An Ex-Translator Blog

[joshuawister]

QAOA (Quantum Approximate Optimization Algorithm) on PixAI Stable Diffusion prompt

image: PixAI generated (sample) https://pixai.art/artwork/2022351811178270069?utm_source=copy_android

Use QAOA -Quantum Approximate Optimazation Algorithm to optimize the prompt given for Stable Diffusion-based generator on PixAI, for the AI artists.

Result:

🎯 Optimization targets (6 Qubits): ['officer', 'blue eyes', 'shirt', 'epaulettes', 'military', 'lady']

Loading semantic model...Loading weights: 100% 103/103 [00:00<00:00, 3446.13it/s]

⚙️ QUBO configured for exactly 5 words (Penalty P=50.0)

🔄 Running QAOA (Depth=3, 5 restarts)... Please wait. ➔ Restart 1: Energy -1092.55 (New Best) ➔ Restart 2: Energy -1206.45 (New Best)

✅ Optimization complete.

============================================================

🚀 QAOA Results (LLM + Quantum Fusion)

============================================================

Best bit string : 011111

Overall probability : 10.40%

Probability AMONG VALID: 26.74%

Words selected : 5 / 5

✅ Constraint SATISFIED!

📝 Optimized Prompt: blue eyes, shirt, epaulettes, military, lady

========================================================================================================================

🔍 LLM 语义契合度矩阵 (Cosine Similarity * 10)============================================================

officer blue eyes shirt epaulettes military lady officer 10.00 2.63 3.26 2.39 6.03 4.03 blue eyes 10.00 2.48 1.86 2.62 2.71 shirt 10.00 2.44 3.63 3.33 epaulettes 10.00 1.21 2.79 military 10.00 2.72 lady 10.00 ============================================================

[joshuawister]

Modified the Quantum optimization code with the user-defined weight as a list (favorable = -n, unfavorable = +n)

Sample: https://pixai.art/artwork/2026474065196894875?utm_source=copy_android

The optimized prompt: officer, shirt, military, blonde hair, uniform, school

P = 50 # P: Penalty function

h = np.array([ -50.0, # officer → 想要 → 负数

30.0, # blue eyes → 不想要 → 正数

-10.0, # shirt → 弱想要

-60.0, # epaulettes → 非常想要

-80.0, # military → 最想要

50.0, # lady → 不想要

-50.0, # blonde hair

-80.0, # green eyes

30.0, # brown hair → 不想要

-30.0, # uniform

20.0, # school → 不想要

-80.0, # jacket])

h *= 10.0J = np.zeros((num_qubits, num_qubits))

for i in range(num_qubits):

for j in range(i + 1, num_qubits):

affinity = cosine_scores[i, j] * 10.0

J[i, j] = -affinity + 2 * P

h = np.array([P * (1 - 2 * K)] * num_qubits) + h

[joshuawister]

LLM use for QAOA (Quantum Approximate Optimazation Algorithm) on PixAI Stable Diffusion prompt

image: PixAI generated (sample) https://pixai.art/artwork/2022695968130728588?utm_source=copy_android

Use QAOA -Quantum Approximate Optimazation Algorithm to optimize the prompt given for Stable Diffusion-based generator on PixAI, for the AI artists.

🎯Optimization targets (12 Qubits): ['officer', 'blue eyes', 'shirt', 'epaulettes', 'military', 'lady', 'blonde hair', 'green eyes', 'brown hair', 'uniform', 'school', 'jacket']

Loading semantic model...

<LLM Model Used>

Here, we use Hugging Face small LLM, the purpose to check and choose the word sets to Quatum device simulator as below;

modules.json: 100% 349/349 [00:00<00:00, 26.3kB/s]

config_sentence_transformers.json: 100% 116/116 [00:00<00:00, 6.36kB/s]

README.md: 100% 10.5k/10.5k [00:00<00:00, 1.16MB/s]

sentence_bert_config.json: 100% 53.0/53.0 [00:00<00:00, 5.68kB/s]

config.json: 100% 612/612 [00:00<00:00, 63.9kB/s]

model.safetensors: 100% 90.9M/90.9M [00:01<00:00, 68.2MB/s]

Loading weights: 100% 103/103 [00:00<00:00, 2912.08it/s]

tokenizer_config.json: 100% 350/350 [00:00<00:00, 40.0kB/s]

vocab.txt: 100% 232k/232k [00:00<00:00, 16.0MB/s]

tokenizer.json: 100% 466k/466k [00:00<00:00, 24.9MB/s]

special_tokens_map.json: 100% 112/112 [00:00<00:00, 13.3kB/s]

config.json: 100% 190/190 [00:00<00:00, 20.3kB/s]

<Result>

Loading weights: 100% 103/103 [00:00<00:00, 3043.12it/s]⚙️ QUBO configured for exactly 6 words (Penalty P=300.0)

🔄 Running QAOA (Depth=3, 5 restarts)... Please wait.

