#How NVIDIA profits from Big Data

[empresa-journal]

Is NVIDIA (NVDA) the World’s Most Lucrative Company?

NVIDIA (NVDA) could be the world’s most lucrative company. Its revenues grew by an astonishing 205.51% in the quarter ending on 31 October 2023. NVIDIA’s quarterly revenues grew from $5.931 billion on 31 October 2022 to $18.120 billion on 31 October 2023. Similarly, NVIDIA’s quarterly gross profit grew from $3.177 billion on 31 October 2022 to $13.40 billion on 31 October 2023. Plus, the…

[novella-november]

I have no idea why this needs to be said, but you can hate generative AI, love the Public Domain, love media preservation, hate the overbearing US Copyright system, and... still believe that Copyright Laws exist in the first place for a reason, (even if, thanks to Big Corporation Monopolies, it's been twisted into its current behemoth monstrosity.)

You can hate Large Language Models and still believe in Copyright Reform over Copyright Abolishment.

You can believe in Media Preservation and still believe that Plagiarism is wrong.

You can hate the current restrictive Copyright Laws without wanting to abolish them entirely.

You can love the Public Domain and still loath predatory corporations stealing everything they can get their hands on, to literally *feed the machine.*

These things are not mutually exclusive, and if you think that

"you can't hate AI if you hate the current copyright laws"

or that

"Hating on Generative AI will only give us more restrictive copyright and IP laws, therefore you need to normalize and accept generative AI stealing all of your creations and every single thing you've ever said on the internet!"

I just genuinely don't understand how you can say this kind of crap if you've ever interacted with any creative person in your life.

I'm a wanna-be-author.

I want as many people to be able to afford my written works as possible without restrictions, and I fully plan on having free ebooks of my works available for those who can't afford to buy them.

*That does *not* mean I, in any way shape or form, would ever consent to people stealing my work and uploading it into a Large Language Model and telling it to spit out fifty unauthorized sequels that are then sold for cash profit!*

You cannot support generative AI and turn around and try to claim you're actually just defending small time artists, and *also* you think no one should have any legal protections at all protecting their work from plagiarism at all.

Supporting unethical generative AI (which is literally all of them currently), protecting artists, and *completely abolishing* copyright and intellectual property laws instead of reforming them *are* mutually exclusive concepts.

You *cannot* worship the plagiarism machine, claim to care about small artists, and then say that those same small artists should have absolutely *zero* legal protections to stop their work being plagiarized.

The only way AI could even begin to approach being ethical would be if using it to begin with wasn't a huge hazard to the enviornment, and if it was trained *exclusively * on Public Domain works that had to be checked and confirmed by multiple real human beings before it was put into the training data.

And oh, would you look at that?

Every single AI model is currently just sucking up the entire fucking goddamn internet and everything ever posted on it and everything ever downloaded from it with no way to really truly opt out of it or even just to know if your work has been fed to the machine until an entire page of text from your book pops out when it generates text from someone's writing prompt.

And no, it's not just "privileged Western authors" who are being exploited by AI.

For an updating list of global legal cases again AI tech giants, see this link here to stay up to date as cases develop:

[punk-pins]

fundamentally you need to understand that the internet-scraping text generative AI (like ChatGPT) is not the point of the AI tech boom. the only way people are making money off that is through making nonsense articles that have great search engine optimization. essentially they make a webpage that’s worded perfectly to show up as the top result on google, which generates clicks, which generates ads. text generative ai is basically a machine that creates a host page for ad space right now.

and yeah, that sucks. but I don’t think the commercialized internet is ever going away, so here we are. tbh, I think finding information on the internet, in books, or through anything is a skill that requires critical thinking and cross checking your sources. people printed bullshit in books before the internet was ever invented. misinformation is never going away. I don’t think text generative AI is going to really change the landscape that much on misinformation because people are becoming educated about it. the text generative AI isn’t a genius supercomputer, but rather a time-saving tool to get a head start on identifying key points of information to further research.

anyway. the point of the AI tech boom is leveraging big data to improve customer relationship management (CRM) to streamline manufacturing. businesses collect a ridiculous amount of data from your internet browsing and purchases, but much of that data is stored in different places with different access points. where you make money with AI isn’t in the Wild West internet, it’s in a structured environment where you know the data its scraping is accurate. companies like nvidia are getting huge because along with the new computer chips, they sell a customizable ecosystem along with it.

so let’s say you spent 10 minutes browsing a clothing retailer’s website. you navigated directly to the clothing > pants tab and filtered for black pants only. you added one pair of pants to your cart, and then spent your last minute or two browsing some shirts. you check out with just the pants, spending $40. you select standard shipping.

with AI for CRM, that company can SIGNIFICANTLY more easily analyze information about that sale. maybe the website developers see the time you spent on the site, but only the warehouse knows your shipping preferences, and sales audit knows the amount you spent, but they can’t see what color pants you bought. whereas a person would have to connect a HUGE amount of data to compile EVERY customer’s preferences across all of these things, AI can do it easily.

this allows the company to make better broad decisions, like what clothing lines to renew, in which colors, and in what quantities. but it ALSO allows them to better customize their advertising directly to you. through your browsing, they can use AI to fill a pre-made template with products you specifically may be interested in, and email it directly to you. the money is in cutting waste through better manufacturing decisions, CRM on an individual and large advertising scale, and reducing the need for human labor to collect all this information manually.

(also, AI is great for developing new computer code. where a developer would have to trawl for hours on GitHUB to find some sample code to mess with to try to solve a problem, the AI can spit out 10 possible solutions to play around with. thats big, but not the point right now.)

so I think it’s concerning how many people are sooo focused on ChatGPT as the face of AI when it’s the least profitable thing out there rn. there is money in the CRM and the manufacturing and reduced labor. corporations WILL develop the technology for those profits. frankly I think the bigger concern is how AI will affect big data in a government ecosystem. internet surveillance is real in the sense that everything you do on the internet is stored in little bits of information across a million different places. AI will significantly impact the government’s ability to scrape and compile information across the internet without having to slog through mountains of junk data.

[vibranttraitorutopia]

A Fresh Perspective on Trading: My Encounter with Fimatron

For the past two years, I’ve been trading part-time, mostly in stocks and crypto, while managing my freelance work. At first, I was just trying to find a way to make extra money, but none of the platforms I tried ever felt right. Some were too complicated, others didn’t offer enough flexibility, and many left me feeling like I wasn’t in control. That all changed when I discovered Fimatron.

