As a massive advocate of FSD (and someone who's currently running 14.1.4, their very latest FSD build) it is absolutely in no way ready for unsupervised FSD. It still makes silly mistakes, and the latest build is terrified of leaves and will swerve across lane dividers to desperately avoid a leaf blowing into it's path.
I love FSD, I use it for 99% of my driving, and when it's working right it's an incredibly technology that overall makes my driving safer, but there's absolutely areas of weakness that every FSD user knows it cannot be trusted in under any circumstances and you must closely supervise and be ready to take over at any time.
I remember sneaking into their room after they fell asleep to steal the phone extension cable back to reconnect so I could stay up all night talking to Americans! The first time they got one of those massive phone bills I was in SO much trouble.
Eventually, in like '97 or so, my father wound down the ISP he was running and got a 128k leased line into our house (which was basically unheard of). I came home from school and discovered a cable running across the landing and into my bedroom, and quickly figured out I had a permanent 24/7 connection. I don't think I left the keyboard for the entire weekend :D
When you consider the "tool" as more than just the LLM model, but the stuff wrapped around calling that model then I feel like you can make a good argument it's improving when it keeps context in a file on disk and constantly updates and edits that file as you work throguh the project.
I do this routinely for large initiatives I'm kicking off through Claude Code - it writes a long detailed plan into a file and as we work through the project I have it constantly updating and rewriting that document to add information we have jointly discovered from each bit of the work. That means every time I come back and fire it back up, it's got more information than when it started, which looks a lot more improvement from my perspective.
This looks awesome, getting started with AI development is daunting and I really like how this focuses on integrating with a bunch of open source frameworks and then deploying them into your own cloud (I always prefer to run the infrastructure, it feels weird to rely on something that's a complete black box).
The sandbox environment with free GPU hours is a cool way to try things out without a big commitment too. It's nice seeing a product that genuinely seems to address the practical challenges of AI deployment. Looking forward to seeing how the platform develops!
Thanks! Hopefully, the sandbox allows people to try out some things and see how Release works. Release become most powerful when you are deploying into your own infra and mixing and matching your web apps and AI apps.
The growing "social discontent, division, and distrust in institutions and democracy" is fueled by the over zealous authoritarian push by certain elements of society to stamp out any disagreement or discord as "misinformation". The more one side doubles down on control from the top the more distrust in institutions will grow.
We've abundant historical examples of this occurring, and we're busy repeating the same mistakes and causing fundamental mistrust across a broad spectrum of society.
I love FSD, I use it for 99% of my driving, and when it's working right it's an incredibly technology that overall makes my driving safer, but there's absolutely areas of weakness that every FSD user knows it cannot be trusted in under any circumstances and you must closely supervise and be ready to take over at any time.