#big data software market

[abathurofficial]

Abathur

At Abathur, we believe technology should empower, not complicate.

Our mission is to provide seamless, scalable, and secure solutions for businesses of all sizes. With a team of experts specializing in various tech domains, we ensure our clients stay ahead in an ever-evolving digital landscape.

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[best-seller-in-italia]

Come guadagnare lavorando con l'intelligenza artificiale

[romanblog1]

Cómo generar ingresos trabajando con inteligencia artificial

[maximumsongcandy]

Big Data Analytics Software Market Opportunities: Exploring Growth Avenues Across Key Industry Verticals

The big data analytics software market is undergoing a significant transformation, opening up new opportunities across various industries. As the digital landscape continues to evolve, businesses are turning to big data solutions to gain competitive advantages, streamline operations, and better understand customer behavior. With the increasing adoption of cloud computing, IoT, and AI technologies, the demand for advanced analytics tools is skyrocketing, creating an expansive opportunity for growth in the big data analytics software space.

Growing Demand Across Industry Verticals

One of the key drivers of the Big Data Analytics Software Market is its relevance across a wide range of industries. In sectors like healthcare, finance, retail, manufacturing, and telecommunications, organizations are embracing data analytics to enhance performance and gain deeper insights.

In healthcare, big data analytics is being used to improve patient care through predictive diagnostics, personalized treatment, and operational efficiencies. Similarly, financial institutions are relying on analytics software to detect fraud, assess risk, and optimize investment strategies. Retailers use big data tools to track consumer behavior, personalize shopping experiences, and improve supply chain management.

These use cases demonstrate that the Big Data Analytics Software Market is not limited to any one domain. Its applicability across verticals ensures a broad and sustained demand, creating immense opportunities for software vendors and service providers alike.

Advancements in AI and Machine Learning

The integration of artificial intelligence (AI) and machine learning (ML) is significantly enhancing the capabilities of big data analytics software. Modern platforms are now capable of processing vast datasets in real time, identifying patterns, and delivering predictive insights that were previously unattainable. These technological advancements are reshaping how organizations operate, from automating routine tasks to optimizing complex processes.

As AI continues to mature, the Big Data Analytics Software Market will benefit from even greater levels of automation, accuracy, and scalability. Vendors that can successfully incorporate AI-driven features into their solutions stand to gain a considerable competitive advantage.

Cloud Adoption and Scalability

Cloud computing is another major factor fueling opportunities in the Big Data Analytics Software Market. Cloud-based analytics platforms offer businesses the flexibility to scale operations, store massive datasets, and process information without the need for extensive on-premise infrastructure.

The shift to cloud analytics not only reduces upfront costs but also allows for faster deployment and greater collaboration across departments. As more organizations embrace hybrid and multi-cloud strategies, the demand for cloud-native big data analytics tools is expected to grow rapidly.

This trend creates a fertile ground for software providers to innovate with scalable, cloud-first solutions that cater to the needs of both small businesses and large enterprises.

Government Initiatives and Data Regulations

Governments worldwide are investing heavily in digital infrastructure and promoting data-driven decision-making through various initiatives. Public sector adoption of big data analytics is expanding in areas like smart cities, national security, public health, and education.

At the same time, data privacy regulations such as GDPR, HIPAA, and CCPA are compelling organizations to invest in compliant analytics solutions. These regulations present both challenges and opportunities—companies that offer secure, privacy-focused big data analytics platforms can carve out a strong niche in the market.

Emergence of Real-Time Analytics

Real-time analytics is emerging as a critical capability in today's fast-paced business environment. Whether it's responding to customer inquiries, monitoring production lines, or detecting cyber threats, the ability to analyze data instantly has become a key differentiator.

The Big Data Analytics Software Market is seeing increased demand for solutions that provide real-time processing and visualization. Innovations in in-memory computing, stream processing, and edge analytics are driving this shift, allowing businesses to make timely decisions based on up-to-the-second data.

Opportunities in Emerging Markets

While North America and Europe remain dominant players in the Big Data Analytics Software Market, emerging economies in Asia-Pacific, Latin America, and the Middle East are rapidly catching up. These regions are experiencing digital transformation at an accelerated pace, fueled by investments in IT infrastructure and a growing emphasis on data-centric strategies.

Startups and established vendors alike have opportunities to tap into these markets by offering localized, cost-effective analytics solutions tailored to regional needs. Strategic partnerships, regional data centers, and customized deployment models can help businesses expand their footprint and gain traction in these high-growth regions.

Conclusion: A Market Poised for Sustained Growth

The big data analytics software market is poised for robust expansion, with numerous opportunities emerging from technological advancements, cross-industry adoption, and global digitalization trends. Companies that invest in innovative, scalable, and secure analytics platforms will be well-positioned to lead the next wave of data-driven transformation.

As organizations continue to seek actionable insights from their data, the demand for sophisticated analytics tools will only grow, solidifying the market's role as a cornerstone of modern business strategy. The future holds immense potential for those ready to embrace and innovate within the big data analytics landscape.

