MrAssisted

MrAssisted

@mrassisted.bsky.social

Building and VTubing with AI - https://MrAssisted.com

71 followers310 following50 posts

"We'll subsidize your inference, but only if you sit here and waste your time doing it manually instead of having your agents do it" Please let this be a short-lived era.

providers make it so hard to tell what ai inference costs you basically have to hit another llm afterwards with some context and have it guess to the fraction of a cent

It would be interesting if the cycles are so compressed at this point the `AI winter` doesn't end up being meaningfully distinct from the `AI boom`, they just kind of play out superimposed, and you see one or the other depending on how you squint

I'm sitting with 3 current major USA university students, 2 comp sci 1 comp eng: none have tried cursor or claude code none of them have heard of attention is all you need none have heard of arxiv wtf

heard github copilot added gemini 2.5 so I paid them the 10 bucks since that would be way more cost effective than chugging through $30/day in pro requests in cursor Copilot did add gemini 2.5, but it's not enabled in agent mode so I literally don't care. Word to the wise.

any time I need to containerize some AI thing it means minimum two full days of dev time tied to my 3090 desktop pulling my hair out there has to be a better way and there are tons of product opportunities here but I can't envision the solution due to the constraints

The future is long lived stateful bidirectional interactions directly between models and clients GenDJ mapped these requirements to websockets based on first principles streamable HTTP is an interesting and reasonable path for MCP given the tradeoffs but I think it's wrong

With MCP every app on your desktop should be like cursor and have a AI-assistant-centric user experience Ableton, davinci resolve, excel, etc. all the apps you use day-to-day should all have a universal copilot driving them

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AI-augmented legacy apps continue duking it out with AI-native greenfield new apps (think cursor paradigms vs claude code paradigms) Finally, agents all the way down seems like the pretty clear end game

With MCP every app on your desktop should be like cursor and have a AI-assistant-centric user experience Ableton, davinci resolve, excel, etc. all the apps you use day-to-day should all have a universal copilot driving them

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I'm tempted to build a rough draft of that to learn the practical roadblocks to this approach (and because I actually want a universal copilot like this) but it's a complexity minefield

A bit later, the big players get around to making the OS-native copilot/siri/whatever inside MacOS/Windows able to do this. App developers will hook into system APIs so there's no setup required by the user, or they'll fight against the platforms to keep control of the UI touch points and foothold

With MCP every app on your desktop should be like cursor and have a AI-assistant-centric user experience Ableton, davinci resolve, excel, etc. all the apps you use day-to-day should all have a universal copilot driving them

gemini 2.5 is so good that cursor's job now is writing shell scripts that log all the context from my codebase relevant to copy paste into giant prompts of entire new features for 2.5 to one-shot build It's the ultimate "I'm sorry, I'm seeing someone else" of vibe coding

I redesigned category pages on AIRanksEverything to rank for `Best ${category} 2025` searches then I seeded it with 1200 categories that might be commonly searched my sitemap is scripted to link to all categories

I made a website to see if different AI models like your brand or recommend it Does AI even know about you? Does it know your website or socials? It's like SEO analysis but for ChatGPT and other AI models

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"AI SEO" isn't even the right term for this - I don't think we have an agreed upon term for this yet but brands should be paying attention to this even though we're still exploring it

I made a website to see if different AI models like your brand or recommend it Does AI even know about you? Does it know your website or socials? It's like SEO analysis but for ChatGPT and other AI models

AI often gets even the basics wrong For example, I searched Pokimane - a massive influencer with millions of followers and the new extremely popular gemini flash lite model gets her website totally wrong

Not only that, the website it's wrong about is actually available for purchase. Brands should be monitoring stuff like this and purchasing these domains to redirect them to the correct ones

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