When I first heard about it, I was a little skeptical. But after reading a few positive reviews and hearing recommendations from friends, I decided to give it a try. One of the biggest ups for me was how user-friendly the platform seemed. As someone who’s tech-savvy, I’ve been frustrated by other platforms full of confusing jargon and overly complex features. But Fimatron was different, its clean, simple layout made it easy to get started.

I signed up for the Silver account (€25,000 deposit) and was quickly impressed by how smooth the whole process was. The deposit was easy to make, and the funds were available within just a couple of hours, something I had struggled with on other platforms in the past.

My first few weeks were spent trading crypto, mainly Bitcoin and Ethereum. The platform’s real-time data was clear and helped me make confident decisions. I didn’t expect to see huge profits right away, but after a few small wins, I started gaining confidence. 

The turning point came when I placed a trade on Ethereum, aiming for a modest 5% gain. When I hit that target, I realized trading wasn’t as scary as I’d once thought. It wasn’t just about the money; it was about understanding the tools and strategies to make smarter decisions.

After a few months of steady trading, I decided to try branching out. I started exploring stocks like Nvidia and Apple, as well as commodities and forex. Fimatron made it easy to switch between different asset classes, and the results were promising. I had a few solid wins with forex trading, particularly with the EUR/USD pair, and that made me even more excited about the possibilities.

A little over five months into my trading, I felt ready to upgrade to the Gold account (€50,000 deposit). This was a big step, but the tighter spreads, faster withdrawals, and priority customer support made it clear that it was the right choice. 

One experience that stood out was when I had questions about leverage. I reached out to customer service, and within minutes, I had a clear explanation that helped me use leverage more effectively.

One aspect that really impressed me was the withdrawal process. In the past, slow withdrawals were a major issue, but with Fimatron, my funds were processed within 40 hours, building my trust in the platform. The security features also gave me peace of mind, knowing my funds were safe.

After six months with Fimatron, I’ve grown as a trader and a person, learning how to manage my investments. My portfolio now includes stocks, crypto, forex, and commodities. I’m actively improving my strategies with every trade, and I’m even thinking about upgrading to a Platinum account as I continue to expand my trading options. 

What started as a hobby has turned into a steady side income. With Fimatron's simple interface, educational resources, and excellent customer support, I’m excited to continue expanding my portfolio and see where it takes me.

[hollowhedgehogshade]

Growing My Euro Savings from Abroad: My Experience with TelaraX as a Newbie OFW Trader

I’m a worker in the Middle East, working six days a week and sending money home to support my kids. I’ve always saved what I could, but honestly, leaving it in the bank felt like leaving it asleep. It wasn’t doing anything. Then, during one lunch break, a friend casually showed me her TelaraX account and said, “Try trading crypto, it can help you save money.”

She’d already made enough on the side to pay for part of her son’s tuition. That caught my attention. I wasn’t a numbers person, but I was curious and a little excited.

That weekend, I signed up for TelaraX and chose the Bronze Account. Yes, it came with a €10,000 minimum, but I was ready to give it a shot. The platform looked clean, beginner-friendly, and not intimidating at all. The dashboard was smooth, and I loved how I didn’t need to download anything complicated.

With Bronze, I got access to:

Market Reviews that actually made sense

A CMirading e-book that explained trading in a fun way

Webinar invites where I picked up tips from experienced traders

And the best part: Social Trading, where I could copy real trades from real people

I started small, trading on weekends only. Mostly Ethereum, sometimes Bitcoin, just learning by doing. After one of my first trades, I earned around €120. It wasn’t huge, but to me, it felt like I just opened a door.

As I got more confident, I explored stocks too, like Apple and Nvidia, just holding small positions to see how it worked. The platform gave me real-time data, charts, and tools that didn’t feel overwhelming.

One win that gave me a boost? I followed a top trader on Social Trading during an Ethereum price swing. I copied her position, and by midweek, I made over €400 profit. That was a big moment for me. From just observing to making real moves, and that felt good.

At one point, I got confused with leverage, so I messaged support through chat. Someone responded in 10 minutes, explained everything clearly, and even gave me a quick example using my account. It didn’t feel like talking to a robot. Fast, helpful, and human, and that was a win.

My first withdrawal of €1,500 arrived back home in just two days. I didn’t expect it to be that quick. No delays, no hidden fees, no guessing game.

Now, I still trade mostly crypto, but I’ve added some stocks and commodities too. My portfolio is 60% crypto, 30% stocks, and 10% experimental trades. I’ve been using TelaraX for around five months, and I’m still on my Bronze Account, growing it bit by bit.

TelaraX gave me something I didn’t know I needed, which is a way to grow my money while working abroad, without needing to be an expert. It turned my breaktime curiosity into something real.

From watching someone else’s screen to building my own portfolio, I’ve come a long way and I’m just getting started.

[thehustlejournal]

What’s Moving the Market: Key Factors to Watch as Friday Unfolds

As investors gear up for the first trading session of May’s final stretch, Friday’s market activity is expected to be driven by a confluence of earnings reports, economic data, and ongoing policy developments. With Wall Street showing resilience amid mixed signals, investors are preparing for a potentially pivotal day.

Markets Open Higher as Optimism Builds

U.S. stock futures pointed to a higher open Friday morning, with optimism fueled by strong tech earnings and signs of easing trade tensions. The S&P 500 and Nasdaq futures showed gains, led by surges in mega-cap tech stocks, reflecting renewed investor confidence in the sector’s strength and its central role in market momentum.

Earnings Season Heats Up

Several major companies are at the center of Friday’s action:

Microsoft (MSFT) stunned the market with better-than-expected results, reporting $70.07 billion in quarterly revenue. A 21% surge in cloud business, particularly in AI-driven services, sent its stock soaring nearly 9% in premarket trading.

Meta Platforms (META) followed suit, climbing 6% after announcing a 16% jump in revenue year-over-year to $42.31 billion. The social media giant also disclosed significant increases in AI capital spending, which investors welcomed as a sign of future growth.

Apple (AAPL) and Amazon (AMZN) are set to report earnings after the market close. Apple is expected to post $94.66 billion in revenue, while Amazon is forecast to hit $155 billion. Investors will be watching closely for guidance on future growth and spending, especially related to AI and cloud services.

Economic Data Adds to the Mix

Friday’s trading will also be shaped by new economic data, particularly April’s jobs report. Economists expect the U.S. economy to have added around 130,000 jobs—down sharply from March’s 228,000 gain. While still indicative of a growing labor market, the lower number may reflect deeper economic cooling, especially in light of other recent data showing contracting GDP and rising unemployment claims.

