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Mango
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Mango
@oppositemandoew
🤖🚕🔋🔌⚡️📈 I have a love / hate relationship with Tesla.
California Katılım Şubat 2011
2.1K Takip Edilen1.9K Takipçiler
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Unsupervised is going vertical $TSLA
On the last earnings calls, @elonmusk said they will expand the network once they are comfortable with Robotaxi performance
They must be getting very comfortable with the safety stats out of Austin, Dallas, and Houston 🤠

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It LOOKS like Tesla is getting the safety hitchhikers out of the car, but how do we know they aren't just moving them to the frunk? Has anyone checked?
Herbert Ong@herbertong
🚨 Tesla just moved 4 more Model Ys to unsupervised, total now 36 Robotaxis These cars were running with safety drivers before, now fully driverless. This kind of conversion is key, scaling autonomy isn’t just adding cars, it’s upgrading the fleet. 🚀 $TSLA
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I don’t think the market fully understands what Rev8 is yet. Let me elaborate. $OUST $TSLA @elonmusk
@ousterlidar Rev8 isn’t just “better LiDAR” — it’s pushing into camera territory, and that matters for autonomy.
• 48-bit color vs iPhone ~24-bit → dramatically higher color precision, especially in low light or subtle texture differences
• 116 dB HDR vs iPhone ~80–90 dB → far more resilient to glare, direct sun, headlights, and shadow transitions
• Megapixel 3D point cloud → from sparse geometry to image-like spatial detail
Even high-end industrial cameras typically run ~10–12 bit and ~100–120 dB HDR. Rev8 is now in that class — while also giving you native depth.
Why this matters for robotaxis and robotics:
Pure vision systems like @Tesla FSD struggle with:
Glare (sunset, wet roads, headlights)
Extreme contrast (tunnels, shadows)
Scale ambiguity (is it a shadow or an object?)
Low-light noise
Rev8 directly addresses these:
116 dB HDR → maintains perception in blinding light + deep shadow in the same frame
48-bit color → preserves signal fidelity where cameras clip or quantize
Native 3D + color → eliminates depth ambiguity entirely
This isn’t just incremental. It’s the first time a single sensor starts to close the gap on what pure vision can’t reliably do — while removing the need for fragile sensor fusion.
If this scales, it doesn’t just improve LiDAR. It reshapes the entire perception stack.

Mehran Jalali@mehran__jalali
These are insane
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@SawyerMerritt @grok does the market like it went wide releases happen and how has stock done historically when wide releases occur?
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Big wave of FSD V14.3.2 just went out. Check your Tesla app.
Fernando Oliveira Jr@fernandojunior
@SawyerMerritt Going wide now 🕺
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