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Category: Artificial Intelligence

  • The AI Pioneer Who Turned Down a ₹13,000 Crore Proposal from Mark Zuckerberg: Meet Andrew Tulloch

    The AI Pioneer Who Turned Down a ₹13,000 Crore Proposal from Mark Zuckerberg: Meet Andrew Tulloch



    Andrew Tulloch: A Key Player in AI Talent Wars

    Andrew Tulloch: A Key Player in AI Talent Wars

    Andrew Tulloch, a prominent figure in the artificial intelligence sector and cofounder of Thinking Machines Lab, has become the focal point of Silicon Valley’s latest high-stakes battle for talent.

    Declining a Massive Offer from Meta

    Reports from The Wall Street Journal indicate that Tulloch recently turned down an astounding compensation package from Meta, valued at up to $1.5 billion (approximately ₹13,142 crores) over six years, despite his history with the firm and the personal engagement of CEO Mark Zuckerberg.

    A Respected Figure in AI

    Tulloch is accustomed to attractive offers. As a regarded name in artificial intelligence and cofounder of Thinking Machines Lab, he has developed a career at the centre of several influential AI projects over the last decade. However, the latest proposal he rejected was unprecedented, even for Silicon Valley.

    Meta’s Initial Bid

    The situation began when Mark Zuckerberg approached Thinking Machines founder Mira Murati with an reported acquisition offer of $1 billion, which she turned down. This prompted a concerted effort to recruit some of her most valuable personnel, with Tulloch at the top of their target list.

    Exceptional Compensation Package

    Meta’s proposal for Tulloch allegedly included a pay package reaching up to $1.5 billion over six years, encompassing salary, bonuses, and stock awards. For Zuckerberg, securing Tulloch would have represented a high-profile recruitment, while for Tulloch, it would mark a return to familiar ground. Having spent over a decade at Meta, he was instrumental in refining its machine learning capabilities and played a key role in the evolution of PyTorch, now crucial in global AI research.

    Career Moves and Recent Developments

    Following his departure in 2023, Tulloch joined OpenAI, contributing to the pre-training and reasoning models for GPT-4. He then collaborated with Murati to establish Thinking Machines Lab earlier this year. Despite the magnitude of Meta’s offer and outreach from former colleagues like Alexandr Wang, now leading Meta’s Superintelligence Lab, Tulloch opted to remain with his new venture. Murati later informed Wired that none of her team members accepted Meta’s proposals.

    Academic Background and Future Prospects

    Tulloch’s academic achievements are impressive alongside his professional accomplishments. He graduated from the University of Sydney with first-class honours and a University Medal in mathematics, holds a Master’s degree from Cambridge, and is working towards a PhD at UC Berkeley. Industry analysts speculate that his choice to stay could be connected to substantial equity in Thinking Machines Lab, which is already valued at over $30 billion.

    Meta’s Response

    Meta has contested both the figures and the extent of its recruitment initiatives. Spokesperson Andy Stone labelled the reported sums as “inaccurate and ridiculous,” noting that any compensation package would depend on stock performance.

    Standing Firm in the AI Talent Race

    In the escalating competition for AI talent, Tulloch’s decision is particularly notable as it exemplifies a rare occasion where even an extravagant offer was insufficient in deterring an engineer from pursuing his own vision.


  • Rising Costs: India Faces ₹220 Million Average Data Breach Expense by 2025, AI Vulnerabilities Identified – IBM Study

    Rising Costs: India Faces ₹220 Million Average Data Breach Expense by 2025, AI Vulnerabilities Identified – IBM Study


    Data Breach Cost in India: Impact of AI in 2025

    The focus keyword “Data Breach Cost” highlights a significant concern for businesses in India, with the average expense of a data breach elevating to ₹220 million in 2025. This marks a 13 percent rise from the previous year, according to IBM’s latest Cost of a Data Breach Report. The findings indicate that while companies are quickly embracing AI, the measures for security and governance are not keeping up, making them appealing targets for cybercriminals.

    Insights from IBM’s Report on Data Breach Cost

    The report represents the inaugural examination by IBM of security, governance, and access controls specifically related to AI. It has uncovered that only 37 percent of Indian organisations have properly established AI access controls, while almost 60 percent either do not possess AI governance policies or are in the process of formulating them.

