SKU: 58069332925
pothos plant in kitchen

pothos plant in kitchen 15

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Description

pothos plant in kitchen 15Epipremnum Happy Leaf is a cheerful and elegant tropical vine celebrated for its vibrant variegation and easy care nature. A cultivar of the classic Epipremnum aureum (Pothos), this variety is instantly recognisable for its bright green and creamy white marbled leaves that bring light and freshness to any indoor space. Native to the tropical forests of Southeast Asia, Happy Leaf embodies the lush, cascading beauty that makes Epipremnums such beloved

Epipremnum ‘Happy Leaf’ is a cheerful and elegant tropical vine celebrated for its vibrant variegation and easy-care nature. A cultivar of the classic Epipremnum aureum (Pothos), this variety is instantly recognisable for its bright green and creamy-white marbled leaves that bring light and freshness to any indoor space. Native to the tropical forests of Southeast Asia, ‘Happy Leaf’ embodies the lush, cascading beauty that makes Epipremnums such beloved houseplants.

The heart-shaped leaves of ‘Happy Leaf’ are delicately speckled and streaked with ivory and chartreuse tones, giving each leaf a unique, painterly pattern. Its compact growth habit and glossy foliage make it a wonderful choice for both hanging planters and tabletop displays. As it matures, it develops graceful, trailing vines that can reach impressive lengths, creating a dynamic waterfall of foliage that brightens even the darkest corners.

Joyful, adaptable, and full of character, Epipremnum ‘Happy Leaf’ is an uplifting houseplant that combines timeless beauty with unbeatable simplicity — the perfect “happy medium” for any home or workspace.


Epipremnum ‘Happy Leaf’ – Care Guide

Light

Thrives in bright, indirect light, which enhances the cream and green variegation. It can tolerate medium to low light but may develop greener leaves in shadier spots. Avoid direct sun, which can scorch or fade the foliage. East- or north-facing rooms are ideal.

Watering

Water when the top 2–3 cm of soil feels dry to the touch. Keep the soil lightly moist but not waterlogged. During the growing season (spring and summer), water regularly and reduce slightly in autumn and winter. Ensure the pot has good drainage to prevent root rot — Happy Leaf prefers “a drink and a dry-off.”

Temperature and Humidity

Temperature: Prefers warmth between 18–28 °C and should be kept away from cold drafts or temperatures below 15 °C.
Humidity: Enjoys moderate to high humidity (50–70%) but adapts well to normal indoor conditions. Mist occasionally or place near other plants to create a microclimate of humidity.

Soil and Potting

Use a loose, well-draining mix, such as compost combined with perlite and a little coco coir or orchid bark. This keeps roots aerated while retaining light moisture. Repot every 1–2 years in spring to refresh the soil and allow for continued growth.

Feeding

Feed every 4–6 weeks during spring and summer with a diluted, balanced liquid fertiliser or one formulated for foliage plants. Too much fertiliser can cause leaf tip burn, so always err on the side of less. Pause feeding in autumn and winter.

Pruning and Maintenance

Prune trailing stems to shape the plant and encourage bushier growth. Cuttings can easily be propagated in water or moist soil to create new plants. Wipe the leaves regularly with a soft, damp cloth to maintain their gloss and remove dust.

Growth and Maturity

A fast-growing vine under the right conditions, Epipremnum ‘Happy Leaf’ can reach 1.5–2 metres in length indoors. It can trail gracefully from a hanging pot or climb when supported with a moss pole or trellis. Regular pruning helps maintain a fuller, more compact shape.

Common Issues

  • Yellowing leaves: Overwatering or poor drainage.

  • Pale leaves: Too much direct sun.

  • Loss of variegation: Insufficient light.

  • Pests: Occasionally susceptible to mealybugs or spider mites; treat with neem oil or insecticidal soap.