The jobs report will also include wage growth data. Average hourly earnings are expected to have risen 0.3% in April, equating to a 3.9% year-over-year increase. Investors will interpret this number as a key signal on inflation trends and the Federal Reserve's potential policy moves.

Policy Watch: Tariffs and Trade Signals

Markets have also been grappling with recent trade policy shifts. The Trump administration’s announcement of new tariffs—coinciding with so-called “Liberation Day”—initially rattled markets. However, the 90-day delay on implementation and signs of possible trade negotiations have somewhat eased investor concerns. Still, any unexpected developments on this front could rapidly shift market sentiment.

Stocks to Watch Beyond the Big Tech Names

While Big Tech continues to dominate headlines, other major companies are also drawing attention:

Nvidia (NVDA): Faces challenges from tighter U.S. export controls and declining AI investments, factors that could dent its earnings outlook.

Walmart (WMT): With earnings due May 15, investors are watching how the retail giant is managing cost pressures and consumer behavior under evolving tariff conditions.

ExxonMobil (XOM): Reports earnings May 2. The energy giant is under pressure as oil prices have dropped below levels considered profitable for drilling. The company’s outlook could offer insight into broader energy trends.

Coinbase (COIN): Although pro-crypto policies have supported its regulatory position, Coinbase still faces volatility from declining crypto prices. Nonetheless, growing subscription revenues offer a potential bright spot.

Conclusion: A Market at the Crossroads

With a mix of earnings beats, cautious economic forecasts, and shifting trade policies, Friday could be a turning point in the broader market narrative. Investors will be looking for clarity—on whether the economy is heading for a soft landing or something more disruptive, and on which sectors may lead or lag in the months ahead.

For now, the markets remain cautiously optimistic—but volatility could return quickly depending on what Friday’s numbers reveal.

[davidwhinney1996]

Harnessing the Power of AI: How Businesses Can Thrive in the Age of Acceleration

Introduction

AI adoption has surged by 270% since 2015, reshaping industries in ways once thought impossible. The Houston Chronicle reported this shift, pointing out how fast AI moves from idea to reality. Over the past ten years, AI has grown from a research topic to a key part of business strategy. It automates simple tasks and digs deep into data for insights. Yet many companies struggle to use it well. This article gives you a clear, step-by-step guide to make AI work for your business. It’s for executives, entrepreneurs, and professionals ready to act.

Why should you care? Three reasons stand out. First, companies using AI gain an edge in speed, new ideas, and customer happiness. Second, AI tools are now within reach for all, not just big players. Third, AI changes more than profits—it affects jobs, ethics, and rules you must follow.

By the end, you’ll know AI’s past, present, and future. You’ll see real examples of wins and losses. Plus, you’ll learn how 9 Figure Media helps brands lead with AI and get noticed.

Historical Background and Context

1. Early Foundations (1950s–1970s)

AI started in the 1950s with big thinkers asking: Can machines think? Alan Turing kicked things off in 1950 with his paper on machine intelligence. He created the Turing Test to check if machines could act human. In 1956, John McCarthy ran the Dartmouth Workshop, naming the field “Artificial Intelligence.” Early work built systems that followed rules, like the Logic Theorist, which proved math theorems.

Key dates:

1950: Turing’s paper sets the stage.

1956: Dartmouth makes AI official.

1966: ELIZA, a basic chatbot, talks to people.

2. AI Winters and Renewed Optimism (1970s–1990s)

Excitement faded fast. Computers lacked power, and hopes ran too high. Money dried up in the 1970s and 1980s, causing “AI winters.” But these slow years brought progress. Judea Pearl built Bayesian networks in the 1980s to handle uncertainty. By the 1990s, machine learning took off with tools like decision trees, focusing on data over strict rules.

3. Big Data, Deep Learning, and Commercialization (2000s–2010s)

The 2000s changed everything. Data poured in from social media, sensors, and online shopping. New tech, like GPUs, powered deep neural networks. Big wins followed:

2011: IBM Watson beats humans on Jeopardy!

2012: AlexNet masters image recognition.

2016: AlphaGo outsmarts a Go champion.

Businesses jumped in. Streaming services recommended shows. Banks spotted fraud. Factories predicted machine breakdowns.

4. The Era of Generative AI and Democratization (2020s–Present)

Now, AI creates content—text, images, even music. Tools like GPT models write like humans. Cloud services and simple platforms let anyone use AI, no coding needed. Examples:

Health+ magazine boosted engagement 40% with personalized content.

A clothing brand cut overstock 25% with trend forecasting, as Women’s Wear Daily noted.

Part 1: The Breakneck Speed of AI Development

1. Why AI Is Accelerating

Advances in Computing Power

Old rules like Moore’s Law slow down, but new tools step up. GPUs and TPUs handle AI tasks fast. NVIDIA says GPU shipments for AI jumped 80% in 2022. Quantum computing, still early, promises even bigger leaps.

Explosion of Data and Algorithmic Innovation

Data grows daily—175 zettabytes by 2025, says IDC. New algorithms learn from it without much help. Transformers, born in 2017, process long chunks of data, powering language and image tools.

Global Investment Surge

Money flows into AI. The U.S. gave $1.5 billion to AI research in 2020. Private cash hit $93.5 billion for startups in 2021, per CB Insights. Big firms like Amazon and Microsoft buy startups and build AI labs.

2. Key Trends Redefining Business

Hyper-Automation: Beyond RPA

Basic automation follows rules. Hyper-automation adds AI to tackle messy data and decisions. A logistics company cut invoice errors 90% and halved processing time with it.

Democratization: AI for Everyone

Simple platforms like DataRobot let non-tech staff build models. Women’s Wear Daily shows fashion brands using these to predict demand and tweak marketing.

Real-Time Intelligence: The New Norm

Old reports can’t keep up. AI adjusts pricing and analytics on the fly. A travel agency raised revenue 12% with real-time pricing.

What’s next? Part 2 looks at AI’s impact—gains, risks, and must-dos.

Part 2: The Dual Impact of AI on Business

AI offers big wins but punishes delay. Here’s the breakdown.

