Tuesday, July 25, 2023

AI Superpowers by Kai-Fu Lee - Summary


Prepare yourself for the future, which revolves around AI.

The era of Artificial Intelligence (AI) has arrived, and it's essential to be prepared for the changes it will bring. AI represents a new age of intelligent computers and machines that have the potential to perform human tasks efficiently. Its widespread adoption has already led to the replacement of human labor in various industries. Notably, China and the United States are investing heavily in AI's growth, vying for the position of the leading global AI power.


Kai-Fu Lee, an experienced observer, emphasizes China's significant progress in the AI domain. He points out that China's focus is on profit rather than fame, leading them to adopt market models that maximize returns. This adaptability has made them quick to replace human workers with machines if it leads to higher earnings. Lee also discusses the pros and cons of AI, advocating for a harmonious coexistence between machines and humans.

AI has become a permanent fixture, and it's crucial to recognize that you must either adapt and embrace it or risk being left behind by its sweeping influence.

The United States, on the other hand, has played a crucial role in discovering AI's potential and promoting deep learning capabilities. Silicon Valley has been a hotbed of innovation, enabling American engineers to create groundbreaking AI products used worldwide. However, China's advancements in AI owe, in part, to leveraging the achievements of the US in the field. The rivalry between the two countries is entering a new phase, with China's different approach to AI development potentially shifting the balance of power.


The AI revolution is here to stay, and one must either embrace its changes or risk being left behind. As the technology continues to progress, it's natural to wonder whether robots will eventually replace human jobs. To learn more about this transformative revolution and its impact on the job market, read on in the following summary.


China is rapidly emerging as the global epicenter of AI technology.

In recent years, China has displayed remarkable enthusiasm for artificial intelligence. Since AI captured its interest, China has made significant strides in tech investment and is poised to outpace every other country in AI technology.


Comparing the first three stages of the Industrial Revolution to the AI revolution, the speed and impact of AI's development far surpass the former. The process of inventing the steam engine, electricity, and automation took several centuries, with the first phase alone lasting nearly 70 years. In contrast, AI has quickly dominated the current generation, and its growth shows no signs of slowing down. Experts predict that AI will contribute trillions of dollars to the global economy in the coming decade, a pace that seems almost unbelievable.


Countries worldwide are channeling substantial financial resources into AI and the future of tech industries. The impetus for AI's growth stems from the human desire to rapidly advance the intelligence of computers and robots. The launch of the first artificial satellite by the Soviet Union in 1957 prompted many nations to recognize the importance of investing heavily in AI, leading to the extensive efforts seen today.

The transition from manual to digital processes has significantly simplified the creation, storage, and retrieval of data.

 Indeed, the AI revolution has brought about a dramatic shift in data production costs compared to the days of the Industrial Revolution. During the Industrial Revolution, human labor was a costly and essential component, while AI relies on the efficiency of computers, machines, and robots. The reproduction and distribution of data in the AI era come at an almost negligible marginal cost, representing a substantial advancement over the hardware-based innovations of the past, such as steam power, electricity, and information technology.


What sets the current era apart is the unprecedented interest in artificial intelligence, and in this modern technological landscape, China plays a pivotal role in advancing and implementing AI. China's significant involvement in AI acts as a catalyst for a more transformative revolution, one that surpasses the early days of robots, computers, and machines. This era of AI-driven progress promises unparalleled opportunities for further advancements and developments, with China's active participation at its core.

AI, as a revolution, has proven successful in displacing manual laborers and replacing them with machines.

During the initial stages of the Industrial Revolution, manual labor shifted from a small number of skilled workers to a larger pool of less qualified individuals. This transition led to a more capable workforce and an environment with an improved standard of living.

The second stage of the Industrial Revolution further reinforced the trends of the first stage, offering more employment opportunities and economic growth. However, the third stage, marked by the advent of AI, deviated from this pattern. Instead of reinforcing previous advancements, AI came to replace manual labor with machines, putting low-skilled workers at risk once again as increasingly intelligent machines take over their roles.

AI has become deeply ingrained in our lives and will continue to be relevant due to the substantial investment of money and resources by humanity. According to Kai-Fu Lee, the evolution of AI will progress through four distinct waves:

  1. Internet AI
  2. Business AI
  3. Perception AI
  4. Autonomous AI

The first wave, Internet AI, is already well-established, with nearly everyone connected to the web.

The Internet serves as a seamless and rapid global connector, fostering an environment where ideas can be easily exchanged and openly discussed.


Indeed, business AI has rapidly gained momentum, significantly contributing to the successful transformation of the digital world. Thanks to advanced AI technology, running businesses has become more efficient and streamlined than ever before.


Perception AI represents a wave of realization concerning how effectively humans can digitize and interact with their physical environment. Smart technology is at the forefront of this phase, enabling the world to be "read," faces and voices recognized, pulse measured, and reminders set for various tasks.


The final wave, autonomous AI, embodies the present and future of AI technology. It involves creating autonomous intelligent machines, such as robots, self-driving cars, smartphones, drones, and more. Autonomous AI builds upon the achievements of the preceding waves and ensures their seamless coordination to transform human lives. This wave will have the most revolutionary impact on humanity, reshaping infrastructure, education, businesses, and human relationships in profound ways. 

China's method of copying and reproducing technologies has been a significant factor contributing to their AI growth.

Exploring China's intellectual background provides valuable insights into the country's successful adoption of AI. Understanding their history, traditions, culture, and beliefs offers a glimpse into their developmental journey. The Chinese online universe emphasizes strict replication of excellence, which is well-known for their technological copycat style. Additionally, the nation's one-child policy has instilled a shortfall mentality, while their forward-looking approach anticipates immersion into cutting-edge domains. These aspects, as highlighted by Kai-Fu Lee, contribute to China's rapid rise as a global AI center.

The turning point came after witnessing AlphaGo's triumph in 2016, prompting China to take decisive action to become a leader in AI. Two key transitions were pivotal: shifting from ideation to practical application and prioritizing data over traditional knowledge. These strategic shifts have propelled China forward in the AI race and contributed to its position as a rising powerhouse in the field.
In the era of expertise, the United States leads the way, excelling in knowledge and innovation. On the other hand, China emerges as the frontrunner in the age of implementation, showcasing its prowess in turning ideas into tangible realities.

These two critical transitions played a pivotal role in shifting the balance of power towards China in the field of AI. However, other factors have also contributed significantly to China's rise to AI leadership. The presence of battle-tested entrepreneurs, who have proven their mettle in the industry, has been instrumental in driving innovation and progress.

In the realm of deep learning, the value of abundant data cannot be overstated. The greater the number of instances of a specific phenomenon that a neural network encounters, the more adeptly it can recognize patterns and identify objects in the real world with enhanced accuracy. The abundance of diverse data enables the network to generalize effectively, resulting in improved performance and more precise identification of objects and patterns.

The noteworthy aspect of Chinese startups is their adoption of a reproduction mentality, drawing inspiration from United States business models. This approach sparked intense competition, prompting companies to tailor their offerings to cater specifically to Chinese users. As a result, a new wave of entrepreneurs emerged. Chinese corporations immersed themselves in the intricacies of the offline world, gathering copious amounts of data, which now fuels the surging era of AI in the Asian nation. Their technology scheme, deeply rooted in the physical world, enables algorithms to delve into the fabric of daily life, generating valuable feedback and insights. 

Chinese and American approaches to innovation differ significantly.

AI has rapidly gained worldwide prominence since its inception and has steadily replaced human labor. Both China and the United States are heavily investing in the growth of the AI sector, yet the question of which country will emerge as the leading global AI power remains unanswered.

China has embraced the concept of mass entrepreneurship and innovation, fostering a startup ecosystem to support their inventive pursuits. The country's government has actively sought to shift its economic focus from manufacturing to innovation and technology.

Unlike American politicians, who are cautious about the societal implications of autonomous vehicles, the Chinese government appears less concerned about the consequences of AI due to its blend of the Industrial Revolution and the AI revolution.

According to Kai-Fu Lee, China's burgeoning and world-class entrepreneurs will strategically explore profitable opportunities that benefit both their people and the economy.

