Technology
2 Modems In One Home: How It Works (Explained)

Setting up two separate lines of communication for your computer can seem like a daunting task at times! There are several ways to do this, but one of the most popular is using a router as both your modem and wifi access point.
A router acts as the brain that connects all of your devices together- you connect peripherals (laptops, phones, gaming consoles, etc.) to it via USB or Ethernet cables, and then it routes those signals either directly to another device or through its internet service provider (ISP).
A lot of people use routers this way because they’re built with powerful software that makes connecting easy. Some features even allow for multitasking by letting you use the browser while still being connected online!
There are many brands of routers, so pick one that fits your needs and budget well. However, make sure it has enough bandwidth for all of your uses and fun! We could not finish this article listening to the sounds of some poor connections.
Editorial note: For more information about why having multiple sources of Internet connectivity is important, check out our article here.
This article will go into detail on how to install and use a dual-band modem/router in conjunction with WiFi. It will also talk about the benefits of using a dual-mode connection, and where things may get tricky.
Table of Contents
What is a router?
A device that connects to your internet provider’s network is called a router. Most people call them that, but what most don’t know is that there are different types of routers!
There are two main types of routers — those for work and those for personal use. Work-level routers usually have more features than personal ones, but you will need a good quality one if you plan to connect multiple devices to yours at home.
Work-level routers typically cost around $100 – $150, while personal level ones can be much less expensive. It really depends on how many connections you want to make and what kind of speeds you desire.
How do they differ?
Like having two separate phones, one wireless connection can be tough at times. With dual-mode (or modem) technology, your phone doesn’t connect directly with other devices or computers via WiFi or Bluetooth, but rather uses a second device as a backhaul router.
This way, it has its own dedicated broadband connection that helps ensure fast internet for use and sharing.
You get all of the benefits of having a normal modem connected to a house wifi network, without the cost – and headaches – of adding another device you have to take care of.
Can You Have 2 Modems In One House?
Having more than one modem is possible, but only if you live in a very specific situation! This article will talk about all of the scenarios where this can be done, as well as what to consider before purchasing one or two modems.
It’s important to remember that even though it seems like a great idea, not everyone has the same internet connection speed. Some people are lucky enough to have a fast home wifi network, while others do not.
For those individuals who don’t have good wifi at home, there are sometimes services that offer fiber optic broadband so that they can connect via cable instead.
This is much faster than using wifi and cable TV bundles which usually limit how many online apps you can use because of bandwidth constraints. It is totally up to you whether or not this information changes your opinion on whether or not you need a second modem.
What are the advantages?
Setting up two separate lines of communication with different providers can be done several ways. Some people connect one modem directly to each provider, while others use a router as an intermediary. Both work fine!
In this article we will discuss what is called “split service” or “dual-band technology,” which allows you to have both Verizon and AT&T phone services through the same device. This is possible because most wireless carriers offer their own LTE (4G) network that does not require a data connection to function.
You get the best split service if you know how to choose your coverage wisely. Fortunately for you, we have gathered some helpful information here about choosing a new modem, a replacement modem, and additional tips.
What are the disadvantages?
The most significant disadvantage of having two separate broadband connections is being able to use them both at the same time, which can be very helpful when online shopping or streaming content.
Not only that, but you also have to remember which connection goes where! This becomes even more difficult if one connection has limited access due to it being connected to an area with poor signal strength.
It is also much harder to manage both connections all around the world depending on your needs and how busy each provider’s network is. For example, say you want to watch a movie and there is no clear Wi-Fi available, you will probably need to stop watching the film.
What should I choose?
Choosing between wireless broadband using a modem connected directly to your smartphone or computer, and having both ends connect via Wi-Fi is an excellent way to use internet.
With the first option you will need to find a compatible device that can be used as a modem and purchase this equipment separately. This can get expensive, especially if you are buying for a lot of people.
The second one costs less because you don’t have to buy separate pieces, but there is no guarantee that it will work properly outside of your home unless you invest in a good amount of WiFi technology.
Do I need both?
As mentioned earlier, having two separate modems is totally fine if you still want that high speed internet experience! Many people choose this option so they can have different levels of quality service depending on what area of the world they are in.
If you’re living somewhere with great cell phone reception but not very good wifi coverage, then using one modem connected to your smartphone and another modem plugged into your computer or gaming device is the way to go.
You get the best of both worlds by getting lower latency through the mobile connection, and fast broadband via the wired connection. This works beautifully for gamers who need solid performance while online as well as individuals who do most of their work and communication online.
What are the differences between wired and wireless modems?