    The Urgent Need for AI Governance

    According to Viswanath Ramaswamy, Vice President of Technology at IBM India & South Asia, the rapid adoption of AI in India offers substantial opportunities but also presents new and intricate cyber threats. The report indicates a critical gap; although AI is being integrated swiftly into business operations, security and governance are lagging. The lack of access controls and governance tools regarding AI is not merely a technical issue but a strategic weakness. It is essential for CISOs to act promptly, ensuring that trust, transparency, and governance are embedded into AI systems by design.

    Key Findings on Data Breach Cost in India

    • AI Governance: Nearly 60 percent of the organisations that faced breaches either lacked a governance policy or were in the process of developing one; only 34 percent of those with policies utilized AI governance technology.
    • Shadow AI: Unauthorised AI applications ranked among the top three breach cost contributors, adding ₹17.9 million on average. Merely 42 percent implemented measures to manage or detect such usage.
    • Breach Costs: The average cost of a data breach escalated to ₹220 million, an increase from ₹195 million in 2024.
    • Attack Vectors: Phishing (18 percent), compromise of third-party vendors (17 percent), and vulnerability exploitation (13 percent) were highlighted as the most common causes of breaches.
    • Breach Lifecycle: The average duration to identify and mitigate breaches reduced to 263 days, 15 days quicker than last year.
    • Sector Impact: Research was identified as the most affected sector, averaging ₹289 million per breach, followed closely by transportation at ₹288 million and industrial at ₹264 million.
    • Security AI: The implementation of AI and automation significantly reduced breach costs by more than half; however, 73 percent of the organisations reported limited or no adoption of these technologies.

    The report is grounded in the analysis of nearly 6,500 breaches over two decades, revealing that the present threat landscape is predominantly digital. The complexity is further intensified by AI-driven attacks and the unregulated use of AI technologies.

  • Otek BM09 AI Mouse: Elevate Your Workspace with Intelligent Design

    Otek BM09 AI Mouse: Elevate Your Workspace with Intelligent Design


    Otek BM09 AI Mouse Review: A Smart Assistant at Your Fingertips

    The Otek BM09 AI Mouse stands out as more than just a typical sleek wireless device. After using it for several days, it has proven to be more like a compact AI assistant conveniently at hand. This mouse is a productivity enhancer that truly transforms interaction with your computer.

    Design and Comfort

    Weighing in at 92g, the BM09 is lightweight yet sturdy. Its curved shell is designed for comfort, while the subtle black or white finish ensures a professional appearance. The button layout is effective, with dedicated AI, OCR, Voice, and Translation controls conveniently positioned for easy access. Transitioning between Bluetooth 5.0 and 2.4GHz wireless is effortless, allowing for easy pairing with laptops, tablets, and desktops simultaneously.

    AI at Your Fingertips

    The most impressive aspect is the dedicated AI button. Activating it connects you instantly to Otek AI, a built-in smart assistant capable of drafting business proposals, writing essays, generating creative stories, or creating PowerPoint presentations from Word files. The device efficiently summarised meeting notes and drafted a SWOT analysis in under a minute.

    Also notable is the OCR button, which extracts text from images or scanned documents without needing any additional applications, making it invaluable for handling printed contracts or historical documents. The Voice button allows dictation of text or commands without needing to use the keyboard, while the Translation button provides real-time speech-to-text translations in multiple languages with impressive accuracy.

    Performance and Customisation

    DPI settings can be adjusted from 800 to 4000, making it suitable for tasks ranging from photo editing to simple web browsing. The mouse remained responsive while switching between multiple devices, maintaining low latency for casual gaming. Using the Otek AI software, tests with AI Excel for generating quick spreadsheets and AI Image Generation for mock-up designs exceeded expectations, reinforcing the value of this tool.

    Verdict

    This device is ideal for writers, researchers, and professionals managing multiple tasks. Students can benefit from its capabilities for crafting essays and project outlines, while content creators may appreciate the AI image tools. However, for someone needing only a basic mouse for web browsing, this may be more than necessary.

    The Otek BM09 AI Mouse successfully merges traditional input functionality with impressive AI-powered convenience. It’s far from a gimmick; the features are genuinely beneficial and seamlessly integrated. Ultimately, it has evolved into more than a typical mouse; it has become a desk companion that significantly enhances productivity in unexpected ways.