  ➔ Restart 1: Energy -10004.89 (New Best)

  ➔ Restart 2: Energy -10026.37 (New Best)

  ➔ Restart 3: Energy -10051.08 (New Best)

  ➔ Restart 5: Energy -10053.38 (New Best)

✅ Optimization complete.

============================================================

🚀 QAOA Results (LLM + Quantum Fusion)

============================================================

Best bit string : 001101010101

Overall probability : 0.25%

Probability AMONG VALID: 1.05%

Words selected : 6 / 6

✅ Constraint SATISFIED!

📝 Optimized Prompt: shirt, epaulettes, lady, green eyes, uniform, jacket

the Prompt input on PixAI and generated as the image above this post.

============================================================

[joshuawister]

LLM use for QAOA (Quantum Approximate Optimization Algorithm) on PixAI Stable Diffusion prompt

image: PixAI generated (sample) https://pixai.art/artwork/2022695968130728588?utm_source=copy_android

Use QAOA -Quantum Approximate Optimazation Algorithm to optimize the prompt given for Stable Diffusion-based generator on PixAI, for the AI artists.

🎯Optimization targets (12 Qubits): ['officer', 'blue eyes', 'shirt', 'epaulettes', 'military', 'lady', 'blonde hair', 'green eyes', 'brown hair', 'uniform', 'school', 'jacket']

Loading semantic model...

<LLM Model Used>

Here, we use Hugging Face small LLM, the purpose to check and choose the word sets to Quantum device simulator as below;

modules.json: 100% 349/349 [00:00<00:00, 26.3kB/s]

config_sentence_transformers.json: 100% 116/116 [00:00<00:00, 6.36kB/s]

README.md: 100% 10.5k/10.5k [00:00<00:00, 1.16MB/s]

sentence_bert_config.json: 100% 53.0/53.0 [00:00<00:00, 5.68kB/s]

config.json: 100% 612/612 [00:00<00:00, 63.9kB/s]

model.safetensors: 100% 90.9M/90.9M [00:01<00:00, 68.2MB/s]

Loading weights: 100% 103/103 [00:00<00:00, 2912.08it/s]

tokenizer_config.json: 100% 350/350 [00:00<00:00, 40.0kB/s]

vocab.txt: 100% 232k/232k [00:00<00:00, 16.0MB/s]

tokenizer.json: 100% 466k/466k [00:00<00:00, 24.9MB/s]

special_tokens_map.json: 100% 112/112 [00:00<00:00, 13.3kB/s]

config.json: 100% 190/190 [00:00<00:00, 20.3kB/s]

<Result>

Loading weights: 100% 103/103 [00:00<00:00, 3043.12it/s]

⚙️ QUBO configured for exactly 6 words (Penalty P=300.0)

🔄 Running QAOA (Depth=3, 5 restarts)... Please wait.

  ➔ Restart 1: Energy -10004.89 (New Best)

  ➔ Restart 2: Energy -10026.37 (New Best)

  ➔ Restart 3: Energy -10051.08 (New Best)

  ➔ Restart 5: Energy -10053.38 (New Best)

✅ Optimization complete.

============================================================

🚀 QAOA Results (LLM + Quantum Fusion)

============================================================

Best bit string : 001101010101

Overall probability : 0.25%

Probability AMONG VALID: 1.05%

Words selected : 6 / 6

✅ Constraint SATISFIED!

📝 Optimized Prompt: shirt, epaulettes, lady, green eyes, uniform, jacket

the Prompt input on PixAI and generated as the image above this post.

============================================================

[joshuawister]

QAOA (Quantum Approximate Optimization Algorithm) on PixAI Stable Diffusion prompt

image: PixAI generated (sample) https://pixai.art/artwork/2022351811178270069?utm_source=copy_android

Use QAOA -Quantum Approximate Optimazation Algorithm to optimize the prompt given for Stable Diffusion-based generator on PixAI, for the AI artists.

