If you use Haiku, it's quite cheap, probably under 50 cents for a book. Opus is much more expensive.
ECONOMY
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Rick Rubin Podcast: Internet Economics, Open Source, Blockchains
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I recently went on Rick Rubin’s podcast. We got to talk about: – internet history
– little tech vs big tech
– internet economic models
– composability & open source software
– blockchains & tokens
– software as art And much more. You can listen here: -
Crypto Wars Lost: Surveillance Advertising as AI Foundation
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My @NDSSSymposium keynote is up! On how we lost the crypto wars, why surveillance advertising must be understood as the foundation of "AI", & why the tactics of the past won't serve us in defending privacy today. Text: https://
signal.org/blog/pdfs/ndss
-keynote.pdf
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Stable Audio 2.0 trained on licensed music with creator compensation
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@stableaudio 2.0 was exclusively trained on a licensed dataset from the @AudioSparx music library, honoring opt-out requests and ensuring fair compensation for creators. (3/3)
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Gemini 1.5 Pro pricing makes Claude Haiku vastly superior
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Gemini 1.5 Pro pricing is out. Claude Haiku is 28x cheaper. Very few reasons to use 1.5 Pro at this price.
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AI Impact Beyond Technology Advancement: Integration Over Innovation
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These questions focus too much on technology. AI technology does not need to advance in order to be a big deal The early data on law, medicine & business use show impact. Even if development stopped on LLMs now, we would have 10 years of integrating GPT-4 class models with work.
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Amazon Just Walk Out: Hidden Human Labor Behind Automated Checkout
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“Though it seemed completely automated, Just Walk Out relied on more than 1,000 people in India watching and labeling videos to ensure accurate checkouts.”
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Profit-Driven Actors Exploiting Commons: Economic and Ethical Concerns
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Ah, yes. So the pillaging of the commons by profit-motivated actors. That was certainly another pathology here, in addition to people having no home training.
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AI adoption curve accelerating despite early technology stage
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Also, this is a really fast adoption curve for a technology that is, for most people, 16 months old. Just not a lot of support for the idea that AI use is topping out, though I would like to see more about usage over time trends.
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Generative AI in Insurance: Understanding the AI Machine
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Generative #AI in insurance: How should we see the AI machine?
by Pravina Ladva @antgrasso @SwissRe Read more: https://
buff.ly/3TppPvp #Finance #BigData #ArtificialIntelligence #Digital cc: @karpathy @ravikikan @patrickgunz_ch