Fun fact: I keep a log (or a journal) of everything I do in a day at work. I’ve been doing this for decades. I always used digital tools for that but the guy who gave me the inspiration for doing this when I started my career was doing the same but on paper. I thought Incould improve his process. I did.

When creating backlinks in apps like Craft, if there is no automatic suggestions based on current document’s content, as the number of documents grows, it becomes mostly impossible to select related documents to potentially link to.

I began to unpublish several posts from numericcitizen.me, mainly those imported from Substack. It’s fascinating how quickly content can become irrelevant in our rapidly changing world.

Do you remember the SETI program? I think this is what it was called. Anyway, it was about providing or contributing personal computing resources to help find extraterrestrial life from background noises or signals coming from space. You would install an app on your computer and when you weren’t using it, its processing power was diverted to the app for computing purposes. Now, fast forward to 2025: could something similar be done e for running LLMs on personal computers? This could then generate usage credits applicable to the AI provider.

Frankly, my data processing and reading workflows are such a mess, I cannot figure an effective way to process data, select the right tools, identify the right flow… this is baffling…

I am curious to explore other providers of generative artificial intelligence services. I am a paying subscriber to ChatGPT, but I haven’t seriously explored other alternatives yet, though I plan to do so. I fear missing things out if I ever leave OpenAI behind. I tested Perplexity, but I don’t believe in their business model. I think Claude from Anthropic seems to be the most interesting candidate. They have an iPhone and iPad app, just like OpenAI. From now on, I will systematically query both ChatGPT and Claude for my research needs and compare their performance.