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 6.24 on a scale of 0 (Disagree) to 10 (Agree). 1,058 responses have been collected (so far) from 2026-05-11 to 2026-08-06.
Descriptive Statistics
| Mean | 6.24 |
|---|---|
| Median | 7.00 |
| Standard deviation | 2.80 |
| N | 1,058 |
| Standard error | 0.086 |
All-Time Distribution
Comparison to Other Items
Based on all-time mean agreement, this item ranks 64 out of 123 qualifying items and is at the 48.4 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 2026-08-06. The estimated change over that period is -0.378 points on a 0 to 10 scale. Regression results place a 95% confidence interval around that observed-period change of [-0.959, 0.203].Regression table
The daily slope annualized over 365.25 days is -1.588 points per year, with a 95% confidence interval of [-4.027, 0.852]. 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
-6.4309 -1.3472 0.6256 1.8821 3.9473
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 6.430888 0.171807 37.431 <2e-16 ***
days_since_start -0.004347 0.003404 -1.277 0.202
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 2.801 on 1056 degrees of freedom
Multiple R-squared: 0.001542, Adjusted R-squared: 0.0005965
F-statistic: 1.631 on 1 and 1056 DF, p-value: 0.2019