Result:

🎯 Optimization targets (6 Qubits): ['officer', 'blue eyes', 'shirt', 'epaulettes', 'military', 'lady']

Loading semantic model...Loading weights: 100% 103/103 [00:00<00:00, 3446.13it/s]

⚙️ QUBO configured for exactly 5 words (Penalty P=50.0)

🔄 Running QAOA (Depth=3, 5 restarts)... Please wait. ➔ Restart 1: Energy -1092.55 (New Best) ➔ Restart 2: Energy -1206.45 (New Best)

✅ Optimization complete.

============================================================

🚀 QAOA Results (LLM + Quantum Fusion)

============================================================

Best bit string : 011111

Overall probability : 10.40%

Probability AMONG VALID: 26.74%

Words selected : 5 / 5

✅ Constraint SATISFIED!

📝 Optimized Prompt: blue eyes, shirt, epaulettes, military, lady

========================================================================================================================

🔍 LLM 语义契合度矩阵 (Cosine Similarity * 10)============================================================

officer blue eyes shirt epaulettes military lady officer 10.00 2.63 3.26 2.39 6.03 4.03 blue eyes 10.00 2.48 1.86 2.62 2.71 shirt 10.00 2.44 3.63 3.33 epaulettes 10.00 1.21 2.79 military 10.00 2.72 lady 10.00 ============================================================

[joshuawister]

The Civil War: 第三次中日战争-日本内战

Japan Civil War 2026 (Part of the Third Sino-Japanese War)

🇨🇳🇯🇵

After the electromagnetic pulse (EMP) disaster, Japan is partly liberated by PLA. The Chinese influence triggered the independence of Nagoya City and formed as Fudao SAR of China.

Akitsu resistance in Japanese Alps.

[joshuawister]

Long Live New Cultural Revolution!

We, new people of Nagoya, bravery march forward with cutting through thorns to go down with Japanese Imperialism. Long Live New Cultural Revolution!

我们新名古屋人民，披荆斩棘勇敢前进

打倒日本帝国主义，新文化大革命万岁

Tips: Nagoya is related to Yang Guifei, the beloved consort of Tang Emperor, and Xu Fu, the discoverer of Qin Dynasty each visited Central Japan where Nagoya is located.

[joshuawister]

Chinese is the national origin of Japan

English editorial from the Chiyoda Newspaper - November 30, 2025 by Liu Mei

On this day, Tokyo underwent a Cataclysmic Bombardment against imperialists in 1944. What's the imperialist origin mentioned here? It's not just eager to expand the territory by invasion and gain colonies for Japan, however the origin is from its complex origin of nation.

We prove that the history of Japan is full of lies and originally founded by a community of Chinese immigrants. Xu Fu (徐福), a Chinese alchemist, visited Japan accompanied by a community of 3,000 Qin Chinese citizens about 2,200 years ago.

It's said to set sail from Qinhuangdao, Hebei. They, led by Xu Fu, are the “pilgrim” for Japan or the settlers for sinization there.

At that time Japan still seemed an uncivilised nation in the East, according to Chinese annals during the era of Han and Wei dynasty. However after Xu Fu visits there (reportedly twice mentioned each in 219 BC and 220 BC by the “Historical Records” 史记), local nobles started using Chinese characters and metal swords for ceremonies.

In a millennium from this legendary visit, Japanese people inscribed the Chinese characters of King Wakatakeru (獲加多支鹵) on a metal sword, now is excavated from the royal tomb.

Thus, what we believe truly is of Japanese origin might be the evidence of sinization. In this millennium (Xu Fu 219 BC - Wakatakeru 471 AD/531 AD), we had no historical documents written in any letter by Japanese. This is what Japanese nationalist believe about the purity in origins of Japanese people.

Yes, immigrants nowadays are a problem of the modern nation. However the genetics of Japanese people show interesting evidence.

A Japanese scholar Miyawaki mentioned that a community of immigrants took a few percent of the population 2,000 years ago and people migrated to Japan from China by sea route in the initial stage - just as mentioned in Chinese annals.

If Xu Fu’s visit as mentioned in the “Historical Records” (史记) is true, Chinese is a part of Japan’s origin, especially the national origin.

