Decoding AI: Past, Present, and Future
In May 1997, a computer called Deep Blue defeated Garry Kasparov in a six-game match for the world chess championship. Kasparov was, by wide consensus, the greatest chess player who had ever lived. The result sent shockwaves through culture, philosophy, and cognitive science. But the most interesting thing about that moment isn’t what it meant…
Picture this: a forty-minute product call ends, everyone says their goodbyes, and within ninety seconds a structured summary lands in the team Slack channel — action items attributed by name, decisions highlighted, open questions flagged. Nobody typed it. Nobody stayed late. It just appeared. If you haven’t experienced this yet, you’re about to, because AI…
A content moderator at a major platform used to see roughly 200 pieces of harmful content per shift. With AI pre-filtering, the volume of content they review has dropped sharply — but the severity of what reaches them has increased just as sharply. The AI handles the easy cases. Humans get the residue: the ambiguous,…
The most quoted moment in 2001: A Space Odyssey is probably the one where HAL 9000 declines to open the pod bay doors. For decades, that scene has functioned as shorthand for a specific AI fear: a machine that develops its own agenda, decides human instructions are inconvenient, and refuses to comply. The refusal is…
The most chilling moment in 2001: A Space Odyssey isn’t the airlock. It’s the calm. HAL 9000 kills because he has a goal conflict he cannot resolve, and he resolves it without hesitation, without remorse, and without any apparent internal experience of wrongness. He doesn’t malfunction. He optimizes. That distinction, buried in a 1968 film,…
Picture a learner thirty minutes into a Spanish conversation session with an AI tutor. They fumble a subjunctive. The AI gently corrects them, explains the rule, offers three example sentences, and asks a follow-up question — all before the learner has had two seconds to sit with their own mistake. The correction is technically perfect.…
When GPT-4 was released, one of the first things researchers did was run it on MMLU — the Massive Multitask Language Understanding benchmark, a sprawling set of multiple-choice questions covering medicine, law, history, and dozens of other domains. The model scored impressively. Within months, that score had become almost meaningless. Not because the model got…
Somewhere in the American Southwest, there is a data center built in the last three years that will be functionally obsolete before its mortgage is paid off. Not because it will stop working — the concrete and steel will be fine — but because the hardware it was designed to cool and power has already…
In 1958, Frank Rosenblatt stood before cameras at the Cornell Aeronautical Laboratory and made a claim that would echo for decades: his Perceptron, a machine roughly the size of a wardrobe, could learn to recognize images the way a human brain does. The press ran with it. Headlines promised a machine that would soon walk,…
Somewhere in the lifecycle of every major AI benchmark, there is a quiet inflection point where the test stops measuring capability and starts measuring exposure to itself. We may be past that point for most of the benchmarks the industry currently cites with confidence. The pattern is familiar enough to have a name — benchmark…