Photo by Vladimir Srajber on Pexels
When choosing a modem for your computer, make sure it is able to connect using either a cable or wire-based connection (wired) with your computer or phone.
A wired connection uses cables that connect directly from one device to another. For example, you could use an Ethernet cord to connect your computer to your internet provider’s modem.
Wireless technology works similarly to how wifi functions today. A radio transmitter sends out small pulses that other devices can pick up and interpret as data.
What are the differences between routers and gateway devices?
A router is typically considered as being more powerful than a standard, non-smart device such as a modem or cable TV adapter. Routers have built-in networking features that allow you to connect multiple computers and other devices to share resources like Wi-Fi networks, broadband connections, and phone lines.
A gateway device does not offer advanced network functions, but it will make connecting to different services much easier. For example, most people do not need a complex software program to access Netflix, so most people just use a free browser add-on to do this. A gateway device with a good quality microphone can be used for voice calling too!
This article will talk about some of the best beginner level gateways available and how to use them. However, keep in mind that even though they are easy to use, these products are designed to work under hard conditions. They are meant to last through frequent usage, which means high data transfer speeds and strong signals are important.
Conclusion
Having two different internet providers in your home can seem confusing at times, but don’t worry! Here are all of the things you need to know about modem shopping for both personal and business use.
In this article, we covered everything from which frequencies each provider uses, to how much speed you get with each connection, to what types of modems are available. We also talked about why having multiple ISPs is a great way to find a deal online, and how to choose between them depending on your needs.
Now that you have the basics down, start looking around to see if there are any deals out there! And don’t forget to check our guide again for some helpful tips like choosing an account type that works for you, and always read through their terms and conditions before signing up.

A blog which focuses on business, Networth, Technology, Entrepreneurship, Self Improvement, Celebrities, Top Lists, Travelling, Health, and lifestyle. A source that provides you with each and every top piece of information about the world. We cover various different topics.
Technology
Open source LLMs hit Europe’s digital sovereignty roadmap

