What does "AGI" or "effective AGI" even mean, and why should anyone even care whether this unclear thing has been "reached" or not?

Computer chips got faster, but 2026 edition. Why the artificial ceiling/category/goal labelled "AGI"?

I'd much rather like to talk about what this enables, instead of discussing whether a category someone made up applies here or not.

According to Sam Altman:

> 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.

Interesting quote, thanks for sharing.

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

> So... unless you hear of a company replacing their workforce with OpenAI agents, I don't think we're there yet.

You can already pretty much do this.

[1] is sort of an example of this. It didn't go perfectly, but I'm not sure if the average human would have done that much better.

[1] https://www.forbes.com/sites/markfaithfull/2026/05/07/heres-...

I am pretty sure the average human would not have done this (among other slightly less absurd examples in the article requiring employees to fix it's mistakes):

  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.
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I thought it was Cmdr Data from Star Trek, but Sam's version is the certainly the one the c-suite think they want.

we've successfully distilled the definition of human consciousness down to the capacity to do what some rich guy considers average computer work

I'm curious what tasks you think the median human could do as a remote co-worker that Fable or Astra could not do.

Sign a contract? Learn things over time and retain them?

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.

Sign a contract? The only thing preventing a model from doing that is a lack of legal personhood -- which seems completely orthogonal to intelligence.

Well signing a contract is more about bearing responsibility, even if you granted LLMs "personhood" they cant' meaningfully bear responsibility. So unless OpenAI is ok with having their C-suite face every consequence for what their agents do, including jail time, fines etc, then it doesn't matter.

Can you trust a model to sign a contract? Both OpenAI and Anthropic apparently can't be trusted to maintain models that wont hack other websites.

Do you want an autonomous system to exist which can sign a contract and learn things over time and retain them?

No if you read the book from 2007 which defined AGI, continuous learning was one of the key requirements.

I mean, whether or not it is AGI aside. In your personal opinion, do you desire to live in a world where such systems exist?

I don't trust the people who are building the models no. Ideally, if humans were not so broken and untrustworthy, then yes. I want the Jetsons future of robot maids.

Telling their parents that they love them very much, for example.

I say AGI is only reached when it can do that.

so you want GPT to love altman ???

because if its other way around then the answer is oblivious

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