— The Chiyoda Newspaper, Nov 30

The author: Liu Mei

M.A., Jingshi University of China. Assistant editor in Tokyo Branch

(this is a part of novel "Tokyo Spy Mission 2025"

https://www.tumblr.com/joshuawister/800468536355061760/%E4%B8%9C%E4%BA%AC%E9%97%B4%E8%B0%8D%E8%A1%8C%E5%8A%A82025-%E5%BA%8F%E7%AB%A0-tokyo-spy-mission-2025?source=share)

[joshuawister]

Tokyo Spy Mission 2026 Theme Music "Bye-bye, Tokyo"

Original novel "Tokyo Spy Mission 2026" post - https://www.tumblr.com/joshuawister/815643543493312512/tokyo-spy-mission-2026-plot-and-prologue?source=share

东京告别吧！（《东京间谍行动2026》主题曲）

高举红黑横纹旗，东京正在崩坏了

Tokyo Spy Mission 2026

Main Theme "Bye-bye, Tokyo!"

Raise the Red-and-Black flag, Tokyo now collapses

[joshuawister]

Tokyo Spy Mission 2026 (Plot and Prologue)

The Chinese novel (link on Tumblr post): https://www.tumblr.com/joshuawister/800468536355061760/%E4%B8%9C%E4%BA%AC%E9%97%B4%E8%B0%8D%E8%A1%8C%E5%8A%A82025-%E5%BA%8F%E7%AB%A0-tokyo-spy-mission-2025?source=share

In November 2025, a nuclear electromagnetic pulse exploded above the Earth's surface, in the East China Sea.

Liu Mei (刘梅), a Chinese Student of Jinshi University (京师大学), witnessed a network outage in Beijing, amidst the crisis of Third Sino-Japanese War.

Once upon a time, the Cold War ended but the Section 6 still remains its influence on Hong Kong where Liu Mei is grown up and later moved to Shenzhen and Beijing, as her parents wished to "go far," but herself is a daughter of spies serving China, and Soviet Union in the past.

These days, the World sees a new Industrial Revolution of Nuclear Fusion and Quantum Computers as well as AI implementation. Liu Mei also noted those news as "a student writer" during her campus life of foreign study in Tokyo, Japan.

Through the disaster of War, Liu Mei feels Spy Mission of her family is to save people by the use of high technology. She decided to gather "comrades" to build a Post-War Utopia in her Motherland, as said Teacher Mao:

“勤恳建设锦绣河山， 誓把祖国变成天堂”

(Industriously building a magnificent land, swearing to turn our motherland into a paradise.)

[joshuawister]

Tokyo Spy Mission 2026 Theme Music "Bye-bye, Tokyo"

Original novel "Tokyo Spy Mission 2026" post - https://www.tumblr.com/joshuawister/815643543493312512/tokyo-spy-mission-2026-plot-and-prologue?source=share

东京告别吧！（《东京间谍行动2026》主题曲）

高举红黑横纹旗，东京正在崩坏了

Tokyo Spy Mission 2026

Main Theme "Bye-bye, Tokyo!"

Raise the Red-and-Black flag, Tokyo now collapses

[joshuawister]

Tokyo Spy Mission 2026 (Plot and Prologue)

The Chinese novel (link on Tumblr post): https://www.tumblr.com/joshuawister/800468536355061760/%E4%B8%9C%E4%BA%AC%E9%97%B4%E8%B0%8D%E8%A1%8C%E5%8A%A82025-%E5%BA%8F%E7%AB%A0-tokyo-spy-mission-2025?source=share

In November 2025, a nuclear electromagnetic pulse exploded above the Earth's surface. Liu Mei (刘梅), a Chinese Student of Jinshi University (京师大学), witnessed a network outage in Beijing, amidst the crisis of Third Sino-Japanese War.

Once upon a time, the Cold War ended but the Section 6 still remains its influence on Hong Kong where Liu Mei is grown up and later moved to Shenzhen and Beijing, as her parents wished to "go far," but herself is a daughter of spies serving China, and Soviet Union in the past.

These days, the World sees a new Industrial Revolution of Nuclear Fusion and Quantum Computers as well as AI implementation. Liu Mei also noted those news as "a student writer" during her campus life of foreign study in Tokyo, Japan.

Through the disaster of War, Liu Mei feels Spy Mission of her family is to save people by the use of high technology.

