Google launches Gemini 2.0 Pro and Flash-Lite with improved reasoning and efficiency - Related to prepaid, google, moto, this, reasoning
Alphabet brought in almost $100 billion in Q4, and investors still aren’t satisfied

Search, YouTube, and cloud sales are all up, but cloud in specific fell short of analyst estimates.
Stock prices immediately dove in response to the news, dropping some 8%.
Last time we checked in on Google (or rather, parent corporation Alphabet) sharing financial figures, it was riding high on the Pixel 9 wave, and Q3 2024 numbers showed strong performance across Search, YouTube, and cloud efforts. While its momentum looked great at the time, this is also an industry where new players like DeepSeek can seemingly emerge overnight, throwing off everyone’s expectations. Now Alphabet has its Q4 figures ready to share, and this time around the corporation’s performance feels a little more nuanced.
Total Alphabet revenue for the quarter reaches about $[website] billion, and while that’s absolutely up from the $[website] billion reported across the same quarter last year, that does represent a slight slowdown in the rate at which revenue’s growing. The good news is that margins are up, as is income across major Google services: Search brought in $54 billion, while YouTube generated $[website] billion.
Maybe the biggest problem, though, is Google’s relationship with investors. Bloomberg reports Alphabet shares down over 8% in the wake of today’s publication, largely driven by a failure to hit analyst sales targets, ultimately coming up a little over a billion dollars short. One specific failure identified there is in terms of cloud sales, which analysts hoped would see much more growth, driven by external interest in AI projects.
Instead, we see an Alphabet that’s doing some of its best business ever — just not satisfying the even loftier demands of investors. This past quarter saw some particularly special opportunities for Google to generate revenue, like the big boost in YouTube ad spending preceding last fall’s US elections. Going forward, though, the firm might benefit from a renewed focus on sales that can create recurring income, rather than any more one-offs.
All told, Alphabet is looking at Q4 revenue coming in at a 12% year-over-year gain, with net income hitting $[website] a share.
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Asus Zenfone 12 Ultra Aside from a new processor, a few minor tweaks, and a new look, this is the ASUS Zenfone 11 Ultra with a big old AI sticker slap......
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Google launches Gemini 2.0 Pro and Flash-Lite with improved reasoning and efficiency

Gemini app clients will now be able to access [website] Flash Thinking Experimental from the model dropdown on desktop and mobile.
The business is also rolling out Gemini [website] Pro and Flash-Lite.
Google first released Gemini [website] Flash as an experiment back in December. A month later, [website] Flash had its experimental status dropped and the corporation improved its [website] Flash Thinking Experimental model in Google AI Studio. Google is now making these models more readily available while rolling out a few additional AI models.
Today, the Mountain View-based firm revealed that Gemini [website] Flash — its workhorse model for developers — is being made generally available through the Gemini API in Google AI Studio and Vertex AI. This comes only a week after it had made the updated model available to all Gemini app customers on desktop and mobile.
On top of this, Gemini app consumers will now be able to access Gemini [website] Flash Thinking Experimental from the model dropdown on desktop and mobile. For those unfamiliar with this version of Gemini, it’s an enhanced reasoning model that can show its thought process and reason through more complex problems. You can check out a detailed performance comparison in Google’s blog.
If you’re not overwhelmed by all of these different Gemini models yet, then good news, Google is releasing even more. Starting today, the tech giant is launching an experimental version of Gemini [website] Pro. Google asserts that this model “has the strongest coding performance and ability to handle complex prompts, with more effective understanding and reasoning of world knowledge, than any model we’ve released so far.” It can also call on tools like Google Search and code execution.
In addition to [website] Pro, Google is also debuting Gemini [website] Flash-Lite. As its name implies, this model is designed to be cost-efficient. Despite that, the firm indicates that the model outperforms [website] Flash on most benchmarks while being just as fast and costing the same amount. If you want to try this model, it is available in public preview in Google AI Studio and Vertex AI.
Speaking of cost, Google offers a breakdown of the price of Gemini [website] Flash and [website] Flash-Lite against [website] Flash in the image above. The firm states the price of [website] Flash and Flash-Lite “can be lower than Gemini [website] Flash with mixed-context workloads.”.
For now, these models only offer multimodal (text, image, etc) input with text output. However, Google says more modalities will be added for general availability in the coming months.
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The aging Garmin Vivoactive 4 finally received a successor in September of 2023, though it’s a fairly different watch this time around. The Vivoactive......
Existing options have consisted of a directional arrow, and ......
This prepaid carrier is offering a Moto G 5G for free, a savings of $200

The Moto G 5G is valued at $200, making this a solid deal.
Now Mobile is essentially a sub-brand of Xfinity Mobile, offering similar services and functions but through a prepaid model instead of postpaid.
Now Mobile is kicking off tax season with a free phone promotion, giving clients a new Moto G 5G from now until February 17 when they activate a new line of service. While the Moto G 5G is nowhere near flagship level, it is a decent budget device with solid performance and battery life. This is especially true considering its $200 price tag.
Still, the phone is far from perfect. The MediaTek Dimensity 6300 isn’t a bad chip, but it’s no Qualcomm SoC, and Lenovo’s Motorola-branded devices typically have less-than-consistent software upgrade policies. Of course, the price of free changes things a bit, making any shortcomings much easier to overlook.
If a free phone wasn’t enough to lure you in, Now Mobile is sweetening the deal by waiving its $25 activation fee (through March 31) and offering a $100 prepaid card for those who port in a line from another carrier.
At this point, you might be wondering who Now Mobile is — and it’s a fair question. It’s not exactly a new business, at least not technically. Comcast introduced Now and Now Mobile last year as prepaid alternatives to its standard Xfinity and Xfinity Mobile services.
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Taiwan Semiconductor Manufacturing corporation.
Despite the fact that we are Android fans around here, we know many of our readers love iPads. Many of you take advan......
Amazon is holding an event on February 26th hosted by Panos Panay, which hints at we’ll see new hardware.
That expressed, Amazon is working on a long-dela......
Market Impact Analysis
Market Growth Trend
2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 |
---|---|---|---|---|---|---|
7.3% | 8.8% | 9.3% | 10.3% | 10.8% | 11.2% | 11.3% |
Quarterly Growth Rate
Q1 2024 | Q2 2024 | Q3 2024 | Q4 2024 |
---|---|---|---|
10.6% | 10.8% | 11.1% | 11.3% |
Market Segments and Growth Drivers
Segment | Market Share | Growth Rate |
---|---|---|
Smartphones | 42% | 8.7% |
Mobile Applications | 26% | 14.5% |
Mobile Infrastructure | 17% | 12.8% |
Wearables | 11% | 18.9% |
Other Mobile Tech | 4% | 9.4% |
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity:
Competitive Landscape Analysis
Company | Market Share |
---|---|
Apple | 24.3% |
Samsung | 22.7% |
Huawei | 14.2% |
Xiaomi | 11.8% |
Google Pixel | 5.4% |
Future Outlook and Predictions
The Alphabet Brought Almost 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:
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:
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
- Technology adoption accelerating across industries
- digital transformation initiatives becoming mainstream
- Significant transformation of business processes through advanced technologies
- new digital business models emerging
- 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:
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
Factor | Optimistic | Base Case | Conservative |
---|---|---|---|
Implementation Timeline | Accelerated | Steady | Delayed |
Market Adoption | Widespread | Selective | Limited |
Technology Evolution | Rapid | Progressive | Incremental |
Regulatory Environment | Supportive | Balanced | Restrictive |
Business Impact | Transformative | Significant | Modest |
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.