There’s an extraordinary amount of hype around “AI” right now, perhaps even greater than in past cycles, where we’ve seen an AI bubble about once per decade. This time, the focus is on generative systems, particularly LLMs and other tools designed to generate plausible outputs that either make people feel like the response is correct, or where the response is sufficient to fill in for domains where correctness doesn’t matter.
But we can tell the traditional tech industry (the handful of giant tech companies, along with startups backed by the handful of most powerful venture capital firms) is in the midst of building another “Web3”-style froth bubble because they’ve again abandoned one of the core values of actual technology-based advancement: reason.
If you haven’t published a few papers then your preference in acronyms is irrelevant.
AI comprises everything from pattern recognition like OCR and speech recognition to the complex transformers we know now. All of these are specialized in that they can only accomplish a single task. Such as recognizing graffiti or generating graffiti. AGI, artificial general intelligence, would be flexible enough to do all the things and is currently considered the holy grail of ai.