Merge pull request #594 from zackproser/post-tweaks

Fix some typos and make a passage more clear

src/app/blog/autocomplete-is-not-all-you-need/page.mdx

@@ -24,7 +24,9 @@ export default (props) => <ArticleLayout metadata={metadata} {...props} />
 --- 
 
 I've spoken with many investors and analysts over the past year and a half about AI assisted developer tooling. With some exceptions, their questions tend to frame developer tooling 
-as a horse race. They want to know if Codeium has any chance of beating GitHub's Copilot, given GitHhub's resources and superior distribution story (how many millions of developers can they email whenever they want?).
+as a horse race. 
+
+They want to know if Codeium has any chance of beating GitHub's Copilot, given GitHhub's resources and superior distribution story (how many millions of developers can they email whenever they want?).
 
 As someone who codes and builds systems every day, I've had enough of these conversations to see that folks on the outside looking in are trying to understand what makes one tool better or more effective than the other. 
 
@@ -45,7 +47,7 @@ the developer need only accept the suggestion and continue typing.
 
 And that's all well and good. And it became table stakes for developer tooling in about the first 8 months of the GenAI boom. 
 
-Cursor and Zed are two tools that are pushing the boundaries of what's possible in developer tooling *by changing the input from typing to plain English.*
+Cursor and Zed are two tools that are pushing the boundaries of what's possible in developer tooling ***by changing the input to the software creation process from code to plain English.***
 
 <Image src={cursorConversation} alt="Cursor conversation" />
 

src/app/blog/cloud-gpu-services-jupyter-notebook-reviewed/page.mdx

@@ -114,7 +114,7 @@ It doesn't seem like this product is ready for production use, and it doesn't ap
 
 Lightning.ai offers a premium platform designed for scalable AI research and development. 
 
-Unlike Gradient Paperspace, it was very clearly built in consultation with, or by, people who use Jupyter Notebooks to get deep and machine learning on a regular basis.
+Unlike Gradient Paperspace, it was very clearly built - either in consultation with, or by - people who actually use Jupyter Notebooks to get deep and machine learning work done.
 
 <Image src={cloudGPUSuccess} alt="Cloud GPU Services Success" />
 <figcaption>Successfully fine-tuning an LLM on Lightning.ai</figcaption>