diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index 20fac644..cb069eff 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -33,28 +33,7 @@ that you should be abloe to create a pull request for the main repository.
 
 ## Adding Toolbox Functions
 
-Are you missing a function in the toolbox? It's easy to implement it yourself!
-
-It's even possible without a GPU, clone this repo and install it like this:
-
-```
-SETUP_PACKAGE=refact_scratchpads_no_gpu pip install -e refact/
-```
-
-In this folder `refact_scratchpads_no_gpu/gpt_toolbox/toolbox_functions` there are some
-functions implemented using OpenAI API. There you can add a new one by analogy, or even
-make an existing function better.
-
-Add your new function to `infserver_no_gpu.py` and `modelcap_records.py`.
-
-To test your function, run `infserver_no_gpu` as in the previous section.
-
-
-## Simplifying Toolbox (WORK IN PROGRESS)
-
-1. Toolbox for models with GPU https://github.com/smallcloudai/refact/pull/33
-
-2. Simplify functions list, so you don't have to touch `infserver_no_gpu.py` and `modelcap_records` (no PR yet)
+UPDATE: toolbox is under reconstruction.
 
 
 ## Install Linguist
diff --git a/refact_scratchpads_no_gpu/stream_results.py b/refact_scratchpads_no_gpu/stream_results.py
index 0d1d9b4f..87cd827e 100644
--- a/refact_scratchpads_no_gpu/stream_results.py
+++ b/refact_scratchpads_no_gpu/stream_results.py
@@ -142,13 +142,9 @@ def test_head_and_tail():
 class UploadProxy:
     def __init__(
             self,
-            upload_q: Optional[multiprocessing.Queue],
-            cancelled_q: Optional[multiprocessing.Queue],
+            upload_q: Optional[multiprocessing.Queue] = None,
+            cancelled_q: Optional[multiprocessing.Queue] = None,
     ):
-        try:
-            multiprocessing.set_start_method("spawn")
-        except:  # it could be already set
-            pass
         self.upload_q = upload_q or multiprocessing.Queue()
         self.cancelled_q = cancelled_q or multiprocessing.Queue()
         self.proc = None
@@ -161,6 +157,7 @@ def start_upload_result_daemon(self):
             target=_upload_results_loop,
             args=(self.upload_q, self.cancelled_q),
             name="upload_results",
+            daemon=True
         )
         self.proc.start()
         return self.proc