie Bot’s application programming interface (API), which is being leveraged a whopping 200 million times daily. This indicates the substantial demand for the chatbot’s services, with users frequently relying on it to accomplish various tasks. Additionally, Ernie Bot has secured a significant presence in the enterprise sector, boasting 85,000 enterprise clients.

The announcement comes amidst Baidu’s strategic initiatives to monetize Ernie Bot, with revenue generation efforts already underway. In the fourth quarter alone, Baidu capitalized on AI-driven advancements to enhance its advertising solutions, resulting in substantial earnings amounting to several hundred million yuan. Moreover, the company has extended support to other enterprises in building their AI models, further consolidating Ernie Bot’s position in the market.

Ernie Bot, introduced last March as one of China’s pioneering generative AI chatbots, received official approval for public release in August. Notably, China mandates regulatory approval for the deployment of generative AI services, distinguishing it from many other jurisdictions.

Despite Ernie Bot’s impressive growth, it faces competition from domestic rivals, particularly Moonshot AI’s “Kimi” chatbot, backed by Alibaba. Kimi has exhibited rapid expansion, narrowing the gap with Ernie Bot. Recent data indicates a surge in Kimi’s user visits, with a remarkable 321.6 percent increase in March compared to the previous month.

However, on a global scale, Chinese generative AI services still trail behind their Western counterparts. OpenAI’s ChatGPT remains the world leader in this domain, with a staggering total traffic of 1.86 billion views last month.

China’s intensified focus on AI innovation is evident in its accelerated approvals for AI services, underlining its commitment to compete with the United States in the tech sphere. With 117 large AI models receiving approvals thus far, China continues to position itself as a formidable contender in the global AI landscape.

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OpenAI has come under fire for allegedly transcribing over a million hours of YouTube videos to train its latest large language model, GPT-4. The report sheds light on the desperate measures taken by major players in the AI field to access high-quality training data amidst growing concerns over copyright infringement and ethical boundaries.

According to The New York Times, OpenAI developed its Whisper audio transcription model as a workaround to acquire the necessary data, despite the questionable legality of the endeavor. The company’s president, Greg Brockman, was reportedly involved in collecting videos for transcription, banking on the notion of “fair use” to justify their actions.

Responding to the allegations, OpenAI spokesperson Lindsay Held emphasized the company’s commitment to curating unique datasets for its models while exploring various data sources, including publicly available data and partnerships. The company is also considering generating synthetic data to supplement its training efforts.

Google, another major player in the AI landscape, has also faced scrutiny for its data-gathering practices. While Google denies any unauthorized scraping or downloading of YouTube content, reports suggest that the company has trained its models using transcripts from YouTube videos, albeit in accordance with its agreements with content creators.

Meta, formerly known as Facebook, encountered similar challenges in accessing quality training data, leading its AI team to explore potentially unauthorized use of copyrighted works. The company reportedly considered drastic measures, including purchasing book licenses or acquiring a large publisher, to address the data scarcity issue.

The broader AI training community is grappling with the looming shortage of training data, which is essential for improving model performance. While some propose innovative solutions like training models on synthetic data or employing curriculum learning techniques, the reliance on unauthorized data usage remains a contentious issue, fraught with legal and ethical implications.

As AI continues to advance, the debate surrounding data access and usage rights is expected to intensify, underscoring the need for clearer regulations and ethical guidelines in the field of artificial intelligence.

The revelations from The New York Times investigation shed light on the complex ethical and legal dilemmas faced by AI companies as they navigate the intricate landscape of data acquisition and model training.

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A recent survey conducted by staffing firm Adecco Group has unveiled a concerning trend in the corporate world: a significant number of executives are anticipating workforce reductions within the next five years due to the increasing adoption of artificial intelligence (AI).

According to the survey, a staggering 41% of executives at large companies worldwide are expecting to decrease their workforce as a result of AI implementation. This revelation comes amidst the rapid advancement and widespread adoption of generative AI technology, capable of creating realistic text, images, and videos. While some view AI as a tool to streamline processes and eliminate repetitive tasks, others fear its potential to render entire job roles obsolete.

