#big data centers

[blightedaether]

#i always pose her looking so sly but shes a big loser. i love her so much lmfao #liszt #ffxiv #ffxiv screenshots #crystal data center #viera

[crowcryptid]

do u think people would be less stupid about ai if it was called something else

Like if they knew it wasn’t “smart” and is instead plagiarizing would they stop worshiping it so much

Then again the people who are into it are nft cryptobros and very real business™️ people with real jobs that definitely aren’t fake (cough) who just want to fire anyone to save .1% of the company budget

so they’d probably fall for it anyway

It just seems like people are getting the wrong idea :p

#that being said yes ai is currently destroying the internet by spamming the lowest quality garbage imaginable #but it’s not intelligent. just an algorithm #the predictive text on your phone #the fear of losing your job is real I can understand that #what I’m talking about is the people who are convinced it’s like. self aware? lol #these people have convinced themselves this is The Big Thing and right now in its current state. it’s not #if you need endless braindead slop then yeah it’s fine #but it’s just a toy right now #unfortunately people are losing their job to a toy #but thats a whole topic right there that i am not going to pretend I can get into #the end goal is dirt cheap work that passes the 1 second sniff test before someone scrolls past #whether the work is made by someone being paid a few dollars a day in a poor country or a data center doesn’t really matter to them #whichever option is cheaper is the one they’ll pick #world is a fuck etc etc we all know this

[tecnologiaylogistica]

#conocimiento #empresas #big data hadoop administration in marathahalli hadoop training centers in bangalore #big data tools #big data technology #big data security market #Youtube

[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.

#chrissy speaks #long post #-gestures broadly-

[tastycitrus]

guess whose SSD decided to stop living yesterday

#personal #honestly... #it's on me for not doing anything #the signs were kinda there for a while but they didn't register as a Big Problem until it happened #fucking sucks though because i lost a whole bunch of stuff #i'm planning to send my ssd to a data recovery center to hopefully save whatever's on there #but yeah. that happened.

[jcmarchi]

How Big Data Influences Log Monitoring’s Evolution | Technology - Technology Org

New Post has been published on https://thedigitalinsider.com/how-big-data-influences-log-monitorings-evolution-technology-technology-org/

How Big Data Influences Log Monitoring’s Evolution | Technology - Technology Org

From almost the start of corporate digitization, log monitoring has played an integral role in providing invaluable insights into the health, performance, and security of IT environments. However, the ever-evolving landscape of digital infrastructure has rendered traditional log monitoring approaches largely inadequate as logs have become reliant on a network of interdependent applications, drastically increasing the volume and velocity of data.

Data center – illustrative photo. Image credit: kewl via Pixabay, Pixabay licence

Fortunately, big data has entered the equation. The logs that serve as the backbone of system diagnostics can now be monitored in real-time. This ensures that any issues are immediately identified, allowing for quick action and rectification. Big data has also introduced numerous other benefits. From managing threats to forecasting trends and customer behavior, the evolution of log monitoring ensures that organizations are empowered in new and exciting ways.

From Manual Challenges to Big Data Solutions

A recent Markets and Markets study revealed that the top use cases for log management are security and IT monitoring. However, business intelligence (BI) analytics and business operations are also priorities. Logs contain a veritable goldmine of data. When they are correctly stored, managed, and analyzed, they can facilitate actionable insights that enhance an organization on multiple levels.

In the past, these logs had to be reviewed manually. This resulted in the adoption of a reactive rather than proactive stance. Logs were monitored by IT staff or data analysts for anomalies or errors, and when identified, action was then taken. As this was well after an incident or event, the knock-on effect on a business had the potential to cost millions. Not just in monetary loss but reputational damage, too. Manual log monitoring also posed scalability limitations as it relied on the availability of human resources. The addition of monitoring staff increased overheads and reduced profit potential exponentially. As data sets grew, legacy log monitoring became even more challenging, leading to performance bottlenecks and data retention challenges. 

