Rarely Used Power Words

There is a list of 30 English words which are rarely used, powerful, and should be available to any writer appearing in the June 22, 2023 issue of Literature News and contributed by Alka. I think this is quite a good list, because all of them have a clear, crisp meaning, and while they may be rarely used, they aren’t obscure. Interestingly, none is an adverb. How many are familiar?

1. Abstruse (adj.): Difficult to understand; obscure.
Sentence 1: The professor’s abstruse lecture on quantum physics left the students bewildered.
Sentence 2: The book contained an abstruse passage that required multiple readings to grasp its meaning.

2. Acrimonious (adj.): Harsh in nature, speech, or behaviour.
Sentence 1: The divorce proceedings became acrimonious as the couple fought over their assets.
Sentence 2: The debate turned acrimonious as the politicians exchanged personal insults.

3. Alacrity (n.): Willingness to do something quickly and enthusiastically.
Sentence 1: Sarah accepted the job offer with alacrity, excited to start her new role.
Sentence 2: The team responded to the coach’s halftime pep talk with renewed alacrity on the field.

4. Ameliorate (v.): To make something better or improve a situation.
Sentence 1: The doctor’s treatment plan ameliorated the patient’s symptoms and enhanced their well-being.
Sentence 2: The charity’s efforts to provide clean water to the village ameliorated the living conditions of the residents.

5. Assiduous (adj.): Showing great care, attention to detail, and perseverance in one’s work.
Sentence 1: The assiduous researcher spent countless hours in the lab conducting experiments.
Sentence 2: The author’s assiduous editing process ensured that the final manuscript was flawless.

6. Clandestine (adj.): Done secretly or in a concealed manner, often implying something illicit or forbidden.
Sentence 1: The spies met in a clandestine location to exchange classified information.
Sentence 2: The couple planned a clandestine rendezvous under the moonlit sky.

7. Conundrum (n.): A difficult or confusing problem or question.
Sentence 1: Solving the puzzle proved to be a conundrum even for the most experienced players.
Sentence 2: The ethical conundrum presented in the novel forced the protagonist to make a challenging decision.

8. Deleterious (adj.): Harmful or damaging to health, well-being, or success.
Sentence 1: Smoking has been proven to have deleterious effects on both physical and mental health.
Sentence 2: The company’s deleterious financial decisions led to its eventual bankruptcy.

9. Ephemeral (adj.): Lasting for a short period; transitory or fleeting.
Sentence 1: The beauty of cherry blossoms is ephemeral, as the flowers bloom for only a few weeks each year.
Sentence 2: The actor’s fame was ephemeral, as he quickly faded into obscurity after his initial success.

10. Equanimity (n.): Calmness, composure, and evenness of temper, especially in difficult situations.
Sentence 1: Despite the chaos around her, she maintained her equanimity and approached the problem with a clear mind.
Sentence 2: The leader’s equanimity during the crisis reassured the team and helped them stay focused.

11. Esoteric (adj.): Intended for or understood by only a small group with specialised knowledge or interest.
Sentence 1: The professor’s lecture on advanced mathematics was esoteric, and only a few students could follow along.
Sentence 2: The book delved into esoteric philosophies that were beyond the comprehension of most readers.

12. Exacerbate (v.): To make a problem, situation, or condition worse or more severe.
Sentence 1: The hot weather exacerbated the drought, leading to further water shortages.
Sentence 2: His careless comments only served to exacerbate the tensions between the two families.

13. Fervent (adj.): Intensely passionate or enthusiastic.
Sentence 1: The artist had a fervent desire to create meaningful and thought-provoking artwork.
Sentence 2: The politician delivered a fervent speech that inspired the crowd and ignited their patriotic spirit.

14. Gregarious (adj.): Fond of the company of others; sociable.
Sentence 1: Mark was known for his gregarious nature and always enjoyed hosting parties.
Sentence 2: The gregarious puppy wagged its tail and eagerly greeted every person it encountered.

15. Idiosyncrasy (n.): A distinctive or peculiar feature, behaviour, or characteristic that is unique to an individual or group.
Sentence 1: John had the idiosyncrasy of wearing mismatched socks every day.
Sentence 2: The small coastal town had its idiosyncrasies, including a yearly festival dedicated to seashells.

