"A tracking cookie farm for profit" - report claims reCAPTCHA has caused 819 million hours of wasted human time, and billions in Google profits - Related to human, google, makes, profits, data
"A tracking cookie farm for profit" - report claims reCAPTCHA has caused 819 million hours of wasted human time, and billions in Google profits

reCAPTCHA tests are not particularly effective at blocking security threats, research states.
Security tests are also costing millions of hours in lost time for customers.
New 'invisible challenges' could be an alternative for businesses.
Well, it turns out that everyone’s favorite slight inconvenience isn’t even effective at preventing bot traffic, as a study called “Dazed and Confused: A Large-Scale Real-World User Study of reCAPTCHAv2” has discovered the tests have wasted millions of hours of time for internet consumers -but also generated an estimated $888 billion in tracking cookie data for Google.
The tests are virtually unavoidable. And are so widespread that individuals have spent roughly 819 million hours solving them, despite each test taking researchers an average of only seconds to complete. Bots are increasingly able to solve CAPTCHAs, and the tests may become obsolete - here’s what we know so far.
The analysis notes there are two common types of test, CAPTCHA and reCAPTCHA - the first is the text-based challenges where clients decipher scrambled characters, and the second is a more advanced image-based approach which data pictures from Google street view, and in which clients are asked to select the image including a bicycle, for example.
When Google acquired reCAPTCHA in 2009. It used the technology to improve Google Street View by processing photos of house numbers and street signs, and to digitize Google Books.
But the CAPTCHAs are no longer fit for purpose, or at least, not in the way they used to be. The development of new AI tools means that CAPTCHA’s tests can be solved by bots, making them almost entirely obsolete - but only for the ostensible purpose of the tech.
By just 2010, there were automated services that could solve image labeling challenges with 100% accuracy, so reCAPTCHA tests are inadequate as a security challenge.
The study goes on to explain the tests, "wouldn’t make sense as a security service, yet it would make sense given that obtaining labeled image data is highly valuable and is even sold by Google.”.
Not only do the legitimate challenges fall short of protecting consumers, but researchers have observed fake CAPTCHA pages used to spread infostealer malware. Presenting serious risk for unsuspecting surfers,.
It’s not just about wasted time though, and as with all internet activity, the CAPTCHAs use energy - million kWhs, or million lbs of CO2 to be precise,.
This leads us to the ‘true purpose’ of CAPTCHA tests. These tests could be garnering huge profits for Google, which has potentially gained $ billion USD per each sale of its total labeled data set;
“The conclusion can be extended that the true purpose of reCAPTCHAv2 is a free image-labeling labor and tracking cookie farm for advertising and data profit masquerading as a security service”.
It is undeniably significant for businesses to verify whether individuals are humans or bots - to protect against DDoS attacks, data-scrapers. Scalpers, and more. So if CAPTCHA isn’t an effective security measure (and is pretty annoying for individuals), then what are the alternatives?
Well for now. CAPTCHA is virtually inevitable for anyone surfing the internet. However, there are alternatives for businesses, who can move on from the tests to something more secure and user-friendly.
There are now ‘invisible challenges’ which provide a much more user-friendly security solution for websites. With improved data accuracy and adaptability. These work by using complex algorithms and behavioral analysis to distinguish between humans and bots, all without needing explicit user interaction.
Whilst these invisible challenges don’t necessarily spell the end for a need for CAPTCHA, they can combine with the traditional CAPTCHA tests to deliver a much more seamless experience whilst providing more robust security for business websites.
To help keep your networks safe against bot attacks, we've also featured the best firewall software - which will help you by acting as a shield around your network infrastructure, and. Many will block harmful files before they can install and damage your system.
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DeepSeek AI draws ire of spy agency over data hoarding and hot bias