4o

[cubera2024]

Best AdTech Ecosystem Company in Bangalore | Zero Party Data - CUBERA

Cubera leads the AdTech industry by empowering brands with access to zero and first-party data, enabling transformative advertising strategies. Our data-driven approach enhances campaign efficiency, transparency, and performance, making Cubera the go-to platform for innovative advertising solutions. Cubera’s services ensure seamless, effective campaigns. With Omni-Channel Targeting, AI-powered Cohort Analysis, and comprehensive Ad Services, brands can reach their audience across platforms with precision and transparency, maximizing engagement and ROI. Cubera’s powerful suite of tools—Cube, Cubera Identity Graph, Vertex, and Edge—delivers advanced data integration and targeting capabilities. These tools empower brands to execute highly efficient and transparent ad campaigns, leveraging the latest in AdTech innovation.

[phantomrose96]

If anyone wants to know why every tech company in the world right now is clamoring for AI like drowned rats scrabbling to board a ship, I decided to make a post to explain what's happening.

(Disclaimer to start: I'm a software engineer who's been employed full time since 2018. I am not a historian nor an overconfident Youtube essayist, so this post is my working knowledge of what I see around me and the logical bridges between pieces.)

Okay anyway. The explanation starts further back than what's going on now. I'm gonna start with the year 2000. The Dot Com Bubble just spectacularly burst. The model of "we get the users first, we learn how to profit off them later" went out in a no-money-having bang (remember this, it will be relevant later). A lot of money was lost. A lot of people ended up out of a job. A lot of startup companies went under. Investors left with a sour taste in their mouth and, in general, investment in the internet stayed pretty cooled for that decade. This was, in my opinion, very good for the internet as it was an era not suffocating under the grip of mega-corporation oligarchs and was, instead, filled with Club Penguin and I Can Haz Cheezburger websites.

Then around the 2010-2012 years, a few things happened. Interest rates got low, and then lower. Facebook got huge. The iPhone took off. And suddenly there was a huge new potential market of internet users and phone-havers, and the cheap money was available to start backing new tech startup companies trying to hop on this opportunity. Companies like Uber, Netflix, and Amazon either started in this time, or hit their ramp-up in these years by shifting focus to the internet and apps.

Now, every start-up tech company dreaming of being the next big thing has one thing in common: they need to start off by getting themselves massively in debt. Because before you can turn a profit you need to first spend money on employees and spend money on equipment and spend money on data centers and spend money on advertising and spend money on scale and and and

But also, everyone wants to be on the ship for The Next Big Thing that takes off to the moon.

So there is a mutual interest between new tech companies, and venture capitalists who are willing to invest $$$ into said new tech companies. Because if the venture capitalists can identify a prize pig and get in early, that money could come back to them 100-fold or 1,000-fold. In fact it hardly matters if they invest in 10 or 20 total bust projects along the way to find that unicorn.

But also, becoming profitable takes time. And that might mean being in debt for a long long time before that rocket ship takes off to make everyone onboard a gazzilionaire.

But luckily, for tech startup bros and venture capitalists, being in debt in the 2010's was cheap, and it only got cheaper between 2010 and 2020. If people could secure loans for ~3% or 4% annual interest, well then a $100,000 loan only really costs $3,000 of interest a year to keep afloat. And if inflation is higher than that or at least similar, you're still beating the system.

So from 2010 through early 2022, times were good for tech companies. Startups could take off with massive growth, showing massive potential for something, and venture capitalists would throw infinite money at them in the hopes of pegging just one winner who will take off. And supporting the struggling investments or the long-haulers remained pretty cheap to keep funding.

You hear constantly about "Such and such app has 10-bazillion users gained over the last 10 years and has never once been profitable", yet the thing keeps chugging along because the investors backing it aren't stressed about the immediate future, and are still banking on that "eventually" when it learns how to really monetize its users and turn that profit.

The pandemic in 2020 took a magnifying-glass-in-the-sun effect to this, as EVERYTHING was forcibly turned online which pumped a ton of money and workers into tech investment. Simultaneously, money got really REALLY cheap, bottoming out with historic lows for interest rates.

Then the tide changed with the massive inflation that struck late 2021. Because this all-gas no-brakes state of things was also contributing to off-the-rails inflation (along with your standard-fare greedflation and price gouging, given the extremely convenient excuses of pandemic hardships and supply chain issues). The federal reserve whipped out interest rate hikes to try to curb this huge inflation, which is like a fire extinguisher dousing and suffocating your really-cool, actively-on-fire party where everyone else is burning but you're in the pool. And then they did this more, and then more. And the financial climate followed suit. And suddenly money was not cheap anymore, and new loans became expensive, because loans that used to compound at 2% a year are now compounding at 7 or 8% which, in the language of compounding, is a HUGE difference. A $100,000 loan at a 2% interest rate, if not repaid a single cent in 10 years, accrues to $121,899. A $100,000 loan at an 8% interest rate, if not repaid a single cent in 10 years, more than doubles to $215,892.

Now it is scary and risky to throw money at "could eventually be profitable" tech companies. Now investors are watching companies burn through their current funding and, when the companies come back asking for more, investors are tightening their coin purses instead. The bill is coming due. The free money is drying up and companies are under compounding pressure to produce a profit for their waiting investors who are now done waiting.

You get enshittification. You get quality going down and price going up. You get "now that you're a captive audience here, we're forcing ads or we're forcing subscriptions on you." Don't get me wrong, the plan was ALWAYS to monetize the users. It's just that it's come earlier than expected, with way more feet-to-the-fire than these companies were expecting. ESPECIALLY with Wall Street as the other factor in funding (public) companies, where Wall Street exhibits roughly the same temperament as a baby screaming crying upset that it's soiled its own diaper (maybe that's too mean a comparison to babies), and now companies are being put through the wringer for anything LESS than infinite growth that Wall Street demands of them.

