Peeping Tom AI STALKING From Space

Hey there, Dylan Curious here! I wanted to share some fascinating developments in the world of artificial intelligence that I've been following lately.

Did you know that AI might soon be monitoring fish populations from space? NASA administrator Dan Golden said the space industry is basically "in the Dark Ages" when it comes to utilizing AI. But with the right setup, satellites could provide an unprecedented macroscopic view of life on Earth, including tracking fish populations, weather patterns, and even illegal activities. It's an exciting frontier for AI applications.

In other news, the CEO of Anthropic, Dario Amodei, predicts we could reach the AI equivalent of "Defcon 4" - systems that enable militaries in dangerous ways - as early as 2025. It's a sobering reminder of the potential risks as AI capabilities grow at an exponential rate.

Meanwhile, some companies are already pushing the boundaries of what's possible. Like the insect farmers in Thailand using AI to optimize the breeding of black soldier fly larvae as a sustainable feed source. The AI monitors the flies 24/7, tweaking variables to boost productivity in ways no human could. It's a powerful example of AI being used to solve real-world challenges.

Of course, the rapid advancement of AI is raising important questions. Like what happens if a cutting-edge model gets leaked anonymously online? It's a scenario that played out recently with GPT-2, highlighting the need for responsible disclosure practices as AI systems become more powerful.

There's also some wild research happening that I had to share. Like a study showing AI can predict political orientation from a blank face with surprising accuracy. Or how smartphones could become obsolete within 10 years as augmented reality glasses and other wearables take over.

I even took a stab at using AI to generate 3D models myself. The results weren't half bad for a beginner! Though I'm sure the outputs will only get more impressive as tools like Meshey's text-to-3D generator mature.

Finally, I've been geeking out over some fascinating AI alignment research. Techniques like Flame and self-play preference optimization show a lot of promise for making AI outputs more factually grounded and stable.

Anyway, I could ramble on forever about this stuff. But I'll wrap it up here. Hope you found this interesting! Let me know what you think - I'm always eager to hear other perspectives on these topics.

Warmly, Dylan Curious