Blog de Joe Freeman

Data science and AI projects are typically run on rented CPU/GPU resources or in self-managed data centers. By using containerization, we can separate our code and configuration from the underlying hardware, making it easier to switch between different systems for cost or performance reasons. However, containerization and remote execution introduce new networking and connectivity challenges. In this talk, we will explore how to manage connectivity for both the control plane and the user experience plane, including requirements like web access. AI transcription of the talk This section contains Gemini's rewrite of the YouTube Video's transcript. The raw text is down below.  The Role of Containerization in Local and Remote Data Science When designing a GPU-bound data exploration or analytics environment , the key to maintaining consistency—whether you're working locally or remotely —is a containerized workflow . For quick prototyping, we often leverage a few local GPUs witho...

Measuring the success and potential of "Generative AI" is complicated. Are we measuring usage, output quality, mindshare hype, the number of layoffs attributed to it, revenue, income, or something else? This article, which I wish I had written, describes the tangled web of hype, power, and corporate deals driving today's Generative AI. The case against generative AI Short Take There is no way to build the capacity required for the models and the desired demand.  There is no way for LLMs to deliver trusted no-humans-in-the-loop results. The reported financial results and forward-looking claims by the companies are nonsense. The layoffs were misattributed.  Claimed staff reductions tied to AI productivity changes don't exist Revision History Created 2025/10

Have you ever wanted to remove all downloads from your Kindle without disassociating and then re-associating it to your account? You can do this on the device.  It does not affect the books and other digital content that is owned by your Amazon Account.  Everything can be re-downloaded. 2025 October - Kindle PaperWhite and Kindle Scribe Pull down to see Configuration All Settings --> Device Options  Storage Management Manual Remove At this point, you can  see the total storage used and can remove content by category Books Audible Periodicals Docs (PDF) Samples Other Select the category of your choice You should see a list of documents/books/recordings for that category. Select all the downloads you wish to remove A Remove  button will become enabled in the bottom right corner Press remove once you have highlighted the targeted downloads I found it easier to remove a page of docs at a time, but I only had 20 items of digital content downloaded. Marginally...