Internal to the tech industry, you get MASSIVE wide-spread layoffs. You get an industry that used to be easy to land multiple job offers shriveling up and leaving recent graduates in a desperately awful situation where no company is hiring and the market is flooded with laid-off workers trying to get back on their feet.

Because those coin-purse-clutching investors DO love virtue-signaling efforts from companies that say "See! We're not being frivolous with your money! We only spend on the essentials." And this is true even for MASSIVE, PROFITABLE companies, because those companies' value is based on the Rich Person Feeling Graph (their stock) rather than the literal profit money. A company making a genuine gazillion dollars a year still tears through layoffs and freezes hiring and removes the free batteries from the printer room (totally not speaking from experience, surely) because the investors LOVE when you cut costs and take away employee perks. The "beer on tap, ping pong table in the common area" era of tech is drying up. And we're still unionless.

Never mind that last part.

And then in early 2023, AI (more specifically, Chat-GPT which is OpenAI's Large Language Model creation) tears its way into the tech scene with a meteor's amount of momentum. Here's Microsoft's prize pig, which it invested heavily in and is galivanting around the pig-show with, to the desperate jealousy and rapture of every other tech company and investor wishing it had that pig. And for the first time since the interest rate hikes, investors have dollar signs in their eyes, both venture capital and Wall Street alike. They're willing to restart the hose of money (even with the new risk) because this feels big enough for them to take the risk.

Now all these companies, who were in varying stages of sweating as their bill came due, or wringing their hands as their stock prices tanked, see a single glorious gold-plated rocket up out of here, the likes of which haven't been seen since the free money days. It's their ticket to buy time, and buy investors, and say "see THIS is what will wring money forth, finally, we promise, just let us show you."

To be clear, AI is NOT profitable yet. It's a money-sink. Perhaps a money-black-hole. But everyone in the space is so wowed by it that there is a wide-spread and powerful conviction that it will become profitable and earn its keep. (Let's be real, half of that profit "potential" is the promise of automating away jobs of pesky employees who peskily cost money.) It's a tech-space industrial revolution that will automate away skilled jobs, and getting in on the ground floor is the absolute best thing you can do to get your pie slice's worth.

It's the thing that will win investors back. It's the thing that will get the investment money coming in again (or, get it second-hand if the company can be the PROVIDER of something needed for AI, which other companies with venture-back will pay handsomely for). It's the thing companies are terrified of missing out on, lest it leave them utterly irrelevant in a future where not having AI-integration is like not having a mobile phone app for your company or not having a website.

So I guess to reiterate on my earlier point:

Drowned rats. Swimming to the one ship in sight.

[nidhibhati12]

[zooplekochi]

Are you a graduate looking to improve your skills and upgrade your career in the IT field? For a safe and protected career, select the courses that suit your necessary skills. Explore the list of IT-related courses for graduates and choose the one that matches with your career goals.

In this blog, we will discuss the top professional IT courses that you can consider taking after graduation to stay ahead in the competitive job sector for a successful professional path in the IT field.

[worldoftechnology]

Unveiling the Transformation: How Big Data is Shaping the Tech Landscape

In the dynamic landscape of technology, Big Data stands as a revolutionary force, reshaping industries through its sheer volume, velocity, and variety of information. This colossal collection of data is transforming the technological landscape in five key ways, steering the course of innovation and ushering in a new era of transformation.

Firstly, Big Data fuels the realms of artificial intelligence (AI) and machine learning (ML), providing the vast datasets necessary for sophisticated algorithms to learn and make autonomous decisions. Secondly, it enables predictive analytics, allowing businesses to anticipate future trends and outcomes, transforming decision-making from reactive to proactive. Thirdly, in the arena of cybersecurity, Big Data's real-time analysis of massive datasets is instrumental in detecting and mitigating potential threats.

Moreover, Big Data drives personalization in user experiences, tailoring products and content based on individual preferences. Lastly, its synergy with the Internet of Things (IoT) facilitates the interconnected world of devices, optimizing performance and efficiency. As industries embrace these transformative facets, Big Data emerges not just as a tool but as a catalyst, propelling innovation and steering the trajectory of technological evolution.

1. Fueling Artificial Intelligence and Machine Learning

At the forefront of the technological revolution stands the profound integration of Big Data with artificial intelligence (AI) and machine learning (ML). Big Data acts as the lifeblood, providing the extensive datasets essential for training sophisticated AI and ML algorithms. This synergy empowers machines to transcend mere programming, fostering the ability to learn, adapt, and make autonomous decisions.

The impact of this collaboration reverberates across diverse domains. In the realm of image and speech recognition, Big Data's expansive datasets serve as a training ground, allowing algorithms to recognize patterns and nuances with unprecedented accuracy. Natural language processing, once a formidable challenge, now becomes more refined and contextually aware, enhancing the interaction between machines and humans.

What was once confined to the realms of science fiction—machines learning, evolving, and comprehending complex tasks—is now a reality, thanks to the symbiotic relationship between Big Data and AI/ML.

This integration not only expands the horizons of technological capabilities but also propels innovation into uncharted territories, promising a future where machines not only assist but truly understand and contribute to the human experience. As the tech landscape evolves, this marriage of Big Data and AI/ML continues to be a driving force, steering us toward a future where intelligence is not just artificial but profoundly insightful.

