diff --git a/README.md b/README.md
index 0ec4a0d64..60a08c6c7 100644
--- a/README.md
+++ b/README.md
@@ -113,15 +113,25 @@ class NeRFGraph(Graph):
         """
         Writes the test image outputs.
         """
+<<<<<<< HEAD
 
 ```
+=======
+```
+
+Note that the graph is composed of fields and modules. Fields (`nerf/fields/`) represents the actual radiance field of the NeRF and is composed of field modules (`nerf/field_modules/`). Here, we define the field as the part of the network that takes in point samples and any other conditioning, and outputs any of the `FieldHeadNames` (`nerf/field_modules/field_heads.py`). The misc. modules can be any module outside of the field that are needed by the NeRF (e.g. losses, samplers, renderers). To get started on a new NeRF implementation, you simply have to define all relevant modules and populate them in the graph. 
+
+#### Dataset population TODO(ethan)
+
+#### Config 
+>>>>>>> e8118f0
 
 #### 
 
 # Feature List
-#### :metal: [Hydra config structure](./configs/README.md)
-#### :metal: [Logging, debugging utilities](./radiance/utils/README.md)
-#### :metal: [Benchmarking, other tooling](./scripts/README.md)
+#### :metal: [Hydra config structure](#)
+#### :metal: [Logging, debugging utilities](#)
+#### :metal: [Benchmarking, other tooling](#)
 
 #### :metal: Running other repos with our data
 
diff --git a/pyrad/utils/README.md b/pyrad/utils/README.md
deleted file mode 100644
index e47d4e76a..000000000
--- a/pyrad/utils/README.md
+++ /dev/null
@@ -1,7 +0,0 @@
-# Logging and profiling features
-
-We provide many logging functionalities for timing and/or tracking losses during training. All of these loggers are configurable via `configs/logging.yml`
-
-1. **Writer**: Logs losses and generated images during training to a specified output stream. Specify the type of writer (Tensorboard, Local Writer, Weights and Biases), and how often to log in the config.
-
-2. **Profiler**: Computes the average total time of execution for any function with the `@profiler.time_function` decorator. Prints out the full profile at the termination of training or the program.
\ No newline at end of file
diff --git a/scripts/README.md b/scripts/README.md
deleted file mode 100644
index 873e3142b..000000000
--- a/scripts/README.md
+++ /dev/null
@@ -1,52 +0,0 @@
-# Tooling
-
-1. One can use [autoenv](https://github.com/hyperupcall/autoenv) to make setting up the environment and environment variables easier. This will run the `.envrc` file upon entering the `/path/to/pyrad` folder. It will also remove the environment parameters upon leaving.
-
-```
-# Install direnv.
-sudo apt install direnv
-
-# Add the following line to the bottom of your ~/.bashrc file.
-eval "$(direnv hook bash)"
-
-# Populate your .envrc with commands you want to run. Then, run the following to allow updates.
-cd /path/to/pyrad
-direnv allow .
-```
-
-2. To run local **github actions**, you can run:
-
-```
-python scripts/debugging/run_actions.py
-```
-
-3. To run local **profiling** to get a flame graph, make sure [pyspy](https://github.com/benfred/py-spy) is installed and you can run:
-
-```
-pip install py-spy
-
-## for flame graph
-./scripts/debugging/profile.sh -t flame -o flame.svg -p scripts/run_train.py data/dataset=blender_lego
-
-## for live view of functions
-./scripts/debugging/profile.sh -t top -p scripts/run_train.py data/dataset=blender_lego
-```
-
-4. For debugging with a debugger.
-
-```
-ipython --pdb scripts/run_train.py
-```
-
-5. **Benchmarking** For launching training jobs automatically on blender dataset
-
-```
-./scripts/benchmarking/launch_train_blender.sh <gpu0> <gpu1> ... <gpu7>
-```
-
-For testing specific methods, see scripts/benchmarking/run_benchmark.py.
-Modify the `BENCH` variable to specify which jobs ("ckpt_dir") and methods ("method") you want benchmarked. Then run
-
-```
-python scripts/benchmarking/run_benchmark.py
-```
\ No newline at end of file
diff --git a/tests/README.md b/tests/README.md
deleted file mode 100644
index e69de29bb..000000000