AI, Surveillance & The Post-Human Era
Definition: Analyzing the intrusion of core technologies (AI, big data, cybernetics) into daily life, the risks of a post-human age, and humanity's destiny under algorithmic rule.
Around the first century CE, in Alexandria in Roman Egypt, the engineer Heron described a device called an aeolipile. A boiler sent steam into a hollow sphere. Steam escaped through bent tubes on its sides and made the sphere rotate. The device showed that steam could create rotary motion. It was not yet a piston engine for driving a pump or a loom, although many histories call it a precursor of the steam engine.
In 1888, Thomas Edison already had generating stations, wires and direct-current customers in American cities. George Westinghouse sold a different system. Alternating current could be stepped up with transformers for transmission and stepped down again for use in homes. Nikola Tesla brought patents for alternating-current motors into the contest. The difference would decide who supplied electricity to entire cities.
On October 28, 2021, Facebook changed its corporate name to Meta. Mark Zuckerberg said the company would move from 2D screens toward the “metaverse”, a 3D space where people could work, learn, shop, play, and meet through avatars. He did not present it as a side project. In his founder’s letter, he wrote that all of the company’s products would point toward the metaverse and that Meta would be “metaverse-first”, not
On 29 October 1969, a computer at UCLA sent the first characters to a computer at the Stanford Research Institute. The network had only four nodes. It was built so research centres could communicate even if one node was destroyed. That network was ARPANET. It became the foundation of the Internet.
On September 10, 2008, CERN sent a proton beam around the Large Hadron Collider, known as the LHC. The 27 kilometre accelerator runs beneath the border between France and Switzerland. Nine days later, engineers raised the current while testing the magnets and an electrical connection failed. Helium
Jet traffic now fills the upper sky, and from the ground people keep seeing white trails stretch overhead. Some vanish within minutes, while others stay for hours or more than a day.
HAARP sits near Gakona, Alaska, with 180 high-frequency antenna elements spread across about 33 acres and a radiated power of 3.6 megawatts into the ionosphere. The weather-control rumor grips those very numbers and then adds one further step: HAARP can control clouds, storms, earthquakes, and human minds.
In 1902, Nikola Tesla built the Wardenclyffe laboratory in Shoreham, Long Island, New York. Beside the building stood a wooden tower about 57 metres high. Tesla wanted to transmit telegraph signals, voice, images, and power through open space so distant equipment could receive energy without its own connecting wire. The National Park Service identifies Wardenclyffe as the site of Tesla’s most important wireless-power experiments.
On the morning of 30 June 1908, an explosion swept a remote part of Siberia and flattened about 2,150 square kilometres of forest without leaving a crater or a piece of a space body. Modern legend says Nikola Tesla caused it from New York with a "death beam", and that story still lacks engineering proof.
In September 2018, a Proceedings of the National Academy of Sciences study analyzed more than 13 million Twitter posts containing links. The researchers found that a small group of highly active accounts helped low-credibility content spread during its early stage. Many had bot-like features: they were software able to post, reply, share, follow, or collect data. They did not need to persuade readers with an argument. They only needed to make a link appear often enough and early enough for others to assume that a crowd was interested.
Since the 1970s, brain-computer interfaces have moved from laboratory research into medicine. In 2023, a paralyzed participant was able to produce speech by attempting to speak in the mind. Electrodes recorded activity in speech-related brain areas, and a computer model turned the signals into text and sound. In the same year, another team used an external fMRI scanner to recover parts of the meaning of sentences a participant heard or imagined. In 2025, NIH described research that decoded part of silent speech and required a passphrase to prevent the system from producing words the participant had not intended to say.
In 2019, the US National Institute of Standards and Technology (NIST) tested 189 facial-recognition algorithms from 99 developers on millions of images. NIST did not ask only whether a machine identified the correct person. It also measured how the machine failed across age, sex, and demographic groups. The results showed differences across most algorithms. In many one-to-one comparisons, some Asian and African American faces were falsely matched more often than white faces, with certain algorithms showing differences of ten to one hundred times. In one-to-many searches, African American women also had higher false-match rates in many algorithms.
In 2015, the Philadelphia Police Department began testing HunchLab, a predictive-policing system. The city was divided into squares measuring 500 feet on each side. Every day, the software used old crime data, calculated the expected number of incidents in each cell, and highlighted the cells with the highest scores so officers could patrol them. The goal sounded reasonable: if the system could identify high-risk places, police could arrive before a crime occurred.
Section 702 and PRISM show how concentrated cloud data can connect commercial infrastructure to intelligence collection at scale.