2. Enabling Predictive Analytics for Smarter Decision-Making

In the rapidly evolving landscape of decision-making, Big Data emerges as a transformative catalyst, breaking away from the reliance on historical data and propelling us into an era of predictive analytics. No longer confined to reacting to past trends, businesses and tech professionals now harness the power of Big Data to anticipate future scenarios, behaviors, and outcomes.

This shift from reactive to proactive decision-making is revolutionary. Big Data's ability to process and analyze massive datasets in real-time provides a dynamic lens into what lies ahead. Whether it's forecasting consumer preferences to tailor products and services, predicting equipment failures for preemptive maintenance, or optimizing intricate supply chains, predictive analytics fueled by Big Data affords a foresight that was once inconceivable.

The traditional reliance on historical data, while valuable, can no longer match the agility demanded by today's fast-paced world. Big Data not only reshapes decision-making processes but also injects a strategic foresight that empowers organizations to navigate uncertainties, identify emerging trends, and stay ahead of the curve. As businesses embrace the predictive prowess of Big Data, they step into a realm where foresight becomes a competitive advantage and where the future is not just anticipated but actively shaped.

3. Revolutionizing Cybersecurity

In the ever-expanding digital landscape, the surge in challenges and threats demands an unparalleled ally. Enter Big Data, emerging as a formidable force in the realm of cybersecurity. As the volume and complexity of cyber threats escalate, Big Data stands as the sentinel, continuously analyzing vast datasets in real-time to fortify our defenses.

The marriage of Big Data and cybersecurity is transformative. With the ability to detect anomalies and identify potential threats, cybersecurity systems powered by Big Data operate with a proactive stance, crucial in the perpetual cat-and-mouse game with cyber adversaries. The real-time analysis of massive datasets allows for swift responses, mitigating risks and minimizing the impact of cyber-attacks.

The traditional reactive approaches to cybersecurity are rendered inadequate in the face of evolving threats. Big Data's proactive nature, fueled by its analytics capabilities, empowers organizations to stay one step ahead, predicting and preventing cyber threats before they manifest. As the digital realm becomes more complex, Big Data emerges not just as a tool but as a strategic shield, revolutionizing cybersecurity and safeguarding our interconnected world against an ever-expanding array of cyber risks.

4. Driving Personalization in User Experiences

In the ever-evolving tech landscape, the era of generic, one-size-fits-all experiences is fading into obsolescence, and at the heart of this transformation lies the personalization prowess of Big Data. Whether in the realms of e-commerce, social media, or entertainment platforms, Big Data algorithms are orchestrating a symphony of user data, preferences, and behaviors to curate experiences that resonate on an individual level.

The shift toward personalization is a seismic change in how users interact with technology. Big Data's ability to analyze vast datasets enables platforms to understand user behavior intimately. From the moment a user clicks, scrolls, or makes a purchase, Big Data is silently at work, deciphering patterns and preferences. This wealth of information powers a spectrum of personalized experiences, ranging from tailored product recommendations in e-commerce to content curation on social media.

The engine behind these seamless, individualized experiences is undeniably Big Data. Its algorithms not only anticipate what users want based on their past interactions but also adapt in real-time to evolving preferences. This level of personalization not only enhances user satisfaction but also cultivates brand loyalty in an era where users increasingly expect technology to understand and cater to their unique needs.

As the tech landscape continues to evolve, the role of Big Data in personalization becomes even more pronounced. Beyond convenience, this tailored approach fundamentally reshapes how users engage with digital platforms, creating an environment where technology feels intuitive, anticipatory, and distinctly personalized. In the journey toward user-centric innovation, Big Data stands as a key enabler, sculpting a future where each digital interaction is not just functional but a personalized journey crafted for the individual.

5. Facilitating the Internet of Things (IoT)

The union of Big Data and the Internet of Things (IoT) marks a pivotal chapter in the technological saga, fundamentally reshaping how devices communicate and interact. In the landscape of interconnected devices and sensors that define the IoT, Big Data emerges as the orchestrator, seamlessly sifting through the data deluge to extract valuable insights that fuel a new era of connectivity and intelligence.

The IoT, characterized by its web of connected devices, generates an unprecedented volume of data. From smart home devices to industrial sensors, every interaction and sensor reading contributes to this vast digital symphony. Big Data, with its analytical prowess, steps into the conductor's role, transforming this cacophony of data into actionable insights.

In smart cities, where urban systems are interlinked for efficiency, or in industrial IoT applications, where sensors monitor machinery and production processes, the synergy between Big Data and IoT is pronounced. Big Data analytics not only optimizes performance by identifying patterns and anomalies but also enables predictive maintenance by forecasting equipment failures before they occur.

The result is a landscape where devices are not merely connected but intelligent, where data isn't just collected but leveraged for strategic decision-making. This synergy doesn't just enhance efficiency; it revolutionizes how we perceive and interact with the world around us. The marriage of Big Data and IoT is not just about connectivity; it's about creating a digital ecosystem where devices become intuitive, responsive, and integral to our daily lives.

As the trajectory of technology unfolds, this collaboration between Big Data and IoT promises to shape industries, redefine urban living, and drive innovation across sectors. It exemplifies how, in the grand tapestry of technology, the harmonious integration of data and connectivity is not just a trend but a transformative force steering us into a future where intelligence is embedded in the very fabric of our interconnected world.

