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Home Blog Page 2898

Web 3 – No Utility, No Solution ? No Problem !

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We hear a lot of people announce a ‘problem’ that ‘Web 3 has no utility’. Maybe we need to unpack this a bit.  In context, let me say I mean products that relate to the Web3 space, which are not a cryptocurrency.

There are probably three groups of people that are critical to the existence of any product. Those who invest (financiers, not HODLers or degens), those who execute, and those who buy.

One of the problems with online platforms, particularly LinkedIn and X, is the people that seem to be making the most noise, neither constitute major funders, product owners, or ‘rock star’ buyers.

I don’t get the sense of how this supposed ‘lack of utility’ has actually impacted them first hand.

‘Products in Web3 have no utility’ seems to be a staple topic that gets regurgitated, along with the importance of ‘story telling’. I previously covered ‘story telling’ with a narrative that without placing product at its centre, it becomes irrelevant.

Moving on, I would say, storytelling is fine, but there never seems to be a deeply illustrated ‘story’ with multiple experiences, that showed me where someone had a Web 3 utility challenge with products, either funding it, creating it, or owning and trying to use it. It’s usually headline declaratives from folk with no tangible engagement and consequently, no story to tell.

Back to the dawn of humankind, there was a need for three things, food, clothing and shelter. This is the cornerstone of utility that still exists today.

Some folk realized they were no good at hunting, no good at skinning hides and fashioning garments from them, and no use at discovering new caves. They still had to make a living somehow. So, they managed to make dyes from readily available plants and minerals and make cave drawings. Others articulating things in front of camp fires at night, with waving hands, body movements, gestures and grimaces.

As they improved control on vocals they developed speech and language, and STORY TELLING began. Articulation skills led to ACTING. Other control abilities led to MUSIC. Social skills from language blended with successful battle strategy led to social hierarchy and the birth of POLITICS.

No pensions. If you couldn’t usefully integrate you died. Older warriors earned their meat by training youths and creating sparring tournaments, leading to SPORT.

This is the ethereal world began for survival of people who either couldn’t or didn’t want to compete directly in what put food in their belly, clothes on their body, and a roof over their head (3 necessities).

They began to bring their ethereal crafts to the 3 necessities, and clothing emerged with features that no longer prioritized protection, and regulating body temperature for ‘The Naked Ape’. Catwalks can exhibit the most unwearable of garments. Homes were sold aesthetic features; it was no longer someone’s ‘castle’. They became adorned with highly prized ornaments – Ainsley, Wedgewood, Waterford Glass; Souvenirs of iconic events; Paintings of ‘Renowned’ Artists; Antiques. Simple acts of cooking became Artisan ‘HAUTE CUISINE’

Our problem in our complicated world is that we see product utility, and solving a problem within the narrow extent of what it is being applied to. You can put wings on a pig, but it is still a pig. It could be argued that utility, and problem solving, when applied to a situation where the line of integrity to the ‘3 necessities’ is broken, is absolutely no utility or problem solving at all.

They have a new football design which can’t deflate, puncture, and has no compressed air in it. Is this solving a problem? Football is 22 grown adults running around a field, kicking a piece of animal hide which has been sewn into a sphere.

In answer to challenges with cigarettes, a product was developed called vapes.. but what is it really bringing? Slightly short of 600 years ago, some Englishman spoke to Native Americans who he found inhaling burning dried vegetation in a chalice.

They found the leaves, rolled them into a thin pencil-like shape, got people to stick them in their mouths, and set fire to the other side.

How is offering an improvement to this model linking with the ‘3 necessities’?

And yet, globally, both Football and Tobacco are collectively trillion dollar industries.

So this uninformed talk about product utility and problem solving in web3 collectible/tradeable products is an illusion.

Every iteration of Human Kind thinks the product dynamic within a new technology is different. The reality is, it is just a continuum; all the way back to those who discovered fire, and invented the wheel, who felt the same way too.

Rather than looking at product utility and problem solving, it might be a good idea for retail-end web3 focusing on collectibles/tradeables to be looking at historic evidence on subjective concepts of quality, exclusivity, dedicated human effort, and luxury.

Quality – Quality comes at a cost. Package the product with tokenization which has significant fees and takes time to mint. Tokenize on blockchain cores with higher security and decentralization. High TPS, low minting cost architectures are the enemy of quality.

Exclusiveness/Luxury – Unique tokenization protocols that have coding structures foreign to what can be accommodated on wallets like MetaMask, Coinbase, Trust or Rainbow, and require their own dedicated wallet.

Dedicated Human Effort – No 10k runs of cheap PfPs on algorithms, each product must individually evidence human effort.

These are the things that matter.

No Utility, No Solution ? No Problem !

 

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Betcha World’s Halloween Horror: Get 100 Free Spins with Sign-Up!

