Tesla's AI5 with 2nm-class node tapes out at Samsung Foundry — production starts soon, months after TSMC tape out ⁠24%

By Anton Shilov⁠53%

7/13/2026, 5:59:55 PM

BS Summary: This article contains 20 faulty reasoning types, including Appeal to Authority, Optimism Bias, and Anecdotal, with Ambiguity (Equivocation) as the most egregious example at 46.6% saturation with 180 hits. Analysis detected 1,070 faulty-reasoning hits from 386 analyzed words, generating a BS Score of 36.7% and a BS Rank of ⁠24% (16,180 of 21,170 articles). This article is better (less manipulative) than 76.40% of the article peer group.

Tesla's AI5 chip is about to enter mass production at Samsung Foundry using the company's 2nm-class process technology, a principal engineer at Samsung Foundry disclosed in a LinkedIn post , as noticed by Sawyer Merritt . 
As it turns out, the chip has been taped out recently. 
The Tesla-Samsung Al5 chip has reached tape-out," James Kim, a principal engineer at Samsung Foundry, wrote in the LinkedIn post. 
"It is scheduled to be manufactured at the Taylor fab using our latest 2nm process and will soon be integrated into Tesla's newest products. 
It has been an honor to collaborate with the outstanding engineers at Tesla Palo Alto and Austin over the past several months." 
Elon Musk demonstrated the first sample of Tesla's AI5 in mid-April and revealed that the processor will be concurrently made both at TSMC and Samsung Foundry. 
Apparently, AI5 implemented in a TSMC process technology reached taped out several months ahead of AI5 implemented using a Samsung Foundry. 
Tesla’s AI5 processor module that Elon Musk demonstrated in April integrates a relatively compact accelerator die — roughly half a reticle in size, based on Musk's earlier remarks — alongside 12 SK hynix memory packages that appear to be standard GDDR6 or GDDR7 devices. 
The package relies on an organic substrate, and the memory components are labeled similarly to conventional discrete DRAM chips. 
Tesla has not revealed the width of AI5's memory subsystem, but the presence of 12 memory packages points to a relatively broad external memory interface. 
Assuming the module indeed uses 12 GDDR6 or GDDR7 ICs, the processor would feature a 384-bit memory bus. 
Depending on the memory technology and transfer rates employed, this would translate into memory bandwidth ranging from 768 GB/s all the way to 1.536 TB/s. 
The company has not disclosed AI5's peak compute performance, or other detailed performance specifications, but Musk has previously claimed that, in certain workloads, AI5 can deliver performance improvements of up to 40X compared to its predecessor. 
Musk expects AI5 to be one of the most produced chip ever, which is why Tesla plans to use two foundries to make it. 
AI5 is projected to be used in Tesla cars, Tesla robots, and in Tesla's data centers. 
Article reasoning-pattern comparisonThis article: 16.8%Anton Shilov: 5.9%Tom's Hardware: 3.7%Confirmation Bias16.8%This article: 11.4%Anton Shilov: 2.0%Tom's Hardware: 2.2%Anchoring Bias11.4%This article: 5.4%Anton Shilov: 2.1%Tom's Hardware: 3.3%Availability Heuristic5.4%This article: 16.3%Anton Shilov: 1.5%Tom's Hardware: 1.1%Representativeness Heuristic16.3%This article: 2.8%Anton Shilov: 1.2%Tom's Hardware: 0.5%Hindsight Bias2.8%This article: 19.2%Anton Shilov: 4.5%Tom's Hardware: 3.5%Overconfidence Bias19.2%This article: 4.9%Anton Shilov: 7.7%Tom's Hardware: 9.5%Framing Effect4.9%This article: 0.0%Anton Shilov: 0.6%Tom's Hardware: 1.0%Loss Aversion0.0%This article: 0.0%Anton Shilov: 0.8%Tom's Hardware: 0.7%Status Quo Bias0.0%This article: 0.0%Anton Shilov: 0.2%Tom's Hardware: 0.3%Sunk Cost Effect0.0%This article: 23.3%Anton Shilov: 10.3%Tom's Hardware: 6.0%Optimism Bias23.3%This article: 0.0%Anton Shilov: 4.5%Tom's Hardware: 1.7%Pessimism Bias0.0%This article: 0.0%Anton Shilov: 7.9%Tom's Hardware: 6.3%Negativity Bias0.0%This article: 0.0%Anton Shilov: 1.5%Tom's Hardware: 1.3%Self-Serving Bias0.0%This article: 0.0%Anton Shilov: 