Denis Machuel, CEO of Adecco Group, emphasized the dual nature of AI’s impact on employment. “AI can be a job killer, and it can also be a job creator,” Machuel stated. He noted that while there is a historical precedent of digital technologies creating new job opportunities, the disruptive nature of AI poses significant challenges.

The survey encompassed executives from 18 industries across nine countries, representing both white-collar and blue-collar sectors. Interestingly, the findings diverge from a previous World Economic Forum poll, where half of the companies believed AI would lead to job creation rather than elimination.

Recent layoffs in the tech industry further underscore these concerns. Companies such as Google and Microsoft have shifted their focus towards AI-driven technologies like ChatGPT and Gemini, resulting in workforce reductions. Even non-tech firms like Dropbox and Duolingo have cited AI adoption as a contributing factor to downsizing efforts.

Economists at Goldman Sachs have previously warned that the widespread adoption of generative AI could potentially impact up to 300 million jobs globally, particularly affecting white-collar workers. The results of the Adecco survey suggest that this prediction may materialize within the next five years, highlighting the urgent need for proactive measures to address the evolving landscape of employment in the age of AI.

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Google is gearing up to infuse its artificial intelligence (AI) technology into Gmail, marking a significant stride towards incorporating AI across its suite of products. With the aim of enhancing user experience and productivity, Google’s AI model, known as Gemini, is set to revolutionize the way users interact with their emails.

The move comes as part of Google’s broader strategy to leverage AI capabilities in its products, a move that underscores the company’s commitment to innovation and improving user engagement. Gemini, alongside other AI initiatives like Bard, is poised to reshape the landscape of digital communication by streamlining processes and offering intelligent solutions.

According to insights shared by Google App Detective AssembleDebug with PiunikaWeb, Google is currently testing Gemini within Gmail, with a focus on suggesting replies. This initiative aligns with Google’s earlier announcement of integrating Gemini functionalities into existing products and services, with initial access granted to Google One AI Premium subscribers.

The integration of Gemini into Gmail holds the promise of enhancing email composition by providing users with intelligent suggestions for responses. Screenshots of the feature in action reveal that Gemini seeks feedback on its suggestions, allowing the AI model to refine its responses based on user input, thereby enhancing its accuracy and relevance over time.

Presently, Google One AI Premium subscribers can leverage Gemini’s capabilities to aid in composing emails. However, the potential implementation of this feature in Gmail for Android opens up new possibilities for users, offering them intelligent assistance right within their email platform. While Gemini’s expansion to Gmail marks a significant milestone, its features are already making headway in other Google products and services, such as Google Messages.

The incorporation of AI into Gmail underscores Google’s commitment to prioritizing AI as a key driver of innovation, particularly in the face of stiff competition. By integrating Gemini into Gmail, Google aims to empower users with smarter, more efficient email management tools, enhancing productivity and user satisfaction.

As Google continues to push the boundaries of AI integration, users can expect to see further enhancements and advancements that revolutionize their digital experiences. With AI at the forefront of its endeavors, Google remains dedicated to delivering cutting-edge solutions that enrich the lives of its users worldwide.

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Hume AI: has introduced Empathic Voice Interface (EVI), a revolutionary conversational AI system imbued with emotional intelligence. EVI stands out by understanding users’ tone of voice, enriching interactions with human-like responses tailored to individual emotional states.

Designed to mimic human conversational nuances, EVI leverages state-of-the-art technology to comprehend and generate expressive speech, honed through extensive training on millions of human dialogues. Developers can seamlessly integrate EVI into various applications using Hume’s API, promising a unique and immersive voice interface experience.

Features of EVI:

  1. Human-Like Tone: EVI responds with tones akin to human expressions, enhancing the conversational experience.
  2. Responsive Language: It adapts its language based on users’ expressions, effectively addressing their needs.
  3. State-of-the-Art Detection: EVI accurately detects the end of conversation turns using users’ tone, ensuring seamless interactions.
  4. Interruption Handling: While halting when interrupted, EVI seamlessly resumes from where it left off.
  5. Self-Improvement: EVI continuously learns from user reactions to enhance user satisfaction over time.

