diff --git a/dreamer4/dreamer4.py b/dreamer4/dreamer4.py
index 351db4e..8435d70 100644
--- a/dreamer4/dreamer4.py
+++ b/dreamer4/dreamer4.py
@@ -1253,7 +1253,7 @@ class DynamicsModel(Module):
         image_height = None,
         image_width = None,
         return_decoded_video = None,
-        context_signal_noise = 0.1    # they do a noising of the past, this was from an old diffusion world modeling paper from EPFL iirc - todo: handle this
+        context_signal_noise = 0.1    # they do a noising of the past, this was from an old diffusion world modeling paper from EPFL iirc
     ): # (b t n d) | (b c t h w)
 
         assert log2(num_steps).is_integer(), f'number of steps {num_steps} must be a power of 2'
@@ -1280,9 +1280,11 @@ class DynamicsModel(Module):
             for step in range(num_steps):
                 signal_levels = torch.full((batch_size, 1), step * step_size, dtype = torch.long, device = self.device)
 
-                noised_latent_with_context, pack_context_shape = pack((latents, noised_latent), 'b * n d')
+                noised_context = latents.lerp(torch.randn_like(latents), context_signal_noise) # the paragraph after eq (8)
 
-                signal_levels_with_context = F.pad(signal_levels, (curr_time_steps, 0), value = self.max_steps - 1) # todo - handle noising of past
+                noised_latent_with_context, pack_context_shape = pack((noised_context, noised_latent), 'b * n d')
+
+                signal_levels_with_context = F.pad(signal_levels, (curr_time_steps, 0), value = self.max_steps - 1)
 
                 pred = self.forward(
                     latents = noised_latent_with_context,
diff --git a/dreamer4/trainers.py b/dreamer4/trainers.py
index b15ff8a..c450ee5 100644
--- a/dreamer4/trainers.py
+++ b/dreamer4/trainers.py
@@ -1,3 +1,17 @@
 import torch
+from torch.nn import Module
 
 from accelerate import Accelerator
+
+from dreamer4.dreamer4 import (
+    VideoTokenizer,
+    DynamicsModel
+)
+
+class VideoTokenizerTrainer(Module):
+    def __init__(
+        self,
+        model: VideoTokenizer
+    ):
+        super().__init__()
+        raise NotImplementedError
diff --git a/pyproject.toml b/pyproject.toml
index ede90a7..8e92774 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "dreamer4"
-version = "0.0.3"
+version = "0.0.4"
 description = "Dreamer 4"
 authors = [
     { name = "Phil Wang", email = "lucidrains@gmail.com" }