I was a teenager around the dot-com and to this day I feel an idealized sense of longing for participation in the exciting times of the dot-coms. You guys got to enjoy the blazing innovation of the new internet, so full of endless possibilities. Tough luck on your bubble popping moment though.
It was watching all the potential being squandered and the internet basically being relegated to click farming and selling people crap they don't need.
All the really cool stuff seems to have died with the bubble...
I think the sad part was the people entering the IT workforce for only money. Don't get me wrong, I understand why and not gatekeeping. But it was the first time I know that people with computer skills were highly in demand, so anyone who had turned on a computer was able to get a job even if they knew nothing of how a computer actually worked, or networking.
Well, it was exciting I guess. I even knew someone who worked for pets.com!
On the other hand, I worked for a startup selling product information management software to large retailers, and was about as non dot-com as you could get. When the bubble burst, all the funding disappeared for all tech companies, not just the dot-com ones, so we were also all out of a job. Which was not fun.
So I am taking a different approach than instead of just focusing on software. I have Gemini app, Claude app, Grok app and then chatgpt still using web interface. And periodically I ask them questions about what I can do to improve the wellbeing of humans. I think trying to use them for work is okay, but it's not the best way to use these tools, we can use them to broaden our thinking and find challenges we never considered before.
This is my take too. When we were imagining AI what were the use cases we had in mind back then? They are these grand visions of AI will take care of major problems. We should be pushing for responsible AI deployment, starting on low risk areas and moving up to more serious uses once we know the tools work for less catastrophic situations.
Going after a problem almost everyone will have at some point, with a safe and secure approach. It seems like a great way to use AI, it boosts your ability to walk away from your laptop and spend time outdoors, as long as you have your phone with you it's possible to keep your long running jobs supervised and moving forward.
How many tokens did it take to develop this project? Do you know what models you used? It feels like a Claude assisted project, but do you have to keep maintaining it with AI or is it a question of architecture skill that keeps it safe and reliable now?
I would say this reading took a sharp turn from what I expected on the title, but it does make sense. There is plenty of hopeful potential in this type of public learning. The author starts off with wild intentions and eventually practically works out a solution, even though you can tell it was not quite what was envisioned.
That happens to me too, I start doing something and a result isn't the end of the learning, but a chance to repeat the experience.
This is an interesting use case with Claude. It sounds like you took away some tedious work with the checking of waveforms, and you are able to speed up your design loop because of it.
The reasons laid out in this article are why it's so important to share how we are using AI and what we are getting in return. I've been trying to contribute towards a positive outcome for AI by tracking how well the big AI companies are doing at being used to solve humanitarian problems. I can't really do most of the suggestions the article, they seem like a way to slow progress. I don't want to slow AI progress, I want the technology we already have to be deployed for useful and helpful things.
I have to say it's a world first for a big company to have an AI of their CEO right there for anyone to talk to. Or is it not anyone? It looks selectively rolled out.
I am developing an Android application that uses image location data, in fact, the primary purpose of the app is for the user to curate the location data so it is accurate enough to depict the location and life cycle of a flower from a series of timestamped photos of the flower.
I guess I share to point out that the solution of developing a android native app is not that burdensome, and it is some kind of data you want the user to be intentional with.
Switching from word press to static site generator caused disruption to my autoflow habit of posting. WordPress (I didn't have to maintain) had a gui I didn't have to think to use. I still made the switch though.
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