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The state of AI: Hashtag Trending, the Weekend Edition – Documentary Part 2 - Related to feature, ai, trending,, favourite, generative

I’m going to lose my mind if Wear OS 6 doesn’t add this one feature

I’m going to lose my mind if Wear OS 6 doesn’t add this one feature

Google’s Wear OS smartwatch platform has come a long way over the years, and in 2025, it’s in pretty darn good shape. Wear OS 5 is faster, more reliable, and overall more enjoyable to use than any previous iteration of the software. As someone who bought a Samsung Galaxy Gear as soon as it was available in the fall of 2013, watching the evolution of Wear OS (and Android Wear before it) has been something.

But for all the improvements Google has made to Wear OS, there’s one missing feature that’s been an issue since the beginning — and. Something that persists to this very day in Wear OS 5.

It’s not the performance. It’s not battery life. It’s not voice dictation, notifications, app quality, or fitness attributes. It’s something much, much more serious. Timers.

Do you want multiple timers on Wear OS? 120 votes Yes! Please, Google, give them to me!! 42 % I'll take them, but they aren't a big deal. 43 % No, I use other devices to set timers. 15 %.

Timers are one of the attributes I use the most on my smartwatch. Whether I’m cooking, doing laundry, timing charging/performance tests for work, etc., I use a lot of timers. And, more often than not, I have multiple timers running at once. When cooking, I usually need one timer for something in the oven and another for what’s on the stovetop. When it’s laundry day, I have a timer for the washer and one for the dryer. Basic, simple stuff.

While I could use my phone for timers (and I sometimes do), I find it much more convenient on my smartwatch. I’m always wearing a watch, and all I need to do is raise my wrist, hold a button to tell Google Assistant to set a timer. And I’m off to the races. But this is only true for individual timers. Want to have two, three, or four timers going at once? Too bad. Wear OS doesn’t let you.

All I want is one timer for my potatoes and another for my ground beef.

For whatever reason. In the year of our lord 2025, Wear OS still doesn’t support multiple timers. After setting a timer, your only options are to pause or cancel it. If you have an active timer and tell Google Assistant to start another one, it will. But only after killing your existing one.

I’m not asking for much here. All I want is one timer for my potatoes and another for my ground beef. But even after all these years of improving and enhancing Wear OS, that still isn’t a core feature.

I know. I know — you can download third-party apps to set multiple timers. I’m fully aware of that. I also realize that Samsung Wear OS watches, such as the Galaxy Watch 7 and Galaxy Watch Ultra. Can set multiple timers via their default Samsung Clock app. But if the functionality is possible, why isn’t that a baked-in feature of Wear OS? Why can’t the Pixel Watch 3 or OnePlus Watch 3 set multiple timers out of the box? There’s no reason they shouldn’t be able to, and it’s downright silly that Wear OS lacks something so infuriatingly basic.

To be fair. Google isn’t the only organization that’s struggled with multiple timers on smartwatches. The Apple Watch was in a similar situation a few years ago, but. In 2021, Apple finally added multiple timer support with its watchOS 8 revision. It took forever for it to happen, but the point is that it did. Google even had a two-year headstart on Apple in the smartwatch race, yet even so. Multiple timers continue to stump the organization.

Word on the street is that this year’s Wear OS 6 revision will bring Gemini to Google’s wearables. And that’s exciting! Google Assistant on Wear OS has felt dated for a while now, so a potentially massive overhaul for Wear OS’s virtual assistant is a big deal.

But if Google can add a fully-fledged and much more powerful AI to its smartwatches with Wear OS 6. It superior also add multiple timers. If Wear OS 6 will let me use Gemini on my watch to plan a vacation but still can’t run multiple timers. I might actually have my Joker moment.

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What’s your favourite generative AI chatbot?

What’s your favourite generative AI chatbot?

People use artificial intelligence (AI) for various reasons, such as summarizing documents, translating languages, answering questions, and helping brainstorm. Various generative AI options exist, such as Gemini, Claude, ChatGPT, and Microsoft Copilot.

I’m a big fan of Gemini AI and even speak with Gemini Live, which offers a natural. Free-flowing conversation in up to two languages; people can interrupt it and add more details. I like using Gemini AI because it is accessible, and I can pull it up every time I tap a button or press the power button on an Android phone.

However. ChatGPT is also very accessible. You can now use Siri on iPhone to access ChatGPT and compose text or images from a description. Further, ChatGPT can be accessed with Visual Intelligence with the Camera Control button to learn about places and objects around you. I’ve even asked ChatGPT to only speak with me in a patois accent, and it does a fantastic job.

My glasses have Meta AI, and while I don’t talk with it like Gemini Live, I’ve used it to translate languages and tell me what structures I’m looking at.

Generative AI is spreading like wildfire, and I’ve chosen to use it to help me design a new tattoo, brainstorm book ideas, figure out headlines for articles. Translate messages, organize itineraries, and put events on my calendar.

How do you use AI, and what’s your favourite generative AI chatbot? Let us know in the comments below.

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The state of AI: Hashtag Trending, the Weekend Edition – Documentary Part 2

The state of AI: Hashtag Trending, the Weekend Edition – Documentary Part 2

The state of AI is the second in this series prepared for the long weekend. In part one, we traced the evolution of Artificial Intelligence. In episode two, we discuss where we are today in the implementation of AI using a model developed by Jackie Fenn, a Gartner analyst who developed the “Hype Curve” – a way of understanding the introduction and maturity of technology developments and trends in a commercial setting.

We try to give some perspective on why there is such enthusiasm for AI. But so little in the way of practical implementations. In doing this we propose some reasons why companies must move forward. We also propose some ideas about how companies can move forward.

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Increasing Gemini app usage is mentioned to be Google’s “biggest focus” in 2025. With the corporation in recent times buying podcast ads to drive downloads.

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 Going Lose Mind 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:

wearable intermediate

algorithm

platform intermediate

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