Archives: Bookmarks
Runway Research | Introducing Act-One
Roblox: Inflated Key Metrics For Wall Street And A Pedophile Hellscape For Kids – Hindenburg Research
The title sums it up pretty well.
GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models – Apple Machine Learning Research
Furthermore, we investigate the fragility of mathematical reasoning in these models and show that their performance significantly deteriorates as the number of clauses in a question increases. We hypothesize that this decline is because current LLMs cannot perform genuine logical reasoning; they replicate reasoning steps from their training data. Adding a single clause that seems relevant to the question causes significant performance drops (up to 65%) across all state-of-the-art models, even though the clause doesn’t contribute to the reasoning chain needed for the final answer.
Liquid Neural Networks | Ramin Hasani | TEDxMIT – YouTube
A good explanation of LLM limitations in addition to a possible future path with liquid neural networks
Luddites Win
It’s all supposed to be some sort of “life hack” – except nothing is getting easier or better; we’re not happier. Everything’s just getting more hackneyed, more hurried, more chopped up and garbled and shredded. We can feel it. Everyday everything is more and more fragile, more and more precarious.
Interview series on risks from AI – LessWrong
In 2011, Alexander Kruel (XiXiDu) started a Q&A style interview series asking various people about their perception of artificial intelligence and possible risks associated with it.
HarmonyCloak
By embedding imperceptible, error-minimizing noise into the music, HarmonyCloak effectively prevents AI systems from extracting meaningful patterns, all while preserving the perceptual quality of the music for human listeners.
AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference: Narayanan, Arvind, Kapoor, Sayash: 9780691249131: Amazon.com: Books
Claude | Computer use for coding – YouTube
IT’s weird to think about the efficiency of the process with stuff like this. We build the GUI, mouse, etc. to let humans avoid the code and interact with computers. Then, with this, we have computers translate those same things . . . to interact with computers. It seems interesting but misguided.