Generative AI
The three universally basic IP based elements that make AI work are:
1. patented devices with high computational capability (fast GPUs, quantum, computers, etc.),
2. patented energy technologies (battery/electricity power supply), and
3. copyrighted metadata.
The importance of computational capability has been taken for granted.
Without electricity, the machine won't work. Also, battery accounts for 40% of the total cost of an electric machine, e.g., electric car. For in-house AI applications, the electricity bills of a C-level friend of ours has doubled because of using AI.💰🤑💸
Metadata is an enabler, a digital content, NOT a technology. It's like a treasure map, curated by human for treasure hunting.
Without metadata, NO data can be found/retrieved, even by the most advanced technologies, like AI, quantum computers, etc.
https://lnkd.in/g-aJFnXR
We are using our expertise/IP, a copyrighted multilingual metadata, to do what AI can't do in data analytics NOW.
Do you or any contacts of yours need our expertise/IP? Thanks.
關於 AI 人工智能的一些事實 (Chinese version):
https://lnkd.in/eeVbdcza
Some fact findings about AI (English version):
https://lnkd.in/gwcPNUPP
🔥 𝐒𝐮𝐩𝐞𝐫𝐜𝐡𝐚𝐫𝐠𝐞 𝐘𝐨𝐮𝐫 𝐒𝐤𝐢𝐥𝐥𝐬 𝐰𝐢𝐭𝐡 𝐓𝐡𝐞𝐬𝐞 𝐌𝐮𝐬𝐭-𝐓𝐚𝐤𝐞 𝐀𝐈 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 🔥
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Jerome Sturm’s emphasis on staying true to one's inspiration while leveraging tools like #AdobeFirefly is essential for creatives. Blue Ridge Community College's innovative approach is equipping students with AI-enhanced tools for success. How is your organization using AI to transform creative education?