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Tesla releases Conflict Mineral report, extending history of humane mining practices
Tesla has released its Conflict Mineral Report for the fiscal year ending on December 31, 2019. In the report, Tesla outlined its processes for securing minerals used in its products, ensuring they are obtained in humane ways that do not involve any child labor, human trafficking, or slavery. Many of the minerals are obtained through the efforts of Tesla’s suppliers. The minerals must be “DRC Conflict Free,” meaning that the materials do not benefit “armed groups in the Democratic Republic of the Congo, or any adjoining country.”
Tesla states that its conflict minerals are:
- Columbite-tantalite (Tantalum)
- Cassiterite (Tin)
- Gold
- Wolframite (Tungsten)
- and any derivatives of the above
The company states that any of its products, whether be its electric vehicles or its energy storage products, could contain some portion of these “conflict minerals.”
The materials are considered “conflict-free” as long as they do not benefit any of the armed groups in the DRC, and Tesla requires all of its suppliers to establish several processes to ensure the automaker humanely obtains them. The company writes:
“Tesla requires our suppliers to establish policies, due diligence frameworks, and management systems consistent with the OECD Due Diligence Guidance for Responsible Supply Chains of Minerals from Conflict-Affected and High-Risk Areas (“OECD Guidance”). Tesla expects its suppliers to stay up to date with and to use validated conflict-free smelters and refiners assessed by the Responsible Mineral Initiative (“RMI”) and similar organizations.”
(Credit: Tesla)
Furthermore, Tesla also has internal guidelines for itself that it commits to. These include:
- Continuously evaluating our supply chain to address any risks related to conflict minerals, human trafficking, slavery, and child labor;
- Reviewing suppliers’ practices to ensure their compliance with Tesla’s policy
- Requiring our Tier 1 suppliers to certify that their materials incorporated into Tesla products comply with the applicable laws related to conflict minerals, slavery, child labor, and human trafficking of the country or countries in which they are doing business;
- Disciplining contractors and appropriate parties who fail to meet the requirement of our Code and Policy, including potential termination of contract;
- Ensuring appropriate Tesla employees are aware of issues regarding conflict minerals, human trafficking, child labor and slavery, particularly with respect to mitigating risks within Tesla’s supply chain;
- Investigating if Tesla has a reasonable basis to believe that a supplier may be engaging in human trafficking, slave or child labor, or use of conflict minerals;
- Transitioning away from purchasing goods or services from any supplier that is believed to be engaging in human trafficking, slave or child labor, or use of conflict minerals if the supplier does not take corrective actions.
Tesla also has a four-step Due Diligence process to ensure that all minerals are obtained humanely.
- Establish Strong Company Management Systems
- Identify and Assess Risk in the Supply Chain
- Identify and Assess Risk in the Supply Chain
- Perform Independent Third-Party Audit of Supply Chain Due Diligence
Tesla states in its report that, “Due to its downstream position in our supply chain, any efforts to understand the origin of raw materials rely heavily on the cooperation of our Tier 1 and upstream suppliers. We have uncovered no evidence to date that our suppliers’ sourcing of 3TG materials has contributed to conflict or human rights violations.”
It does, however, list several areas as “covered countries” and states that “Tesla does not directly source from these countries and has no relationship with any companies or individuals located within their national boundaries.” The countries listed are considered “covered” as a part of the U.S. Conflict Minerals Disclosure Rules.
These countries include:
- Burundi
- The Democratic Republic of the Congo
- Rwanda
- Tanzania
- Uganda
- Zambia
Tesla’s primary goal is to accelerate the transition to sustainable energy. Although the country is focused on scalability and handling its increasing demand, it is unwilling to cut corners and intends to continue creating its vehicles in an environmentally friendly way throughout the entire supply chain.
The full report is available here.
Elon Musk
Tesla confirms that work on Dojo 3 has officially resumed
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo 3,” Elon Musk wrote in a post on X.
