Archive

2007 Human-Level AI Survey Context

Context for old Bruce Klein AGI World survey links about when AI may surpass human-level intelligence with source notes and caution.

This page is a neutral archive note for old links to a 2007 AGI World or Bruce Klein survey about forecasts for human-level AI. It is included because external references have cited the old novamente.net/bruce/?p=54 path.

Novamente AI Lab is an independent new project. This page does not republish the original post, does not speak for the original author, and does not claim affiliation with the former Novamente LLC.

Why this old link appears in references

The old survey link was cited in later discussions of AI forecasting and expert opinion. Readers landing here are probably trying to understand a historical reference, not use it as a current forecast.

If you need the original document, look for a primary archive, author-owned copy, or paper citation rather than treating this page as a replacement for the historical post.

How to read it today

Use the survey as historical context for AI forecasting, not as a current prediction. AI capabilities, deployment patterns, and safety debates have changed substantially since 2007. Modern teams should use dated evidence, uncertainty notes, and retesting rather than treating any one forecast as durable.

Forecasts also need audience context. A survey about when AI may surpass human-level intelligence is not the same as an operational answer about whether a particular model, agent, or workflow is ready for production use.

Modern reliability lesson

Forecasting AI timelines and launching AI workflows have the same failure mode: unsupported confidence. Good practice requires evidence, assumptions, uncertainty ranges, review, and updates when conditions change.

For current workflow decisions, use Source-Backed AI Writing to preserve evidence, Benchmark Methodology to avoid unsupported rankings, Model Pricing Change Tracker to handle stale tool assumptions, and Weekly AI Workflow Operating System to keep decisions under review.