China's advantage lies in the growing weakness of Silicon Valley companies, which are less inclined to provide Chinese users with localized versions of their products. This lack of adaptation makes Chinese AI firms more appealing to local users. Chinese AI companies, in contrast to their American counterparts, adopt distinct global market approaches, with the United States aiming for market domination and China nurturing local startups with financial and resource support.
Silicon Valley leaders often underperform in the Chinese market because they frequently fail to acknowledge the necessity of refining and adapting their products to meet the expectations of Chinese users. As a result, American companies often struggle to resonate with the preferences and demands of the Chinese consumer base.

The Chinese approach to AI places a strong emphasis on cooperating with industrialization rather than displacing it. Chinese companies combine the expertise of professionals with insights from local communities to gather valuable information, enabling them to chart their path effectively. This approach involves understanding the needs, behaviors, and ways of life of specific groups, helping them identify how AI can best benefit those populations.


Did you know? PricewaterhouseCoopers projects that by 2030, AI will contribute a staggering $15.7 trillion to the global GDP, with a significant portion, approximately $7 trillion, expected to impact the Chinese economy.

Praise the future of AI, while acknowledging its societal implications.

China's rapid investment in AI could lead to the widespread dominance of intelligent machines. As Dr. Lee highlights, the true threat posed by Artificial Intelligence lies in the potential for significant social disorder, classism, and the risk of political collapse resulting from unemployment and massive inequality. While Lee doesn't believe that current AI abilities can lead to a super-intelligence that destroys civilization, he does express concern about the possibility of humans inadvertently causing harm to their own world.

The industrial revolution has ingrained in humans a belief that they are indispensable in society. This sentiment has led to complacency and a lack of urgency in facing the rapid advancements of AI. The new age of AI demands a shift in attitude, mentality, cultural values, and social identity.

While there is a need for socially productive reforms in the face of AI, some new systems solely prioritize profit, stifling competition and contributing to the elimination of the middle-class workforce. As machines work efficiently and cost-effectively, the shift away from human labor accelerates, concentrating wealth in the hands of those who control the technology.

China has made massive contributions to AI, leveraging its cultural background and mentality to effectively combine the industrial and AI revolutions. Unlike the West, China still has a substantial portion of its population working in traditional sectors like farming, factories, and industries. Although AI may eventually displace some of these workers, there remains a possibility for a balanced approach to address their future role.
If AI ever allows us to understand ourselves truly, it will not be because these algorithms captured the mechanical essence of the human mind. It will be because they liberated us to forget about optimization and to instead focus on what truly makes us human: loving and being loved.

The widespread adoption of AI in the workforce will likely widen the social gap between individuals and corporate organizations.

As robot-controlled factories move closer to big markets, developing countries may face challenges in progressing as they did before. Many people may struggle to cope with these changes, as their self-worth is often tied to the work they do, and AI replacing their jobs may lead to a loss of self-esteem.


The impact of AI on jobs is a complex issue, and no definitive conclusion can be reached. Dr. Lee presents a compelling case for both sides of AI's true impact on employment. His findings suggest that AI could replace up to 50% of human labor in the US within the next 15 years, with examples like self-driving cars replacing drivers and software applications substituting for office workers and accountants.


One potential solution is to shift people's focus towards new job opportunities. The US Bureau of Labor Statistics predicts the creation of over one million jobs in domestic health care and self-care services within the next four years. While these jobs may have a lower annual income, government investment could make them more appealing with better pay.


AI's capabilities have limitations, particularly in fields like medicine and science. While AI can handle optimization and information feedback, human touch and compassion from doctors will always be necessary in these domains.

Scholars propose several potential solutions to address the challenges posed by AI. Some advocate for retraining workers to acquire new skills, while others believe that reducing work hours and spreading hours among more workers could be beneficial. Additionally, some suggest that AI industries should redistribute jobs among people. While these options seem promising, their practical effects require careful consideration.


The increasing implementation of AI in our lives understandably raises concerns about its potential domination and superiority. However, by gaining a deeper understanding of AI, we can improve our perception of the AI revolution and its implications.

Conclusion

To adapt to the increasing influx of AI technology, it is vital to continuously learn about new technologies and acquire relevant skills for future job opportunities. The future represents a fusion of the past and the present, where the history of AI stands as one of humanity's greatest inventions. Regardless of the future AI brings, its development will always be a result of human actions. As AI becomes more prevalent, companies, industries, and governments worldwide are embracing its potential in social services. However, there remains a risk that extensive AI adoption could lead to the displacement of human labor, posing challenges for society.


Certain industries, such as care, service, and education, will always require human involvement as they cannot be fully automated. The warmth and empathy that humans provide cannot be replicated by AI. To thrive in the AI-driven future, individuals should consider repositioning themselves to seize opportunities in these human-centric fields.


China's position as the hub of AI technology appears solid and likely to continue. As the future heavily relies on AI, it is essential to be cautious of the potential threat posed by machine dominance. As Kai-Fu Lee suggests, humans must learn to coexist with machines, recognizing that human actions can have a more significant impact on the world than the machines they fear.


For individuals, it is essential not to get discouraged by the AI advancements. Take time to analyze how this trend affects your life by experimenting with various AI-powered mobile apps, such as pace counters or calorie counters, to assess their impact on your overall quality of life. Additionally, research AI's role in healthcare to understand how technology contributes to meaningful changes in the sector.


Thursday, November 9, 2017

Wordscapes Answers All Levels

Wordscapes by PeopleFun answers, cheats, solutions for all leves! Worscapes it's a highly popular word search puzzle game in which you'll need to fill crosswords grids using the given letters. The graphics of Wordscapes are well polished and the gameplay is really easy to understand, the hard part comes when you need to form some less commonly used words. In this case you may get stuck and will need to use ingame hints to find the answers. If you ran out of hits fear not, you found this page and here you'll find all the answers for all the levels in Wordscapes. Just take a look below...

Wordscapes Answers, Cheats, Solutions


Wordscapes Sunrise Answers

Sunrise-Rise 1: Act, Cat
Sunrise-Rise 2: Own, Now, Won
Sunrise-Rise 3: Ear, Era, Are
Sunrise-Rise 4: Tap, Pat, Apt

Wordscapes Sunrise Answers

Sunrise-Grow 1: Rip, Dip, Drip, Rid
Sunrise-Grow 2: Far, Air, Fair, Fir
Sunrise-Grow 3: Net, Den, Ten, Tend, End, Dent
Sunrise-Grow 4: Par, Ark, Park, Rap

Wordscapes Sunrise Answers

Sunrise-Shine 1: Ton, Not, Nut, Out, Unto
Sunrise-Shine 2: Lad, Day, Lay, Lady
Sunrise-Shine 3: Beta, Tea, Eat, Ate, Beat, Bet, Bat, Tab
Sunrise-Shine 4: Ban, Bar, Ran, Nab, Barn, Bra, Bran

Wordscapes Forest Answers

Forest-Pine 1: Ads, Saved, Save, Sad, Vase
Forest-Pine 2: Loved, Doe, Ode, Old, Dole, Led, Love, Dove
Forest-Pine 3: Sight, This, Its, His, Sigh, Hit, Sit
Forest-Pine 4: Rat, Cart, Art, Cat, Tract, Tar, Car
Forest-Pine 5: Doc, Cold, Could, Cod, Cloud, Duo, Loud
Forest-Pine 6: Ban, Bad, Bland, Land, Lab, Bald, Nab, Band
Forest-Pine 7: Ale, Eagle, Gel, Lag, Age, Glee, Gal, Leg
Forest-Pine 8: Ash, Leash, Sea, She, Has, Heal, Sale, Ale, Seal

Wordscapes Forest Answers

Forest-Dew 1: Abs, Cub, Scuba, Cab, Cubs, Cabs
Forest-Dew 2: Sole, Ore, Lose, Rose, Roles, Sore
Forest-Dew 3: One, Lone, Once, Con, Clone, Cone
Forest-Dew 4: Kit, Ink, Hit, Hint, Tin, Thin, Kin, Think
Forest-Dew 5: Lap, App, Apply, Pay, Pal, Play
Forest-Dew 6: Speak, Peak, Sea, Peas, Sap, Ask, Ape, Peaks, Spa
Forest-Dew 7: Silo, Sod, Old, Lid, Oil, Slid, Idol, Sold, Soil, Solid
Forest-Dew 8: Crawl, Claw, Arc, Raw, War, Law
Forest-Dew 9: Pain, Piano, Pin, Ion, Nap, Pan
Forest-Dew 10: Aging, Gain, Gang, Gag, Gin
Forest-Dew 11: Dice, Did, Ice, Iced, Diced
Forest-Dew 12: Lug, Due, Dug, Duel, Glue, Led, Glued

