321–327 of 327 posts
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It was always a weird fit having a compiler and programming language designer lead an AI team.
Exactly. Chris is very smart but this is unlikely to be a good fit.
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it also helps avoid expensive lawsuits especially for high profile roles who have the money to sue
Not really.
In that case I have a bridge id like to sell to you
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As far as I know, no car manufacturer ships cars equipped with LIDAR. Nor do they seem to have a camera setup as extensive as Tesla. So I fail to see how Tesla has painted itself into a corner. The worst case is, that they are not reaching full autonomy with the current hardware setup. It certainly would be a big marketing blunder if they don't, but if necessary they can add LIDAR to the production, if they choose to…
> As far as I know, no car manufacturer ships cars equipped with LIDAR. I can confirm that, at least in a sense, this is false. There are plenty of series cars with LIDARS, but not he scaning things you are thinking about, but simpler kind of lidar tech[1]. I know that is not what you were talking about, but I thought it's worth pointing out other, existing, alternative approaches. [1] http://www.conti-online.com/www…
Waymo cars are really expensive because of that and they cant scale because Velodyne can't make Lidars that quickly.
You also consider the fact that Lidars are literally beams of light being emitted and reflections measured. If you have every car with a Lidar, you get interference and its not the gold standard of measurement anymore.
Tesla conquering the problem with algorithms is the right approach. Remember our brains use algorithms and two cameras to drive too. So its technically possible.
Nvidia keeps on pumping out faster GPU's, cameras keep on getting better. Teslas getting more and more data. They just need better algos while they wait for cheaper sensors that scale.
That's a very wise business move while everyone else waits for a magic bullet.
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Sorry, I kinda tuned out when you mentioned lidar like it's some requirement for autonomous driving. Lidar is AMAZING for giving press demos on sunny days. For the real world with rain, snow, leaves, plastic bags, etc? Useless. The future is radar + cameras + a LOT of software blood, sweat and tears.
I will take your self driving car seriously if you can drive it in all conditions in India. Until then its just an attempt to make something that breaks at the next unanticipated exception.
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That's like saying our eyes are useless because we can't see in the dark.
Not really. Self driving cars should be able to drive in all of those conditions (and one condition might even quickly turn into another, e.g. sunny into rain). If a technology only helps with some of the cases (e.g. fair weather) and does not work for the others, then there are two cases: (a) A single replacement technology will be found that works in 100% of cases. or: (b) The technology will only be used on the ca…
Isn't it interesting that we have five senses, when we could just have one that works in 100% of the cases? A third option is a system based on multi-sensory inputs. Several inputs that are just marginal on their own can provide good performance when combined.
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How is he throwing them under the bus? He said it turns out he didn't fit in well at Tesla. That's just being honest. If the alternative is phony politeness and masking reality under a guise of everything went great then I prefer this approach. This is a great aspect of the software industry IMO. And if you want to get lots of job offers then build some great OSS projects like this guy. It's a great way to demonstrat…
I don't know, to me the statement begs the question "So why wasn't it a great fit?". People are going to speculate regardless of an announcement from you, if it were me I would prefer to just keep my head low and let those who really care to know/I care to tell ask me (or Tesla) personally without a bunch of unneeded commentators jumping in and potentially putting negative connotations in my mouth. But I hadn't seen…
That's not "begging the question" [1].
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> As far as I know, no car manufacturer ships cars equipped with LIDAR. I can confirm that, at least in a sense, this is false. There are plenty of series cars with LIDARS, but not he scaning things you are thinking about, but simpler kind of lidar tech[1]. I know that is not what you were talking about, but I thought it's worth pointing out other, existing, alternative approaches. [1] http://www.conti-online.com/www…
I think Tesla not waiting for Lidars to get cheaper is the right decision. They can always integrate Lidar once they cheaper in the new models. Right now, no production car ships with a scanning Lidar that I know of. Waymo cars are really expensive because of that and they cant scale because Velodyne can't make Lidars that quickly. You also consider the fact that Lidars are literally beams of light being emitted and…
I had people working on these things that told me that interference is not an issue. Take this with a grain of salt but I would love to see some technical analysis about the possible impact of interference before dismissing LIDAR as susceptible to interference and the impact the interfecene it makes relative to the inference of positioning and spatial estimation.
I've found this: http://sci-hub.io/10.1109/ivs.2015.7225724 but it seems that while interference exist, from what I'm reading from the paper, they are not critical in the sense that they can't be worked around.
And if that is so, if you believe LIDAR is going to dominate the field, it's even more critical working with LIDAR early on so you have the know-how to fix the issues that might arise.