Tesla's drive to hire specialized Korean chip… · Tesla Shorts 🚀
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🎧 If you only have 10 minutes this week Episode 468 · Tesla's drive to hire specialized Korean chip engineers in Seoul shows it's building its own silicon stack for future AI hardware rather than relying on outside suppliers. 2026-05-10 ▶ Listen now |
## Tesla X Takeover: What's Hot Right Now Here are the most interesting, fresh Tesla developments that have everyone talking. 1. **[Cathie Wood ranks Tesla first in AI and data center picks]** - Cathie Wood placed Tesla at the top of her list of AI and data center stocks. The ranking highlights expected gains from robotaxi deployment as a key growth driver. Wood's long-term target reflects confidence in Tesla's ability to scale autonomy software across fleets. The placement stands out because it ties vehicle software directly to data-center economics. Source: [x.com](https://x.com/tslaming/status/2053396214520168773) 2. **[SpaceX digital beamforming chip shrinks phased-array hardware]** - SpaceX revealed how a single silicon chip now handles what once required racks of analog equipment for satellite antennas. The design digitizes signals immediately and uses precise math to separate multiple beams from fewer antenna elements. Power-saving features drop unused paths to zero consumption, which matters for both Starlink Mini and future direct-to-cell service. The approach shows how tight hardware integration can cut cost and size in high-bandwidth wireless systems. Source: [x.com](https://x.com/tslaming/status/2053344245449445618) 3. **[Tesla Vision posts compare human view to vehicle perception]** - Tesla shared side-by-side images showing what a driver sees versus what the car's cameras and neural nets detect. The clips emphasize how the system tracks objects and road features beyond the visible light spectrum in some cases. They serve as a reminder that perception improvements continue even as hardware stays fixed. Viewers noted the gap between human attention and continuous machine monitoring. Source: [x.com](https://x.com/Tesla/status/2053188146989609209) 4. **[Milliseconds matter in Tesla safety timing]** - A short post from Tesla stressed how fractions of a second affect crash outcomes. The message aligns with ongoing work on pre-collision systems that act before physical contact occurs. It underscores the value of fast sensor fusion and decision loops in the vehicle stack. The emphasis keeps attention on incremental safety gains that accumulate over millions of miles. Source: [x.com](https://x.com/Tesla/status/2053128484931903592) 5. **[Owner saves high-mileage Model 3 for $7,600]** - A buyer acquired a used Model 3 RWD with substantial mileage at a low price and plans to keep it running. The purchase illustrates how older Teslas remain attractive on the secondary market when battery health holds up. It also shows practical interest in extending vehicle life rather than replacing at the first sign of wear. The story adds color to discussions about long-term ownership costs. Source: [reddit.com](https://www.reddit.com/r/electricvehicles/comments/1t8tzln/saved_this_high_mileage_ev/) ## Short Spot One critical or challenging item from pre-fetched news that Tesla needs to address. **Signature Event Postponed:** May 9, 2026, r/teslamotors Tesla pushed back the Signature Edition delivery event at Fremont after the final Model S and Model X units finished production. No new date has been announced, leaving owners and enthusiasts without a clear timeline for what was meant to be a milestone celebration. The open-ended delay risks dampening the sense of closure around the current S and X generation and could prompt questions about whether production or logistics issues are still surfacing. Source/Post: https://www.reddit.com/r/teslamotors/comments/1t8okdr/signature_event_postponed/ ### Tesla First Principles Taking a step back from today's headlines, Tesla's decision to recruit wafer-fabrication engineers directly in South Korea challenges the assumption that its vehicle business can keep scaling without deeper control over upstream silicon. The postings target process specialists in lithography, etch, and metrology—the exact disciplines that determine yield and cost at leading foundries. By locating the effort in Seoul, Tesla gains access to a labor pool already trained on sub-10-nanometer nodes, shortening the learning curve that would otherwise stretch years if the company tried to build that expertise from scratch in the United States. If the hires translate into even partial in-house process capability, Tesla could shorten iteration cycles between chip design and vehicle integration, much as it did when it moved from off-the-shelf GPUs to its own Dojo and inference silicon. That vertical step would matter most for autonomy hardware, where small improvements in power or latency compound across millions of vehicles. |
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| Issue #468 · Tesla Shorts Time · May 10, 2026 |
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