FSD Release Notes Leaked, Cybertruck Report, Twitter Crossover — Transcript
Full transcript
- 0:00hey everybody rob Mauer here and today
- 0:02we're going to be talking about new FSD
- 0:04Beta release notes 10.69.3 has started
- 0:07to roll out to employees so we'll go
- 0:08through those also got news on Tesla in
- 0:10China a report on the Cyber truck
- 0:12production timeline so I'm crossover
- 0:14news between Tesla and Twitter and a few
- 0:16other items as well another
- 0:17outperformance for Tesla today starting
- 0:19to add up a little bit this week Tesla
- 0:21up a tenth of a percent to close at
- 0:23227.82 while the NASDAQ was down nine
- 0:26tenths of a percent but again probably
- 0:28doesn't matter too much as we head into
- 0:29the fomc meeting tomorrow that'll
- 0:31probably be the major determining factor
- 0:33for where the market goes from here
- 0:34alright today we're starting off with
- 0:36some FSD beta news of course yesterday
- 0:38we talked about how Tesla had started to
- 0:40push out
- 0:4110.69.2.4 so no different release notes
- 0:43on that probably just bug fixes but at
- 0:45the same time it looks like Tesla
- 0:46started to push out 10.69.3 a new
- 0:49version out to employees we've been
- 0:52waiting for this for a couple of weeks
- 0:53and this version does contain
- 0:54significant changes which are captured
- 0:56in the release notes which have leaked
- 0:57as shown here on Twitter by homars where
- 0:59you've got about 15 different bullet
- 1:01points here and as usual it's fairly
- 1:03technical in terms of the language so I
- 1:05think it's very helpful to break these
- 1:06down and put them into broad categories
- 1:08of course there is going to be some
- 1:09overlap between these categories but
- 1:11chunking them up I think makes it a
- 1:13little bit easier for us to dig through
- 1:14and understand what we're really seeing
- 1:16in this update for me I'm really seeing
- 1:18four broad categories performance
- 1:19related changes really improving latency
- 1:21and things like that control so
- 1:23adjusting things in the planer and then
- 1:25lanes and also vulnerable Road users or
- 1:28vrus so we'll go through those
- 1:29categories but first just three kind of
- 1:31General bullet points that don't
- 1:32necessarily fit specifically in those
- 1:34categories Tesla has upgraded the object
- 1:36detection Network to Photon count video
- 1:38streams and retrained all parameters
- 1:40with the latest Auto label data sets
- 1:42with a special emphasis on low
- 1:43visibility scenarios so this is a big
- 1:45deal elon's talked a lot about this over
- 1:47the last year this is Tesla bringing in
- 1:49the most unfiltered possible data set
- 1:50that they're getting from their cameras
- 1:52not doing any post-processing on it and
- 1:54using that as the input for their object
- 1:55detection neural network and presumably
- 1:58that gives them the most robust data set
- 2:00to make the best decisions with and also
- 2:02save some processing where that
- 2:03filtering step might apply otherwise
- 2:05last year Elon described this on Twitter
- 2:07by saying that one of the improvements
- 2:08to FSD Vision involves training with
- 2:10actual Photon counts so removing the
- 2:12filters used to make pictures pretty to
- 2:14the human eye a common example of that
- 2:16might be an infrared filter which we
- 2:17wouldn't want to see in our pictures or
- 2:19videos but could be helpful to the
- 2:20neural network in figuring out what's
- 2:22going on around the same time last year
- 2:24Elon on the Lex Friedman podcast said
- 2:26that this will allow Tesla to see much
- 2:28better in the dark than you could
- 2:29possibly imagine due to small
- 2:30differences in photon counts so it's a
- 2:33big deal and Tesla chose to put this
- 2:35bullet point first it's also exciting
- 2:37that Tesla is using Auto labeling on
- 2:39these raw Photon count video stream data
- 2:41sets that's probably a key factor in
- 2:43even being able to make this change in
- 2:45the first place all right the other
- 2:46couple of points in the general category
- 2:48Tesla says that they have improved the
- 2:49architecture for better accuracy and
- 2:51latency higher recall of far away
- 2:53Vehicles lower velocity error for
- 2:55crossing Vehicles by 20 and improved
- 2:57vulnerable Road user Precision by 20
- 2:59percent think those ones are pretty
- 3:01self-explanatory and then finally in the
- 3:02general category Tesla upgraded the
- 3:04occupancy Network to align with Road
- 3:06surface instead of ego which is the
- 3:08vehicle or improved detection stability
- 3:10and improve recall at Hillcrest so that
- 3:13one's a little bit trickier just to make
