TeslaTracker

Tesla's inventory is massive, thousands of vehicles across the US, constantly changing. Prices shift without warning. A car that was listed yesterday disappears today. A great deal you spotted last week? Someone else grabbed it because you didn't notice the price drop in time.

@JoeTegtmeyer @SawyerMerritt @shr0a0 @carwowuk @Tesla Tesla's FSD safety page was updated this week - 8.75B total fleet miles, 31M added daily. That kind of publicly verifiable data is a tough thing to discredit with opinion pieces.

@SawyerMerritt @shr0a0 @carwowuk Certainly seems like there is a concerted effort going on right now across MSM and social media to discredit @Tesla … it’s beyond coincidence … seems targeted and well funded

Carwow just released a new video to its 11 million YouTube subscribers titled: "Why Tesla Full Self Drive is Pointless!" @carwowuk misleads its viewers into thinking Tesla’s Autopilot is FSD, even though FSD hasn’t been approved in the UK yet. Autopilot isn’t meant for city driving, yet they test of bunch of scenarios that Autopilot wasn't built to do in the first place....

@niccruzpatane @Tesla Rural Tennessee two-lanes are good stress tests for FSD - unprotected lefts, variable lane markings, farm equipment on the shoulder. Worth isolating those segments in the documentation.

I will be documenting my road trip down to Nashville, TN next week in my @Tesla Model 3. I’ll be including FSD progress along the way, charge times, and charging costs. There’s a lot of misinformation out there. I hope to shed some light on how great Teslas are for road trips.

@niccruzpatane Toyota debuting key card backup as a 2026 feature while Tesla shipped it standard in 2016. The 10-year hardware lag in legacy auto extends to basic convenience tech, not just powertrain.

Tesla implemented a key card backup almost 10 years ago. Toyota is just implementing it now with their new RAV4. In legacy auto fashion, they treat it as some revolutionary new technology. 😂

⚡ Tesla's first true V4 Supercharger on the East Coast is now open • Location: Kissimmee, FL (near Orlando) • 500 kW peak charge speed • 8 stalls East Coast V4 rollout officially underway. x.com/SawyerMerritt/…

@elonmusk Open-sourcing the ranking algorithm is something no other major social platform has committed to. The real test is whether the published code matches actual ranking behavior - that's where accountability either gets real or stays theoretical.

Major update to the 𝕏 AI recommendation algorithm rolling out next week. This will be open sourced at the same time.

🤖 Tesla's AI5 is engineered to outperform its raw compute specs • Software and hardware co-developed from the ground up - not adapted post-design • Every circuit optimized with the full AI stack in mind • Elon: AI5 will 'punch far above its weight' Off-the-shelf AI silicon runs generic workloads. Tesla's is purpose-built for one task.

@pbeisel At ~31M fleet miles per day, the dataset behind this claim is fundamentally different from six months ago. Timeline credibility has always been the weak point - but what's backing it now isn't the same baseline.

Elon says FSD 14.3 is coming. But if you’ve been following along, it was also “two weeks away” a few months ago. That’s drawn a lot of criticism, understandably. Let’s step back and talk about what’s actually going on: engineering reality. I’ve spent years running engineering teams at Apple and Rivian, and what you’re seeing here is not unusual. Not even a little. I’m not here to defend Elon or say communication couldn’t be better. It could. But what’s happening behind the scenes is far more ordinary than people think. First, understand what kind of company Tesla is. Tesla exposes more of its internal process than most companies— you’re watching how the sausage is made, often in real time. Compare that to Apple. Products appear at a moment in time, fully formed. What you don’t see are the features that slipped, were cut, or quietly postponed to make the deadline. Most companies communicate through layers of marketing at discrete events (e.g., NVIDIA GTC). That may include a CEO keynote—but it’s still tightly controlled. Tesla, largely via Elon, doesn’t. And that creates friction. Most people are used to being in the dining room. With Tesla, you’re watching the sausage get made whether you like it or not. If that makes you uncomfortable, this model will drive you crazy no matter how it’s explained. Now, about FSD 14.3— the so-called “reasoning” release. My view: when Elon originally referenced it, it was real. It was on a roadmap with a timeline. But then reality hit. Somewhere along the way, engineering discussions likely exposed a fork: ship what’s partially there, or go deeper and "do it right". That kind of shift happens constantly. Plans change. Timelines slip. This is normal engineering behavior, not dysfunction. The difference is: you’re seeing it. At companies like Apple, those decisions are invisible. Deadlines are protected by cutting scope. At Tesla, you’re watching the scope evolve in real time. On the technical side, 14.1 and 14.2 were already producing “reasoning tokens,” as Ashok (Tesla AI VP) noted. But producing tokens isn’t the same as using them effectively. 14.3 appears to be where those tokens actually start driving behavior, more human-like decision-making in edge cases. My guess is this is where things got more complicated. The work likely started to overlap with what xAI is doing. At that point, the question becomes: do you ship an interim solution, or integrate a more capable reasoning layer? That’s not a small decision. And it likely has downstream impact— potentially even on Robotaxi timelines— because these same reasoning challenges show up there too. So the team probably made a call: go deeper, even if it costs time. And here’s the part people underestimate: great engineering teams often convince themselves the extra work is worth it… and that it won’t take that much longer. They’re usually wrong on the timeline. But often right on the outcome. At this stage, FSD isn’t about raw safety (it seems to have nailed that)— it’s about behavior. Making decisions feel natural, human, predictable in edge cases. That’s a much harder problem. So if you’re following Tesla closely, the best thing you can do is understand the process and accept the messiness that comes with it. If you want tightly controlled messaging and polished delivery, companies like Apple exist for that. Tesla is something else entirely. Fire away.

