[skydhash]

> Why do you think this is a problem?

Because it cannot do it?

Every investment has a date where there should be a return on that investment. If there’s no date, it’s a donation of resources (or a waste depending on perspective).

You may be OK with continuing to try to make things work. But others aren’t and have decided to invest their finite resources somewhere else.

[aspenmartin]

> Because it cannot do it?

Ah ok so you didn't really read my comment, what is your counter argument? Models are just fundamentally incapable of understanding business context? They are demonstrably already capable of this to a large extent.

> Every investment has a date where there should be a return on that investment. If there’s no date, it’s a donation of resources (or a waste depending on perspective).

what are you implying here? This convo now turns into the "AI is not profitable and this is a house of cards" theme? That's ok, we can ignore every other business model like say Uber running at a loss to capture what is ultimately an absolutely insane TAM. Little ol' Uber accumuluated ~33B in losses over 14 years, and you're right they tanked and collapsed like a dying star...oh wait...hmm interesting I just looked at their market cap and it's 141 Billion.

> You may be OK with continuing to try to make things work. But others aren’t and have decided to invest their finite resources somewhere else.

I truly love that. If you want to code as a hobby that is fantastic, and we can go ahead and see in 2 years how your comment ages.

[skydhash]

> They are demonstrably already capable of this to a large extent.

I’d very like to see such demonstration. Where someone hands over a department to an agent and let it makes decisions.

> This convo now turns into the "AI is not profitable and this is a house of cards" theme?

Where did I say that? I didn’t even mention money, just the broader resource term. A lot of business are mostly running experiments if the current set of tooling can match the marketing (or the hype). They’re not building datacenters or running AI labs. Such experiments can’t run forever.

[aspenmartin]

> I’d very like to see such demonstration. Where someone hands over a department to an agent and let it makes decisions.

That's your bar for understanding business context? I thought we were talking about what you actually said which is: understanding business context. If I brainstorm about a feature it will be able to pull the compendium of knowledge for the business (reports, previous launches, infrastructure, an understanding of the problem space, industry, company strategy). That's business context.

> Where did I say that? I didn’t even mention money, just the broader resource term. A lot of business are mostly running experiments if the current set of tooling can match the marketing (or the hype). They’re not building datacenters or running AI labs. Such experiments can’t run forever.

I misunderstood you then, I wasn't sure what point you were trying to make. Is your point "companies are trying to cajole Claude to do X and it doesn't work and hasn't for the last year so they are giving up"? If so I think that is a wonderful opportunity for people that understand the nuance of these systems and the concept of timing.

[nprateem]

You make the mistake of disregarding tacit knowledge - the stuff that isn't in reports, docs, etc, etc because it's just "how we do things" and picked up on the job.

Unless the AI is inserted into every conversation it won't discover this, or how it changes.

Even if it had access to all this documented it wouldn't then be able to account for politics, where Barry who runs analytics is secretly trying to sabotage the project so it ends up run by his team, etc.

[jwpapi]

@skydhash I think aspenmartin is ragebaiting he can’t be for real.