Background and Benefits

Epipremnum ‘Happy Leaf’ is a cultivar of Epipremnum aureum, a species renowned for its hardiness and versatility. Known colloquially as “Pothos” or “Devil’s Ivy,” this plant thrives in a wide range of environments and is nearly indestructible — a perfect choice for beginners or those with less-than-perfect lighting.

As an excellent natural air purifier, it helps remove toxins such as formaldehyde and xylene, improving indoor air quality. Symbolically, its bright, variegated leaves represent renewal, positivity, and prosperity — making it a thoughtful gift as well as a delightful addition to any plant collection.


Quick Care Summary

  • Light: Bright, indirect light; tolerates low light

  • Water: Keep lightly moist; allow top few cm to dry

  • Temperature: 18–28 °C; avoid below 15 °C

  • Humidity: Moderate (50–70%)

  • Soil: Well-draining mix – compost, perlite, coco coir

  • Feed: Every 4–6 weeks in spring/summer

  • Growth: Fast-growing trailing vine, 1.5–2 m

⚠️ Toxicity note: Mildly toxic to pets if ingested; keep away from cats and dogs.


Styling Tip

Epipremnum ‘Happy Leaf’ is a brilliant choice for brightening interiors with its fresh, luminous foliage. Display it in a hanging pot where its variegated vines can cascade freely, or train it up a moss pole for a more structured look. It pairs beautifully with darker-leaved species such as Philodendron micans or Zamioculcas zamiifolia ‘Raven’ to create contrast. Perfect for living rooms, bathrooms, or offices, it brings a cheerful, energising touch to any décor — a true “feel-good” plant that lives up to its name.


 

