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Entertainment and Media Businesses Put Your All Into Generative AI

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Entertainment and Media Businesses Put Your All Into Generative AI

The media industry is inherently creative, and recognizing this is essential to appreciating the industry’s eagerness and willingness to attempt new things. In keeping with the industry mentality that actively seeks out innovation rather than avoids it, its purpose to provide compelling content also motivates it to investigate methods of augmenting creative talents while concurrently reducing aspects of production procedures.

Accordingly, generative artificial intelligence (AI) is a game-changer that will boost the creative activities of the sector by creating new opportunities for inspiration, teamwork, and content production. Media professionals may use generative AI to improve their creative output, automate processes, and create ground-breaking experiences that enthrall and please viewers in fresh and immersive ways.

The “Generative AI Tracker®” illuminates the ethical, legal, and social ramifications of generative AI implementation while revealing the cutting-edge potential and new applications of generative AI in the media sector.

Media Industry’s AI Future is Being Cast by Innovators

A wave of innovation has been sparked by the commercialization of generative AI to meet the diverse and complex needs of the media business. The firms driving these advances are divided into three groups by PYMNTS Intelligence: players for AI audience engagement, players for AI creative development, and players for AI operational efficiency.

Businesses that fall under the category of AI creative enhancement players use generative AI to provide richer media experiences. Examples of these partnerships are Immerso AI with Yotta and Microsoft Xbox with Inworld AI. Businesses in the AI audience engagement and insight sector include Telly and Displace. By using generative AI to evaluate customer activity, these organizations are able to forecast patterns of consumer involvement, make informed business decisions, and target advertising material through increasingly seamless interactive consumer experiences. In the meantime, generative AI tools are provided by AI operational efficiency players, which are embodied by businesses like Reduct.Video. These tools increase the effectiveness of operational components of content generation and management in the media sector.

AI Envisions A Future for the Media Industry

Science fiction meets reality with generative AI’s inventive potential and applications in the media sector. They question accepted practices for the production, distribution, and consumption of content. These factors make the media sector an ideal place for this technology to be tested.

It should come as no surprise that it is already using generative AI to target marketing and content delivery. The technology has the ability to transform conventionally passive information consumption into customized, participatory user experiences, going beyond applications with an economic foundation. For instance, the gaming sector is leading the way in the application of generative AI to create more immersive gaming environments that improve the gameplay’s character and environment elements.

In the meanwhile, the news media sector is carefully investigating the potential of generative AI, if only to simplify certain intricate back-end aspects of the content creation process that do not compromise journalistic integrity. This is because they are constrained by strict ethical standards and the need to maintain public trust.

The Ethical and Social Conundrums Associated with Media Use of Generative AI

The media sector is already facing criticism for its part in spreading false and misleading information. Emerging generative AI technologies are becoming widely accessible, which increases the likelihood that these already-existing issues may worsen and affect the industry as a whole.

As a result, many of the most well-known generative AI technologies’ outputs are now being closely examined by creatives and content producers, who then raise concerns about plagiarism. The opaque decision-making procedures used by LLMs complicate problems and make it difficult to understand the reasoning behind any particular outcome. One effect is that there’s a greater chance of a legal battle between the tech and media sectors. This might have a significant impact on how generative AI applications develop in the future in both industries.

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Apple has revealed a revamped Mac Mini with an M4 chip

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A smaller but no less powerful Mac Mini was recently unveiled by Apple as part of the company’s week of Mac-focused announcements. It now has Apple’s most recent M4 silicon, enables ray tracing for the first time, and comes pre-installed with 16GB of RAM, which seems to be the new standard in the age of Apple Intelligence. While the more potent M4 Pro model starts at $1,399, the machine still starts at $599 with the standard M4 CPU. The Mac Mini is available for preorder right now and will be in stores on November 8th, just like the updated iMac that was revealed yesterday.

The new design will be the first thing you notice. The Mini has reportedly been significantly reduced in size, although it was already a comparatively small desktop computer. It is now incredibly small, with dimensions of five inches for both length and width. Apple claims that “an innovative thermal architecture, which guides air to different levels of the system, while all venting is done through the foot” and the M4’s efficiency are the reasons it keeps things cool.

Nevertheless, Apple has packed this device with a ton of input/output, including a 3.5mm audio jack and two USB-C connections on the front. Three USB-C/Thunderbolt ports, Ethernet, and HDMI are located around the back. Although the USB-A ports are outdated, it’s important to remember that the base M2 Mini only featured two USB-A connectors and two Thunderbolt 4 ports. You get a total of five ports with the M4. You get an additional Thunderbolt port but lose native USB-A.

Depending on the M4 processor you select, those Thunderbolt connectors will have varying speeds. While the M4 Pro offers the most recent Thunderbolt 5 throughput, the standard M4 processor comes with Thunderbolt 4.

