Lifeboat Foundation

H100s used to be $8/hr if you could get them. Now there’s 7 different resale markets selling them under $2. What happened?

https://www.youtube.com/watch?v=YC87WmFN_As

SpaceX is preparing the launch of the fifth Starship flight test. The window for the launch opens at 7 a.m. local time on Sunday. The company has confirmed on its website, and X, that it is targeting a potential catch of the Super Heavy test vehicle, if flight parameters allow for it.

Window Opens: October 13th at 7AM CDT (12:00 UTC)
Window Closes: October 13th at 8AM CDT (13:00 UTC)

Continue reading “🔴 LIVE: SpaceX Launches Starship for the Fifth Time (and Tries to Catch a Booster)” »

Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.

Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.

Study uncovered evidence of diverse species living 800 million years ago, revealing early evolution and suggesting life diversified earlier.

A school in Texas is revolutionizing the way students learn by going all-in on artificial intelligence. Its leaders are using the technology to educate students without the help of a traditional teacher. NBC’s Gadi Schwartz reports for TODAY.

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Continue reading “No teachers, no homework: School solely uses AI to teach students” »

Noyron software harnesses the creativity and problem-solving of engineers to design advanced machinery autonomously.

Abstract: We explore the emergence of intelligent behavior in artificial systems by investigating how the complexity of rule-based systems influences the capabilities of models trained to predict these rules. Our study focuses on elementary cellular automata (ECA), simple yet powerful one-dimensional systems that generate behaviors ranging from trivial to highly complex. By training distinct Large Language Models (LLMs) on different ECAs, we evaluated the relationship between the complexity of the rules’ behavior and the intelligence exhibited by the LLMs, as reflected in their performance on downstream tasks. Our findings reveal that rules with higher complexity lead to models exhibiting greater intelligence, as demonstrated by their performance on reasoning and chess move prediction tasks. Both uniform and periodic systems, and often also highly chaotic systems, resulted in poorer downstream performance, highlighting a sweet spot of complexity conducive to intelligence. We conjecture that intelligence arises from the ability to predict complexity and that creating intelligence may require only exposure to complexity.

From: Shiyang Zhang [view email].

Gen AI models aren’t just good for creating pictures—they can be fine-tuned to generate useful robot training data, too.