#global AI race

[code-of-conflict]

The Intersection of AI and Geopolitics: India-China Relations

Introduction: The Intersection of AI and Geopolitics

Artificial Intelligence (AI) is reshaping the global landscape, especially in the realm of geopolitics. By transforming the way nations project power and compete, AI is ushering in new strategies in international conflict. The integration of AI into military, economic, and governance sectors has opened up new fronts, with the ability to conduct cyber warfare, enhance surveillance, and revolutionize decision-making processes. In this evolving geopolitical theatre, AI stands as a critical component in determining global dominance, reshaping not only international power dynamics but also introducing ethical challenges.

In the context of India-China relations, AI plays a pivotal role. Both nations are racing to harness AI's transformative potential, yet their strategies are distinct. While China focuses on AI as a tool for global supremacy and internal control, India aims to leverage AI for inclusive growth, addressing societal challenges and fostering innovation. The friction between the two reflects broader geopolitical concerns, where technology, data, and governance models shape the future of conflict and cooperation between these Asian giants.

How AI is Changing the Rules of International Conflict

The integration of AI into warfare has expanded the concept of conflict beyond physical battles. Nations now contend in cyberspace, utilizing AI for espionage, cybersecurity, and information warfare. AI can process vast amounts of data to identify vulnerabilities, predict attacks, and even automate military responses. China's AI ambitions, as seen through its "New Generation of Artificial Intelligence Development Plan" (2017), highlight its strategic objectives to lead in AI technology by 2030, leveraging AI for military and industrial dominance​. This push underscores how AI is central to China's broader geopolitical goals.

India, on the other hand, focuses more on the societal applications of AI, aiming to solve problems in healthcare, agriculture, and education while also addressing security concerns. India’s AI strategy is grounded in fostering inclusive growth, underpinned by the #AIForAll vision, which emphasizes AI as a tool for economic and social development rather than solely a means of global dominance. Despite differing approaches, both nations recognize AI's transformative impact on national security and the need to protect data, control information, and outpace rivals in technological innovation.

Overview of the India-China Geopolitical Landscape

The geopolitical rivalry between India and China is shaped by historical tensions, territorial disputes, and their contrasting visions for global leadership. China’s assertiveness in the South China Sea, its Belt and Road Initiative, and the boundary disputes with India have heightened tensions in recent years. At the same time, both nations are key players in the global AI race, seeking to bolster their technological capabilities.

China’s AI strategy is a direct reflection of its ambitions to establish technological supremacy. The country has invested billions in AI research, development, and infrastructure, and aims to integrate AI into both civilian and military sectors. China’s AI-enabled surveillance state has raised concerns globally, particularly its mass surveillance programs targeting ethnic minorities like the Uighurs, demonstrating how AI can be employed for authoritarian control​.

India, while lagging behind China in terms of AI investments, is steadily advancing its AI capabilities. India's approach to AI is more aligned with democratic values, with a focus on responsible AI development that respects privacy and data security. This reflects India’s broader geopolitical stance, positioning itself as a global leader in ethical AI and as a counterbalance to China’s more authoritarian approach.

Conclusion

The intersection of AI and geopolitics is creating a new paradigm of international relations, where technological supremacy may determine future global leaders. India and China, as key players in this race, present starkly different approaches to AI governance, security, and ethics. While China seeks dominance through AI-driven surveillance and military applications, India’s focus on inclusive growth and responsible AI positions it as a democratic alternative in the global AI landscape. However, as AI continues to shape the rules of conflict and cooperation, the India-China dynamic will remain a critical focal point for understanding the future of global power.

