New art project.
Train and inference GPT in 243 lines of pure, dependency-free Python. This is the *full* algorithmic content of what is needed. Everything else is just for efficiency. I cannot simplify this any further.
https://t.co/HmiRrQugnP
🤩 This magical, mystical scene of a star cluster within a nebula is about 8,000 light-years away. The brightest object in the picture was once thought to be a single star with 200-300 times the mass of the Sun, but @NASAHubble discovered that it's actually two separate stars.
Acquiring knowledge is easy, the hard part is knowing what to apply and when.
That’s why all true learning is “on the job.”
Life is lived in the arena.
Introducing AlphaEvolve: a Gemini-powered coding agent for algorithm discovery.
It’s able to:
🔘 Design faster matrix multiplication algorithms
🔘 Find new solutions to open math problems
🔘 Make data centers, chip design and AI training more efficient across @Google. 🧵
‘AI models are capable of novel research’: OpenAI’s chief scientist
This is more significant than many assume. Because the theory still exists that LLMs cannot develop new ideas that lie outside their training data.
OpenAI's chief scientist, Jakub Pachocki, envisions AI models evolving from assistants to autonomous researchers. These models could soon conduct unsupervised, novel research, revolutionizing fields like software engineering and hardware design.
This shift signifies a leap in AI's role, from data processors to innovators. By autonomously generating hypotheses and solutions, AI stands to accelerate scientific discovery, fostering a future where technology and human ingenuity coalesce for rapid advancement.
ELON MUSK: "Earth only has about 10% more life in it before it gets so hot that life is impossible. So eventually all life on earth will be destroyed by the sun, so we do at some point need to be a multi planet civilization."