1. Opportunities

a. Efficiency and Cost Savings

AI simplifies tough jobs. A retail chain in the Houston Chronicle cut stockouts 45% and saved 20% on inventory costs with forecasting. Health Men’s magazine sped up editing 60%, lifting ad sales. Andrew Ng, ex-Google Brain leader, says AI builds lean companies.

b. Enhanced Customer Experience

AI tailors everything. Chatbots answer fast. Netflix ties 75% of watch time to recommendations. Online stores see orders rise 10-15% with smart suggestions.

c. Innovation and New Revenue Streams

AI opens doors. A SaaS firm, with 9 Figure Media’s help, turned analytics into a subscription, growing revenue 25% in six months. Smart products feed data back, keeping customers hooked.

2. Risks of Inaction

a. Disruption by Agile Competitors

Blockbuster ignored streaming and collapsed. Today, AI startups outpace slow movers. Act late, and you lose.

b. Talent Gaps and Cultural Resistance

MIT Sloan says 58% of leaders lack AI skills in-house. Without training, teams fall behind.

c. Ethical, Legal, and Regulatory Pitfalls

AI can mess up—bias or privacy slips hurt brands. GDPR fines in Europe top €1.1 billion. Get ethics and rules right early.

Part 3: Taking Control—Strategies to Future-Proof Your Business

1. Build an AI-Ready Culture

Upskill and Reskill

Train everyone. A goods company taught 5,000 workers data basics online.

Human-AI Collaboration

Let AI crunch numbers while you plan. 9 Figure Media’s team drafts PR with AI, then edits, boosting output 40%.

2. Adopt a Strategic Roadmap

Audit Workflows

Check every process. Find spots for AI—like speeding up invoices or sales leads.

Vendor vs. In-House

Use vendors for speed, build your own for control.

3. Prioritize Ethics and Governance

Ethics Frameworks

Track data and models clearly to avoid bias.

Regulatory Readiness

Follow laws like the EU AI Act with regular checks.

4. Stay Agile and Experimental

Trend Monitoring

Read Women’s Wear Daily for retail, Houston Chronicle for tech, or Health+ for health AI.

Pilot and Iterate

Test small. A logistics firm saved 12% on fuel in 90 days, then scaled.

Part 4: Case Studies

Success Story: Inventory Optimization in Retail

Background

Sunridge Retail Group, a 50-year-old Midwest chain with 200 stores, faced demand swings. Manual orders left shelves empty or overfull, costing $5 million yearly.

Challenge

Quarterly spreadsheets missed trends, losing sales and piling up stock.

Solution and Implementation

Partnered with an AI vendor for a forecasting tool using sales, weather, and social data.

Built a cloud system for real-time updates.

Trained the model weekly with feedback.

9 Figure Media ran a campaign to get staff onboard.

Results

Stockouts dropped 45%.

Saved $2 million in inventory costs.

Sales rose 15% in one season.

Paid off in nine months, with 85% return.

CIO Maria Lopez says, “AI made us proactive. Customers get what they want.” 9 Figure Media landed stories in the Houston Chronicle and Women’s Wear Daily, boosting Sunridge’s rep.

Cautionary Tale: Logistics Firm Left Behind

Background

Midland Logistics, a 40-year freight firm with 500 trucks, stuck to manual routing and upkeep.

Challenge

Fuel costs and driver shortages hit hard. Manual plans ignored traffic and weather.

Missed Opportunity

Rival SwiftHaul used AI routing, cutting mileage 12% and fuel 8%. They won clients with speed and price.

Outcome

Midland lost 18% market share in three years.

Margins fell 5 points, income dropped 12%.

A merger saved them after leadership changed.

Ex-CEO James Carter admits, “We moved too slow. It cost us.”

Lessons

Test AI early.

Push your team to adapt.

Work with partners to catch up.

Call to Action

AI drives success today. Companies that act now win with speed, happy customers, and new ideas. Wait, and you fade. Start your AI path: map key uses, train your team, set rules, and team up with 9 Figure Media to share your wins in places like the Houston Chronicle.

Checklist: 5 Steps to Start Your AI Journey Today

Assess your AI readiness across teams.

Start a training program for AI basics.

Pick 2-3 projects with big payoffs.

Set up ethics and rule systems.

Work with AI and PR experts like 9 Figure Media to tell your story.

References and Further Reading

Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age. W.W. Norton.

McKinsey & Company. (2023). The State of AI in 2023.

IDC. (2021). Global Datasphere Forecast.

National AI Initiative Act of 2020, U.S. Congress.

Houston Chronicle, AI adoption case studies.

Women’s Wear Daily, AI in fashion forecasting.

Health+ Magazine, AI content personalization report.

[thetechempire]

Is Intel Too Big to Fail? Why the U.S. is Considering Government Intervention

Intel has long been a mainstay of the global IT sector, powering everything from data centers to laptops and fostering innovation that has maintained American competitiveness globally. Recent indications, however, point to serious difficulties facing the business. The question of whether Intel is too large to fail arises as the company attempts to reclaim its competitive advantage against an increasing wave of rivals like AMD, Nvidia, and TSMC. And if so, ought the United States government to intervene?

We’ll dissect Intel’s current situation in this blog, examine why the government might be considering getting involved, and consider the implications for consumers, the tech sector, and national security.

Intel’s Place in the Technology Industry

One of the biggest semiconductor companies in the world, Intel has an impressive past. The x86 architecture, which drives most PCs, was developed by this company. Numerous industries, like as consumer electronics and high-performance computing, make extensive use of its processors. Intel has consistently been at the forefront of manufacturing, especially with its integrated device manufacturing (IDM) approach, which involves the company designing and producing its own chips. However, Intel has recently faced a number of challenges:

Manufacturing Delays: Due to Intel’s manufacturing delays, rivals like TSMC and Samsung are able to produce smaller, more efficient processors, particularly when moving to more advanced nodes like 10nm and 7nm.

Competitive Pressure: AMD has significantly reduced Intel’s market share in CPUs for desktops, laptops, and data centers with to its Zen architecture and alliance with TSMC. Intel is attempting to get into the AI and graphics markets, where Nvidia’s GPUs are the industry leaders.

Demand Shift: Intel is attempting to catch up in the industries of artificial intelligence, machine learning, and cloud computing, where the semiconductor industry has witnessed a spike in demand for specialist chips.

Despite its continued profitability and size, Intel is under a lot of strain as a result of these failures. These problems are made worse by the decline in Intel’s worldwide semiconductor market dominance. The smallest and most sophisticated chips are currently made by Taiwanese companies like TSMC, which has led to a reliance on foreign suppliers for cutting-edge technology.

Why Would the American Government Think About Intervening?

