Plutonic Rainbows

My new book arrived today: Prompt Engineering for Generative AI, a new publication focusing on the application of large language models (LLMs) and diffusion models. I do think O’Reilly books are overpriced, but they do offer publications on very specialised topics.

I added some React animations to an app I am working on. It looks completely different to how I was originally using it. Last year, I was basically sending all my json requests via the terminal.

I also added a simple React animation to this site. The title should now sweep into view.

I couldn’t get out to exercise today because it was raining on and off, so I spent many hours working on prompting templates for Flux. I finally managed to send my fleece off for repairs. It’s still a brilliant piece of winter clothing, so letting a few rusty zips stop me from using it seemed rather wasteful.

Inspired by Walpole Bay; seaweed, white flowers and salt water collected on 25th March 2014, (sunny day).

Reminiscent of an uninhabited bay; man-made structures that bridge land and sea and a crisp fragrance of salt, sweet pea and musk.

In the next five years, the landscape of AI-related jobs will evolve significantly as artificial intelligence becomes more deeply integrated into industries. Traditional roles in IT and data science will increasingly focus on AI-specific tasks, such as training, fine-tuning, and managing machine learning models. Positions like AI Ethics Officers and AI Compliance Specialists will emerge to address ethical concerns and ensure regulatory compliance in AI development and deployment. Additionally, roles such as Prompt Engineers will become more prominent, focusing on crafting precise instructions to guide generative AI systems. As businesses strive to leverage AI responsibly and effectively, demand for professionals skilled in interdisciplinary collaboration—bridging AI technology with areas like healthcare, finance, and education—will grow.

Creative and design roles will also transform as AI takes on more of the heavy lifting in content creation. Positions like AI-Assisted Creators or AI Content Curators will focus on guiding and enhancing AI-generated outputs rather than starting from scratch. Similarly, technical roles like AI Maintenance Specialists will focus on troubleshooting and optimising AI systems in real-time. New jobs like Synthetic Data Engineers will become crucial for generating high-quality data to train AI systems while maintaining privacy. Overall, there will be a significant shift towards roles that combine technical expertise with creativity, critical thinking, and ethical considerations to ensure AI is deployed to its fullest potential while mitigating risks.