HeyJaredPathways to Transformation
Pathways to Transformation is a weekly newsletter dedicated to inspiring designers and (r)evolutionaries from diverse backgrounds. Each edition curates thought-provoking content that explores the multifaceted nature of transformation.
- Indexed issues, last 90 days
- 13
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- Oct 1, 2026
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- Jul 9, 2026
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The ‘intelligence’ of iteration (opens the original)
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Generative adversarial networks, or GANs, are a great example of how machine intelligence learns to generate. A GAN consists, broadly speaking, of two neural networks playing different roles. One is the generator. Its job is to create something: an image, for example, that resembles the examples it has been trained on. The other is the discriminator. Its job is to distinguish between what is real and what has been generated.These two networks become ‘adversaries’ in a game of intelligence ping-p
Sh*t In, Sh*t Out (opens the original)
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There is a wonderfully crass (and very true) principle from ICT and process management that deserves a serious place in the conversation about artificial intelligence: the “sh*t in, sh*t out” principle. Aka “garbage in, garbage out”. Basically it says that if you feed garbage into a process or a system, you will get garbage as an outcome.The quality of an AI system is not simply a property of the algorithm. It is a product of the interaction between the system and the data on which it has been t
The Questions We Didn’t Know We Had (opens the original)
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One of the strange things about transformation is that we often imagine we know the questions at the get-go. Things like: What should we automate? What should we upgrade or evolve? Where should we use AI? How will this affect our business? But in real transformation, the important questions often arrive later as they emerge through experience, trial and error or simply the insight that comes from actually doing.There are multiple examples of this: like when we begin using a new (AI) tool and dis
Urgency is NOT agency (opens the original)
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As new technology spreads at high speed and starts feeling unavoidable., many of us develop a sense urgency. Either because we feel a FOMO -fear of missing out- emerging or because we sense doom and gloom and the end of what is.We hear that everything is changing. That AI will transform work, education, management, creativity, economies, perhaps even what it means to be human. The message comes at us from every direction: adapt or be left behind. Learn the tools, automate now, reskill and move f
The AI Kodak Moment (opens the original)
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Remember Kodak? Their story reveals some clues about AI, relationships, and the future we're actually building. Kodak is usually presented as a cautionary tale about failing to innovate. The irony, of course, is that Kodak invented the first digital camera in 1975. They saw the future before almost anyone else. Their problem was not lack of ingenuity or technical prowess. The issue was that they simply couldn’t imagine a world where the business they had mastered would no longer be the business
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