The Lindahl Letter

Thank you for tuning in to this audio only podcast presentation. This is week 74 of The Lindahl Letter publication. A new edition arrives every Friday. This week the topic under consideration for The Lindahl Letter is, “ML content automation.” At this point, I started to ask myself if I’m the prompt of an exceedingly large language model. Perhaps a better trained and curated model than any foundat...

Within my staging Google document for Substack posts I reached the end of the originally planned out posts for this series of content. Earlier this morning I expanded the staging shell post outlines to week 104 which as you can imagine is a significant point in the publication lifecycle. 2 years of writing Substack posts will be here before you know it. I have enough content in the backlog for thi...

Security is the element of open source software that has to always be considered. Depending on the size of the associated developer community participating and the rate of development the number of security vulnerabilities is going to rise and fall. It will be a constant battle between those people trying to take advantage of vulnerabilities and the people who fight the good fight of software secu...

This week we are going to dig into content about ML newsletters. I’ll do my best to bring that content to life via the spoken word, but you may want to check out the actual written text this week if you are looking for hyperlinks to the actual newsletter locations. Generally, if you want to live dangerously, then you can find these newsletters with a quick Google search or you can visit this post...

A lot of enthusiasm and money are flowing into cryptocurrency these days. That wave of 25 billion in venture backed financing started back in 2021 [ 0 ]. Most of that technology is based on blockchains. The co-founder of Ethereum Gavin Wood as far back as 2014 started talking about a blockchain technology being used to fundamentally change the internet [ 1 ]. Gavin is a big proponent of fixing the...

Don’t panic! We are going to take this topic in two different directions this week. First, the obvious path will be taken and we will talk about programming, code, and python cookbooks. Second, for those of you that were hoping this week will be a deep dive into artificial intelligence and machine learning derived recipes compiled into a cookbook you will not be disappointed either. Another way to...

Both OpenAI and Hugging Face have teams doing great things with respect to machine learning models. Their delivery models are very different. You can visit OpenAI at https://openai.com/api/ and look around at the machine learning models being sold to consumers like IBM, Salesforce, Intel, and Cisco. Delivering machine learning models via an API is one way to go about publishing and sharing your wo...

Things got shuffled around a little bit and instead of hearing about, “Who still does ML tooling by hand?,” this week my attention shifted to writing down my thoughts on NFTs. This happened in part due to a lengthy conversation I had about the future of NFTs this week. Part of that conversation was distilled into this series of thoughts on the subject. This was almost an interview edition of the p...

Let’s start with a brief aside. You may have noticed the podcast audio from last week’s episode was a little different. I accidentally pressed the pattern button on the back of my Blue Yeti X microphone and moved from stereo mode to omni mode. The change did not take away from the listenability of the overall podcast episode, but it does change the temperature or color of the overall audio recordi...

Ethics should be a part of every machine learning course. It has to be a part of every machine learning journey. Perhaps the best way to sum it up as an imperative would be to say, “Just because you can do a thing does not mean you should.” Machine learning opens the door to some incredibly advanced possibilities for drug discovery, medical image screening, or just spam detection to protect your i...

Maybe revisiting large language models should have been saved for a few weeks from now, but we are going to begin that journey into the foundations of machine learning anyway. My opening question within this chautauqua should be about how large language models in the machine learning space will change society. To that end it might be good to read a post from the Stanford University HAI or Human Ce...

Thank you for tuning in to this audio only podcast presentation. This is week 63 of The Lindahl Letter publication. A new edition arrives every Friday. This week the machine learning or artificial intelligence related topic under consideration is, “Sentiment and consensus analysis.” My coding experience probably most closely aligns to this topic. Crawlers, bots, and other automation use sentiment...

For years it has been a running joke with some of my close friends that I have been perpetually writing a book about the intersection of technology and modernity. To that end my consideration of how we build and what it means for our shared social fabric in terms of civility and technology has been a major part of my creative efforts over the years. Modernity as a word is an attempt to signal that...

Without question a good number of you reading these words right now have interacted with at least one network platform today. A futurist who was trying to predict the rise or fall of network platforms would probably side with a foreseen expansion and increased clustering of network platforms going forward. Facebook (Meta), Twitter, Slack, and other places where a technology driven platform brings...

Thank you for tuning in to this audio only podcast presentation. This is week 60 of The Lindahl Letter publication. A new edition arrives every Friday. This week the machine learning or artificial intelligence related topic under consideration is, “General artificial intelligence.” We made the ten hour drive from Denver, Colorado to Kansas City, Kansas this week. Last time we made the lengthy driv...

You might well be aware that multimodal machine learning (MMML) is a slice of the machine learning universe. Even typing the title of this post was challenging. I really wanted to type multi model vs. modal with an “E” before the last “L” instead of an “A” like the actual wording requires in this case. The definition of multimodal is really direct and does not include a ton of mystery. The word is...

Let me start with a quick update on something Substack related. Throughout the last month I attended an invitation-only weekly forum hosted by Substack called Substack Go where writers were brought together to help encourage each other. For me writing on Substack is generally a solitary activity that happens mostly on Saturday morning. That effort is followed by a Sunday morning of editing and exp...

This is the third week of including audio integration as a part of the weekly Substack post for The Lindahl Letter. Recording a reading of the first section of the post that contains the main content is easy enough to achieve using Audacity with a basic use of both the noise reduction and loudness normalization effects. Between those two effects it will keep a noise floor in place to keep anything...

This topic has been added to my list of academic papers that I need to one day complete. Beyond that scholarly realization the core of this topic really has me conflicted about how to approach consideration about what a national AI strategy really entails. I’m fundamentally questioning what the trajectory of the strategic action would be for the different players involved. Within that conflict I h...

Considering this topic really involved taking things in two different directions. First, I started to really try to understand the world and landscape of machine learning patents. Second, it became abundantly clear that acquisitions have fueled a lot of change in the machine learning space. A history of machine learning acquisitions could be a topic one day. That will probably happen in week 78. S...