prompt engineering

On the Edge: The Art of Risking Everything

by Nate Silver  · 12 Aug 2024  · 848pp  · 227,015 words

for length. GO TO NOTE REFERENCE IN TEXT some deliberate randomization: Eric Glover, “Controlled Randomness in LLMs/ChatGPT with Zero Temperature: A Game Changer for Prompt Engineering,” AppliedIngenuity.ai: Practical AI Solutions (blog), May 12, 2023, appliedingenuity.substack.com/p/controlled-randomness-in-llmschatgpt. GO TO NOTE REFERENCE IN TEXT it’s

The Coming Wave: Technology, Power, and the Twenty-First Century's Greatest Dilemma

by Mustafa Suleyman  · 4 Sep 2023  · 444pp  · 117,770 words

be created. Who would have thought that “influencer” would become a highly sought-after role? Or imagined that in 2023 people would be working as “prompt engineers”—nontechnical programmers of large language models who become adept at coaxing out specific responses? Demand for masseurs, cellists, and baseball pitchers won’t go away

The Measure of Progress: Counting What Really Matters

by Diane Coyle  · 15 Apr 2025  · 321pp  · 112,477 words

s­ ervices, including digital-­related work. Th ­ ere are multiple categories of ­painter, for example, but none to rec­ord specific digital jobs, such as prompt engineer. Chapters 3 to 5 discuss further t­ hese aspects of the increasing digitalisation and weightlessness of the economy. One inherent challenge in interpreting standard statistics

Command and Control: Nuclear Weapons, the Damascus Accident, and the Illusion ofSafety

by Eric Schlosser  · 16 Sep 2013  · 956pp  · 267,746 words

written and concise. John McPhee’s The Curve of Binding Energy (New York: Farrar, Straus & Giroux, 1974) not only has great literary merit, it also prompted engineers at Sandia to confront the possibility that terrorists might try to steal a nuclear weapon. Martin J. Sherwin and John McPhee were both professors of

A Pipeline Runs Through It: The Story of Oil From Ancient Times to the First World War

by Keith Fisher  · 3 Aug 2022

seek outside investment to enable it to continue its exploratory drilling – the French Rothschilds and Standard Oil were among the possible candidates – the British government promptly engineered a rescue of the company. The Admiralty, for its part, was anxious to keep this potential source of fuel oil in British hands. The Foreign

A Brief History of Motion: From the Wheel, to the Car, to What Comes Next

by Tom Standage  · 16 Aug 2021  · 290pp  · 85,847 words

in Chicago on Thanksgiving Day, November 28, 1895, it was sponsored by the Chicago Times-Herald and offered a $5,000 prize. All these competitions prompted engineers and drivers to try to outdo one another, advancing the state of the automotive art and providing publicity for manufacturers, in a motor-racing tradition

These Strange New Minds: How AI Learned to Talk and What It Means

by Christopher Summerfield  · 11 Mar 2025  · 412pp  · 122,298 words

.ai/. *6 Lewis et al., 2021. *7 Scheurer et al., 2022. *8 https://medium.com/@lucasantinelli3/analysing-the-effects-of-politeness-on-gpt-4-soft-prompt-engineering-70089358f5fa. 33. The Perils of Personalization Relationships between people are built on trust. As we spend time with others, we learn about their hopes, desires

AI in Museums: Reflections, Perspectives and Applications

by Sonja Thiel and Johannes C. Bernhardt  · 31 Dec 2023  · 321pp  · 113,564 words

(‘Say the image’), which in turn contains everything that ultimately forms the visual result in the urinal, respectively the artwork. In this context, so-called prompt engineering is relevant, which refers to the process of carefully crafting prompts or inputs for a machine learning model in order to achieve a desired output

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a specific task or goal.3 The prompt contains the idea and functions as a concept, and prompt engineering is thus the actual artistic act that precedes the resulting work of art. In other words: prompt engineering becomes an actual artistic skill in itself and probably the actual artistic act as such. The installation

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Wishing Well transfers Nake’s concept to the age of generative multimodal AI technologies. By means of the prompt, the artistic piece is created 3 Prompt engineering is particularly important in natural language processing (NLP), where models are often used to generate text based on the input given. By carefully selecting and

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that it is coherent, relevant, and accurate. Yannick Hofmann and Cecilia Preiß: Say the Image, Don’t Make It practically on demand. Against this backdrop, prompt engineering may gain relevance as a future professional field. The implications that accompany this will be addressed specifically as part of section 4 (‘Ethical Implications’) of

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used, there are overarching debates surrounding issues such as the potential loss of jobs, particularly for illustrators, who may feel threatened by the technology of prompt engineering and text-to-image generators. The development of new text-to-image generators could, however, also lead to the emergence of new professions and the

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can be understood as a case study for the possibilities and implications of interactive installations that use cutting-edge AI technologies based on so-called prompt engineering. In this text, it becomes clear that such AI technologies have the potential to function as vehicles for co-creativity with museum visitors. On the

Amateurs!: How We Built Internet Culture and Why It Matters

by Joanna Walsh  · 22 Sep 2025  · 255pp  · 80,203 words

about words. ‘I would like to write like painting,’ wrote Hélène Cixous in 1983.12 But what does it look like to paint like writing? Prompt engineering has become an actual job, not only in making AI images for fun, but in training AI, which is all about categorisation. As in the

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modes, amateur adoption, 16 professional skills, bypassing, 215 professional status, desire for, 3 professionalisation, 14 professionalism, amateurised, 1 profiles, 7 proletarian amateurs, 8, 9–10 prompt engineering, 114 Propp, Vladimir, 160 public voice, 195 public/private division, 16 purposive purposelessness, 44–5 Quaranta, Domenico, 22 race, and gender, 166 racialised language use

Co-Intelligence: Living and Working With AI

by Ethan Mollick  · 2 Apr 2024  · 189pp  · 58,076 words

classrooms. Some pundits go further, arguing that we need to focus on working with AI. We should, they argue, teach basic AI literacy, and probably “prompt engineering,” about the art and science of creating good prompts for AIs. Teaching about AI In 2023, many companies advertised six-figure salaries for “AI whisperer

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number of courses, instruction manuals, and YouTube channels offering the knowledge you (yes, YOU) need to get rich today. To be clear, prompt engineering is likely a useful near-term skill. But I don’t think prompt engineering is so complicated. You actually have likely read enough at this point to be a good

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to the user (or student) to drive and make the journey, reinforcing the collaborative nature of learning with AI. Much improved, due to a little prompt engineering. However, all of this remains much less a science than an art, and AIs still work more like people than software. For example, in a

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it can be biased or wrong or can be used unethically. However, rather than distorting our education system around learning to work with AI via prompt engineering, we need to focus on teaching students to be the humans in the loop, bringing their own expertise to bear on problems. We know how