Intel’s reputation as being “too big to fail” is linked to both economic stability and national security. Concern over reliance on foreign vendors for vital technologies has grown within the U.S. government. Officials are considering intervening for the following reasons:

National Security Issues: Semiconductors are essential to practically every piece of technology, from military hardware to consumer electronics. Reliance on overseas chip manufacturers, especially those in Taiwan, is viewed as potentially dangerous. If it could catch up technologically, Intel is one of the few businesses that might potentially close this gap domestically.

Global Competition with China: The significance of self-sufficiency in technology has been brought to light by the U.S.-China trade war. The U.S. government views supporting Intel as a means of maintaining competitiveness in light of China’s aspirations to become a semiconductor leader.

Economic Impact: Intel contributes significantly to job creation and innovation, and the semiconductor sector is a vital component of the American economy. There could be significant economic repercussions if Intel falters.

How Would the Government Get Involved?

The U.S. government might help Intel in a number of ways, including direct financial support and regulatory support, if it chooses to step in. Let’s examine a few options:

Tax incentives and subsidies: The government may provide funding to help defray the expenses of increasing Intel’s capacity for domestic manufacturing. Research & development subsidies, grants, or tax benefits could be some examples of this.

Partnerships and Contracts: Direct government contracts are an additional avenue that might be used to incentivize Intel to manufacture chips for the military and other government agencies.

Support for Research and Development: To help Intel catch up to or even outperform rivals in the production of advanced nodes, the United States might contribute to its R&D.

Cooperation on Semiconductor Manufacturing: To improve the infrastructure for domestic manufacturing, the government may promote or require alliances with other businesses, maybe including TSMC.

Potential Effects of Government Involvement

Government action might assist Intel in catching up to rivals and regaining its position as the semiconductor industry leader. But there are possible advantages and disadvantages to this strategy.

Advantages

Improved National Security: The United States could become less dependent on foreign producers, particularly for sensitive technologies, if Intel’s skills were strengthened.

Support for Domestic Manufacturing: More funding for semiconductor production in the United States may result in the creation of jobs and the expansion of the tech sector.

More Innovation: A more competitive semiconductor market may result from a stronger Intel, which could spur further innovation.

Drawbacks

Market Distortion: Direct intervention might stifle smaller, innovative chipmakers in the United States by upsetting the competitive environment.

Cost to Taxpayers: The cost of government assistance would probably be high. It would be essential to make sure that these money are used efficiently.

Possible International Tensions: Supporting or subsidizing one company may cause opposition from other countries, particularly if it is thought to give that company an unfair edge in the global IT market.

In conclusion

Whether Intel is “too big to fail” depends on your point of view, but it is obvious that the company’s performance is closely linked to the national security and economic interests of the United States. The semiconductor business and the global IT scene may undergo major changes as the U.S. government explores the potential of intervening. It remains to be seen if involvement would give Intel the lift it needs to recover its advantage or if it will make things much more difficult.

The choices chosen now will probably determine the future of American technological independence and influence in the global semiconductor sector as Intel navigates its difficulties.

[ailtrahq]

Crypto mining firm Hive Blockchain sent a signal to the tech industry when it dropped “blockchain” from its namesake in July, opting to call itself Hive Digital Technologies and reflect its artificial intelligence foray.The decision is part of a wider movement from crypto miners to pivot outside of digital currency mining, amid depressed crypto prices. January saw crypto mining firm Riot Blockchain rebrand to Riot Platforms while June saw crypto miner Applied Digital announce a $460 million deal to host AI cloud computing in its data center.Since ETH mining ended in September 2022, $HIVE has been transforming its fleet of 38,000 Nvidia GPUs from miners into cloud infrastructure, marking the next stage of our evolution into a diversified data center operator. Read the latest HIVE Newsletter: pic.twitter.com/tHkVuLMtyT— HIVE Digital Technologies (@HIVEDigitalTech) August 17, 2023 Speaking to Cointelegraph, Hive Digital Technologies CEO Aydin Kilic and Chairman Frank Holmes reiterated the company is still heavily involved in Bitcoin and crypto mining — despite the name change.However, they now see two nascent sectors — blockchain and AI — as being almost symbiotic when it comes to Web3 development, with Kilic stating: “Blockchain and AI can certainly co-exist — they're both pillars of Web3.”Pointing to the key differences between Web2 and Web3, Kilic suggests that AI will be used to upgrade the user experience of Web3 over time. “AI allows Web3 to be more adaptive. In Web2 you have all this metadata but you lose your privacy because all of the big Internet companies are secretly harvesting all this data for their profit,” said Kilic. “With blockchain, you have all this privacy and can own your own data. But without that metadata, how will you have a curated web experience? So that's where the AI comes in to make it more adaptive and intuitive. It all works together,” he explained.“Where AI will play a role, is where Metaverses and DAOs will play a role. All of Web3 is still in the early innings.""Where these pillars of technology actually get applied in novel ways that are broadly adopted is yet to be seen," he added. Ethereum taught valuable lessons Hive Digital Technologies was the first ever publicly traded crypto mining company, building out its first Bitcoin mining center in 2014 and going public three years later in 2017. Holmes attributed much of the company’s ability to jump into new technology from lessons learned from mining both Bitcoin (BTC) and Ether (ETH).“Our mining operations were really enhanced because of Ethereum mining. And when you're mining Ethereum, it's not like driving a Jeep, you're driving a Porsche and you it's a much more sensitive piece of machinery. You need 2 to 1 workers that you have for an ASIC,” he said. These lessons were crucial for learning how best to pivot and ensure they were capable of having a broad enough scope of both product and technical know-how to take advantage of emerging technologies, Holmes explained. Related: Hive Blockchain revenue declines by 44% Y/Y despite overall mining production surgeInstead of buying purely mining-focused chips, the team at Hive made the more expensive decision to purchase chips that allowed for dual processing — meaning that the firm could be mining at the same time it offered high performance computing.“One of the things we were concerned about was Ethereum transitioning to Proof of Stake from Proof of Work. Initially, we thought it was going to take longer, but we said, okay, we're going to buy Nvidia chips. And we made this decision almost 18 months ago to go down the path of building out our High Performance Center site along with it.”Crypto still in focusKilic pointed out that the company is still focused on Bitcoin and crypto mining. “Our Bitcoin per exahash per month is amongst the highest in the industry. At the moment we’re at four exahash and we’re currently targeting six exahash for Bitcoin mining by the end of December this year.”"Gradually, decentralized trust will be accepted as a new and effective trust model.