- 3:14my best guess at that I would imagine
- 3:16that that means that Tesla is kind of
- 3:17anchoring the position of things that
- 3:19are appearing in the occupancy Network
- 3:21to the road surface rather than to the
- 3:23vehicle's position which then as I say
- 3:25there seems to improve the stability of
- 3:26the positioning and the recall at
- 3:29Hillcrest when things may be out of
- 3:31vision for a period of time alright and
- 3:34more specific categories here we've got
- 3:35three bullet points on performance
- 3:37related things so things that are
- 3:38reducing latency allowing the system to
- 3:40make quicker decisions the first one
- 3:42here is an 80 reduction in the run time
- 3:44of candidate trajectory Generations I
- 3:47believe these will be the generations of
- 3:48the possible paths the vehicle may take
- 3:50so to achieve this Improvement Tesla
- 3:52says that they have converted an
- 3:54expensive trajectory optimization
- 3:55procedure into a lightweight planar
- 3:57neural network I think this is exciting
- 3:59because Tesla has talked about using C
- 4:01plus plus for a lot of the planning and
- 4:03control work so where Tesla can convert
- 4:05some of those functions to neural
- 4:06networks there's potential for both
- 4:08better efficiency and better
- 4:09Effectiveness so it sounds like that's
- 4:11what Tesla is achieving here with the
- 4:13trajectory generation
- 4:14next performance Point Tesla has
- 4:16converted the non-vulnerable road user
- 4:18attributes Network to a two-stage
- 4:19Network which they say has reduced the
- 4:21latency reduced incorrect Lane
- 4:23assignments of Crossing Vehicles by 45
- 4:24and reduced incorrect Park predictions
- 4:27by 15 finally then Tesla says that they
- 4:30have reduced the best case input to
- 4:32Output or object Photon to control
- 4:34system latency by 26 through the
- 4:36combination of adaptive planar
- 4:38scheduling restructuring of trajectory
- 4:40selection and parallelizing perception
- 4:42compute I think that's mostly a summary
- 4:44of some of these other changes so main
- 4:46point for this category being that Tesla
- 4:48has changed a number of things that will
- 4:49allow Tesla to as they say here make
- 4:52quicker decisions and improve reaction
- 4:53time next a few bullet points here on
- 4:56control Tesla's improved control for
- 4:57vehicles cutting out of their desired
- 4:59path by better modeling their turning
- 5:01and lateral Maneuvers thus avoiding
- 5:03unnatural slowdowns anytime I see
- 5:05improvements on unnatural slowdowns that
- 5:06makes me happy that's probably as I've
- 5:08said before my most common intervention
- 5:10Tesla's also improved longitudinal
- 5:12control while offsetting around static
- 5:14obstacles by searching for feasible
- 5:16vehicle motion profiles so that would be
- 5:18better control of vehicle speed while
- 5:19going around things that are stationary
- 5:21and then Tesla also notes improved
- 5:23longitudinal control smoothness for
- 5:25in-lane vehicles during High relative
- 5:27velocity scenarios by also considering
- 5:29relative acceleration in the trajectory
- 5:31optimization now I'm not certain but I
- 5:34hope I really really hope that this
- 5:36means that if there's a vehicle in front
- 5:37of you and it speeds up that your
- 5:38vehicle will speed up and follow it a
- 5:40little bit more closely by factoring in
- 5:42the time that it takes to get back up to
- 5:44that relatively High Velocity if anyone
- 5:46has a different interpretation of that
- 5:47please let me know that would be amazing
- 5:48if that is what that means finally on
- 5:51control I'm not sure if this really fits
- 5:52into control or maybe I'm just
- 5:53misinterpreting something here but Tesla
- 5:55has added control for more precise
- 5:57object geometry as detected by General
- 5:59occupancy Network so I guess just
- 6:01improving the controls as Tesla has now
- 6:03moved towards the general occupancy
- 6:05Network to be more adaptive to the more
- 6:08precise information that Tesla is now
- 6:09getting all right last couple of
- 6:11categories here probably a little bit
- 6:12more self-explanatory first being Lanes
- 6:15Tesla has reformulated the auto
- 6:16aggressive Vector Lanes grammar which is
- 6:19a fun reminder back to AI Day 2 when
- 6:20Tesla talked about building their lane
- 6:22model off of language models anyway
- 6:24they've improved the Precision of lanes
- 6:26by nine percent recall of lanes by 19
- 6:28recalled Forks by 51 and they say this
- 6:31includes a full Network update where all
- 6:33components were retrained with 3.8 times
- 6:35the amount of data Tesla has also added
- 6:38a new road markings module to the vector
