PODCAST

The Lindahl Letter

Dr. Nels Lindahl

Thoughts about technology (AI/ML) in newsletter form every Friday www.nelsx.com

technology management

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4:30

Natural language processing

The Lindahl Letter ·

2023/03/11

We have reached the 7th installment of the new series for 2023 related to AI. In just a couple of weeks we are going to venture out of these framing topics into the heart of my journey back into polling and sentiment analysis. Toward the end of that journey it will be very clear on the relationships between AGI, AI, and sentiment analysis. Processing to the point of understanding then adding a degree of directionality in terms of sentiment may be beyond the current state of things at this moment. A

5:52

Chatbots and understanding knowledge graphs

The Lindahl Letter ·

2023/03/04

In total the largest knowledge graph ever created on the shoulders of giants happens to be the college academy of knowledge compiled as a part of our higher education traditions. That knowledge graph is inherently built on connections and the learning patterns of academics. It would have to be considered to be a very human based aggregate not a computer based one. It’s possible that could change over time, but I’m not entirely convinced that is going to happen in the short term. The totality of

6:00

Robots in the house

The Lindahl Letter ·

2023/02/25

Right before sitting down to work on this post I recorded the audio for week 108. My voice has almost recovered all the way from catching that pandemic thing in December. It’s interesting that sustaining vocal quality would be one of the last things to stabilize from that distinctly unwanted experience. You have probably been able to hear that within the last few recorded podcasts. I just did not have that totality of vocal control. I might go back and record that audio segment again, but at this

6:08

Twitter as a company probably would not happen today

The Lindahl Letter ·

2023/02/18

Part of what made Twitter so interesting is the diversity of argument and the townhall nature of it being the first place things show up in the feed. I’m not sure any other company or social platform could attract the same amount of hyperactive content creation users geared at news and coverage of the moment. People are arguing and I’m sure papers will soon be arriving to describe the end of social media. This weekend I’m going to spend a bit of time reading a book by Robert Putnam of “Bowling

4:34

Highly cited AI papers

The Lindahl Letter ·

2023/02/11

This week it seemed like a good idea to take a look at some of the most highly cited AI papers. Back during week 81 of this journey into writing on Substack, I took a look at some of the most highly cited ML papers [1]. I was expecting a lot more overlap, but was pleasantly surprised at the differences. One of the papers really stood out based on the total number of citations and it’s up first. Intellectually I can accept that a paper has more than 100,000 citations, but in practice that is an awful

3:39

Code generating systems

The Lindahl Letter ·

2023/02/04

You probably were wondering how long into the new year before a bunch of focus and attention were placed at the efforts of Hugging Face. You won’t have to wait any longer as this missive will dig into BigCode and some other efforts to use AI to build out code generating systems [1]. I was reading a TechCrunch article from Kyle Wiggers and wondering about how many different systems existed [2]. That article references 5 code generating systems that you could in practice elect to go evaluate. For

5:52

Building out a better backlog

The Lindahl Letter ·

2023/01/28

We are now starting the third year journey of The Lindahl Letter on Substack. You can find the first two years worth of that effort combined into one manuscript right here or at any other online retailer:Lindahl, N. (2023). The Lindahl letter: 104 Machine Learning Posts. Lulu Press, Inc. https://www.lulu.com/shop/nels-lindahl/the-lindahl-letter-104-machine-learning-posts/ebook/product-y244ep.html During the course of this next year I’m probably going to write a book about how I would set up a

8:25

That 2nd year of posting recap

The Lindahl Letter ·

2023/01/21

My appreciation for you reading this sentence right now is very real. That holds true in the moment of writing and within my intentions moving forward. At the start of this project a bit of writing on Substack happened two years ago now. During the course of starting that effort, I had not considered the amount of effort sustaining it would require. Probably the single most sustained writing project I have ever completed was my doctoral dissertation [1]. That writing process took less time than

2:51

Rethinking the future of ML

The Lindahl Letter ·

2023/01/14

You probably have gotten a sense of the tremendous and overwhelming flood of publishing that is happening in the machine learning space. So much content is being created right now that nobody could possibly consume it all. The flood of content is real and overwhelming. That is one of the reasons that I work really hard to distill the complex topics I select into a readable format for people to consume. I really try to provide a pathway to people who want to be a part of this journey. Maybe those two

4:07

ML pracademics

The Lindahl Letter ·

2023/01/07

You end up with people who are working in a field and people who study the field of inquiry academically. Sometimes and especially within the machine learning space you end up with people who are actively working as a practitioner. Those very same practitioners of the craft of machine learning are publishing academic articles at a rate never before seen within any field of study at large within the academy. The best way to describe that effort would be to call them the pracademics of the machine