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[ellocentlabsin]

How to Choose the Right ReactJS Development Company in Chandigarh

A strong online presence is critical for organizations to succeed in today's digital era. A well-designed and effective website is one of the important aspects that contribute to this presence. ReactJS, a strong JavaScript library, comes into action here. ReactJS has become a cornerstone of current web development due to its ability to construct dynamic and user-friendly interfaces. If you live in Chandigarh and want to use ReactJS, you've come to the right spot. We'll walk you through the process of selecting the finest ReactJS development firm in Chandigarh in this post.

ReactJS is becoming increasingly popular

Trends come and go in the world of web development, but ReactJS has demonstrated its durability. Both businesses and developers have recognized the benefits of adopting ReactJS to create highly responsive and aesthetically appealing online apps. ReactJS's component-based architecture and efficient rendering ensure that users have smooth navigation and quick load times. As a result, there is a growing demand for professional ReactJS developers and development firms, and Chandigarh has emerged as a hub for such services.

Important Factors to Consider When Choosing a ReactJS Development Company - 

1. Experience and Expertise: - Expertise and experience should be your guiding light as you search for the best ReactJS development firm in Chandigarh. Look for a firm that has a team of talented developers with a track record of creating successful ReactJS applications. An experienced team will not only provide high-quality work but will also skillfully handle hurdles, ensuring a smooth development process.

2. Portfolio Evaluation: - A professional ReactJS development business will proudly display its project portfolio. Take the time to go over their portfolio and look at the variety of projects they've worked on. This will give you an idea of their adaptability and ability to customize solutions to various company demands. Pay close attention to the user experience of the websites and applications they've created; this will demonstrate their dedication to providing engaging and user-centric solutions.

3. Client Feedback and Reviews: - Hearing from clients is one of the finest methods to assess a ReactJS development company's legitimacy. Client testimonials and reviews offer personal perspectives of their experiences. Look for organizations that have received favorable feedback that emphasizes not only their technical competence but also their communication, teamwork, and problem-solving abilities. Client satisfaction is a good sign of a company's ability to satisfy expectations and achieve outcomes.

4. Collaboration and communication: - A successful development partnership requires effective communication and teamwork. Choose a firm that appreciates openness and keeps you updated throughout the project. A company that listens to your ideas, comprehends your business objectives, and includes your comments in the development process is more likely to provide a product that is in line with your vision.

5. Further Investigation: - Choosing the best ReactJS development firm in Chandigarh is a critical decision that will shape your organization's online visibility. Consider investigating the following areas to learn more about this subject:

ReactJS Advantages: Discover the particular advantages that ReactJS provides and how they may improve your online apps.

Web Development Trends: Keep up with the newest web development trends, such as the growth of user interfaces and user experience.

Case Studies: Examine case studies that demonstrate how successful ReactJS programming can alter enterprises.

Comparative study: To make an informed decision, do a comparative study of several ReactJS development firms in Chandigarh.

Future of Web Development: Investigate forecasts and insights into the future of web development, as well as how ReactJS will play an important part.

Conclusion:

Finally, selecting the best ReactJS development firm in Chandigarh necessitates thorough analysis and study. You may collaborate with a firm that turns your concept into a dynamic and compelling web application by concentrating on experience, portfolio, customer testimonials, and communication. As technology advances, ReactJS continues to be a driving force in generating outstanding user experiences, making your choice of development partner even more important.

[ecrivainsolitaire]

A summary of the Chinese AI situation, for the uninitiated.

These are scores on different tests that are designed to see how accurate a Large Language Model is in different areas of knowledge. As you know, OpenAI is partners with Microsoft, so these are the scores for ChatGPT and Copilot. DeepSeek is the Chinese model that got released a week ago. The rest are open source models, which means everyone is free to use them as they please, including the average Tumblr user. You can run them from the servers of the companies that made them for a subscription, or you can download them to install locally on your own computer. However, the computer requirements so far are so high that only a few people currently have the machines at home required to run it.

Yes, this is why AI uses so much electricity. As with any technology, the early models are highly inefficient. Think how a Ford T needed a long chimney to get rid of a ton of black smoke, which was unused petrol. Over the next hundred years combustion engines have become much more efficient, but they still waste a lot of energy, which is why we need to move towards renewable electricity and sustainable battery technology. But that's a topic for another day.

As you can see from the scores, are around the same accuracy. These tests are in constant evolution as well: as soon as they start becoming obsolete, new ones are released to adjust for a more complicated benchmark. The new models are trained using different machine learning techniques, and in theory, the goal is to make them faster and more efficient so they can operate with less power, much like modern cars use way less energy and produce far less pollution than the Ford T.

However, computing power requirements kept scaling up, so you're either tied to the subscription or forced to pay for a latest gen PC, which is why NVIDIA, AMD, Intel and all the other chip companies were investing hard on much more powerful GPUs and NPUs. For now all we need to know about those is that they're expensive, use a lot of electricity, and are required to operate the bots at superhuman speed (literally, all those clickbait posts about how AI was secretly 150 Indian men in a trenchcoat were nonsense).

Because the chip companies have been working hard on making big, bulky, powerful chips with massive fans that are up to the task, their stock value was skyrocketing, and because of that, everyone started to use AI as a marketing trend. See, marketing people are not smart, and they don't understand computers. Furthermore, marketing people think you're stupid, and because of their biased frame of reference, they think you're two snores short of brain-dead. The entire point of their existence is to turn tall tales into capital. So they don't know or care about what AI is or what it's useful for. They just saw Number Go Up for the AI companies and decided "AI is a magic cow we can milk forever". Sometimes it's not even AI, they just use old software and rebrand it, much like convection ovens became air fryers.

