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Overlooked Human Nature VS Amplified Fi

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Singapore – In recent times, various market sectors have been flourishing, with Inscription making its mark and Solana making strides with DePIN in tow. These developments have sparked a consensus: the bull market is finally here. Veteran investors are pondering where the sector will rotate to next and where they should concentrate their focus. Amidst the hype surrounding Layer 2 (L2) and Inscription, this press release sheds light on GameFi, an emerging sector with untapped potential.
 

I. Human Nature to the Left, GameFi to the Right

 

GameFi, as a concept, often conjures thoughts of past successes and failures. On one hand, there are AAA blockchain games that have attracted substantial investments but struggle to deliver. On the other hand, Play-to-Earn (P2E) mining games promise lucrative returns but are ensnared in a cycle of “Buy NFT → Complete Tasks → Earn Tokens.” This repetitive loop is akin to a strange cycle of “mining, withdrawing, and selling.”

 

Designers who adhere to this cycle often assert that people are driven by greed and will mindlessly follow any project that caters to their monetary interests. While greed is indeed a part of human nature, it’s crucial not to overlook the fact that human nature encompasses a broader spectrum of needs.

In Abraham Maslow’s hierarchy of needs, the desire for wealth and possessions represents a safety need, one of the most fundamental and lower-level needs. Higher-level needs include a sense of connection, respect, and self-actualization.

 

In practical terms, this can be understood as follows:

 

Imagine being offered $500 a day for a job you detest, with constant unpaid overtime, leaving no time for personal life. How long could you endure this situation? Would you sacrifice social interaction and passion for financial gain? Wouldn’t there come a point when you pondered the meaning of life and questioned what comes after accumulating enough wealth?

 

This isn’t to suggest that making money is wrong. Rather, it emphasizes that when basic needs are met, human nature naturally gravitates toward fulfilling other needs. To sustain interest and investment, GameFi must cater to these various levels of needs.

 

In the context of GameFi, Finance (Fi) should serve as motivation rather than the sole driving force. This is a fundamental reason behind the sector’s previous setbacks. When numerous projects compete to fulfill the same low-level needs, differentiation becomes challenging. This competition can lead to a growing disconnect from higher-level human needs, resulting in a situation where consumers are forced in one direction while GameFi blindly moves in another.

 

If Finance (Fi) isn’t the path to breakout success, what is?

 

To answer this question, we must redefine “breaking out.” It’s not merely about transitioning from Web3 to Web2 consumers; it’s about addressing different levels of needs in Maslow’s hierarchy. A successful GameFi project must satisfy financial needs while also nurturing social interaction, belonging, and respect.

 

II. 70% Game + 20% Fi + 10% Meme

GameFi possesses immense potential due to the inherent appeal of games throughout human history. Games have evolved with time, meeting diverse human needs. Ancient games strengthened tribal connections and fostered a sense of belonging. The Olympic Games promoted unity among city-states. Modern electronic games immerse players through instant feedback, honor systems, a sense of achievement, and social motivation.

 

While Finance (Fi) emerged in the last decade, games have been deeply ingrained in human DNA. It’s not that games need humans; it’s humans who can’t live without games. GameFi uniquely combines the needs of both gaming and finance, making it well-positioned for success. To determine the optimal balance between gaming and finance, a suggested ratio is 70% Game, 20% Fi, and 10% Meme. Fi serves as motivation, driving users to explore digital currencies and wallets. However, it’s crucial to remember that money alone doesn’t satisfy all human needs; it accounts for just 20%. Higher-level needs, such as belonging and self-actualization, must find fulfillment within the game itself.

Traditionally, discussions surrounding GameFi have centered on playability, emphasizing the importance of fun and excitement. To quantify these qualities, “immersion time” emerges as a more accurate indicator. Immersion time is tied to attention, and the key to maintaining it lies in striking the right balance. Psychologist Dr. Lucy Jo Palladino’s “Attention Curve” illustrates how attention relates to external stimuli. Insufficient stimulation leads to disinterest, while excessive stimulation causes anxiety and, eventually, disengagement. GameFi’s challenge lies in offering enough engagement to keep players immersed.

Instead of obsessing over metrics like players’ farming efficiency, focus should shift to metrics like player immersion time. Ensuring players spend at least three hours a day within the game becomes more relevant. Visual and auditory stimuli can enhance immersion, making games more captivating.

Contact Details

Name : PRDots Advertiser

Email : [email protected]

Phone Number : 9719900886677

Company Name : PRDots

City : Dubai

Country : UAE

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Tomato.ai, an AI-Powered Speech Clarity Firm, Launches with $2.1 Million in Venture Money

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The generative AI startup Tomato.ai Inc. has raised a $2.1 million seed fundraising round. The company uses artificial intelligence to enhance voice communications.

“Gaingels, a new investor, joined the round headed by Cardumen Capital and Recursive Ventures. The investment announcement and the release of Tomato.ai’s first two products, a more conventional noise canceling feature and an innovative AI-powered “accent softening” tool, are made at the same time.”

