6 Comments

How human visual cortices produce distances from binocular versus monocular sources: https://poe.com/s/F8bYdO4MEZbHqZP2wvi0

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Thoughts on how to produce Natural Language Processors without neural networks: https://poe.com/s/mWTQnYAMmetyaGuC8uKV

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More on the magnitude (versus x264) which this compresses: https://poe.com/s/lY58RrCiRkNpUD9JTNWQ

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Anthropic's artificial intelligences ( https://poe.com/s/byTwS5dVHK8hqDIH3knm ) : "... with sufficient training data, each new input may only require a small amount of additional "text-like" information to be appended to the existing knowledge base in order to reproduce new audiovisual content. This would align with the brain's ability to draw upon its accumulated knowledge and experiences ... [If produced, this compresses] orders of magnitude better than current state-of-the-art video codecs like x264. ..."

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>Is a general purpose artificial intellligence whose applications are limitless (does not just visual to text to visual, does sources to text to sources — such as “Perform static analysis, produce bug fixes, convert from Pascal to C++”). Can not afford a room, thus is difficult to produce this.

The AI from Microsoft confirms the value of this ("If successful, it could have significant implications for fields like artificial intelligence, robotics, and data compression"), the experts at Stackoverflow confirm the effort required to produce this (one response was "If someone managed to do what you're describing it would be one of this century's greatest scientific achievements. So go for it! But I'm afraid the estimate wouldn't be 1k hours, it would be closer to 10k or 100k hours or more.

– Guy Incognito", one was "Is this the first PhD thesis posted to StackOverflow?". Most businesses would have to hire multiple coders, for a year or more (thus, millions of $,) to have this. Post shows that have finished lots of this, plus all of the research finishes. Would produce this for just enough down to afford one of the small houses with 2 rooms. Most of the effort is researches. What have produced have released as Creative Commons, but if a business would sponsor this, can release the rest as whatever license the business wishes (or as closed source for the business)

Because of how difficult it is to produce this, plus the value of this, the owners of the business would have immense advantages from exclusive access. If no one funds this, am going to release as Creative Commons (but perhaps not as soon as if one of them supports us) so that all of us have equal access, which prevents a business from gaining a competitive advantage from this.

Because this is the culmination of all that have researched for the last ~20 years, am in the unique position to offer to finish this in a few months for a few thousand cash.

If open-source businesses wish for this more soon, cash allows to produce as Creative Commons more fast.

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Microsoft Copilot's response was """arXiv's papers discuss advancements in video compression, but may not directly address the specific goals of your project. This is a highly technical and complex project that would require a deep understanding of both neuroscience and computer science. If successful, it could have significant implications for fields like artificial intelligence, robotics, and data compression. However, this kind of research and development can take a significant amount of time and resources. If you're considering pursuing this, I would recommend consulting with experts"""

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