i hope you realize how lame you sound

At my parents house and my dad just showed me this photo of me and my sib 🥹Im such a little sister. To this day. Little sister behavior.

Probably half going straight to nvda

Power is of two kinds. One is obtained by the fear of punishment and the other by acts of love. Power based on love is a thousand times more effective and permanent than the one derived from fear of punishment. - Mahatma Gandhi

so many threads full of arguments lately

tf going on lol

GN

Start with why.

— Simon Sinek

#IKITAO

Long weekend. Busy weekend. Always forward.

Goodnight and wabi sabi, Nostr. 🫂💜🤙🏻

Aw thank you! 😊 I love hearing how people view my drawings. It really makes it worth it for me.

I really liked this little cafe. I hope it brought nice memories for you not bad ones 😅

This one frustrated me. I just couldn't get the colors right. Oh well. The important thing is to actually do it even if you're not feeling it.

#dailypainting #sketchstr #paintstr #artstr #sketch #art #paint #pen

Most folks don't love security theater & everyone has had a bad time at a screening checkpoint.

So, let's think for a second about hypothetical private-#TSA companies.

I'd expect them to gravitate towards AI-assigned individual risk ratings to minimize the cost of hiring & training people to interact with travelers.

To create ratings, I'd expect them to demand & consolidate invasive pools of our biometrics, web browsing, commenting, purchasing, movements & private lives.

Just don't call it a "social credit score"

You can bet they'll pivot to trying to monetize their data.

2026: We're a terminal security company

2029: We're a person rating company

Would these ratings make their way into other parts of our lives & things we want to visit?

And who exactly would stand up for us when the ratings are wrong? Or our data is shipped to foreign buyers.

Who holds #PrivateTSA companies accountable? The US doesn't have strong #privacy protections...

I'm also not optimistic about private sector security companies' ability to stop breaches. History backs me up here.

But I do expect that private-TSA companies could use lobbying to limit oversight & accountability.

That's been the history of other privacy-invasive tech companies.

So, as an airline security privatization conversation kicks off, remember that it can't just be "current thing is bad" but needs to consider what kind of future we're inviting in.

A new frontier in AI research focuses on incorporating more human evaluation to critically assess the performance of AI models, ensuring they meet real-world effectiveness despite surpassing standard benchmarks.

I had an interesting conversation at a friend’s birthday party with a few folks who were professionals but had been unemployed and looking for work for a while. I pointed out that with AI rapidly improving, many of the jobs that have been cut likely aren’t coming back.

They dismissed AI entirely as just a cheap imitation. Their experience was limited to trying ChatGPT over a year ago and seeing some clumsy early attempts by the New Zealand government to use AI. For them, that was enough evidence to label the whole field as an overhyped, short-lived scam.

It shocked me because, from my perspective, AI has been advancing incredibly quickly. I use these tools regularly in my work, and with a bit of focus on learning them properly, these emerging large language models (LLMs) are truly transformational. On top of that, innovation is accelerating rapidly, making AI both smarter and more accessible.

I’m not sure if we’ll reach AGI or ASI anytime soon, but it’s clear to me that society and our economy will be fundamentally transformed by AI.

This conversation reminded me just how much of a bubble technologists can live in. We see AI’s potential clearly and understand how quickly things can spread once they reach a tipping point. But most people probably won’t believe this transformation is real until it’s already underway. Instead of traditional economic institutions adapting their ways of working to integrate AI, we’ll likely see new institutions and methods emerge to replace the legacy systems entirely.

I’m genuinely concerned about how our economy will cope with the decoupling of work from primary economic systems. And when I think about how to spend my time while waiting for even more powerful AI tools—beyond just experimenting in my own work—I’m uncertain. Part of the answer seems to be designing new systems from the ground up around AI, and also continuing to tell people that AI isn’t just a passing trend.

This situation isn’t fundamentally different from what happened with Web 2.0 platforms like Twitter. The core human needs remained the same, but new technologies changed how we fulfilled those needs. Twitter didn’t replace our desire to stay connected with friends; it just made it faster and broadened our definition of who could be a “friend.”

So, looking forward, I think we need to ask ourselves: what would an AI-native version of everything we currently use look like? Most people and institutions won’t adapt—they’ll more likely be replaced. Does that mean we should just rush headlong into replacing everything with AI-driven alternatives?

Trump seems obsessed with William McKinley and his use of tariffs and has completely ignored the monetary standard in place at the time. Bastiat knew what was up

Your body is yours. Listen to it, love it, and build it up so when you look in the mirror you are your own body goals.

You are responsible for the way you feel about yourself.

writing an organisation structure analysis for uni

what y'all up to?

“Live as if you were to die tomorrow. Learn as if you were to live forever.” —Mahatma Gandhi