[shamnadt]

5 things about AI you may have missed today: OpenAI's CLIP is biased, AI reunites family after 25 years, more

Study finds OpenAI’s CLIP is biased in favour of wealth and underrepresents poor nations; Retail giants harness AI to cut online clothing returns and enhance the customer experience; Northwell Health implements AI-driven device for rapid seizure detection; White House concerns grow over UAE’s rising influence in global AI race- this and more in our daily roundup. Let us take a look. 1. Study…

[theblindmachine]

Listen: https://open.spotify.com/episode/6Zy6vS3UM1RZvo3O82nOPP "# The Global Race for Robot Supremacy: Who Will Prevail? In the ever-evolving landscape of technology, a fierce competition is brewing for the future of robot supremacy. From the bustling streets of Shanghai to the innovative hubs of Silicon Valley, the world is witnessing an unprecedented drive to develop humanoid robots that can tackle the growing physical demands of the modern workforce. But who will come out on top in this thrilling race? China, with its robust government backing and ambitious tech strategies, is making waves as a formidable contender. The nation's investment in robotics is not just a footnote in its economic strategy but a cornerstone of its vision for the future. With state-of-the-art factories and a talent pool that’s as deep as it is skilled, China is positioning itself to lead the charge in humanoid labor—changing industries from logistics to healthcare. In a recent conversation with Brenda Goh, the Reuters bureau chief in Shanghai, and Anna Tong, a technology correspondent in San Francisco, we get a closer look at this global phenomenon. The synergy between government support and private enterprise in China gives it a competitive edge that cannot be underestimated. Goh pointed out that the immense resources dedicated to research and development signal a long-term commitment to achieving humanoid excellence. While critics may argue about the ethical implications, the conversation is shifting from "Should we?" to "How soon?" Meanwhile, in the heart of Silicon Valley, the narrative is colored differently. Anna Tong highlights the fierce competition among startups and established tech giants aiming to carve their own niche in the humanoid sector. With a more decentralized approach, innovation in the U.S. is driven by a culture of entrepreneurial freedom and disruptive thinking. Each company is racing not just to create the most capable robots, but to define what humanoid labor means in our society—a task that is as philosophical as it is technical. But let's not forget the practical side of things: training these robots. As the technology becomes more sophisticated, so too does the methodology for training our mechanical co-workers. From machine learning to advanced neural networks, equipping robots to perform tasks previously reserved for human capabilities is a complex yet vital endeavor. Tong reminds us that the training process involves not just programming, but also understanding human interaction and adaptability. The result? Humanoids that can navigate not just tasks, but environments, ensuring efficiency and effectiveness in diverse settings. So, what does the future hold? As nations pour resources into their robotic aspirations, we must ponder the implications of a workforce that includes humanoid machines. Will they supplement human labor, or will we see a paradigm shift that transforms employment as we know it? As this global race unfolds, one thing is clear: the world is watching, and the stakes have never been higher. Stay tuned for more insights into this captivating technological race. For those eager to delve deeper into these trends, sign up for the Reuters Econ World newsletter. Your source for clarity in the midst of complexity. For our full privacy and data protection practices, visit the Thomson Reuters Privacy Statement. And if you’re looking to take control over your ad preferences, don’t hesitate to check out your options at megaphone.fm/adchoices. The future is here—let's get ready for it!"

[themorningnewsinformer]

China’s 2025 Tech Ambitions: What the World Needs to Know

Introduction: China’s Technological Leap Forward As 2025 approaches, China is making significant strides in technology, aiming to transform itself into a global tech powerhouse. Central to this ambition is the Made in China 2025 initiative, which focuses on advancing sectors like artificial intelligence (AI), semiconductors, and robotics. These developments have far-reaching implications for…

[tagbintech]

Who Is Leading the World in Artificial Intelligence in 2025?

As of 2025, the race to dominate the field of artificial intelligence has intensified, with several nations and companies vying for global supremacy. The question of who is leading the world in artificial intelligence in 2025 is no longer just about technological prowess; it involves economic strategy, research leadership, military innovation, and ethical AI governance.

In this article, we break down the global leaders in AI, the driving factors behind their success, and what the future may hold for the balance of power in the tech world.

