Nah, iOS file system is nerfed. You’ll never be able to do any kind of serious professional work as long as that’s the case.
TECHNOLOGY
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From Concept to Market: Why Technology Adoption Takes Decades
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Possible to build doesn’t mean ready to use. It took 30+ years to go from this watch computer in 1984 to the Apple Watch in 2015.
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Educational Institutions Must Adapt Now as AI Reshapes Learning
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Les institutions éducatives doivent s’adapter maintenant. L’IA ne va pas “arriver dans 10 ans” : elle est déjà là, et elle redéfinit en temps réel notre manière d’apprendre, de travailler et de penser. Attendre, c’est laisser une génération entière se former avec des outils du
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India’s AI Initiative: Government Vision for Domestic AI Development
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The key takeaways from Hon'ble Minister @AshwiniVaishnaw 's inspiring address at the ‘IndiaAI- Make AI in India, Make AI work for India’ recent event held in New Delhi on May 30. #IndiaAI #DigitalIndia #AIForGood #CyberSecurity #TechForGood
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EU Commission Strategy to Boost European Startups and Scaleups
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Commission launches ambitious Strategy to make Europe a startup and scaleup powerhouse https://
ec.europa.eu/commission/pre
sscorner/detail/en/ip_25_1350
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#digitaleu #startup #innovation #technology @DigitalEU @elaniazito @ArturHabant @CurieuxExplorer @Shi4Tech @NatSchooler @IanLJones98 @BetaMoroney @sulefati7 -
Epic Quest: GPU Return Journey with Veo3
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a movie about eliezer and liron traveling over half the world, to throw the gpu of power back into the tsmc, while being supported by jaan and max from up high; brought to you by veo3
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AI Programming Languages: Optimizing Code for Model Exploration
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It may be time to develop AI programming languages. Code generation must be optimized for guiding models in exploring solution space and ensuring correctness, not for human comprehension. Code specification must optimize synchronization between human intention and AI
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Language Models Memory Capacity Scaling Laws Physics
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Physics of Language Models: Part 3.3, Knowledge Capacity Scaling Laws very interesting (if somewhat controversial) they declare that models, after visiting data 1000 times during training, can memorize 2 bits/param (they arrive at this number via quantization with AutoGPTQ)
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Knowledge Storage Capacity in Language Model Parameters
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How Much Knowledge Can You Pack Into the Parameters of a Language Model? enter, transformers- in 2020 these folks had a different idea: once "pretraining" is a thing, you can measure the amount of 'facts' that the model 'knows', without training it at all
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RNN Capacity: 5 Bits Per Parameter Storage Empirical Analysis
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Capacity and Trainability in Recurrent Neural Networks this very nice paper from 2016 (!) estimates certain types of RNNs can store 5 bits/param. they find this empirically and measure bits using the entropy of the distribution of class labels