16. Impervious (adj.): Not allowing something to pass through or penetrate; incapable of being affected or influenced.
Sentence 1: The fortress was built with thick walls that were impervious to enemy attacks.
Sentence 2: Despite the criticism, her confidence remained impervious, and she continued pursuing her dreams.

17. Languid (adj.): Lacking energy or enthusiasm; slow and relaxed in manner.
Sentence 1: After a long day at work, she enjoyed taking a languid stroll by the beach to unwind.
Sentence 2: The hot summer afternoon made everyone feel languid and drowsy.

18. Melancholy (n.): A feeling of deep sadness or pensive sorrow, often with no obvious cause.
Sentence 1: As she watched the sunset, a sense of melancholy washed over her, and she reflected on the passing of time.
Sentence 2: The hauntingly beautiful melody carried a tinge of melancholy that touched the hearts of all who listened.

19. Myriad (adj.): Countless or innumerable; a large, indefinite number.
Sentence 1: The garden was adorned with myriad flowers, each displaying its vibrant colours and delicate petals.
Sentence 2: The old bookstore housed a myriad of books, spanning various genres and eras.

20. Nebulous (adj.): Vague, hazy, or indistinct in form or outline; lacking clarity.
Sentence 1: The concept of time is nebulous, as it is difficult to define precisely.
Sentence 2: The artist’s abstract painting featured nebulous shapes and colours, allowing viewers to interpret it in their own way.

21. Obfuscate (v.): To make something unclear, confusing, or difficult to understand.
Sentence 1: The lawyer attempted to obfuscate the facts to create doubt in the minds of the jurors.
Sentence 2: The politician’s speech was filled with jargon and obfuscating language to avoid addressing the issue directly.

22. Panacea (n.): A solution or remedy that is believed to solve all problems or cure all ills.
Sentence 1: Some people view education as a panacea for societal issues and inequality.
Sentence 2: The new product was marketed as a panacea for ageing, promising to reverse all signs of wrinkles and fine lines.

23. Querulous (adj.): Complaining or whining in a petulant or irritable manner.
Sentence 1: The querulous customer was dissatisfied with every aspect of the service and demanded a refund.
Sentence 2: The child’s querulous tone annoyed the teacher, who asked him to speak with respect.

24. Reticent (adj.): Inclined to keep silent or reserved; not revealing one’s thoughts or feelings readily.
Sentence 1: Despite the intense questioning, the witness remained reticent and refused to disclose any further information.
Sentence 2: The usually reticent boy opened up to his best friend, sharing his deepest fears and insecurities.

25. Sagacious (adj.): Having or showing keen mental discernment and good judgment; wise and shrewd.
Sentence 1: The sagacious old man offered valuable advice based on his years of experience.
Sentence 2: The CEO’s sagacious decision to invest in new technology propelled the company to unprecedented success.

26. Taciturn (adj.): Reserved or inclined to silence; habitually silent or uncommunicative.
Sentence 1: The taciturn loner preferred solitude and rarely engaged in conversations with others.
Sentence 2: Despite his taciturn nature, his eyes spoke volumes, revealing the emotions he kept hidden.

27. Ubiquitous (adj.): Present, appearing, or found everywhere.
Sentence 1: In today’s digital age, smartphones have become ubiquitous, accompanying people in every aspect of their lives.
Sentence 2: The fragrance of freshly brewed coffee was ubiquitous in the café, enveloping the space with its comforting aroma.

28. Vacillate (v.): To waver or hesitate in making a decision or choice; to be indecisive.
Sentence 1: She vacillated between accepting the job offer and pursuing further education.
Sentence 2: The committee’s members vacillated for hours, unable to agree on a course of action.

29. Wanton (adj.): Deliberate and without motive or provocation; reckless or careless.
Sentence 1: The wanton destruction of the historic monument outraged the community.
Sentence 2: The driver’s wanton disregard for traffic rules led to a dangerous accident.

30. Zealot (n.): A person who is fanatical and uncompromising in pursuit of their religious, political, or other beliefs.
Sentence 1: The religious zealot preached his beliefs on street corners, attempting to convert passersby.
Sentence 2: The political zealot refused to consider alternative viewpoints and dismissed any opposing opinions as invalid.

AI Wins Prize

An article in today’s RTÉ website titled: “Japan literary laureate unashamed about using ChatGPT” caught my eye. There is no author contribution shown.

