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I don’t want people reading my Gemini conversations, so I disabled AI training — here’s how - Related to google, but, don’t, experimental, can

Google Gemini app gets the latest 2.0 experimental models

Google Gemini app gets the latest 2.0 experimental models

Google has today introduced that its Gemini app now has the latest Gemini [website] experimental models in it. First off, Gemini [website] Flash Thinking is available to try for free by everyone using the app. This model is trained "to break down prompts into a series of steps to strengthen its reasoning capabilities and deliver enhanced responses", the enterprise says.

Gemini [website] Flash Thinking "exhibits its thought process so you can see why it responded in a certain way, what its assumptions were, and trace the model's line of reasoning".

Just to be clear - neither this model nor any others are actually "thinking" or "reasoning", despite how much Google and OpenAI would like you to believe so. But this is still a neat addition. Now when Gemini makes something up or tells you something that's completely wrong, you're one step closer to finding out why.

Anyway, both of these models are currently rolling out to the Gemini mobile app and the Gemini web interface. They will also make it to Google Workspace Business and Enterprise consumers "soon".

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I don’t want people reading my Gemini conversations, so I disabled AI training — here’s how

I don’t want people reading my Gemini conversations, so I disabled AI training — here’s how

I love Google’s Gemini. I use it daily for work and personal projects. I’ve completely replaced Google Search with Gemini when looking for specific answers or researching topics I’m currently obsessed with.

The problem is that Google regularly reviews Gemini chats and uses that data to train the chatbot. It’s not a completely automatic process, as Google employees sometimes read Gemini chats to figure out how to improve responses.

I understand the logic, but I’m uncomfortable with Google employees reading my conversations. Some contain sensitive health data I don’t want to share. And even if a conversation is generic, I still don’t want strangers reading it. Call me crazy, but I like my privacy. While I get that the data helps Google improve Gemini, which in the end benefits us, the customers, I don’t want to participate.

Do you care if Google employees read your Gemini chats for AI training purposes? 176 votes Yes 82 % No 18 %.

Here’s how to turn off Gemini AI training.

Turning off Gemini AI training is straightforward on Android and the web, although the process is slightly different on each.

On Android, tap your profile image in the top-right corner of the Gemini app and select “Gemini App Activity.” Then, tap the “Turn off” button and either select “Turn off” or “Turn off and delete activity.” Choose the latter if you don’t want Google to look over your old Gemini messages, while the former only applies to future chats you have with the AI.

Other chatbots, like ChatGPT, also use your conversations for training. And just like with Gemini, you can opt out if you want your chats to remain private.

The process differs from chatbot to chatbot, but it’s usually as simple as with Gemini. Just head into the settings and find the option to opt out of AI model training.

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You can set a custom wake word for Bixby on the Galaxy S25, but will anyone care?

You can set a custom wake word for Bixby on the Galaxy S25, but will anyone care?

Back in February 2023, Samsung presented that Galaxy S23 people in Korea would be able to customize the wake-up phrase, but the enterprise didn’t follow up to say when this feature would roll out globally.

We noticed that this feature is available out of the box on the Galaxy S25 and that it also not long ago became available on other Samsung phones.

When Samsung launched the Galaxy S25 series late last month, there was nary a peep about its Bixby voice assistant. This is because Samsung decided to put Google’s Gemini voice assistant front and center on the Galaxy S25. While Samsung is highlighting Gemini on the S25, Bixby fans will be glad to know it hasn’t been abandoned. In fact, Bixby offers a feature even Gemini lacks: the ability to set a custom wake-up phrase.

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A wake-up phrase is a word or set of words used to activate a voice assistant. Most voice assistants have one or two fixed wake-up phrases that you can use. For Gemini, it’s “Hey Google” or “Okay Google,” whereas for Bixby, it’s “Bixby” or “Hi Bixby.” Smartphone makers typically don’t let you create your own wake-up phrases because custom phrases may be less reliable than the pre-set options.

However, that doesn’t mean it’s impossible to create your own wake-up phrase; in fact, some silicon vendors like Qualcomm actually provide software to create your own wake-up phrases, but this software is never shipped on end-user devices. Thankfully, Samsung has now made this feature available for Bixby.

Samsung revealed in February 2023 that Bixby would gain personalized wake-up phrases, initially only in Korea, with no timeline given for global expansion. We found this feature pre-installed on our US Galaxy S25 Ultra review unit, and it appears to be available on older Samsung devices as well. We’re not sure exactly when it rolled out to other regions, but judging by reports online, it may have happened sometime in the last few weeks.

To access this feature, navigate to Settings > Advanced features > Bixby > Labs on your Samsung phone. There, you’ll find a create wake-up phrase toggle. After toggling this, you can go to Settings > Advanced features > Bixby > Voice registration and tap Create wake-up phrase under the voice wake-up section to train your own wake-up phrase.

You can utter almost any wake-up phrase, with the exception of “Google,” “Alexa,” and “Siri.” Samsung recommends uttering a phrase between two and four syllables and to avoid having earphones or Bluetooth devices connected while recording.

Once you’ve created a custom wake-up phrase, you can use it at any time to activate Bixby. This works even when the screen is off, just like the default “Hi, Bixby” and “Bixby” phrases. If you experience detection issues, you can adjust the wake-up sensitivity or re-record your voice to improve accuracy. You can also toggle “wake up when media is playing” if you want to have Bixby listen for your voice even when videos or music is playing. Finally, you can delete all voice recordings by tapping “delete all voice recordings” at the bottom of the page.

While the custom wake-up phrase is a welcome addition, it may not be enough to make people reconsider Bixby. Although Bixby excels at device control, particularly through One UI Routines, it lags behind Gemini in general knowledge and question-answering. We were hoping to see Samsung’s next-generation Bixby on the Galaxy S25, but unfortunately, that more advanced version remains limited to China.

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Amazon is holding an event on February 26th hosted by Panos Panay, which points to we’ll see new hardware.

That noted, Amazon is working on a long-dela......

Market Impact Analysis

Market Growth Trend

2018201920202021202220232024
7.3%8.8%9.3%10.3%10.8%11.2%11.3%
7.3%8.8%9.3%10.3%10.8%11.2%11.3% 2018201920202021202220232024

Quarterly Growth Rate

Q1 2024 Q2 2024 Q3 2024 Q4 2024
10.6% 10.8% 11.1% 11.3%
10.6% Q1 10.8% Q2 11.1% Q3 11.3% Q4

Market Segments and Growth Drivers

Segment Market Share Growth Rate
Smartphones42%8.7%
Mobile Applications26%14.5%
Mobile Infrastructure17%12.8%
Wearables11%18.9%
Other Mobile Tech4%9.4%
Smartphones42.0%Mobile Applications26.0%Mobile Infrastructure17.0%Wearables11.0%Other Mobile Tech4.0%

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
Apple24.3%
Samsung22.7%
Huawei14.2%
Xiaomi11.8%
Google Pixel5.4%

Future Outlook and Predictions

The Gemini Google Gets 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 mobile 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 mobile 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 mobile tech evolution:

Battery technology limitations
Privacy concerns
Device interoperability issues

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:

interface intermediate

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

platform intermediate

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