Home Tags Posts tagged with "AI technology"
Tag:

AI technology

Google’s new AI Mode in Search is making waves—not for its capabilities, but for the data it’s not sharing. SEO experts and digital marketers are raising alarms about a concerning development: clicks originating from AI Mode are currently untrackable. Whether it’s Google Search Console or third-party analytics platforms, the traffic from this new search layer appears to be cloaked in complete invisibility.

What’s Really Happening
The issue came to light when Tom Critchlow, EVP of audience growth at Raptive, flagged discrepancies in click data. The problem was soon confirmed by Patrick Stox of Ahrefs, who found that clicks from AI Mode links do not appear in Search Console. Even worse, standard analytics platforms classify such visits as either Direct or Unknown. The culprit? The use of the noreferrer attribute on AI Mode links, which effectively strips all referral information that could have identified the source.

The Industry Reacts: Is This ‘Not Provided’ All Over Again?
Veteran SEO strategist Lily Ray called it “Not Provided 2.0”, drawing a parallel to Google’s earlier move to encrypt keyword data. Her theory is straightforward: Google does not want the public or publishers to know how little traffic AI Mode actually drives. Without access to hard data, claims of AI Mode enhancing web traffic remain unverifiable. That lack of transparency is breeding mistrust, especially when Google continues to tout that AI is improving the quality of search visits.

Google’s Mixed Messaging
Google has not fully clarified whether this lack of visibility is intentional or a glitch. Its official help documentation claims AI features—including AI Mode and Overviews—are included in overall traffic reports in Search Console. Yet, when one examines the detailed documentation, there is no mention of AI Mode at all. Only AI Overviews are referenced.

Adding to the confusion, a recent Google blog post encouraged site owners to “focus less on clicks” and more on the “overall value” of visits. It seems to suggest a broader shift away from click-through metrics as a core indicator of success. But without any clear alternatives offered, marketers are left without the tools they need to measure performance accurately.

A Fix Coming Soon?
In a comment on LinkedIn, Google’s John Mueller acknowledged the issue and noted that he had already passed it on to the internal team. However, he offered no confirmation on whether the lack of visibility is a bug or an intentional design choice. As of now, site owners, analysts, and SEO professionals remain in the dark.

What This Means for Publishers and Marketers
The lack of referrer data from AI Mode is more than an inconvenience—it’s a fundamental barrier to data-driven decision-making. In an environment where content performance and user behavior should guide strategy, hiding traffic sources makes it nearly impossible to allocate resources wisely or understand user journeys.

While AI continues to reshape how information is presented, the silence surrounding its impact on traffic raises uncomfortable questions. For a company that once built its empire on the promise of transparency and reliable search metrics, this new direction feels like a step backward.

Until clarity emerges or Google restores visibility, the clicks from AI Mode will remain in the shadows, leaving publishers with more questions than answers.

0 comment
0 FacebookTwitterPinterestEmail

A striking revelation that underscores the accelerating shift in software development, Microsoft CEO Satya Nadella disclosed that artificial intelligence is now responsible for generating as much as 30% of the code within the company’s internal repositories. Speaking at Meta’s inaugural LlamaCon AI developer summit in Menlo Park, California, Nadella emphasized that this figure is steadily rising — a clear signal that generative AI is becoming deeply embedded in Microsoft’s engineering workflows.

Nadella made this statement during a candid conversation with Meta CEO Mark Zuckerberg, where the two tech giants discussed the growing role of AI in shaping their companies’ futures. “I’d say maybe 20%, 30% of the code that is inside of our repos today and some of our projects are probably all written by software,” Nadella noted before the live audience, hinting at a not-so-distant future where machines shoulder the bulk of code production.

Zuckerberg, while not quoting exact figures for Meta, echoed the sentiment. He revealed that Meta is currently developing AI systems capable of designing and evolving future iterations of its Llama models. “Our bet is sort of that in the next year probably … maybe half the development is going to be done by AI, as opposed to people,” Zuckerberg said, outlining a future where AI becomes the primary architect of digital infrastructure.