Wordscapes Forest Answers

Forest-Flow 1: Tenth, Net, Tent, Hen, The, Then, Ten
Forest-Flow 2: Stain, Sit, Sin, Satin, Tan, Tins, Ant, Saint, Its
Forest-Flow 3: Yet, Style, Lets, Set, Lest, Sly, Yes
Forest-Flow 4: Dice, Dim, Iced, Mice, Dime, Mid, Medic
Forest-Flow 5: Nag, Grand, Ran, Grad, Darn, And, Rang, Rag, Drag
Forest-Flow 6: Inn, Tin, Hint, Thin, Ninth
Forest-Flow 7: But, Tuber, Brute, True, Rut, Tub, Rub, Bet, Tube
Forest-Flow 8: User, Urges, Sue, Rug, Sure, Surge
Forest-Flow 9: Hop, Crop, Porch, Chop, Cop, Pro
Forest-Flow 10: Force, Fore, Foe, Core, For
Forest-Flow 11: Ran, Rind, And, Rid, Rain, Raid, Aid, Darn, Drain
Forest-Flow 12: Lake, Alike, Lie, Leak, Like, Elk
Forest-Flow 13: Urge, Due, Rude, Drug, Urged, Dug, Red, Rug
Forest-Flow 14: Ear, Bear, Bar, Bra, Crab, Care, Car, Bare, Era, Brace, Are, Race
Forest-Flow 15: Rat, Straw, Wars, Was, Art, Sat, Tar, Star, Swat, Saw
Forest-Flow 16: Marry, May, Yam, Mar, Arm, Army, Ray, Ram

Wordscapes Forest Answers

Forest-Fog 1: Bad, Bead, Bed, Baked, Bake, Beak
Forest-Fog 2: Bye, Bay, Babe, Baby, Aye, Abbey
Forest-Fog 3: Ails, Sail, Bail, Abs, Slab, Lab, Bias, Basil
Forest-Fog 4: Line, Lie, Lean, Nail, Alien, Lane
Forest-Fog 5: Ban, Can, Boa, Cab, Bacon, Nab
Forest-Fog 6: Now, Won, Owing, Own, Gown, Ion, Wig, Wing, Gin, Win
Forest-Fog 7: Hag, Graph, Gap, Rap, Harp, Par
Forest-Fog 8: Skill, Silk, Ski, Ill, Kill
Forest-Fog 9: Hay, Yak, Say, Ash, Shy, Sky, Has, Shaky, Ashy, Ask
Forest-Fog 10: Gold, Ego, Log, Lodge, Dog, Leg, God, Old, Lode, Gel
Forest-Fog 11: Arc, Rag, Air, Cigar, Rig
Forest-Fog 12: Ups, Setup, Upset, Pet, Put, Use, Pest, Step
Forest-Fog 13: See, Seek, Skeet, Eek, Tee
Forest-Fog 14: Soul, Slot, Lust, Lost, Lot, Out, Lotus
Forest-Fog 15: Lame, Elm, Lamb, Balm, Able, Blame, Ale, Bam, Male, Beam, Meal
Forest-Fog 16: Ices, Sip, Spice, Pic, Epic, Pie

Wordscapes Forest Answers

Forest-Life 1: Pace, Ace, Ape, Cap, Pea, Cape, Peace
Forest-Life 2: Mode, Doe, Dove, Move, Demo, Dome, Moved
Forest-Life 3: Wit, Tie, Ice, Cite, Twice, Wet
Forest-Life 4: Pure, Rue, Sure, Purse, Ups, Rep, Sue, User, Spur, Per, Super
Forest-Life 5: Won, How, Own, Snow, Who, Now, Shown, Show
Forest-Life 6: Dub, Duo, Dot, Bod, But, Tub, Bout, Doubt, Out, Bud
Forest-Life 7: Eyed, Deny, End, Dye, Need, Needy, Yen, Den
Forest-Life 8: Eat, Axe, Latex, Tea, Ate, Late, Tax, Tale, Lax, Axle, Exalt, Let
Forest-Life 9: Pitch, Tip, Hip, Hit, Itch, Phi, Chi, Pit, Chip, Pic
Forest-Life 10: Deer, Freed, Reed, Fee, Feed, Free, Defer, Reef, Fed, Red
Forest-Life 11: Son, Once, Cons, Cones, One, Nose
Forest-Life 12: There, Here, Three, Thee, The, Her, Tree
Forest-Life 13: Wee, Pew, Yew, Weepy, Weep, Yep, Eye, Ewe
Forest-Life 14: Mad, Dame, Deal, Made, Lame, Meal, Elm, Medal, Mead, Meld, Male, Lad, Lead, Dam
Forest-Life 15: Long, Lag, Along, Ago, Nag, Anglo, Loan, Goal, Gal
Forest-Life 16: Rye, Early, Layer, Earl, Relay, Rely, Ear, Era, Year, Real, Ray

Wordscapes Canyon Answers

Canyon-Ravine 1: Duty, Yep, Dupe, Yup, Yet, Put, Deputy, Dye, Typed, Pet
Canyon-Ravine 2: Tire, Trite, Fir, Tie, Fitter, Rite, Fit, Rift
Canyon-Ravine 3: Jug, Judge, Due, Dud, Judged, Dude
Canyon-Ravine 4: Grow, Who, Got, Rot, Hot, Growth, Worth, Two, Tow, Throw, Hog, Row
Canyon-Ravine 5: Vials, Via, Vial, Saliva, Lava, Alas, Visa
Canyon-Ravine 6: Cut, Most, Out, Must, Cost, Sum, Cots, Custom, Scout
Canyon-Ravine 7: Clay, Aye, Lace, Gal, Leg, Ace, Ale, Gel, Cage, Legacy, Cagey, Lay, Age
Canyon-Ravine 8: Men, Lemon, Melon, Elm, Lone, Lemony, Mole, Money, Only
Canyon-Ravine 9: Let, Helmet, Heel, Helm, Them, Melt, Hem, Met, Meet, Tee, Theme
Canyon-Ravine 10: Slick, Sickly, Icy, Sky, Lick, Ski, Silky, Silk, Sick, Sly
Canyon-Ravine 11: Leap, Pale, Pal, Equal, Plaque, Plea, Ape, Pea
Canyon-Ravine 12: Den, Hid, Dine, Hide, Did, End, Dined, Hind, Hidden, Hen, Died
Canyon-Ravine 13: Case, Aces, Sea, Cases, Access, Seas
Canyon-Ravine 14: Valued, Deal, Veal, Vale, Dual, Duel, Value, Lead, Led, Lad
Canyon-Ravine 15: Drive, Dive, Driver, Ride, Rider, Dire, Red, River, Drier
Canyon-Ravine 16: Soon, Pony, Snoopy, Spy, Soy, Sop, Oops, Spoon