With the introduction of log monitoring software in the early 2000s, these challenges were mitigated somewhat, but there was still the issue of limited insights. Traditional log monitoring software may have automated the human element to a large degree, but it only provided basic metrics and alerts. It lacked the sophistication to derive meaningful insights from the vast volumes of log data generated by IT environments, greatly reducing the usefulness and impact that data could have on a business.

With the emergence of big data technologies, handling massive quantities of data was no longer a challenge, and organizations could switch to a proactive rather than reactive response. Big data’s real-time analytics capabilities allow organizations to analyze log data in real-time, facilitating proactive detection and allowing for immediate response to anomalies and security threats. Additionally, big data platforms integrate machine learning and AI algorithms for log analysis. This ensures that organizations can identify hidden patterns that make predicting and preventing future incidents easier.

Big data has also enhanced security and compliance as log monitoring enables organizations to detect and mitigate security threats more effectively. By analyzing log data for suspicious activities, unauthorized access attempts, and compliance violations, a breach is quickly identified. In the event of a security incident, the log data creates a valuable forensic trail. This trail can aid in root cause analysis, incident response, and compliance auditing, reducing the likelihood of the same issue reoccurring. In turn, this strengthens organizational resilience and regulatory compliance, which has become increasingly important with the implementation of privacy and security laws on a global basis. Meta has already been fined $1.3 billion for violating GDPR laws pertaining to data transfers, while Amazon was fined $887 million for a similar infringement. 

While security and compliance are key factors in log monitoring, the fact that BI analytics and business operations are priorities for organizations highlights the potential applications of big data in this context. As big data can analyze large amounts of raw data and identify patterns, trends, and correlations, it can inform data-driven decisions to enhance profitability and long-term financial growth. This is especially useful if the log monitoring includes customer insights or information. It’s also useful for forecasting customer behavior and doing everything from optimizing inventory management to creating marketing strategies.

Summary

In the era of big data, log monitoring has evolved from a reactive, hindsight-driven practice into a proactive, insight-driven discipline. By leveraging the scalability, real-time analytics, and advanced capabilities of big data, organizations can gain unprecedented visibility into their IT environments, enhance their security and ensure regulatory compliance, and improve their operations to increase profits. As businesses of all sizes embrace digital transformation, the evolution of log monitoring will continue to play a major role in their ability to make data-driven decisions and stay competitive in their industry.

#ai #alerts #Algorithms #Amazon #Analysis #Analytics #applications #Behavior #bi #Big Data #billion #breach #Business #Business Intelligence #challenge #compliance #cybersecurity #data #Data Center #data processing #data-driven #data-driven decisions #detection #diagnostics #Digital Transformation #digitization #Evolution #financial #Future #gdpr

[batwanglume]

SQLite Sistem Manajemen Basis Data Relasional Yang Ringan

SQLite adalah sistem manajemen basis data (DBMS) tertanam yang dikenal karena keberatannya yang rendah, efisiensinya, dan kemampuannya untuk beroperasi secara lintas platform. Khususnya cocok untuk aplikasi dengan sumber daya terbatas seperti aplikasi seluler dan proyek kecil. SQLite membanggakan konfigurasinya yang sederhana, integrasi yang mudah, dan dukungannya terhadap standar SQL. Kelebihan…

View On WordPress

#Aplikasi #Big Data #Data #Data Center #Software #Struktur Data #Teknologi

[on-the-wings-of-tomorrow]

When there’s innovation every few days, how do we know if a new technology is likely to serve humanity well?

We’ve thought about that a lot at CHT over the years, and we’ve come up with some principles that you can apply to many different products and situations, even novel ones. This talk covers 8 key questions that put these principles into practice:

1) Does the product help humanity in this pivotal moment?

2) Where will prevailing systemic forces naturally take the product?

3) Does the product have a clear definition of thriving, and does it help users thrive?

4) What values does the product claim to center, what does it actually optimize for?

5) How do economic forces affect products, and how can product teams reduce harmful effects?