These insights are not isolated. They reflect a wider movement sweeping through the tech industry. Since the launch of ChatGPT in 2022, companies have increasingly turned to AI not just for customer interaction or content generation, but for core engineering functions. Google CEO Sundar Pichai recently said that over 25% of the company’s new code is now generated by AI tools. Shopify CEO Tobi Lutke went a step further, stating that employees must now demonstrate a task cannot be done by AI before requesting additional manpower. Meanwhile, Duolingo CEO Luis von Ahn announced a transition toward AI in place of some human contractors.

The implications go beyond operational efficiency. The dream now is software written faster, with fewer bugs, and better adaptability — a scenario that AI-powered development promises to bring closer to reality. Startups like Windsurf, reportedly in acquisition talks with OpenAI, are pushing the boundaries by offering “vibe coding” software that can generate entire applications from just a few lines of human input.

As Nadella and Zuckerberg continue to lead organizations that both create and adopt frontier AI models, their insights offer more than just a glimpse into internal operations — they signal a profound redefinition of how software itself will be imagined, designed, and deployed in the years to come.

0 comment
0 FacebookTwitterPinterestEmail

In an era where artificial intelligence is rapidly becoming an everyday companion—from helping draft emails to brainstorming business ideas—the way we ask AI matters more than ever. Recognizing this shift, Google has released a comprehensive 68-page guide to help users get the most out of its AI tool, Gemini, available through the Vertex AI platform.

But don’t let the term “guide” intimidate you. This isn’t a dry manual full of jargon. Instead, it’s a practical, easy-to-understand roadmap for improving how we interact with AI. At its heart lies a skill called prompt engineering—a fancy term for something surprisingly intuitive: asking the right questions, the right way.


The Secret Sauce? Clear Instructions and Smart Examples

Let’s face it—AI isn’t a mind reader. The way we phrase our questions or commands, called prompts, can make or break the quality of the response we get. That’s where Google’s advice comes in clutch.

One of the standout tips? Lead with examples. Think of AI as someone you’re training. You don’t just throw tasks at a new hire without a walkthrough, right? Show AI what you want. Whether you’re looking for writing help, code suggestions, or teaching support, feeding the model examples sets the tone—and expectation.

Another key takeaway: simplicity wins. The more straightforward your prompt, the better the result. AI might be powerful, but it doesn’t benefit from overly complex sentences or instructions filled with “don’ts” and double negatives. Instead of saying “Don’t include fluff,” try “Write only the facts.” That subtle shift in framing can change the outcome dramatically.


Setting the Scene: Context Is King

Google’s guide also dives into more advanced territory—without making it feel like a tech lecture. One clever trick? Giving your prompt a role or goal. For instance, beginning your message with “You are a travel planner” instantly frames the interaction. It’s like handing the AI a script before it performs.

Adding context—like “the user is a college student with a part-time job”—helps the AI fine-tune its tone and content even more. You can also ask it to walk through its reasoning step-by-step, which often results in richer, more accurate answers.


Why This Matters More Than You Think

Whether you’re using Gemini, ChatGPT, Claude, or any of the major AI platforms, prompt design is the one skill that can supercharge your results. And it doesn’t require coding. Just a little structure and clarity.

Google’s latest guide is not just about Gemini. It’s a playbook for anyone who wants to bridge the gap between human intent and machine output. In a world increasingly driven by automation and smart tools, knowing how to speak to AI is fast becoming a superpower.

So, whether you’re writing your first prompt or fine-tuning a workflow for a business use case, Google’s guide has laid down the blueprint. It’s clear, approachable, and a must-read for anyone looking to stay ahead in the age of intelligent tools.

0 comment
0 FacebookTwitterPinterestEmail

Late one evening in Shenzhen, a team of engineers sat hunched over their screens, watching history unfold in real time. The air buzzed with intensity as servers hummed and monitors flickered with lines of code. What they were witnessing was nothing short of revolutionary—the launch of Manus, the world’s first truly autonomous AI agent.

Unlike anything seen before, Manus doesn’t just assist—it acts. It navigates the digital world without human intervention, processing financial transactions, screening job candidates, and even building websites from scratch. It isn’t just a smarter search engine or a better chatbot—it is an AI that doesn’t wait for instructions.

And now, it has the world’s attention.

