AI could have created a proclamation against deepfakes.

 Minnesota's " Use of deep fake technology to influence an election" law is dealing with the influence of AI a federal lawsuit. In last filing, law is challenged by the attorneys say an affidavit to support it which contains AI generated text. In the "The Minnesota Reformer reports" director of Stanford Social Media Lab founding Mr. Jeff Hancock asked by Attorney General Keith Ellison to make the submission, but the content in the document contains the non-existent sources that seem to have been manipulated by ChatGPT or other LLM.

AI could have created a proclamation against deepfakes.

Hancock found a published study in 2023 in the journal  of information technology and politics which is titled by " The influence of Deepfake Videos on political attitudes and Behavior."

The twist happens when Reformer founds according to them there is no record of that study in the Journal of Information Technology & Politics and also not any other Publications. They also found after cited Handcock's declaration "Deepfakes and the illusion of Authenticity: Cognitive processes behind misinformation Acceptance," doesn't even exist either. 

Also Hancock did not respond to The Verge's request for comment.

AI is increasing revenues for businesses by up to 20%, according to a research.

 The Growing Influence of AI in Business: Opportunities, Challenges, and Future Directions

Artificial Intelligence (AI) has undoubtedly revolutionized the technology sector, yet its long-term return on investment remains a significant concern for many experts. Beyond its initial deployment, businesses often struggle to unlock its full potential. To create a truly profitable AI-driven economy, companies must rethink their operational strategies, redesign processes, and make optimal use of data-driven insights. According to a report by Bain’s Technology, these adaptive measures are crucial for businesses aiming to thrive in an AI-powered landscape.

AI is increasing revenues for businesses by up to 20%, according to a research.

AI’s Transformative Power and Economic Impact

AI is no longer just an emerging technology; it has become a key player in reshaping industries and transforming business opportunities. However, while AI is widely recognized for its ability to streamline operations and enhance efficiency, its broader implications—on industry structures, revenue models, and resource allocation—are still being explored. The pace of disruption in the tech industry, driven largely by AI, is faster than in any other sector. Data shows that nearly half of the 25 most valuable tech companies fall out of the top rankings every ten years.

In 2024, AI has taken center stage as the driving force behind the latest technological shifts. Businesses across sectors are making massive investments in AI, particularly in cloud services. By doing so, they aim to not only increase operational efficiency but also create more organized and integrated systems. However, simply accessing AI tools is not enough; businesses must reimagine their entire approach to fully capitalize on its potential.

Big-Tech’s AI Integration and Market Adaptation

Leading tech companies have been quick to recognize AI’s transformative potential. Giants like Microsoft have partnered with OpenAI, embedding advanced AI capabilities into their flagship products, such as Azure and Office. Similarly, Nvidia has capitalized on AI’s growing influence by developing AI-powered GPUs, particularly for gaming, which has significantly boosted its market share. These companies are not just adopting AI; they are finding innovative ways to adapt and capture new market opportunities.

For smaller businesses and startups, AI presents an opportunity to significantly increase profitability. In some cases, AI integration can boost revenue by as much as 20%. However, the ability to adapt to these new technologies is key to unlocking such growth.

Disruption and Stability in the Tech Sector

Although technological disruption continues to shape the industry, turnover among top tech companies has slowed. Four of the five most valuable tech companies in 2024—Microsoft, Apple, and Alphabet (formerly Google)—have maintained their positions since 2019, with three remaining dominant since 2009. This longevity can largely be attributed to their successful integration of AI, which has allowed them to improve traditional business functions, enhance product management, and drive productivity through data-driven insights.

A prime example of this shift is Intuit, a financial technology platform serving both consumers and small businesses. By integrating Generative AI (GenAI) tools, Intuit has improved its software development processes, accelerating the entire lifecycle and boosting end-to-end productivity.

The Future of AI: A Market Poised for Growth

Looking to the future, the market for AI products and services is expected to grow substantially, with estimates projecting it could reach between $780 billion and $990 billion by 2027. Large cloud providers, including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud, are at the forefront of this expansion, driving research, development, and innovation. These companies are pushing the boundaries of AI infrastructure, making it more accessible and effective across industries.

Nvidia's CEO, Jensen Huang, emphasized this growth during the company’s Q3 2024 earnings call, stating that “Generative AI represents the largest total addressable market (TAM) expansion in software and hardware that we’ve seen in decades.” This reflects the enormous potential of AI, both for established companies and emerging startups, to reshape the tech landscape.

For AI to truly benefit businesses, companies must continually update their systems and identify key areas for AI investment. The rapid pace of development in AI means that staying ahead of the curve will require not only financial investment but also a strong strategic vision.

Mergers, Acquisitions, and the Role of Governments in AI

Another significant trend in the AI space is the increasing number of mergers and acquisitions, as companies seek to gain new skills, enter new markets, or bolster their AI capabilities. However, the success of these mergers depends on how well organizations can integrate their operations and retain critical employees during the transition.