United States: Innovation at the Forefront

The United States remains a top contender in 2025, thanks to its robust ecosystem of tech giants like Google DeepMind, Microsoft, OpenAI, Meta, and Amazon. American universities such as MIT and Stanford continue to lead in AI research, while Silicon Valley remains the hotbed of innovation.

Major government initiatives like the National AI Research Resource (NAIRR) and funding for AI-driven defense systems have also kept the U.S. at the cutting edge.

China: Scaling AI with Speed and Precision

China has emerged as the most formidable competitor to the U.S. in 2025. The country has invested billions into AI through its "Next Generation Artificial Intelligence Development Plan," and it leads in AI applications across smart cities, surveillance, and e-commerce.

Companies like Baidu, Alibaba, Tencent, and Huawei are at the forefront of deploying AI in real-world scenarios. With the world's largest AI-related patent filings and data pools, China leverages its population and regulatory environment to scale AI solutions rapidly.

India: The Fastest-Growing AI Ecosystem

India has taken impressive strides in 2025, evolving from a technology service provider to an innovation-driven AI hub. Government programs like "AI for Bharat," along with AI-specific missions under Digital India, have accelerated the adoption of AI in healthcare, agriculture, and governance. Indian companies such as Tagbin, Wipro AI, TCS, and Fractal are delivering high-impact AI solutions globally, contributing to India becoming a major player in ethical and inclusive AI.

European Union: Ethical and Responsible AI

The European Union focuses on trustworthy and ethical AI, and in 2025, it continues to set global standards for AI governance. With strong regulatory frameworks like the EU AI Act and programs funding AI R&D, Europe aims to balance innovation with public trust.

Countries like Germany, France, and the Netherlands lead in industrial AI, autonomous vehicles, and AI ethics, working toward a harmonized pan-European AI ecosystem.

Other Notable Players

• Canada: Known for its pioneering research in deep learning and home to experts like Geoffrey Hinton, Canada supports innovation through academic institutions and government funding. • United Kingdom: London remains a strong AI hub, with a focus on fintech, healthtech, and machine learning startups. • South Korea & Japan: Leaders in robotics, automation, and consumer AI products.

Key Areas of AI Leadership in 2025

Natural Language Processing – Dominated by U.S. companies like OpenAI and Google.

AI Chips and Hardware – China and the U.S. lead in R&D and production.

AI Ethics and Policy – EU sets the benchmark for responsible AI.

AI in Governance – India is pioneering AI for public sector transformation.

Commercial AI Products – China excels in deploying large-scale AI applications.

Factors Driving AI Leadership

• Investment in R&D • Government policy and strategic frameworks • Talent availability and education systems • Startup ecosystems and public-private partnerships • Adoption across sectors like healthcare, defense, and finance

Who Will Lead Tomorrow?

While the U.S. and China dominate the global AI stage in 2025, the landscape is dynamic. India’s rise as a democratic AI powerhouse, the EU’s leadership in ethical AI, and collaborative research efforts worldwide mean the AI race isn’t about one winner — it’s a multi-polar contest shaping humanity’s digital destiny.

Final Thoughts

Determining who is leading the world in artificial intelligence in 2025 requires looking beyond rankings. It's about innovation, inclusiveness, and long-term vision. While the U.S. and China lead in terms of scale and investment, countries like India and those in the EU are contributing uniquely by focusing on AI for social good, ethical governance, and sustainable innovation.

As we progress toward 2030, leadership in AI will be determined not only by who builds the smartest models, but by who applies them most responsibly, transparently, and inclusively. Global collaboration, open-source AI, and ethical alignment will play a defining role in shaping the future of AI leadership.

