Tesla's full AI Day 2022 presentation, covering the Tesla Bot hardware and software, Full Self-Driving planning and perception, the occupancy network, data labeling, simulation and Dojo training infrastructure.
Why Hacker News points people here: HN uses it as primary-source evidence on how Tesla's vision-based driving stack and training pipeline work.
“Learning about their engineering in that regard really changed my perception of the likelihood that they could solve the problem. Give it a watch”HN comment, 2024
“Learning about their engineering in that regard really changed my perception of the likelihood that they could solve the problem. Give it a watch”
Explains Tesla's driving training pipeline.
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> If the data from supervised driving can he used for unsupervised driving So you're unaware of the AI day presentations about their driving training pipeline. Learning about their engineering in that regard really changed my perception of the likelihood that they could solve the problem. Give it a watch: this video > failure to keep up with competitors like Waymo Looks like each of them lead in different ways to me. Waymo leads within certain specific city limits, Tesla leads on the open road. These seem to be direct consequences of their engineering decisions. Question is which will converge on working everywhere all the time.
RecommendsaeternumOct 2022
“It is pretty cool”
Covers Tesla's transition from 2D to 3D perception.
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It is pretty cool: this video They transitioned from 2D to 3D a couple years ago, major transition but it does seem like a critical step. We live in a 3d rather than 2d world.
Cites itzaptremOct 2022
“However, this is the transparency that makes up for it”
Tesla's AI Day as example of transparency.
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No, and they should be criticized for that. However, this is the transparency that makes up for it: this video
Cites itsimondotauOct 2022
“if you continue watching for around ten seconds you can see examples of the occupancy network visualised”
Shows the occupancy network visualised.
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As stated by Tesla just a few days ago, the occupancy network is not currently shown in the customer-facing visualisation. (Some unrecognised objects are represented by generic placeholders. This is derived from, but not the output of, the occupancy network.) This video links to the relevant citation, and if you continue watching for around ten seconds you can see examples of the occupancy network visualised: this video
Cites it113245Oct 2022
“The Tesla AI day videos [1] go into some detail about this.”
Details Tesla's multiple task-specific networks.
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The Tesla AI day videos [1] go into some detail about this. They use multiple networks that are dedicated to specific tasks. [1] link (2021), this video (2022)
Cites itwhiddershinsOct 2022
“he clearly states 16x dynamic range as a result of direct photon processing.”
Presenter states 16x dynamic range from direct photon processing.
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The replies to your comment don't seem to understand you at all. in the video link here this video he clearly states 16x dynamic range as a result of direct photon processing.
Cites itcptcobaltApr 2023
“Tesla's AI Day 2022 video, timestamped around labeling and simulation”
Covers Tesla's labeling and simulation.
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Exactly. There's no better facsimilie for the sheer variety of public roads than, well, public roads. Tesla even has rigorous simulation in place for hostile situations that should never occur on public roads: A good general overview from two minute papers: link Tesla's AI Day 2022 video, timestamped around labeling and simulation this video
Cites itschiffernFeb 2026
Tesla presentation treating cars as robots.
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>I've never really thought of Waymo as a robot in the same way as e.g. a Boston Dynamics humanoid, but of course it is a robot of sorts. So for the record, with this realization you're 3+ years behind Tesla. this video