Well, now we're up to date. So what did DepSeek release that did a 9/11 on NVIDIA stock prices and popped the AI bubble?

Oh, I would not want to be an OpenAI investor right now either. A token is basically one Unicode character (it's more complicated than that but you can google that on your own time). That cost means you could input the entire works of Stephen King for under a dollar. Yes, including electricity costs. DeepSeek has jumped from a Ford T to a Subaru in terms of pollution and water use.

The issue here is not only input cost, though; all that data needs to be available live, in the RAM; this is why you need powerful, expensive chips in order to-

Holy shit.

I'm not going to detail all the numbers but I'm going to focus on the chip required: an RTX 3090. This is a gaming GPU that came out as the top of the line, the stuff South Korean LoL players buy…

Or they did, in September 2020. We're currently two generations ahead, on the RTX 5090.

What this is telling all those people who just sold their high-end gaming rig to be able to afford a machine that can run the latest ChatGPT locally, is that the person who bought it from them can run something basically just as powerful on their old one.

Which means that all those GPUs and NPUs that are being made, and all those deals Microsoft signed to have control of the AI market, have just lost a lot of their pulling power.

Well, I mean, the ChatGPT subscription is 20 bucks a month, surely the Chinese are charging a fortune for-

Oh. So it's free for everyone and you can use it or modify it however you want, no subscription, no unpayable electric bill, no handing Microsoft all of your private data, you can just run it on a relatively inexpensive PC. You could probably even run it on a phone in a couple years.

Oh, if only China had massive phone manufacturers that have a foot in the market everywhere except the US because the president had a tantrum eight years ago.

So… yeah, China just destabilised the global economy with a torrent file.

[ms-demeanor]

Hello! First, I wanted to say thank you for your post about updating software and such. I really appreciated your perspective as someone with ADHD. The way you described your experiences with software frustration was IDENTICAL to my experience, so your post made a lot of sense to me.

Second, (and I hope my question isn't bothering you lol) would you mind explaining why it's important to update/adopt the new software? Like, why isn't there an option that doesn't involve constantly adopting new things? I understand why they'd need to fix stuff like functional bugs/make it compatible with new tech, but is it really necessary to change the user side of things as well?

Sorry if those are stupid questions or they're A Lot for a tumblr rando to ask, I'd just really like to understand because I think it would make it easier to get myself to adopt new stuff if I understand why it's necessary, and the other folks I know that know about computers don't really seem to understand the experience.

Thank you so much again for sharing your wisdom!!

A huge part of it is changing technologies and changing norms; I brought up Windows 8 in that other post and Win8 is a *great* example of user experience changing to match hardware, just in a situation that was an enormous mismatch with the market.

Win8's much-beloathed tiles came about because Microsoft seemed to be anticipating a massive pivot to tablet PCs in nearly all applications. The welcome screen was designed to be friendly to people who were using handheld touchscreens who could tap through various options, and it was meant to require more scrolling and less use of a keyboard.

But most people who the operating system went out to *didn't* have touchscreen tablets or laptops, they had a desktop computer with a mouse and a keyboard.

When that was released, it was Microsoft attempting to keep up with (or anticipate) market trends - they wanted something that was like "the iPad for Microsoft" so Windows 8 was meant to go with Microsoft Surface tablets.

We spent the first month of Win8's launch making it look like Windows 7 for our customers.

You can see the same thing with the centered taskbar on Windows 11; that's very clearly supposed to mimic the dock on apple computers (only you can't pin it anywhere but the bottom of the screen, which sucks).

Some of the visual changes are just trends and various companies trying to keep up with one another.

With software like Adobe I think it's probably based on customer data. The tool layout and the menu dropdowns are likely based on what people are actually looking for, and change based on what other tools people are using. That's likely true for most programs you use - the menu bar at the top of the screen in Word is populated with the options that people use the most; if a function you used to click on all the time is now buried, there's a possibility that people use it less these days for any number of reasons. (I'm currently being driven mildly insane by Teams moving the "attach file" button under a "more" menu instead of as an icon next to the "send message" button, and what this tells me is either that more users are putting emojis in their messages than attachments, or microsoft WANTS people to put more emojis than messages in their attachments).

But focusing on the operating system, since that's the big one:

The thing about OSs is that you interact with them so frequently that any little change seems massive and you get REALLY frustrated when you have to deal with that, but version-to-version most OSs don't change all that much visually and they also don't get released all that frequently. I've been working with windows machines for twelve years and in that time the only OSs that Microsoft has released were 8, 10, and 11. That's only about one OS every four years, which just is not that many. There was a big visual change in the interface between 7 and 8 (and 8 and 8.1, which is more of a 'panicked backing away' than a full release), but otherwise, realistically, Windows 11 still looks a lot like XP.

The second one is a screenshot of my actual computer. The only change I've made to the display is to pin the taskbar to the left side instead of keeping it centered and to fuck around a bit with the colors in the display customization. I haven't added any plugins or tools to get it to look different.

This is actually a pretty good demonstration of things changing based on user behavior too - XP didn't come with a search field in the task bar or the start menu, but later versions of Windows OSs did, because users had gotten used to searching things more in their phones and browsers, so then they learned to search things on their computers.

There are definitely nefarious reasons that software manufacturers change their interfaces. Microsoft has included ads in home versions of their OS and pushed searches through the Microsoft store since Windows 10, as one example. That's shitty and I think it's worthwhile to find the time to shut that down (and to kill various assistants and background tools and stop a lot of stuff that runs at startup).