With its 14 CPU and 20 GPU cores, the M4 Pro Mac Mini also offers better overall performance. The standard M4 can have up to 32GB of RAM, while the M4 Pro can have up to 64GB. The maximum storage capacity is an astounding 8TB. Therefore, even though the Mini is rather little, if you have the money, you can make it really powerful. For those who desire it, 10 gigabit Ethernet is still an optional upgrade.

Apple has a big week ahead of it. On Monday, the company released the M4 iMac and its first Apple Intelligence software features for iOS, iPadOS, and macOS. (More AI functionality will be available in December, such as ChatGPT integration and image production.) As Apple completes its new hardware, those updated MacBook Pros might make their appearance tomorrow. The business will undoubtedly highlight its newest fleet of Macs when it releases its quarterly profits on Thursday.

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Apple Intelligence may face competition from a new Qualcomm processor

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The new chip from Qualcomm (QCOM) may increase competition between Apple’s (AAPL) iOS and Android.

During its Snapdragon Summit on Monday, the firm unveiled the Snapdragon 8 Elite Mobile Platform, which includes a new, second-generation Oryon CPU that it claims is the “fastest mobile CPU in the world.” According to Qualcomm, multimodal generative artificial intelligence characteristics can be supported by the upcoming Snapdragon platform.

Qualcomm, which primarily creates chips for mobile devices running Android, claims that the new Oryon CPU is 44% more power efficient and 45% faster. As the iPhone manufacturer releases its Apple Intelligence capabilities, the new Snapdragon 8 platform may allow smartphone firms compete with Apple on the AI frontier. Additionally, Apple has an agreement with OpenAI, the company that makes ChatGPT, to incorporate ChatGPT-4o into the upcoming iOS 18, iPadOS 18, and macOS Sequoia.

According to a September Wall Street Journal (NWSA) story, Qualcomm is apparently interested in purchasing Intel (INTC) in a deal that could be valued up to $90 billion. According to Bloomberg, Apollo Global Management (APO), an alternative asset manager, had also proposed an equity-like investment in Intel with a potential value of up to $5 billion.

According to reports, which cited anonymous sources familiar with the situation, Qualcomm may postpone its decision to acquire Intel until after the U.S. presidential election next month. According to the persons who spoke with Bloomberg, Qualcomm is waiting to make a decision on the transaction because of the possible effects on antitrust laws and tensions with China after the election results.

According to a report from analysts at Bank of America Global Research (BAC), Qualcomm could expand, take the lead in the market for core processor units, or CPUs, for servers, PCs, and mobile devices, and get access to Intel’s extensive chip fabrication facilities by acquiring Intel. They went on to say that Qualcomm would become the world’s largest semiconductor company if its $33 billion in chip revenue were combined with Intel’s $52 billion.

The experts claimed that those advantages would be outweighed by the financial and regulatory obstacles posed by a possible transaction. They are dubious about a prospective takeover and think that Intel’s competitors may gain from the ambiguity surrounding the agreement.

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iPhone 16 Pro Users Report Screen Responsiveness Issues, Hope for Software Fix

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Many iPhone 16 Pro and iPhone 16 Pro Max users are experiencing significant touchscreen responsiveness problems. Complaints about lagging screens and unresponsive taps and swipes are particularly frustrating for customers who have invested $999 and up in these devices.

The good news is that initial assessments suggest the issue may be software-related rather than a hardware defect. This means that Apple likely won’t need to issue recalls or replacement units; instead, a simple software update could resolve the problem.

The root of the issue might lie in the iOS touch rejection algorithm, which is designed to prevent accidental touches. If this feature is overly sensitive, it could ignore intentional inputs, especially when users’ fingers are near the new Camera Control on the right side of the display. Some users have reported that their intended touches are being dismissed, particularly when their fingers are close to this area.

Additionally, the new, thinner bezels on the iPhone 16 Pro compared to the iPhone 15 Pro could contribute to the problem. With less protection against accidental touches, the device may misinterpret valid taps as mistakes, leading to ignored inputs.

This isn’t the first time Apple has faced challenges with new iPhone models. For instance, the iPhone 4 experienced “Antennagate,” where signal loss occurred depending on how the device was held, prompting Steve Jobs to famously suggest users hold their phones differently. Apple eventually provided free rubber bumpers to mitigate the issue.

To alleviate the touchscreen problem, using a case might help by covering parts of the display and reducing the chances of accidental touches triggering the rejection algorithm. The issue appears on devices running iOS 18 and the iOS 18.1 beta and does not occur when the phone is locked. Users may notice difficulties when swiping through home screens and apps.

Many are hopeful that an upcoming iOS 18 update will address these issues, restoring responsiveness to the iPhone 16 Pro and iPhone 16 Pro Max displays.

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