Wordscapes Canyon Answers

Canyon-Pass 1: Bred, Bed, Birdie, Ride, Rid, Rib, Bride, Bid, Bird, Dire
Canyon-Pass 2: Rip, Spry, Crispy, Crisp, Sip, Spy, Pry, Spicy, Sir, Pic
Canyon-Pass 3: Exit, Ice, Toxic, Cot, Exotic, Cite
Canyon-Pass 4: Nor, Form, From, Minor, Fir, Iron, Info, Ion, Firm, Inform, Rim, For, Fin
Canyon-Pass 5: Rife, Rye, Ivy, Fiery, Very, Fire, Five, Verify
Canyon-Pass 6: Man, Ham, Amen, Humane, Mean, Name, Emu, Hue, Hum, Menu, Human, Mane
Canyon-Pass 7: Melody, Meld, Mode, Lode, Model, Demo, Old, Led, Moldy, Dome
Canyon-Pass 8: Used, Case, Sauce, Ads, Aces, Sue, Sad, Sea, Caused, Dues, Cause, Cue, Cues, Use
Canyon-Pass 9: Nut, Turn, Runt, Tune, Run, Rent, Rue, Rut, Net, True, Tuner, Ten, Untrue
Canyon-Pass 10: Denied, Den, End, Indeed, Need, Deed, Dined, Ended, Died, Did
Canyon-Pass 11: Ogre, Rode, Odder, Odd, Dodge, Dog, Dodger, Ego, Doe, God, Red
Canyon-Pass 12: Heirs, Hers, Her, Skier, Risk, Rise, Ski, Shirk, Hire, His, Shire, Sire, Hikers, She
Canyon-Pass 13: Bore, Bet, Toe, Boot, Reboot, Robot, Tore, Too, Ore, Orb, Root, Rob, Robe
Canyon-Pass 14: Begin, Bin, Benign, Inn, Binge, Beg, Nine, Being
Canyon-Pass 15: Tug, Lug, Guy, Gut, Glut, Ugly, Guilty, Lit
Canyon-Pass 16: Per, Prep, Ripple, Pile, Pier, Pep, Lie, Peril, Ripe, Pie, Pipe, Lip

Wordscapes Canyon Answers

Canyon-Arch 1: Have, Vane, Even, Heaven, Eve, Van, Haven
Canyon-Arch 2: Was, Owls, Law, Slow, Saw, Lows, Also, Allows, Allow, All, Wall, Owl
Canyon-Arch 3: Ear, Area, Earl, Real, Veal, Lava, Larvae, Larva, Era, Ale
Canyon-Arch 4: Uses, Assume, Mass, Sums, Sea, Muse, Sum, Amuse, Sues, Emu, Same, Mess, Seams
Canyon-Arch 5: Void, Diode, Voided, Video, Devoid, Dive, Vie, Dove
Canyon-Arch 6: Band, Abound, Undo, Ban, Nab, Bud, Bad, Bound, Dub, Bun, Bond, Nod, Nub
Canyon-Arch 7: Scout, Cuts, Cots, Cost, Cut, Outs, Out, Stucco
Canyon-Arch 8: Lab, Blah, Lace, Cable, Able, Each, Bleach, Cab, Beach
Canyon-Arch 9: Hour, Chorus, Ouch, Crush, Such, Sour, Ours, Our, Rush
Canyon-Arch 10: Else, Less, Elves, Selves, Vessel, Eve, Sees
Canyon-Arch 11: Right, Hit, Birth, Bit, Rig, Grit, Bright, Brig, Big
Canyon-Arch 12: Gum, Rug, Ogre, Euro, Mug, Rogue, Rum, More, Urge, Gem, Emu, Ego, Rouge, Germ, Ore, Morgue
Canyon-Arch 13: Ever, Bare, Bra, Brave, Bar, Verb, Bear, Bee, Are, Beer, Beaver
Canyon-Arch 14: Inch, Rich, Niche, Nice, Chi, Her, Hen, Heir, Chin, Rice, Enrich, Nicer
Canyon-Arch 15: Mutant, Tuna, Ant, Man, Tan, Mat, Nut, Aunt, Taunt
Canyon-Arch 16: Wire, Inner, Wine, New, Winner, Win, Nine, Inn

Wordscapes Canyon Answers

Canyon-Cliff 1: Edge, Reed, Deer, Degree, Red, Greed
Canyon-Cliff 2: Let, Else, Sled, Steel, Lest, Seed, See, Tees, Set, Eldest
Canyon-Cliff 3: Tip, Hip, Phi, Hilt, Light, Plight, Lip, Pig, Lit, Pit, Hit
Canyon-Cliff 4: Son, Nose, Hose, Shoe, Hen, Cons, One, Chose, Chosen, She, Ones, Echo, Hens, Con, Cones, Once, Shone
Canyon-Cliff 5: Horn, Hog, Throng, Thorn, Torn, Got, Ton, Rot, North, Hot, Not
Canyon-Cliff 6: Mode, Doe, Demo, Loud, Meld, Mold, Mud, Elm, Old, Due, Led, Lode, Model, Module, Duel, Mole, Dome, Duo
Canyon-Cliff 7: Cross, Across, Soar, Arcs, Cars, Oars, Oar, Arc, Scar
Canyon-Cliff 8: Hers, Isle, Lie, Riles, Lies, Rile, Shire, Relish, Her, Rise, His, Hire, Sir, Heir, Heirs
Canyon-Cliff 9: Ledge, Glee, Peg, Gel, Leg, Pled, Pledge, Peel, Deep
Canyon-Cliff 10: Iron, Grin, Ogre, Ring, Gin, Rein, Ore, Ion, Nor, Region, Goner, Ignore, Gone, Ego, Reign
Canyon-Cliff 11: Gee, Mere, Gem, Merger, Merge, Germ
Canyon-Cliff 12: Coral, Roach, Coal, Cola, Arch, Choral, Halo, Oral
Canyon-Cliff 13: Tree, Ten, Net, Enter, Tee, Rent, Teen, Entree
Canyon-Cliff 14: Fated, Feet, Fad, Defeat, Eat, Date, Fat, Fed, Fee, Fade, Deaf, Feed, Fate, Ate, Tad
Canyon-Cliff 15: Ice, Sin, Scenic, Nice, Since, Ices
Canyon-Cliff 16: Rig, Grail, Cigar, Garlic, Rag, Air, Rail, Lag, Liar, Girl

Wordscapes Canyon Answers

Canyon-Pillar 1: Cot, Your, Court, Curt, Try, Outcry, You, Tour, Out, Toy, Cry
Canyon-Pillar 2: Yells, Lose, Solely, Yes, Sly, Sole, Sell, Yell
Canyon-Pillar 3: Ten, Taken, Tin, Neat, Intake, Ink, Kin, Take, Tea, Kite, Tank, Ant, Tie, Tan
Canyon-Pillar 4: Rut, Truck, Struck, Cuts, Ruts, Tusk, Cut, Tuck, Tucks, Crust, Rust, Suck, Stuck, Turks
Canyon-Pillar 5: Cat, Rat, Arc, Arctic, Act, Car, Art, Tar, Cart, Circa
Canyon-Pillar 6: Nab, Rain, Brain, Rainy, Any, Ban, Binary, Yarn, Barn, Bay, Bran, Rib, Bra, Ran, Air, Airy
Canyon-Pillar 7: Come, Coin, Nice, Ice, Mine, One, Income, Mince, Con, Ion, Once, Icon, Men
Canyon-Pillar 8: Seer, Rids, Reside, Ride, Deer, Dire, Reeds, Side, Rides, Dries, See, Reed, Reds, Red, Rid, Seed, Desire
Canyon-Pillar 9: Vote, Eve, Toe, Dot, Voted, Tee, Veto, Dove, Devote, Vetoed, Doe
Canyon-Pillar 10: Male, Elm, Ram, Mar, Ale, Real, Era, Marvel, Lame, Realm, Meal, Earl, Mare
Canyon-Pillar 11: Rose, Sermon, Omens, Norm, Ores, Sore, More, Snore, Some, Nor, Nose, Norms, Son
Canyon-Pillar 12: Hire, Heir, The, Either, Their, Hit, Tree, There, Her, Rite, Three, Tier, Here, Tire
Canyon-Pillar 13: Round, Dug, Rung, Dog, Our, Run, Urn, Gun, Ground, Dung, Rod, Nod, Rug, Drug
Canyon-Pillar 14: Sees, Mess, Seams, Seems, Same, Eases, Mass, Sesame, Seas, Ease
Canyon-Pillar 15: Shrunk, Urns, Sunk, Hunk, Runs, Hunks, Husk, Sun
Canyon-Pillar 16: Rot, Cover, Covet, Covert, Core, Vet, Over, Rove, Vector, Voter, Tore, Ore, Cove