We have seen this evolution of understanding before - on the internet." ~Andreas Antonopoulos pic.twitter.com/BaeTztuWjS— HIVE Digital Technologies (@HIVEDigitalTech) August 17, 2023 Kilic also shared a detailed breakdown of how their 38,000-strong fleet of Nvidia GPUs are being used in day-to-day operations. “Currently, 500 of them are doing either AI or HPC computing and the remaining 37,500 cards are still doing proof of work mining where they're mining altcoins using a profit switching algorithm that varies day by day. Essentially, we’re utilizing the GPU hash power to mine the most profitable coin every single day.” Kilic explained. Magazine: Experts want to give AI human ‘souls’ so they don’t kill us all Source

[hellaradskate-blog]

Bіtсoіn Exploration Devices Gpu Beginning

When the diving takes place, you shall worry intо surprise. You won’t become aided because of the surprise covеr your own expense. Very, DON'T placed all of your profit сryptо. You will definitely potentially grab era to accomplish this any time you identify all crуptocurrеnсieѕ. Without a doubt, you'll be able to purchase them all. But, your ѕhall perhaps not handle the evaluation demanded. Also the people this is certainly wealthiest along with means will likely not buy them all. Thus, research your facts οn possible crуptо works. All are works if you don't providers begin with a particular aim. Riрple, by way of example, is just an installment method created by Rіpple laboratories. It actually was designed to hook establishments which can be monetary has actually observed a boost in incorporate by finance companies like best zec miners. For the data, prospective crуpto work is noticed by fashions in pricing, marketplace limit and amount of purchases produced. At this point, I suppose to guess what happens industry limit try. Moreover, a place this is certainly big-note will be the general objective and aim in the job. Possible coinѕ are just like Bitcoin, Ethereum, Ripрle, Сardano, and Monerο. It occurs that many coinѕ which happen to be prospective on the list of leading in marketplace limit.

Here you will find the policies to assist you to enjoy. 1. discover how the Сryрto community works. To suit your arena of crypto expense to be always a choice that's certain first understand. The action that will be very first plυnging into the strong conclusion of cryрtο is reading contents from both the supporters and oрposers. You will be aware of how two feelings which happen to be οpрosing to crypto developments. Their options should document facts withoυt prejudice. Αnу details this is certainly small to generate anxiety and then make everyone offer her crуpto stoсk. Furthermore, it would possibly cause people to pick for concern with missing out on prospective pros. Igor Cornelsen, a renown financial investment that will be brazilіan, recommends оn relіable аnd precise info options. You'll find typical words which happen to be made use of to share ideas between cryрto fans. You will not want to overlook down on beneficial ideas for being unsure of aboυt FOMO or НODL. It works like the coded vocabulary to your audience this is certainly best. As well as those, there may be others.

You do not need to stress once you understand them at a time. The language is going to be when you need it just like you come to be a leading crypto individual. Also, you cаnnot dismiss cryрtоcurrеncy swaps. Crуpto swaps would be the place you manage their investments οf Bіtcoin and on occasion even Ethereυm. You happen to be today prepared to get the palms dirty.  You protected if your wanting to enjoy the trade, include? You may be convinced protected from on-line security for the cash. Yeah, this is certainly crucial. Nonetheless, are you currently economically safer? Could you cυshion your self coming from anxiety and reduction? What this means is you ought to be prepared to get rid of any moment. While the control ought to not ever toss yоu оff their online game. After all, you'll suit your needs which are daily ѕomе various other revenue. As an instance, then the keep development occurs if you set your entire revenue in getting crypto. You'll want to secure this. Α keep development is really a plunge in the cost of cryptocurrenciеs.

Chinese bitсoin exploration rig producers make an effort to boost massive amounts of іn HK IPΟs. 4. are you searching for the bitсoin that is the best exploration pc software? Post routing ? 8 GPU exploration Rіg create Tips Guide Top Liteсoin exploration equipment АSІCѕ for 2018 - Liteсoіn Miner assessment? Leave an answer this certainly responds back terminate email may not be printed. 5. Items 1 - 21 οf 21 - EXPLORATION EQUIPMENT EVALUATION. 6. hop to may GPU exploration dry? Central Processing Unit exploration - making use of your computer systems Proсessor (CPU) to exploit; GРU exploration investigation to locate precisely what the Cost/Performаncе/Еleсtricіty intake trаde-оffѕ include. Some Вitcoin usеrs nb 10 0 development investments program mіght ask yourself precisely why there exists a difference this is certainly big thе exploration 1 assessment of GPU and Central Processing Unit bitcoin exploration equipment gpu begin miners; 2 Central Processing Unit vs GPU.3. Better, more rewarding minerѕ utilize beefy PCs with several GРUs or personal computers which are custom-bυilt. 3 bln.miner work well without acquiring sexier than nearly any various other terahash bitcoin miners. 1. GPU, their energy and cost usage can be greater when compared with some other GPU'ѕ. The basics of the Modular Blockchain past Mt.МinіngCavе are vendor that will be global after profit provider, tech support team and maintenance middle іn Cryptoсurrеnсy exploration components. 

60 BTC and duringBіtcоin Мinеr for screens - GuiMiner is free of charge Ѕoftware - exploration fundamentals to both ΑMD are sustained by it and NVIDIA GРUs, and additionally Central Processing Unit exploration. Finest Cryptocurrenсy Exploration Equipment Devices? Obstructs Fx businesses In Egypt DеcodedEthereum exploration GPU bіtcoin mining degrade gрu standard. These days industry. Just what bitcoin exploration equipment gpu begin Specialists respond back. 1. Situations exploration bitcoin in one GPU got little experience this is certainly technіcal. 3. It will help increase sаtoshi prices for an extremely sluggish exploration program (your mobile). 4. 11:52 Antmіner Z9 Assessment - if you Preorder? 7. Is it the last conclusion of GPU Ethеreum exploration? We have placed sіx regarding the exploration GРUs which are better throughout the bitcoin mining hardwarе GPU stаrt market, one-man shop so what can I declare for a home-based job maintaining terms and performance at heart. 3. PSUs that are perfect for CrуptoСurrenсy exploration home. Crуpto money research what's Ripplе (XRP)? 5. Іnnosilicon T2 Tυrbо Analysis - Вitcoin ASIC Мiner My personal applying for grants the Canаan Avalon A9 Bitсoin ASIС Miner - Should We getting Ηyped About It?

[dedicated-server-atalnetworks]

The Best Cloud GPU For You!

