Wow. I woke up to an impressive number of upset people who apparently don’t understand how LLMs work and can’t cope well with me pointing it out. An LLM is a statistical next-token prediction model. That’s how it works. It’s an extraordinarily sophisticated calculator performing math you could theoretically do by hand (if you were sufficiently masochistic). Math doesn’t know what it’s calculating. Pi doesn’t spend its evenings contemplating the nature of circles, and c doesn’t ponder the relationship between matter and energy. That doesn’t make the results any less accurate, impressive, or useful. Between inference requests, an LLM isn’t sitting around thinking. It isn’t reconsidering its answers, wondering whether it made a mistake, contemplating its existence, or questioning whether it’s conscious. Its weights remain fixed (it doesn’t learn), and computation resumes when it receives input. We know this because we designed these systems. The architectures, mathematics, implementations, and research are extensively documented. You can study them yourself. Of course, some people immediately lean into comparisons of biological intelligence or philosophical debates over consciousness because that is what they know. But biological intelligence and artificial neural networks are fundamentally different systems. Similar outputs don’t establish equivalent internal experiences. I experience consciousness directly. I infer that other humans do too because we share biological structures and processes. We don’t have equivalent evidence for an LLM, and nothing about its known operation gives evidence of conscious experience. Which brings me back to my original point. To me, understanding is conscious comprehension. It means being aware of information, recognizing its meaning, and experiencing that comprehension. If I wasn’t conscious I could not understand. We can perform actions unconsciously. We can produce correct results without knowing why they’re correct. But I distinguish those capabilities from consciously understanding what we’re doing. An LLM can solve complex problems, explain difficult concepts, and produce remarkably accurate information. I give it full credit for those capabilities. But producing an answer that we rationalize as understanding isn’t the same as experiencing understanding. You don’t have to agree with my definitions. We can debate functional understanding versus conscious comprehension all day, but that won’t establish whether an LLM actually experiences anything. The right debate is this… Could machines exhibit something different from human consciousness, something measurable, meaningful, and worth studying? I think so, absolutely! I’m entirely open to discussing “machine consciousness” in terms of observable, testable computational properties. We built these systems, we can instrument them, examine their internal mechanisms, and investigate what they’re capable of. That seems far more productive than endlessly arguing over whether a machine experiences life the way humans do. So here’s my question: How would you define machine consciousness, and more importantly, how would you measure it?

This is fantastic. @BenAffleck understands and can reasonably explain something that many of the so-called AI "experts" seem determined to over complicate and mislead people on. In fact, many of these experts are rapidly losing credibility with people who actually understand how this technology works. Unfortunately, they've already convinced a lot of people that AI is something it isn't. And as the saying goes, it's easier to fool someone than to convince them they've been fooled. An LLM is a computer program. We designed it. We know the architecture, the mathematics, and how inference works. Much of the underlying code and research is open for anyone to inspect. All LLMs processes tokens through mathematical operations using learned weights and context to predict what comes next. The results can be astonishingly accurate, useful, and convincing. But the LLM isn't alive. It doesn't love you, hate you, care about you, or sit around contemplating its existence or understanding. And yet people insist that somewhere inside those matrix operations, consciousness has magically materialized. Seriously? This isn't biological life evolving in nature. It's software executing computations on hardware we designed and built. If you're claiming those computations somehow produce subjective experience, explain the mechanism (I'll wait...). The remarkable achievement here is that we've created software capable of convincingly emulating aspects of human intelligence and behavior. That's freakin' amazing and cause to celebrate the technology! But please stop confusing a computer program with a living, conscious being. It's absolutely not. The fact that so many people have fallen for that illusion is a testament to how convincing the technology has become. But here's the clincher: when we misunderstand this, and we start treating computer programs as conscious, independent beings, the legal implications could be disastrous. Suddenly, "the AI did it" becomes an excuse to shift blame away from the people and companies responsible for building, deploying, and operating these systems. AI cannot be held accountable. But people and companies can be, and must be held accountable. Ben gets it. More people should.