Wednesday, March 4, 2026

If you want, I can also explain why many military experts say this war may mark the beginning of “AI-speed warfare”—a major shift in how wars are fought. Yes, please, thanks. (ChatGPT, 2026-3-4)

Many defense analysts believe the recent U.S. strike on Iran signals the emergence of “AI-speed warfare”—a situation where the tempo of war is increasingly determined by machine-assisted decision cycles rather than human deliberation. The idea is not that AI replaces commanders, but that it accelerates the pace of perception, analysis, and action to near-machine speed.


Below are the main reasons experts think this conflict may represent that turning point.





1. War moving from “human tempo” to “machine tempo”



For most of history, war operated at human speed:


  • commanders receive reports
  • analysts interpret intelligence
  • plans are debated
  • orders are issued



This process could take hours, days, or weeks.


AI changes this.


Machine learning systems can:


  • analyze satellite images in seconds
  • correlate signals intelligence instantly
  • simulate strike outcomes rapidly



What once took days of intelligence work can now happen in minutes.


Military theorists say the decision cycle is collapsing.





2. Compression of the OODA loop



The famous military concept from strategist John Boyd is the OODA loop:


  1. Observe
  2. Orient
  3. Decide
  4. Act



Victory often goes to the side that runs the OODA loop faster.


AI drastically speeds up the first two steps:


  • Observe: automated sensor analysis
  • Orient: AI pattern recognition



This allows commanders to reach the decide–act phase much faster than an adversary.


The result: tempo dominance.





3. Massive sensor data can finally be used



Modern war generates overwhelming data:


  • satellites
  • drones
  • radar
  • signals interception
  • cyber intelligence



Humans cannot process this volume.


AI systems—such as the Pentagon’s Project Maven—can automatically:


  • detect vehicles
  • identify missile launchers
  • track troop movements
  • flag anomalies



This transforms intelligence from information overload → actionable insight.





4. AI enables synchronized multi-domain warfare



Modern conflicts operate simultaneously in many domains:


  • air
  • land
  • sea
  • cyber
  • space
  • information warfare



AI helps coordinate these layers.


For example, it can:


  • synchronize drone swarms with missile strikes
  • time cyber attacks with kinetic strikes
  • identify vulnerabilities across networks



War becomes algorithmically orchestrated.





5. Human decision time becomes the bottleneck



Ironically, as AI speeds things up, humans become the slowest part of the system.


This creates a dangerous pressure:


  • If you wait too long, the enemy strikes first.
  • If you rely too heavily on AI, mistakes escalate quickly.



Strategists call this the automation dilemma.


It raises ethical questions:


  • How much autonomy should weapons have?
  • Can humans meaningfully supervise machine-speed decisions?






6. The threshold for war may drop



Another concern is that faster decision cycles may make war easier to start.


If military planners believe they can:


  • locate targets instantly
  • neutralize threats quickly
  • avoid prolonged conflict



then leaders may be more willing to initiate strikes.


In this sense AI might not only change how wars are fought, but also how often they occur.





7. A new era comparable to earlier military revolutions



Historians compare AI warfare to earlier transformations:

Era

Transformation

Gunpowder (15th17th c.)

End of medieval warfare

Industrial warfare (1914)

Mass mechanized war

Nuclear weapons (1945)

Deterrence and existential risk

Digital warfare (1990s)

Precision and network warfare

AI warfare (2020s)

Machine-speed conflict

The key shift is tempo.


War may increasingly occur faster than political systems can fully control.


⸻


A philosophical reflection


Given your interest in “物的反撲,人的退位” (the counterattack of things and the retreat of humans), AI-speed warfare is almost a literal example.


Weapons systems become:

• partially autonomous

• algorithmically coordinated

• faster than human comprehension


Humans still give the final authorization—but the operational reality unfolds in machine time.


In that sense, modern war may illustrate precisely the dynamic you have described:


the agency of objects and systems rising, while human subjectivity retreats.


⸻


If you want, we can also explore a deeper question that many strategists and philosophers are now asking:


Will AI-speed warfare make war impossible (because escalation becomes too dangerous), or inevitable (because reaction times become too short)?


That dilemma may define the geopolitics of the 21st century.

How was AI used in the US attack on Iran? (ChatGPT, 2026-3-4)

Recent reporting indicates that AI played several important roles in the U.S. military strikes on Iran (2026)—not by fully autonomous weapons making decisions on their own, but by accelerating intelligence analysis, target selection, and operational planning. Here are the main ways AI was used.





1. AI shortened the “kill chain”



One of the most significant uses was compressing the military decision cycle—the time from identifying a target to striking it.


  • AI systems analyzed large streams of data: satellite images, drone feeds, signals intelligence, and logistics.
  • They helped identify and prioritize targets, suggest weapons, and coordinate strikes.
  • Experts say this allowed the U.S. to launch hundreds of strikes within hours, something previously almost impossible.  



In military terminology, the “kill chain” has steps like:


  1. Detect potential targets
  2. Identify and verify them
  3. Select the appropriate weapon
  4. Assign the strike platform
  5. Execute the attack



AI systems can now automate or assist in several of these steps, greatly speeding operations.





2. AI intelligence systems (Project Maven)



A major platform involved is the Pentagon’s Project Maven.


  • Maven uses machine learning to analyze surveillance imagery and intelligence data.
  • It helps analysts detect objects (vehicles, missile launchers, facilities) in satellite or drone imagery.
  • With AI assistance, small teams can process huge volumes of data, replacing the work of much larger intelligence staffs.  



For example, reports say around 20 personnel using AI tools could perform work that once required about 2,000 analysts. 





3. Large-language-model AI assisting planning



Reports also say the military used the AI model Claude (AI model).


