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🗞️Daily Reading List – April 12, 2024 (#296)

🏷️ Daily Reading List

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Daily Reading List – April 12, 2024 (#296)

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2024-04-12 - Richard Seroter (from Richard Seroter Blog)

Today's links look at how open source licenses work, where AI and Kubernetes intersect, and what developers should learn about learning.

Today was a partial workday as I caught up on (most) email as well as my reading backlog from the week. I’ll take the weekend to recover physically and mentally from an exhausting week, and should be ready to roll by Monday. [blog] Day 2 at Next ’24 recap: building AI agents. Here was a good roundup of our activities on day 2. [article] Gemini 1.5 and Google’s Nature. I enjoy reading positive takes, but I also have been looking to see what the savviest folks thought of Cloud Next. This indicates we landed a powerful message. [blog] The threat to open source comes from within. Forrest explores ideas around that XZ fiasco and how OSS might have saved the day, versus been the cause. He also connects this to recent hoopla with Terraform and OpenTofu. [article] How Do Open Source Licenses Work? The Ultimate Guide. Speaking of open source, this article goes fairly keep into licensing, and offers a useful education for users and leaders. [blog] Honeycomb + Google Gemini. The Honeycomb team goes into more depth regarding their demonstration with us on stage at Cloud Next. [blog] AI and Kubernetes. Kaslin is learning in public, and I love that. Here is her take on different types of AI workloads and where Kubernetes plays a part. [article] 3 Reasons Tech Execs Are Slowing Down GenAI Projects. Trust matters. These reasons don’t surprise me. [blog] Managing Technical Debt. I’m not sure you can ever “prevent” tech debt—like financial debt, some tech debt can even be “good” to have—but it’s something that needs to be managed. [article] 10 things software developers should learn about learning. The best people I work with don’t just know many things; they’re good at learning the next thing. Learning how to learn is how you separate from the pack. [article] How to Use LangChain to Build With LLMs – A Beginner’s Guide. This is an excellent introduction to LangChain, and you can follow along yourself with Colab. ## Want to get this update sent to you every day? Subscribe to my RSS feed or subscribe via email below: Subscribe

🏷️ Daily Reading List
[Blogs] 🌎 https://seroter.com/2024/04/12/daily-reading-list-april-12-2024-296/ [🧠] [v2] article_embedding_description: {:llm_project_id=>"Unavailable", :llm_dimensions=>nil, :article_size=>4125, :llm_embeddings_model_name=>"textembedding-gecko"}
[🧠] [v1/3] title_embedding_description: {:ricc_notes=>"[embed-v3] Fixed on 9oct24. Only seems incompatible at first glance with embed v1.", :llm_project_id=>"unavailable possibly not using Vertex", :llm_dimensions=>nil, :article_size=>4125, :poly_field=>"title", :llm_embeddings_model_name=>"textembedding-gecko"}
[🧠] [v1/3] summary_embedding_description: {:ricc_notes=>"[embed-v3] Fixed on 9oct24. Only seems incompatible at first glance with embed v1.", :llm_project_id=>"unavailable possibly not using Vertex", :llm_dimensions=>nil, :article_size=>4125, :poly_field=>"summary", :llm_embeddings_model_name=>"textembedding-gecko"}
[🧠] As per bug https://github.com/palladius/gemini-news-crawler/issues/4 we can state this article belongs to titile/summary version: v3 (very few articles updated on 9oct24)

🗿article.to_s 

------------------------------
Title: Daily Reading List – April 12, 2024 (#296)
Summary: Today's links look at how open source licenses work, where AI and Kubernetes intersect, and what developers should learn about learning.

[content]
Today was a partial workday as I caught up on (most) email as well as my reading backlog from the week. I’ll take the weekend to recover physically and mentally from an exhausting week, and should be ready to roll by Monday.



[blog] Day 2 at Next ’24 recap: building AI agents. Here was a good roundup of our activities on day 2.



[article] Gemini 1.5 and Google’s Nature. I enjoy reading positive takes, but I also have been looking to see what the savviest folks thought of Cloud Next. This indicates we landed a powerful message.



[blog] The threat to open source comes from within. Forrest explores ideas around that XZ fiasco and how OSS might have saved the day, versus been the cause. He also connects this to recent hoopla with Terraform and OpenTofu.



[article] How Do Open Source Licenses Work? The Ultimate Guide. Speaking of open source, this article goes fairly keep into licensing, and offers a useful education for users and leaders.



[blog] Honeycomb + Google Gemini. The Honeycomb team goes into more depth regarding their demonstration with us on stage at Cloud Next.



[blog] AI and Kubernetes. Kaslin is learning in public, and I love that. Here is her take on different types of AI workloads and where Kubernetes plays a part.



[article] 3 Reasons Tech Execs Are Slowing Down GenAI Projects. Trust matters. These reasons don’t surprise me.



[blog] Managing Technical Debt. I’m not sure you can ever “prevent” tech debt—like financial debt, some tech debt can even be “good” to have—but it’s something that needs to be managed.



[article] 10 things software developers should learn about learning. The best people I work with don’t just know many things; they’re good at learning the next thing. Learning how to learn is how you separate from the pack.



[article] How to Use LangChain to Build With LLMs – A Beginner’s Guide. This is an excellent introduction to LangChain, and you can follow along yourself with Colab.



##



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[/content]

Author: Richard Seroter
PublishedDate: 2024-04-12
Category: Blogs
NewsPaper: Richard Seroter Blog
Tags: Daily Reading List
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Today was a partial workday as I caught up on (most) email as well as my reading backlog from the week. I’ll take the weekend to recover physically and mentally from an exhausting week, and should be ready to roll by Monday.

\n\n\n\n

[blog] Day 2 at Next ’24 recap: building AI agents. Here was a good roundup of our activities on day 2.

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[article] Gemini 1.5 and Google’s Nature. I enjoy reading positive takes, but I also have been looking to see what the savviest folks thought of Cloud Next. This indicates we landed a powerful message.

\n\n\n\n

[blog] The threat to open source comes from within. Forrest explores ideas around that XZ fiasco and how OSS might have saved the day, versus been the cause. He also connects this to recent hoopla with Terraform and OpenTofu.

\n\n\n\n

[article] How Do Open Source Licenses Work? The Ultimate Guide. Speaking of open source, this article goes fairly keep into licensing, and offers a useful education for users and leaders.

\n\n\n\n

[blog] Honeycomb + Google Gemini. The Honeycomb team goes into more depth regarding their demonstration with us on stage at Cloud Next.

\n\n\n\n

[blog] AI and Kubernetes. Kaslin is learning in public, and I love that. Here is her take on different types of AI workloads and where Kubernetes plays a part.

\n\n\n\n

[article] 3 Reasons Tech Execs Are Slowing Down GenAI Projects. Trust matters. These reasons don’t surprise me.

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[blog] Managing Technical Debt. I’m not sure you can ever “prevent” tech debt—like financial debt, some tech debt can even be “good” to have—but it’s something that needs to be managed.

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[article] 10 things software developers should learn about learning. The best people I work with don’t just know many things; they’re good at learning the next thing. Learning how to learn is how you separate from the pack.

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[article] How to Use LangChain to Build With LLMs – A Beginner’s Guide. This is an excellent introduction to LangChain, and you can follow along yourself with Colab.

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