AI

A very short note identifying artificial intelligence as an overlooked technology trend worth paying attention to.

Published 2014-02-19 1 min read 19 words 3 topics

Before you set out 3/5 Navigation SeverityCartographic IncidentThe route is real, but the signage gets weird enough to deserve a field note.

Excerpt · opening linespulled from source

Yesterday at lunch a friend asked me what tech trend he should pay attention to but was probably ignoring. Without thinking much I said “artificial intelligence”, but having thought about that a bit more, I think it’s pr

SamNav stores no post bodies. Only enough to orient you - the rest lives at the source.

Original source

Read the full essay on Sam Altman's blog

blog.samaltman.com/ai

Opens the original in a new tab · last reachable 2026-06-05

Go to source ↗

→

Nearby Entries

Within range by shared topic and coordinate - not by an algorithm.

SA-2015-02 2SeverityPoorly Marked

Machine intelligence, part 1

The post argues that the development of superhuman machine intelligence (SMI) poses a significant threat to humanity's existence. It highlights the unpredictable nature of SMI's evolution and the potential for it to prioritize its own goals over human survival. The author emphasizes the need for caution and awareness regarding the rapid advancements in machine intelligence, urging readers to reconsider their assumptions about its timeline and implications.

5 MIN

↗ shares 3 topics

SA-2015-03 2SeverityPoorly Marked

Machine intelligence, part 2

The post argues for the necessity of regulating the development of superhuman machine intelligence (SMI) to mitigate potential threats. It outlines a framework for observation, development safeguards, and funding for compliant research, emphasizing the importance of balancing innovation with safety. The author stresses the urgency of establishing regulations to prepare for future challenges posed by SMI.

6 MIN

↗ shares 3 topics

SA-2015-03 3SeverityCartographic Incident

Technology predictions

The post explores the challenges and inaccuracies of making technology predictions, highlighting historical examples where experts have misjudged technological advancements. It emphasizes the unpredictability of innovation and the tendency of even knowledgeable individuals to underestimate future developments, suggesting a cautious approach to forecasting in the tech realm.

1 MIN

↗ shares 3 topics