Well, that stuff goes viral because it’s fun to imitate, all the dances and challenges provided a flywheel to get people creating more content, it’s fun to make the video.
If I see an AI video and my options to participate are… prompt another AI video? What’s the point
I think you’d have to participate, but this was a real thing and it was fun.
For example, there is one that was a making sort of Macy’s thanksgiving day-style parade floats.
And you could pick virtually any content type and see this interpreted as “real” floats.
It did not require a ton of effort, for example you could reply to the above example existing with the prompt “do this, but have the float theme be ‘meet the feebles’”
And if you know of that film and recognized the AI’s interpretation of it in that context and it was half decent it was entertaining.
Not all “trends” if you can call them that were so simple to do well with.
Often the prompts needed to be elaborate and required multiple generations to really get a feel for if you were on the right track.
I think they did have something here and probably someone will do it again and it will work.
An AI video trend on Instagram as been Han from Tokyo Drift with different cars. People still want to share those on the platforms they are already locked into with their friends.
Claude Code breaks production features and doesn't say anything about it. The product has just shifted gears with little to no ceremony.
I expect that from something guiding the market, but there have been times where stuff changes, and it isn't even clear if it is a bug or a permanent decision. I suspect they don't even know.
Indeed, like MagSafe charging—they simplify. Simplicity has a premium.
That said, my first pair failed out of Apple Care and resulted in a full cost replacement. The APM sub is littered with stories of the BT module failing.
I’m sure it is ludicrous to some but I often measure value by utility and I go through entire workdays wearing this product.
I also do this. My primary use case is for reproducing page layout and styling at any given tree in the dom. So, capturing various states of a component etc.
I also use it to automatically retrieve page responsiveness behavior in complex web apps. It uses playwright to adjust the width and monitor entire trees for exact changes which it writes structured data that includes the complete cascade of styles relevant with screenshots to support the snapshots.
There are tools you can buy that let you do this kind of inspection manually, but they are designed for humans. So, lots of clickety-clackety and human speed results.
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My first reaction to seeing this FP was why are people still releasing MCPs? So far I've managed to completely avoid that hype loop and went straight to building custom CLIs even before skills were a thing.
I think people are still not realizing the power and efficiency of direct access to things you want and skills to guide the AI in using the access effectively.
Maybe I'm missing something in this particular use case?
> There are tools you can buy that let you do this kind of inspection manually, but they are designed for humans.
You should try my SnipCSS Claude Code plugin. It still uses MCP as skill (haven't converted to CLI yet), but it does exactly what you want for reproducing designs in Tailwind/CSS at AI speeds.
> My first reaction to seeing this FP was why are people still releasing MCPs?
MCPs are more difficult to use. You need to use an agent to use the tools, can't do it manually easily. I wonder if some people see that friction as a feature.
Presuming he holds keys to vast wealth, the calculation would have shifted over time. Especially once he was serving his original sentence again starting a year ago.
Another consideration is that many go to jail longer with no upside once getting released.
I used to report bugs, read release notes; I was all in on the full stack debug capability in pycharm of Django.
The first signs of trouble (with AI specifically) predated GitHub copilot to TabNine.
TabNine was the first true demonstration of AI powered code completion in pycharm. There was an interview where a jetbrains rep lampooned AI’s impact on SWE. I was an early TabNine user, and was aghast.
A few months later copilot dropped, time passed and now here we are.
It was neat figuring out how I had messed up my implementations. But I would not trade the power of the CLI AI for any *more* years spent painstakingly building products on my own.
It is interesting to see a flip in attitude toward GitHub.
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