- "Someone you know has an AI boyfriend"

- "Generalist agent AIs that can function as a personal secretary"

I'd be curious how many people know someone that is sincerely in a relationship with an AI.

And also I'd love to know anyone that has honestly replaced their human assistant / secretary with an AI agent. I have an assistant, they're much more valuable beyond rote input-output tasks... Also I encourage my assistant to use LLMs when they can be useful like for supplementing research tasks.

Fundamentally though, I just don't think any AI agents I've seen can legitimately function as a personal secretary.

Also they said by April 2026:

> 22,000 Reliable Agent copies thinking at 13x human speed

And when moving from "Dec 2025" to "Apr 2026" they switch "Unreliable Agent" to "Reliable Agent". So again, we'll see. I'm very doubtful given the whole OpenClaw mess. Nothing about that says "two months away from reliable".

MyBoyfriendIsAI is a thing

> Generalist agent AIs that can function as a personal secretary

Isn't that what MoltBot/OpenClaw is all about?

So far these look like successful predictions.

Like, it can't even answer the phone.

I'm sure there are research demos in big companies, I'm sure some AI bro has done this with the Twilio API, but no one is seriously doing this.

All it takes is one "can you take this to the post office", the simplest, of requests, and you're in a dead end of at best refusal, but more likely role-play.

What does work in production (at least for SMB/customer-support style calls) is making the problem less magical: 1) narrow domain + explicit capabilities (book/reschedule/cancel, take a message, basic FAQs) 2) strict tool whitelist + typed schemas + confirmations for side effects 3) robust out-of-scope detection + graceful handoff (“I can’t do that, but I can X/Y/Z”) 4) real logs + eval/test harnesses so regressions get caught

Once you do that, you can get genuinely useful outcomes without the role-play traps you’re describing.

We’ve been building this at eboo.ai (voice agents for businesses). If you’re curious, happy to share the guardrails/eval setup we’ve found most effective.

is obviously a staged demo but it seems pretty serious for him. He's wearing a suit and everything!

https://www.instagram.com/p/DK8fmYzpE1E/

seems like research by some dude (no disrespect, he doesn't seems like he's at big company though).

https://www.instagram.com/p/DH6EaACR5-f/

could be astroturf, but seems maybe a little bit serious.

that's certainly one way to refer to Scott Alexander

Do we still think we'll have soft take off?

There's still no evidence we'll have any take off. At least in the "Foom!" sense of LLMs independently improving themselves iteratively to substantial new levels being reliably sustained over many generations.

To be clear, I think LLMs are valuable and will continue to significantly improve. But self-sustaining runaway positive feedback loops delivering exponential improvements resulting in leaps of tangible, real-world utility is a substantially different hypothesis. All the impressive and rapid achievements in LLMs to date can still be true while major elements required for Foom-ish exponential take-off are still missing.

It would be like distance to the top of a mountain. Even if someone is 10x closer, they could still only be within arms reach.

(= it might take an order of magnitude of improvements to be perceived as a substantial upgrade)

So the perceived rate of change might be linear.

It's definitely true for some things such as wealth:

- $2000 is a lot of you have $1000.

- It's a substantial improvement of you have $10000.

- It's not a lot you have $1m

- It does not matter if you have $1b

you're already interpreting this on the log scale

It feels crazy to just say we might see a fundamental shift in 5 years.

But the current addition to compute and research etc. def goes in this direction I think.

i dont think the model will figure that out on its own, because the human in the loop is the verification method for saying if its doing better or not, and more importantly, defining better

https://x.com/TheZvi/status/2017310187309113781