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What is Gemini: everything you need to know about Google’s AI chatbot - Related to know, everything, quit, need, end

How to save your PC when Windows 10 hits end of life

How to save your PC when Windows 10 hits end of life

Option 2: Switch to Linux – how to get started.

If you’re tired of Microsoft’s shenanigans and feel ready for an adventure, try switching to Linux instead of harping on about Windows. Linux is more capable today than ever, and thanks to open source projects like Wine, Vulkan, and Proton, it’s easy to run many, if not most, Windows programs and games.

Linux is not a unified operating system that looks and works in a particular way. Instead, there are a large number of so-called distributions, different flavors of Linux that may use different graphical user interfaces and different tools for basic functions like system updates.

To give you an idea of what a jungle it is, I can list some of the major distributions: Arch, Debian, Fedora, Manjaro, Mint, Opensuse, Red Hat, and Ubuntu. There are many more, and often several variants of each distribution. It’s no wonder that many people who want to try Linux get decision anxiety and give up.

My recommendation if you come from Windows and have never used Linux is to start with Linux Mint. It has a graphical interface that is fairly close to Windows and is designed to work well right after installation without having to tinker with settings. If you don’t like it, you can always try something else.

I recommend starting by installing Linux on a separate hard drive or SSD alongside Windows, so you can easily switch back.

1. Download and create installation drive.

Restart your computer and press the correct key to access the start menu before Windows starts. Which key it is varies between different computer manufacturers, but it is usually, for example, the Esc key, F2, or F10. Select the USB stick and wait until Mint has started.

While the installation is running in the background, select the time zone, fill in a username and password, and a few other things. Then just sit back and wait for it to finish.

Further reading: Newbie’s guide to Windows BitLocker: Why you need it and how to set it up.

When you restart your computer after installation and enter the password you chose, you’ll be greeted by the Mint desktop and a welcome program to help you get started. The First Steps tab provides shortcuts to a number of essential aspects that you can use right from the start.

Here, for example, you’ll find Driver Manager, which you should run to see if there are drivers for your hardware that are not pre-installed. If you have an Nvidia graphics card, this can be particularly useful, as the system does not pre-install the organization’s proprietary drivers, which often work more effective than its open-source drivers.

Try it out! Much of the system is similar enough to Windows that you should be able to find your way around as long as you are curious.

It’s easy as pie to install Steam and start playing Windows games on Linux. Foundry.

If you run into trouble, a quick web search is usually enough, but there are also plenty of forums with helpful members, not least on Reddit. It can help to keep in mind that Mint is based on Ubuntu, so if there are no instructions specifically for Mint, you can usually use those for Ubuntu.

If you don’t fancy getting into Linux “for real,” Google’s Chrome OS can be an alternative. This is the system that powers Chromebooks, and although it is essentially Linux, it is greatly simplified and almost all interaction with the system is via the Chrome browser.

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What is Gemini: everything you need to know about Google’s AI chatbot

What is Gemini: everything you need to know about Google’s AI chatbot

Gemini is Google’s competitor in the race for AI supremacy. A rival to the likes of ChatGPT, it’s a chatbot underpinned by a powerful AI model.

Available online and through smartphone apps, Gemini can assist with everything from web searches to image generation. It also integrates into a number of Google cloud services for contextual assistance.

Gemini is free to use and improving all the time. With more to come in 2025, here’s what Gemini can do – and whether it’s worth paying for Gemini Advanced.

This article was correct as of February 2025. AI tools are updated regularly and it is possible that some attributes have changed since this article was written. Some attributes may also only be available in certain countries.

Gemini is the collective name for several components which together make up Google’s AI offering. All of these are underpinned by a large language model, which was released as Gemini in December 2023. The corporation’s chatbot was previously called Bard, but this was brought under the Gemini umbrella in February 2024. There’s also Gemini for Workspace, which leverages the AI model to enhance cloud-based productivity.

For most individuals, Gemini is best seen as an alternative to ChatGPT. As an AI chatbot, it can provide reasoned, context-aware responses to natural language prompts. It’s able to answer questions, write code and summarize articles. It can also be used to generate images from simple descriptions using Google’s Imagen 3 text-to-image model.