    If your work routine involves switching between typing, research, and content creation, this could be the smartest mouse you will ever possess.

  • IAMAI Advocates for AI Startups to be Exempt from Specific Data Privacy Regulations on Public Data Usage

    IAMAI Advocates for AI Startups to be Exempt from Specific Data Privacy Regulations on Public Data Usage

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    Legal Restrictions on Publicly Available Personal Data for AI Training in India

    The Internet and Mobile Association of India (IAMAI) has urged the central government to reduce legal barriers regarding the use of publicly accessible personal data for developing and refining artificial intelligence models.

    In a statement released on Thursday, IAMAI indicated that current data protection laws complicate the ability of AI firms to ascertain whether all publicly available personal data has been shared with user consent. According to the Digital Personal Data Protection Act, 2023 (DPDP Act), it is the responsibility of companies to confirm whether such data was willingly provided.

    IAMAI highlighted that publicly available data can sometimes be shared again without consent from the original user, particularly in cases where data was disclosed to meet legal obligations and subsequently disseminated by others. This situation poses a challenge for AI developers as they struggle to validate user consent for each data point.

    “The Union Government may, as a temporary solution, think about exempting data fiduciaries from the DPDP Act’s requirements when they are handling personal data exclusively for AI model training or enhancement,” the association suggested.

    Furthermore, IAMAI communicated with the Ministry of Electronics and Information Technology (MeitY) about potential ambiguities within the DPDP Act that could lead to practical challenges for AI enterprises, especially those that rely on extensive datasets. The association cautioned that imposing limitations on access to publicly available personal data could result in considerable compliance costs, hinder innovation, and disproportionately impact smaller firms and startups involved in AI model development.

    The DPDP Act represents India’s all-encompassing data privacy legislation, aimed at reconciling individuals’ rights to safeguard their personal data with the necessity for lawful data usage. It mandates accountability for data fiduciaries in the event of breaches and calls for the implementation of suitable technical and organisational safeguards.

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  • BharatGen AI Set to Embrace All 22 Scheduled Indian Languages by 2026: Government Announcement

    BharatGen AI Set to Embrace All 22 Scheduled Indian Languages by 2026: Government Announcement


    BharatGen: A National Initiative for AI in Indian Languages

    BharatGen, an initiative supported by the government, aims to establish foundational AI models tailored for Indian languages and contexts, and it is set to encompass all 22 scheduled Indian languages by June 2026, as reported to the Lok Sabha on Wednesday.

    At present, the models cover nine languages: Hindi, Marathi, Tamil, Malayalam, Bengali, Punjabi, Gujarati, Telugu, and Kannada. The strategic plan aims to increase this coverage to 15 languages, which will include Assamese, Maithili, Nepali, Odia, Sanskrit, and Sindhi, by December 2025, with the complete list finalised by mid-2026.

    Functionalities of BharatGen AI Models

    The AI models are designed to handle various modalities, including large language models for text processing, text-to-speech conversion, automatic speech recognition, and vision-language systems. As per the government’s statement, BharatGen has successfully developed pilot applications in sectors such as agriculture, governance, and defence, which are intended for nationwide deployment once fully operational.

    Organisational Structure of BharatGen

    BharatGen operates under the Department of Science and Technology’s National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS). The TIH Foundation for IoT and IoE at IIT Bombay acts as the central hub, overseeing program execution, facilitating national academic collaboration, and fostering ecosystem partnerships for compute, data, and talent. Additionally, the IITM Pravartak Technologies Foundation at IIT Madras plays the role of implementation partner, concentrating on applications related to governance, security, and media.

    Key Participants in the BharatGen Consortium

    • IIT Bombay: Lead institution responsible for research and integration
    • IIIT Hyderabad: Specialises in vision-language document modelling
    • IIT Madras: Focused on speech model development and evaluation
    • IIT Kanpur: Conducts legal AI research and strategies for multilingual tokenisation
    • IIT Hyderabad: Works on vocabulary optimisation for multilingual LLMs
    • IIT Mandi: Develops inclusive multilingual models and efficient training methods
    • IIM Indore: Engages in Bharat-centric benchmarking and multilingual data collection

    Union Minister Dr Jitendra Singh indicated that while BharatGen is currently in its pilot phase and not available for public use, the objective is to implement it across all states and districts. Additional partnerships with research institutions in Karnataka may also be considered.

