The Verge44%

Apple’s self-driving car program left a legacy of powerful AI chips 21%

By Terrence O'Brien69%

7/12/2026, 4:27:06 PM

BS Summary: This article contains 15 faulty reasoning types, including Appeal to Authority, Hindsight Bias, and Attempt to Sell a Product or Service, with Post Hoc (False Cause) as the most egregious example at 13.4% saturation with 62 hits. Analysis detected 370 faulty-reasoning hits from 462 analyzed words, generating a BS Score of 35.6% and a BS Rank of 21% (11,755 of 14,814 articles). This article is better (less manipulative) than 79.30% of the article peer group.

Apple’s failed self-driving car program left a legacy of powerful AI chips 
The company is accelerating development of the M7 Ultra, which could support up to 1.5TB of RAM. 
Jul 12, 2026, 4:27 PM UTC 
Terrence O'Brien is the Verge’s weekend editor. 
He’s covered the tech industry for over 18 years and knows a thing or two about synths. 
Apple’s self-driving car program never really got off the ground , but it may have been what made the company’s chips the powerful AI performers they are. 
Early in the development of the self-driving platform, Apple realized that it would need powerful on-device AI processing . 
While the car processor was never finished , as Mark Gurman details in his latest Power On newsletter, it did lead to the development of the Neural Engine, the backbone of Apple’s on-device AI processing. 
The Neural Engine made its debut with the iPhone X and the A11 Bionic . 
In those early days, it was primarily used for computer vision, powering FaceID, Animoji, and augmented reality features. 
But by laying the groundwork for on-device AI processing, Apple established itself as an early leader by bringing the Neural Engine to desktops with the M-series chips . 
While Apple’s AI software efforts have lagged behind the rest of the industry, its hardware has been impressive. 
It’s also what has allowed Apple to tout its privacy features, since less data is sent to the cloud. 
Apple is making its AI hardware a cornerstone of its strategy going forward. 
According to Gurman, the company is skipping the Pro, Max, and Ultra versions of its upcoming M6 chip. 
Instead, it’s accelerating development of the M7, which should arrive in the first half of 2027 with significant Neural Engine upgrades. 
The M7 Ultra is expected to be the basis for a new server product from Apple as well, with support for up to 1.5TB of RAM. 
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Confirmation Bias
0%
Anchoring Bias
0%
Availability Heuristic
0%
Representativeness Heuristic
0%
Hindsight Bias
10.8%
Overconfidence Bias
1.7%
Framing Effect
5.8%
Loss Aversion
0%
Status Quo Bias
0%
Sunk Cost Effect
0%
Optimism Bias
7.4%
Pessimism Bias
0%
Negativity Bias
1.9%
Self-Serving Bias
0%
Fundamental Attribution Error
0%
Actor-Observer Bias
0%
In-Group Bias
0%
Out-Group Homogeneity Bias
0%
Halo Effect
7.8%
Horn Effect
0%
Dunning-Kruger Effect
0%
Recency Bias
2.4%
Primacy Effect
0%
Blind-Spot Bias
0%
Ad Hominem
0.9%
Straw Man
0%
Appeal to Authority
11.3%
False Dilemma
0%
Slippery Slope
0%
Circular Reasoning
0%
Hasty Generalization
2.2%
Red Herring
0%
Bandwagon
1.9%
Appeal to Emotion
1.1%
Begging the Question
0%
Post Hoc (False Cause)
13.4%
Tu Quoque
0%
Burden of Proof
0%
Appeal to Nature
0%
Composition/Division
0%
Anecdotal
0%
No True Scotsman
0%
Ambiguity (Equivocation)
0%
Gambler’s Fallacy
0%
Middle Ground
0%
Personal Incredulity
0%
Special Pleading
0%
Genetic Fallacy
0%
Unattributed Quote
0%
Quote-first Misdirection
1.1%
Biased Writer Voice
0%
Indoctrination
0%
Politically Left Leaning Bias
0%
Politically Right Leaning Bias
0%
Attempt to Sell a Product or Service
10.4%

462 words analyzed.

Speakers

No attributed speakers were identified in this analysis.

Analysis

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