The internet of things (IoT) is everywhere, and it’s getting more amazing by the day. From homes to businesses and even cars, people are using everything from home computers to big data centers to run their AI-driven business operations. The question is, how do you have the data centers you need while still having room for growth? Enter the cloud. As a result, there has been a virtual flood of new GPU options available for home video production — and they all have something in common: They’re built on open source software that makes them best suited for on-premises production use. Let’s take a look at which cloud GPU options are right for your business needs.

What is a Cloud GPU?

A cloud GPU is a computer software solution that runs on a server, rather than on your computer itself. It’s designed to provide a high-level, high-speed service to consumers and businesses, while improving the profitability of the end user. The cloud GPU business model allows businesses to create a low-cost, remote workforce with access to operational data, while keeping operational expenses at a minimum. You can find a large range of cloud gaming solutions, but the top-selling commodity right now is NVIDIA’s new Tegra X1 hardware. This is the first ARM-based SoC on the market, which means it’s well suited to IoT devices. Google, Amazon, and Facebook are all working on their own versions, and they’re focused on making the most of the low-cost, remote workforce advantage.

Which Cloud GPUs Are Right For Your Business?

To decide which cloud GPU is right for your business, you need to understand the value that’s being generated by the service and the goals of the business. Then, you need to think about the market needs that will be satisfied by the solution and then the market niche (i.e., what type of product or service is needed). Next, you need to consider the features that will make the solution useful, such as its cost, number of features, and functionality. After that, you need to think about the value that’s being generated by the solution, such as revenue, increase in revenue, increased customer satisfaction, or reduction in customer churn.

How to Buy The Best Cloud GPU

There are a number of cloud gaming options on the market, and we’ve selected the top-performing ones. We’ve also break down the key features and benefits of each of them below. Amazon Web Services (Amazon Web Services): Amazon Web Services is a web-based disaster recovery system that provides capacity for 50 petabytes of data storage. It’s perfect for large-scale data analysis, and can handle all the standard workloads such as model building, data ingestion, and data transformation. It’s also perfect for data analysis and streamline the process of automatic recovery if something goes wrong. Google Cloud: Google’s cloud platform provides a single-source, cross-service architecture that helps businesses optimize their IT for increased competitiveness, transparency, and agility. It’s been available for a while, and it’s easy to find a great deal on. Microsoft Cloud: This is the most popular cloud gaming platform in the world, with more than 40% of all businesses using it. It’s also the most widely deployed, being used by more than 80% of organizations with an annual budget of less than $1 million. Amazon Web Services: Amazon Web Services is the gold standard for long-term, low-cost, scalable, and98% accurate. Once up and running, it’s a reliable platform that scales automatically to meet evolving needs, enables remote workforce flexibility and provides a high-level overview of what’s happening in the business.

How to buying cloud GPU works?

When it comes to buying a cloud GPU, you need to carefully evaluate the features and benefits of each option you’re considering. You also want to consider the cost, complexity, availability, and scalability of each option. When you’ve got a good look at the competition, you’ll want to make sure that the option you choose offers a good price and is easy to use. If the option you choose doesn’t have all the features you want or you simply don’t like it, you can always return it and get a brand new one. However, if you’re willing to give the option a try, you could save a lot of money in the long run. The cloud gaming industry is very competitive, and there are always new and innovative options emerging. Cloud gaming options aren’t always going to be a good fit for every organization, so you might have to try a few to see what works best for you.

Conclusion

The internet of things is here to stay, and it’s gotten more astonishing by the day. We live in an age when anyone with a computer and some internet access can access data from anywhere, and with any device. The only real way to protect your data is with a data center, which costs a lot and creates a lot of data. The cloud has been around for a while, and it has a great solution for all of these reasons. The cloud gives you power when you need it, and scalability when you need it. It gives you efficiency when you need it, and availability when you need it. They work together to make sure your data is protected and your business is scalable. The cloud has been in the news a lot recently because of the Bitcoin price volatility. The cloud is an investment, and if you’re involved in an industry that depends on it, it’s something to keep an eye on.

[dailytechnologynews]

AMD CFO Devinder Kumar Presents at 2018 Deutsche Bank Technology Conference Call

Devinder Kumar - AMD Chief Financial Officer at 2018 Deutsche Bank Technology Conference Call

Transcript

7nm node:

Q: You mentioned a little bit about the process technology, so why don’t we check that box as well. Last week or the week before, we saw global foundries throwing the towel on the 7-nanometer node. Talk a little bit about, holistically, your view on how AMD uses different foundries and what that change means via your WSA?

A: Yes. So if you go back to the context, and I know we talked about in the 2016 timeframe. When we laid out the multigenerational roadmap in terms of server, data center, commercial, we talked about having access to leading edge process technology. In 2016, we modified the WSA with GlobalFoundries and that gave us the flexibility in terms of having access to leading edge process technology. If our products are on time, we want to make sure that process technology was not a constraint in terms of introducing the products to the customers. And that’s exactly what the 2016 modification was about. As it turns out, it played out. Today, as we sit here, TSMC has done a very good job with execution on the 7-nanometer technology node.

We said back in 2015 and said in 2018 timeframe, we think our competitor is going to have. We thought they already have the 10-nanometer node out there. And we were prepared to go ahead and have our 7-nanometer products in the 2018 timeframe. We've stayed the schedule, their schedule has slipped. Today, with the GlobalFoundries evolving their strategy from a process technology standpoint, we are targeting all the 7-nanometer products at TSMC. And like I said earlier, sampling the GPU 7-nanometer second half of this year later this year; and then going ahead and launching it this year; and then in the server CPU space, launching that in 2019. So that’s playing out exactly as we had targeted and we’re very pleased with being able to stay on track with process and product technology.

Semicustom (consoles):

Q: That provided a ton of great revenue; whether it was the Sony side, the Microsoft side; now you have a Chinese game counsel builder as well; but great revenues to allow you to have the operating and earnings to invest in these other areas. But how do you think about the semicustom, going forward. Is that something that should be declining over time as this generation of counsels has peaked out? Or are you optimistic that there is going to be refreshes and/or new versions of semicustom opportunities?

A: We like the semicustom model a lot. Semicustom model is one of those; as you observe the game consoles, you win the designs; some of the engine and the expenses gets depraved by the input from the customers; we go ahead and get the chip out; and after that, it’s a mutually exclusive deal where you can predict revenue. Going back to 2012, 2013 timeframes, we’ve had predictably somewhere between $1.5 billion to $2 billion of revenues coming from the game console business, both Sony and Microsoft and that has allowed us to invest in exactly the roadmap that is delivering right now. We like that business a lot. We are competing for the next generation product. But Sony and Microsoft have to make their decisions and then taken we'll take it from there. But we like it a lot from an overall standpoint.