“The winner of Japan’s most prestigious literary award has acknowledged that about “5%” of her futuristic novel was penned by ChatGPT, saying generative AI had helped unlock her potential.

Since the 2022 launch of ChatGPT, an easy-to-use AI chatbot that can deliver an essay upon request within seconds, there have been growing worries about the impact on a range of sectors – books included.

Lauded by a judge for being “almost flawless” and “universally enjoyable”, Rie Kudan’s latest novel, “Tokyo-to Dojo-to” (“Sympathy Tower Tokyo”), claimed the biannual Akutagawa Prize yesterday.

Set in a futuristic Tokyo, the book revolves around a high-rise prison tower and its architect’s intolerance of criminals, with AI a recurring theme.

The 33-year-old author openly admitted that AI heavily influenced her writing process as well.

“I made active use of generative AI like ChatGPT in writing this book,” she told a ceremony following the winner’s announcement.

“I would say about 5% of the book quoted verbatim the sentences generated by AI.”

Outside of her creative activity, Ms Kudan said she frequently toys with AI, confiding her innermost thoughts that “I can never talk to anyone else about”.

ChatGPT’s responses sometimes inspired dialogue in the novel, she added.

Going forward, she said she wants to keep “good relationships” with AI and “unleash my creativity” in co-existence with it.

When contacted by AFP, the Society for the Promotion of Japanese Literature, the Akutagawa award’s organiser, declined to comment.

On social media, opinions were divided on Ms Kudan’s unorthodox approach to writing, with sceptics calling it morally questionable and potentially undeserving of the prize.

“So she wrote the book by deftly using AI … Is that talented or not? I don’t know,” one wrote on X, formerly known as Twitter.

But others celebrated her resourcefulness and the effort she put into experimenting with various prompts.

“So this is how the Akutagawa laureate uses ChatGPT – not to slack off but to ‘unleash creativity'”, another social media user wrote.

Titles that list ChatGPT as a co-author have been offered for sale through Amazon’s e-book self-publishing unit, although critics say the works are of poor quality.

British author Salman Rushdie told a press conference at the Frankfurt Book Fair in October that recently someone asked an AI writing tool to produce 300 words in his style.

“And what came out was pure garbage,” said the “Midnight’s Children” writer, to laughter from the audience.

The technology also throws up a host of potential legal problems.

Last year, John Grisham, Jodi Picoult and “Game of Thrones” author George RR Martin were among several writers who filed a class-action lawsuit against ChatGPT creator OpenAI over alleged copyright violation.

Along with the Authors Guild, they accused the California-based company of using their books “without permission” to train ChatGPT’s large language models, algorithms capable of producing human-sounding text responses based on simple queries, according to the lawsuit.”

From my point of view, the use of AI to produce literature must sort out the copyright problem. When that issue has been resolved, using AI to write, or co-write, books will be accepted as commonplace, legal and ethical. We human beings have always adopted new technology, even dangerous technology, having found the good in it.

Fighting AI

There is an article in Monday’s issue of the Daily Telegraph concerning a lawsuit filed by the New York Times against Microsoft and Open AI that, on the face of it, is about imitating copyright news articles. But what is at stake is whether an artificial intelligence company could ‘train’ its software on the works of, say, Salman Rushdie, and then produce new Salmon Rushdi titles without paying the author any royalty. The article which bears the title “Silicon Valley’s mimicry machines are trying to erase authors” is written by Andrew Orlowski who is a technology journalist who writes a weekly Telegraph column every Monday. He founded the research network Think of X and previously worked for The Register. 

Andrew Orlowski

Orlowski says, “Silicon Valley reacts to criticism like a truculent toddler throwing its toys out of the pram. But acquiring a bit of humility and self-discipline may be just what the child needs most. 

So the US tech industry should regard a lawsuit filed last week as a great learning experience.

The New York Times last week filed a copyright infringement against Microsoft and Open AI. 

The evidence presented alleges that ChatGPT created near-identical copies of the Times’ stories on demand, without the user first paying a subscription or seeing any advertising on the Times’ site. 

ChatGPT “recites Times content verbatim, closely summarizes it, and mimics its expressive style”, the suit explains.

In other words, the value of the material that the publisher generates is entirely captured by the technology company, which has invested nothing in creating it.