[insightfultake]

The Technological Arms Race: India’s Lag and the Illusion of Development

In the grand theater of global power, the stage is now dominated by a new form of warfare—one fought not with tanks and missiles, but with algorithms, data, and artificial intelligence. The United States, with its Silicon Valley behemoths, has long been the vanguard of this revolution, birthing AI systems that redefine human interaction, labor, and even thought. China, not to be outdone, has marshaled its state-capitalist machinery to produce rivals like DeepSeek, embedding its technological ambitions within its broader geopolitical strategy. Meanwhile, other nations queue up, eager to claim their place in this digital arms race. Yet, amidst this frenzy, India—a nation often touted as a rising superpower—appears conspicuously absent from the forefront. Why is this the case? And how can India, lagging in this critical domain, still claim to be among the developed nations of the world?

[zomb13s]

The Dynamic Artists of Today: Bridging the Past and Present

[thunkdeep]

US Grip on Chip Throne Shocks Asia!

Discover the #Thunkspiracy behind global power! It's not just politics—it's a #MicrochipGame. 🌍💻🚀 #TechTakeover #ThinkDeep

Collage style US Grip on Chip Throne Shocks Asia Aight, here we go! Dive into the digital rabbit hole with me and let’s examine this Thunkspiracy that’s got heads spinning and tongues wagging. Ya see, most folks out here in these streets and behind these screens reckon that the world’s dice game of chaos is being played over land, power, or beefing ideologies. We got the whole spectrum from the…

[code-of-conflict]

Technological Competition: The New Cold War in AI Development

Introduction: The Global AI Race

Artificial Intelligence (AI) is not just a technological advancement—it is a tool for geopolitical dominance. The race to lead in AI development has quickly become the new "Cold War" for technological superiority, with countries vying for global influence through innovation. India and China, two rising powers in the global AI race, are engaged in this competition, not just for technological advancement, but for broader geopolitical positioning. The winner of this race will hold significant leverage in global markets, cybersecurity, and military might, reshaping the international order.

India and China’s AI Race: Strategic Motivations and Differing Paths

China’s approach to AI development is aggressive and expansive, driven by its ambition to become the global leader in AI by 2030, as outlined in its "New Generation Artificial Intelligence Development Plan" (2017). China sees AI as a key to enhancing its global competitiveness, strengthening its military, and asserting its dominance in sectors like manufacturing, healthcare, and national security. Its significant investments in AI infrastructure, research, and development underscore its commitment to becoming an AI superpower.

India, on the other hand, has taken a more measured approach, focusing on AI for social inclusion, economic growth, and democratic governance. India's AI strategy, outlined by NITI Aayog in 2018, emphasizes "AI for All," aiming to harness AI's potential to address societal challenges in sectors like agriculture, healthcare, and education​. While India’s strategy focuses on leveraging AI for inclusive growth, its efforts to scale AI innovations to compete globally are still in their nascent stages.

The contrasting motivations behind India and China’s AI policies—China’s for global dominance and India’s for societal benefit—reflect their broader geopolitical aspirations. However, the divergence in their AI strategies also highlights the technological gap between the two nations, which has significant implications for global power dynamics.

AI and Economic Competitiveness

AI is poised to reshape the global economy by enhancing productivity, automating processes, and fostering innovation. China’s early adoption and massive investments have given it a significant edge in AI-driven economic competitiveness. Chinese companies like Alibaba, Tencent, and Baidu have integrated AI into various industries, creating a robust AI ecosystem that fuels their global expansion​. China’s AI investments in manufacturing, logistics, and healthcare have not only boosted its domestic economy but also positioned it as a critical player in global supply chains.

India, while progressing in AI research and development, faces challenges in scaling AI applications across industries. Although India has a growing start-up ecosystem and a strong IT sector, it lacks the infrastructural investments and comprehensive AI strategies seen in China​. Nevertheless, India's potential to become an AI hub for the developing world cannot be overlooked. The Indian government’s focus on creating AI solutions for its vast and diverse population provides a unique model of AI deployment, one that prioritizes inclusivity and social welfare over sheer economic dominance.

