238 karma · joined February 14, 2017
There’s also something to be said about the industry’s faltering after the social era, a period which largely began the degradation of Big Tech’s public image, which was worsened even more by the overcorrection into Crypto/Web3, and finally through AI - which feels just as forced as the previous era was.
* The ability to specify individual drop-off locations for FSD arrivals (curbside, parking lot, driveway, etc)
* Grok as a voice assistant for the infotainment system
* iOS live activity viewer for the Dog Mode camera feed
* Speed/steering/control statuses being overlaid on dashcam footage
* “Santa Mode” which revamps the UI with Christmas theming for the holiday season
* Automatic HOV lane routing based on vehicle occupancy status
* Vehicle alerts/chimes when exiting, if leaving your phone within the vehicle
* Location-based individual charge limits
* 3D visualizations of supercharger locations, synced with active availability/occupancy per stall
* The SpaceX docking simulator ported as an in-vehicle game, playable on the infotainment screen
These are all additions from just the most recent update, and I can confidently say this is the only vehicle I’ve had that consistently gets better and better in terms of its software features over the course of ownership. Each update takes anywhere from 20-45 minutes during which, unfortunately, you’re not able to utilize the vehicle at all.
For most hobbyist-level electronics, it’s just a matter of becoming familiar enough with using the Arduino IDE to flash your C(-like) code to your board, or using something like MicroPython, then following the wiring instructions freely available online for common parts like servos, LEDs, displays, etc. Every once in a while you may have to reach for something like a transistor, capacitor, or resistor, but those can also be learned in an afternoon.
Google really is your friend! I taught myself hobby electronics over 15 years ago using the same, and they still hold up!
Edit: Implementation details are actually readily accessible in the DOM. Here's a gist that extracts the relevant details (for those who, understandably, don't want to give out their email in exchange):
https://gist.github.com/brysonreece/b15f33cda30af06b7b70788d...
* The upward bound of compute/performance gains as we continue to iterate on LLMs. It simply isn't going to be feasible for a lot of engineers and businesses to run/train their own LLMs. This means an inherent reliance on cloud services to bridge the gap (something MS is clearly betting on), and engineers to build/maintain the integration from these services to whatever business logic their customers are buying.
* Skilled knowledge workers continuing to be in-demand, even factoring in automation and new-grad numbers. Collectively, we've built a better hammer; it still takes someone experienced enough to know where to drive the nail. These tools WILL empower the top N% of engineers to be more productive, which is why it will be more important than ever to know _how_ to build things that drive business value, rather than just how to churn through JIRA tickets or turn a pretty Figma design into React.