This was exactly the situation that led to the creation of copyright in the Statute of Anne in 1710, which first established the legal right to copyright for an author. Then, it was the printing monopoly that was keeping all the dosh.

The concept of an author, a subjective soul who viewed the world in a unique way, really arrived with the Enlightenment.

Now, the nerds of Silicon Valley want to erase it again. Attempts to do just that have already made them richer than anything a Stationer’s Guild member could imagine.

“Microsoft’s deployment of Times-trained LLMs (Large Language Models) throughout its product line helped boost its market capitalization by trillions of dollars in the past year alone,” the lawsuit notes, adding that OpenAI’s value has shot from zero to $90bn. 

With Open AI’s ChatGPT models now built into so many Microsoft products, this is a mimicry engine built on a global scale.

More ominously, the lawsuit also offers an abundance of evidence that “these tools wrongly attribute false information to The Times”. The bots introduce errors that weren’t there in the first place, it claims. 

They “hallucinate”, to use the Cambridge Dictionary’s word of the year. Publishers who are anxious about the first concern – unauthorised reproduction – should be even more concerned about the second.

Would a publisher be happy to see their outlet’s name next to a ChatGPT News response that confidently asserts, for example, that Iran has just launched cruise missiles at US destroyers? Or at London? 

These are purely hypotheticals but being the newspaper that accidentally starts World War III is not something that can be good for the brand in the long run.

Some midwit pundits and academics portrayed the lawsuit merely as a tactical licensing gambit. 

This year both Associated Press and the German giant Axel Springer have both cut licensing deals with Open AI. The New York Times is just sabre rattling in pursuit of a better deal, so the argument goes.

In response to the lawsuit, OpenAI insisted it respects “the rights of content creators and owners and [is] committed to working with them to ensure they benefit from AI technology and new revenue models”.

However, the industry is worried about much more than money.

Take, for example, the fact that the models that underpin ChatGPT need only to hear a couple of seconds of your child’s voice to clone it authentically. AI does not need to return the next day to perfect their impression. After that, it has a free hand to do what it will with its newfound ability.

So, the economic value of a licensing deal is impossible to estimate beforehand. And once done, it cannot be undone. As one publishing technology executive puts it, “you can’t un-bake the cake”.

Previous innovations in reproduction, from the photocopier to Napster, were rather different beasts, as the entrepreneur and composer Ed Newton-Rex noted this week. Past breakthroughs were purely mechanical or technological changes. But this new generation of AI tools marry technology with knowledge.

“They only work *because* their developers have used that copyrighted content to train on,” Newton-Rex wrote on Twitter, since rebranded as X. (His former employer, Stability AI, is also being sued for infringement).

Publishers and artists are entitled to think that without their work, AI would be nothing. This is why the large AI operations – and the investors hoping to make a killing from them – should be getting very nervous. They have been negligent in ignoring the issue until now.

“Until recently, AI was a research community that enjoyed benign neglect from copyright holders who felt it was bad form to sue academics,” veteran AI journalist Timothy B Lee wrote recently on Twitter. “This gave a lot of AI researchers the mistaken impression that copyright law didn’t apply to them. “It doesn’t seem out of the question that AI companies could lose these cases catastrophically and be forced to pay billions to plaintiffs and rebuild their models from scratch.”

Would wipe-and-rebuild be such a bad thing?

Today’s generative AI is just a very early prototype. Engineers regard a prototype as a learning experience too: it’s there to be discarded.  Many more prototypes may be developed and thrown away until a satisfactory design emerges. A ground-up rebuild can in some cases be the best thing that can happen to a technology product. There’s certainly plenty of room for improvement with this new generation of AI models. 

A Stanford study of ChatGPT looking at how reliable the chatbot was when it came to medicine found that less than half (41 percent) of the responses to clinical conditions agreed with the known answer according to a consensus of physicians. The AI gave lethal advice 7 per cent of the time.

A functioning democracy needs original reporting and writing so that we all benefit from economic incentives for creativity. We must carry on that Enlightenment tradition of original expression. 

Some may find such arguments pompous and any piety from the New York Times difficult to swallow. But there are bigger issues at stake. 

A society that gives up on respect for individual expression, and chooses to worship a mimicry machine instead, probably deserves the fate that inevitably awaits.”