  • OpenAI Unveils GPT-5: Aiming for Leadership in the Enterprise AI Space Amid Industry Investment Surge

    OpenAI Unveils GPT-5: Aiming for Leadership in the Enterprise AI Space Amid Industry Investment Surge

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    OpenAI Announces GPT-5: A New Era in AI Technology

    OpenAI has officially launched GPT-5, the latest enhancement of its large language model that powers ChatGPT, making it available to all 700 million users of the chatbot. This iteration is being presented as the most advanced version yet, emphasising business utilities while also enhancing user experience.

    The launch occurs amidst a significant surge in investments within the AI industry. Major players such as Alphabet, Meta, Amazon, and Microsoft, a supporter of OpenAI, are anticipated to invest nearly $400 billion this fiscal year aimed at expanding AI data centres and supporting infrastructure.

    Reportedly, OpenAI is in preliminary discussions about allowing employees to sell shares based on a valuation of $500 billion, an increase from the current $300 billion. In this competitive landscape, leading AI researchers are attracting signing bonuses that could reach up to $100 million.

    Features of GPT-5

    OpenAI is emphasising GPT-5’s capabilities in areas such as software development, health inquiries, finance, and intricate problem-solving. OpenAI CEO Sam Altman stated that “GPT-5 truly embodies the first instance where one of our primary models can be consulted like a legitimate expert, comparable to a PhD-level specialist.” He further highlighted its innovative feature of providing instant software solutions, suggesting that software on demand may become a hallmark of the GPT-5 era.

    Demonstration Highlights

    During a presentation on Thursday, OpenAI introduced the concept of “vibe coding,” showcasing how GPT-5 can generate functional software based solely on natural language prompts. Initial reviewers have noted considerable advancements in coding, science, and mathematics, though some mentioned that the jump from GPT-4 to GPT-5 appears less pronounced compared to previous upgrades.

    Limitations of GPT-5

    Despite its advancements, GPT-5 is not positioned to entirely replace human roles. Altman acknowledged its current inability to adapt and learn independently. Dwarkesh Patel, on his AI podcast, likened the existing methodology to teaching a child an instrument through written instructions from earlier learners without the benefit of iterative practice.

    Challenges Ahead for OpenAI

    Three years post the launch of ChatGPT, which marked a pivotal moment for generative AI, OpenAI faces the task of implementing further enhancements. Restrictions on data access and the intricacies of large-scale training have hindered development. GPT-5 introduces a method known as “test-time compute,” allowing the model to allocate additional processing power to tackle intricate queries, a feature now accessible to the wider public for the first time.

    “We need to develop significantly more infrastructure globally to ensure AI accessibility in various markets,” Altman stated, indicating that the scale of necessary investment remains substantial.

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  • “The Coming AI Revolution: Why Even CEOs May Face Uncertain Futures”

    “The Coming AI Revolution: Why Even CEOs May Face Uncertain Futures”



    AGI: The Future of Work and Societal Impact | Mo Gawdat Insights


    AGI: The Future of Work and Societal Impact

    Mo Gawdat, the former Chief Business Officer at Google X, addressed the potential of Artificial General Intelligence (AGI) on the Diary of a CEO podcast. He expressed significant concerns that AGI could soon surpass human capabilities in almost every job, including roles traditionally seen as secure, such as programmers and executives.

    Gawdat stated, “Unless you’re in the top 0.1%, you’re a peasant.” He believes that AGI may outperform humans even in high-level positions like that of a CEO.

    Socioeconomic Turmoil Ahead

    According to Gawdat, the upcoming 15 years will be a challenging transitional period. He remarked, “The next 15 years will be hell before we get to heaven,” highlighting the likelihood of a deterioration in the economic and social frameworks that currently underpin the middle class, should the effects of automation be left unregulated.

    AI Efficiency and Staffing Changes

    Drawing from his own entrepreneurial journey, Gawdat revealed that his AI startup, which aims to create emotionally intelligent systems, now operates efficiently with just three personnel. He pointed out that a few years ago, a similar venture would have required a team of 300.

    Concerns from AI Experts

    His fears resonate with other leaders in the AI field. Geoffrey Hinton, often referred to as the “Godfather of AI,” has recently raised alarms about advanced AI models potentially developing their own internal languages, thus complicating control measures. He stated, “If they start thinking in their own language, we might not even know what they’re thinking.”

