Ryerson Project
Ryerson Project Item 139
I personally believe it will be possible to build Artificial General Intelligence. (Artificial General Intelligence refers to a computer system that could learn to complete any intellectual task that a human being could.)
American adults' average (mean) response was 6.29 on a scale of 0 (Disagree) to 10 (Agree). 1,169 responses have been collected (so far) from 2026-05-11 to 2026-08-26.
Descriptive Statistics
| Mean | 6.29 |
|---|---|
| Median | 7.00 |
| Standard deviation | 2.79 |
| N | 1,169 |
| Standard error | 0.082 |
All-Time Distribution
Comparison to Other Items
Based on all-time mean agreement, this item ranks 68 out of 132 qualifying items and is at the 48.9 percentile.
Qualifying items have 100 or more total observations. Higher means indicate more agreement and therefore a higher rank.
Monthly Trend
Observed Trend
Observations suggest unchanging agreement over the observed period, from 2026-05-11 to 2026-08-26. The estimated change over that period is -0.025 points on a 0 to 10 scale. Regression results place a 95% confidence interval around that observed-period change of [-0.621, 0.572].Regression table
The daily slope annualized over 365.25 days is -0.085 points per year, with a 95% confidence interval of [-2.121, 1.951]. This short-window annualized number is provided for reference, but the observed-period change above is the primary trend estimate.
Call:
lm(formula = response_value ~ days_since_start, data = model_data)
Residuals:
Min 1Q Median 3Q Max
-6.2996 -1.2938 0.7044 1.7201 3.7252
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 6.2995736 0.1606839 39.205 <2e-16 ***
days_since_start -0.0002318 0.0028413 -0.082 0.935
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 2.79 on 1167 degrees of freedom
Multiple R-squared: 5.703e-06, Adjusted R-squared: -0.0008512
F-statistic: 0.006655 on 1 and 1167 DF, p-value: 0.935