Explore the provocative concept of LLM agents calling humans as on-demand tools. This analysis delves into its plausibility, economic and ethical implications, and alternative approaches for a future where AI and humans collaborate.
Explore predictions for a future where AI, robotics, and quantum computing become commodities. Will we face mass unemployment and widespread poverty, or find niche human roles amidst technological abundance?
Explore how AI's independence from human productivity tools like SaaS could disrupt economies, leading to job shifts and a re-evaluation of value towards "high-tema" human interactions. Discover potential future scenarios where efficiency and richness are rebalanced.
Explore why universal basic income (UBI) may not end criticism of AI, delving into issues of human purpose, UBI's practical challenges, and deeper societal transformations.
Explore a bold vision for education where teachers invest capital in students for equity in their future ventures, eliminating student debt and fostering long-term, outcome-driven mentorship. This model challenges traditional tuition, proposing a risk-sharing approach aligned with future power-law outcomes.
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.