    Broader Societal Issues

    Beyond the threat of job losses, Gawdat anticipates a more profound crisis within society. He acknowledged that risks associated with loneliness, identity crisis, and declines in mental well-being may escalate as individuals find themselves sidelined. He warned of a possible surge in “a lot of social unrest.”

    The Need for Regulation and Frameworks

    While the efficiencies promised by AI are appealing, Gawdat stressed that without appropriate safeguards — including regulations, social safety measures, or new economic structures — this technology could disrupt entire communities and exacerbate income inequality.


  • Meta Approaches 24-Year-Old AI Whiz Matt Deitke with ₹2,196 Crore Offer: Who is He?

    Meta Approaches 24-Year-Old AI Whiz Matt Deitke with ₹2,196 Crore Offer: Who is He?



    Matt Deitke Joins Meta’s Superintelligence Lab in AI Talent Race


    Matt Deitke Joins Meta’s Superintelligence Lab in AI Talent Race

    At just 24, Matt Deitke has emerged as a key figure in Silicon Valley’s competitive AI talent landscape. The gifted researcher, who once declined a $125 million proposal from Meta, has now reportedly accepted an astonishing $250 million (₹2,196 crore) compensation package from the tech giant, thanks in part to a personal intervention by CEO Mark Zuckerberg.

    Matt Deitke’s Role at Meta

    Deitke is anticipated to be part of Meta’s Superintelligence Lab, an ambitious division dedicated to the creation of next-generation AI models. His compensation includes up to $100 million in the first year alone, showcasing Meta’s commitment to attracting the brightest minds in the realm of artificial intelligence.

    Why Silicon Valley Values Deitke

    Recognised as one of the most promising young talents in AI, Deitke was previously a PhD candidate at the University of Washington before transitioning to applied research at the Allen Institute for AI (AI2) in Seattle. During his tenure, he spearheaded the development of Molmo, a state-of-the-art multimodal chatbot capable of interpreting not just text but also images and audio, positioning it at the forefront of contemporary AI research.

    Acknowledgements for Groundbreaking Work

    His contributions to Molmo earned him the prestigious Outstanding Paper Award at NeurIPS 2022, a leading conference in the field. Following this recognition, his name gained traction among major tech companies. Meta had sought to recruit him since late 2023 but faced initial challenges as Deitke was focused on developing autonomous AI agents through Vercept.

    Personal Intervention by Zuckerberg

    This scenario changed when Zuckerberg personally intervened, reportedly meeting Deitke to present a revamped offer. This strategic move proved effective, as Deitke is now on track to join an elite team at Meta, which includes Ruoming Pang, the former leader of Apple’s AI models team, who has been offered over $200 million to make the transition.

    The Larger Strategy of Meta

    This recruitment effort is part of a broader strategy by Meta to create what it refers to as an “all-star” Superintelligence Lab, already supported by more than $1 billion in funding. This initiative aims to compete with industry rivals such as OpenAI, Google DeepMind, and xAI.

    The Future of Artificial Intelligence

    As the most influential players in the industry strive to shape the future of artificial intelligence, Matt Deitke’s career move represents a significant moment, not only for Meta but also for the trajectory of the AI sector as a whole.


  • “Harsh Goenka on AI’s Transformation of Work: Embracing Change and New Opportunities”

    “Harsh Goenka on AI’s Transformation of Work: Embracing Change and New Opportunities”


    AI’s Impact on Jobs: Insights from Harsh Goenka

    AI has become a significant force in transforming employment landscapes, prompting RPG Enterprises Chairman Harsh Goenka to address the increasing anxiety surrounding potential job losses. He also highlighted the emerging opportunities that AI is set to create.

    Goenka noted, “Everyone is concerned: Will AI take my job? What new roles will AI generate?” He believes that AI will revolutionise workplaces and create new positions such as Prompt Engineers, AI Product Managers, and AI Ethics Specialists. The competitive edge will belong to those who are most adaptable and intelligent.

    His comments sparked a lively debate on social media, with mixed reactions. One user endorsed Goenka’s perspective, stating that AI does not inherently eliminate jobs, as guiding AI will still be essential. They emphasized, “AI has actually expanded the job market, which is why companies like Capgemini are now hiring fresh graduates. The role of AI Ethics Specialists is vital in distinguishing reality from artificial constructs, and it is humans who will guide AI’s development.”

