$OUST OG | Believer in Physical AI Deep dives: https://xitter.cf/t.co/mdmX76NzAT Personal views only. Not financial advice.

Los Angeles, CA
Joined August 2010
Ouster will be at Off-road Autonomy & Robotics 2026 in Munich, October 28 to 29. Off-highway machines work where autonomy is hardest: dust, vibration, mud, and terrain with no lane lines or reliable GPS. Roman Katz from Ouster will take the stage on October 29th at 1:30pm to cover where the off-road market is heading, with deployment examples from Komatsu and Volvo Autonomous Solutions.
6
65
2,137
🚨 $OUST Stereolabs introduces the ZED Box 2 Series, a new generation of industrial edge AI computer. These computers are engineered for autonomous mobile robots (AMRs), robot vision, and spatial AI systems requiring high-throughput multi-camera perception and edge processing. "Robot vision shouldn’t take five suppliers," said Edwin Azzam, CTO and co-founder of Stereolabs. “With ZED Box 2 Series, we provide robotics developers with the unified compute, cameras, lidar, and perception software that come from one team that tests them together and stands behind all of it. Plug in your cameras and you can have reliable 360° perception in minutes, not weeks." Full press release: businesswire.com/news/home/2…
11
3
68
5,076
马斯克这个人吧,他谁都不怕,他攻击过英国,法国,德国,加拿大,现在又攻击乌克兰,只有一个政党他不敢攻击------中国共产党。
260
84
11
1,516
167,606
ppdd retweeted
Replying to @DeNebulord
Believing @elonmusk's BS numbers is worse than being short sighted.
1
1
2
656
ppdd retweeted
Replying to @Global_hawk_eye
Good point. But ADAS needs to be compared with other ADAS, and L4/robotaxis with other L4/robotaxis. Most human drivers might not have seen this pedestrian crossing the road either, but that doesn’t mean Tesla’s decision to design FSD as a vision-only system wasn’t a design oversight. My argument is simple: FSD’s camera-only design was a flaw in this accident, and LiDAR could have prevented it. That’s the point I was making.
3
1
3
538
ppdd retweeted
Replying to @Louistesla93
特粉们无法接受完全可以理解。但事实就是FSD没有及时探测到这个行人,等发现时已经太晚了,预估在不到1秒的提前量才发现他,否则以FSD的灵敏肯定可以变道避让了。这个紧急情况刹车是意义不大的,只是争取变道的时间。 I-80据AI说是4-5车道,行人从右肩进入高速路,要跨越2-3条车道才能到达FSD所在的左侧第二车道,如果是激光雷达的话,在100米外(70mph的速度大约每秒30米,所以100米大概是3-4秒前)就发现了,足够的时间去变道或者刹车。
5
2
1
4
4,441
ppdd retweeted
$OUST a sample of military applications.
2
31
1,679
Caesar Capital increased its position in Ouster $OUST today at $28.74 per share 🏛️ New average cost basis: $27.73 (up from $27.61)
Caesar Capital increased its position in Ouster $OUST today at $29.63 per share 🏛️ New average cost basis: $27.61 (up from $27.39)
5
2
1
80
4,824
ppdd retweeted
$OUST, $AEVA, $INVZ, $MVIS: For those who think all LiDAR companies are equal in their ability to win the business of the future, based on bits of news today, look at what the real dynamics show. They are not the same. Stability and lasting financial support to develop the next device are constants required not just to compete but to survive a technical upgrade cycle in Capex but also in R&D. Secondly, shareholders feed the narrative with equity sales, but the narrative must lead to results, or it remains just prints of presentations. Look at the last six months. Ouster generated $103.2M in revenue and used operating cash equal to 19.4% of sales. $INVZ generated $25.2M and used cash equal to 114.3% of sales; $MVIS generated $2.4M and used cash equal to 1,477.9% of sales. Then look at how a low price creates the illusion of value despite the trailing EBITDA losses. The operating evidence is a clean knockout of the idea that $INVZ and $MVIS are the same as Ouster. Everyone has an opportunity to dream, but investment dreams only succeed with the long game of value creation, not storytelling. Finally, the recent selling creates the perception of a structural crisis at Ouster, but in reality it is the rotation away from AI spending fueled by mountains of debt. This moves blocks of value out of anything stamped “AI” in the stampede of algorithmic selling. But knowing what you own delivers conviction for the future. This is not my first rodeo, and likely not the last. These tables show where your money should be going and where it should not. Know what you own. $OUST
1
4
36
2,762
Power plants, refineries, and other critical infrastructure age from the inside out, in places that are hard and hazardous for people to inspect. Gecko Robotics sends robots into those spaces, and Ouster digital lidar is part of how they navigate complex industrial environments and build high-fidelity digital twins of the assets they inspect. We're proud to support @geckorobotics in their mission to build, sustain, and modernize the world's most critical infrastructure.