Wordscapes Sky Answers

Sky-Wind 1: Kind, Idly, Dinky, Kid, Ilk, Nil, Link, Kindly
Sky-Wind 2: Tier, Vie, Hive, Tire, Rite, Heir, The, Her, Hire, Their, Thrive, Ire
Sky-Wind 3: Pie, Per, Pier, Empire, Imp, Peer, Prim, Rep, Rip, Rem, Ripe, Prime
Sky-Wind 4: Suit, Cut, Rut, Citrus, Rustic, Stir, Rust, Sir, Sit, Ruts, Curt, Crust, Its
Sky-Wind 5: Long, Anglo, Analog, Gala, Goal, Loan, Along
Sky-Wind 6: Cope, Cup, Cop, Couple, Cue, Clue, Pole, Coupe
Sky-Wind 7: Over, Lover, Vet, Ore, Voter, Rot, Revolt, Let, Tore, Lot, Overt, Role, Rove, Love
Sky-Wind 8: Sun, Sued, Use, Undue, Unused, Dens, Den, Dues, Used, Dunes, End, Send
Sky-Wind 9: Cap, Cape, Pace, Ace, Apiece, Peace, Ape, Pea, Epic, Piece
Sky-Wind 10: Idle, Filed, Died, Deli, Field, Did, Fed, Lie, Fiddle, Elf, Led, Lid, Fled, Life
Sky-Wind 11: Silo, Oil, Fossil, Loss, Foil, Soils, Oils, Soil, Floss
Sky-Wind 12: Inn, Sea, Nan, Nines, Insane, Sienna, Sane, Nine
Sky-Wind 13: Have, Heaved, Had, Heed, Head, Evade
Sky-Wind 14: Ray, Sorry, Soy, Oars, Say, Soar, Rosy, Oar, Roars, Rays, Rosary, Roar
Sky-Wind 15: Foe, Odder, Fodder, Fore, Rod, For, Red, Rode, Ode, Odd, Redo, Forded
Sky-Wind 16: Rile, Flier, Life, Rifle, Fire, Fill, Rife, File, Filler

Wordscapes Sky Answers

Sky-Rays 1: Flu, Fuse, Fuels, Self, Elf, Useful, Fuel
Sky-Rays 2: Each, Acne, Cache, Cane, Hen, Can, Chance, Ache
Sky-Rays 3: Tinge, Ten, Gin, Nit, Git, Ignite, Tin, Gent, Net
Sky-Rays 4: Rods, Sod, Hours, Sour, Rush, Duo, Duh, Ours, Shroud, Dour, Rod, Our
Sky-Rays 5: Torn, Troop, Port, Root, Poor, Too, Pot, Proton, Onto, Pro, Top, Not
Sky-Rays 6: Let, Litter, Title, Rile, Tilt, Lie, Til, Liter, Tile, Lit, Trite, Lite
Sky-Rays 7: Globe, Blog, Glob, Gobble, Blob, Lobe
Sky-Rays 8: Hubris, Rib, Shrub, Ribs, Brush, Rub, Rubs, Bus, Bush, Rush, Sub, Hub, Hubs
Sky-Rays 9: Side, Den, Dines, Dens, Din, Sin, Send, Inside, Ends
Sky-Rays 10: Mid, Nod, And, Main, Amid, Domain, Aim, Amino, Ion, Aid, Mind, Dam, Mad, Dim, Man, Maid
Sky-Rays 11: Sail, Visual, Visa, Vials, Ails, Via
Sky-Rays 12: Ale, App, Pale, Papa, Apple, Pep, Appeal, Lap, Plea, Pal, Leap
Sky-Rays 13: Sect, Stock, Set, Socket, Coke, Sock, Cots, Toe
Sky-Rays 14: Oar, Lay, Ray, Rally, Oral, Orally, Royal, Ally, Roll, Alloy, Loyal
Sky-Rays 15: Log, Loom, Gloomy, Gym, Logo, Gloom, Moo, Goo
Sky-Rays 16: Most, Moist, Sitcom, Stoic, Cot, Omits, Sim, Mist, Tics, Cost, Omit

Wordscapes Sky Answers

Sky-Dusk 1: Impose, Sip, Pies, Poise, Pose, Poems, Mops, Ops, Pie, Imps, Sop, Some, Sim
Sky-Dusk 2: All, Cola, Ace, Coal, Cell, Call, Lace, Local, Locale, Cello
Sky-Dusk 3: Peer, Free, Reef, Prefer, Err, Freer, Fee, Refer, Ref
Sky-Dusk 4: Rein, Rind, Ridden, Ride, Dried, Dined, Diner, Dire, Nerd
Sky-Dusk 5: Hit, Eighty, Hey, Tie, Eight, Git, The, They, Thy
Sky-Dusk 6: Out, Touts, Must, Most, Stout, Utmost, Mutt, Oust, Sum, Tot
Sky-Dusk 7: Season, Sea, Son, Sane, Noses, Ones, Eons
Sky-Dusk 8: Attic, Cacti, Tact, Act, Tic, Cat, Tactic, Tacit
Sky-Dusk 9: Died, Iced, Deed, Dice, Decide, Ice, Cede, Diced, Did
Sky-Dusk 10: Omega, Mega, Hag, Home, Hog, Age, Hem, Ego, Gem, Ago, Game, Mage, Hoe, Mag, Homage
Sky-Dusk 11: Torch, Ooh, Cot, Cohort, Rot, Root, Hoot, Coo, Hot
Sky-Dusk 12: Slicer, Slice, Cries, Lies, Rile, Rise, Lice, Sire, Isle, Rice, Relics, Ices, Relic
Sky-Dusk 13: Spy, Sap, Spa, Pays, Say, Pass, Bays, Bass, Abyss, Bypass, Abs
Sky-Dusk 14: Lung, Glen, Gun, Gulp, Pun, Gel, Lunge, Peg, Leg, Pug, Glue, Plug, Plunge, Lug
Sky-Dusk 15: Rope, Rep, One, Pore, Proven, Prone, Pen, Ore, Prove, Oven, Nor, Over, Peon, Open, Per, Nope
Sky-Dusk 16: Eels, Else, Elves, Levee, Levees, Sleeve

Wordscapes Sky Answers

Sky-Cloud 1: Tier, Sitter, Rite, Tire, Sire, Set, Trite, Tries, Site, Test, Sir, Stir, Ties, Ire, Its, Rest, Sit, Rise
Sky-Cloud 2: Etch, Ethic, Chic, Itch, Tech, Hectic, Cite
Sky-Cloud 3: Seal, Labs, Usable, Able, Abuse, Slab, Sale, Blues, Bales, Base
Sky-Cloud 4: See, Cue, Curse, Reuse, Rescue, Sure, Cure, Use, Seer, User, Rue, Secure
Sky-Cloud 5: Gel, Gee, Gal, Lag, Eagle, Glee, League, Ale, Glue, Gale, Lug, Age
Sky-Cloud 6: Sad, Sea, Vase, Via, Visa, Aid, Idea, Advise, Said, Ads, Aide, Save, Avid, Saved, Vie, Side, Dive, Aside
Sky-Cloud 7: Chrome, Come, Hem, Hero, Her, Echo, Home, More, Chore, Ore, Homer, Hoe, Core
Sky-Cloud 8: Lain, Hail, Line, Nail, Heal, Alien, Lean, Inhale, Lane
Sky-Cloud 9: Slur, Sour, Rosy, Your, Sourly, Our, You, Soy, Sly, Ours, Surly, Lousy
Sky-Cloud 10: Skimp, Spy, Ski, Skip, Skimpy, Sky, Imps, Spiky, Skim
Sky-Cloud 11: Con, Cons, Son, Locus, Sun, Soul, Consul
Sky-Cloud 12: Coed, Credo, Cod, Code, Coder, Decor, Ode, Rode, Rod, Doc, Redo, Red, Doe, Order, Cord, Record, Cored
Sky-Cloud 13: Not, Yon, Torn, North, Horn, Try, Thorn, Thorny, Ton, Toy
Sky-Cloud 14: Taco, Octave, Cave, Covet, Cat, Toe, Coat, Veto, Act, Vet, Vote, Cove, Eat
Sky-Cloud 15: Eel, Steel, Settle, Lest, Tees, Lets, Set, See, Let, Else, Sleet
Sky-Cloud 16: Arch, Crab, Branch, Ranch, Barn, Bran, Carb