Large language models (LLMs) landed on Europe’s digital sovereignty agenda with a bang last week, as news emerged of a new program to develop a series of “truly” open source LLMs covering all European Union languages.
This includes the current 24 official EU languages, as well as languages for countries currently negotiating for entry to the EU market, such as Albania. Future-proofing is the name of the game.
OpenEuroLLM is a collaboration between some 20 organizations, co-led by Jan Hajič, a computational linguist from the Charles University in Prague, and Peter Sarlin, CEO and co-founder of Finnish AI lab Silo AI, which AMD acquired last year for $665 million.
The project fits a broader narrative that has seen Europe push digital sovereignty as a priority, enabling it to bring mission-critical infrastructure and tools closer to home. Most of the cloud giants are investing in local infrastructure to ensure EU data stays local, while AI darling OpenAI recently unveiled a new offering that allows customers to process and store data in Europe.
Elsewhere, the EU recently signed an $11 billion deal to create a sovereign satellite constellation to rival Elon Musk’s Starlink.
So OpenEuroLLM is certainly on-brand.
However, the stated budget just for building the models themselves is €37.4 million, with roughly €20 million coming from the EU’s Digital Europe Programme — a drop in the ocean compared to what the giants of the corporate AI world are investing. The actual budget is more when you factor in funding allocated for tangential and related work, and arguably the biggest expense is compute. The OpenEuroLLM project’s partners include EuroHPC supercomputer centers in Spain, Italy, Finland, and the Netherlands — and the broader EuroHPC project has a budget of around €7 billion.
But the sheer number of disparate participating parties, spanning academia, research, and corporations, have led many to question whether its goals are achievable. Anastasia Stasenko, co-founder of LLM company Pleias, questioned whether a “sprawling consortia of 20+ organizations” could have the same measured focus of a homegrown private AI firm.
“Europe’s recent successes in AI shine through small focused teams like Mistral AI and LightOn — companies that truly own what they’re building,” Stasenko wrote. “They carry immediate responsibility for their choices, whether in finances, market positioning, or reputation.”
Table of Contents
Up to scratch
The OpenEuroLLM project is either starting from scratch or it has a head start — depending on how you look at it.
Since 2022, Hajič has also been coordinating the High Performance Language Technologies (HPLT) project, which has set out to develop free and reusable datasets, models, and workflows using high-performance computing (HPC). That project is scheduled to end in late 2025, but it can be viewed as a sort of “predecessor” to OpenEuroLLM, according to Hajič, given that most of the partners on HPLT (aside from the U.K. partners) are participating here, too.
“This [OpenEuroLLM] is really just a broader participation, but more focused on generative LLMs,” Hajič said. “So it’s not starting from zero in terms of data, expertise, tools, and compute experience. We have assembled people who know what they’re doing — we should be able to get up to speed quickly.”
Hajič said that he expects the first version(s) to be released by mid-2026, with the final iteration(s) arriving by the project’s conclusion in 2028. But those goals might still seem lofty when you consider that there isn’t much to poke at yet beyond a bare-bones GitHub profile.
“In that respect, we are starting from scratch — the project started on Saturday [February 1],” Hajič said. “But we have been preparing the project for a year [the tender process opened in February 2024].”
From academia and research, organizations spanning Czechia, the Netherlands, Germany, Sweden, Finland, and Norway are part of the OpenEuroLLM cohort, in addition to the EuroHPC centers. From the corporate world, Finland’s AMD-owned AI lab Silo AI is on board, as are Aleph Alpha (Germany), Ellamind (Germany), Prompsit Language Engineering (Spain), and LightOn (France).
One notable omission from the list is that of French AI unicorn Mistral, which has positioned itself as an open source alternative to incumbents such as OpenAI. While nobody from Mistral responded to TechCrunch for comment, Hajič did confirm that he tried to initiate conversations with the startup, but to no avail.
“I tried to approach them, but it hasn’t resulted in a focused discussion about their participation,” Hajič said.
The project could still gather new participants as part of the EU program that’s providing funding, though it will be limited to EU organizations. This means that entities from the U.K. and Switzerland won’t be able to take part. This flies in contrast to the Horizon R&D program, which the U.K. rejoined in 2023 after a prolonged Brexit stalemate and which provided funding to HPLT.
Build up
The project’s top-line goal, as per its tagline, is to create: “A series of foundation models for transparent AI in Europe.” Additionally, these models should preserve the “linguistic and cultural diversity” of all EU languages — current and future.
What this translates to in terms of deliverables is still being ironed out, but it will likely mean a core multilingual LLM designed for general-purpose tasks where accuracy is paramount. And then also smaller “quantized” versions, perhaps for edge applications where efficiency and speed are more important.
“This is something we still have to make a detailed plan about,” Hajič said. “We want to have it as small but as high-quality as possible. We don’t want to release something which is half-baked, because from the European point-of-view this is high-stakes, with lots of money coming from the European Commission — public money.”
While the goal is to make the model as proficient as possible in all languages, attaining equality across the board could also be challenging.
“That is the goal, but how successful we can be with languages with scarce digital resources is the question,” Hajič said. “But that’s also why we want to have true benchmarks for these languages, and not to be swayed toward benchmarks which are perhaps not representative of the languages and the culture behind them.“