She decided to gather "comrades" to build a Post-War Utopia in her Motherland, as said Teacher Mao:

“勤恳建设锦绣河山， 誓把祖国变成天堂”

(Industriously building a magnificent land, swearing to turn our motherland into a paradise.)

[joshuawister]

Tokyo Spy Mission 2026 (Plot and Prologue)

The Chinese novel (link on Tumblr post): https://www.tumblr.com/joshuawister/800468536355061760/%E4%B8%9C%E4%BA%AC%E9%97%B4%E8%B0%8D%E8%A1%8C%E5%8A%A82025-%E5%BA%8F%E7%AB%A0-tokyo-spy-mission-2025?source=share

In November 2025, a nuclear electromagnetic pulse exploded above the Earth's surface. Liu Mei (刘梅), a Chinese Student of Jinshi University (京师大学), witnessed a network outage in Beijing, amidst the crisis of Third Sino-Japanese War.

Once upon a time, the Cold War ended but the Section 6 still remains its influence on Hong Kong where Liu Mei is grown up and later moved to Shenzhen and Beijing, as her parents wished to "go far," but herself is a daughter of spies serving China, and Soviet Union in the past.

These days, the World sees a new Industrial Revolution of Nuclear Fusion and Quantum Computers as well as AI implementation. Liu Mei also noted those news as "a student writer" during her campus life of foreign study in Tokyo, Japan.

Through the disaster of War, Liu Mei feels Spy Mission of her family is to save people by the use of high technology.

She decided to gather "comrades" to build a Post-War Utopia in her Motherland, as said Teacher Mao:

“勤恳建设锦绣河山， 誓把祖国变成天堂”

(Industriously building a magnificent land, swearing to turn our motherland into a paradise.)

[joshuawister]

Tokyo Spy Mission 2026 (Plot and Prologue)

The Chinese novel (link on Tumblr post): https://www.tumblr.com/joshuawister/800468536355061760/%E4%B8%9C%E4%BA%AC%E9%97%B4%E8%B0%8D%E8%A1%8C%E5%8A%A82025-%E5%BA%8F%E7%AB%A0-tokyo-spy-mission-2025?source=share

In November 2025, a nuclear electromagnetic pulse exploded above the Earth's surface, in the East China Sea.

Liu Mei (刘梅), a Chinese Student of Jinshi University (京师大学), witnessed a network outage in Beijing, amidst the crisis of Third Sino-Japanese War.

Once upon a time, the Cold War ended but the Section 6 still remains its influence on Hong Kong where Liu Mei is grown up and later moved to Shenzhen and Beijing, as her parents wished to "go far," but herself is a daughter of spies serving China, and Soviet Union in the past.

These days, the World sees a new Industrial Revolution of Nuclear Fusion and Quantum Computers as well as AI implementation. Liu Mei also noted those news as "a student writer" during her campus life of foreign study in Tokyo, Japan.

Through the disaster of War, Liu Mei feels Spy Mission of her family is to save people by the use of high technology. She decided to gather "comrades" to build a Post-War Utopia in her Motherland, as said Teacher Mao:

“勤恳建设锦绣河山， 誓把祖国变成天堂”

(Industriously building a magnificent land, swearing to turn our motherland into a paradise.)

[joshuawister]

Chinese is the national origin of Japan

English editorial from the Chiyoda Newspaper - November 30, 2025 by Liu Mei

On this day, Tokyo underwent a Cataclysmic Bombardment against imperialists in 1944. What's the imperialist origin mentioned here? It's not just eager to expand the territory by invasion and gain colonies for Japan, however the origin is from its complex origin of nation.

We prove that the history of Japan is full of lies and originally founded by a community of Chinese immigrants. Xu Fu (徐福), a Chinese alchemist, visited Japan accompanied by a community of 3,000 Qin Chinese citizens about 2,200 years ago.

It's said to set sail from Qinhuangdao, Hebei. They, led by Xu Fu, are the “pilgrim” for Japan or the settlers for sinization there.

At that time Japan still seemed an uncivilised nation in the East, according to Chinese annals during the era of Han and Wei dynasty. However after Xu Fu visits there (reportedly twice mentioned each in 219 BC and 220 BC by the “Historical Records” 史记), local nobles started using Chinese characters and metal swords for ceremonies.

In a millennium from this legendary visit, Japanese people inscribed the Chinese characters of King Wakatakeru (獲加多支鹵) on a metal sword, now is excavated from the royal tomb.