Tesla has restarted work on its Dojo 3 initiative, its in-house AI training supercomputer, now that its AI5 chip design has reached a stable stage.
Tesla CEO Elon Musk confirmed the update in a recent post on X.
Tesla’s Dojo 3 initiative restarted
In a post on X, Musk said that with the AI5 chip design now “in good shape,” Tesla will resume work on Dojo 3. He added that Tesla is hiring engineers interested in working on what he expects will become the highest-volume AI chips in the world.
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo3. If you’re interested in working on what will be the highest volume chips in the world, send a note to AI_Chips@Tesla.com with 3 bullet points on the toughest technical problems you’ve solved,” Musk wrote in his post on X.
Musk’s comment followed a series of recent posts outlining Tesla’s broader AI chip roadmap. In another update, he stated that Tesla’s AI4 chip alone would achieve self-driving safety levels well above human drivers, AI5 would make vehicles “almost perfect” while significantly enhancing Optimus, and AI6 would be focused on Optimus and data center applications.
Musk then highlighted that AI7/Dojo 3 will be designed to support space-based AI compute.
Tesla’s AI roadmap
Musk’s latest comments helped resolve some confusion that emerged last year about Project Dojo’s future. At the time, Musk stated on X that Tesla was stepping back from Dojo because it did not make sense to split resources across multiple AI chip architectures.
He suggested that clustering large numbers of Tesla AI5 and AI6 chips for training could effectively serve the same purpose as a dedicated Dojo successor. “In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude,” Musk wrote at the time.
Musk later reinforced that idea by responding positively to an X post stating that Tesla’s AI6 chip would effectively be the new Dojo. Considering his recent updates on X, however, it appears that Tesla will be using AI7, not AI6, as its dedicated Dojo successor. The CEO did state that Tesla’s AI7, AI8, and AI9 chips will be developed in short, nine-month cycles, so Dojo’s deployment might actually be sooner than expected.
Elon Musk
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Elon Musk shared his update in a recent post on social media platform X.
xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.
Elon Musk shared his update in a recent post on social media platform X.
Colossus 2 goes live
The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world.
But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.
Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.
Funding fuels rapid expansion
xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.
The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.
xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.
Elon Musk
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
The Tesla CEO shared his recent insights in a post on social media platform X.
Tesla’s next-generation AI5 chip is nearly complete, and work on its successor is already underway, as per a recent update from Elon Musk.
The Tesla CEO shared his recent insights in a post on social media platform X.
Musk details AI chip roadmap
In his post, Elon Musk stated that Tesla’s AI5 chip design is “almost done,” while AI6 has already entered early development. Musk added that Tesla plans to continue iterating rapidly, with AI7, AI8, AI9, and future generations targeting a nine-month design cycle.
He also noted that Tesla’s in-house chips could become the highest-volume AI processors in the world. Musk framed his update as a recruiting message, encouraging engineers to join Tesla’s AI and chip development teams.
Tesla community member Herbert Ong highlighted the strategic importance of the timeline, noting that faster chip cycles enable quicker learning, faster iteration, and a compounding advantage in AI and autonomy that becomes increasingly difficult for competitors to close.
AI5 manufacturing takes shape
Musk’s comments align with earlier reporting on AI5’s production plans. In December, it was reported that Samsung is preparing to manufacture Tesla’s AI5 chip, accelerating hiring for experienced engineers to support U.S. production and address complex foundry challenges.
Samsung is one of two suppliers selected for AI5, alongside TSMC. The companies are expected to produce different versions of the AI5 chip, with TSMC reportedly using a 3nm process and Samsung using a 2nm process.
Musk has previously stated that while different foundries translate chip designs into physical silicon in different ways, the goal is for both versions of the Tesla AI5 chip to operate identically. AI5 will succeed Tesla’s current AI4 hardware, formerly known as Hardware 4, and is expected to support the company’s Full Self-Driving system as well as other AI-driven efforts, including Optimus.