1.0%Tom's Hardware: 0.6%Fundamental Attribution Error0.0%This article: 0.0%Anton Shilov: 0.0%Tom's Hardware: 0.2%Actor-Observer Bias0.0%This article: 0.0%Anton Shilov: 0.2%Tom's Hardware: 0.5%In-Group Bias0.0%This article: 0.0%Anton Shilov: 0.8%Tom's Hardware: 0.2%Out-Group Homogeneity Bias0.0%This article: 5.7%Anton Shilov: 1.7%Tom's Hardware: 2.9%Halo Effect5.7%This article: 0.0%Anton Shilov: 0.1%Tom's Hardware: 0.0%Horn Effect0.0%This article: 0.0%Anton Shilov: 0.0%Tom's Hardware: 0.0%Dunning-Kruger Effect0.0%This article: 4.9%Anton Shilov: 1.9%Tom's Hardware: 1.9%Recency Bias4.9%This article: 0.0%Anton Shilov: 0.2%Tom's Hardware: 0.6%Primacy Effect0.0%This article: 0.0%Anton Shilov: 0.3%Tom's Hardware: 0.1%Blind-Spot Bias0.0%This article: 0.0%Anton Shilov: 0.0%Tom's Hardware: 0.2%Ad Hominem0.0%This article: 0.0%Anton Shilov: 0.0%Tom's Hardware: 0.1%Straw Man0.0%This article: 25.4%Anton Shilov: 6.3%Tom's Hardware: 5.1%Appeal to Authority25.4%This article: 6.2%Anton Shilov: 2.7%Tom's Hardware: 2.0%False Dilemma6.2%This article: 0.0%Anton Shilov: 2.8%Tom's Hardware: 0.8%Slippery Slope0.0%This article: 0.0%Anton Shilov: 0.0%Tom's Hardware: 0.1%Circular Reasoning0.0%This article: 15.5%Anton Shilov: 7.1%Tom's Hardware: 5.7%Hasty Generalization15.5%This article: 0.0%Anton Shilov: 0.3%Tom's Hardware: 0.2%Red Herring0.0%This article: 0.0%Anton Shilov: 0.6%Tom's Hardware: 1.0%Bandwagon0.0%This article: 5.7%Anton Shilov: 2.3%Tom's Hardware: 3.0%Appeal to Emotion5.7%This article: 0.0%Anton Shilov: 0.7%Tom's Hardware: 0.8%Begging the Question0.0%This article: 16.6%Anton Shilov: 5.9%Tom's Hardware: 3.4%Post Hoc (False Cause)16.6%This article: 0.0%Anton Shilov: 0.0%Tom's Hardware: 0.1%Tu Quoque0.0%This article: 10.9%Anton Shilov: 1.6%Tom's Hardware: 0.7%Burden of Proof10.9%This article: 0.0%Anton Shilov: 0.6%Tom's Hardware: 0.3%Appeal to Nature0.0%This article: 0.0%Anton Shilov: 0.6%Tom's Hardware: 0.5%Composition/Division0.0%This article: 20.7%Anton Shilov: 1.2%Tom's Hardware: 1.7%Anecdotal20.7%This article: 0.0%Anton Shilov: 0.0%Tom's Hardware: 0.0%No True Scotsman0.0%This article: 46.6%Anton Shilov: 6.5%Tom's Hardware: 3.4%Ambiguity (Equivocation)46.6%This article: 0.0%Anton Shilov: 0.0%Tom's Hardware: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Anton Shilov: 0.0%Tom's Hardware: 0.2%Middle Ground0.0%This article: 0.0%Anton Shilov: 0.0%Tom's Hardware: 0.0%Personal Incredulity0.0%This article: 0.0%Anton Shilov: 0.1%Tom's Hardware: 0.2%Special Pleading0.0%This article: 0.0%Anton Shilov: 0.0%Tom's Hardware: 0.1%Genetic Fallacy0.0%This article: 9.3%Anton Shilov: 2.3%Tom's Hardware: 2.1%Unattributed Quote9.3%This article: 9.3%Anton Shilov: 1.8%Tom's Hardware: 0.9%Quote-first Misdirection9.3%This article: 0.0%Anton Shilov: 4.8%Tom's Hardware: 7.1%Biased Writer Voice0.0%This article: 0.0%Anton Shilov: 0.3%Tom's Hardware: 1.3%Indoctrination0.0%This article: 0.0%Anton Shilov: 0.0%Tom's Hardware: 0.1%Politically Left Leaning Bias0.0%This article: 0.0%Anton Shilov: 0.0%Tom's Hardware: 0.0%Politically Right Leaning Bias0.0%This article: 0.0%Anton Shilov: 1.2%Tom's Hardware: 3.4%Attempt to Sell a Product or S…0.0%

386 words analyzed.

Speakers

2speakers30%attributed speech270writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 19 words • 0.0% coverageWriter's voice • 36 words • 100.0% coverageWriter's voice • 11 words • 0.0% coverageJames Kim • 20 words • 0.0% coverageJames Kim • 24 words • 0.0% coverageJames Kim • 22 words • 0.0% coverageElon Musk • 26 words • 0.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 44 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 36 words • 100.0% coverageElon Musk • 24 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverage
Selected voice

Elon Musk

100%flagged-word coverage
50 attributed words43% of attributed speech100% writer coverage
0%7.5%15.0%Unattributed Quote-13.3 ptsWriter: 13.3%Elon Musk: 0.0%0.0%Quote-first Misdirection-13.3 ptsWriter: 13.3%Elon Musk: 0.0%0.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.