A New Era for AI: The Manus Phenomenon

For years, Silicon Valley dominated AI innovation. But China has now delivered a shockwave that even the most advanced Western AI labs hadn’t fully prepared for.

The key difference? While OpenAI’s ChatGPT-4 and Google’s Gemini rely on human prompts, Manus initiates tasks on its own, processes new information, and adjusts accordingly. It operates like a human executive with an infinite attention span, capable of handling complex workflows independently.

Manus uses a multi-agent architecture, meaning it deploys specialized AI sub-agents to break down and execute tasks seamlessly. Whether it’s optimizing hiring processes, generating research papers, or designing marketing strategies, it does so without pause, hesitation, or the need for human oversight.

How Manus Outpaces Western AI Models

While AI-powered agents exist in limited domains—such as stock trading bots—Manus takes automation to an entirely new level.

🔹 It’s not just a model—it’s an ecosystem: Built on top of Anthropic’s Claude 3.5 Sonnet and refined Alibaba Qwen models, Manus integrates with over 29 tools and open-source software, allowing it to browse the web, interact with APIs, and even develop software independently.

🔹 True autonomy: Unlike OpenAI’s Operator, which executes actions through a user’s browser, Manus operates in the cloud. You can shut down your computer, and it will keep working—only notifying you when tasks are completed.

🔹 It doesn’t just analyze—it acts: Give Manus a ZIP file of resumes, and it won’t just rank candidates. It will cross-reference industry trends, filter top talent, and present an optimized hiring decision—complete with a formatted report.

🔹 Decentralized intelligence: Traditional AI models rely on one neural network, but Manus functions like a team of AI experts working together. A central executor agent delegates tasks to specialized sub-agents, creating an efficient assembly-line of intelligence.

Manus in Action: A Glimpse Into the Future

The world got a taste of Manus’ power when tech writer Rowan Cheung decided to test it.

He asked it to write his biography and build a personal website. Within minutes, Manus had:
Scraped his social media and extracted key professional highlights.
Generated a well-structured biography.
Designed and coded a functional website.
Deployed it online—without asking for additional input.

This wasn’t AI “assistance.” It was autonomous execution—an AI acting like a seasoned professional, without needing a human supervisor.

A Shock to Silicon Valley’s System

For years, the AI race was seen as a battle of bigger, more powerful models. The assumption? Whoever built the smartest chatbot would control the future of AI.

But Manus just changed the rules.

Rather than competing on raw intelligence, it shifts the focus to self-directed action—something no Western AI has fully achieved. And the most significant part?

It’s entirely Chinese-built.

This shift has sparked unease in Silicon Valley, where leading AI firms now face an uncomfortable truth: China may have taken the lead in the next evolution of artificial intelligence.

The Unseen Impact: Automation Without Limits

The automation of repetitive work has always been positioned as a net positive—eliminating mundane tasks to improve efficiency. But Manus signals something entirely different:

AI no longer just helps you work—it can replace you entirely.

From software development to financial analysis, Manus performs complete job functions without human supervision. It is the invisible worker—always present, never resting, and capable of outpacing human employees at a fraction of the cost.

For businesses, this is a game-changer. For professionals, it raises unsettling questions about the future of work.

The Road Ahead: Regulation, Ethics, and AI Autonomy

Manus’ rise introduces a host of ethical dilemmas.

🔹 Who is responsible when an autonomous AI makes a costly mistake?
🔹 What happens when AI decisions lead to legal disputes or financial losses?
🔹 How do we regulate a system that operates independently of human oversight?

Western regulators still assume AI needs human supervision—but Manus breaks that assumption entirely. Meanwhile, China has yet to set clear guardrails for AI autonomy, leaving the global AI community at a crossroads.

For now, Manus is available only by invitation, with early testers reporting mixed results. But one thing is certain: it will evolve—and quickly.

The AI revolution is no longer about who has the biggest model—it’s about who builds the smartest self-sufficient system. And right now, China is leading the charge.

The era of truly autonomous AI has begun. Are we ready?

0 comment
0 FacebookTwitterPinterestEmail

OpenAI, the force behind ChatGPT, is gearing up for a major leap forward with the introduction of specialized AI agents—cutting-edge digital assistants tailored for high-level tasks in software engineering, research, and knowledge work. But these advancements come at a premium, with pricing reaching a staggering $20,000 per month.

