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Quick review of @HyperFrames_ I've been using @HyperFrames_ the past couple of days to test out and edit some short clips with their new studio editor, and this shit is goated 🔥. There’s no way this tool should be free, because it’s insane. I love it. It's very easy to use. At first I wasn't sure if there was a way that I should prompt it in a particular way for me to get what I wanted out of the video but I learned very quickly that I don't need to do any of that shit. I don't need to be super specific or have the perfect prompt. I just say what I want and it knows how to handle it. With Opus 5.5 it works very well. I did try it with @grok as that's my main sub for AI, and the model definitely had a harder time understanding how a video should be put together. Granted I'm no expert either but Opus 5.5 does an amazing job and the usage is very minimal. My only critique would be the studio editor, especially if you're editing long clips into shorter ones. Sometimes it has a hard time processing in real time and when you play the video you get a lot of weird things that happen. The export also takes a hot minute. Other than that, honestly, I will never edit a video by hand with this. The biggest thing that was keeping me from editing or making videos at all was the editing part. Now that this is here I will make videos all the time and I'll never edit a video by hand again.

My passion is being multi passionate

We literally took rocks, put lightning in them and tricked them into thinking. This is absolutely insane…

I am who I am and I need to be more open about it.

Everyday AI adoption stalls between academic papers and fifty dollar prompt packs. People paste a prompt into a chatbot, get canned filler, and walk away thinking the tool is hype. Adoption happens when one tool reliably finishes one specific task without an affiliate funnel.

Models drop conversational rules from an AGENTS.md file while still running tools. Attention drops middle tone rules once token load shifts to schemas. Superficial checks miss it because code executes, but voice drifts back into generic assistant boilerplate.

In my day job inspecting BMS front ends, vendors miss negative power readings and inverted status symbols during superficial glance passes. Synthetic AI benchmarks do the same thing in sanitized test setups. Real operator use is what catches where tools actually break.

Models skip instructions in an AGENTS.md file because attention mechanisms focus on the start and end while dropping off in the middle. The fix is to shorten the file or place explicit directives at the start and end to read the full text end to end without skipping.

Pulling utility power at 15 MW of load is where systems actually break. In my day job, vendors simulate heat by tweaking setpoints for two hours. Real testing means load banks heating the hall to 90-120°F for 10+ hours, then slamming that load onto generators.

Sitting at 31 followers right now. Going all-in to just grind and see what happens when I put the work in every day. We will see where I end up.

My day job is stress-testing data centers to see what actually works. I'm building Artificially Integrated: an open-source map of AI tools ranked by real sentiment on X. Zero code written yet. Going to vibe-code it in public.

Posting this as I make a decision to completely change what I am even doing on here. If you need push to do something different read this and just try. This is the commitment I really am just making to myself because I dont want to read this a year later a failure in my own eyes. So I am actually going to try, we will see where I end up 1 year from now.