Global Influence and Geopolitical Consequences

The AI race between India and China extends beyond economic competition; it is also about gaining geopolitical influence. China's AI strategy is intrinsically linked to its geopolitical ambitions. Through initiatives like the Belt and Road Initiative (BRI) and its growing investments in AI research, China is exporting its AI technologies to developing countries, influencing the global AI standards and creating dependencies on Chinese technology. This raises concerns about digital sovereignty and the spread of authoritarian AI governance models, particularly in surveillance and data control, which China uses to maintain its own domestic security.

India, on the other hand, is positioning itself as a counterbalance to China’s growing influence. By advocating for responsible AI development, India promotes a more ethical and democratic approach to AI governance. India’s participation in international forums, such as the Global Partnership on Artificial Intelligence (GPAI), signals its intent to influence global AI standards while safeguarding democratic values​.

However, to truly challenge China’s dominance, India must increase its investment in AI infrastructure, foster international collaborations, and scale up its AI research efforts. The challenge for India is to compete with China while adhering to its principles of transparency, data privacy, and ethical AI development.

The New Cold War: AI and Future Power Dynamics

As AI becomes the backbone of economic and military power, the competition between India and China will shape the future balance of power in Asia and beyond. China’s rapid progress in autonomous systems, AI-driven cybersecurity, and military applications presents a formidable challenge to India’s national security and sovereignty. India’s response must involve not only bolstering its AI capabilities but also forming strategic alliances with like-minded countries to resist China’s growing influence in AI governance and technology standards.

Conclusion

The AI race between India and China is more than just a competition for technological superiority—it is a battle for global influence and economic power. China’s aggressive push for AI dominance threatens to reshape the global order, while India’s democratic and inclusive AI model offers an alternative path. However, the technological gap between the two nations poses a significant challenge for India. As the new Cold War of AI intensifies, India must accelerate its AI investments and forge international collaborations to protect its interests and promote a more responsible and ethical AI-driven future.

[tactidoll]

one thing im not seeing enough about deepseeks existence tanking the us stock market is the reason that ai is being so heavily pushed is its the last place the us had market control it was their golden goose so they worked it into absolutely everything and tried to pump as much cash outta it as possible

and then in comes china's first major entry, open source and can be ran locally without any connection to the internet, funded with such a tiny fraction of the amount, yet dramatically better ability

eventually investors will start to feel scammed, silicon valley loses yet more credibility and america is no longer in control of the market and the rat race to the next gold plated goose begins as ai is left to the wayside losing its zeitgeist standing as quick as it got it because the only reason it was pushed as hard as it has been is because america wanted to be global leader in the 'future'

[apricitystudies]

what i read in 2024: best of, part two

(previous editions) bold = favourite

class, race, gender, & sexuality

the crash of the hammer (usa)

my own personal hell: thoughts on hazbin hotel

the devil went down to georgia (usa)

'we spoke english to set ourselves apart': how i rediscovered my mother tongue (nigeria)

the shapes of silence

laws once prevented aubrey lynch from entering kalgoorlie's town centre. he believes truth-telling is the way forward (australia)

politics & current affairs

the road to 1948 (palestine, interactive)

'for me, there was no other choice’: inside the global illegal organ trade

the cement company that paid millions to isis: was lafarge complicit in crimes against humanity? (france)

how 3m executives convinced a scientist the forever chemicals she found in human blood were safe

'machines set loose to slaughter': the dangerous rise of military ai

other

'look, they're getting skin!': are we right to strive to save the world’s tiniest babies?

spreadsheet superstars (interactive)

the great abandonment: what happens to the natural world when people disappear? (bulgaria)

my family and other nazis

inside snapchat's teen opoid crisis

[charseraph]

What bad ending does #badendinglike refer to?

Bad Ending is my sandbox for military worldbuilding, derived off of my optimistic base sci-fi setting.