Beyond its empathic features, EVI offers fast, reliable transcription and text-to-speech capabilities, making it versatile and adaptable to various scenarios. It seamlessly integrates with any Language Model Library (LLM), further enhancing its flexibility and utility.

EVI is slated to be publicly available in April, providing developers with an innovative tool to create immersive and empathetic voice interfaces. Developers keen on early access to the EVI API can express their interest by filling out the form on the EVI waitlist.

Established in 2021, Hume is a research lab and technology company dedicated to ensuring that artificial intelligence serves human goals and emotional well-being. Founded by Alan Cowen, a former researcher at Google AI, Hume raised a $50 million Series B funding from prominent investors including EQT Group, Union Square Ventures, and Comcast Ventures.

In a LinkedIn post, Cowen highlighted the significance of voice interfaces, emphasizing their efficiency and ability to convey nuanced information. He underscored EVI’s emotional intelligence as a key differentiator, enabling it to understand and respond to users’ voices beyond mere words.

OpenAI’s Voice Engine and Future Plans

In parallel, OpenAI is developing a Voice Engine equipped with voice and speech recognition, processing voice commands, and converting between text and speech. The Voice Engine aims to provide automatic speech and voice recognition and generation, enhancing interactions with natural language prompts.

Moreover, OpenAI is working on GPT-5, emphasizing multimodality to process video input and generate new videos. With a focus on customization and personalization, GPT-5 aims to leverage user data to enhance user experiences across various applications.

Last year, OpenAI launched the ChatGPT Voice feature, enabling back-and-forth conversations with diverse voices on Android and iOS platforms. The recent partnership with Figure AI underscores OpenAI’s commitment to advancing generative AI-powered humanoids, furthering the integration of AI into daily human interactions.

The Importance of Emotional Intelligence in Conversational AI

Experts underscore the significance of emotional intelligence in conversational AI, emphasizing its role in enhancing user experiences and driving commercial success. The integration of emotional understanding in chatbots holds promise for businesses, offering personalized and empathetic interactions that resonate with users.

Conversational AI systems like EVI and advancements by OpenAI represent significant strides towards realizing the future of empathetic and intuitive human-machine interactions.

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Tech enthusiasts around the globe are eagerly awaiting Apple’s annual Worldwide Developers Conference (WWDC), scheduled to take place from June 10 to June 14. This year’s conference holds particular significance as the tech giant is poised to unveil its highly anticipated artificial intelligence (AI) strategy. With speculation buzzing and expectations soaring, Apple’s upcoming announcements are poised to revolutionize the user experience landscape.

The conference, traditionally a cornerstone event for developers, will once again be hosted for free on Apple’s website and app, catering to a global audience. The opening-day keynote presentations will be held in person at Apple’s Cupertino campus, while the remainder of the conference will be accessible virtually, ensuring inclusivity and accessibility for developers worldwide.

AI Integration Across Platforms
Apple’s AI strategy is expected to be a focal point of the conference, with industry insiders hinting at a slew of innovative AI-driven features aimed at enhancing user productivity and convenience across Apple’s ecosystem. Anticipation is high for the unveiling of the company’s next major software updates for the iPhone, iPad, Mac, Vision Pro headset, and smartwatch, with the AI strategy likely to be a key component of the iOS 18 upgrade.

While rumors have circulated regarding the possibility of Apple introducing its own generative AI chatbot, enthusiasts are speculating that the company may instead opt for strategic partnerships with tech giants like Google and OpenAI to integrate cutting-edge generative AI services into its ecosystem. This collaborative approach underscores Apple’s commitment to leveraging partnerships to deliver groundbreaking technologies to its user base.

Revolutionary Software Overhaul
The iOS 18 update is expected to herald a new era of innovation for Apple, representing the most ambitious software overhaul in the iPhone’s history. Insiders suggest that the update will introduce a host of transformative features and enhancements designed to elevate the user experience to unprecedented levels. Concurrently, minor updates are anticipated for the Apple Watch, while the Vision Pro headset is slated to receive its first major operating system update, further solidifying Apple’s commitment to delivering a seamlessly integrated software ecosystem across its product lineup.