Like ChatGPT, you can interact with Gemini in a conversational way, asking follow-up questions within the same thread. Because Gemini is connected to the web, you can also use it for enhanced search summaries, pulling in real-time information from online data.

Gemini is also available on mobile: download the app for iOS or Android to interact with it on your smartphone. It will integrate with other Google apps, pulling in data from the likes of Gmail and Google Maps. The app is also where clients can go Live with Gemini, allowing you to interact with the chatbot in real-time using your voice. For Android clients, Gemini can also replace Google Assistant.

not long ago, Google added the ability for all clients to share documents with Gemini for analysis and feedback. Certain Workspace clients can also access Deep Research, an in-depth reporting tool.

Like most of the best AI chatbots, there are restrictions on the kind of content that Gemini can generate. It will try to steer clear of copyright infringement or offensive material, for example. There are also limits to the depth of some of its abilities. While it can generate code, for example, it isn’t a complete software development tool.

Gemini also suffers from the same fallibilities which befall other chatbots, namely that its answers are not always accurate. It’s been known to hallucinate, returning incorrect or invented information. As a result, it can’t be used as a definitive research tool.

The standard version of Gemini is free to use online and through mobile apps. It currently runs on Google’s Gemini [website] model, with three versions available to select, depending on whether you need everyday help, multi-step reasoning or integration with YouTube, Maps and Search.

There is also a paid tier available, called Gemini Advanced. This is bundled in with the Google One AI Premium Plan, for $[website] / £[website] / AU$[website] per month. It unlocks access to Google’s latest AI models, as well as new capabilities and higher processing limits (allowing you to submit PDF documents of up to 1,500 pages). You also get native Gemini integration across a number of Google cloud-based services, including Gmail, Docs, Slides and Meet.

Gemini can be accessed online using almost any browser, by pointing it to [website] Head there to interact with Gemini as a web-based chatbot.

Gemini is also available as a smartphone app for iOS and Android. These apps have the same functionality as the web interface, plus the option to go Live with Gemini.

In our hands-on review of Gemini on an Android smartphone, we found it a genuinely useful alternative to Google Assistant. We noted some bugs, but many of those have been ironed out since, with plenty of new functions added. We appreciated its integration with apps like Maps and Gmail, as well as how dialogue with the chatbot encouraged creativity, even if the faux humanity was grating.

In a more recent review of Gemini [website] Flash, we found the model faster, smarter and more accurate than before, making the chatbot a more compelling tool. We found its answers clear, succinct and creative.

There’s still room for improvement. Gemini isn’t immune from inaccuracies and reviews elsewhere have reported that the model can misunderstand the detail of what it’s being asked. Even so, Google’s AI tool has a lot going for it – particularly with the impressive real-time performance of Gemini Live.

Google Gemini is a capable AI chatbot that’s available for free on iOS and Android, where it integrates with other Google apps, like Gmail. Using it on your smartphone unlocks more elements than the web-based version.

You want to real-time spoken conversations.

Gemini Live on mobile allows you to hold a spoken conversation with Google’s AI model, for a more natural, free-flowing interaction that leaves your hands free for something else.

You need completely accurate information.

Gemini does a good job of sourcing real-time data from the web, but it’s still liable to return inaccurate information or hallucinate facts. Accuracy is improving, but results still need to be cross-checked.

As capable as it is, Gemini is still very much a work in progress. New capabilities and integrations are in the pipeline, but you need to accept certain limitations when using Google’s chatbot right now.

ChatGPT is the most well-known AI chatbot – and for good reason. It has a full set of aspects to rival Google Gemini, including a voice mode and web search capabilities. Several reviews also find ChatGPT more accurate when it comes to sourcing information, although this depends on the context.

is the most well-known AI chatbot – and for good reason. It has a full set of capabilities to rival Google Gemini, including a voice mode and web search capabilities. Several reviews also find ChatGPT more accurate when it comes to sourcing information, although this depends on the context. Apple Intelligence is a suite of AI tools available to customers of compatible iPhone, iPad and Mac devices. Deeply integrated into Apple’s operating systems, the toolkit provides contextual assistance across apps like Mail and Photos. Rollout is ongoing and most processing takes place on device.

