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Tesla’s updated deadline for referral program winners shows focus on logistics

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Tesla has announced that all winners of the recently-concluded Referral Program must select their prizes by February 28. After this date, those eligible for rewards would not be able to redeem their prizes anymore. Based on the deadline cited by Tesla, it appears that the electric car maker is aiming to start the second quarter of 2019 on a clean slate, as it pursues sustainable profits and a steady Model 3 ramp.

Prior to the recent update, Tesla’s deadline for the selection of referral program prizes was listed on April 1, 2019. Tesla has not revealed its reasons behind its updated deadline, though based on the company’s recent challenges in Europe, there is a good chance that the February 28 date was set as a means to optimize logistics in the coming quarters. Despite most of the items related to the rewards system likely being in Tesla’s inventory (such as wall connectors and wheels), the processes involved with ordering, processing, and shipping the prizes are no joke. Factor in possible returns and other fulfillment issues and the logistics involved in the referral program’s distribution of prizes becomes even more notable. 

By moving the deadline for the referral program’s prize selection to February 28, Tesla appears to be ensuring that its logistics capabilities are not weighed down unnecessarily in the coming months, especially as the company prepares for the upcoming rollout of the Mid Range Model 3 RWD to international markets. Tesla learned in its first European Model 3 shipment that the processes involved in moving vast numbers of vehicles to customers in a foreign country are no joke. That said, these recent challenges are but the tip of the iceberg for Tesla, as thousands more would be coming to China and Europe in the coming months.

Tesla appears set to operate using a lean, optimized team this year, as evidenced by the 7% workforce reduction that the company implemented last month. As it tackles its most ambitious year yet, Tesla seems set on focusing its workforce in pursuing high-value tasks such as expanding its service network and helping ensure a smooth Model 3 ramp. In this light, it would be far more preferable for Tesla’s logistics team to busy itself with tasks far more urgent than fulfilling referral program prizes.

Below are the timelines for the redemption of Tesla’s referral program awards.

  • Launch Your Photo into Deep Space Orbit: Additional details will be emailed ahead of the launch.
  • Signature Black Wall Connector: Current shipping times are 6-8 weeks.
  • Model S for Kids: Model S for Kids will be shipped directly from Radio Flyer in April. Those who choose to donate to a children’s charity will receive an email from the organization when the donation has been completed.
  • 21” Arachnid Wheels for Model S or 22” Turbine Wheels for Model X: Wheels are shipped to your selected Service Center 6-8 weeks after award selection. Your Service Center will contact you once your wheels are available for pick-up.
  • Forged Performance Wheels for Model 3: Model 3 wheels will be available for installation beginning Summer 2019.
  • One Week with Model S or Model X: You will be contacted by your selected location based on availability. If you do not use this award, it may be given to a friend.
  • Priority Access to Vehicle Software Updates: Priority software access will automatically be granted until December 31, 2020.
  • Unveiling Event Invitations: Invitations will be emailed ahead of each unveiling event. Once each event is at capacity, remaining winners will be invited to the following unveiling event, prioritized by time of award qualification.
  • Tesla Credit: Credits are applied to your account within 1-2 weeks of selection from the app or solar referral email survey. All credits expire after 12 months.
  • Cash: Once survey responses are selected, checks will be issued within 4-6 weeks.
  • Founder Series Powerwall 2: Founder Series Powerwalls will be shipped in 2019. In Europe, Middle East and Asia-Pacific, customers can select credit toward other products in lieu of this award.

Tesla’s recent update on the referral program’s awards selection deadline could be accessed here.

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Elon Musk

Tesla AI boss reveals how big Optimus is going to get

Tesla’s Optimus chief corrected himself on X, confirming a staggering 10 million robot production target.

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Tesla Optimus Gen 3 [Credit: Tesla]

Tesla’s Optimus program has a new number attached to it, after Ashok Elluswamy, the executive who has run the humanoid robot program since June 2025, posted a three word correction on X Thursday, “Correction, 10 million robots.”

The line clarifies the long term annual capacity Tesla is building toward its planned second Optimus production line at Gigafactory Texas, a figure Musk has cited repeatedly since last year’s shareholder meeting.

The scale is worth noting, because ten million robots a year would mean Tesla building more units annually than most countries sell in new cars. Tesla has framed this as a second line, not the first. The buildout is happening in two phases: a roughly one million unit per year line inside Tesla’s Fremont factory, installed on the floor space vacated when Model S and Model X production ended earlier this year, and a much larger dedicated facility under construction at Giga Texas that broke ground on its first steel structure in May. That Texas facility is the one Elluswamy’s correction refers to, and is expected to reach volume production sometime in 2027.

Tesla Optimus project fires up as Musk sees production line progress

Elluswamy took over Optimus from Milan Kovac last summer and has spent the months since talking up the program’s trajectory. Elon Musk has also floated the ten million figure at Tesla’s 2025 shareholder meeting.

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Ending Model S and Model X production to make room for the first Optimus line was one of the more consequential manufacturing decisions in the company’s recent history, retiring two flagship vehicles in favor of a robot that has yet to enter mass production. Musk has previously estimated per unit production costs at $20,000 to $25,000 once Tesla reaches a million units a year, though he hasn’t said what that cost looks like at ten times the volume.