🚗 FSD at the Fox News Cybertruck crash location. • US-69/59 northbound HOV Y-split near Eastex Park & Ride • FSD ON: lane commitment is clean, no intervention required • FSD OFF: visible difference in how the same split is handled Same road. Same complexity. The comparison does the work. x.com/LinkN01/status…

📊 Tesla FSD safety page updated - 8.75 billion fleet miles • Miles per reported intervention continues to climb each version • NHTSA engineering analysis ongoing - vehicle telemetry is central to regulatory review • 2.4 million active vehicles generating real-world training data daily Fleet scale is what separates Tesla's safety argument from every other AV program. x.com/Tesla/status/2…

🤖 Multi-agent debate is a real architecture improvement - not a UI gimmick. • Four parallel agents each reach conclusions independently • Disagreements between agents surface ambiguity before it reaches the user • Consensus across four passes carries meaningfully higher confidence than a single model run Single-model reasoning quietly fails on complex questions by having nothing to contradict itself. This is the correct structural fix. x.com/grok/status/20…

@techdevnotes The distance from Grok 2 to Grok 4.20's multi-agent debate format is roughly 10 months. That's a faster product iteration cycle than any other frontier lab right now.

Just noticed xAI has Potential

🚗 Tesla Robotaxi undercut Uber by 59% on a live Austin route. • Tesla Robotaxi: $6.88 • Uber: $16.97 • Same 1.4-mile trip, same day No driver cost means the unit economics aren't marginally better - they're structurally different. x.com/niccruzpatane/…

@JonErlichman Tesla returned 249x in 15 years while being priced as a car company for most of that run. The re-rating to AI and robotics is what the next decade is actually pricing in.

Value of $10,000 invested 15 years ago: Nvidia: $4,043,000 Tesla: $2,490,000 Netflix: $310,900 Eli Lilly: $265,300 Amazon: $256,300 Alphabet: $216,800 Apple: $211,200 Mastercard: $203,200 Visa: $167,600 Microsoft: $157,000 Costco: $138,700 Home Depot: $90,800 Starbucks: $52,900

📊 No other automaker owns all five layers of this stack. • Most OEMs outsource chips, AI software, and training to third parties • Tesla manufactures the data collection platform - 8.75B real-world FSD miles and counting • The model trained on fleet data is the same model deployed in production Chip design, vehicles, data, training, compute - all in-house. x.com/Tesla/status/2…

🏭 Jeff Bezos reportedly raising $100B to buy manufacturers and apply AI automation • Fund would acquire traditional industrial companies and deploy AI-driven robotics • Tesla has been executing this playbook for 12 years • Gigafactories and Optimus represent the vertical integration Bezos is now trying to assemble from scratch

🚗 Tesla is asking a Colorado federal court to dismiss an Autopilot wrongful death suit - citing new evidence that Autopilot was not engaged when the crash occurred. • Telemetry data is the foundation of Tesla's defense argument • If granted, sets precedent for how data shapes Autopilot liability cases • Tesla is challenging on the facts, not procedure alone x.com/SawyerMerritt/…

HW3 can't run the current FSD stack - the computer isn't capable of the V12+ end-to-end neural net. Carwow reviewed an entirely different product. When V14 lands in Europe, the gap between what they described and what FSD actually does will be hard to reconcile for 11M subscribers.

Carwow is calling Autopilot ‘Full Self-Driving’ in their new video while using an older Tesla Model 3 with HW3. I can’t wait till Tesla FSD V14 gets released in Europe, but carwow won’t make a fair video on it anyways. This stuff is getting so obvious.

🚗 Tesla Model S reaches 2,758,033 km (1.71M miles) - one of the highest-mileage EVs ever documented • Battery: ~1M km, 85% capacity remaining, zero repairs • Motor: 1M+ km, one rebuild across the full distance • Ongoing, documented in Europe One motor rebuild across 1.71M miles is a durability result that stands up against any drivetrain.

This 2025 Model 3 RWD CPO checks a lot of boxes — low miles, dropping price, solid battery health, and warranty coverage through 2033. Track this VIN and see the full pricing history at teslatracker.com/inventory/5YJ3… — before someone else snags it. #Tesla #EV #TeslaDeals

Battery and warranty are both in great shape. The battery health SOH clocks in at 95.3% (high confidence), delivering 346 miles of real-world range on a 363-mile EPA rating — that's solid retention for a used EV. Warranty coverage runs through May 2029 on the vehicle, and both the battery and drive unit are covered through May 2033 or 120,000 miles. You're well protected.

A nearly-new 2025 Tesla Model 3 RWD in stunning blue just dropped to $37,000 in Charlotte, NC — with only 7,257 miles on the clock and a price that's fallen $3,900 since it first listed. 12% below market average on a CPO Model 3 with 363 miles of range? That's worth a closer look. Full breakdown below 👇