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Europe Risks Falling Behind US And China Amidst AI Overregulation Concerns – SAP CEO Warns

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Christian Klein, Chief Executive Officer (CEO) of Software Giant SAP, has warned that Europe risks falling behind the U.S. and China, following plans to regulate the Artificial Intelligence (AI) industry.

In an interview with CNBC, Klein advised Europe to avoid overregulating AI, but instead focus on the technology’s results. He warned that excessive regulation could hinder the continent’s ability to compete with other top region in the AI sector.

In his words,

“If you only regulate technology in Europe, how can our startups here in Europe compete against the other startups in China, Asia, and the US?”

While acknowledging the importance of addressing Al’s risks, Klein argued that regulating the technology in its early stages would be a mistake. He emphasized the need for Al use cases to deliver positive outcomes for employees and society.

“It’s very important that how we train our algorithms, the Al use cases we embed into the businesses of our customers, they need to deliver the right outcome for the employees, for the society. If you only regulate technology in Europe, how can our startups here in Europe, how can they compete against the other startups in Chima, in Asia, and the U.S.? Especially for the startup scene here in Europe, it’s very important to think about the outcome of the technology but not to regulate the AI technology itself”, he added.

Klein’s comment comes in a period where regulatory talks have come up to regulate the AI industry in Europe. Recall that on May 21, 2024, the Council of the EU approved the AI Act, the first European regulation on AI, marking the conclusion of a legislative journey that began in 2021.

The AI Act employs a risk-based approach, categorizing AI systems into four risk levels, with strict regulations for high-risk systems and bans on AI practices that violate EU values. The Act covers both EU and non-EU organizations producing or distributing AI in Europe, excluding military and research applications.

The AI Act aims to balance the protection of rights and freedoms with the facilitation of a “space” conducive to technological innovation. Its primary goal is to ensure the safe deployment of AI systems in Europe, aligning their use with the fundamental values and rights of the EU while encouraging investment and innovation within the continent.

Additionally, the Act includes provisions for General-Purpose AI (GPAI) models, defined as “computer models that, through training on a vast amount of data, can be used for a variety of tasks, either singly or included as components in an AI system.” Due to their broad applicability and potential systemic risks, GPAI models are subject to stricter requirements regarding effectiveness, interoperability, transparency, and compliance.

The core of Klein’s concern revolves around the balance between ensuring safety and promoting innovation. Recent developments in AI have created tools supporters say can be used in applications from medical diagnostics to writing legal briefs, but this has sparked fears the technology could lead to privacy violations, power misinformation campaigns, and issues with “smart machines” thinking for themselves.

However, overly stringent regulations may impede technological advancements and limit the benefits that AI can bring. On the other hand, insufficient regulation could lead to unethical uses of AI or unintended consequences.

Top 3 Altcoins Poised for 3,000% Growth in the 6 Months

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As the year’s final quarter unfolds, investors prepare for the anticipated full-blown bull market. Experts’ top picks for altcoins primed for significant growth in the next six months are dogwifhat (WIF), Popcat (POPCAT) and IntelMarkets (INTL).

Their bullish narratives and unique offerings position them for significant gains, especially INTL. This new AI altcoin is expected to surge following its market debut—one of the new DeFi projects to watch out for.

IntelMarkets (INTL): A Top Crypto Pick Among Experts

IntelMarkets (INTL) is considered a top choice by experts due to its AI narrative—the most bullish in the crypto landscape. Further, as a new altcoin, it has plenty of room for growth, capturing the attention of investors and analysts alike.

The presale is in the fourth stage—selling out fast, of course. With a token priced at $0.036, it offers a lower entry than dogwifhat (WIF) and Popcat (POPCAT), making it more promising. Projected to hit a timely 3,000% jump in value after listing on crypto exchanges, it is an altcoin not to miss.

Meanwhile, given its AI-powered trading platform, it has been hailed as the future of crypto trading. It will be the first true modern-gen platform to integrate AI across all trading levels, potentially outperforming conventional exchange protocols. Other features that will give it competitive advantages are copy trading, 1,000x leverage on select assets and trading robots.

Dogwifhat (WIF): The Leading Solana Meme

The dog-themed cryptocurrency dogwifhat (WIF) is a top meme. It leads the memecoin narrative on the Solana blockchain, highlighting its leading status. In the wider meme scene, it ranks only behind industry leaders like Dogecoin (DOGE), Shiba Inu (SHIB) and Pepe (PEPE).

Riding current bullish waves, the dogwifhat price jumped over 30% on the monthly charts, trading above $2.4. A 2% uptick is evident on the daily charts, tipped as the beginning of its rally toward $3.

