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🗞️Daily Reading List – March 19, 2024 (#279)

🏷️ Daily Reading List

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Daily Reading List – March 19, 2024 (#279)

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2024-03-20 - Richard Seroter (from Richard Seroter Blog)

Today's links look at the best AI infrastructure platforms on the market, how to make strategic decisions without much data, and how much inefficiency is in eng orgs.

I spent most of today in an onsite offsite meeting, and it was great seeing some colleagues I don’t get to hang out with all the time. In between sessions, I got some good reading in. [blog] Google named a Leader in The Forrester Wave: AI Infrastructure Solutions, Q1 2024. I also read the underlying report this morning, and there’s an impressive set of vendors in this space right now. While we’re tops, it’s a reminder that you should be “buying” expertise and agility, not hardware right now. The landscape and use cases are still emerging! [article] How (in)efficient are engineering organizations? Here’s a quick look at some data showing that about a quarter of a developer’s time is lost to inefficiency. [article] How to Store Embeddings in Vector Search and Implement RAG. The process of customizing LLM responses will keep getting easier, especially with managed services in the picture. [article] When You Have to Make a Strategic Decision Without Much Data. Sometimes (often?) you don’t have the data available that could help you make a confident decision. This article talks about three ways to set a course forward. [blog] Istio announces the beta release of ambient mode. Service meshes are starting to get a little simpler, and a proxy-less architecture will be popular in the years ahead. [article] Early generative AI adopters at higher risk of tech debt. It’s guaranteed that something you’re doing with generative AI today will be obsolete in a year. That’s the nature of fast-evolving technology. But that work isn’t in vain, as this article points out. [blog] 8 years later: A world Go champion’s reflections on AlphaGo. I remember this was a big deal when it happened. Here, we revisit the “win” by AI and what Lee Sae Dol did afterwards. [article] Notes on Product management theater. Product guru John analyzes answers from product guru Marty in a recent podcast. Good work. [blog] Unify analytics with Spark procedures in BigQuery, now generally available. BigQuery is such a fascinating, unified platform for analytics. So many things in a single place, accessible through SQL queries. [blog] Leverage Go’s Concurrency: Transforming API Data Fetching with Goroutines and Channels. This is a complex language feature, but powerful. And I’d probably learn it by asking generative AI to produce some code on my behalf. [article] C++ creator rebuts White House warning. Is C++ memory safe? Its creator says to chill out on all the “don’t use C++” talk. ## 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/2024/03/19/daily-reading-list-march-19-2024-279/ [🧠] [v2] article_embedding_description: {:llm_project_id=>"Unavailable", :llm_dimensions=>nil, :article_size=>5126, :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=>5126, :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=>5126, :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 

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Title: Daily Reading List – March 19, 2024 (#279)
Summary: Today's links look at the best AI infrastructure platforms on the market, how to make strategic decisions without much data, and how much inefficiency is in eng orgs.

[content]
I spent most of today in an onsite offsite meeting, and it was great seeing some colleagues I don’t get to hang out with all the time. In between sessions, I got some good reading in.



[blog] Google named a Leader in The Forrester Wave: AI Infrastructure Solutions, Q1 2024. I also read the underlying report this morning, and there’s an impressive set of vendors in this space right now. While we’re tops, it’s a reminder that you should be “buying” expertise and agility, not hardware right now. The landscape and use cases are still emerging!



[article] How (in)efficient are engineering organizations? Here’s a quick look at some data showing that about a quarter of a developer’s time is lost to inefficiency.



[article] How to Store Embeddings in Vector Search and Implement RAG. The process of customizing LLM responses will keep getting easier, especially with managed services in the picture.



[article] When You Have to Make a Strategic Decision Without Much Data. Sometimes (often?) you don’t have the data available that could help you make a confident decision. This article talks about three ways to set a course forward.



[blog] Istio announces the beta release of ambient mode. Service meshes are starting to get a little simpler, and a proxy-less architecture will be popular in the years ahead.



[article] Early generative AI adopters at higher risk of tech debt. It’s guaranteed that something you’re doing with generative AI today will be obsolete in a year. That’s the nature of fast-evolving technology. But that work isn’t in vain, as this article points out.



[blog] 8 years later: A world Go champion’s reflections on AlphaGo. I remember this was a big deal when it happened. Here, we revisit the “win” by AI and what Lee Sae Dol did afterwards.



[article] Notes on Product management theater. Product guru John analyzes answers from product guru Marty in a recent podcast. Good work.



[blog] Unify analytics with Spark procedures in BigQuery, now generally available. BigQuery is such a fascinating, unified platform for analytics. So many things in a single place, accessible through SQL queries.



[blog] Leverage Go’s Concurrency: Transforming API Data Fetching with Goroutines and Channels. This is a complex language feature, but powerful. And I’d probably learn it by asking generative AI to produce some code on my behalf.



[article] C++ creator rebuts White House warning. Is C++ memory safe? Its creator says to chill out on all the “don’t use C++” talk.



##



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[/content]

Author: Richard Seroter
PublishedDate: 2024-03-20
Category: Blogs
NewsPaper: Richard Seroter Blog
Tags: Daily Reading List
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I spent most of today in an onsite offsite meeting, and it was great seeing some colleagues I don’t get to hang out with all the time. In between sessions, I got some good reading in.

\n\n\n\n

[blog] Google named a Leader in The Forrester Wave: AI Infrastructure Solutions, Q1 2024. I also read the underlying report this morning, and there’s an impressive set of vendors in this space right now. While we’re tops, it’s a reminder that you should be “buying” expertise and agility, not hardware right now. The landscape and use cases are still emerging!

\n\n\n\n

[article] How (in)efficient are engineering organizations? Here’s a quick look at some data showing that about a quarter of a developer’s time is lost to inefficiency.

\n\n\n\n

[article] How to Store Embeddings in Vector Search and Implement RAG. The process of customizing LLM responses will keep getting easier, especially with managed services in the picture.

\n\n\n\n

[article] When You Have to Make a Strategic Decision Without Much Data. Sometimes (often?) you don’t have the data available that could help you make a confident decision. This article talks about three ways to set a course forward.

\n\n\n\n

[blog] Istio announces the beta release of ambient mode. Service meshes are starting to get a little simpler, and a proxy-less architecture will be popular in the years ahead.

\n\n\n\n

[article] Early generative AI adopters at higher risk of tech debt. It’s guaranteed that something you’re doing with generative AI today will be obsolete in a year. That’s the nature of fast-evolving technology. But that work isn’t in vain, as this article points out.

\n\n\n\n

[blog] 8 years later: A world Go champion’s reflections on AlphaGo. I remember this was a big deal when it happened. Here, we revisit the “win” by AI and what Lee Sae Dol did afterwards.

\n\n\n\n

[article] Notes on Product management theater. Product guru John analyzes answers from product guru Marty in a recent podcast. Good work.

\n\n\n\n

[blog] Unify analytics with Spark procedures in BigQuery, now generally available. BigQuery is such a fascinating, unified platform for analytics. So many things in a single place, accessible through SQL queries.

\n\n\n\n

[blog] Leverage Go’s Concurrency: Transforming API Data Fetching with Goroutines and Channels. This is a complex language feature, but powerful. And I’d probably learn it by asking generative AI to produce some code on my behalf.

\n\n\n\n

[article] C++ creator rebuts White House warning. Is C++ memory safe? Its creator says to chill out on all the “don’t use C++” talk.

\n\n\n\n

##

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Want to get this update sent to you every day? Subscribe to my RSS feed or subscribe via email below:

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