Earlier quoted context omitted.
>Gary Marcus - Geometric Intelligence, a machine learning company If you want an actual contribution, we have no real way to actually gauge what is, and what actually is not, a superior, generalized, adaptable intelligence, or what architecture can become a superior, generalized, adaptable intelligence. No one, not these companies, not the individuals, not the foremost researchers. OpenAI in an investor meeting: "yea…
Here you talk as if you don't think we know how to build AGI, how far away it is, or how many of the components we already have, which is reasonable. But that's different than saying confidently it's nowhere close. I notice you didn't back up your accusation of bad faith against Russell, who as far as I know is a pure academic. But beyond that - Marcus is in AI but not an LLM believer nor at an LLM company. Is the id…
But what I do know is that it is in the interests of these companies to press the fear button. It's pure regulatory capture and great marketing.
Personally: it's tiring when we have AI-philosophy bros hitting home runs like "what if we're actually all just language predictors." Coupled with the incessant bullshit from the less wrong-rationalist-effective altruist-crypto grifter-San Francisco sex cult adjacent about how, ackshually, AGI is just around the corner and it will take your job, launch the nukes, mail anthrax to you and kill your dog.
People approximated text prediction. It got good at it. It's getting better at it. Will it be AGI? Could it be construed as AGI? Can we define AGI? Is there existential risk? Are we anthropomorphizing it?
My take is: no, no, no, depends and yes. For whatever a take is worth.