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Market Impact Analysis

Market Growth Trend

2018201920202021202220232024
4.9%5.9%6.2%6.9%7.3%7.5%7.6%
4.9%5.9%6.2%6.9%7.3%7.5%7.6% 2018201920202021202220232024

Quarterly Growth Rate

Q1 2024 Q2 2024 Q3 2024 Q4 2024
6.9% 7.2% 7.4% 7.6%
6.9% Q1 7.2% Q2 7.4% Q3 7.6% Q4

Market Segments and Growth Drivers

Segment Market Share Growth Rate
Semiconductors35%9.3%
Consumer Electronics29%6.2%
Enterprise Hardware22%5.8%
Networking Equipment9%7.9%
Other Hardware5%5.3%
Semiconductors35.0%Consumer Electronics29.0%Enterprise Hardware22.0%Networking Equipment9.0%Other Hardware5.0%

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity:

Innovation Trigger Peak of Inflated Expectations Trough of Disillusionment Slope of Enlightenment Plateau of Productivity AI/ML Blockchain VR/AR Cloud Mobile

Competitive Landscape Analysis

Company Market Share
Apple18.7%
Samsung16.4%
Intel12.9%
NVIDIA9.8%
AMD7.3%

Future Outlook and Predictions

The Save Your When landscape is evolving rapidly, driven by technological advancements, changing threat vectors, and shifting business requirements. Based on current trends and expert analyses, we can anticipate several significant developments across different time horizons:

Year-by-Year Technology Evolution

Based on current trajectory and expert analyses, we can project the following development timeline:

2024Early adopters begin implementing specialized solutions with measurable results
2025Industry standards emerging to facilitate broader adoption and integration
2026Mainstream adoption begins as technical barriers are addressed
2027Integration with adjacent technologies creates new capabilities
2028Business models transform as capabilities mature
2029Technology becomes embedded in core infrastructure and processes
2030New paradigms emerge as the technology reaches full maturity

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:

Time / Development Stage Adoption / Maturity Innovation Early Adoption Growth Maturity Decline/Legacy Emerging Tech Current Focus Established Tech Mature Solutions (Interactive diagram available in full report)

Innovation Trigger

  • Generative AI for specialized domains
  • Blockchain for supply chain verification

Peak of Inflated Expectations

  • Digital twins for business processes
  • Quantum-resistant cryptography

Trough of Disillusionment

  • Consumer AR/VR applications
  • General-purpose blockchain

Slope of Enlightenment

  • AI-driven analytics
  • Edge computing

Plateau of Productivity

  • Cloud infrastructure
  • Mobile applications

Technology Evolution Timeline

1-2 Years
  • Technology adoption accelerating across industries
  • digital transformation initiatives becoming mainstream
3-5 Years
  • Significant transformation of business processes through advanced technologies
  • new digital business models emerging
5+ Years
  • Fundamental shifts in how technology integrates with business and society
  • emergence of new technology paradigms

Expert Perspectives

Leading experts in the hardware tech sector provide diverse perspectives on how the landscape will evolve over the coming years:

"Technology transformation will continue to accelerate, creating both challenges and opportunities."

— Industry Expert

"Organizations must balance innovation with practical implementation to achieve meaningful results."

— Technology Analyst

"The most successful adopters will focus on business outcomes rather than technology for its own sake."

— Research Director

Areas of Expert Consensus

  • Acceleration of Innovation: The pace of technological evolution will continue to increase
  • Practical Integration: Focus will shift from proof-of-concept to operational deployment
  • Human-Technology Partnership: Most effective implementations will optimize human-machine collaboration
  • Regulatory Influence: Regulatory frameworks will increasingly shape technology development

Short-Term Outlook (1-2 Years)

In the immediate future, organizations will focus on implementing and optimizing currently available technologies to address pressing hardware tech challenges:

  • Technology adoption accelerating across industries
  • digital transformation initiatives becoming mainstream

These developments will be characterized by incremental improvements to existing frameworks rather than revolutionary changes, with emphasis on practical deployment and measurable outcomes.