As anticipation builds and excitement mounts, all eyes are on Apple as it prepares to unveil its groundbreaking AI strategy and usher in a new era of innovation at the Worldwide Developers Conference. With the promise of transformative features and collaborative partnerships on the horizon, Apple enthusiasts and industry experts alike are eagerly anticipating the company’s next big reveal.

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In the race to revolutionize the AI chatbot landscape, three industry juggernauts have unveiled their latest offerings: Google’s Gemini Advanced, OpenAI’s ChatGPT Plus, and Microsoft’s Copilot Pro. As businesses and individuals alike seek to enhance productivity and efficiency through AI-powered assistants, the choice between these cutting-edge platforms has become a pivotal decision. Let’s delve into the key aspects to consider when selecting the optimal AI chatbot subscription.

1. Speed and Performance:
Reports indicate that Microsoft’s Copilot Pro leads the pack in terms of speed and performance. With three distinct conversation styles to choose from, users can prioritize speed, creativity, or accuracy according to their needs. However, Google’s Gemini Advanced also holds its ground, leveraging its state-of-the-art “Ultra 1.0” model to outperform GPT-4 in specific tasks.

2. Writing and Content Creation:
For users focused on writing and content creation, OpenAI’s ChatGPT Plus emerges as a frontrunner. Renowned for its ability to produce eloquent and polished written outputs with varied sentence structures and descriptive language, ChatGPT Plus excels in this domain. While Gemini Advanced and Copilot Pro are adept at drafting and ideation, ChatGPT Plus offers unparalleled sophistication in content generation.

3. Coding and Data Analysis:
Developers and data scientists seeking advanced coding and data analysis capabilities will find ChatGPT Plus to be their ideal companion. Its robust functionality includes understanding and processing uploaded files, generating charts and tables, and even running Python code – features not as readily available in Gemini Advanced and Copilot Pro.

4. AI-Generated Images:
In the realm of image generation, ChatGPT Plus gains an edge with DALL-E 3 integration, surpassing Gemini Advanced in quality and adherence to prompts. While Google’s offering may produce a higher volume of images, DALL-E 3 excels in generating visually striking and contextually relevant imagery.

5. Integrations and Ecosystem:
Both Copilot Pro and Gemini Advanced offer deep integrations within their respective ecosystems. Copilot Pro seamlessly integrates with Microsoft 365 apps, while Gemini Advanced promises forthcoming integration with Gmail, Docs, and other Google products. ChatGPT Plus, currently operating as a standalone offering, may lack the ecosystem integration found in its counterparts.

6. Value and Pricing:
In terms of value for money, Gemini Advanced shines with its attractive pricing of $19.99 per month, coupled with additional perks such as 2TB of Google Drive storage. ChatGPT Plus and Copilot Pro, priced at $20 per month, offer comparable functionalities but with fewer supplementary benefits.

Conclusion:
Choosing the right AI chatbot hinges on specific user requirements and preferences. For writers and content creators seeking refined outputs, ChatGPT Plus is the optimal choice. Conversely, developers and data scientists will find ChatGPT Plus indispensable for its coding and data analysis prowess. For users prioritizing Google integration and a well-rounded AI assistant, Gemini Advanced presents an enticing option. Lastly, Microsoft 365 users prioritizing speed may gravitate towards Copilot Pro for its seamless integration and rapid performance.

As the AI chatbot landscape continues to evolve, users are presented with a diverse array of options tailored to their individual needs, marking a significant step forward in AI-powered assistance.

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San Francisco, USA: YouTube, the world’s leading video platform, is set to transform the way users engage with content through the introduction of innovative AI-powered features. Designed to enhance the video exploration experience, these new tools aim to simplify navigation, foster deeper understanding, and spark meaningful discussions among viewers.