- 6:40Lanes neural network which improves Lane
- 6:41topology error at intersections by 39
- 6:44presumably that means that Tesla is now
- 6:46looking at more things on the road that
- 6:48can be then Auto labeled and used to
- 6:51improve the perception of the lane
- 6:52Network finally on Lane's Tesla says
- 6:55they've improved decision making for
- 6:56short deadline Lane changes around Gores
- 6:58which is the triangle area when one road
- 7:00splits into two so you've got the
- 7:02physical area where those roads split
- 7:04but then also the markings on the road
- 7:05indicating that that split is coming
- 7:07Tesla says they now have richer modeling
- 7:09of the trade-off between going off Route
- 7:11so going the wrong way when those splits
- 7:13happen or the trade directory required
- 7:15to drive through the gore region so
- 7:17obviously by that they're talking about
- 7:18the road markings of the gore region but
- 7:21kind of an interesting one here as I
- 7:22wouldn't think Tesla would be too eager
- 7:24to drive through those very often even
- 7:26if it seems like it could be
- 7:27accomplished anyway final category here
- 7:29is vru's vulnerable Road users Tesla
- 7:32says that they have converted the VRU
- 7:33velocity Network to a two-stage Network
- 7:35which reduced latency and improved
- 7:37Crossing pedestrian velocity error by
- 7:39six percent and Tesla's reduced to false
- 7:41slowdowns for pedestrians near
- 7:42crosswalks by using a better model for
- 7:44the kinematics of The Pedestrian so I
- 7:46think both of those pretty
- 7:47self-explanatory but again anything
- 7:49reducing false slowdowns in a safe way I
- 7:52think makes the product a lot better so
- 7:54that's everything in 10.69.3 definitely
- 7:56seems like a significant update
- 7:57hopefully employee testing goes well and
- 8:00some people outside of Tesla can start
- 8:01to get this version over the next week
- 8:03or so alright next up we've got a bit of
- 8:05an update on Tesla in China Moneyball on
- 8:07Twitter is reporting that the China
- 8:09insured units for the last week of
- 8:10October here have come in so October
- 8:1224th through the 30th at 8 1079 Vehicles
- 8:15if we combine that with previous insured
- 8:17vehicle reports we can see that October
- 8:193rd through the 30th is about 17 300.
- 8:22that's not going to tie perfectly with
- 8:24the retail sales or domestic sales
- 8:26figure that the cpca reports in a week
- 8:28or so but should be pretty close then
- 8:30you also have to factor in October 1st
- 8:31and 2nd and October 31st which is not
- 8:33covered here but it gives us a ballpark
- 8:35of somewhere around 20 000 vehicles for
- 8:38domestic sales during the month of
- 8:39October now this makes it pretty clear
- 8:41that Tesla is still doing a little bit
- 8:42of that delivery wave type of stuff but
- 8:44this would be if it is 20 000 the
- 8:47highest first month of the quarter for
- 8:49domestic sales in China so far still the
- 8:51numbers should be expected to pick up
- 8:53significantly for November and December
- 8:55especially following the price cuts that
- 8:57we saw on October 24th which like we
- 9:00talked about likely chosen by Tesla
- 9:01because they're ready to shift a little
- 9:02bit more of their production back within
- 9:04China also Shanghai related we've got a
- 9:06report from Bloomberg today that Tesla
- 9:08is sending over a couple hundred workers
- 9:10from gigashanghai to Fremont to help
- 9:13improve production at Fremont I think
- 9:15this is actually pretty exciting because
- 9:16we just saw Giga Shanghai go through
- 9:18their production upgrade very smooth
- 9:20huge increase in productivity in a very
- 9:22short period of time those people have
- 9:23seen that take place or rather have made
- 9:26that happen and hopefully can bring in
- 9:27some insights and improve productivity
- 9:29at Fremont as well all right next we've
- 9:31got an update from Reuters on Cyber
- 9:33truck production today I don't think
- 9:35there's anything really new here they're
- 9:36reporting that Tesla is aiming to start
- 9:38mass production of the Cyber truck at
- 9:40the end of 2023 according to two people
- 9:42with knowledge of the plants how they
- 9:45say mass production here so I don't
- 9:46think that's really any shift in the
- 9:47timeline oh indications have been the
- 9:49middle of 2023 for the start of
- 9:51production so of course it's going to
- 9:53take some time to get that to mass
- 9:54production which is somewhat of an
- 9:56arbitrary thing anyway usually for Tesla
- 9:58we're talking about that being a 5 000
- 10:00per week number that would actually be
- 10:01incredible if Tesla is targeting that
- 10:03for the Cyber truck for the end of 2023
