The power of sound

Ideators typically generate ideas through words and images: "In the beginning was the word" or, "a picture says more than a thousand words". Or the dialogue between language (verbal) and visualisation (non-verbal), also described as the picture-word-cycle. Interestingly, the architect Frank Lloyd Wright, in 1930, worked on his lectures for Princeton University: 'I must say I have enjoyed writing them'. The six lectures didn't need images, he added. 'Personally, I've never cared much for illustrated lectures. If we might have some good music to begin with and end with - that might help'. Yet Wright's writing and public lecture series provided a new outlet for his ideas. Moreover, on the power of music, the pianist and conductor Daniel Barenboim, in the first of his five BBC Reith Lectures, in 2013, argued, in examining the transformative power of music in the world: 'In the beginning, there was silence. And out of the silence came the sound'. Furthermore, it has been said that in the beginning was sound. Sound began the whole thing, and in sound resides tremendous power. It opens doorways to other realities, for with the production of sound, energy can move from one system to another. Now, there's a thought for ideators: The power of sound stirring imagination and innovation. Source: Wright quote: Alofsin, A (2019) Wright and New York. New Haven: Yale University Press. Barenboim: https://danielbarenboim.com/the-phenomenon-of-sound/

GenAI feeds ideation

Generative artificial intelligence, GenAI is already being employed as a tool by designers in what is referred to as machine co-creativity and augmented design, with the technology not only facilitating ideation but also used as a visioning tool (text-to-image software) for community engagement for public project. But there are limits to GenAI applications, notably issues of context, quality and data bias. That is, GenAI ‘learns’ by analysing existing data so it is afflicted by evidence of in-built bias - which highlights the risk of, say, relying on GenAI for a housing concept. That is, while GenAI is useful as a tool for designers to help create an architectural image, or to generate a seamless to-do-list for housing developers, it is not a blueprint for a complete building scheme, notably for aspects of detailing or from a structural engineering perspective, for which BIM (Building Information Modelling) is typically used as interface for a unified design environment.

Unmeasurable ideas

'A great building', wrote the architect Louis Kahn (1901-1974), 'must begin with the unmeasureable, go through measurable means when it is being designed, and in the end must be unmeasurable'. The same thinking, arguably, may be applied to ideation. That is, ideas that spring, or emerge out of dreams or relatedness. And whether the idea takes centre stage or appears in the margins, first thoughts seem unmeasurable. But, in the development of an idea, measurable means are employed to make the idea visible or comprenhensible, and this in order to express and communicate the idea, visually or verbally. And only as far as the idea is made real, that is, realised, does it become measurable. But not necessarily so because ideas often carry intangible qualities in which case the idea, in the end, must remain unmeasurable. Could it be then that the measureable idea begins where dreams end?

AI as co-design partner

Co-design, or participatory design is an approach to design which focuses on processes and procedures of design. It has been used in many settings and at various scales. Rooted in work with trade unions in the Nordic countries, this approach has also a political dimension of user empowerment and democratisation. From this persepctive, co-design requires the end user's participation: not only in decision making but also in idea generation. Moreover, it is argued that designers create more innovative ideas and concepts when working within a co-design environment with others than they do when creating ideas on their own. Interestingly, AI has now entered co-design environments through large language models, LLMs, such as chatbots, which are a type of artificial intelligence algorithm that uses deep learning techniques and masive data sets to understand, summarise, generate and predict new content. LLMs, then, are able to process vast amounts of text data, mostly harvested from the Internet providing a basis to generate and communicate new ideas and concepts. Moreover, LLMs use natural language to simulate human conversation.The model, then, as a conversational chatbot becomes effectively a co-design partner.

Synthetic ideation

Synthetic media is a catch-all term to describe video, image, text, or voice that has been fully or partially generated using artificial intelligence. So, synthetic media includes ideas that have been fully or partially generated and presented using generative artificial intelligence, GAI. Conversely, non-synthetic media can be any other media, that is, media that is produced by human input. Take a freehand idea sketch, for example. Drawn entirely by a human, the rough sketch would fall under non-synthetic media, or non-synthetic ideation. Now think of a human-generated freehand sketch which has been digitised and where an GAI image editor is used to add a feature to the sketch. This new (altered) image is partially generated by AI (the picture being modified by algorithms), and we can thus say the idea, as represented by the image is “synthetic.” Ideas thus generated, or synthetic ideation may pose the question; "who is better at ideation - GAI or human?" GAI has brought a revolution in image editing, that is, a technology that turns manual image editing processes into automtic or semi-automatic actions. GAI, then, in drawing on a vast and varied image bank (datasets), and at speed, is a powerful ideation tool. Yet GAI is not a simple substitute for human decision-making and to fully appreciate the idea, the discerning eye (judgement) will be human, at least for now.

Return of analogue design tools

The pandemic put constraints and limitations on in-person studio and workshop activites. But UK's top-rated architecture schools, The Bartlett and The Architectural Association, AA, at their respective end-of-year exhibition 2023, demonstrated a strong return to studio-based working and the use of analogue tools, such as freehand drawing, collaging, and physical modelling. At the Bartlett, the summer show incorporated a diverse range of student physical models, hand drawings and installations encouraging a thoughtful dialogue between students and visitors about the future of architecture and its part to play in shaping the world we live in. Similarly, the AA Projects Review expressed the variety of ways that the AA units and programmes explore physical objects. As part of the projects created by the students, they represented a year of physical experimentation across the school, and exploited a vast range of techniques and materials. Models within these projects were the result of a hands-on, iterative process that uncovers new methods of exploring the built environment. Thinking, doing and making in anlogue modes in architecture schools, then, have returned in a significant way, which is not to say that the use and power of digital tools have diminished but rather that analogue and digital tools and outcomes complement each other. Indeed, in addressing the many challenges to architects today - environmental, socio-cultural or economic, the students of both schools displayed skillful and imaginative use of both analogue and digital tools to materialise, fabricate and communicate their designs. Both shows are on view online.

Pandora - box & aidiom

According to Silicon Valley mythology, Alphabet, the giant of Big Tech, and owner of Google, got so angry when TikTok, the video hosting service stole a march on Google-owned YouTube and gifted it to mankind. And so, Alphabet decided humans needed to be punished for this. Alphabet commanded Google, its search engine arm, to create a version of artificial intelligence- an AI-powered image generator, GenAI in short. Crafted from silicon, and trained on terabytes of web crawl data from across the internet, GenAI received the gifts of wisdom, beauty, kindness, peace, generosity, and health from Alphabet and the other tech giants. Or so it was thought. But GenAI was also taught lying and trickery as evidenced in social media, such as Facebook, Twitter and Instagram. Yet the tech giants decided that GenAI carried gifts for the humans. Humans, moreover, were created to be curious, and couldn’t stay away from GenAI and the urge to apply it to everyday life. But horrible things then flew out of GenAI, including greed, envy, hatred, pain, disease, hunger, poverty, war, and death. All of life’s miseries had been let out into the world. The last thing remaining inside GenAI was hope. Ever since, humans have been able to hold onto this hope in order to survive the wickedness that GenAI had let out. Note: In Greek mythology, Pandora’s box was a large jar carried by Pandora who forgot the warning that the jar contained all manner of misery and evil. She opened the jar, from which the evils flew out over the earth. Hope alone remained inside. Pandora still serves as a cautionary tale about the complexities of human nature, the consequences, and responsibility of curiosity, the inevitability of suffering, and the importance of hope.