But if you didn't have any changes, you wouldn't have any changes. I think it's handy to have a search field in the taskbar. I find "settings" (which is newer than control panel) easier to navigate than "control panel." Some of the stuff that got added over time is *good* from a user perspective - you can see that there's a little stopwatch pinned at the bottom of my screen; that's a tool I use daily that wasn't included in previous versions of the OS. I'm glad it got added, even if I'm kind of bummed that my Windows OS doesn't come with Spider Solitaire anymore.

One thing that's helpful to think about when considering software is that nobody *wants* to make clunky, unusable software. People want their software to run well, with few problems, and they want users to like it so that they don't call corporate and kick up a fuss.

When you see these kinds of changes to the user experience, it often reflects something that *you* may not want, but that is desirable to a *LOT* of other people. The primary example I can think of here is trackpad scrolling direction; at some point it became common for trackpads to scroll in the opposite direction that they used to; now the default direction is the one that feels wrong to me, because I grew up scrolling with a mouse, not a screen. People who grew up scrolling on a screen seem to feel that the new direction is a lot more intuitive, so it's the default. Thankfully, that's a setting that's easy to change, so it's a change that I make every time I come across it, but the change was made for a sensible reason, even if that reason was opaque to me at the time I stumbled across it and continues to irritate me to this day.

I don't know. I don't want to defend Windows all that much here because I fucking hate Microsoft and definitely prefer using Linux when I'm not at work or using programs that I don't have on Linux. But the thing is that you'll see changes with Linux releases as well.

I wouldn't mind finding a tool that made my desktop look 100% like Windows 95, that would be fun. But we'd probably all be really frustrated if there hadn't been any interface improvements changes since MS-DOS (and people have DEFINITELY been complaining about UX changes at least since then).

Like, I talk about this in terms of backward compatibility sometimes. A lot of people are frustrated that their old computers can't run new software well, and that new computers use so many resources. But the flipside of that is that pretty much nobody wants mobile internet to work the way that it did in 2004 or computers to act the way they did in 1984.

Like. People don't think about it much these days but the "windows" of the Windows Operating system represented a massive change to how people interacted with their computers that plenty of people hated and found unintuitive.

(also take some time to think about the little changes that have happened that you've appreciated or maybe didn't even notice. I used to hate the squiggly line under misspelled words but now I see the utility. Predictive text seems like new technology to me but it's really handy for a lot of people. Right clicking is a UX innovation. Sometimes you have to take the centered task bar in exchange for the built-in timer deck; sometimes you have to lose color-coded files in exchange for a right click.)

[autolenaphilia]

The main reason to use Firefox and Linux and other free and open source software is that otherwise the big tech monopolies will fuck you as the customer over in search of profits. They will seek to control how you use their products and sell your data. When a company dominates the market, things can only get worse for ordinary people.

Like take Google Chrome for example, which together with its chromium reskins dominate the web browser market. Google makes a lot of money from ads, and consequently the company hates adblockers. They already are planning to move to manifest V3, which will nerf adblockers significantly. The manifest V3 compatible chrome version of Ublock Orgin is a "Lite" version for a reason. Ublock's Github page has an entire page explaining why the addon works best in Firefox.

And Google as we speak are trying to block adblockers from working on Youtube, If you want to continue blocking Youtube ads, and since Youtube ads make the site unuseable you ought to want that, it makes the most sense to not use a browser controlled by Google.

And there is no reason to think things won't get worse. There is for example nothing stopping Google from kicking adblockers off their add-on stores completely. They do regard it as basically piracy if the youtube pop-ups tell us anything, so updating the Chrome extensions terms of service to ban adblocking is a natural step. And so many people seem to think Chrome is the only browser that exists, so they are not going to switch to alternatives, or if they do, they will switch to another chrominum-based browser.

And again, they are fucking chromium itself for adblockers with Manifest V3, so only Firefox remains as a viable alternative. It's the only alternative to letting Google control the internet.

And Microsoft is the same thing. I posted before about their plans to move Windows increasingly into the cloud. This already exists for corporate customers, as Windows 365. And a version for ordinary users is probably not far off. It might not be the only version of Windows for awhile, the lack of solid internet access for a good part of the Earth's population will prevent it. But you'll probably see cheap very low-spec chromebookesque laptops running Windows for sale soon, that gets around Windows 11's obscene system requirements by their Windows being a cloud-based version.

And more and more of Windows will require Internet access or validation for DRM reasons if nothing else. Subscription fees instead of a one-time license are also likely. It will just be Windows moving in the direction Microsoft Office has already gone.

There is nothing preventing this, because again on the desktop/laptop market Windows is effectively a monopoly, or a duopoly with Apple. So there is no competition preventing Microsoft from exercising control over Windows users in the vein of Apple.

For example, Microsoft making Windows a walled garden by only permitting programs to be installed from the Microsoft Store probably isn't far off. This already exists for Win10 and 11, it's called S-mode. There seem to be more and more laptops being sold with Windows S-mode as the default.

Now it's not the only option, and you can turn it off with some tinkering, but there is really nothing stopping Microsoft from making it the only way of using Windows. And customers will probably accept it, because again the main competition is Apple where the walled garden has been the default for decades.