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    4.3 ★★★★★
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    A
    Amazon Customer
    Whiting, US
    ★★★★★ 5
    Great book
    Format: Paperback
    Got this for my son and helped him finish coding his game although it takes some time to learn it I definitely recommend this book
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on September 21, 2024
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    Verified Purchase
    Tyler Backus
    Belleville, US
    ★★★★★ 1
    Out of date and just plain not good instruction
    Format: Kindle
    This has problems that I have seen from many non-educators when they write an instructional book (so I hope she is not an actual educator). The book makes leaps of faith of knowledge and has a belief that they have shown you well enough to do one thing (which it doesn't) and that you can extrapulate from that knowledge to do something completely different. They makes these leaps of faith in the first couple hours, when people are just getting used to coding in this language. This book also fails to even tell you what different parts of the code are doing, so that you can make those leaps of knowledge. I also find this happens a lot when people write coding books. They know how to code, so they figure if they just show you parts of a code you will figure out why it did what it did, instead of explaining to you what different parts of code actually do when you put them together. I made it almost through hour two before I gave up trying to decipher all the nonsense that was written in this book. In hour two they have you make a sphere, but never actually show you how to make the sphere, but then start telling you how to create dialog for the sphere. Apparently in hour 1, even though it was never explained, I was supposed to understand how to make a lava field with objects.
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    Reviewed in the United States on May 11, 2024
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    Josh D
    Los Angeles, US
    ★★★★★ 5
    Must-read book for everyone (not just Ai proponents)
    Format: Paperback
    I realize I say this about every AI book I read, but this one really is the best (so far), and most important in my view."Atlas of AI" by Kate Crawford is a well-researched work that should appeal to AI enthusiasts and opponents alike; not because it flatters either side, but because it challenges both to think beyond the usual narratives. Whether you see Ai as a revolutionary tool for progress or a dystopian force of unchecked power, there’s no denying that it it is shaped by real-world systems of labor, industry, and politics.This book makes it clear: Ai is not just about algorithms and efficiency. It is about power: who wields it, who profits from it, and who is left to bear its costs. For those who celebrate Ai’s potential (like me), Atlas of AI offers a sobering look at the material and ethical realities behind the inertia and hype.For those who critique AI as a damaging or dystopian force, the book provides a well-researched (eye-opening) foundation for those concerns.What makes it especially compelling is that it doesn’t fall into the trap of alarmism OR blind optimism. Instead, Crawford takes us on a deep, methodical journey through the infrastructures that sustain artificial intelligence, revealing the hidden costs (labor, environmental, political) that come with EVERY so-called innovation.**Deconstructing the Myths of AI**One of the book’s greatest strengths is its ability to cut through the persistent myths surrounding artificial intelligence. Crawford systematically dismantles the notion that AI is a purely immaterial, frictionless technology. She examines the vast mining operations necessary to produce hardware, the exploitative labor practices behind data annotation, and the enormous energy demands of AI training model. Ai, in her analysis, is not an autonomous or inevitable force—it is an industrial system deeply intertwined with capitalism, surveillance, and environmental degradation (much of her research applies to Big Tech, and not just Ai). This perspective is crucial in an era where Ai is often presented as a revolutionary technology that exists outside of history and politics.Crawford makes it clear that Ai is not “just math” but a political tool wielded by those in power, often reinforcing existing inequalities. The Ethics of Extraction and Control: One of Crawford's most compelling arguments is the framing of AI as an extractive industry: one that harvests resources, labor, and data in much the same way as colonial enterprises have in the past.The book traces how Ai development is dependent on resource-intensive practices, from lithium mining for hardware to the invisible armies of low-wage workers tasked with cleaning and labeling data. Crawford argues Ai is a system built on the extraction of value from the most vulnerable populations, whether they be gig workers, Amazon's "Mechanical Turk" laborers, or the communities living in the shadow of server farms that consume enormous amounts of water and energy.Crawfors cites numerous examples of how corporations like Google and Amazon, and even the government, skirt the system to save on taxes, while promising better futures to the resource-rich communities they exploit. The theme of extraction extends beyond the physical to the digital realm.Crawford shows how personal data is commodified under the guise of “training AI,” reinforcing the asymmetrical relationship between those who generate data and those who profit from it.The book’s critique aligns with broader concerns about surveillance capitalism, demonstrating how Ai is often wielded as a means of control rather than liberation. (I learned some sad truths about local community policing and Ai) AI and the Politics of Classification Crawford explores how classification systems, often presented as objective/neutral, are deeply embedded with biases. Ai systems are trained on datasets shaped by human prejudices, yet are frequently deployed as infallible arbiters of truth. Crawford examines how facial recognition, predictive policing, and automated hiring systems encode and reinforce racial, gendered, and socioeconomic biases, often amplifying systemic discrimination. This analysis is particularly relevant in today’s discussions on AI ethics. Crawford’s work underscores that Ai bias is not simply a technical glitch to be fixed, but rather a feature of the broader political and economic structures that Ai is designed to serve. A Necessary and Timely Intervention For those who have