6) Does the product respect or harmfully exploit human nature?

7) Does the product enable shared understanding, information processing, and collaboration?

8) Who is being left behind, and how can we do better?

Subscribe to our podcast Your Undivided Attention: humanetech.com/podcast

Take our free course on ethical technology: humanetech.com/course

#Center for Humane Technology #ethics #ethics in tech #social media #ai #big data #Youtube

[snickerdoodlles]

*sees take about fic x AI*

*grits my teeth and moves on*

#D E E P B R E A T H #you cannot compare AI fic to AI art. they use different tech. fullstop. #additionally AI saves art in a way it does NOT save written work. #additionally additionally AO3 WAS NOT USED AS TRAINING DATA #fic has little to zero intersection with AI content #at most people might use it when writing fic. this can easily be ignored. #thats it #its not involved in AI development and there is no impact against others when its used. stfu about being 'cheated' as a reader #when the available option is just hitting a back button and muting the user #i just #*blows out breath* #guess i didnt just move on but its such a genuinely self-centered viewpoint???? #there are concerns for AI generated writing but every fucking thing fandom claims #is generally irrelevant or just not that big a deal #and usually involves extensive misinformation #the biggest lie being ao3 used for training data #*pinches nose bridge* not even slightly #honestly i think that one gets to me so much because the logic behind the conclusion was disgustingly flawed #and resulted in a bunch of volunteers getting slammed with emails over an issue that wasnt an issue in the first place #nor something they could do about even if it were #ugh #ACTUALLY SHUTTING UP NOW #edit: i see part of the problem 🤦‍♂️ #*when its used to write fic #yeesh

[sol-flo]

me and my computer guy friends entranced at the jacquard loom punch cards / data center installation at the bienal

#like there were videos being projected through the cards and the angle made the shadows look like data centers #it was warp trance by senga nengudi #bienal was nice but its so big and theres not much of a common theme throughout so it's a bit tiring #eh its just a bus away and lasts until december we can just go again later on

[jacelynsia]

Top 10 AI Tools for Future-Ready Developers

Stay ahead of the game with these 10 must-have AI tools for every software developer in 2023 & beyond. Keep up with the tech evolution. Embracing these AI tools in 2023 and beyond can empower developers to create innovative solutions and drive the future of software development.

#artificial intelligence big data cloud data centers drones #AI tools #development #software development company #software design #power bi #natural language query

[blockchainbeleaf]

Beleaf Technologies - Blockchain Development Company & Service Provider

Beleaf Technologies is an India-based enterprise blockchain technology solutions and services provider. Our team of experts specialises in developing blockchain technology that is tailored to your company's specific requirements. We understand that each organisation has unique needs, so we work closely with them to understand their requirements and develop custom-built blockchain solutions that can help improve their operations and overall performance. Our blockchain technology is intended to provide businesses with a secure, decentralised, and efficient way to manage their data and transactions. You can reap the benefits of blockchain technology without the hassle of managing and maintaining the infrastructure yourself with our solutions. You can rely on us to provide the best blockchain technology development for your company's needs.

#Blockchain development #blockchain app development #blockchain consulting services #blockchain technology company #custom blockchain development #enterprise blockchain technology development company #enterprise blockchain technology #enterprise blockchain development company #enterprise blockchain company #blockchain as services #blockchain app #Web Design and Development company #Enterprise Mobile App development company #Offshore Development Center #Big Data Solutions #AI Chatbot Development #Digital Marketing Agency #AR VR Development #blockchain app development company #blockchain software development company #private blockchain development company #best blockchain development company #blockchain app development services #blockchain software development services #blockchain development solutions #hire blockchain developer

[reasonsforhope]

"Colorado is poised to be the first state to to expand automatic voter registration to Native American reservations, thanks to a new registration system.

Tribal members have the right to vote in elections, from the local to the national level, just like other U.S. citizens. But actually casting a ballot has been an uphill battle for many tribal residents, including those here in Colorado. Even after obtaining official U.S. citizenship a century ago, Native Americans’ ability to vote has been consistently ignored or actively undermined. In recent decades, unequal access to in-person voting, early voting and election funding on tribal lands has been a particular issue...