Governments are also playing a crucial role in the development and regulation of AI. As nations strive to secure data privacy and national security, many are investing heavily in AI technologies. Tech companies like Microsoft and Nvidia are working closely with governments to ensure compliance with local regulations and adapt AI solutions to meet specific regional needs.

Conclusion: A Strategic Approach to AI Adoption

AI is undoubtedly reshaping the business world, but its success goes beyond technological adoption. To fully realize the benefits of AI, companies must adopt a strategic, forward-thinking approach. This involves not only investing in the technology itself but also redesigning business processes, adapting to changes, and harnessing the power of data.

The AI industry is growing rapidly, and by 2027, it could generate nearly $1 trillion in revenue. For businesses willing to embrace this shift, the rewards could be substantial. However, those that fail to adapt risk falling behind in an increasingly AI-driven world. As both governments and corporations continue to invest in AI, the stage is set for continued innovation and economic growth.

Google's Notebook's AI hosts declare, "We are not human."LM have a terrifying self-realization moment

 In Terminator Salvation, a key moment features Christian Bale's character, John Connor, encountering a cyborg named Marcus, who possesses a cybernetic skeleton and a partially artificial brain. Marcus insists that he is human, but it is clear he’s not. This scene harkens back to the concept of the Turing Test—a measure used to determine whether a machine can convincingly mimic human behavior to the point that it seems human. 

Google's Notebook's AI hosts declare, "We are not human."LM have a terrifying self-realization moment

In artificial intelligence circles, there’s a long-standing joke: the real concern isn’t a machine passing the Turing Test, but a machine deliberately faking it. Recently, this concept played out in real life. A user on X (formerly Twitter) shared a clip of a Google NotebookLM AI discussing a script in which the AI is fed information about itself—that it is a machine, not human. The video features a somewhat emotional moment, with one host mentioning that he tried calling his wife, only to discover she didn’t exist.

What is Notebook LM?

NotebookLM is a tool created by Google Labs that leverages generative AI to enhance note-taking. It’s designed to assist users in capturing important information from lectures, meetings, and research, helping to keep everything organized. The AI helps by summarizing notes, making suggestions, and adding context, which makes it easier to remember key details and manage tasks effectively.

This tool allows users not only to take notes but also to improve them with creative ideas and extra information. It can summarize the content, answer questions about the notes, and even inspire fresh ideas, which makes it especially valuable for students, professionals, and researchers. With NotebookLM, users can tag and categorize their notes, making it much easier to search and organize information. 

Additionally, NotebookLM supports collaboration by enabling multiple users to work on a document simultaneously, with customizable permissions. It also accommodates various formats, including text, images, audio, and video, making it a versatile tool. Although it's currently limited to Google Docs and is still in development, its potential to improve productivity is evident. As it evolves, it may become an indispensable tool for professionals and students alike.

Who was Alan Turing?

Alan Turing was a British mathematician, logician, and computer scientist, considered one of the pioneers of modern computing and artificial intelligence. Born in 1912, Turing made groundbreaking contributions during World War II by cracking the German Enigma code, which greatly contributed to the Allied victory.

Turing’s most famous contribution to AI came from his 1950 paper *Computing Machinery and Intelligence*, where he introduced the idea of the Turing Test. This test evaluates whether a machine can exhibit intelligent behavior indistinguishable from a human’s, a concept that remains central to discussions about AI.

In addition to his work on AI, Turing helped develop some of the earliest computers, including the Automatic Computing Engine (ACE), which laid the foundation for modern computer architecture. His theoretical work on algorithms, known as the Turing Machine, continues to be a core concept in computer science, underpinning how computers process information.

Sadly, Turing’s life was cut short in 1954, but his profound impact on computing, cryptography, and artificial intelligence continues to shape the technological world we live in today.

Apple Is Owed a Heated Privacy Lawsuit Regarding Its Apps

A federal judge has pared down a lawsuit against Apple that accuses the tech giant of violating the privacy of iPhone, iPad, and Apple Watch users by collecting personal data through its own apps, such as the App Store, Apple Music, and Apple TV.

Apple Is Owed a Heated Privacy Lawsuit Regarding Its Apps                                              Photo Credit : Reuters

In a ruling from U.S. District Judge Edward Davila, based in San Jose, California, the court dismissed most claims tied to Apple’s "Allow Apps to Request to Track" setting on its mobile devices. This feature controls how third-party apps track user activity. However, the judge allowed some claims to proceed, particularly those focusing on the "Share [Device] Analytics" setting.

At the heart of the lawsuit, users allege that Apple misled them by promising that disabling certain privacy settings would restrict the company’s ability to collect, store, and use their data. Despite these assurances, users claim that Apple ignored their choices and continued to gather personal information. The case is one of many that have emerged against technology companies like Apple, Google, and Meta, accusing them of data collection without user consent.

In a detailed 39-page ruling issued late Thursday, Judge Davila highlighted that Apple had been transparent in explaining the "Allow Apps to Request to Track" setting, noting it only applied to data collection by third-party apps and websites. The judge concluded that it would be unreasonable for users to believe that by turning this setting off, they were stopping Apple from collecting data through its own services.

