Why chatgpt and LLMs are the pinnacle of a sharing economy
First of all, what is a sharing economy??
An economic system in which assets or services are shared between private individuals, either free or for a fee, typically by means of the internet.’
The Internet was invented in the 90s but really started taking off in the late? 90s.
Now let’s recap which ‘assets’ or services have been shared.
We have to start from 谷歌 or search engines which allow us to share and search all possible information available (democratised information).?
Connection and information between humans was shared across the advent of Social Networks (from MSN/Myspace to TikTok ).
Socials and search engines are related to ‘intangible’ assets (information).
Then there was Uber and the wave of ‘Uberising solutions’ which allows sharing of vehicles or services (like Upwork for the creative/software industries).??
These solutions are related to tangible assets (cars etc.) and services (software development etc.).
Blockchains and IOTs contributed to share mostly intangible assets too.
Now all these plethora of technologies and solutions still allow us to share various forms of information and increasingly more towards ‘knowledge’ i.e. processed information tailored to a specific question.
And what is the most advanced form of knowledge as an intangible asset? Abstract reasoning.
And that’s exactly what OpenAI is doing. Asking ChatGPT questions, the model gives you the access to the most appropriate reasoning (and increasingly abstract reasoning) to apply to your problem. Through a vast set of data, knowledge and information, an LLM extracts patterns of reasoning regardless of the specific problem so that it can present to you when the pattern matches.
OpenAI has democratised patterns of reasoning. An increasingly abstract reasoning too.
Sharing abstract reasoning and knowledge regardless if you are in Kabul or New York: you have access to both how a law firm reasoned about a special case, the style of an artist in Jakarta or the software structuring of a Finnish public repository. All reasoning is the corpus of an LLM.
And you can’t get more intangible than that. You can't even see abstract reasoning patterns, like you see a picture in the blockchain or a text: you know the style of Picasso paintings or Eminem music but you can't just represent the style.
Of course, embedded in this sharing knowledge economy there is the inherent problem: nobody owns any intellectual idea/style.?
And yet you and I can share all of this.
#ai #artificialintelligence #innovation #business #technology
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7 个月Interesting - coffee tomorrow sorted Dr Andrea Isoni
Senior Managing Director
7 个月Very Informative. Thank you for sharing
Founder
7 个月Great post. However, I would state a caveat to this, because as we are seeing in many stories of heavy bias in LLM responses to prompts (such as erasing white people from results, or modifying AI art results to a prompt seeking "nazi soldiers" and producing pictures of blacks, chinese, and other non-aryans in uniform as somehow sanitizing history, or the inability of Google Gemini to properly gauge the relative morality of Elon Musk misgendering someone versus Hitler genociding 6 million jews), the heavy leftist and anti-white bias of the people on the teams creating LLMs creates a broad breach of trust of LLMs "abstract reasoning" abilities and instead presents an ominous picture of a future where LLMs are an Orwellian Ministry of Truth erasing, ideas, opinions, facts, people and whole ethnicities from the body of human knowledge to fit a leftist political agenda.