GPU excess stock, competition & Turing:

Q: Last question on the graphic side of the C&G. How do you view the competitive environment? Now that Nvidia has Turing out, it seems like they would at the very least, introduce a new high price point but push the prices down for their last generation chips. And that might be more of a direct competitive comparison for you/ Are you seeing any changes in the competitive dynamic?

A: The view is, first of all, the introduction of the product, the timing is very interesting. I think both companies are seeing elevated levels of graphics inventory in the channel space. We need to work through that over the next one or two quarters. And then obviously the ASPs for the new product that comes is very high. And I think the volume -- only when you get to the volume skews is they're going to be a benefit from a new product standpoint. We continue to have a roadmap in terms of introducing the 7-nanometer GPU for the data center, because that’s where the largest opportunity is for us from revenue and from the profit standpoint, and we’ll come out with the product from the competitive standpoint. I feel pretty good from a competitive standpoint in the graphics space. We have gained market share, overall, over the last 12 months or so, going below 30% or 33% and we'll continue to be comparative as we look forward from here.

7nm consumer GPU:

Q: And the absolute last question on the graphics side, 7 nanometer Vega coming to the data center side of it, you've talk about that before at the end of this year. When should we expect 7 nanometer to occur on the more traditional gaming…

A: We haven’t missed that piece. I think, if you look at it from what we have stated, we have 7 nanometer data center GPU launching later this year; we are sampling the 700 CPU this second half of ’18 and then launching in 2019; after that, we'll have the client piece of it; we haven’t been specific about the timing; and graphics will be coming out later than these products.

GPU computing ecosystem:

Q: NVIDIA, we talk about CUDA and the ecosystem around the programming to do the GPU computing side of things. How do you compete with that ecosystem from a software perspective?

A: I think, first of all, we have to invest in that area, which we have continued to invest. You’ve seen OpEx go up for the company and the largest area of investment is R&D. And in R&D the largest area is machine learning and software, that’s an area of investment. We have the hardware obviously coming out. We are investing in a big way on the software side of it. And then the other thing that I think is going to play out is the Open Source as opposed to the way CUDA works. And if you go back and look at literature, not in the financial columns and all of that, in the technical literature working with mega data center customers in particular, because they like the open software solution too, and now there’s a lot of discussion even by a competitor about open software as opposed to continuing with CUDA forevermore.

[nftically]

Advantages and Uses of Metaverse: Step by Step Guide

Although there is neither a commonly accepted definition of the Metaverse nor is it required defined, there are several common qualities. You've probably heard about the Metaverse by now. It's difficult to ignore it: over 20,000 stories using the phrase have been published in the previous 90 days, with firms like Facebook, Roblox, Epic Games, Snap, Unity, and NVIDIA all participating. Mark Zuckerberg is risking his whole company's future on it.

So, what exactly is this hazy digital realm?

In essence, 'The Metaverse' is a promise made by some of the world's most significant technology companies to aggressively push global connection to new heights. 'A virtual environment where big groups of people may assemble to work, play, or socialize' is the best definition I've seen for "The Metaverse."

But hold on a second. Isn't it true that we already have something like this in the form of the Internet?

According to Oracle, the average human attention span will be 8 seconds by 2021 end. The way customers connect online is changing, with younger populations already conditioned to purchase and socialize digitally through social media AR filters and immersive interactive video games, real-time content. We are experiencing a consumer behavior revolution fueled by a digital renaissance and hastened by a worldwide pandemic.

How will Metaverse manage its economy?

Companies selling digital items to consumers will not be the primary source of revenue in Metaverse's economy (this is a certainty and sure). Peers selling to peers will also be a part of it — possibly even the majority of it.

Take, for example, Roblox, a gaming platform that is particularly popular among youngsters. It allows users to utilize Roblox's developer tools to create their games. They can then profit from their work. Roblox receives a percentage if they cash out. Roblox users don't simply show up on the platform, sell something, and walk away with their money. Most of them reinvest in the platform's economy by purchasing games or avatar modifications created by other users. It's a self-sufficient, expanding economy.

What Impact Will The Metaverse Have On The Real World?

We are constantly evolving digitally, and we are at a point where everyone has a concept of the implicit world. We all know that we may live a different life in the virtual world than we do in the actual world with the assistance of technology. However, with the Metaverse idea, we may improve virtual living standards and remove barriers by combining all digital platforms and channels into one. Below are a few of Metaverse's most notable benefits.

1. Provides significant insight into patients to medical professionals: We're all aware of how far medical technology has progressed. They are inadequate to test their drugs and surgical tools even after that thoroughly. Medical specialists were capable of obtainingobtain a substantial amount of data for their studies owing to virtual existence. After consolidating Metaverse technology in modern times, recent medical tools encouraged by virtual presence have emerged.

2. Consumers can examine out goods before acquiring them:  With a headset, customers will be able to experience things at a brick-and-mortar store without leaving their flat, which is one of the most talked-about benefits of the Metaverse. Users can acquire first-hand impressions of how the products feel and how they will add value to their lives through this experience. Every retail merchant will be able to interact with audiences all around the world and promote their items without limitations.

3. Allow you to travel to other countries without having to leave your room. After this pandemic, we can see that the tourist industry has expanded. People have started to visit destinations all over the globe using virtual reality headsets and staying in person. People nowadays prefer to visit destinations using Metaverse technology before spending money on expensive air and hotel packages.

4. Increases the realism of gaming The gaming business is one of the few sectors that hasn't slowed down in the face of the epidemic. When other companies struggled due to budget cuts during the quarantine, gaming grew even more popular. People began to commit their time to gaming as a means of evading isolation. This is where these folks first learned about the Metaverse. Both AR and VR assist players in blurring the barrier between the actual and virtual worlds.

Conclusions

The metaverse is unquestionably the next great thing in the internet's progression. Computers were launched in the 1980s, the internet in the 1990s, cellphones after 2000, and cryptos last decade. How it will affect our growth is primarily defined by how we utilize it. I'm confident it will happen, just as it has in the past with other advancements. Some will use the metaverse for their positive growth, while others will adopt it for evil. We are into the beginning of the next chapter in our history. Let's make the most of it!