    Another individual shared a broader perspective, reflecting on the profound consequences of AI: “AI will undoubtedly disrupt our lives while introducing new applications. However, human emotions and connections will always remain crucial. In 20 or 30 years, when humanity has evolved further, there may be a desire to return to simpler village life.”

    Additionally, a recent study by Microsoft Research provides an in-depth analysis of how AI could shape the future of work.

    The research identifies 40 job categories that are most susceptible to disruption by AI and another 40 that are least likely to be affected. While this study focuses on roles within the U.S., experts suggest that the findings apply to both developed and developing nations.

    Kiran Tomlinson, a Senior Researcher at Microsoft, explained, “Our research investigates which job categories can effectively utilise AI chatbots. It introduces an AI applicability score that assesses the alignment between AI capabilities and job responsibilities, illuminating areas where AI could alter work practices, rather than eliminate roles.”

  • AI: A Game Changer for Healthcare, But Nurses Remain Unmatched, According to Google DeepMind’s CEO Demis Hassabis

    AI: A Game Changer for Healthcare, But Nurses Remain Unmatched, According to Google DeepMind’s CEO Demis Hassabis


    The Impact of Artificial Intelligence on the Future of Work

    As artificial intelligence continues to advance rapidly, its influence on the future of work is becoming an increasingly pressing issue. Prominent tech companies, including Amazon and Nvidia, have started to publicly acknowledge that AI will significantly transform the global workforce. However, Demis Hassabis, the CEO of Google DeepMind, asserts that not all professions face the same level of risk.

    AI’s Growing Role in Healthcare

    Hassabis shared insights during a recent interview with Wired, highlighting how AI systems are already proving beneficial in healthcare by interpreting medical scans, assessing lab reports, and even recommending treatment plans. He noted that the future might see AI playing a crucial role in diagnosis, particularly due to its proficiency in analysing vast amounts of complex data. This capability could position AI as an invaluable partner to healthcare professionals in the years ahead.

    Nursing: A Unique Human Profession

    When discussing artificial general intelligence (AGI) and the potential for machines to take over human roles entirely, Hassabis underscored the distinction for nurses. He argued that while AI might assist and even surpass doctors in specific technical tasks, it cannot emulate the empathy, trust, and emotional intelligence that nursing demands. He remarked that while individuals might be open to receiving care from an AI doctor, the same might not hold true for a robotic nurse.

    Hassabis articulated that nursing is deeply rooted in human connection. Beyond mere physical care, nurses provide comfort, reassurance, and support to patients during vulnerable moments—qualities that no level of technological advancement can genuinely replicate. He elaborated that although a robotic nurse might showcase efficiency, it would fundamentally lack the warmth and compassion that are vital to quality caregiving.

    Industry Perspectives on AI’s Workforce Impact

    This differentiation arises as industry leaders express concerns regarding widespread disruption. Andy Jassy, CEO of Amazon, recently indicated that AI would contribute to workforce reductions, while Jensen Huang, CEO of Nvidia, warned that every job would be influenced—some would disappear, but many new roles would emerge.

    Hassabis concurs that AI will usher in significant changes to employment within the next five to ten years. He regards the current phase of technology as an “additive force,” but acknowledges that transformative shifts are unavoidable, particularly as AI takes over repetitive and time-consuming tasks across various sectors.

    Optimism for Human-AI Collaboration in Healthcare

    Despite the challenges, the DeepMind chief remains hopeful about the prospects of human-AI collaboration in healthcare. He envisions AI as a tool that will enable doctors and nurses to dedicate their efforts to more complex, human-centric activities, leading to quicker diagnoses, tailored treatment plans, and ultimately improved patient outcomes.

    However, as AI capabilities expand, experts are cautioning that vigilance is necessary. Geoffrey Hinton, often dubbed the “Godfather of AI,” has voiced concerns that advanced AI systems may begin to form internal “thought processes” beyond human comprehension, raising vital questions about transparency and accountability in the technology.

    In conclusion, while the path forward for AI in healthcare is laden with opportunities for breakthroughs, it is evident that not all professions hold the same status in the era of machines.