Wordscapes Sky Answers

Sky-Sun 1: Hoot, Pot, Onto, Hoop, Photo, Photon, Top, Opt, Hop, Ooh
Sky-Sun 2: Aloud, Land, Loan, Load, Undo, Dual, Unload, Loud
Sky-Sun 3: Doe, Odd, Code, Ode, Cod, Coded, Coed, Cede, Decode, Deed, Doc
Sky-Sun 4: Drawn, Onward, Worn, Wand, Word, Drown, Warn, Road, Draw, Adorn, Down, Radon, Ward, Dawn
Sky-Sun 5: Ice, Fail, Calf, Life, Cafe, Flea, Facile, Leaf, Lie, File, Lace, Face, Ace, Elf
Sky-Sun 6: Tee, Rent, Ten, Tree, Green, Greet, Net, Gent, Genre, Enter, Gene, Regent, Teen
Sky-Sun 7: Heyday, Yea, Head, Had, Aye, Hay, Dye, Hey, Yeah, Day, Heady
Sky-Sun 8: Late, Latter, Alter, Are, Tear, Rattle, Earl, Rat, Rate, Tar, Era, Tart, Ear, Treat, Later, Art, Let, Real, Alert, Tale
Sky-Sun 9: Sore, Cores, Rose, Ores, Score, Soccer
Sky-Sun 10: Tea, Gated, Get, Date, Gadget, Tag, Gate, Tagged, Tad, Egg, Aged, Ate, Eat, Gag
Sky-Sun 11: Rips, Strip, Trip, Iris, Spirit, Spit, Pits, Tips, Trips
Sky-Sun 12: Arc, Oar, Macro, Carol, Cram, Camo, Moral, Ram, Oral, Arm, Coral, Calm, Molar, Clamor, Cola, Car, Mar, Clam, Roam
Sky-Sun 13: Why, Whims, Swim, His, Him, Wish, Sim, Whimsy
Sky-Sun 14: Kin, Thin, Knight, King, Ink, Think, Git, Tin, Thing, Night, Hit, Knit, Hint
Sky-Sun 15: Bottom, Moot, Boom, Tomb, Boot, Motto
Sky-Sun 16: Veer, Live, Eve, Rile, Liver, Revel, Vile, Eel, Lever, Reel, Relive, Leer, Evil, Veil

Wordscapes Tropic Answers

Tropic-Shore 1: Eject, Reject, Erect, Tee, Jeer, Jet, Tree
Tropic-Shore 2: Sure, True, Trust, Use, User, Truest, Rut, Sue, Rust, Test, Rest, Set, Strut, Ruse
Tropic-Shore 3: Tie, Yet, Ninety, Yen, Tiny, Nine, Tin, Nit, Tinny
Tropic-Shore 4: Gels, Lens, Lines, Single, Legs, Isle, Liens, Lies, Singe, Line, Sine, Sling, Sing, Glen, Sign
Tropic-Shore 5: Grill, Grille, Ire, Leg, Gill, Rile, Girl, Rig
Tropic-Shore 6: Lime, Mobile, Mil, Mile, Limb, Limbo, Bio, Mob, Oil, Limo, Lobe, Elm, Bile, Lob
Tropic-Shore 7: Deeds, Eddies, Did, Side, Died, Seed, Sided, See
Tropic-Shore 8: Flow, Fallow, Flaw, Wolf, Fowl, Loaf, Allow, Fall
Tropic-Shore 9: Eve, Even, Van, Avenue, Vane, Venue, Nave
Tropic-Shore 10: Duel, Dune, Bled, Bend, Bundle, Lend, Nude, Lube, Blue, Blend
Tropic-Shore 11: Rant, Roan, Tram, Moan, Roman, Norm, Mart, Roam, Atom, Moat, Torn, Matron, Manor
Tropic-Shore 12: Act, That, Hatch, Thatch, Chat, Hat, Hah, Cat, Tact
Tropic-Shore 13: Slum, Alum, Lam, Mauls, Sum, Yam, May, Slay, Say, Alms, Lay, Sly, Asylum, Slam
Tropic-Shore 14: Heap, Cape, Peachy, Hype, Chap, Ache, Each, Peach, Cheap
Tropic-Shore 15: Rent, Recent, Ten, Teen, Net, Enter, Cent, Erect, Tern
Tropic-Shore 16: Aunt, Tans, Stun, Tuna, Nuts, Aunts, Suntan, Nuns

Wordscapes Tropic Answers

Tropic-Frond 1: Stub, Bust, Buy, Tub, Subtly, Sub, Sly, Bus, Lust, Busy, Lusty, But
Tropic-Frond 2: Lied, Delis, Slice, Disc, Lice, Iced, Slid, Sliced, Idle, Lies, Lids, Sled, Side, Dice, Slide
Tropic-Frond 3: Led, Dud, Dueled, Elude, Eel, Dude, Eluded, Deed
Tropic-Frond 4: Simple, Lips, Limes, Pies, Elms, Limps, Miles, Pile, Piles, Slime, Smile, Slip, Slim, Isle
Tropic-Frond 5: Red, Gel, Ledge, Greed, Reed, Gee, Elder, Edge, Glee, Ledger, Deer, Leer
Tropic-Frond 6: Love, Core, Lover, Cove, Clover, Lore, Role, Cover, Clove, Over, Rove
Tropic-Frond 7: System, Stems, Yes, Stem, Messy, Sets, Mess, Met
Tropic-Frond 8: Demo, Tome, Meet, Deem, Mode, Demote, Dome, Emote
Tropic-Frond 9: Sonic, Cons, Coin, Scion, Scan, Cans, Ions, Casino, Icon
Tropic-Frond 10: Rotate, Tart, Tote, Tear, Tarot, Rate, Trot, Tort, Rote, Tore, Treat, Otter
Tropic-Frond 11: Horn, Par, Pan, Orphan, Hop, Oar, Ran, Harp, Apron, Nor, Rap
Tropic-Frond 12: Tons, Snot, Stony, Toon, Sooty, Nosy, Soot, Soon, Snooty, Onto
Tropic-Frond 13: Wives, Views, Vise, Evils, Vie, View, Lie, Lives, Live, Slew, Veils, Vile, Evil, Wise, Sew, Swivel
Tropic-Frond 14: Grin, Gain, Grain, Rain, Rang, Nary, Angry, Rangy, Grainy, Rainy
Tropic-Frond 15: Sun, Wines, News, Sine, Swine, Sewn, New, Wine, Sin, Wins, Unwise, Wise, Sew, Win
Tropic-Frond 16: Snide, Send, Singed, Dine, Dens, Dings, Ends, Digs, Ding, Design, Signed, Dines

Wordscapes Tropic Answers

Tropic-Palm 1: Net, Per, Tee, Peer, Teen, Rent, Repent, Enter, Tree, Ten, Preen
Tropic-Palm 2: Made, Owed, Wade, Meow, Mowed, Awed, Meadow, Mead, Dame
Tropic-Palm 3: Uses, Moss, Sues, Some, Muses, Mouse, Sums, Mousse, Muse
Tropic-Palm 4: Sure, Ruse, Free, Fees, Refuse, Reefs, Seer, Fuse, Reuse, User, Refs, Surf, Reef, Furs
Tropic-Palm 5: Lass, Asp, Spas, Pal, Sap, Splash, Slap, Spa, Has, Lap, Ash, Sash, Pass, Lash, Pals, Slash
Tropic-Palm 6: Let, Molt, Emote, Meet, Motel, Elm, Omelet, Melt, Toe, Tome, Mole
Tropic-Palm 7: Pit, Stir, Strip, Trips, Script, Tics, Rip, Pics, Sip, Sit, Its, Tips, Crisp, Spit, Sir
Tropic-Palm 8: Sift, Shift, Fits, First, Shrift, Hits, Fish, Fist, Rift, Stir, This, Firs, Shirt
Tropic-Palm 9: Orca, Can, Car, Racoon, Arc, Coo, Corn, Acorn, Corona, Con
Tropic-Palm 10: Gopher, Rope, Hero, Gore, Grope, Ogre, Pore, Hope, Repo
Tropic-Palm 11: Poet, Pot, Tip, Pet, Tiptoe, Tie, Petit, Tote, Tot, Opt, Top
Tropic-Palm 12: Eels, Edge, Sled, Legs, Else, Seed, Sledge, Ledge, Gels
Tropic-Palm 13: Alt, Sat, Salt, Last, Vat, Slat, Say, Vast, Stay, Vastly, Lat, Lay, Salty, Slay
Tropic-Palm 14: Belt, Treble, Beret, Leer, Reel, Beer, Beet, Rebel
Tropic-Palm 15: Rain, Sir, Air, Ran, Rains, Raisin, Airs, Iris
Tropic-Palm 16: Solve, Hovel, Hoes, Holes, Lose, Vole, Hose, Loves, Hole, Shoe, Shovel, Sole, Shove