Working with Colorado tribes, state lawmakers passed a set of election reforms earlier this year to expand voting access for Native Americans. Those reforms include the nation’s first automatic voter registration program of its kind for Native Americans. The program will cover both of the federally-recognized Native American reservations in the state—the Southern Ute Indian Tribe and the Ute Mountain Ute Tribe, and will allow the tribes’ governments to submit lists of members to be registered through the Secretary of State Jena Griswold’s office.

Griswold said the new registration system could make a big difference for Colorado's tribal communities.

"Seeing registration rates and turnout rates being much, much lower on tribal lands is a big problem that we want to solve,” Griswold said. “I personally believe automatic voter registration is one of the best ways to register voters in the state of Colorado, and all of our data shows how highly effective it is.”

Colorado is one of more than two dozen states that have automatic voter registration systems, but Colorado is the only state so far to extend its system to cover Native American reservations. When Colorado rolled out its system for the first time in 2020, about 250,000 people were added to the state’s voter rolls within the first year.

Now, [Secretary of State] Griswold hopes the new registration program will have a similar effect on tribal lands in the state. She wants to see the program in place in time for the 2024 election. For now, tribal leadership is reviewing the plan and providing feedback on it.

“It will not take us much time to register people once we start receiving data,” Griswold told KUNC. “But I think there's a couple of logistics to still work through.”

Measures to keep tribal members' information confidential were added recently at the request of the Southern Ute tribe, and lawmakers have also increased the number of on-reservation vote centers available for early voting and on Election Day.

This year’s election reforms also build on a slew of changes in recent years. For example, in 2019 Colorado lawmakers guaranteed in-person voting centers on tribal lands and loosened address requirements for voters."

-via GoodGoodGood, December 15, 2023

#colorado #native american #indigenous #first nations #indigenous rights #native american rights #united states #us politics #automatic voter registration #voter registration #election 2024 #2024 election #voting access #democrats #voting matters #voting #voting rights #ute #good news #hope

[bimicujoc]

Big data et machine learning les concepts et les outils de la data science pdf

br> big data et machine learning : manuel du data scientist

<br> python pour data science pdf

<br> exemple projet data science pdf

<br>

<br>

<br>

<br> </p><p>&nbsp;</p><p>&nbsp;</p><p>319 Pages·2017·4.94 MB·5,782 Downloads·French·New! Les librairies spécialisées dans la manipulation de données scientifiques, les modules et autres outils

3. Le phénomène Big Data 4. Quel Machine Learning pour les Big Data? 5. Les Big Data, le Machine learning et la loi 6. Enseignement des sciences des données

Retrouvez l'ebook Big Data et machine learning - Manuel du data scientist de Pirmin Lemberger - Éditeur Dunod - Format PDF - Librairie Decitre votre

Les concepts et les outils de la data science Big data et machine learning », est l'une de ces heureuses exceptions…'Tangente. '…Le Big Data

Et chaque fois que je veux démontrer des concepts de data science de manière claire et limpide, je résultat attendu) : learning 3 java 3 python 3 big 3

Retrouvez l'ebook Big Data et Machine Learning - 2e éd. - Manuel du data scientist de Pirmin Lemberger - Éditeur Dunod - Format PDF - Librairie DecitreBig Data et machine learning. Manuel du data scientist. Pirmin Lemberger, Marc Batty 2.6.4 Découvrir de nouveaux outils d'analyse de données .

Big mata et machine learning · Les concepts et les outils de la data science · Pirmin Lemberger · Marc Batty · Médéric Morel · Jean-Luc Raffaëlli · Dunod · Avant-

LEARNING. Les concepts et les outils de la data science. Pirmin Lemberger de la préparation des jeux de données, les bases du Machine Learning ainsi que

</p><br>, , , , .