Conversational AI Tool: Your Virtual Study Buddy

Imagine having a knowledgeable assistant by your side while watching a YouTube video. With YouTube’s new conversational AI tool, this becomes a reality. Currently undergoing testing with a select group of users, this feature enables viewers to ask questions directly about the video they’re watching. Whether you’re seeking clarification on a concept or craving additional information, the AI assistant is there to provide relevant insights based on the video’s content.

But it doesn’t stop there. The AI tool also offers suggested prompts related to the video, guiding users towards focused discussions or additional resources for further exploration. This interactive feature acts as a virtual study buddy, ensuring viewers grasp key points and facilitating deeper engagement with the content.

Comment Topic Summarization: Streamlining Discussions

Navigating through endless comment sections can be a daunting task. YouTube addresses this challenge with its AI-powered comment topic summarization feature. By analyzing comments left on a video, the platform identifies main discussion topics and presents them in a convenient “Topics” tab within the comments section. Users can simply click on a topic of interest to access relevant discussions, saving time and streamlining their exploration process.

Benefits for All Viewers

These AI-powered features cater to a diverse range of users, offering benefits for learners, enthusiasts, and casual viewers alike:

  • Learning Made Easy: Students and curious minds can leverage the conversational AI tool to enhance their learning experience by asking questions and exploring related prompts.
  • Deeper Dives for Enthusiasts: Movie buffs and enthusiasts can use comment topic summarization to delve into specific aspects of videos, such as cinematography or special effects.
  • Saving Time, Sparking Engagement: The streamlined comment section and interactive AI tool save users time while fostering engagement with the content.

The Future of YouTube

While currently in testing, these AI-powered features represent a significant step forward for YouTube. As AI technology continues to evolve, users can expect even more personalized and interactive experiences on the platform. With tailored recommendations and in-depth conversations with AI assistants, the future of YouTube promises to be one where exploration is not just informative but also engaging and interactive.

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New Delhi: In a stark warning to the medical community worldwide, a prominent American surgeon, Dr. Atul Gawande, has cautioned that doctors failing to utilize artificial intelligence (AI) for early disease detection may face redundancy in the future.

Speaking exclusively to NDTV on Friday, Dr. Gawande, who also serves as the Global Health Chief at the US Agency for International Development (USAID), emphasized the critical role of AI in modern healthcare. “Artificial intelligence will not replace doctors, but a doctor who does not know how to use AI will be replaced by someone who does,” he stated.

Dr. Gawande highlighted the transformative impact of AI in healthcare, citing examples such as AI-powered chest X-ray systems that enable instant assessment of patients’ conditions, leading to quicker treatment and potentially saving lives.

He further underscored the significance of AI in early disease detection, particularly in combating tuberculosis, one of the leading causes of mortality globally. Dr. Gawande emphasized the importance of frontline healthcare workers having access to specialized AI capabilities for faster detection and intervention.

India’s Vital Role in Global Health

Dr. Gawande also praised India’s pivotal role in global health, particularly in vaccine manufacturing. He emphasized India’s capacity to serve as a crucial base for vaccine production, essential for meeting the demands of future pandemics.

Highlighting USAID’s collaboration with Indian manufacturers, Dr. Gawande announced plans to roll out new vaccines, including a low-cost malaria jab, underscoring the significance of such initiatives in advancing global health goals.

Addressing Health Challenges

In addition to discussing the potential of AI in healthcare, Dr. Gawande addressed several pressing health challenges, including antibiotic overuse and air pollution. He emphasized the need for stringent regulation of antibiotic usage to combat antibiotic resistance and highlighted the devastating impact of air pollution on public health.

Dr. Gawande called for robust government engagement and collaborative efforts to address these health challenges effectively. He reaffirmed the United States’ commitment to partnering with India in advancing shared global health and development priorities.

As World Tuberculosis Day approaches, Dr. Gawande’s visit to India serves as a testament to the enduring collaboration between the United States and India in tackling pressing health issues.

Conclusion

Dr. Atul Gawande’s insights shed light on the critical intersection of technology and healthcare, emphasizing the transformative potential of AI in revolutionizing disease detection and treatment. As the world grapples with evolving health challenges, embracing AI-driven solutions becomes increasingly imperative to safeguard public health and well-being.

