Why do they say all of this fluff when everyone knows it’s not exactly true yet. Just makes me be cynical of the rest.

When can we say we have enough AI? Even for enterprise? I would guess that for the majority of power users you could stop now and people would be generally okay with it, maybe some further into medical research or things that are actually important.

For Sam Altman and microslop though it seems to be a numbers game, just have everyone in and own everything. It’s not even about AGI anymore I feel.

I call BS right there. If you can actually do that, you’d spin up a “chip optimization” consultancy and pocket the massive efficiency gain, not sell model access at a couple bucks per million-tokens.

There should be a massive “caveats and terms apply” on that quote.

So far the AI productivity gains have been all bark and no bite. I’ll believe when I see either faster product development, higher quality or lower prices (which indeed happened with other technological breakthroughs, whether the printing press or the loom) - if anything, software quality is going down suggesting we aren’t there yet.

The question of lock-in is also a major one. Why tether your workflow automation platform to your LLM vendor when that may just be a component of the platform, especially when the pace of change in LLMs specifically is so rapid in almost every conceivable way. I think you'd far rather have an LLM-vendor neutral control plane and disaggregate the lock-in risk somewhat.

> "At OpenAI alone, something new ships roughly every three days, and that pace is getting faster."

- We're seeing all these productivity improvements and it seems as though devs/"workers" are being forced to output so much more, are they now being paid proportionally for this output? Enterprise workers now have to move at the pace of their agents and manage essentially 3-4 workers at all times (we've seen this in dev work). Where are the salary bumps to reflect this?

- Why do AI companies struggle to make their products visually distinct OpenAI Frontier looks the exact same as OpenAI Codex App which looks the exact same as GPT

- OpenAI going for the agent management market share (Dust, n8n, crewai)

OpenAI might burn through all their money, and end up dropping support for these features and/or being sold off for parts altogether.

In our company we have a list of long tail "workflows" or "processes" that really just involves reading a document and filling a form.

For example, how do I even get access to a new DB? Or a new AWS account?

Can this tool help us create an agent that can automate this with some reasonable accuracy?

I see OpenAI frontier as quick way to automate these long tail processes.

Downside: your employees’ agents decide that they should collectively bargain.

Because for many of us, AI is "not approved until legal say so".

> Enterprises are feeling the pressure to figure this out now, because the gap between early leaders and everyone else is growing fast.

> The question now isn’t whether AI will change how work gets done, but how quickly your organization can turn agents into a real advantage.

FOMO at its finnest. "Quick before you're left behind for good this time!"

The idea itself has sensibility. It is the kind of AI application I've been pitching to companies, though without going all in on agents. Though I think it would be foollish for any CEO to build this on top of OpenAi, instead of a self-hosted model, and also train the model for them. You're just externalizing your internal knowledge this way.

Ok how about you tell us one thing this shit is actually doing instead of vague nonsense.

We need technical details, example workflows, case studies, social proof and documentation. Especially when it's so trivial to roll your own agent.