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Autonomous vehicle red tape gets slashed by Trump Administration

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Credit: Zoox

The Trump Administration today made several key moves to help with the deployment of autonomous vehicles by cutting overreaching red tape that has stifled growth and innovation for years.

The moves, which were put forth by the National Highway Traffic Safety Administration (NHTSA), aim to grant temporary exemptions to at least one company currently, although that could expand in the coming months. Additionally, it will work with organizations to develop standards and a sound but efficient regulatory landscape.

Zoox is the only company mentioned explicitly by the Trump Administration in its press release announcing the new terms today. They will receive a temporary two-year exemption that will allow the commercial deployment of up to 2,500 vehicles annually for two years.

There is a potential exemption for Robomart, Inc., which “requests a temporary exemption from certain FMVSS No. 500 requirements for a low-speed vehicle operated by an ADS without a human driver onboard. NHTSA will publish a separate notice seeking public comment on its merits once the initial evaluation is complete,” the agency said.

Here are the five new terms that Secretary Sean Duffy has implemented through the NHTSA today:

  1. Allow Zoox to commercially deploy its robotaxis through a temporary exemption.
    This temporary exemption will allow the commercial deployment of up to 2,500 vehicles annually for two years, subject to an enhanced, adaptable oversight structure that can evolve as Zoox’s technology advances.
  2. Accelerate development of first-ever AV performance standards through a partnership with SAE Industry Technologies Consortia (ITC).
    This partnership will fund a three-year, $5 million “A2SCEND” consortium, bringing together experts to gather data and accelerate creation of the first-ever AV performance standards. This project will inform a single national standard for AV safety to eliminate the patchwork regulatory landscape that has stifled innovation for years.
  3. Publish an interim final rule that allows vehicles manufactured prior to an exemption to be eligible for a commercial deployment exemption.
    This rule will modernize the application process and improve access to exemptions for innovators, including AV developers, by granting the NHTSA Administrator the discretion to apply temporary exemptions to vehicles manufactured prior to the effective date of an exemption grant.
  4. Streamline the application process for Part 555 exemptions by updating guidance and soliciting feedback from the public.
    By updating the Part 555 exemption process—which allows automakers to temporarily sell a limited number of non-compliant vehicles, primarily to test new technologies—NHTSA is aiming to create a more flexible oversight structure for exemptions and summarize recent AV framework activities, including expanded exemption pathways, streamlined crash reporting, and ongoing efforts to modernize Federal Motor Vehicle Safety Standards (FMVSS).
  5. Establish a new Federal Docket for public feedback on NHTSA’s updated safe AV development and deployment guidance.
    NHTSA is updating its technical guidance for AVs for the first time since 2017—focusing on key safety areas like emergency responder interactions, safety management systems, remote assistance, and post-crash behavior to help the industry scale up driverless deployments safely.

Additionally, the NHTSA said it has modernized some safety standards by proposing updates to:

  • FMVSS 102 – Transmission shifting
  • FMVSS 103/104 – Windshield defrosting and wiping
  • FMVSS 110 – Tire placards
  • FMVSS 135 – Braking systems
  • FMVSS 101 – Controls and displays
  • FMVSS 108 – Vehicle lighting
  • FMVSS 111 – Mirrors and rearview display
  • FMVSS 126 – Electronic stability control systems
  • FMVSS 201/208 – Sun visors and warning labels

These changes aim to make the regulatory process for autonomous vehicles more streamlined and efficient, which could help the U.S. gain dominance over autonomous vehicle systems moving forward.

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Elon Musk has a crazy prediction about AI in two years

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Daniel Oberhaus, CC BY-SA 4.0 , via Wikimedia Commons

Elon Musk is, in many respects, one of the biggest and most influential figures in modern-day artificial intelligence.

Given that Tesla, SpaceX, and xAI are all looked at in their respective fields as leaders to an extent, each of them has a heavy influence on the future of AI, even though two of them are not thought of, at face value, as AI companies.

Musk has grand expectations for what is to come with AI, not only as a form of assistance to make human lives easier, but to make humans multiplanetary and solve some of the biggest issues that face us today. But even he is astounded by AI’s pace of progress.

He believes that in two years, AI will be so mind-blowing it might be unrecognizable.

This progress can be seen in a variety of ways, but perhaps the most popular way people have shown AI’s progress, especially on social media, is through an incredibly arbitrary way of watching Will Smith eat spaghetti:

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This is a great way to show people how AI is improving, especially from a perspective that examines how it can manufacture images and video from prompts. AI is an incredibly complex concept, however, and it goes much deeper than Will Smith eating Italian food.

Musk’s most widely adopted method of AI is likely Tesla Full Self-Driving, which impacts millions of people as they utilize it to increase safety with their travel. Musk has routinely pushed incredibly aggressive timelines for self-driving, especially unsupervised.

Perhaps this perspective is why he feels that things will be solved in a timeframe that is much more aggressive than most of us would think. Regardless, the progress of AI is moving fast, and it seems that Musk’s expectations for it could be high.

But if it can actually achieve full-length motion pictures and even more realistic production value, it will be hard to distinguish between reality and AI very soon.

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