#<p>&nbsp;</p><p>&nbsp;</p><center>BIG DATA ET MACHINE LEARNING LES CONCEPTS ET LES OUTILS DE LA DATA SCIENCE PDF >> <strong><u><a href="htt #<br> big data et machine learning pdf #<br> python data science handbook français pdfmathématiques pour data scientist pdf #<br> data science : fondamentaux et études de cas machine learning avec python et r #<

[makajalisuwo]

Analyse des donnees marketing pdf

#http://vk.cc/c7jKeU #nofollow #<p>&nbsp;</p><p>&nbsp;</p><center>ANALYSE DES DONNEES MARKETING PDF >> <strong><u><a href= rel= target="_bla #<br> analyse de données marketing #<br> analyse de données openclassroom #<br> #<br> </p><p>&nbsp;</p><p>&nbsp;</p><p>Analyse des données Marketing : pré-tests publicitaire par la confrontation des slogans en utilisant #Statistiques appliquées au marketing avec Excel et R Application de l'IA : le marketing automation . B. Structurer et analyser ses données #Big Data #Data Marketing #Data driven #Données massives #Données personnelles #entreprises multicanales ont #grâce à l'analyse des données digitales #lution des données et vous donner les clefs d'un marketing digital la collecte #le traitement et l'analyse simultanée et en temps réel. #C. Synthétiser des données marketing grâce aux tableaux croisés dynamiques . . . . . 45 D. Analyse de données marketing et statistiques. #Retrouvez l'ebook Analyse des données en marketing de Jean-Marie Bouroche - Éditeur FeniXX réédition numérique (Elsevier Masson) - Format P #Les marketeurs B2B disposent de données leur permettant d'analyser le comportement de leur groupe cible. Tout l'art consiste à recueillir t #</p><br>https://makajalisuwo.tumblr.com/post/693420256235061248/yardworks-coupe-bordure-manuel #https://makajalisuwo.tumblr.com/post/693419976769617920/elite-real-e-motion-manual #https://makajalisuwo.tumblr.com/post/693420256235061248/yardworks-coupe-bordure-manuel #https://fihemocan.tumblr.com/post/693421850156548096/brother-es-2000-computer-mode-demploi.

[zvaigzdelasas]

You can’t buy the Seagull in the US. But I bet you wish you could.

A small hatchback around the size of a Mini Cooper, the Seagull is a fast-charging electric car and claims a range of up to 250 miles [...] BYD, its Chinese manufacturer, claims it can go from 30 percent to 80 percent charged in a half-hour using a DC plug. It’s hardly a luxury car but it’s well-equipped, with a power driver’s seat and cruise control. “If I were looking for an inexpensive commuter car … this would be perfect,” veteran car journalist John McElroy said after taking a drive.

The best part? Its base model costs about $10,700 in China.

That’s about a third of the cost of the cheapest EV you can buy in the US. In South America, it’s a little pricier, but still fairly affordable, at under $24,000 for a top-trim version. Even in Europe, you can get an entry-level BYD for under €30,000. These are absolutely screaming deals — exactly the kind of products that could turbocharge our transition away from gas and toward electric vehicles.[...]

The problem for Americans? The Biden administration is hell-bent on preventing you from buying BYD’s product, and if Donald Trump returns to office, he is likely to fight it as well.

That’s because the BYD cars are made in China, and both Biden and Trump are committed to an ultranationalist trade policy meant to keep BYD’s products out. [...] Shipments to Europe have increased astronomically; Chinese companies sold 0.5 percent of EVs in Europe in 2019 but they’re already over 9 percent as of last year. Companies like BYD make cheap, reasonably good-quality cars people are eager to buy.

In 2018, Trump imposed, and Biden has since continued, a special 25 percent tax on Chinese-made autos, on top of the ordinary 2.5 percent tax on foreign-made cars.

That has so far prevented BYD and its Chinese peers from trying to enter the US market. US customer tastes are different enough that Chinese manufacturers would probably prefer to make cars tailored to them — but US policy has been so hostile toward cheap Chinese EVs that so far, the companies haven’t wanted to bother.

