Explore diverse predictions for our technological future, from warnings of an AI investment bubble and technofascism to proposals for radical new computing hardware and a movement for '100% human' content.
Will AI eliminate programming jobs? A deep dive into why the role is more likely to evolve towards engineering oversight, verification, and system design, rather than disappear.
An analysis of why LLMs are currently better suited to augment engineers than replace executives, focusing on the critical roles of accountability, human leadership, and true innovation that AI cannot yet fulfill.
Will AI empower a new generation of freelance entrepreneurs, or will it create a boom in full-time jobs dedicated to fixing AI-generated code? Explore the competing visions for the future of tech work.
As AI coding assistants become more prevalent, many developers express sadness about losing the creative aspects of their job. This analysis explores the debate, from fears of becoming a bored reviewer to the pragmatic view of AI as a tool for automating tedious tasks.
Experienced software engineers discuss the real impact of AI on their careers, offering practical advice on how to adapt, specialize, and find meaning beyond the hype.
An analysis of the modern university's credibility, exploring the tension between its role as a job credential versus a place for learning, and the impact of AI on employer trust.
While AI dominates the conversation, major breakthroughs in autonomous robotics and quantum computing are on the horizon. Explore how these technologies could automate physical labor and revolutionize materials science.
An analysis of the arguments against the idea that AI-induced Universal Basic Income (UBI) will solve homelessness, exploring the complexities of addiction, mental health, inflation, and the political hurdles.
Developers discuss the real-world impact of AI on their careers. The consensus points to a shift from writing code to high-level engineering, system design, and managing AI-generated complexity.