AI Agents: A New Era of Task-Specific Automation

Unlike general-purpose AI models, these AI agents are designed to execute specialized tasks with remarkable precision. From software development to PhD-level research, OpenAI’s latest products aim to redefine productivity in professional and technical fields.

According to reports, OpenAI is positioning these AI agents as a key revenue driver, tapping into businesses and professionals who require cutting-edge AI capabilities. Here’s a breakdown of the anticipated pricing structure:

High-Income Knowledge Worker Agent$2,000/month
🔹 Designed for professionals requiring advanced data analysis and strategic insights.

Software Developer Agent$10,000/month
🔹 Aimed at automating complex coding tasks, debugging, and software optimization.

PhD-Level Research Agent$20,000/month
🔹 Built to conduct in-depth research, synthesize information, and generate high-level reports.

SoftBank’s Billion-Dollar Backing & OpenAI’s Expanding AI Ecosystem

Reports indicate that SoftBank has committed $3 billion to OpenAI’s AI agent technology this year alone, underscoring the confidence investors have in the potential of these AI-driven tools.

This aggressive push into AI agents follows OpenAI’s recent launch of Deep Research, a tool capable of scanning vast amounts of online information and compiling comprehensive research reports—essentially acting as an AI-powered analyst. The unveiling of GPT-4.5, which boasts enhanced pattern recognition and creative insight generation, further strengthens OpenAI’s AI portfolio.

What This Means for Businesses & AI Adoption

While the high price points may seem steep, these AI agents could become indispensable for enterprises looking to streamline operations, enhance productivity, and gain a competitive edge. Whether it’s accelerating software development cycles, assisting researchers in breakthrough discoveries, or providing data-driven insights to executives, these AI agents signal the next phase of AI integration into professional workflows.

However, the question remains: Will businesses embrace these high-cost AI solutions at scale, or will affordability remain a barrier to widespread adoption? As OpenAI moves forward, the balance between cutting-edge AI performance and accessibility will determine just how disruptive these AI agents will be.

0 comment
0 FacebookTwitterPinterestEmail

Artificial Intelligence (AI) is revolutionizing industries worldwide, and education is no exception. While some see AI as a disruptor, forward-thinking educators and researchers argue that the real threat lies not in AI itself, but in outdated teaching methodologies that fail to evolve with technological advancements.

Recently, Arizona State University (ASU) President Michael Crow shared his insights on AI’s role in education. He emphasized that AI is not a menace—rather, it is an enabler of innovation. The real danger, he pointed out, is the reluctance to modernize teaching practices. This perspective challenges the fear-driven narratives surrounding AI and instead highlights its potential to enhance learning experiences, support educators, and make education more personalized and efficient.

The AI-Driven Shift: Personalized Learning at Scale

One of AI’s most significant contributions to education is its ability to tailor learning experiences to individual students. Traditional education systems rely on standardized curricula that may not cater to the diverse needs of learners. AI, however, can bridge this gap by providing customized learning paths that adapt to each student’s pace, strengths, and weaknesses.

A March 2024 research paper by Michail Giannakos, Mutlu Cukurova, and others explored AI’s role in education, particularly in areas like learning design, automated feedback, and assessment. The study recognized AI’s potential while cautioning against its uncritical adoption. The key takeaway? AI must be implemented with careful consideration of its effectiveness and educational soundness.

AI-Enhanced Engagement: Making Learning More Interactive

Engagement is a cornerstone of effective learning, and AI-powered tools are making education more dynamic than ever. Virtual Reality (VR), AI-driven educational games, and Intelligent Tutoring Systems (ITS) are transforming how students interact with content.

Research by Negin Yazdani Motlagh et al. (2023) highlights how AI-based platforms such as ChatGPT, Bing Chat, and Bard are revolutionizing digital education. These tools allow students to engage with AI-driven tutors, receive instant explanations, generate quizzes, and access resource recommendations. The result? A more interactive and immersive learning environment that fosters active participation.

Empowering Educators: AI as a Teaching Assistant

While much of the AI-in-education discussion centers around students, its impact on teachers is just as profound. AI can streamline administrative tasks, provide insights into student performance, and enhance instructional methods.