Customers have already accepted all sorts of bad things from Microsoft, because again Windows is a near-monopoly, and Apple and Google are even worse. That’s why there has been no major negative reaction to how Windows has increasingly spies on its users.

Another thing is how the system requirements for Windows seem to grow almost exponentially with each edition, making still perfectly useable computers unable to run the new edition. And Windows 11 is the worst yet. Like it's hard to get the numbers of how many computers running Win10 can't upgrade to Win11, but it's probably the majority of them, at least 55% or maybe even 75%. This has the effect of Windows users abandoning still perfectly useable hardware and buying new computers, creating more e-waste.

For Windows users, the alternative Windows gives them is to buy a new computer or get another operating system, and inertia pushes them towards buying another computer to keep using Windows. This is good for Windows and the hardware manufacturers selling computers with Windows 11 pre-installed, they get to profit off people buying Windows 11 keys and new computers, while the end-users have to pay, as does the environment. It’s planned obsolescence.

And it doesn’t have to be like that. Linux distros prove that you can have a modern operating system that has far lower hardware requirements. Even the most resource taxing Linux distros, like for example Ubuntu running the Gnome desktop, have far more modest system requirements than modern Windows. And you can always install lightweight Linux Distros that often have very low system requirements. One I have used is Antix. The ballooning Windows system requirements comes across as pure bloat on Microsoft’s part.

Now neither Linux or Firefox are perfect. Free and open source software don’t have a lot of the polish that comes with the proprietary products of major corporations. And being in competition with technology monopolies does have its drawbacks. The lacking website compatibility with Firefox and game compatibility with Linux are two obvious examples.

Yet Firefox and Linux have the capacity to grow, to become better. Being open source helps. Even if Firefox falls, developers can create a fork of it. If a Linux distro is not to your taste, there is usually another one. Whereas Windows and Chrome will only get worse as they will continue to abuse their monopolistic powers over the tech market.

[linkhundr]

So NFTgate has now hit tumblr - I made a thread about it on my twitter, but I'll talk a bit more about it here as well in slightly more detail. It'll be a long one, sorry! Using my degree for something here. This is not intended to sway you in one way or the other - merely to inform so you can make your own decision and so that you aware of this because it will happen again, with many other artists you know.

Let's start at the basics: NFT stands for 'non fungible token', which you should read as 'passcode you can't replicate'. These codes are stored in blocks in what is essentially a huge ledger of records, all chained together - a blockchain. Blockchain is encoded in such a way that you can't edit one block without editing the whole chain, meaning that when the data is validated it comes back 'negative' if it has been tampered with. This makes it a really, really safe method of storing data, and managing access to said data. For example, verifying that a bank account belongs to the person that says that is their bank account.

For most people, the association with NFT's is bitcoin and Bored Ape, and that's honestly fair. The way that used to work - and why it was such a scam - is that you essentially purchased a receipt that said you owned digital space - not the digital space itself. That receipt was the NFT. So, in reality, you did not own any goods, that receipt had no legal grounds, and its value was completely made up and not based on anything. On top of that, these NFTs were purchased almost exclusively with cryptocurrency which at the time used a verifiation method called proof of work, which is terrible for the environment because it requires insane amounts of electricity and computing power to verify. The carbon footprint for NFTs and coins at this time was absolutely insane.

In short, Bored Apes were just a huge tech fad with the intention to make a huge profit regardless of the cost, which resulted in the large market crash late last year. NFTs in this form are without value.

However, NFTs are just tech by itself more than they are some company that uses them. NFTs do have real-life, useful applications, particularly in data storage and verification. Research is being done to see if we can use blockchain to safely store patient data, or use it for bank wire transfers of extremely large amounts. That's cool stuff!

So what exactly is Käärijä doing? Kä is not selling NFTs in the traditional way you might have become familiar with. In this use-case, the NFT is in essence a software key that gives you access to a digital space. For the raffle, the NFT was basically your ticket number. This is a very secure way of doing so, assuring individuality, but also that no one can replicate that code and win through a false method. You are paying for a legimate product - the NFT is your access to that product.

What about the environmental impact in this case? We've thankfully made leaps and bounds in advancing the tech to reduce the carbon footprint as well as general mitigations to avoid expanding it over time. One big thing is shifting from proof of work verification to proof of space or proof of stake verifications, both of which require much less power in order to work. It seems that Kollekt is partnered with Polygon, a company that offers blockchain technology with the intention to become climate positive as soon as possible. Numbers on their site are very promising, they appear to be using proof of stake verification, and all-around appear more interested in the tech than the profits it could offer.

But most importantly: Kollekt does not allow for purchases made with cryptocurrency, and that is the real pisser from an environmental perspective. Cryptocurrency purchases require the most active verification across systems in order to go through - this is what bitcoin mining is, essentially. The fact that this website does not use it means good things in terms of carbon footprint.

But why not use something like Patreon? I can't tell you. My guess is that Patreon is a monthly recurring service and they wanted something one-time. Kollekt is based in Helsinki, and word is that Mikke (who is running this) is friends with folks on the team. These are all contributing factors, I would assume, but that's entirely an assumption and you can't take for fact.

Is this a good thing/bad thing? That I also can't tell you - you have to decide that for yourself. It's not a scam, it's not crypto, just a service that sits on the blockchain. But it does have higher carbon output than a lot of other services do, and its exact nature is not publicly disclosed. This isn't intended to sway you to say one or the other, but merely to give you the proper understanding of what NFTs are as a whole and what they are in this particular case so you can make that decision for yourself.