3:32

Back to the ROI for ML

The Lindahl Letter ·

2022/12/31

One of the core topics within the machine learning space that I have studied happens to be ROI or, more to the point, an examination of just how well spent money would be in the space. You can certainly spend money on machine learning and AI related efforts as a part of a think tank, an independent lab, or a pure research institution. Within corporate spaces, pure research and development is one thing, but generally to expend the precious capital resources of an institution, organization, or group,

3:55

Overcrowding and ML

The Lindahl Letter ·

2022/12/24

You might remember back to Week 75 when I tried to explain the nature of overcrowding within the machine learning space and what exactly that is doing to engineering colleges. Back in 2020, Igor Susmelj wrote a piece in Towards Data Science, “How to Keep up With the Latest Research and Trends in ML” [1]. Within that paper, Igor raised awareness of a chart from Jeffrey Dean that showed machine learning arXiv papers versus Moore’s law growth rate [2]. A quick Google Scholar search of that paper will

3:49

Deep generative models

The Lindahl Letter ·

2022/12/17

Perhaps you were looking for a bit more of a deep dive about deep generative models than will be contained in this relatively short missive. You could go check out Stanford University’s CS236 from Fall 2021 course [1]. That would help you begin to figure out just how unsupervised learning could be used to figure out the data distribution well enough to generate predicted other data elements. The content is broken up into 5 sections and you could contribute to the class GitHub if you wanted to

5:38

My thoughts on ChatGPT

The Lindahl Letter ·

2022/12/10

We are going to break out of the planned programming and go where everybody else involved in the machine learning space is going to go this week. Something new arrived this week and has captured the attention of the public mind. Seriously, I thought stable diffusion would be the big thing for 2022, but something else arrived in the intellectual space that might be more influential in the long run. The contents of this post were written right after the release, and I have been tinkering with that

3:52

MIT’s Twist Quantum programming language

The Lindahl Letter ·

2022/12/03

Recently, I started spending a bit more time writing about quantum machine learning and quantum computing in general. One of the things I became curious about was related to a thread of thoughts about how they code something for a quantum computer. One of the first things that I came across while trying to learn more about how people were coding with Twist was an article in IEEE Spectrum called, “Meet Twist: MIT’s Quantum Programming Language: Keeping tabs on data entanglement keeps reins on buggy

5:15

Generative AI: Where are large language models going?

The Lindahl Letter ·

2022/11/26

Within the broader generative AI space, the part I tend to focus on is related to the written word. Right now, all of the visual generation parts of generative AI in terms of images and videos are wholesale living in the public mind [1]. Creative people are generating thumbnails and playing with all sorts of plausible image generation technology. A few teams are rapidly working on how to make video from that same type of generative AI and that is going to be interesting. We are probably going to see

5:01

Getting to quantum machine learning

The Lindahl Letter ·

2022/11/19

We are living on the edge of meeting the weekly Friday publishing deadline at this point. As we quickly approach the 104th post and the major two-year milestone I’m still working on the same Saturday and Sunday schedule of early morning writing. I’m just having to be extra mindful of making sure I don’t get sidetracked into working on other things. This week’s topic could be an entire book full of insight. People are certainly going to fill the shelves with quantum machine learning books in the

4:03

AI hardware (RISC-V AI Chips)

The Lindahl Letter ·

2022/11/12

I must have missed it when Samuel K. Moore covered this topic back on February 24, 2022 in an article titled, “RISC-V AI Chips Will Be Everywhere Esperanto Technology’s chip heralds new era in open-source architecture; Intel set to cash in,” [1]. I’m going to admit that I did fix the spelling on the word technology when I cut and pasted that title over to this Substack post. Fast forward just a couple of months and in April an article in Forbes talked about people actually sampling the 1,000 core

4:19

Papers critical of ML

The Lindahl Letter ·

2022/11/04

We are going to get to the 104th Substack post before you know it here for The Lindahl Letter publication. Things are moving along, and we are on the very tail end of that journey. Don’t panic about this post not being full of links. (Spoiler alert) You will have plenty of perspectives to read this week that are linked to for your reading pleasure.This is one of the topics that deserves a lot of attention. I circle back to asking people to always consider ethics within the context of both ML and AI

5:03

We have a National Artificial Intelligence Advisory...

The Lindahl Letter ·

2022/10/28

It seems like having a national artificial intelligence initiative is popular these days. Back on February 18, 2022, I shared my week 56 Substack post, “Comparative analysis of national AI strategies.” That missive continues to get a good bit of traffic so I thought now would be a good time to go ahead and revisit national AI strategies, advisory committees, institutes, legislation, and the myriad of research institutes or think tanks that are jumping into this area of consideration. This is an area

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