4
13
99
4,047
BREAKING: Further espionage insanity from China China owns the cars Norway’s soldiers rented for a military exercise. The cars proceeded to recorded the gate codes. The Home Guard used Hertz vehicles during a September drill in Oslo. Hertz’s ownership runs through Volvo to Zhejiang Geely. Soldiers found stored video of who got in, where they drove, and the codes they typed to open military gates. They kept using the cars. No replacements. Volvo still says Chinese ownership is not a risk. This is where reliance on Chinese tech leads you.
Norwegian soldiers discovered that Chinese-owned Volvo rental cars recorded and stored videos during a major military exercise in Oslo from September 14–18. The footage captured soldiers entering and leaving vehicles, their movements, locations and even security codes used to access restricted areas. Despite the discovery, the military continued using the cars due to a lack of alternatives. Source: DN
171
1,974
166
8,375
678,633
Marjorie Taylor Greene just wrote her best tweet ever.
2,267
18,568
1,241
108,213
4,051,884
ppdd retweeted
Replying to @Jason
@Ultraroboticsco is a customer of @ousterlidar, using three ZED cameras—one in the head and two in the arms. $OUST
2
9
1,061
$OUST is my picks-and-shovels way to own Physical AI, selling 3D perception into warehouses, logistics and autonomous systems without needing to guess whether $TSLA, $CCXI, Figure or any other robot maker wins. Safe perception is what lets robots scale reliably and Ouster wins as that happens regardless of which manufacturer leads the market. You can already see that starting to happen with Q2 revenue up 56% to ~$55M across 17,000+ lidar and camera sensors at ~$3,200 per unit on average while Stereolabs broadens stack beyond lidar alone.
22
27
1
326
67,609
ppdd retweeted
$oust @Hanwha_Official Arion-SMET c-uas 360 protection so you can keep your head on swivel - also a pack mule 🫏
Lethality starts here. Last week, at Aberdeen Proving Ground, the Army showcased the next generation of capabilities built for one purpose: ensuring our warfighters dominate and destroy the enemy on any battlefield. @SecWar made it clear that autonomy is not just the future of warfare. It’s how we win.
1
5
893
California responds to Trump 🤣🎯
140
3,162
110
20,280
244,287
.@nvidia JetPack 7.2 is now supported across all @Stereolabs3D ZED X GMSL cameras and AVerMedia Jetson Orin and Thor carrier boards. A unified driver architecture from Stereolabs, an Ouster company, lets hardware and software releases ship in parallel, for a faster path to production. Read the full announcement here: businesswire.com/news/home/2…
6
1
75
3,063
AVerMedia Technologies and Stereolabs, an $OUST company, announce $NVDA JetPack 7.2 support across all Stereolabs ZED X GMSL cameras and AVerMedia’s $NVDA Jetson carrier boards. This allows robotics & edge AI developers a faster and more efficient path from development to production. This collaboration allows AVerMedia hardware development and Stereolabs software releases to progress in parallel, shortening validation cycles and giving customers greater control over product schedules. $OUST continues to lead the charge in world-class sensing & perception for physical AI applications.
1
5
40
3,561
As someone who has a brain (and dealt with point cloud data for several years professionally)... This is the most intellectually dishonest way to present the limitations of LIDAR. It's presenting a 2D projection of a 3D space with anything that could be used as context stripped
Can you tell me what you see here? These are the actual LiDAR points.
9
3
3
126
56,603