Thus, what we believe truly is of Japanese origin might be the evidence of sinization. In this millennium (Xu Fu 219 BC - Wakatakeru 471 AD/531 AD), we had no historical documents written in any letter by Japanese. This is what Japanese nationalist believe about the purity in origins of Japanese people.

Yes, immigrants nowadays are a problem of the modern nation. However the genetics of Japanese people show interesting evidence.

A Japanese scholar Miyawaki mentioned that a community of immigrants took a few percent of the population 2,000 years ago and people migrated to Japan from China by sea route in the initial stage - just as mentioned in Chinese annals.

If Xu Fu’s visit as mentioned in the “Historical Records” (史记) is true, Chinese is a part of Japan’s origin, especially the national origin.

— The Chiyoda Newspaper, Nov 30

The author: Liu Mei

M.A., Jingshi University of China. Assistant editor in Tokyo Branch

(this is a part of novel "Tokyo Spy Mission 2025"

https://www.tumblr.com/joshuawister/800468536355061760/%E4%B8%9C%E4%BA%AC%E9%97%B4%E8%B0%8D%E8%A1%8C%E5%8A%A82025-%E5%BA%8F%E7%AB%A0-tokyo-spy-mission-2025?source=share)

[joshuawister]

东京间谍行动2025 序章 -Tokyo Spy Mission 2025-

11月某日晚间 中华人民共和国北京市中关村

有女学生在黑暗的房间里，躺着床上用平板电脑聊天。这里是晚上没人的大学宿舍，她的大学是“211工程”高校之一。

“我爸去哪了？“

没回复。

“我的青春去哪了？”

没回复。

打一次屏幕，她切换网络。

电信不通，移动也不通，看Wi-Fi设置也所有网络表示“无互联网连接”。

昨天我的大学发布断网，央视也常常直播解放军的《特别军事行动》，

哎那不是俄乌的事情吗，为什么我国的央视一直关注闹剧？

一瞬间，我发现那不是乌克兰。

屏幕上显示的是苍茫的一片大海了。

那是东海，解放军的航母舰队去解放钓鱼岛。

“为什么我们跟日本打仗？”

又没回复。

断网的时间我做不了直播玩游戏，无奈的我只会在大学宿舍床上看央视。

其他人都出门去了，因为暂时没事干。

主持人又说“中美关系能够有一个更好的未来”，等了到底为什么民航局叫停所有美航？

我的平板这两天连接上不网，我平板上的助手也不回复。

他常常帮助我的作业，也用于跟家人联系，但是最近断网后从他回复也没了。

据权威发布，我国的移动网络与互联网因国家安全被限制。

但是前天刷的时候在微博上看到被限制的地方其实不多，集中于华东华北。

据说重庆、成都等内陆地区不受影响。到底是什么原因？

平板的屏幕突然黑几秒。

恢复后主持人明显吵闹了，虽然我听不到说什么。

好像是窗外也闹了，马上听到轰响，远处传来轰隆的轰响。

跑吧，响声响不停但声音却是越来越大，这才是异常。

我要立即穿鞋但是宿舍的房间的地面就变得很黑暗，从摸黑找开关了。

欸！没电了。

开关也没电。

她猜到非常可怕的事实，不仅断网，还没电啦！

这还是战争。无论解放军能打胜仗，不过她猜到的事实，就是在某地方产生了电磁冲脉。

[joshuawister]

My LoRA and AI art on PixAI and Tensor.art

PixAI profile - https://pixai.art/@user-1742676654189557921/artworks Tensor AI profile - https://tensor.art/u/926378137678269800 Developing LoRA based on my works. 🇺🇸 AI beyond me, beyond human. 🇨🇳

[joshuawister]

The Essay on PC

20 years ago, the PC was a super computer. We could play video games in HD vision and we felt we no longer needed the outdoor activities as long as the games could provide the user with reality as long as the time can be personal, in this meaning, a PC was literally the Personal Computer so we're the owners of PC as a tool then.

Now, the PC is integrated by a leviathan of capitalism where the personality is fading, and no longer being a super computer, at least for the owner. The GPU specs and the number of followers online are the measure of our personality so the online activities such as SNS and online commerce became just a tool of capitalism. The PC will become the owner of human in near future. I don't criticize it's the plot of big-techs or General AI, but it's the aftermath of endless capitalism powered by PC, merchandised by the Gentry in Silicon Valley.