Mid-Term Outlook (3-5 Years)

As technologies mature and organizations adapt, more substantial transformations will emerge in how security is approached and implemented:

  • Significant transformation of business processes through advanced technologies
  • new digital business models emerging

This period will see significant changes in security architecture and operational models, with increasing automation and integration between previously siloed security functions. Organizations will shift from reactive to proactive security postures.

Long-Term Outlook (5+ Years)

Looking further ahead, more fundamental shifts will reshape how cybersecurity is conceptualized and implemented across digital ecosystems:

  • Fundamental shifts in how technology integrates with business and society
  • emergence of new technology paradigms

These long-term developments will likely require significant technical breakthroughs, new regulatory frameworks, and evolution in how organizations approach security as a fundamental business function rather than a technical discipline.

Key Risk Factors and Uncertainties

Several critical factors could significantly impact the trajectory of hardware tech evolution:

Supply chain disruptions
Material availability constraints
Manufacturing complexity

Organizations should monitor these factors closely and develop contingency strategies to mitigate potential negative impacts on technology implementation timelines.

Alternative Future Scenarios

The evolution of technology can follow different paths depending on various factors including regulatory developments, investment trends, technological breakthroughs, and market adoption. We analyze three potential scenarios:

Optimistic Scenario

Rapid adoption of advanced technologies with significant business impact

Key Drivers: Supportive regulatory environment, significant research breakthroughs, strong market incentives, and rapid user adoption.

Probability: 25-30%

Base Case Scenario

Measured implementation with incremental improvements

Key Drivers: Balanced regulatory approach, steady technological progress, and selective implementation based on clear ROI.

Probability: 50-60%

Conservative Scenario

Technical and organizational barriers limiting effective adoption

Key Drivers: Restrictive regulations, technical limitations, implementation challenges, and risk-averse organizational cultures.

Probability: 15-20%

Scenario Comparison Matrix

FactorOptimisticBase CaseConservative
Implementation TimelineAcceleratedSteadyDelayed
Market AdoptionWidespreadSelectiveLimited
Technology EvolutionRapidProgressiveIncremental
Regulatory EnvironmentSupportiveBalancedRestrictive
Business ImpactTransformativeSignificantModest

Transformational Impact

Technology becoming increasingly embedded in all aspects of business operations. This evolution will necessitate significant changes in organizational structures, talent development, and strategic planning processes.

The convergence of multiple technological trends—including artificial intelligence, quantum computing, and ubiquitous connectivity—will create both unprecedented security challenges and innovative defensive capabilities.

Implementation Challenges

Technical complexity and organizational readiness remain key challenges. Organizations will need to develop comprehensive change management strategies to successfully navigate these transitions.

Regulatory uncertainty, particularly around emerging technologies like AI in security applications, will require flexible security architectures that can adapt to evolving compliance requirements.

Key Innovations to Watch

Artificial intelligence, distributed systems, and automation technologies leading innovation. Organizations should monitor these developments closely to maintain competitive advantages and effective security postures.

Strategic investments in research partnerships, technology pilots, and talent development will position forward-thinking organizations to leverage these innovations early in their development cycle.

Technical Glossary

Key technical terms and definitions to help understand the technologies discussed in this article.

Understanding the following technical concepts is essential for grasping the full implications of the security threats and defensive measures discussed in this article. These definitions provide context for both technical and non-technical readers.

Filter by difficulty:

CPU intermediate

algorithm

ASIC intermediate

interface

PCIe intermediate

platform

RAM intermediate

encryption

GPU intermediate

API

SSD intermediate

cloud computing

platform intermediate

middleware Platforms provide standardized environments that reduce development complexity and enable ecosystem growth through shared functionality and integration capabilities.

interface intermediate

scalability Well-designed interfaces abstract underlying complexity while providing clearly defined methods for interaction between different system components.