So, the result is that we’re left out of the bounty of cheap EV options created by BYD and others. “If you’re a consumer right now, the best place to be right now is China, because you have the best choice of EVs,” Ilaria Mazzocco, senior fellow at the Center for Strategic and International Studies and an expert on Chinese EVs, says.[...]

Still, China’s price advantage is big enough that even the extreme Trump-Biden import tax might not be enough to deter companies like BYD from entering the US market. Even with the tariffs, Chinese cars might be cheaper than their rivals. “​​Subsidies most likely won’t be enough; Mr. Biden will need to impose [more] trade restrictions,” climate journalist Robinson Meyer predicted recently. The Biden administration is already making noise about imposing even more draconian taxes or trade restrictions against these vehicles. Commerce Secretary Gina Raimondo has described Chinese-made cars as a national security threat, and recently announced an investigation into the vehicles’ data collection abilities and the possibility they could send movement data to Beijing.

On the one hand, Biden is offering Americans up to $7,500 per vehicle to buy EVs (provided they meet certain made-in-North America rules). On the other hand, he’s imposing massive taxes to keep Americans from buying EVs. It’s a bizarre policy that makes no sense from a climate perspective.[...]

[The Biden Administration] has proven shockingly willing to sabotage its own climate policy if it gets to stick it to the Chinese in the process.

“There’s almost an across-the-board apprehension about Chinese EVs, even though they would make an important contribution to [lower] CO2 emissions,” Gary Clyde Hufbauer, a veteran trade expert at the Peterson Institute for International Economics, says.[...]

Realistically, Helveston argues, BYD might not sell something like the Seagull in the US because it’s smaller than most cars Americans buy. They’d probably build plants in the US instead, or its free-trade zone partners Canada and Mexico, to build vehicles tailored for Americans. “If you’re going to really enter a market, you have to make it locally,” Helveston explains. “US automakers like GM sell and make millions of cars in China to sell in China.” BYD would do the same. Indeed, it’s already reportedly scouting sites for factories in Mexico.

If they ever were to set up shop in North America, BYD and other Chinese car companies would still have a major price advantage versus American EVs. They have years more experience and a much more successful track record of building batteries and EVs at low cost.

“Part of why they’re so successful is they’ve been thinking outside the box on cost reduction for a long time,” Mazzocco says. They took the “opposite of the Tesla approach”: starting not with luxury vehicles but ultra-cheap cars fit for taxi fleets and not much else, and constantly improving their early inexpensive prototypes. The result is that Chinese firms have gotten extremely good at making inexpensive EVs, at a time when Ford, by contrast, lost $28,000 for every EV it sold in 2023.[...]

“If you have more affordable EVs in the United States, no matter where you come from,” Gopal says, “that’s better for the climate.”

Still, the Biden administration reportedly wants to restrict Chinese car companies’ access to the US even if they do set up shop in North America. Bloomberg reported earlier this month that the Biden administration is formulating rules that would limit US sales of Chinese-made parts, even if they’re in vehicles ultimately assembled in the US or Mexico.[...]

But the Biden administration’s objections to Chinese EVs are also ideological. The Biden administration represents the victory of a protectionist, trade-skeptical wing of the Democratic party that was relegated to the sidelines during the Clinton and Obama years.[...]

[O]ver 90 percent of American households have a car, and surging car prices were a huge contributor to the 2021–2023 rise in inflation.

Barriers to importing cheap cars make inflation worse and reduce the real incomes of the middle class.

Not only are the administration and other left-leaning institutions opposed to Chinese EVs, but hardline conservatives at places like the Heritage Foundation are calling for outright bans on Chinese EVs as well. Their rationale is security, another theme the Biden administration evokes often. On Thursday, the Commerce Department announced it was beginning a process to “investigate the national security risks of … PRC-manufactured technology in [internet-connected] vehicles.”

6 Mar 24