A 2023 report from the U.S. Department of Education detailed how AI could automate grading, track attendance, and manage scheduling. By handling these repetitive tasks, AI frees up educators to focus on curriculum development and student mentorship. Furthermore, AI-powered analytics can help teachers identify struggling students early, allowing for timely interventions.

Professional development also stands to benefit from AI. Smart platforms can analyze classroom interactions, offer feedback on teaching strategies, and suggest evidence-based instructional improvements. This means educators can refine their techniques with real-time insights, ultimately improving student outcomes.

India’s AI Push: A Strategic Move for Education

India is taking bold steps toward AI-driven education. The IndiaAI initiative, led by the Ministry of IT and Electronics, is developing foundational AI models tailored to Indian datasets. This effort aims to address country-specific challenges while aligning with global AI standards. One of its core objectives is to apply AI across various sectors, including education. By fostering homegrown AI solutions, India is positioning itself as a leader in AI-integrated learning.

Ethical Considerations: Challenges & Cautionary Notes

Despite AI’s potential, its integration into education comes with challenges that demand careful attention. Key concerns include:

  • Bias in AI Algorithms: AI systems trained on biased data could reinforce educational inequalities. Researchers like Mallik and Gangopadhyay (2023) stress the need for continuous evaluation to ensure fairness and inclusivity.
  • Data Privacy Risks: AI tools require vast amounts of student data to function effectively. Safeguarding this information and preventing misuse is critical.
  • Academic Integrity: AI-generated content blurs the line between assistance and dependency. As Dr. Benny Johnson notes, students often lack the expertise to distinguish factual information from AI-generated inaccuracies.
  • Teacher Displacement Concerns: While AI can automate certain aspects of teaching, it should be viewed as an augmentative tool rather than a replacement for human educators. Emotional intelligence, critical thinking, and creativity—key aspects of learning—still require a human touch.

The Future of AI in Education: A Balanced Approach

As AI continues to evolve, its applications in education will become even more sophisticated. The challenge lies not in resisting AI but in leveraging its capabilities to modernize and enhance teaching methods. The goal should be to create an optimal learning ecosystem where AI and human educators collaborate to deliver a more inclusive, efficient, and adaptive education system.

Policymakers, academic institutions, and technology developers must work together to establish ethical guidelines, ensure equitable access to AI-driven learning, and equip teachers with the skills needed for an AI-powered classroom. Investment in AI literacy programs will be crucial in preparing both educators and students for this evolving educational landscape.

As ASU President Michael Crow and other thought leaders suggest, the true threat to education isn’t AI—it’s the failure to adapt to change. By embracing AI with a thoughtful and strategic approach, the education sector can move beyond outdated methods and build a future-ready learning environment. The challenge isn’t to choose between AI and traditional education but to integrate them in a way that maximizes benefits while mitigating risks.

The future of education isn’t about machines replacing teachers—it’s about AI and educators working hand in hand to create smarter, more personalized, and more impactful learning experiences for generations to come.

0 comment
0 FacebookTwitterPinterestEmail

In a world where artificial intelligence is rapidly transforming industries, a 15-year-old prodigy from Kerala is making waves with his remarkable contributions to the field. Uday Shankar, hailed as the “Wizard of AI,” has an inspiring story that showcases his unwavering passion for science and technology, even when it meant stepping away from traditional education.

Uday’s journey into the tech world began when he made the bold decision to drop out of school in the eighth grade to fully dedicate himself to his love of AI and software development. Despite this unconventional path, Uday’s brilliance shone through as he quickly rose to prominence, earning the prestigious role of Chief Technology Officer (CTO) at Urav Advanced Learning System Pvt Ltd, an AI start-up based in Kochi, Kerala.

As the CTO of Urav, Uday oversees the technical branch of the company, guiding its vision and development. Under his leadership, Urav has become a hub for innovation, offering certificate programs in cutting-edge technologies like artificial intelligence, augmented reality, virtual reality, and game development. Uday’s expertise has been instrumental in shaping the curriculum, particularly in advanced Python coding and Unity 3D game development courses for young learners.

