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#mysterious

8 posts6 participants1 post today
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ポイズン雷花

宇宙　Простір
何時の時代も人々を魅了して止まない
Він продовжує захоплювати людей протягом століть.

note.com/poison_raika/n/nd0de1

<>

note（ノート）宇宙　Простір｜ポイズン雷花何時の時代も人々を魅了して止まない 夜空に広がる麗しき神秘の世界 他人は、その真実に触れようと見上げる 時には弾圧され、命を脅かされながらも 心の赴くがままにその神秘に挑み続けた やがて、想像を遥かに超える 深く、広い世界で有ると気付く 謎が一つ説ければ、新たに百出現する 最近では地球以外にも存在するかも知れないと 期待を膨らませ、夢を見、探求心を高めてる 宇宙、光と闇が交差し合う無限の大海原 その魅力に取りつかれた人々は空を見上げ続ける <> Він продовжує захоплювати людей протягом століть. Красивий і тає
#continue#fascinate#people
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Mx Verda

my first thought was ooh, that'd be good for mixing paint.
Next are "show them to traditional craftspeople and ask what they'd use them for or how they'd make them" and "period tracker or promise of days until next meeting".

nebula.tv/videos/stefanmilo-eu
youtube.com/watch?v=oYWUXQKUMu

ohhhhh with the snapping, it's like a promissory note or early parentage ID for example.
Count down to wedding, if prehistoric peoples even did marriage?
Good point about "probably not just one purpose" tbh.

NebulaStefan Milo — Europe's Undeciphered Prehistoric Tablets - Enigmatic ArtefactsThe mystery of Europe's undeciphered prehistoric tablets.
#archaeology#history#prehistory
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Hacker News

Deep Learning Is Not So Mysterious or Different

arxiv.org/abs/2503.02113

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arXiv.orgDeep Learning is Not So Mysterious or DifferentDeep neural networks are often seen as different from other model classes by defying conventional notions of generalization. Popular examples of anomalous generalization behaviour include benign overfitting, double descent, and the success of overparametrization. We argue that these phenomena are not distinct to neural networks, or particularly mysterious. Moreover, this generalization behaviour can be intuitively understood, and rigorously characterized using long-standing generalization frameworks such as PAC-Bayes and countable hypothesis bounds. We present soft inductive biases as a key unifying principle in explaining these phenomena: rather than restricting the hypothesis space to avoid overfitting, embrace a flexible hypothesis space, with a soft preference for simpler solutions that are consistent with the data. This principle can be encoded in many model classes, and thus deep learning is not as mysterious or different from other model classes as it might seem. However, we also highlight how deep learning is relatively distinct in other ways, such as its ability for representation learning, phenomena such as mode connectivity, and its relative universality.
#HackerNews#DeepLearning#Mysterious
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