WhatsApp’s upcoming translation tool is a boon for non-obvious reasons - Related to summit:, increase, modi, action, translation
How to increase Happiness in Civilization 7

Civilization 7 is a game full of various currencies and mechanics that you need to manage all at once. Even with the best tips and tricks to help you out, knowing how to keep all your plates spinning is a major learning curve with new additions like Ages and Influence to keep in mind. Happiness is back from Civilization 5, but reworked and influenced by different things. If your population gets too unhappy, you will be hit with many debuffs that could cost you the game. Here are the ways you can be a great Leader and keep all your people happy in Civilization 7.
Happiness is one of the primary resources attached to all your towns and cities alongside food, gold, and Influence. It behaves more like gold than anything else because there are things you will do that cost Happiness, but also ways in which you can generate more. The key is to always produce more Happiness than you spend.
There are multiple settlements that give you Happiness, which you will see when expanding any town or city on the map by the smiley face icon. Beyond those, building things like Wonders and researching civics or traditions can also give you a buff to Happiness. You lose Happiness by building certain other structures. You can see when highlighting any new construction how much Happiness it will cost to make (if any). Also, placing new advisors on a tile will cost some Happiness every turn. Keep in mind that it is your total Happiness that is most key. You can have one town or city that is in the negative, but if you have another that is producing enough to keep you in the positive, you are in the clear. It could be wise to dedicate one or more cities to generating a ton of Happiness so others can sacrifice it in favor of other resources.
If you keep your Happiness up, you will eventually be rewarded with a celebration that lets you pick between two temporary perks to things like science or building speeds. On the other hand, falling into negative Happiness will give you a debuff called the Consequences of Unhappiness.
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WhatsApp’s upcoming translation tool is a boon for non-obvious reasons

Table of Contents Table of Contents How WhatsApp can change the game? This can’t come sooner.
WhatApp might soon automatically detect and translate your text messages. If Meta’s recent AI work is anything to go by, voice and video translations shouldn’t be too far off. On the surface, it might seem like a simple translation tool, but there’s more to it than meets the eye.
Just over a year ago, I reported on an app by the Indian government that is used to record attendance and pay over 150 million daily wage workers, who make as little as three dollars per day. Amid problems such as a laggy UI, poor internet connection, and lack of digital literacy, language emerged as a massive barrier in my interviews with these workers, who often travel hundreds of miles to seek work.
For a country with 22 nationally recognized languages and over 100 languages spoken at scale, the lack of proper translation means the underprivileged and the poorest are often at a crippling disadvantage. Official government communication, or those from banking agencies, doesn’t always come in local languages, even though the wires of digital connectivity are now interwoven between half a billion Indians through WhatsApp.
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I get alerts from my bank and Amazon as well as milk-delivery and voter ID updates on WhatsApp, just to give you a rough idea. It’s almost surprising, that despite working on open-source translation model projects such as No Language Left Behind (NLLB), Meta didn’t pay any attention to the critical importance of languages on one of its biggest platforms. Late in January, Meta stated it plans to invest a whopping $60 billion in AI development this year, which makes the oversight seem even more perplexing.
I am not a fan of the enterprise’s Meta AI stack, but I do appreciate the utility I get from AI tools such as automatic transcription for voice notes. It seems Meta is finally turning its hands towards the more practical side of “all things AI,” starting with WhatsApp.
The messaging app, which commands nearly three billion customers, might soon get an automatic language translation system for chats. The code sleuths at WABetaInfo have spotted pre-release assets for the translation system in WhatsApp, which apparently follows a similar format as Google Translate and its language bundles.
As per the enhancement tracker, consumers will have to download a dataset worth 24MB in size, which allows the app to automatically detect a language. Once there, they can pick any language of their choice from a scrolling list and install the language bundle to automatically translate all of their WhatsApp chats.
This is a fantastic addition, especially for countries like India, where digital literacy woes have left people at the mercy of scammers. Similar patterns can be witnessed across the rest of Asia and Africa. English, as the default language, often comes associated with an intimidating social capital, which only makes its weaponization even more effective by bad actors targeting the most vulnerable people with fewer digital skills.
Fake government cyber agency letters — written in English and mostly circulated via WhatsApp — have tricked a lot of people in the past few years in India. Many lost a lifetime’s worth of funds. I’ve personally received such a letter on WhatsApp, but conveniently ignored it because there were tell-tale signs of fraud. I, however, attribute that to my digital skills due to a journalism career.
A lot of people can’t sense the scam, and fall for it.
Automatic translations in WhatsApp may not solve the whole problem, but at least an average person will be able to see and comprehend what is being asked of them. Of course, it will make group chats far more exciting, especially in the multilingual pool of friends.
I still know a lot of people who hand their phone to another person, so that they can read aloud the WhatsApp message they received from their friends and family members. I did this for my grandfather not too long ago. I often see people conversing solely via WhatsApp voice notes because they can’t type or don’t understand English.
It is unclear when exactly Meta will push its automatic language translation system in WhatsApp. But its arrival in the beta channel is a sign that the business is at least considering it to a substantial extent. I am hoping that when it eventually arrives, the business goes on a marketing blitz so that more people can take advantage of this perk.
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India To Host Next AI Action Summit: PM Modi