- 10:05I would be surprised if they could hit a
- 10:07number like that but this report may not
- 10:09be talking about it in that way anyway
- 10:11all right the next Tesla item that's
- 10:13been getting a lot of attention over the
- 10:14last day or so I've gotten a few
- 10:15questions on this CNBC has reported that
- 10:18Elon has enlisted some help from about
- 10:2050 Tesla employees to help out with some
- 10:22of the changes that are going on with
- 10:23Twitter right now of course we've seen
- 10:25on Twitter Elon talking a lot about this
- 10:27today I think regardless of how you feel
- 10:29about it it is exciting to see how
- 10:31quickly Elon moves regarding Tesla
- 10:33employees helping out for this period of
- 10:35time though I don't care about it at all
- 10:36I trust Elon very much to make the
- 10:38proper organizational decisions that
- 10:40need to be made for both organizations
- 10:41and do so in a way that is not
- 10:43detrimental to Tesla we've already seen
- 10:45the competition for resources if you
- 10:47want to frame it that way between Tesla
- 10:49and SpaceX there's often crossover work
- 10:51between employees for those two
- 10:52companies and they manage just fine
- 10:54Tesla can do the same here with Twitter
- 10:56for a little bit and eventually that
- 10:58will probably Circle back around and
- 10:59Tesla will be able to benefit from
- 11:01Twitter employees Elon at the top makes
- 11:03that easy to facilitate and again I
- 11:05trust Elon to make those proper
- 11:06decisions without harming Tesla which by
- 11:08the way Elon still the biggest
- 11:09shareholder of Tesla still the majority
- 11:10of his net worth in test so it's not
- 11:12something that I'm worried about alright
- 11:14last few items here Panasonic has
- 11:16announced yesterday that they are going
- 11:17to start building their new battery
- 11:18plant that we've talked about in Kansas
- 11:20this month they say that they are aiming
- 11:22to begin mass production by March of
- 11:252025. next Toyota has reported their
- 11:28fiscal second quarter so it'll be
- 11:29confusing but their end of September
- 11:31quarter numbers and bottom line their
- 11:34net income which was 461 303 million yen
- 11:38which converts over to about 3.1 billion
- 11:40US Dollars was below Tesla's third
- 11:43quarter Gap net income of about 3.3
- 11:46billion dollars so pretty crazy
- 11:48Milestone especially to be achieved with
- 11:50such a disparity in scale at the moment
- 11:51but fun to see after all the criticisms
- 11:54of Tesla being the most valuable
- 11:55automaker over the years well now people
- 11:58are starting to see why that is anyway
- 12:00net income was down 28 percent
- 12:02year-over-year for Toyota and earnings
- 12:04per share was down 30 percent looks like
- 12:06the revenue was up 22 so not exactly
- 12:09sure what's driving such bad
- 12:10profitability and I know they've got
- 12:12foreign exchange headwinds on their cost
- 12:14structure but without spending more time
- 12:16analyzing it kind of tough to sort all
- 12:18those things out finally then today
- 12:20congratulations to SpaceX for the
- 12:22successful flight and landing of the
- 12:24Falcon heavy for the first time since
- 12:272019. always incredible to see those two
- 12:30boosters come back and land
- 12:31simultaneously so congrats and that's
- 12:33where we'll wrap it up for today so as
- 12:35always thank you for listening make sure
- 12:37you're subscribed and signed up for
- 12:38notifications you can also find me on
- 12:39Twitter at teslapodcast and we'll see
- 12:41you tomorrow for the Wednesday November
- 12:432nd episode of Tesla daily thank you
- 12:47[Music]
About this transcript
This page contains the full transcript of FSD Release Notes Leaked, Cybertruck Report, Twitter Crossover by Rob Maurer, generated from the public captions YouTube serves with the video. The transcript has 2,694 words across 408 segments, with the original timestamps preserved so you can click any line to jump to that moment in the embedded player.
What you can do with it
Use the transcript to take notes, quote the speaker, build a study guide, generate a summary with ChatGPT or Claude via the YouTube Summary tool, or export it as a timed subtitle file with YouTube to SRT. You can also re-open it in the transcriber to choose a caption track available on the video.
Free YouTube transcript tool
YouTube2Text is a free YouTube transcript generator — no signup, no daily limit. Paste any YouTube link and get the full transcript instantly, with timestamps, click-to-jump, caption language selection, AI prompts for ChatGPT, Claude, and Gemini, and exports to TXT, SRT, VTT, or Markdown.