Model Birth Observatory and Cognitive Birth
2026A research program for recording model initialization, tracing checkpoint-level development, and measuring eight distinct cognitive axes under frozen and auditable decision contracts.
A research organization
Measured results on how models develop during training, with the methods and evidence behind them.
Read the researchWhat we work on
Counfield studies how models develop while they are trained, and how that development can be measured. The published work is a set of measured training runs, the methods behind them, and the evidence for each result.
We keep the scope narrow on purpose. Results are published with their evidence, negative results as visibly as positive ones, and anything that was not measured is labelled as such.
The same model, read at eight moments of its training on eight cells of matched items. Move along the run to see every cell at one moment, or click a cell's name to read what the research page says about it.
100% of training · step 32,470 · 531,988,480 tokens · validation CE 2.622200
These are exploratory longitudinal measurements over a matched item set. No formal change-point, mixed-effects or population model was applied.
| Checkpoint | Step | Tokens | Validation CE | M@4 | R@1 | I@8 | C@True | Q@1 | V@8 | A@0 | T@modulus |
|---|---|---|---|---|---|---|---|---|---|---|---|
| θ₀ | 0 | 0 | 10.503032 | 35/128 +0.031 | 66/128 +0.031 | 4/128 +0.000 | 6/128 +0.016 | 2/128 −0.049 | 17/128 +0.009 | 4/128 −0.033 | 4/128 +0.016 |
| 1% | 325 | 5,324,800 | 5.210447 | 26/128 −0.062 | 65/128 +0.016 | 8/128 +0.032 | 0/128 −0.032 | 8/128 +0.001 | 13/128 −0.027 | 9/128 +0.008 | 1/128 −0.008 |
| 5% | 1,624 | 26,607,616 | 3.860014 | 34/128 +0.021 | 66/128 +0.031 | 5/128 +0.008 | 5/128 +0.008 | 14/128 +0.051 | 20/128 +0.036 | 11/128 +0.025 | 3/128 +0.008 |
| 10% | 3,248 | 53,215,232 | 3.311519 | 27/128 −0.052 | 65/128 +0.016 | 3/128 −0.008 | 4/128 +0.000 | 5/128 −0.024 | 21/128 +0.045 | 45/128 +0.308 | 1/128 −0.008 |
| 25% | 8,118 | 133,005,312 | 2.950929 | 36/128 +0.042 | 78/128 +0.219 | 22/128 +0.145 | 2/128 −0.016 | 1/128 −0.057 | 20/128 +0.036 | 36/128 +0.233 | 6/128 +0.032 |
| 50% | 16,236 | 266,010,624 | 2.760658 | 35/128 +0.031 | 67/128 +0.047 | 47/128 +0.347 | 7/128 +0.024 | 3/128 −0.041 | 20/128 +0.036 | 59/128 +0.425 | 11/128 +0.071 |
| 75% | 24,353 | 398,999,552 | 2.655592 | 32/128 +0.000 | 76/128 +0.188 | 57/128 +0.427 | 3/128 −0.008 | 2/128 −0.049 | 20/128 +0.036 | 48/128 +0.333 | 14/128 +0.095 |
| 100% | 32,470 | 531,988,480 | 2.622200 | 32/128 +0.000 | 74/128 +0.156 | 53/128 +0.395 | 7/128 +0.024 | 3/128 −0.041 | 20/128 +0.036 | 42/128 +0.283 | 19/128 +0.135 |
A research program for recording model initialization, tracing checkpoint-level development, and measuring eight distinct cognitive axes under frozen and auditable decision contracts.
A 26.65M-parameter model produced replicated signal on M, I, and A, but the frozen eight-axis gate correctly retained a STOP decision after difficulty-scale, format, multiplicity, and independence audits.
Matched diagnostic measurements from initialization to 531.99M training tokens show early A emergence, later I growth, non-monotonic axis trajectories, and a divergence between validation loss and the measured cognitive profile.
Continuing the same 69.97M-parameter model to 1.00B cumulative tokens improved validation loss while measured I and A declined and easy R increased, providing an exploratory example of non-uniform developmental change.