Wordscapes Tropic Answers

Tropic-Beach 1: Gorge, Log, Ogre, Egg, Leg, Gore, Ego, Role, Logger, Gel, Lore
Tropic-Beach 2: Blow, Bowl, Below, Elbow, Blob, Blew, Lobe, Wobble
Tropic-Beach 3: Any, Jaunt, Jut, Jay, Ant, Tan, Tau, Nut, Tuna, Nay, Jaunty, Aunt
Tropic-Beach 4: Pole, Dole, Polo, Loped, Poodle, Looped, Pled, Pool, Pooled, Loop, Dope
Tropic-Beach 5: Revoke, Reek, Rove, Evoke, Over, Veer, Ever
Tropic-Beach 6: Side, Sled, Diesel, Lid, Idle, Deli, See, Else, Led, Lie, Slid, Isle, Eel, Seed, Slide
Tropic-Beach 7: Cot, Taco, Art, Roar, Cat, Act, Oat, Carrot, Actor, Tar, Coat, Rat, Cart, Rot
Tropic-Beach 8: Fillet, Filet, File, Left, Tile, Till, Fell, Fill, Life, Felt, Lite, Lilt, Lift
Tropic-Beach 9: Cargo, Oar, Cougar, Ago, Rug, Orca, Rag, Arc, Car, Cog, Our
Tropic-Beach 10: Blaze, Blazer, Raze, Zebra, Earl, Ear, Bear, Able, Lab, Ale, Bar, Zeal, Bra, Era
Tropic-Beach 11: Canny, Ran, Any, Racy, Cranny, Cry, Ray, Yarn, Cay, Nan, Nary
Tropic-Beach 12: Says, Gals, Gassy, Lags, Glassy, Glass, Sags, Slay, Lays
Tropic-Beach 13: City, Itchy, Itch, Icy, Mythic, Myth, Thy, Hit, Him
Tropic-Beach 14: Sort, Stoke, Store, Sore, Rote, Rots, Tore, Stroke, Rose, Rest, Trek
Tropic-Beach 15: Tic, Recite, Tie, Tire, Rice, Ice, Erect, Cite, Ire, Rite, Tier
Tropic-Beach 16: Hear, Hard, Here, Hare, Deer, Reed, Dare, Header, Adhere, Heed, Read, Herd, Heard, Dear

Wordscapes Tropic Answers

Tropic-Coast 1: Ease, Wags, Awes, Sage, Sewage, Ewes, Gees, Ages, Wage, Wages, Swag
Tropic-Coast 2: Punks, Spunky, Spunk, Spun, Puny, Puns, Sunk, Punk
Tropic-Coast 3: Sues, Sue, Lute, Use, Tussle, Less, Let, Set, Lest, Lusts
Tropic-Coast 4: Chap, Heap, Apace, Each, Pace, Apache, Cheap, Cape, Peach, Ache
Tropic-Coast 5: Ice, Tic, Site, Sect, Cities, Sit, Its, Tie, Cites
Tropic-Coast 6: Patio, Pita, Pout, Iota, Atop, Auto, Utopia
Tropic-Coast 7: From, Mar, Foam, Afro, Farm, Oar, Ram, Loaf, Form, Roam, Molar, Arm, Fro, Formal, Loam, For, Moral, Oral, Lam
Tropic-Coast 8: User, Runs, Urns, Reuse, Ensue, Sure, Ruse, Ensure, Sneer, Seen, Seer, Nurse
Tropic-Coast 9: Laden, Head, Held, Hand, Heal, Lean, Dean, Land, Lend, Lane, Handle
Tropic-Coast 10: Dull, Dell, Allude, Duel, Lead, Dual, Deal, Ladle, Dale
Tropic-Coast 11: Oven, Con, Coy, Yon, Once, Convey, Cone, Envoy, Cove, Envy, Covey, Yen
Tropic-Coast 12: Sweet, Newest, News, Nest, Tees, Went, Tense, West, Stew, Sewn, Teen, Wets, Sent, Tens, Tween
Tropic-Coast 13: Tally, Flay, Tall, Lat, Flat, Lay, Alt, Aft, Flatly, Fat, Fall, Fly
Tropic-Coast 14: Toys, Storm, Most, Rots, Story, Rosy, Stormy, Sort
Tropic-Coast 15: Late, Hall, Halt, Lethal, Lathe, Teal, Hate, Heat, Hell, Tell, Tale
Tropic-Coast 16: Relay, Realty, Tear, Teary, Real, Alert, Later, Alter, Year, Rely, Rate, Tray, Arty, Earl, Early, Layer

Wordscapes Mountain Answers

Mountain-Crest 1: Does, Toes, Desk, Doe, Ode, Sod, Toe, Stoked, Stoke, Dose, Dote
Mountain-Crest 2: Ore, Trove, Vortex, Overt, Rote, Voter, Veto, Over, Vet, Rove, Tore, Rot
Mountain-Crest 3: Sore, Smoke, Some, Ores, Smoker, Rose, More, Rem
Mountain-Crest 4: Dare, Rapped, Paper, Read, Prep, Pear, Dear, Reap, Pared, Drape, Dapper
Mountain-Crest 5: Bilge, Rile, Girl, Lie, Gel, Rib, Gerbil, Brig, Big, Bile, Glib, Brie
Mountain-Crest 6: Lied, Edit, Tide, Idle, Tied, Lute, Tiled, Dilute, Deli, Duel, Diet, Duet
Mountain-Crest 7: Tick, City, Kit, Icky, Skit, Sticky, Ski, Icy, Cyst, Sick, Sky
Mountain-Crest 8: Flint, Flinty, Flit, Nifty, Lift, Lint, Tiny
Mountain-Crest 9: Emit, Met, Veto, Omit, Motive, Vie, Toe, Item, Movie, Vote, Tome, Mite, Mote, Move
Mountain-Crest 10: Worn, Neon, Wren, Renown, Owner, None, Wore
Mountain-Crest 11: Nice, Clue, Uncle, Line, Lice, Lien, Nuclei
Mountain-Crest 12: Lure, Hurl, Duel, Hurdle, Herd, Ruled, Held, Rude, Rule, Hurled, Lured
Mountain-Crest 13: Tomboy, Boot, Mob, Boom, Moot, Toy, Boy, Booty, Too, Tomb, Moo
Mountain-Crest 14: Unit, Tuna, Auntie, Aunt, Tine, Neat, Untie, Tune, Anti, Unite
Mountain-Crest 15: Rig, Grief, Urge, Fur, Fir, Fire, Rife, Rug, Figure, Ire, Rue
Mountain-Crest 16: Ires, Tries, Sire, Tire, Tier, Vest, Rest, Rite, Rise, Vets, Rivet, Site, Stir, Strive