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NVIDIA, a global leader in AI and computing technology, has launched its highly anticipated Blackwell platform, marking a significant milestone in the world of accelerated computing. This groundbreaking platform introduces a new era of computing, empowering organizations to leverage real-time generative AI on trillion-parameter large language models (LLMs) with unprecedented efficiency.

Trillion-Parameter-Scale AI Models: Powered by the Blackwell GPU architecture, NVLink, and Resilience Technologies, the platform enables the deployment of trillion-parameter-scale AI models.

Optimized Cost and Energy Efficiency: With new Tensor Cores and the TensorRT-LLM Compiler, Blackwell reduces LLM inference operating cost and energy consumption by up to 25x compared to its predecessor.

Breakthroughs in Various Fields: The platform facilitates breakthroughs in data processing, engineering simulation, electronic design automation, computer-aided drug design, and quantum computing.

Wide Adoption: Blackwell has garnered widespread adoption from major cloud providers, server makers, and leading AI companies including Amazon Web Services, Google, Meta, Microsoft, OpenAI, Oracle, Tesla, and more.

Industry Leaders’ Statements:

Sundar Pichai, CEO of Alphabet and Google, emphasized Google’s commitment to investing in infrastructure for AI platforms, highlighting their partnership with NVIDIA to bring Blackwell’s capabilities to Google Cloud customers.

Andy Jassy, president and CEO of Amazon, highlighted the longstanding collaboration between AWS and NVIDIA, underscoring the compatibility of Blackwell with AWS infrastructure for advanced accelerated workloads.

Michael Dell, founder and CEO of Dell Technologies, expressed the importance of generative AI in shaping the future of technology, affirming Dell’s collaboration with NVIDIA to deliver next-generation accelerated products and services.

Demis Hassabis, CEO of Google DeepMind, emphasized the transformative potential of AI in solving scientific problems, acknowledging Blackwell’s role in providing critical compute power for scientific discoveries.

Mark Zuckerberg, CEO of Meta, highlighted the significance of AI in powering various Meta products and services, expressing eagerness to leverage Blackwell to enhance Meta’s AI capabilities.

Satya Nadella, CEO of Microsoft, reiterated Microsoft’s commitment to offering advanced infrastructure for AI workloads, announcing the integration of Blackwell processors into Microsoft’s datacenters globally.

Sam Altman, CEO of OpenAI, underscored Blackwell’s massive performance leaps, expressing excitement about enhancing AI compute capabilities in collaboration with NVIDIA.

Larry Ellison, chairman and CTO of Oracle, emphasized the qualitative and quantitative breakthroughs enabled by Blackwell in AI, machine learning, and data analytics, highlighting its importance for uncovering actionable insights.

Elon Musk, CEO of Tesla and xAI, acknowledged NVIDIA hardware as the best choice for AI applications.

About the Blackwell Platform:

Named after mathematician David Harold Blackwell, the Blackwell platform succeeds the NVIDIA Hopper architecture and features six revolutionary technologies:

World’s Most Powerful Chip

Second-Generation Transformer Engine

Fifth-Generation NVLink

RAS Engine

Secure AI

Decompression Engine

Availability and Partnerships:

Blackwell-based products will be available from partners later this year, including major cloud service providers, server makers, and software developers.

NVIDIA Cloud Partner program companies and sovereign AI clouds will offer Blackwell-based cloud services and infrastructure.

AWS, Google Cloud, and Oracle Cloud Infrastructure plan to host Blackwell-based instances.

Leading server manufacturers, including Cisco, Dell, Hewlett Packard Enterprise, Lenovo, and Supermicro, will deliver servers based on Blackwell products.

Conclusion:

The NVIDIA Blackwell platform represents a monumental leap forward in accelerated computing, ushering in a new era of efficiency, scalability, and innovation. With its transformative capabilities, Blackwell is poised to reshape industries and drive breakthroughs in AI-driven applications worldwide.

To learn more about the NVIDIA Blackwell platform, watch the GTC keynote and register for sessions at GTC, running through March 21.

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