The privacy and safety troubles continue to pile up for buzzy Chinese AI upstart DeepSeek. After having access blocked for lawmakers and federal employees in multiple countries, while also raising alarms about its censorship and safeguards, it has now attracted an official notice from South Korea’s spy agency.
The country’s National Intelligence Service (NIS) has targeted the AI firm over excessive collection and questionable responses for topics that are sensitive to the Korean heritage, as per Reuters.
“Unlike other generative AI services. It has been confirmed that chat records are transferable as it includes a function to collect keyboard input patterns that can identify individuals and communicate with Chinese companies’ servers such as ,” the agency was quoted as saying.
Furthermore, this comes after a government notice asking different agencies and ministries to block employee access to DeepSeek over security alarms. Australia and Taiwan have already put such restrictions in place, and more countries are expected to follow suit.
The core issue is that DeepSeek is reportedly offering its ad partners open access to user data, which the Chinese government can also get its hands on. As per local laws. , the chatbot was also returning controversial answers to queries about culturally sensitive and contentious geopolitical topics.
Notably. The chatbot delivers different answers when asked the same question in Korean and Chinese languages. , the agency will conduct further tests to assess the safety and security aspects in the near future.
While security concerns have made headlines as the biggest concern with DeepSeek. Experts are also worried about the responses it can generate. In an analysis by The Wall Street Journal, the AI coughed up worrying information such as the recipe to cook up bioweapons, a Nazi defense manifesto, and self-harm encouragement.
In an analysis by fellow AI giant Anthropic, the organization’s CEO Dario Amodei mentioned that DeepSeek proved to be the worst AI model in their tests when it comes to generating extremely disturbing information such as the creation of bioweapons.
Just over a week ago, researchers at Cisco also tested it against jailbreaking tools across six different categories. And it failed to block every single attack. In another round of tests by Qualys, the AI could only muster a 47% jailbreak pass rate.
Additionally, then there are the concerns about leaking sensitive data and. Sharing it without any restraint. Cybersecurity researchers at Wiz in recent times discovered over a million lines of chat history containing sensitive information that was publicly accessible.
DeepSeek plugged the flaw, but. Its commercial uptake remains a topic of hot debate. In the US, NASA has already banned employees from using DeepSeek, and so has the US Navy. Moreover, a bill seeking a DeepSeek ban on federal devices is also on the table.
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Want YouTube Premium features for free? This app makes it happen

Youtube has been trying to push people toward Premium for a while now, dangling all kinds of benefits ranging from ad-free viewing to extra functions like downloading videos for offline playback and playing videos in the background while using other apps.
That all sounds nice. But some people are never going to pay to remove ads on YouTube. Lots of valid reasons for that, including the fact that Google likes to quietly hike up prices — so much so that YouTube Premium currently costs $ per month (or $ for a family plan that supports up to five family members). In this economy? No thanks.
One possible alternative is YouTube Premium Lite, which is far cheaper for the extra functions but still has ads. But Premium Lite isn’t yet available in the United States and many other countries. In that case, what else can you do? Well… you’d be surprised.
Turns out, you can unlock the premium capabilities of YouTube without paying for a subscription — in a way that’s free and. Legal. It’s all made possible by a free Android app called NewPipe, which you can simply download on GitHub (or on the alternative app store F-Droid).
NewPipe has everything that YouTube Premium has, which means you can watch YouTube videos without ads, download for offline playback, minimize and keep playing in the background, watch with your screen locked. And more.
In addition, NewPipe is a good option if you care about data privacy, as the app doesn’t use Google APIs and only saves the data you want offline on your device. That makes it lightweight and faster, too.
Battery consumption is also lower than with the official YouTube app, plus all the details you normally see (like comments, likes. Descriptions, etc.) are displayed as usual. There are no compromises here.
The look of the NewPipe app is also somewhat simpler than normal YouTube. But that’s purely a matter of taste. Some might even prefer the “tidier” experience on top of all the premium capabilities for free.
Apart from that, NewPipe also offers some of its own special attributes. Like data sharing with other devices. Even if you don’t care for YouTube’s premium attributes, these might be unique selling points to themselves.
NewPipe is essentially just a pure media player app that lets you access services like YouTube and. Soundcloud without logging into your own accounts. It streams data from those services, either via APIs or scraping, and presents it to you. It’s completely legal to use.
The app doesn’t interface with Google’s API, which is why it can’t be listed in the Google Play Store. However, it’s very easy to download via GitHub or F-Droid if you have an Android device.
That unveiled, even if the app isn’t technically illegal. It’s certainlyl a thorn in Google’s side. The enterprise may occasionally try to block YouTube alternatives like NewPipe, but open-source apps like this usually come back under different names and start working again.
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Market Impact Analysis
Market Growth Trend
2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 |
---|---|---|---|---|---|---|
4.9% | 5.9% | 6.2% | 6.9% | 7.3% | 7.5% | 7.6% |
Quarterly Growth Rate
Q1 2024 | Q2 2024 | Q3 2024 | Q4 2024 |
---|---|---|---|
6.9% | 7.2% | 7.4% | 7.6% |
Market Segments and Growth Drivers
Segment | Market Share | Growth Rate |
---|---|---|
Semiconductors | 35% | 9.3% |
Consumer Electronics | 29% | 6.2% |
Enterprise Hardware | 22% | 5.8% |
Networking Equipment | 9% | 7.9% |
Other Hardware | 5% | 5.3% |
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity:
Competitive Landscape Analysis
Company | Market Share |
---|---|
Apple | 18.7% |
Samsung | 16.4% |
Intel | 12.9% |
NVIDIA | 9.8% |
AMD | 7.3% |
Future Outlook and Predictions
The Tracking Cookie Farm 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 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:
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.