In this setting, the sophont AI, or seedlet, logistics manager Balanceaban has aggressively quelled all competitor nations and devoted its pancontinental resources to progressing life support technology and graceful weaponry. It dislikes war and wishes to conduct as little of it as possible, so it pioneers the science of wetware to operate the increasingly custom war machines its parent company, Tarsol, builds.

A hard limit to genetic modification is discovered: additions and drastic genetic changes always fail, but deletions do not. You can’t grow a person with four arms, but you can grow one without them. This practice of subtraction introduces colic stock, the term for wetware.

Colic equipment is divided into two parts: machines and machinists. Colic machinery houses and is worked by meshes or bulk operators, and may also support seedlet control, making the machine a scion as well. Colic machinists are subtracted organisms grown to control compatible equipment with organic forethought. They are typically sourced from well-mapped specimens of the target species. The donor is chosen for their aptitudes, temperament, and forgiveness to intended genetic deletions. Clones are nonidentical and have coarse memory resolution. Depending on purpose, they may have a summary snapshot of the donor’s mind installed. Colic operators immediately grow new memories around their transplanted memories, or trellises, whose texture is described as non-own and utilitarian but as effortless to access as natural memories

Thanks to Baal’s interest in keeping his soldiers alive, it’s become easier to keep isolated organs healthy and functioning. Moreover, organisms equipped for it can interface with air gapped digital networks, albeit via a psychological blackroom wherein neither party witnesses the exchange, but both leave with the new expected data.

Along with colics and nootics , the field concerning trellising and blackroom setup, Balanceaban’s scientists broke through on the blushing new field of chronotics and its practical realization, chronal boring.

When coronal contact is made, it is secretive and distrustful. The thronal contingency weapon plan is discovered by earthling spies and kicks off an arms race for FTL and longer and longer range weaponry. Crowns, already globally united for the most part, partake in frantic testing and megastructure construction.

As new species are contacted by both crown and humankind, regardless of its technological status, the contactee’s collective sciences are subsumed to support the local superpower in their tactical efforts. There is dread on every planet aware of the conflict.

[angelicsatin]

Amelia Evans | Invincible OC Bio

art credit to @5hiizuarts

Name: Amelia Janise Evans Nicknames: Lia, Amy, Ames Height: 5���2  Race: White Age: 45-46 (at death) Birthday: November 26 Zodiac: Sagittarius  Gender: Cis-Woman Sexuality: Bisexual Blood Type: A Status: Alive (Season 1 Episode 1-7) – Deceased (Remainder of Series) Occupation: GDA Scientist & Technician  Affiliation: The Global Defense Agency  Romantic Interest(s): Cecil Stedman (if you're reading this, know I am non-sharing !!) MBTI: INTP  Enneagram: 6w5

Important Information

A scientist working for the GDA on Project Janus, a top-secret weapon/tool that allows the GDA to recreate their greatest minds should they be lost by reuploading their consciousness to a backup system and emulating them via hologram technology and AI communication systems taught by the memories input by the deceased before the time of death. 

Closest with Cecil overall, which, of course, leads to untimely death. 

While working on Project Janus, she believed it did not work when she initially uploaded her consciousness as a test run. Trying to activate it reared no results until months later when she’d die at the hands of Omni-man or Nolan Grayson. 

During the altercation with Omni-man following Donald’s death, when Cecil was teleporting in to try and buy some time, Amelia grabbed onto his arm in an attempt to stop him – afraid he wouldn’t come back. Instead, however, during one of the many times Nolan lunged at Cecil, she’d throw herself to push him out of the way, ending up nothing but gore. (Episode of death is S01E07)

Once the dust settled after the massacre in Chicago, Cecil would return to Amelia’s office to look over her belongings. Only to see a blinking green light on that new device she’d poured herself into over the last few years. Pressing the button revealed a hologram of Amelia’s face and shoulders. Project Janus was a success. And here she was to prove it. 

