I couldn’t make a Rockbox (the alternative iPod OS) simulator run on my MacBook M2 no matter how many guides I followed, then I fired up Claude code and by modifying the original source code it made the simulator run and I was able to start developing custom plugins for my iPod. It honestly felt great since I only have basic C knowledge.
This is what happens when you hand over the job to a Silicon Valley yuppie with absolutely no car design history. As an Italian, this design feels like an insult and it's mental that a company like Ferrari even approved such a project.
The supercar EV market had such huge potential to innovate and inspire but no we decided to follow these average EV design trends instead.
I remember back in 2012, thanks to the playlist #4 by Com Truise, I discovered Boards of Canada. I will always be thankful to Datassette for this project!
No my one is a simple ruby sinatra app with no DB. Yeah unfortunately it wasn’t super reliable as heroku but they’re getting better at keeping the instances up
Last month they had a rerun of the movie at the cinema in Dublin (IE) and went to see it with a friend. It was such a surreal experience because after watching it on my laptop so many times I could hear the laughter and the jokes of the audience on the cheesy hacking scenes, it was like watching the movie in 4D, I enjoyed it a lot!
I even brought my PowerBook Duo 280c along with me
Moved from heroku to fly.io three years ago and I don’t regret it, great platform occasionally goes down and requires a bit of attention but the support forum is great
As someone with many animator friends, this sounds very bleak. Their work processes are very similar to software engineering, with the difference that their hiring process is much quicker (they just show a bunch of reels and shots they made for previous films or cartoons, and they’re hired). The sad part is that they have almost no labor rights, and competition is incredibly high, which means pay is very low and turnover is high. All these years, I’ve been setting my expectations that one day my field may become like that.
I can’t wait to get home and try this on my Pi. Past few months, I’ve been building a fully local agent [0] that runs inference entirely on a Raspberry Pi, and I’ve been extensively testing a plethora of small, open models as part of my studies. This is an incredibly exciting field, and I hope it gains more attention as we shift away from massive, centralized AI platforms and toward improving the performance of local models.
For anyone interested in a comparative review of different models that can run on a Pi, here’s a great article [1] I came across while working on my project.
I really wish I'd had this tool six months ago when I was designing a GUI program for macOS 9. I wanted to import pictures from my modern laptop to a PowerBook Duo and vice versa. Converting all the assets was a pain, and I think this tool would've been incredibly convenient, even just for previewing the images.
For those wondering about the use case, this is very useful when enabling streaming for structured output in LLM responses, such as JSON responses. For my local Raspberry Pi agent I needed something performant, I've been using streaming-json-js [1], but development appears to have been a bit dormant over the past year. I'll definitely take a look at your jsonriver and see how it compares!
The page referenced in the article, Frame of Preference [1], is such a great example of this feature. When I read it last week, interacting with a live Mac OS system while reading the post felt like magic.
While I agree with all the previous comments, your comment sparked an idea in me. I started imagining a future where we develop a new programming language optimized for LLMs to write and understand. In this hypothetical scenario, we would still need developers to debug and review the code to ensure deterministic outputs. Maybe this isn't so far-fetched after all. Of course, this is just speculation and imagination on my part.
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