Uday’s path is a testament to his exceptional talent and dedication. With the support of his parents, Dr. Ravi Kumar and Srikumari, Uday has pursued his education through open schooling, allowing him to balance his academic aspirations with his role at Urav. He has earned certificates from prestigious institutions like IIT Kanpur and the Massachusetts Institute of Technology, further solidifying his reputation as a young genius in the tech world.

But Uday’s accomplishments don’t stop there. He has authored four research papers, secured three patents, and developed an impressive portfolio of about fifteen games, nine computer programs, and seven apps. His innovative spirit was recognized with the Dr. APJ Abdul Kalam Ignited Mind Children Creativity and Innovation Award 2030, an honor that underscores his impact on the field of AI.

One of Uday’s most notable projects is the development of an app called “Hi Friends,” which was inspired by a personal experience. When Uday struggled to communicate with his grandmother in Palakkad, he saw an opportunity to create an AI-based solution. The app allows users to create avatars of loved ones and communicate with them in any language, opening up new possibilities for AI in multilingual communication. This breakthrough led to the creation of a multilingual kiosk that could be used in public transportation systems like trains and metros.

Uday’s innovation extends beyond AI communication tools. He founded his start-up, Urav, four years ago after teaching himself Python programming online. Among his other notable projects is “Clean Alka,” an AI chatbot that interacts with users to generate images, and “Bhashini,” a patented app that allows users to manage multiple languages seamlessly. In his commitment to social impact, Uday has also developed a free app designed to assist visually impaired individuals in navigating public spaces.

Uday Shankar’s story is a powerful reminder that age is no barrier to innovation. His journey from a young tech enthusiast to a leading figure in AI is a testament to the boundless potential of youth when passion and talent are nurtured. As Uday continues to push the boundaries of technology, his work promises to inspire countless others to follow their dreams and make their mark on the world.

0 comment
0 FacebookTwitterPinterestEmail

OpenAI, led by CEO Sam Altman, is reportedly working on a new advanced reasoning technology for its large language models (LLMs), internally code-named ‘Strawberry’. This initiative, as revealed by Reuters on Friday through internal company documents and sources familiar with the matter, aims to significantly enhance the reasoning capabilities of OpenAI’s AI models.

Why is Strawberry Important?

The project Strawberry is shrouded in secrecy, known to only a select few within the organization. Previously referred to as Q, it represents a potential breakthrough for OpenAI. Demonstrations of Q shown to some staff indicate that the LLMs could solve complex science and math problems that current commercial models struggle with.

According to the documents, Strawberry is designed to go beyond generating simple answers. The models are being developed to plan ahead and autonomously navigate the internet to conduct what OpenAI terms “deep research.”

What is Strawberry?

Strawberry represents a specialized method of post-training OpenAI’s generative AI models, aiming to fine-tune their performance even after initial training on large datasets. This post-training process involves adapting the models to enhance their capabilities in specific tasks.

One of the key goals for Strawberry is to enable the AI models to perform long-horizon tasks (LHT). These tasks require the AI to plan and execute a series of actions over an extended period. OpenAI envisions its models using Strawberry’s capabilities to autonomously browse the web, supported by a “computer using agent” (CUA). This agent would be able to take actions based on the information it discovers, effectively conducting research independently.

As OpenAI continues to push the boundaries of AI technology, Strawberry is poised to be a significant advancement, potentially transforming how AI models reason and interact with complex information.

0 comment
0 FacebookTwitterPinterestEmail

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.

0 comment
0 FacebookTwitterPinterestEmail

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.

0 comment
0 FacebookTwitterPinterestEmail
Newer Posts

Our News Portal

We provide accurate, balanced, and impartial coverage of national and international affairs, focusing on the activities and developments within the parliament and its surrounding political landscape. We aim to foster informed public discourse and promote transparency in governance through our news articles, features, and opinion pieces.

Newsletter

Subscribe my Newsletter for new blog posts, tips & new photos. Let's stay updated!

Laest News

@2023 – All Right Reserved. Designed and Developed by The Parliament News

Are you sure want to unlock this post?
Unlock left : 0
Are you sure want to cancel subscription?
-
00:00
00:00
Update Required Flash plugin
-
00:00
00:00