Chinese scientists unveil new process for faster 3D optical chip manufacturing 70%

By Bojan Stojkovski90%

7/19/2026, 12:58:50 PM

BS Summary: This article contains 23 faulty reasoning types, including Optimism Bias, Hasty Generalization, and Availability Heuristic, with Appeal to Authority as the most egregious example at 32.1% saturation with 166 hits. Analysis detected 1,074 faulty-reasoning hits from 517 analyzed words, generating a BS Score of 62.8% and a BS Rank of 70% (6,471 of 21,164 articles). This article is worse (more manipulative) than 69.40% of the article peer group.

The research was led by scientists from the Institute of Physics at the Chinese Academy of Sciences (CAS), together with collaborators from the University of Hong Kong and several other Chinese institutions. 
Led by PhD student Wang Yi, the team said the newly developed fabrication method provides a versatile platform for producing complex three-dimensional optical structures while reducing manufacturing bottlenecks. 
The researchers noted that the approach could help bridge the gap between highly customized photonic designs and large-scale production, potentially supporting the development of next-generation 3D integrated photonics for advanced computing , communications, and sensing applications. 
Replacing slow chip sculpting method with new technique 
The researchers moved away from traditional fabrication methods that rely on focused ion beam (FIB) techniques, which typically create optical structures one at a time. 
Instead, they introduced a parallel manufacturing approach capable of converting two-dimensional patterns into complex three-dimensional architectures across an entire 4 inch wafer in a single process. 
The team said this method could significantly improve production efficiency by allowing multiple structures to be fabricated simultaneously, addressing a key limitation in the development of advanced 3D optical chips , the South China Morning Post reported . 
Focused ion beams (FIBs) have traditionally been used for precise surface processing and material analysis, but the researchers say their new platform can overcome some of the limitations of this approach. 
According to the study authors, the technology achieves angular uniformity of more than 97 percent while cutting fabrication times by over two orders of magnitude compared with FIB-based manufacturing methods. 
The development arrives as countries and technology companies compete to advance photonic technologies that could support future AI computing systems, where faster and more efficient data processing solutions are becoming increasingly important. 
Companies race to advance next-gen optical chips 
The race to advance optical computing and high-speed data transmission has attracted major investments from both industry and research institutions worldwide. 
Companies such as Intel, TSMC, Ayar Labs, and Lightmatter are developing silicon photonics and optical interconnect technologies aimed at improving computing performance and efficiency. 
At the same time, research organisations including Belgium’s Imec and Japan’s NTT are working on next-gen photonic integration platforms. 
China has also increased its focus on the field, with institutions such as CAS and companies including Huawei expanding efforts to develop advanced photonic chip technologies. 
As AI models become larger and more complex, the demand for faster and more efficient computing hardware is increasing. 
Optical interconnects offer higher bandwidth and lower energy use than traditional electrical links. 
By moving optical structures into three dimensions, researchers can create denser chip designs, reduce signal interference, and enable functions that are difficult to achieve with two-dimensional architectures. 
Therefore, the researchers identified manufacturing as the key challenge and developed a parallel process to overcome it. 
Instead of shaping structures one at a time with focused ion beams, the method uses a broad ion beam to transform thousands of 2D nanostructures into 3D designs simultaneously. 
Combining ion beam etching with a self-folding “origami” approach, the technique enables wafer-scale production while maintaining nanoscale precision. 
Article reasoning-pattern comparisonThis article: 3.3%Bojan Stojkovski: 3.6%Interesting Engineering: 3.9%Confirmation Bias3.3%This article: 0.0%Bojan Stojkovski: 0.8%Interesting Engineering: 1.2%Anchoring Bias0.0%This article: 13.9%Bojan Stojkovski: 2.3%Interesting Engineering: 2.5%Availability Heuristic13.9%This article: 0.0%Bojan Stojkovski: 1.0%Interesting Engineering: 1.1%Representativeness Heuristic0.0%This article: 0.0%Bojan Stojkovski: 0.0%Interesting Engineering: 0.3%Hindsight Bias0.0%This article: 11.4%Bojan Stojkovski: 9.5%Interesting Engineering: 5.2%Overconfidence Bias11.4%This article: 2.9%Bojan Stojkovski: 6.9%Interesting Engineering: 6.4%Framing Effect2.9%This article: 0.0%Bojan Stojkovski: 0.0%Interesting Engineering: 0.2%Loss Aversion0.0%This article: 4.8%Bojan Stojkovski: 0.4%Interesting Engineering: 0.6%Status Quo Bias4.8%This article: 0.0%Bojan Stojkovski: 0.3%Interesting Engineering: 0.5%Sunk Cost Effect0.0%This article: 22.8%Bojan Stojkovski: 23.1%Interesting Engineering: 17.2%Optimism Bias22.8%This article: 0.0%Bojan Stojkovski: 