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AI research is "Eating your own dog food" kind of field. It's both amusing and predictable.
Major AI conference flooded with peer reviews written fully by AI nature.com/articles/d41586-025…
"Controversy has erupted after 21% of manuscript reviews for an international AI conference were found to be generated by artificial intelligence. "
How did they find out, you ask? With the help of AI models, of course. "EditLens: Quantifying the Extent of AI Editing in Textmodel." arxiv.org/abs/2510.03154
#ml #science #research #AIResearch #ai
EditLens: Quantifying the Extent of AI Editing in Text
A significant proportion of queries to large language models ask them to edit user-provided text, rather than generate new text from scratch.arXiv.org
Character AI will offer interactive 'Stories' to kids instead of open-ended chat | TechCrunch
The company announced last month that it would no longer allow minors to use its chat features.Amanda Silberling (TechCrunch)
MIT scientists debut a generative AI model that could create molecules addressing hard-to-treat diseases
A new model known as BoltzGen designs protein binders for any biological target from scratch. Developed at MIT, BoltzGen has shown promise for hard-to-treat targets in cancer and neurodegenerative diseases.MIT News | Massachusetts Institute of Technology
RAM prices are so out of control that stores are selling it like lobster
The RAM shortage is forcing stores like Central Computer and Micro Center to sell PC memory at market prices instead of advertising prices.Sean Hollister (The Verge)
When Python runs faster than C++ - you know something’s broken in the Matrix.
Meet Codon - a high-performance Python compiler that turns your code into native machine code, running 10–100× faster than CPython.
✅ No GIL.
✅ Real multithreading.
✅ Even GPU support.
✅ Same syntax, same vibe -
just turbo Python. 🐍💨
If you ever wished Python wasn’t so chill - your wish is granted.
#Python #DevOps #AI #ML #HPC #Performance #Coding
GitHub - exaloop/codon: A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support - exaloop/codonGitHub