followed debates on Ai ethics, surveillance capitalism, and data justice, Atlas of AI provides a well-researched and compelling synthesis of these concerns, free from the noise we commonly hear on social media outlets. It is particularly valuable in challenging the mainstream, corporate-driven narratives that portray Ai as an inevitable and benign technological force. Crawford’s writing is insightful, well-documented, and accessible, making complex ideas understandable without sacrificing depth. While the book is critical in tone, it does not merely scold Ai developers; rather, it offers a crucial intervention in ongoing discussions about how Ai is developed, deployed, and governed.The book had a surprisingly anti-capitalist/anti-technocratic tone, that inspired me to continue learning/aligning under the anti-fascist flag so many of us wield. For artists, researchers, and technologists (especially those working at the intersection of Ai and creative expression) Atlas of Ai serves as a stark and vital reminder that technology is never neutral. It invites us to think critically about the systems we engage with and the ethical implications of our participation in Ai-driven ecosystems (and really, all major technologies). Atlas of AI is an essential read for anyone interested in understanding the broader implications of artificial intelligence beyond the hype. It moves beyond discussions of algorithms and model accuracy to examine the power structures that shape Ai’s impact on society. By reframing AI as a material and political phenomenon rather than a disembodied technological marvel, Crawford provides a necessary course-correction to the dominant narratives surrounding Ai. This book is not just for AI skeptics but for anyone who wants to engage in a deeper, more nuanced conversation about the technology shaping our present and future. If we are to meaningfully confront the challenges AI presents, we need more books that challenge us to think critically, demand accountability, and advocate for more just and equitable technological futures. For those of us who engage with AI,whether as artists, researchers, developers, or critics, Atlas of AI should serve as a wake-up call. Too often, Ai artists defend the technology out of pride or personal investment, dismissing valid ethical concerns as fear-mongering. On the other side, anti-AI voices often resist engagement with nuance, preferring to frame Ai as an existential threat rather than a tool shaped by human systems of power. Both of these stances miss the point. Crawford makes it clear that the real battle isn’t Ai vs. artists or progress vs. tradition, it’s about who controls the technology, who benefits from it, and who is left to suffer the consequences. If we are serious about the future of art, technology, and creative autonomy, we must move beyond our egos and engage critically with the systems that shape Ai. This book gives us all a foundation to unify under, not in opposition to Ai itself, but in opposition to the unchecked power structures that exploit it and us.
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on February 6, 2025
    J
    Verified Purchase
    Jeff Jenner
    Louisville, US
    ★★★★★ 5
    I wish Americans could read Kate Crawford’s book
    Format: Kindle
    It is a sad bit of irony that the “information revolution” has created a society in which the vast majority of Americans don’t know where their food or water come from. “I don’t get all this talk about drought. You just turn on the faucet and get all the water you want.” It’s no wonder that we’ve created an entire generation of Americans who have no idea where their computing resources come from. “I don’t get all this ‘cost of AI’ talk. ChatGPT is free. Just open your iphone and it will answer any question you have.” While Crawford’s Atlas of AI is a bit sesquipedalian, it is a comprehensive, well-organized, impeccably researched story of where all our miraculous computing power actually comes from. For all the Doomer talk of AI someday making humans extinct, Crawford shows that the way the most powerful American corporations are implementing AI is ALREADY causing vast harm to humans globally, and it will only continue to get worse. Not from some mythical science fiction robot suddenly becoming smarter than people, but from mass ignorance of the slow but steady human-driven global natural resource depletion and exploitation of the most vulnerable people. It’s doubly sad that our polarized culture war politics prevents most Americans from asking the critical questions that Crawford explores in her journey through the landscape of AI creation and production. This book is neither Marxist nor anti-capitalist. It simply argues that, just like there are better ways of managing our water and food resources, there is a better way to manage our computing resources—the first step being a common understanding that there is a natural resource and human cost to every floating point operation that a computer performs. I wish that Americans were able to read, understand, and appreciate such an important analysis of the biggest problem that will confront humans in the next few decades.
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    Reviewed in the United States on December 3, 2025
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    Verified Purchase
    Thomas
    Massapequa, US
    ★★★★★ 4
    Removing data from databases or datasets.
    Format: Kindle
    If the share a video or photo option was working I would share the screenshot. However, I'll quote it. "Most of the adults on the list had never been charged, but once they were included, ther was no way to have their name removed." This needs more clarification as you can delete data from a database. Especially if web based, there should be CRUD principles added. If that was not the case there's still ways to delete the data or even change it's classification. I will give benefit of the doubt that there's an underlying reason it was said there was no way to remove or that I even misunderstood the context around it. Just seems a little like reaching by this point. Also, I do like this book and a fresh perspective on data collection even though at times it seems to read a little emotional for what I was expecting of an Atlas. Regardless looking past the verbiage of emotions, this is a great book that does point out a lot of history with AI. Thank you for creating this book! Also giving more data to the internet to be used for.... AI... lol
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on November 27, 2024

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