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Back into Plato's Cave: Examining Cross-modal Representational Convergence at Scale
arXiv:2604.18572v2 Announce Type: replace Abstract: The Platonic Representation Hypothesis suggests that neural networks trained on different modalities (e.g., text and images) align and eventually converge toward the same representation of reality. If true, this has significant implications for whether modality choice matters at all. We show that the experimental evidence for this hypothesis is fragile and depends critically on the evaluation regime.
You Don't Love Systemd Timers Enough
Figure 1: Plato's Cave by Jan Pietersz Saenredam; 24 hour clock licensed under CC3 from Wikimedia; systemd logo by the systemd project licensed under CC-BY-SA 4.0 My favorite metonymic technology term is "cron job": even though cron may not literally be the daemon that executes actions on a schedule, we apply the term to anything that walks like a cron and quacks like a cron . As Patrick McKenzie likes to point out, cron jobs are one of the most eminently useful computing primitives. They...
Why sophrosyne, an ancient Greek virtue, matters more than ever in the age of AI
Why sophrosyne, an ancient Greek virtue, matters more than ever in the age of AI Gaby Clark Scientific Editor Andrew Zinin Lead Editor Texting while driving. Bullying people on social media. Buying into the latest conspiracy theory.
One Transit Is All You Need: Detecting Exoplanets Through Learned Stellar Behaviour with EXOVEIL
arXiv:2606.02778v1 Announce Type: cross Abstract: I present EXOVEIL, a transit detection system that learns what a star's brightness should look like and flags when reality disagrees. Unlike existing systems that require phase-folded input, EXOVEIL operates on raw flux time series and can detect planets that transit only once. A Transformer world model, trained on 16,499 Kepler light curves with transit-masked self-supervised learning, predicts expected stellar flux.
One Transit Is All You Need: Detecting Exoplanets Through Learned Stellar Behaviour with EXOVEIL
arXiv:2606.02778v2 Announce Type: replace-cross Abstract: I present EXOVEIL, a transit detection system that learns what a star's brightness should look like and flags when reality disagrees. Unlike existing systems that require phase-folded input, EXOVEIL operates on raw flux time series and can detect planets that transit only once. A Transformer world model, trained on 16,499 Kepler light curves with transit-masked self-supervised learning, predicts expected stellar flux.
Has Trump Corrupted the Military?
Subscribe here: Apple Podcasts | Spotify | YouTubeOn this week’s episode of The David Frum Show, The Atlantic’s David Frum opens with his thoughts about the recently reported peace talks between the United States and Iran. David argues that these reported talks indicate the United States is losing the war in Iran, and that the loss highlights what has always been true: The presidency is too big a job for Donald Trump.Then David is joined by Representative Jason Crow of Colorado to discuss...