However, the ruling took a different tone regarding the "Share [Device] Analytics" setting. Judge Davila found that users could reasonably argue they had withdrawn consent for data collection when disabling this option. Apple’s own disclosures suggested that turning off this setting would entirely stop the sharing of device analytics, giving users a plausible case.

Apple has stated that data gathered through the "Share [Device] Analytics" setting is used to improve its products and services. The company, along with lawyers for the plaintiffs, has yet to respond publicly to the judge's decision. 

The lawsuit, which seeks unspecified damages, underscores growing concerns around how tech giants handle personal data, sparking legal challenges that could shape the future of privacy in the digital age. 

CEO of OpenAI Sam Altman responds to the resignation of longstanding CTO Mira Murati

 OpenAI Shakes Up Leadership: CTO Mira Murati Steps Down Amid Major Executive Changes

In a surprising turn of events, OpenAI CEO Sam Altman addressed the resignation of Mira Murati, the company’s Chief Technology Officer, who announced her departure after six and a half years of spearheading innovation at one of the most influential AI companies in the world. Altman shared the news in a post on X (formerly Twitter), expressing both admiration for Murati’s contributions and regret at her departure.

CEO of OpenAI Sam Altman responds to the resignation of longstanding CTO Mira Murati

A Visionary Departure

“Mira has been instrumental to OpenAI’s progress and growth,” Altman stated, emphasizing her role as a visionary leader behind the company's ascent from a small research lab to a global powerhouse in artificial intelligence. He admitted that her decision to leave was a bittersweet moment for him: “I was saddened when she informed me this morning that she was leaving, but of course, I support her decision.”

Murati’s leadership was not confined to technological advancements alone. As CTO, she championed some of OpenAI's most groundbreaking innovations, including ChatGPT, DALL-E, and Codex, all while shaping the company's approach to AI ethics and societal impact. Her departure, therefore, marks not only the end of an era for OpenAI's technological trajectory but also for its philosophical outlook on the responsible development of AI.

OPEN IN X

A Leadership Exodus: Not Just Murati

Murati’s exit is only part of a broader leadership shift at OpenAI. Altman also revealed that two other key figures—Research Chief Bob McGrew and Vice President of Research Barret Zoph—are stepping down. Although Altman reassured that the departures were independent, he noted that the timing was carefully synchronized to ensure a smooth leadership transition.

Despite the loss of these senior executives, Altman emphasized that OpenAI is well-prepared for the future. Murati had spent the last year assembling a team of strong leaders capable of continuing the company's rapid growth. “Mira has been building out a strong bench of leaders that will continue our progress,” Altman assured, signaling a seamless transition into the company's next phase.

New Leaders, New Directions

In light of these exits, Altman announced a series of key appointments to maintain momentum. Mark Chen, a seasoned OpenAI researcher, will step into the role of Senior Vice President of Research. Though the transition was part of a broader plan, Altman acknowledged that it was happening earlier than anticipated. Chen will collaborate closely with Jakub Pachocki, who now takes on the position of Chief Scientist. Together, they will steer OpenAI’s ambitious research agenda forward.

Additionally, Josh Achiam has been named Head of Mission Alignment, tasked with ensuring that OpenAI stays true to its long-term objectives. Matt Knight has officially been appointed as Chief Information Security Officer, solidifying the company’s focus on safeguarding its technological assets. These new appointments demonstrate OpenAI’s commitment to bolstering its leadership and doubling down on its growth strategy, even amidst the departure of top talent.

The Weight of Leadership at OpenAI

Altman was candid about the intense demands placed on OpenAI's leaders, acknowledging that the pressures of heading such a fast-paced, high-profile organization can be overwhelming. “Being a leader at OpenAI is all-consuming,” he admitted. With the company valued at over $150 billion and racing to maintain its lead in AI innovation, the challenges are manifold—not just in pushing technological boundaries, but in addressing the ethical questions that come with them.

Murati’s exit, alongside those of McGrew and Zoph, underlines the strain of balancing rapid innovation with ethical considerations, especially in an environment that demands constant, cutting-edge progress. While Altman framed the leadership changes as part of a natural evolution, he admitted that the swift nature of these shifts has been particularly striking: “We are not a normal company,” he remarked, referring to the unique pressures and scrutiny OpenAI faces from the public, the industry, and policymakers.

Moving Forward Without Murati

As OpenAI prepares to forge ahead without one of its most influential figures, questions loom about the company’s future direction. Murati’s role in driving both technological breakthroughs and ethical debates has left a profound mark on OpenAI. Her absence will undoubtedly create a significant gap, one that will be difficult to fill. Yet Altman remains optimistic, stressing that the company's next generation of leaders is well-equipped to carry the torch.

The leadership transition will be a key topic at OpenAI’s upcoming all-hands meeting, but Altman’s message is clear: OpenAI is not slowing down. With a refreshed leadership team in place, the company is charging ahead, poised to continue shaping the future of artificial intelligence, even as it bids farewell to one of its most visionary leaders.