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- 1MrBeast says he spends millions reverse engineering platform algorithms●MrBeast 'spends millions reverse engineering the algorithms on each platform'
YouTube star MrBeast told billionaire Mark Cuban that he spends millions of dollars reverse engineering the algorithms on each platform so he never runs out of ideas. The revelation, made during a conversation with Cuban, highlights the extreme lengths the creator takes to maintain his dominance online, treating video production more like a data-driven business than entertainment.
- 2Filippo Valsorda sets out post-quantum cryptographic best practices●(Post-Quantum) Cryptographic Right Answers
Cryptography engineer Filippo Valsorda has published guidance on the right answers to adopt as systems move to post-quantum cryptography, laying out which algorithms and design choices practitioners should back. The piece is drawing attention from developers and security engineers weighing how and when to migrate encryption ahead of quantum threats.
- 3Scrutiny of OpenAI's faster Fourier transform claim●A look at the math that OpenAI claims computes faster Fourier transforms
A detailed examination of the mathematics behind OpenAI's claim that its models can compute faster Fourier transforms is drawing attention. The analysis assesses whether the claimed speedups hold up under scrutiny and what they actually mean for algorithmic discovery, with readers debating the significance and validity of OpenAI's assertions.
- 4New series explains classic named algorithm problems▼In der Serie "Named Problems" stelle ich dir klassische, namentlich bekannte Algorithmus-Probleme vor, die seit Jahrzehn
A software developer has launched a series called "Named Problems" introducing classic, eponymous algorithm problems that have been used for decades in education, university study and job interviews. Early instalments cover well-known exercises like FizzBuzz, the Towers of Hanoi and the Sieve of Eratosthenes, explaining each problem in accessible terms. Commenters appear to appreciate the refresher on fundamentals that remain staples of technical hiring.