In terms of data, this is where a lot of the work from the HPLT project will prove fruitful, with version 2.0 of its dataset released four months ago. This dataset was trained 4.5 petabytes of web crawls and more than 20 billion documents, and Hajič said that they will add additional data from Common Crawl (an open repository of web-crawled data) to the mix.
The open source definition
In traditional software, the perennial struggle between open source and proprietary revolves around the “true” meaning of “open source.” This can be resolved by deferring to the formal “definition” as per the Open Source Initiative, the industry stewards of what are and aren’t legitimate open source licenses.
More recently, the OSI has formed a definition of “open source AI,” though not everyone is happy with the outcome. Open source AI proponents argue that not only models should be freely available, but also the datasets, pretrained models, weights — the full shebang. The OSI’s definition doesn’t make training data mandatory, because it says AI models are often trained on proprietary data or data with redistribution restrictions.
Suffice it to say, the OpenEuroLLM is facing these same quandaries, and despite its intentions to be “truly open,” it will probably have to make some compromises if it’s to fulfill its “quality” obligations.
“The goal is to have everything open. Now, of course, there are some limitations,” Hajič said. “We want to have models of the highest quality possible, and based on the European copyright directive we can use anything we can get our hands on. Some of it cannot be redistributed, but some of it can be stored for future inspection.”
What this means is that the OpenEuroLLM project might have to keep some of the training data under wraps, but be made available to auditors upon request — as required for high-risk AI systems under the terms of the EU AI Act.
“We hope that most of the data [will be open], especially the data coming from the Common Crawl,” Hajič said. “We would like to have it all completely open, but we will see. In any case, we will have to comply with AI regulations.”
Two for one
Another criticism that emerged in the aftermath of OpenEuroLLM’s formal unveiling was that a very similar project launched in Europe just a few short months previous. EuroLLM, which launched its first model in September and a follow-up in December, is co-funded by the EU alongside a consortium of nine partners. These include academic institutions such as the University of Edinburgh and corporations such as Unbabel, which last year won millions of GPU training hours on EU supercomputers.
EuroLLM shares similar goals to its near-namesake: “To build an open source European Large Language Model that supports 24 Official European Languages, and a few other strategically important languages.”
Andre Martins, head of research at Unbabel, took to social media to highlight these similarities, noting that OpenEuroLLM is appropriating a name that already exists. “I hope the different communities collaborate openly, share their expertise, and don’t decide to reinvent the wheel every time a new project gets funded,” Martins wrote.
Hajič called the situation “unfortunate,” adding that he hoped they might be able to cooperate, though he stressed that due to the source of its funding in the EU, OpenEuroLLM is restricted in terms of its collaborations with non-EU entities, including U.K. universities.
Funding gap
The arrival of China’s DeepSeek, and the cost-to-performance ratio it promises, has given some encouragement that AI initiatives might be able to do far more with much less than initially thought. However, over the past few weeks, many have questioned the true costs involved in building DeepSeek.
“With respect to DeepSeek, we actually know very little about what exactly went into building it,” Peter Sarlin, who is technical co-lead on the OpenEuroLLM project, told TechCrunch.
Regardless, Sarlin reckons OpenEuroLLM will have access to sufficient funding, as it’s mostly to cover people. Indeed, a large chunk of the costs of building AI systems is compute, and that should mostly be covered through its partnership with the EuroHPC centers.
“You could say that OpenEuroLLM actually has quite a significant budget,” Sarlin said. “EuroHPC has invested billions in AI and compute infrastructure, and have committed billions more into expanding that in the coming few years.”
It’s also worth noting that the OpenEuroLLM project isn’t building toward a consumer- or enterprise-grade product. It’s purely about the models, and this is why Sarlin reckons the budget it has should be ample.
“The intent here isn’t to build a chatbot or an AI assistant — that would be a product initiative requiring a lot of effort, and that’s what ChatGPT did so well,” Sarlin said. “What we’re contributing is an open source foundation model that functions as the AI infrastructure for companies in Europe to build upon. We know what it takes to build models, it’s not something you need billions for.”
Since 2017, Sarlin has spearheaded AI lab Silo AI, which launched — in partnership with others, including the HPLT project — the family of Poro and Viking open models. These already support a handful of European languages, but the company is now readying the next iteration “Europa” models, which will cover all European languages.
And this ties in with the whole “not starting from scratch” notion espoused by Hajič — there is already a bedrock of expertise and technology in place.
Sovereign state
As critics have noted, OpenEuroLLM does have a lot of moving parts — which Hajič acknowledges, albeit with a positive outlook.
“I’ve been involved in many collaborative projects, and I believe it has its advantages versus a single company,” he said. “Of course they’ve done great things at the likes of OpenAI to Mistral, but I hope that the combination of academic expertise and the companies’ focus could bring something new.”
And in many ways, it’s not about trying to outmaneuver Big Tech or billion-dollar AI startups; the ultimate goal is digital sovereignty: (mostly) open foundation LLMs built by, and for, Europe.
“I hope this won’t be the case, but if, in the end, we are not the number one model, and we have a ‘good’ model, then we will still have a model with all the components based in Europe,” Hajič said. “This will be a positive result.”

