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AI & Tooling
62 posts
Why Erdős Problems Are Falling To AI
AI systems are increasingly solving longstanding Erdős problems, transforming how mathematicians approach complex conjectures and proofs.
The Entropy Of A Markov Chain
Researchers have developed a novel approach to measure the entropy of Markov chains, with implications for information theory and machine learning.
When AI Benchmarks Plateau: A Systematic Study Of Benchmark Saturation
Research reveals AI benchmarks are reaching saturation, raising concerns about the future of AI progress and evaluation methods.
The Dunning-Kruger Effect May Just Be A Data Artefact (2020)
Research indicates the perceived cognitive bias might result from data artifacts rather than a genuine psychological phenomenon.
Autoregressive Language Model On The 6502 Processor
A developer has successfully implemented an autoregressive language model on the vintage 6502 CPU, demonstrating AI capabilities on legacy hardware.
F*: A General-purpose Proof-oriented Programming Language
F* is introduced as a general-purpose, proof-oriented programming language designed for formal verification and security-critical applications.
Ten Advances In Mathematics And Theoretical Computer Science
A review of ten recent significant advances in mathematics and theoretical computer science, highlighting confirmed developments and their implications.
Demystifying DRAM Read Disturbance: RowHammer And RowPress Phenomena
Explains the phenomena of RowHammer and RowPress in DRAM, their impact on memory security, and current research status.
Is AI Reasoning Right For The Wrong Reasons?
Experts question whether AI reasoning is based on correct logic or flawed assumptions, raising concerns about reliability and trustworthiness.