amadan

paulca / paulca.com Public

Fix typos in first blog post: updated verb and friend reference

Paul Campbell 983549ee176f96dfd238058f848089a60400e2f1 parent 93e3ffc
2 files changed, +4 −4
  • docs/blog/using-an-llm-off-the-grid/index.html +2 −2
  • src/blog/using-an-llm-off-the-grid.md +2 −2
diff --git a/docs/blog/using-an-llm-off-the-grid/index.html b/docs/blog/using-an-llm-off-the-grid/index.html
index 4bb8e5c..007d57e 100644
--- a/docs/blog/using-an-llm-off-the-grid/index.html
+++ b/docs/blog/using-an-llm-off-the-grid/index.html
@@ -29,8 +29,8 @@
<p>And I get it: speaking to a computer like a human and it responding is one of the most joyous ways to interact with a machine that I've ever experienced. My whole life, I've had to conform to how machines communicate, as programmed by someone who is not me. Now the machine conforms to how I communicate, and adapts to my preferences. It's science fiction in real life.</p>
<p>The past few weeks, I have gone very, very deep down the rabbit hole. I've spent quite a lot pulling the slot machine lever and refining the output. (Not as much as <a href="https://bun.com/blog/bun-in-rust">some idiots</a>). The two themes of my lever pulling have been: &quot;if people insist on using AI, I want to see if I can uncover ways in which it can be used effectively, efficiently, and for the betterment of communities, not for individual gain&quot;. The other theme is: &quot;no engineer would be stupid enough to do this&quot;. I believe I have uncovered a lot of interesting ideas worth sharing. More on that later.</p>
<p>For today though, I'm writing this in a text editor. I'm about to feed it in to an LLM, and to the best of my knowledge, it will be published on my very new and very plain website at paulca.com.</p>
-<p>The kicker is that doing that will not pass through any US-owned-or-controlled LLM provider. While Anthropic, and particularly Fable, remains best-in-class at software production and I have discovered a few tricks to make very nice software very efficiently, other open source models exist that can run very fast on hardware (ergo: GPUs) that until a few years ago would have ben considered commodity.</p>
-<p>So that's all I have to say for now. A first blog post about AI, hand-written, but posted using a robot running in a home-office in South Dublin, powered by an open source model, where none of the data leaves my control or my jurisdiction without my consent, ironically landing on github.com, a company whose services I once loved dearly, made by people who became some of my closet friends, that I hope to soon leave behind and never look back.</p>
+<p>The kicker is that doing that will not pass through any US-owned-or-controlled LLM provider. While Anthropic, and particularly Fable, remains best-in-class at software production and I have discovered a few tricks to make very nice software very efficiently, other open source models exist that can run very fast on hardware (ergo: GPUs) that until a few years ago would have been considered a commodity.</p>
+<p>So that's all I have to say for now. A first blog post about AI, hand-written, but posted using a robot running in a home-office in South Dublin, powered by an open source model, where none of the data leaves my control or my jurisdiction without my consent, ironically landing on github.com, a company whose services I once loved dearly, made by people who became some of my closest friends, that I hope to soon leave behind and never look back.</p>
<p>Let's. Fucking. Go.</p>
</article>
diff --git a/src/blog/using-an-llm-off-the-grid.md b/src/blog/using-an-llm-off-the-grid.md
index 2a83e51..97a8615 100644
--- a/src/blog/using-an-llm-off-the-grid.md
+++ b/src/blog/using-an-llm-off-the-grid.md
@@ -26,8 +26,8 @@ The past few weeks, I have gone very, very deep down the rabbit hole. I've spent
For today though, I'm writing this in a text editor. I'm about to feed it in to an LLM, and to the best of my knowledge, it will be published on my very new and very plain website at paulca.com.
-The kicker is that doing that will not pass through any US-owned-or-controlled LLM provider. While Anthropic, and particularly Fable, remains best-in-class at software production and I have discovered a few tricks to make very nice software very efficiently, other open source models exist that can run very fast on hardware (ergo: GPUs) that until a few years ago would have ben considered commodity.
+The kicker is that doing that will not pass through any US-owned-or-controlled LLM provider. While Anthropic, and particularly Fable, remains best-in-class at software production and I have discovered a few tricks to make very nice software very efficiently, other open source models exist that can run very fast on hardware (ergo: GPUs) that until a few years ago would have been considered a commodity.
-So that's all I have to say for now. A first blog post about AI, hand-written, but posted using a robot running in a home-office in South Dublin, powered by an open source model, where none of the data leaves my control or my jurisdiction without my consent, ironically landing on github.com, a company whose services I once loved dearly, made by people who became some of my closet friends, that I hope to soon leave behind and never look back.
+So that's all I have to say for now. A first blog post about AI, hand-written, but posted using a robot running in a home-office in South Dublin, powered by an open source model, where none of the data leaves my control or my jurisdiction without my consent, ironically landing on github.com, a company whose services I once loved dearly, made by people who became some of my closest friends, that I hope to soon leave behind and never look back.
Let's. Fucking. Go.