0.5%Interesting Engineering: 0.5%Pessimism Bias0.0%This article: 0.0%Bojan Stojkovski: 0.0%Interesting Engineering: 0.9%Negativity Bias0.0%This article: 12.8%Bojan Stojkovski: 2.5%Interesting Engineering: 4.5%Self-Serving Bias12.8%This article: 0.0%Bojan Stojkovski: 0.0%Interesting Engineering: 0.1%Fundamental Attribution Error0.0%This article: 0.0%Bojan Stojkovski: 0.0%Interesting Engineering: 0.0%Actor-Observer Bias0.0%This article: 4.6%Bojan Stojkovski: 0.7%Interesting Engineering: 0.9%In-Group Bias4.6%This article: 0.0%Bojan Stojkovski: 0.0%Interesting Engineering: 0.1%Out-Group Homogeneity Bias0.0%This article: 0.0%Bojan Stojkovski: 8.9%Interesting Engineering: 5.2%Halo Effect0.0%This article: 0.0%Bojan Stojkovski: 0.0%Interesting Engineering: 0.0%Horn Effect0.0%This article: 0.0%Bojan Stojkovski: 0.0%Interesting Engineering: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Bojan Stojkovski: 0.0%Interesting Engineering: 1.1%Recency Bias0.0%This article: 5.0%Bojan Stojkovski: 0.4%Interesting Engineering: 0.2%Primacy Effect5.0%This article: 0.0%Bojan Stojkovski: 0.0%Interesting Engineering: 0.0%Blind-Spot Bias0.0%This article: 0.0%Bojan Stojkovski: 0.0%Interesting Engineering: 0.0%Ad Hominem0.0%This article: 0.0%Bojan Stojkovski: 0.0%Interesting Engineering: 0.0%Straw Man0.0%This article: 32.1%Bojan Stojkovski: 13.9%Interesting Engineering: 8.9%Appeal to Authority32.1%This article: 1.5%Bojan Stojkovski: 1.2%Interesting Engineering: 1.5%False Dilemma1.5%This article: 0.0%Bojan Stojkovski: 0.0%Interesting Engineering: 0.3%Slippery Slope0.0%This article: 3.3%Bojan Stojkovski: 0.6%Interesting Engineering: 0.1%Circular Reasoning3.3%This article: 20.5%Bojan Stojkovski: 4.7%Interesting Engineering: 5.1%Hasty Generalization20.5%This article: 7.4%Bojan Stojkovski: 0.6%Interesting Engineering: 0.1%Red Herring7.4%This article: 7.5%Bojan Stojkovski: 1.6%Interesting Engineering: 0.8%Bandwagon7.5%This article: 0.0%Bojan Stojkovski: 0.7%Interesting Engineering: 2.3%Appeal to Emotion0.0%This article: 7.0%Bojan Stojkovski: 2.1%Interesting Engineering: 1.2%Begging the Question7.0%This article: 9.5%Bojan Stojkovski: 2.1%Interesting Engineering: 2.2%Post Hoc (False Cause)9.5%This article: 0.0%Bojan Stojkovski: 0.0%Interesting Engineering: 0.0%Tu Quoque0.0%This article: 0.0%Bojan Stojkovski: 0.0%Interesting Engineering: 0.6%Burden of Proof0.0%This article: 0.0%Bojan Stojkovski: 0.0%Interesting Engineering: 0.2%Appeal to Nature0.0%This article: 0.0%Bojan Stojkovski: 0.7%Interesting Engineering: 0.3%Composition/Division0.0%This article: 0.0%Bojan Stojkovski: 0.0%Interesting Engineering: 0.7%Anecdotal0.0%This article: 0.0%Bojan Stojkovski: 0.0%Interesting Engineering: 0.1%No True Scotsman0.0%This article: 6.2%Bojan Stojkovski: 2.3%Interesting Engineering: 2.6%Ambiguity (Equivocation)6.2%This article: 0.0%Bojan Stojkovski: 0.0%Interesting Engineering: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Bojan Stojkovski: 0.0%Interesting Engineering: 0.0%Middle Ground0.0%This article: 0.0%Bojan Stojkovski: 0.0%Interesting Engineering: 0.0%Personal Incredulity0.0%This article: 3.5%Bojan Stojkovski: 0.3%Interesting Engineering: 0.1%Special Pleading3.5%This article: 0.0%Bojan Stojkovski: 0.0%Interesting Engineering: 0.0%Genetic Fallacy0.0%This article: 7.4%Bojan Stojkovski: 1.9%Interesting Engineering: 1.8%Unattributed Quote7.4%This article: 0.0%Bojan Stojkovski: 0.0%Interesting Engineering: 0.7%Quote-first Misdirection0.0%This article: 8.3%Bojan Stojkovski: 3.8%Interesting Engineering: 3.9%Biased Writer Voice8.3%This article: 7.0%Bojan Stojkovski: 1.2%Interesting Engineering: 0.7%Indoctrination7.0%This article: 0.0%Bojan Stojkovski: 0.0%Interesting Engineering: 0.0%Politically Left Leaning Bias0.0%This article: 0.0%Bojan Stojkovski: 0.4%Interesting Engineering: 0.1%Politically Right Leaning Bias0.0%This article: 5.0%Bojan Stojkovski: 18.7%Interesting Engineering: 10.7%Attempt to Sell a Product or S…5.0%

517 words analyzed.

Speakers

2speakers13%attributed speech451writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 11 words • 0.0% coverageWriter's voice • 32 words • 0.0% coverageWang Yi • 28 words • 100.0% coverageWriter's voice • 36 words • 100.0% coverageWriter's voice • 8 words • 100.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 26 words • 100.0% coverageSouth China Morning Post • 38 words • 100.0% coverageWriter's voice • 31 words • 0.0% coverageWriter's voice • 30 words • 0.0% coverageWriter's voice • 32 words • 0.0% coverageWriter's voice • 7 words • 100.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 24 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 26 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 13 words • 0.0% coverageWriter's voice • 27 words • 0.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 29 words • 0.0% coverageWriter's voice • 18 words • 0.0% coverage
100%flagged-word coverage
38 attributed words58% of attributed speech100% writer coverage
0%50.0%100.0%Unattributed Quote+100.0 ptsWriter: 0.0%South China Morning Post: 100.0%100.0%Indoctrination-8.0 ptsWriter: 8.0%South China Morning Post: 0.0%0.0%Attempt to Sell a Product -5.8 ptsWriter: 5.8%South China Morning Post: 0.0%0.0%Biased Writer Voice-3.3 ptsWriter: 3.3%South China Morning Post: 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.