A blog which focuses on business, Networth, Technology, Entrepreneurship, Self Improvement, Celebrities, Top Lists, Travelling, Health, and lifestyle. A source that provides you with each and every top piece of information about the world. We cover various different topics.
Technology
North Carolina Amazon workers vote against unionizing

Workers at an Amazon warehouse in Garner, North Carolina voted against unionizing in election results announced today.
According to Carolina Amazonians United for Solidarity and Empowerment (CAUSE), the worker group seeking to form the union, 3,276 ballots were cast in the election, with 25.3% of votes in favor of unionizing and 74.7% against. The results still need to be certified by the National Labor Relations Board (NLRB).
In a statement provided to CNBC, CAUSE blamed the results on “Amazon’s willingness to break the law,” claiming, “Amazon’s relentless and illegal efforts to intimidate us prove that this company is afraid of workers coming together to claim our power.”
Amazon spokesperson Eileen Hards denied the company had broken any laws and said, “We’re glad that our team in Garner was able to have their voices heard, and that they chose to keep a direct relationship with Amazon.”
Workers at an Amazon warehouse in Staten Island voted to unionize in 2022, and workers at a Philadelphia location of Amazon-owned Whole Foods also voted in favor of unionization earlier this year. The grocery chain has asked the NLRB to set those results aside.
Meanwhile, Amazon’s lawyers recently joined SpaceX in a legal challenge to the NLRB’s structure.

A blog which focuses on business, Networth, Technology, Entrepreneurship, Self Improvement, Celebrities, Top Lists, Travelling, Health, and lifestyle. A source that provides you with each and every top piece of information about the world. We cover various different topics.
Technology
Uber sues DoorDash, alleging anti-competitive tactics

Ride-share giant Uber filed a lawsuit Friday against DoorDash, accusing the delivery outfit of stifling competition by intimidating restaurant owners into exclusive deals.
Uber alleges in the lawsuit, filed in Superior Court of California, that its chief rival bullied restaurants into only working with DoorDash. Uber claims that DoorDash, which holds the largest share of the food delivery market in the U.S., threatens restaurants with multimillion-dollar penalties or the removal or demotion of the businesses’ position on the DoorDash app.
Specifically, Uber claims DoorDash pressures restaurants to strike exclusive or near-exclusive agreements for first-party delivery services, meaning that DoorDash insists on solely handling orders placed through restaurants’ own websites, says Uber.
“Uber’s case has no merit,” said a DoorDash spokesperson in an email to TechCrunch on Friday. “Their claims are unfounded and based on their inability to offer merchants, consumers, or couriers a quality alternative.”
DoorDash and Uber Eats are best known for their respective apps to connect restaurant, consumers and gig economy workers. Consumers use the apps to find and order food like pizza, egg rolls, or pad thai from restaurants. A gig economy worker then picks up and delivers the food to the consumer.
But the two companies also compete with their own white-label delivery services – called Uber Direct and DoorDash Drive on-Demand – which both launched in 2020. These services are cheaper for restaurants, allowing patrons to order directly from the restaurants’ own apps and websites, while Uber and DoorDash manage the couriers behind the scenes.
Uber claims in its suit that DoorDash handles first-party deliveries for more than 90% of the largest enterprise restaurants in America, and it alleges DoorDash used anticompetitive practices to win the market.
“More than 1 million merchants partner with Uber Eats because we’ve helped them to reach more customers and provided them the freedom to decide how they want to grow their businesses with delivery,” Sarfraz Maredia, head of the Americas for delivery at Uber, said in an emailed statement. “We’ve increasingly heard complaints from restaurants that DoorDash’s tactics are limiting that freedom and punishing them for seeking better options. We hope this filing puts an end to those unfair practices so that restaurants can choose what’s best for them without fear of penalty or retribution.”
In one example from the lawsuit, Uber says that an unnamed “significant restaurant company” told the company it would not move forward with a long-planned rollout of Uber Direct across several of its restaurant brands. The reason, Uber claims, is because DoorDash allegedly threatened to increase the rates it charges the restaurant company to use DoorDash’s third-party delivery services if it continued to use Uber Direct.
Uber says this was not a one-off event, but rather that multiple customer have told the company they feel “like they have a ‘gun to their head,’ that DoorDash is a ‘monopolist,’ and that they are being bullied by DoorDash.”
Uber has requested a jury trial; the company did not specify the amount of damages in the complaint. However, Uber claims these anticompetitive practices have cost the company “millions of dollars in revenue” and also restricted the growth of Uber Direct.

A blog which focuses on business, Networth, Technology, Entrepreneurship, Self Improvement, Celebrities, Top Lists, Travelling, Health, and lifestyle. A source that provides you with each and every top piece of information about the world. We cover various different topics.
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