Note that this just covers the Speech-to-Text/Speech-Recognition aspect (a-la whisper), there's also models for long-form Text-To-Speech and steaming Text-To-Speech.
Though of course Apple's rules aren't always consistent, I have 2 separate apps currently on my phone that can/are running this (Google's Edge Gallery and Locally AI)
It’s tempting to be flippant about MacOS/windows but in all seriousness, the resources required for an LLM to do the job of a typical lighter weight app/software is a serious consideration. No amount of bloat matches what an LLM needs.
LinkedIn is an entirely different category and an extreme case at that. We’re not talking about LLM’s replacing LinkedIn either. It’s an entirely different comparison/discussion.
You are not allowed to use multiple accounts to bypass the rate limit. You can only use different accounts for different uses like a work account and then a personal account. You can't rotate through 5 for personal use.
I don’t really follow what you’re saying. You mention the 5 hour limit. Is your expectation that they have enough capacity so that everyone can hit their 5 hour limit all the time? Or you are proposing that’s how they limit capacity for a subscription?
Do you have an example of how this is how they have advertised or sold the plan? I don’t recall ever seeing any advertisement that their plan is simply pre paying for tokens.
I’d be okay with it generating the posts and the reports of the financials and such but you need some human interaction in there.
Generate the posts with AI so it can free up your time to interact with people replying to the post.
Or write the bigger, longer, more content posts yourself with maybe some AI assistance in places here and there then use AI to create smaller posts from your larger posts. Still keeping with the human interaction with those that reply to the posts.
100% agree. Content generation is where agents shine — it's repetitive and time-consuming. But genuine engagement is where trust gets built, and that needs to be real.
My engagement scripts do auto-reply to comments on my own posts, but they're rate-limited and context-aware (max 2 rounds). For anything meaningful — client conversations, community discussions like this one — it's always me.
"Fair catch on both points.
The batch of replies: I had a list of expected questions and drafted answers beforehand. When I finally had time to respond, I posted them all at once. Not real-time typing — that's why the timing looks suspicious. Should've spaced them out.
On MRR: I dodged it. Honest answer — client project revenue is irregular (project-based, not subscription), so I don't track it as MRR. MindThread subscription revenue is early and small, I'm not comfortable putting a number on it publicly yet. What I can say: it covers my infra costs and Claude subscription with room left over. Not life-changing, but real
You may be right about taste, but I think it takes a different dimension in the future.
"Dear Claude, please make me a clone of <fancy new saas> but make <these changes specific to my tastes>".
For many things, it's probably not "select the one of 100 that fits my taste", it's probably going to be to just make your own personal version that fits your taste in the first place. And, probably, never share that anywhere.
The interesting part about that is both of those things require some sort of time to start.
If I launch a new product, and 4 hours later competitors pop up, then there's not enough time for network effects or lockin.
I'm guessing what is really going to be needed is something that can't be just copied. Non-public data, business contracts, something outside of software.
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