The summit also saw the adoption of the Paris charter, which pitched for open-source models and accountability across every step of AI design, development, and deployment.
PM stated that there was a need for collective global efforts to establish governance and standards for AI, which uphold shared values, address risks and build trust.
Noting that the world was witnessing the dawn of the AI age, PM Modi presented that the emerging technology was re-shaping global polity, economy, security and society.
Taking over the mantle from France, India will host the next artificial intelligence (AI) Action Summit.
In a statement, the Ministry of External Affairs presented that Prime Minister (PM) Narendra Modi presented the plans in his speech on Tuesday (February 11). The French presidency also reportedly confirmed the development.
PM Modi co-chaired the week-long 2025 summit along with President of France, Emmanuel Macron. The event saw global leaders, policymakers, and industry experts descend upon Paris to deliberate the future course of action in the space of AI.
At the mega event, the Indian PM delivered the opening address as the co-chair of the summit. Noting that the world was witnessing the dawn of the AI age, PM Modi expressed that the emerging technology was fast writing the code for humanity and re-shaping global polity, economy, security and society.
While underlining the “amazing” positive potential of AI, PM Modi did not shy away from flagging issues plaguing existing foundational AI models. To prove his points, he cited an example.
“If you upload your medical investigation to an AI app, it can explain in simple language, free of any jargon, what it means for your health. But, if you ask the same app to draw an image of someone writing with their Left hand, the app will most likely draw someone writing with their Right hand. Because that is what the training data is dominated by,” he noted while flagging biases in AI models.
He went on to say that there was a need for collective global efforts to establish governance and standards for AI, which uphold shared values, address risks and build trust. While highlighting that AI was being developed and deployed at an unprecedented scale and speed, PM Modi added that AI governance standards should be intertwined with innovation and deploying such technologies for the global good.
Not stopping there, PM Modi also called for equitable distribution of resources to spur AI innovation globally, especially in the Global South.
“Governance is also about ensuring access to all, especially in the Global South. It is where the capacities are most lacking – be it compute power, talent, data, or the financial resources,” PM Modi added.
Another facet that he touched upon was global collaboration on the AI front. PM Modi presented that the world must pool together its resources and talent in the AI space to achieve sustainable development goals (SDGs).
Another key takeaway from the PM’s speech was his focus on “open” systems. He expressed that it was imperative to build open-source systems which enhance trust and transparency, which can help democratise technology and create people-centric applications.
He also underscored the need for creating quality data sets that are free from biases, adding that AI technologies should be rooted in local ecosystems to be effective and useful.
“We are developing AI applications for public good. We have one of the world’s largest AI talent pools. India is building its own Large Language Model considering our diversity. We also have a unique public-private partnership model for pooling resources like compute power. It is made available to our startups and researchers at an affordable cost. And, India is ready to share its experience and expertise to ensure that the AI future is for Good, and for All,” added PM Modi.
He also unveiled that it was the need of the hour to address concerns related to cyber security, disinformation, and deep fakes.
On apprehensions of job losses due to AI, PM Modi shared, “Loss of jobs is AI’s most feared disruption. But, history has shown that work does not disappear due to technology. Its nature changes and new types of jobs are created. We need to invest in skilling and re-skilling our people for an AI-driven future”.
Not stopping there, the Prime Minister also unveiled that it was imperative to ensure that “green power” fuels the “high energy intensity” of the AI sector. “Sustainable AI does not only mean using clean energy. AI models must also be efficient and sustainable in size, data needs and resource requirements,” added Modi.
The summit also adopted the Paris Charter on AI in “public interest”. Endorsed by India, Germany, Kenya, Switzerland and six other nations, the countries agreed on the following principles:
A resilient ecosystem is needed to support the development of open models, spanning both standard setting, tooling and best practices.
Accountability across every step of AI design, development, and deployment.
Participation and transparency are prerequisites for democratic governance in AI in the public interest.
The AI Action Summit in Paris was the third in the series of meetings focussed on AI. Previous such events were held in the UK in 2023 and South Korea in 2024. The first such summit was held in Bletchley Park and focussed on the safety of ‘frontier AI models’ and the emerging risks of AI.
The second meeting was held in Seoul and discussed multilateral collaboration on AI risk management through a network of AI safety institutes (AISIs).
That expressed, India’s proactive pitch at the Paris event echoes the country’s similar stance on AI during its G20 presidency in 2023. Under India’s presidency, the G20 endorsed a “pro-innovation regulatory/governance approach” to balance AI innovation and the need to develop guardrails for AI.
Thereafter, India also hosted the Global Partnership on Artificial Intelligence (GPAI) in 2023, which underscored the need for “equitable access to critical resources for AI research and innovation”.
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Market Impact Analysis
Market Growth Trend
2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 |
---|---|---|---|---|---|---|
12.0% | 14.4% | 15.2% | 16.8% | 17.8% | 18.3% | 18.5% |
Quarterly Growth Rate
Q1 2024 | Q2 2024 | Q3 2024 | Q4 2024 |
---|---|---|---|
16.8% | 17.5% | 18.2% | 18.5% |
Market Segments and Growth Drivers
Segment | Market Share | Growth Rate |
---|---|---|
Digital Transformation | 31% | 22.5% |
IoT Solutions | 24% | 19.8% |
Blockchain | 13% | 24.9% |
AR/VR Applications | 18% | 29.5% |
Other Innovations | 14% | 15.7% |
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity:
Competitive Landscape Analysis
Company | Market Share |
---|---|
Amazon Web Services | 16.3% |
Microsoft Azure | 14.7% |
Google Cloud | 9.8% |
IBM Digital | 8.5% |
Salesforce | 7.9% |
Future Outlook and Predictions
The Increase Happiness Civilization 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 digital innovation 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 digital innovation 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 digital innovation 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.