Coffee With Scott Adams 7/25/25

Politics had devolved into a contest to see who can plant the strongest false memories in the public.

Democrats deleted this tweet after everyone with eyes pointed out it showed grocery prices skyrocketed under Biden

Imagine walking into a bookstore and seeing: - Jewish Fragility - Jewish Supremacy - Israel's Original Sin We would all rightly see that as filth, unworthy of seeing print. It's time to disavow all hatred, including hatred of white Americans.

June was extremely painful. July is looking good. New meds (testosterone blockers) worked fast. Not a cure, but removed all pain. I’m told my body will eventually acclimate to the meds and they will no longer work. Might be a few years. Hard to say. PSA is a rough indicator of how bad the metastasized prostate cancer is.

Coffee With Scott Adams 7/24/25

It's gonna be hard to compete with driverless Cybercab if this gets popular.

New Wi-Fi fingerprint tech tracks your body without device, phone, or camera | Aamir Khollam, Interesting Engineering Wi-Fi networks could soon track you without devices, as Italian researchers harness signal distortions to create unique biometric identifiers. Surveillance in the digital age is no longer limited to cameras and smartphones. From facial recognition to GPS logs, the tools used to monitor people have grown increasingly sophisticated. Now, researchers in Italy have shown that even ordinary Wi-Fi signals can be used to track people, without needing them to carry any device at all. A team from La Sapienza University of Rome has developed a system called ‘WhoFi,’ which can generate a unique biometric identifier based on how a person’s body interacts with surrounding Wi-Fi signals. The approach, described in a preprint paper, uses signal distortions caused by the human body to re-identify individuals as they move across spaces covered by different Wi-Fi networks. Biometrics through the air The researchers behind WhoFi, Danilo Avola, Daniele Pannone, Dario Montagnini, and Emad Emam, claim their system can match people with up to 95.5 percent accuracy using the public NTU-Fi dataset. Their method builds on a technique known as Channel State Information (CSI), which captures how Wi-Fi signals change when they pass through physical environments. “The core insight is that as a Wi-Fi signal propagates through an environment, its waveform is altered by the presence and physical characteristics of objects and people along its path,” the authors state in the paper. “These alterations, captured in the form of Channel State Information (CSI), contain rich biometric information.” CSI includes data on both the amplitude and phase of electromagnetic transmissions. According to the team, these signal changes are specific enough to serve as a kind of digital fingerprint, especially when analyzed by a deep neural network. In this case, the researchers used a transformer-based architecture, a type of model popular in advanced AI applications. New angle on old problem The concept of re-identification, linking the same person across multiple points of observation, isn’t new. It’s widely used in video surveillance, often by tracking clothing or physical traits. But Wi-Fi presents new advantages. Wi-Fi signals present a powerful alternative to traditional surveillance tools like cameras. Unlike visual systems, they can operate regardless of lighting conditions, pass through walls, and avoid capturing identifiable images, making them appear more privacy-conscious on the surface. The WhoFi technique doesn’t rely on phones or wearable devices. A person’s body alone can create a distinct enough pattern in Wi-Fi signals to enable re-identification. This raises new concerns about passive tracking, especially as Wi-Fi sensing becomes more widely adopted. The groundwork for such applications was laid in 2020 with the approval of the IEEE 802.11bf specification. Since then, the Wi-Fi Alliance has been actively promoting Wi-Fi Sensing, reframing routers and access points as environmental sensors. A comparable system called ‘EyeFi’ was introduced in 2020, achieving 75 percent accuracy. WhoFi significantly improves on this with up to 95.5 percent accuracy, highlighting the growing effectiveness of signal-based re-identification tools. Read more:

Incredible: Trump has issued an executive order saying that the government will not purchase AI systems that default to black George Washington, refuse to celebrate the achievements of white people, or argue that misgendering someone is worse than a nuclear apocalypse.

I got mocked in 2016 for saying Clinton looked like she had a major health problem.