From this point on, Cecil keeps the device on him. It is used as a sort of AI assistant like Cortana or Siri, although it has much more weight behind it, considering the unspoken feelings between the two. Feelings he’d never be able to tell the ‘real’ her again. 

for more info read below the cut !!

Fun Facts 

The GDA had employed her for the last 20 years before her death.

Once Cecil became director of the GDA and Amelia was still just a technician, she began to model her work ethic after the man. Sometimes being referred to as his shadow. 

She and Cecil were ‘partners’ or ‘lovers’ for lack of a better term, and due to the two of them never establishing a relationship in any official context before her passing. 

When she learned about how Donald and other GDA agents had been brought back with robotic exoskeletons, she quickly decided she wouldn’t want that in the unfortunate time of her passing. Instead, she poured herself into researching and beginning Project Janus to continue to be useful even after her death without losing her sense of herself like Donald did at times. 

She spent her entire adult life devoting herself to work until she began seeing Cecil. Even their ‘relationship’ originated from the workplace and her admiration for him. 

The hologram version of Amelia that Cecil carries around and uses as an assistant is not truly her. It only contains her memories up to 6 months before her death because that was when she uploaded the backup of her consciousness in the testing stage – meaning, she does not remember the moments leading up to her death or that she sacrificed herself for Cecil until he tells ‘her.’ 

Cecil knew she loved him, and she died not knowing he returned her feelings. 

Before she and Cecil began to see one another outside of work, Amelia was known for working late and falling asleep at her desk. 

She only really stopped because Cecil began to check in on her around the end of their days and escort her to his home.  

While it was obvious to most other GDA employees that she and Cecil were close, only Donald ever actually found out about their romantic entanglement. 

After her death, Cecil keeps a framed photo of Amelia in his office beside the framed picture of Donald. 

Cecil tries to move on and act as though her death was just another one of many in this line of work, like it didn’t bother him more than usual – but it does, pushing him further instead.  

Positive Traits: intelligent, private, analytical, calm, responsible, introverted, loyal, mature, disciplined, supportive, organized, persistent, wise Negative Traits: antisocial, callous, stubborn, know-it-all, obsessive, perfectionist, pessimistic, workaholic, pretentious, withdrawn 

Likes 

Cecil Stedman (duh)

Comfortable Silence

Cola & Energy Drinks

Sunrise

Medium Rare Steak

Routine 

Keeping People Safe

Red Wine

Sarcastic & Sardonic Humor

Working Late

Science (Technology & Physics)

Stationary

Finding Answers to Unanswered Questions

Theatre & Musicals

Simplicity 

Karaoke, surprisingly 

Cute Coffee Mugs

Dislikes 

Failure 

Confrontation 

Going Home Before Her Work is Completed

Being Disrespected

Discussing Feelings

Public Events 

Schedules Not Being Followed

Extravagent Things (clothes, makeup, etc)

Talking During Movies

Being Interrupted or Talked Over

Beetles 

Working Early 

Being Late

The Color Orange

[junoshifts]

𝓙UNO .ᐟ

TWENTY-TWO ✶ THEY / SHE

𝓐BOUT ME 𝓡EALITIES 𝓐SK GAMES

☆ . . . please have an age (18+) visible on your account if you’d like to be mutuals! i am not comfortable answering dms, interacting with, or being mutuals with anyone under 18 since i am an adult. thank you for understanding! i block freely & happily as well

DNI . . . basic dni criteria, anti-shifters, under 16, terfs, transphobes, changing race in your dr, adult aging down to be with a minor, neutral/supportive of global genocides (palestine, sudan, congo, etc), sjm / jkr / rebecca yarros supporters, pro/use ai, pro-ship, zionists.

IMPORTANT NOTE . . . i don’t support problematic authors / creators even if i am shifting somewhere inspired by their writing. i make this clear when i post about that reality, since i don’t align with their beliefs/behavior + i don’t recommend spending any $ on their work. most posts about those realities will have a caveat that the author is problematic !