The flagship product of the company is Tomato.ai Accent Softening, which is aimed at call center agents. Locally installed on a PC or mobile device, it is said to preserve the unique qualities of every accent while emphasizing the importance of clear communication. It is made to work with well-known communication programs such as Zoom, Teams, and Meet.

The system operates using exclusive artificial intelligence models that are trained to produce speech with less accent in real time, while preserving the distinctiveness of the speaker’s voice. The speakers will sound natural and less accented, in other words. Based on its instantaneous functionality for all speakers, Tomato.ai predicts that, like noise reduction technologies, it will soon become the new norm in the communications industry.

The business also unveiled a more conventional Noise Cancellation tool that employs generative AI to completely remove background noise from the equation while recreating the speaker’s voice. It can be accessed via the same PC application, and according to the startup, tests have shown that it works better than denoising headsets and other software-based devices.

Ofer Ronen, the CEO and co-founder of Tomato.ai, stated in a blog post that “it also works exceptionally well at removing other voices and music for customers on the other end— even if the sound to remove is right next to the main speaker.” Providing excellent customer service can be incredibly stressful, even in the absence of language problems. Accents can cause problems in certain settings when clarity is crucial, particularly in stressful or urgent situations.

According to the business, its solutions would enhance call center agents’ productivity, raise customer happiness and retention rates, and produce better interactions all around. Agents will have more authority to attain greater charges.

According to Tomato.ai, businesses can benefit greatly from its solutions since they can help close the performance gap between in-house and offshore call center personnel, which will help reduce customer annoyance.

According to the startup, its noise cancellation tools will be used more widely in call centers throughout the world, while its accent softening tools will be partnered with several international call centers in the Philippines, India, and Pakistan.

Accent softening, according to Holger Mueller of Constellation Research Inc., is one of the more creative new use cases made possible by generative AI and has the potential to make interactions easier.

According to the researcher, “removing strong accents makes spoken English much clearer, which leads to more empathy and customer intimacy.” “A call center representative might establish a stronger relationship and streamline the resolution process by imitating the caller’s accent on the spot, so removing any problems stemming from unclear communication. We’ll soon find out if Tomato.ai’s generative AI solution to a real-world issue is well-received by clients.

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HCL Tech Introduces “Enterprise AI Foundry” to Propel AI-Driven Enterprises

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The ‘HCLTech Enterprise AI Foundry,’ which aims to streamline and expand enterprise Al journeys, was unveiled by HCL Tech on Monday.

According to the company, the comprehensive suite of tools speeds up the transformation driven by Generative AI (GenAI) throughout business value chains by fusing data engineering, artificial intelligence (Al), and cognitive infrastructure.

The company’s Al solutions are optimized for on-premises infrastructure and can be scaled for Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

IT leaders can now create seamless integration between IT and data assets thanks to this project, which eliminates data silos, industrial-scale Al foundation models, and an abundance of tools and frameworks.

It facilitates the easy creation of next-generation Al-powered applications by development teams and allows business leaders to concentrate on practical results.

“Our vast experience providing data engineering and Al services is expanded upon by HCLTech Enterprise AI Foundry. Vijay Guntur, Chief Technology Officer and Head of Ecosystems at HCL Tech, stated, “When combined with the newest GenAI technologies, we provide rapid and significant time-to-value through AI.”

The “Enterprise Al Foundry,” according to the corporation, intends to expedite AI-led business process transformation and strategy.

The business offers decades of expertise in data modernization, infrastructure services, and Al implementation services.

“A fresh roadmap is required to close the gap between Al’s hype and results. HCLTech Enterprise Al Foundry will make it easier to integrate enterprise data with AI, expedite the development of AI-powered applications, and guarantee trust, safety, and dependability, all of which will encourage confident adoption “said Srini Kompella, Senior Vice President, Data and AI, HCLTech.

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HCL Tech Unveils Enterprise AI Foundry to Enhance AI Impact Across Enterprise Value Chains

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Launched on Monday, HCL Tech’s Enterprise AI Foundry aims to streamline and expand enterprise AI initiatives. To drive Generative AI (GenAI)-led change across company value chains, an integrated suite of assets combines data engineering, artificial intelligence (AI), and cognitive infrastructure.

The HCLTech Enterprise AI Foundry is optimized for on-premises infrastructure and can be scaled for Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). By eliminating data silos, industrial-scale AI foundation models, and an excess of tools and frameworks, it enables IT leaders to create a smooth connection between IT and data assets.

“HCLTech Enterprise AI Foundry expands upon our wealth of knowledge in providing AI and data engineering solutions.” Our AI solutions offer a notable and quick time-to-value when combined with the most recent GenAI technology, according to HCLTech’s Chief Technology Officer and Ecosystems Head Vijay Guntur.

Enterprise AI Foundry seeks to accelerate AI-led business process transformation and strategies subsequent to the launch of HCLTech AI Force. We require a new blueprint in order to close the gap between the hoopla around AI and its actual results. According to Srini Kompella, senior vice president of data and AI at HCLTech, “HCLTech Enterprise AI Foundry will simplify the foundational AI infrastructure, enable integrating enterprise data with AI, streamline the creation of AI-powered applications, and ensure trust, safety, and reliability, fostering confident adoption.”

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