Theology

Theology, managed by Theo Priestley, critically examines the convergence of business, technology, and society. It features insights into emerging trends, strategic foresight, and the implications of artificial intelligence, with a focus on ethical concerns, future operating systems, and the value of data in business and societal contexts.

Business and Technology Intersection Emerging Trends Analysis Artificial Intelligence and Ethics Strategic Foresight Climate Change Perspectives Data Utilization in Business Futurism and Speculative Narratives AI in Space and Operating Systems Impact of AI on Society

The hottest Substack posts of Theology

And their main takeaways
11 implied HN points 23 Jul 23
  1. Climate change is a natural force that will continue over millennia, unaffected by human actions.
  2. Efforts to mitigate climate change with technology or political will are unlikely to alter its course.
  3. The vast timescales of Earth's evolutionary cycles dwarf any impact humans can make on climate change.
3 implied HN points 10 Nov 23
  1. Operating systems in AI and space industries need to be updated for future needs and challenges
  2. Decentralized and modular design, real-time capabilities, and open-source models are essential for new operating systems
  3. Integration of AI at a deeper level, resource optimization, security enhancements, and autonomous operation are key for future OS design
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3 implied HN points 04 Apr 23
  1. Open-sourced AI can be dangerous when unregulated and in the hands of individuals who may use it for harmful purposes.
  2. The proliferation of open-source AI projects without proper ethical boundaries makes it challenging for regulators to monitor and control its potential risks.
  3. There is a significant concern over the unintended consequences of developers creating and sharing homebrew versions of AI models, leading to a lack of understanding and control over the technology's impact.
11 implied HN points 26 Sep 20
  1. Theology newsletter focuses on the intersection of business, technology, and society.
  2. Managed by Theo Priestley, a futurist with extensive experience in tech industries.
  3. The publication offers emerging trend insights and unfiltered opinions.
0 implied HN points 26 Jan 25
  1. Having a mission is more fulfilling than just having a job. People thrive when they feel their work has purpose beyond just earning a paycheck.
  2. Engaging with clients and listening to their stories can lead to better product development and marketing strategies. It's about understanding real needs, not just making sales.
  3. Being critical and honest in your field can drive change and innovation. Writing and speaking authentically helps challenge the status quo and inspire others.
0 implied HN points 28 Oct 24
  1. Building a lunar economy is mainly about solving logistics, not just technology or funds. We need better systems to transport goods to the Moon efficiently.
  2. The Moon should be viewed as a launchpad for further space exploration, helping to protect humanity from potential threats on Earth. We need to create a sustainable presence there.
  3. Having a good logistics network is essential for a thriving lunar community. This means using existing skills from Earth, like those of truck drivers, to manage space transport and maintain operations.
0 implied HN points 26 Jan 25
  1. To effectively use AI agents in a business, you need a 'Conductor' to coordinate them. Just like an orchestra needs a conductor to keep everything in sync, businesses need someone to ensure AI agents work well together.
  2. Having multiple AI agents can get messy without proper management. You need defined rules and processes so these agents know their roles and responsibilities to avoid chaos.
  3. Using AI can be complicated and can incur costs you might not expect. It's important to be able to track and manage these costs separately to understand if you're really saving money compared to hiring people.
0 implied HN points 26 Jan 25
  1. Different AI services have complicated pricing models that make it hard to budget. This can lead to unexpected costs every month.
  2. It's tough to compare different AI vendors since their pricing isn't standardized. You might not even know if you're paying for the same features with different companies.
  3. Trying to manage multiple AI platforms can be a headache. In the end, the savings you expect might vanish due to the effort needed to track everything.