45,352 karma · joined July 8, 2009
Previously: Physical Intelligence (robots), Meta, Google, Microsoft
My blog: https://james.darpinian.com/blog/
https://x.com/Darpinian
Creator of See A Satellite Tonight: https://james.darpinian.com/satellites/
Based in Palo Alto
Go ahead and count it as "abandoned" if you want. He did talk about building a Hyperloop and is not currently pursuing it directly. But I think failing to win required government approval/funding is a bit different than capriciously giving up on an idea, and The Boring Company itself is far from abandoned. Very different from the solar roof which is unambiguously a commercial failure.
The new roadster is delayed, not abandoned. It's known to be in active development and is very likely to be demoed this year. Wrong timeline but not abandoned.
The Tesla semi is on the road daily and the factory to build large quantities is almost complete. They're hosting a "factory inauguration" event next month. Certainly not abandoned.
Tesla has already committed to replacing hardware as necessary on cars that purchased FSD in the past so that they can run unsupervised as promised, after Tesla has unsupervised FSD working. Certainly the timeline was wrong but again, clearly not abandoned.
For something even lower friction than that, I just got this new device "Index 01" https://repebble.com/index. It's a ring with one button that you can hold down and dictate short voice notes to yourself that are transcribed and saved on your phone, set reminders and alarms, etc. It's super low friction because it's always there, you can do it one-handed, and you don't need to get out your phone so there's no distraction. The software is open source and hackable too, so you can customize what it does with the notes and add new voice commands. I think it would be perfect for low friction journaling of illness symptoms.
Worth noting that OpenAI just announced that they got the full GPT 5.6 Sol model running on Cerebras at 750 tokens per second. No announcement of the pricing though...
But I think the other reason you didn't mention is the timing of new compute coming online. Compute is the major factor limiting the training of these models and new datacenter investments are bearing fruit at around the same time.