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Looks kind of active ?
The AP 2.5-board itself clearly doesn’t «require» liquid cooling, as the S/X runs air cooled 2.5 apes.
The same can be said for ICE’s Infotainment-board - assuming S/X MCU2 has the same board (S/X MCU2 is air cooled).
So the liquid cooling for M3 is either because the sandwich/double board layout «requires» it (brighter minds than mine can answer that), or, it was an engineering decision based on a bunch of other parameters like NVH, maintenance/lifespan, dash design ++
[Admittedly whipping the off-topic horse here, but d00d what a fine horse]
And then a week later came and said on a conference call that it's a 30-minute swap?
IMHO, this is the easiest explanation there is no cost saving by removing FSD since they still have to do retrofits, and they cannot ship the cars without the AP computer since it also handles regular safety functions which are free.
Anyone know if 42.2 has preliminary stop sign capability? this video seems to suggest it (at 18:00)
Anyone know if 42.2 has preliminary stop sign capability? this video seems to suggest it (at 18:00)
Previous versions have shown a tendency to stop at T intersections. May have been map based vs vision.
It may not be reading signs but it's definelty stopping based on a map location (or maybe distance after exit/shutdown) I done multiple types of exits and it always stops at the right spot they all have variable distance, lane counts and some even have loops and end at a signal.This is nothing more than regular behavior for 42.2 after drive on nav completed. I do wish it could read signs but, My car stopped in the middle of road to wait until I pressed accelerator and this signifies hand off from drive on nav to regular autopilot. Based on that, the video shows a random chance of that stop happening at a location with stop sign.
Tesla Daily: Neural Networks & Autopilot V9 With Jimmy_d
“Jimmy_d joins the podcast to expand on his post from the Tesla Motors Club forum about neural networks and what he is seeing in the most recent Autopilot software update”
Listen:
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Other companies use way MORE neural network than Tesla
Also important to understand which audience Jimmy must know he was speaking to - layfolks and teslafans. Just listen to the interviewer’s questions/comments, like, this guy didn’t even know what Jimmy was talking about when he brought up @DamianXVI and @verygreen ’s videos. (Not holding it against him, I just think it’s telling of what audience Jimmy had for his talk.)As to the podcast I think it's important to understand that as a NN person, Jimmy is naturally going to be biased towards NN based approaches.
Also important to understand which audience Jimmy must know he was speaking to - layfolks and teslafans. Just listen to the interviewer’s questions/comments, like, this guy didn’t even know what Jimmy was talking about when he brought up @DamianXVI and @verygreen ’s videos. (Not holding it against him, I just think it’s telling of what audience Jimmy had for his talk.)
Jimmy deserves huge cred for daring to take the challenge of letting himself be interviewed in this context. I think he did an awesome job, especially considering he’s one dude and not some billion dollar company executive with his own PR-staff