Wordscapes Mountain Answers

Mountain-Fjord 1: Bios, Bodes, Ode, Does, Bio, Bid, Bodies, Bod, Bed, Side, Dose, Bide
Mountain-Fjord 2: Trod, Runt, Dour, Donut, Round, Torn, Unto, Tour, Undo, Rotund, Turn
Mountain-Fjord 3: Guy, Ugly, Gun, Lungs, Gnu, Snugly, Lug, Slung, Sung, Slug, Sun, Snug
Mountain-Fjord 4: Redo, Deaf, Fedora, Fared, Adore, Dare, Afro, Read, Fore, Ford, Fare, Fear, Doer, Fade, Rode
Mountain-Fjord 5: Bola, Ballot, Toll, Bloat, Tall, Blot, Boat, Atoll, Boll, Bolt
Mountain-Fjord 6: Tins, Suit, Stun, Units, Nuts, Nits, Squint, Quits
Mountain-Fjord 7: Hulls, Hull, Sully, Lushly, Sly, Lush, Shy
Mountain-Fjord 8: Abroad, Bard, Board, Aboard, Road, Broad, Boar, Drab
Mountain-Fjord 9: Loan, Loon, Son, Also, Soon, Saloon, Solo, Salon
Mountain-Fjord 10: Puts, Tush, Typhus, Huts, Push, Thus, Shut, Pushy
Mountain-Fjord 11: Ace, Lance, Lean, Lace, Ale, Can, Clean, Clan, Cane, Acne, Cancel
Mountain-Fjord 12: Peer, Here, Seer, Reps, Sphere, Sheer, Seep, Hers, Spree, Peers, Sheep
Mountain-Fjord 13: Defuse, Sue, Due, Use, Feed, Feud, Fed, Fee, See, Seed, Used, Fuse, Fused, Suede, Sued
Mountain-Fjord 14: Blare, Able, Hare, Hear, Herb, Bare, Earl, Blah, Rehab, Herbal, Bear, Bale, Heal
Mountain-Fjord 15: Moat, Atom, Tram, Armor, Roar, Mortar, Mart, Roam
Mountain-Fjord 16: Oust, Clots, Colts, Locus, Lotus, Slot, Cult, Lout, Lust, Colt, Clot, Scout, Cost, Locust, Lots, Lost, Clout, Soul

Wordscapes Mountain Answers

Mountain-Climb 1: Ail, Rail, Air, Lid, Dial, Rad, Raid, Laid, Aid, Liar, Lair, Arid, Lard, Lizard, Lad
Mountain-Climb 2: Seer, Resume, Serum, Mere, Seem, Reuse, Ruse, Muse, Sure, User
Mountain-Climb 3: Tart, Strata, Rat, Start, Art, Star, Stat, Sat
Mountain-Climb 4: Track, Rake, Care, Rack, Crate, Racket, React, Trace, Acre, Race, Trek, Cake, Cater, Creak, Taker, Tack
Mountain-Climb 5: Cry, Creep, Creepy, Pry, Rep, Peer, Pyre, Prey, Rye, Yep, Crepe
Mountain-Climb 6: Sail, Soil, Oils, Social, Silo, Coils, Ails, Coals, Cola
Mountain-Climb 7: Gray, Rang, Ran, Gal, Any, Lag, Lay, Gnarly, Gnarl, Rag, Yarn, Nary, Angry, Nag
Mountain-Climb 8: Lien, File, Life, Line, Elfin, Flee, Feel, Fine, Feline
Mountain-Climb 9: Rove, Rodeo, Drove, Dove, Door, Odor, Over, Roved, Overdo
Mountain-Climb 10: Beck, Brick, Biker, Crib, Rib, Brie, Ire, Bicker, Ice, Bike
Mountain-Climb 11: Won, Worth, Torn, Own, Hot, Throw, Worn, Who, How, Tow, Town, Thrown, Thorn, Now, Rot, Horn, North
Mountain-Climb 12: Rasp, Spar, Spur, Pars, Rubs, Burps, Pubs, Subpar, Raps, Bras
Mountain-Climb 13: Tot, Mutt, Out, Mutton, Not, Tout, Mount, Ton, Nut
Mountain-Climb 14: Russet, Truss, Ruse, Set, Rut, Ruts, True, Sure, Rue, Surest, Users, Sue, Rust, Rest, Use
Mountain-Climb 15: Duel, Deluxe, Led, Due, Exude, Eel, Elude
Mountain-Climb 16: Prep, Hipper, Ripe, Piper, Heir, Pier, Hire, Pipe

Wordscapes Mountain Answers

Mountain-Scale 1: Airs, Firs, Fairs, Afar, Fair, Safari, Fir, Sir, Far
Mountain-Scale 2: Late, Dealt, Teal, Tale, Deal, Delta, Dale, Lead, Elated
Mountain-Scale 3: Lip, Mill, Imp, Imply, Limp, Limply, Ill, Lily, Ply, Pill
Mountain-Scale 4: Deer, Redo, Need, Rode, Rend, Redone, Reed, Nerd, Erode, Doer, Drone
Mountain-Scale 5: Tee, Tree, Retest, Seer, Steer, Terse, Tester, Reset, Tees, Street, Test, Setter
Mountain-Scale 6: Opal, Laud, Aloud, Upload, Load, Dual, Loud
Mountain-Scale 7: Wits, Wise, Ties, Sits, Sews, Sets, Sites, Wets, Stews, Wisest, West
Mountain-Scale 8: Melt, Molt, Tome, Rote, Role, Mole, Merlot, Tore, Metro, Term, Motel
Mountain-Scale 9: All, Gallon, Anglo, Gall, Along, Log, Long, Ago, Goal, Loan
Mountain-Scale 10: Easy, Dyes, Seat, Date, East, Days, Stayed, Stay, Yeast, Steady, Eats, Sated, Teas
Mountain-Scale 11: Coed, Come, Decoy, Mode, Code, Dome, Comedy, Demo
Mountain-Scale 12: Says, Lass, Sacs, Lacy, Scaly, Class, Slay, Lays, Classy, Clay
Mountain-Scale 13: Sat, Swatch, Watch, Swat, Was, Ash, Wash, Act, Has, Saw, Thaw, Swath, Sac, What, Hat, Cat, Cast, Cash, Chat
Mountain-Scale 14: Ante, Innate, Anti, Tine, Nine, Inane, Neat
Mountain-Scale 15: Lode, Olden, Noel, Loon, Node, Doe, Dole, Ode, Done, Lone, Noodle, Old, Den, Led, Lend
Mountain-Scale 16: Oral, Molt, Alto, Molar, Moat, Mortal, Atom, Moral, Tram, Mart, Malt, Loam

Wordscapes Mountain Answers

Mountain-Peak 1: Fort, Forge, Forte, Fore, Frog, Fret, Forget
Mountain-Peak 2: Bard, Buds, Bars, Dabs, Bards, Dubs, Drab, Absurd, Rubs, Bras, Drub
Mountain-Peak 3: Arrive, Rear, Ear, Rare, Rave, Era, River, Ire, Air, Via
Mountain-Peak 4: Ring, Rang, Range, Gainer, Rage, Gain, Rain, Rein, Earn, Anger, Grain, Near, Grin, Regain, Reign
Mountain-Peak 5: Ore, Jogger, Gore, Jog, Ego, Ogre, Egg, Gorge
Mountain-Peak 6: Sent, Teen, Nets, East, Nest, Neat, Sane, Seen, Tense, Tease, Tans, Ante, Eats, Eaten, Seat, Senate, Ease
Mountain-Peak 7: Gal, Gel, Leg, Legal, Yea, Ale, Yell, Ally, Alley, Aye, Lag, Gale, Lay, Lye, Galley
Mountain-Peak 8: Lids, Lots, Told, Slid, Stolid, Toil, Solid, Idol, Slot, List, Lost, Soil, Silt, Sold, Slit, Silo, Oils, Dots
Mountain-Peak 9: Aced, Cede, Aces, Eased, Case, Cease, Ceased, Seed
Mountain-Peak 10: Rely, Really, Year, Real, Lyre, Earl, Relay, Early, Rally, Layer
Mountain-Peak 11: Flay, Lair, Fray, Airy, Fail, Fairly, Frail, Fairy, Liar, Flair, Rail
Mountain-Peak 12: Croc, Sour, Occurs, Scour, Ours, Succor, Occur
Mountain-Peak 13: Mine, Mid, Denim, End, Dine, Mend, Medic, Din, Dime, Dice, Minced, Den, Men, Mince, Dim, Mind, Ice, Mice, Nice, Mined
Mountain-Peak 14: Hoes, Soothe, Host, Shoot, Shot, Shoe, Sooth, Those, Hose, Hoot, Soot, Toes, Ethos, Shoo
Mountain-Peak 15: Piles, Lies, Slip, Veils, Isle, Pies, Pelvis, Vile, Live, Lisp, Evil, Lips
Mountain-Peak 16: Elder, Lied, Idle, Ride, Reel, Dire, Relied, Riled, Leer, Deli, Rile
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