With a meme craze on the horizon, as is an overall market rally, dogwifhat (WIF) is among the best cryptos to invest in. It is primed for a 3,000% upswing before the next six months, making it a good crypto pick.

Popcat (POPCAT): Registers a New Peak but With Room for Growth

Popcat (POPCAT), the meme on the Solana blockchain, is another top pick by experts. With cat cryptocurrencies hot on the heels of dog cryptocurrencies, POPCAT leads the charge, positioning it among the best altcoins to invest in.

It was among the biggest winners as the meme ecosystem skyrocketed. In the past 30 days, the Popcat price has gained a staggering 58% uptick. The weekly chart is equally green: a 20% rally and a new all-time high of $1.66. According to industry experts, Popcat (POPCAT) will be at the forefront of the next market rally, leading the cat crypto narrative.

Conclusion

It doesn’t get more bullish than dog and cat memes and AI—narratives which dogwifhat (WIF), Popcat (POPCAT) and IntelMarkets (INTL) possess, respectively. On track for massive growth, these are must-have cryptos.

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LinkedIn Hit With $335m Fine for Data Privacy Violation By the EU

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LinkedIn has found itself in hot water in Europe, as the professional networking platform has been hit with a hefty €310 million ($335 million) fine for violating privacy regulations tied to its targeted advertising practices.

The penalty, one of the largest imposed on Big Tech under the European Union’s General Data Protection Regulation (GDPR), was levied by Ireland’s Data Protection Commission (DPC), which serves as the primary regulator for Microsoft, LinkedIn’s parent company, under GDPR guidelines.

The DPC’s investigation revealed several breaches related to LinkedIn’s processing of personal data for behavioral advertising, including violations of the GDPR principles of lawfulness, fairness, and transparency. GDPR mandates that data processing activities must have a valid legal basis, and in this case, LinkedIn’s arguments fell short.

LinkedIn had relied on three legal bases to justify its use of users’ data: consent, legitimate interests, and contractual necessity. However, the DPC concluded that none of these justifications held up under scrutiny. LinkedIn had not obtained proper consent for processing personal data for tracking ads and failed to provide users with clear and sufficient information about how their data was being used. Consequently, the regulator determined that LinkedIn’s practices infringed on users’ fundamental rights to data protection.

DPC deputy commissioner Graham Doyle acknowledged the significance of the ruling in a statement.

“The lawfulness of processing is a fundamental aspect of data protection law, and the processing of personal data without an appropriate legal basis is a clear and serious violation of data subjects’ fundamental right to data protection,” he said.

The case against LinkedIn began over six years ago, originating with a complaint filed in France in 2018 by the digital rights organization La Quadrature Du Net. The complaint was transferred to the DPC, given its role as the lead oversight authority for Microsoft’s GDPR compliance. The DPC launched its investigation in August 2018, but it took nearly six years for a final decision to be reached.

In July 2024, the DPC submitted a draft decision to other EU data protection authorities, who raised no objections, allowing the enforcement to proceed. The prolonged duration of the case highlights the complexities of GDPR enforcement, especially involving multinational corporations operating across multiple jurisdictions.

Following the announcement of the fine, LinkedIn acknowledged the DPC’s decision in a statement but expressed its disagreement with the findings. The company maintains that it has been compliant with GDPR but has committed to bringing its ad practices in line with the ruling.

“While we believe we have been in compliance with the General Data Protection Regulation (GDPR), we are working to ensure our ad practices meet this decision by the IDPC’s deadline,” a spokesperson for LinkedIn, Jonny Wing, stated.

The professional social media has been given a three-month window to rectify its operations and ensure full compliance with GDPR requirements.

Big Tech and GDPR

The €310 million penalty puts LinkedIn in the mid-range of the top 10 GDPR fines levied on tech giants, joining other prominent companies like Meta, Google, and Amazon that have faced significant sanctions. This case denotes that data protection authorities across Europe are prepared to take stringent measures against non-compliance, particularly concerning the complex landscape of digital advertising and user privacy.

The ruling also signals the growing scrutiny over the use of personal data for behavioral advertising, a practice that has come under fire for its potential to infringe on individual privacy. As regulators continue to clamp down on non-compliance, companies operating in the EU are expected to adopt more rigorous data protection practices to avoid costly penalties.

This latest penalty is not the first time LinkedIn has faced regulatory challenges in Europe over privacy concerns. However, it marks the most significant fine the company has received to date under GDPR. The platform’s previous brushes with data protection regulators involved less severe infractions.

With a three-month deadline to align its operations with GDPR requirements, LinkedIn must overhaul its advertising practices and data processing methods in Europe. This could entail revising consent mechanisms, enhancing transparency about data usage, and potentially reducing reliance on tracking technologies for ad targeting. Failure to make these adjustments could result in further penalties or restrictions on the company’s ability to operate within the EU.