What is this thing we call Fancy Milk?
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You may have seen at Outpost Coffee Roasters we carry Sheldon Creek Dairy milk, which we have named 'fancy milk' or 'raw milk' (as close to raw as you are legally allowed here) this rich milk is perfect for making your flat white or cortado much creamer. Sheldon Creek milk is non homogenized, leaving milkfat globules intact to carry important nutrients like Vitamins A & D to the body. The Sheldon milk is enzyme-rich due to their pasteurization process, in which they heat the milk to 73 degrees celsius for just 16 seconds. These enzymes are crucial for digestion, as they assimilate nutrients into the body. This flash pasteurization process kills harmful bacteria, without harming enzymes. Since the milk is left in its natural form any people who have had issues drinking milk or milk allergies have been able to drink Sheldon Creek's milk!
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Thought (Virtual Consciousness): ‘The patient was working on the subject of AI creativity. Back in the 2020s, he proposed an AI configuration (let’s call it SAI) built from thousands of highly specialized, compact AI models trained on ideal (absolute) datasets. Such Super AIs can be flexibly configured: if knowledge of ballet or geography isn’t needed, the corresponding compact AIs are simply deactivated. Crucially, the system’s overall accuracy remains unaffected. These SAIs integrate well with distributed AI chains. But that’s not all. The patient managed to develop a highly balanced AI creativity system. In principle, almost all its components had already been tested and were known. He, too, utilized a dual-AI system: one acting as a “super-hallucinating” idea generator (creativity), and the other as a filter or arbiter that selects sensible, feasible ideas. The patient introduced innovations for both AIs. First, both AIs are Super AIs composed not of neurons, but of micro-AI models trained with high precision for specific tasks. For the idea generator, this allows for the creation of “creative noise” not at the level of neuronal weights, but at the level of micro-AI vectors, images, and objects. For the AI arbiter (selector), this enables the parallel evaluation of multiple generated ideas (high throughput) and extremely high assessment accuracy (especially when using multiple pass cycles).’ Jett: ‘How did it work in practice?’ Thought: ‘On its very first attempt, his SAI model proposed a metamaterial for Transition Points and suggested several avenues for its creation. That was the moment it caught the attention of Central Command.’
‘Mission Oflameron’ https://huggingface.co/datasets/Oflameron/sci-fi-Synopsis/viewer
https://www.tumblr.com/blog/sci-fi-screenplay
https://www.tumblr.com/sci-fi-screenplay/828729278310023168/mission-oflameron-synopsis?source=share
https://docs.google.com/document/d/1tRtww3IP1Nr-tjYqqlWlO9HFhgWW77i8clAwxKzOaSs/edit?usp=sharing
Thought (Virtual Consciousness): ‘The patient was working on the subject of AI creativity. Back in the 2020s, he proposed an AI configuration (let’s call it SAI) built from thousands of highly specialized, compact AI models trained on ideal (absolute) datasets. Such Super AIs can be flexibly configured: if knowledge of ballet or geography isn’t needed, the corresponding compact AIs are simply deactivated. Crucially, the system’s overall accuracy remains unaffected. These SAIs integrate well with distributed AI chains. But that’s not all. The patient managed to develop a highly balanced AI creativity system. In principle, almost all its components had already been tested and were known. He, too, utilized a dual-AI system: one acting as a “super-hallucinating” idea generator (creativity), and the other as a filter or arbiter that selects sensible, feasible ideas. The patient introduced innovations for both AIs. First, both AIs are Super AIs composed not of neurons, but of micro-AI models trained with high precision for specific tasks. For the idea generator, this allows for the creation of “creative noise” not at the level of neuronal weights, but at the level of micro-AI vectors, images, and objects. For the AI arbiter (selector), this enables the parallel evaluation of multiple generated ideas (high throughput) and extremely high assessment accuracy (especially when using multiple pass cycles).’ Jett: ‘How did it work in practice?’ Thought: ‘On its very first attempt, his SAI model proposed a metamaterial for Transition Points and suggested several avenues for its creation. That was the moment it caught the attention of Central Command.’
‘Mission Oflameron’ https://huggingface.co/datasets/Oflameron/sci-fi-Synopsis/viewer
https://www.tumblr.com/blog/sci-fi-screenplay
https://www.tumblr.com/sci-fi-screenplay/828729278310023168/mission-oflameron-synopsis?source=share
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https://id.carousell.com/p/fgjerrwdfzsxv-1464015983/
http://imagej.273.s1.nabble.com/seresdv-td5106919.html
https://www.pixiv.net/en/artworks/150089868
https://notes.io/eMzuG
https://glot.io/snippets/hmm94jqolm
https://paiza.io/projects/og-ItJM_fcgCp38YrDJzkQ
https://wokwi.com/projects/476125575958397953
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