The tools now exist to review every action and communication made by every citizen of every country without human intervention, and to sort those actions based on specific parameters set by a single person. Who will be the first one to set these parameters, and what will they be?
But the point wasn’t about the tracking, it was about sorting the data. The data acquisition has existed for years, but was never useful because it could never be processed in an accessible manner. Now AI can sort through the hours of traffick camera footage, identify your gate, and show every location you appeared on camera in the past 24 hours. It can also check cell tower records and record every cell phone that stood by the hotdog stand for more than 60 seconds, and crossreference the hardware IDs and Sim cards on those phones against carrier databases to match the walking gates of the people on camera to their name, address, SSN via credit check, and bank information.
No it can’t, not without major hallucinations and/or basic errors (ex: Black People tend to be misidentified).
That’s the big thing about this AI push, it’s subtle mistakes are fucking people over right now. If AI actually worked reliably that’s another thing. But right now, people are mostly pretending that AI works and/or ignorant of its flaws.
Don’t get LLMs confused with specialized ML algorithms. Hallucination is an LLM problem, algorithms like gait recognition have been honing in accuracy since way before LLMs started development. Where LLMs come into the picture is that they can act as agents, processing queries and then selecting the best fit specialized algorithm to process the data and then cross reference results from different queries to compile a correlated multidomain dataset. Done properly, this will yield not just a single answer but a list of potential answers with their relative degree of certainty.
Look at the Harvard facial recognition glasses as a proof of concept of this kind of approach: https://specialconcentrations.fas.harvard.edu/news/heres-looking-you
That’s why I said gait recognition, not facial recognition. Last year GaitNet hit over 99% recognition accuracy, given another year of training the error rate will have gone down and the recognition window will have gone up. https://pmc.ncbi.nlm.nih.gov/articles/PMC11323174/#:~:text=Diverse neural network-based gait,research direction is also assessed.