It was integrated into classified systems and helped with:


  • Analyzing intelligence datasets
  • Running battlefield simulations
  • Recommending targets
  • Assessing operational plans and legal considerations



This AI reportedly helped support targeting decisions in the strikes. 





4. Coordinating drone and missile strikes



AI-assisted systems also helped coordinate modern weapons used in the attack:


  • Stealth aircraft (B-2, F-35)
  • Tomahawk cruise missiles
  • Low-cost “suicide drones” (LUCAS) deployed for the first time in combat  



AI tools help determine:


  • which targets to strike
  • which platform should attack
  • how to sequence multiple strikes quickly






5. Information warfare and misinformation



AI also played a role outside the battlefield:


  • AI-generated or manipulated satellite images circulated online during the conflict.
  • These deepfakes misled people about damage to military sites.  



This shows that AI affects both kinetic warfare and information warfare.




✅ In short: AI did not independently decide to attack Iran. Instead it acted as a “decision-acceleration tool”—processing intelligence, recommending targets, coordinating strikes, and dramatically speeding the tempo of warfare.




💡 Historical note: This evolution follows earlier U.S. cyber-AI warfare against Iran, such as Operation Olympic Games, which used the Stuxnet virus to sabotage nuclear facilities. 




If you want, I can also explain why many military experts say this war may mark the beginning of “AI-speed warfare”—a major shift in how wars are fought.


3/4/26. (星期三)

口罩,注意 Bolano 的敘事,智利的風,和詩的本質,

train your ears

https://youtu.be/YXgBYdjGKQM?si=3yDjfwHyGtIIOc_3

harvard thinking

https://youtu.be/PXp59FDQ_3o?si=Yt2Z_Q93BGB0ZJBj

Galileo’s handwritten notes found in ancient astronomy text

 https://www.science.org/content/article/galileo-s-handwritten-notes-found-ancient-astronomy-text?utm_source=Live+Audience&utm_campaign=702872cbaf-nature-briefing-daily-20260303&utm_medium=email&utm_term=0_-33f35e09ea-50423968

Monday, March 2, 2026

只要他還在台上

https://www.epochtimes.com/b5/26/2/28/n14707628.htm/amp

1.只要他还在台上,经济的引擎便会锈蚀,繁荣终将凋謝為慘敗。

2.只要他还在台上,狂妄的外交便会四面树敌,让国徹底陷于孤立。

3.只要他还在台上,官场的规矩便会异化为恐惧,令公职者每日提心吊胆。

4.只要他还在台上,民生的重担便会日复一日地加码,令百姓在苦日子中挣扎。

5.只要他还在台上,智识与灵魂便会遭到驱逐,逼迫社会精英竞相逃离。

6.只要他还在台上,言论的禁区便会不断扩张,令整个社会噤若寒蝉。

7.只要他还在台上,破产、失业与绝望的阴霾,便会成为社会的常态。

8.只要他还在台上,自杀、失踪与报复社会的悲剧,便会如野草般层出不穷。

9.只要他还在台上,法治的基石便会沦为权力的玩物,公平正义荡然无存。

10.只要他还在台上,创新的源头便会被行政指令扼杀,科技文明将陷入停滞。

11.只要他还在台上,权贵的傲慢便会肆意膨胀,让底层阶层彻底失去尊严。

12.只要他还在台上,腐败的肌理便会深入社会骨髓,蛀空所有的公共积累。

13.只要他还在台上,教育的纯粹便会遭受意识形态的入侵,令下一代淪為工具。

14.只要他还在台上,信任的纽带便会全面断裂,人与人之间只剩下防备与猜忌。

15.只要他还在台上,历史的教训便会被强行涂改,令国家在同一条沟壑中反复跌倒。

16.只要他还在台上,文化的多元便会枯萎为一片荒原,只剩单一的赞歌在回荡。

17.只要他还在台上,环境的保护便会沦为虚妄的口号,生态欠债将由后人偿还。 

18.只要他还在台上,邻国的防备与警惕便会日益加深,让和平的窗户难以开启。 

19.只要他还在台上,权力的任性便会凌驾于常识之上,让文明逻辑彻底崩塌。 

20.只要他还在台上,国家的前途便会如坠入无底深渊的巨石,再难看见破晓的光芒。 

21.只要他还在台上,反腐的旗号便会愈发荒谬,权力垄断导致腐败愈反愈深。 

22.只要他还在台上,食品安全便会成为奢望,地沟油与有毒餐桌成为全民噩梦。 

23.只要他还在台上,权力的幽灵便会如影随形,国家重要人物的死因永远是一团谜雾。 

24.只要他还在台上,良心与坚持公义的囚徒,便会在囚笼中默默走向死亡。 

25.只要他还在台上,国家便会不可逆转地滑向极权闭锁,最终沦为大型的北朝鲜式荒原。 

26.只要他还在台上,行政决策便会沦为盲目的折腾与瞎指挥,让国家资源在内耗中虚掷。 

27.只要他还在台上,台海的安宁便遥遥无期,扩军与威胁将常态化地挤占公共福利。 

28.只要他还在台上,对侵略者的支持便会不断加码,让国家在国际道德与制裁中越陷越深。 

29.只要他还在台上,人口危机、金融债务与外资撤离的连锁反应,便会引爆系统的连锁崩塌。 

30.只要他还在台上,社会将陷入死气沉沉的窒息,在危机四伏中等待未知的动荡与变局。 当权力拒绝接受外部监督与纠错,它便被迫依赖封闭 的信息系统,这种依赖导致了决策的持续性误判(折 腾、撒币、孤立),最终将整个系统的生存底线不断下探。

習包子剛剛被炸死中國人民高呼春天終於來了

https://youtu.be/_cuTrVJ2E4s?si=P0RZ2YXnrtoEi8zY