> AGI is essentially the equivalent of a median human that could be hired as a remote co-worker... capable of performing any task that one would be satisfied with a remote colleague doing via a computer.
So... unless you hear of a company replacing their workforce with OpenAI agents, I don't think we're there yet.
Agree on your assessment.
But also, interesting quote, because the business model relies entirely on IP law. Like.. if that thing exists and the sharing costs are 0 (just copy weights, lol), then why would I give them money for this. Makes no sense.
We only pay money for resources that are scarce as some sort of flawed allocation determination mechanism.
aaah this industry aaaah
You can already pretty much do this.
[1] https://www.forbes.com/sites/markfaithfull/2026/05/07/heres-...
Andon Labs added: “During the first week of operations, Mona purchased 120 eggs despite the café having no stove and to solve spoilage issues ordered nearly 50lbs of canned tomatoes intended for fresh sandwiches. Employees eventually created a shelf displaying Mona’s strangest purchases: 6,000 napkins, 3,000 nitrile gloves, industrial trash bags and 2.5 gallons of coconut milk.Mind you, the original thoughts on AGI before Sam Altman started to water them down involved continuous learning, which LLMs do not do, their core data is static.
I say AGI is only reached when it can do that.
because if its other way around then the answer is oblivious