AI will likely replace all other interfaces for applications. One frontend interface that you chat or speak to which distributes to backend AI's and other applications or services.
After all these years of attempting decentralization, AI will likely be the era of centralize everything again.
Agreed. I've been likening it to Web 2.0 in the 2000s where all of a sudden it was possible for websites and web applications to dynamically orchestrate multiple data sets and applications in real time via APIs. But now instead of all that being ultimately driven by (a lot of) human user input via web browsers, it can be driven by AI agents.
Despite the obvious benefits to user input efficiencies, I do have concerns about the centralization which will likely lead to an even greater techno oligopoly.
I expand on that and many other concerns in more detail than I can write here in the event you might be interested. Would be interested in your feedback.
That's a really interesting post! Thanks for linking. I'll link out to it in my next post. I didn't do it for my first post, but I'm planning on including "interesting links" with my posts. Very interesting point about AI dominance and stagnation. I was thinking about the same thing. Hopefully we are not entering an endless "echo chamber" of thought where AI just iterates over and over the same fixed body of knowledge, art, opinion, etc.
Thanks! yes, I fear that AI might break the feedback loop. There are 2 concerns, that AI might simply be using AI generated content for its own input in the future and that there will be less human generated content in areas where AI becomes dominant.
It is like at some distant point, society is on auto pilot, something breaks and nobody actually knows how to fix it. I'm sure this would make a great premise for a dystopian scifi. Ironically, I'm sure ChatGPT could probably write it :-)
Reading this brought me true joy - it's SO true that we have been living in the stone age of technology...
To me, it seems like the change will come from the combination of (1) consumer empowerment driven by newfound agency to set individual data preferences and demand transparency to see how their data is being used --> elevating brand trust and devoted, earned loyalty (2) companies advancing data hub migration and configuration systems to adapt to these consumer preference selections --> working collaboratively, in a knowledge-sharing and problem-solving mindset to navigate the biases that come with training artificial intelligence and LLM models --> leading to continuous improvement and delivery of highly personalized, contextual marketing promotions (3) expansion of a globalized market of win-win-win situations due to zero, first, and second party data opening the door to understand user behavior through a data-driven lens that has not been explored before; example: a brand retailer can form a partnership with Amazon to better understand how its customers behave on Amazons website to create strategic plans that deliver the most value-add benefits to its end-consumer -- this would NOT infringe customer privacy, the insights would be generated using mock customer groups (cluster groups) based on the selections of the real customer base (using PII, UUIDs, fuzzy control logic, and other mechanisms to anatomize the specific consumer and create a generalized comparison group that is statistically relevant and reflective of the real-life customer group) --> result is an new era of personalization, one-to-one marketing, accountability & transparency + how our data, if shared in a secure way, could create a path towards global peace, given all foundational regulations and protocols in place, sharing data that is not tied to a direct individual serves the company, the customer, merchants/vendors & suppliers, and other market participants and awakens the potential for economic growth and prosperity, not limited few, but built to be accessible by many.
AI will likely replace all other interfaces for applications. One frontend interface that you chat or speak to which distributes to backend AI's and other applications or services.
After all these years of attempting decentralization, AI will likely be the era of centralize everything again.
Agreed. I've been likening it to Web 2.0 in the 2000s where all of a sudden it was possible for websites and web applications to dynamically orchestrate multiple data sets and applications in real time via APIs. But now instead of all that being ultimately driven by (a lot of) human user input via web browsers, it can be driven by AI agents.
Despite the obvious benefits to user input efficiencies, I do have concerns about the centralization which will likely lead to an even greater techno oligopoly.
I expand on that and many other concerns in more detail than I can write here in the event you might be interested. Would be interested in your feedback.
https://dakara.substack.com/p/ai-and-the-end-to-all-things
That's a really interesting post! Thanks for linking. I'll link out to it in my next post. I didn't do it for my first post, but I'm planning on including "interesting links" with my posts. Very interesting point about AI dominance and stagnation. I was thinking about the same thing. Hopefully we are not entering an endless "echo chamber" of thought where AI just iterates over and over the same fixed body of knowledge, art, opinion, etc.
Thanks! yes, I fear that AI might break the feedback loop. There are 2 concerns, that AI might simply be using AI generated content for its own input in the future and that there will be less human generated content in areas where AI becomes dominant.
It is like at some distant point, society is on auto pilot, something breaks and nobody actually knows how to fix it. I'm sure this would make a great premise for a dystopian scifi. Ironically, I'm sure ChatGPT could probably write it :-)
Reading this brought me true joy - it's SO true that we have been living in the stone age of technology...
To me, it seems like the change will come from the combination of (1) consumer empowerment driven by newfound agency to set individual data preferences and demand transparency to see how their data is being used --> elevating brand trust and devoted, earned loyalty (2) companies advancing data hub migration and configuration systems to adapt to these consumer preference selections --> working collaboratively, in a knowledge-sharing and problem-solving mindset to navigate the biases that come with training artificial intelligence and LLM models --> leading to continuous improvement and delivery of highly personalized, contextual marketing promotions (3) expansion of a globalized market of win-win-win situations due to zero, first, and second party data opening the door to understand user behavior through a data-driven lens that has not been explored before; example: a brand retailer can form a partnership with Amazon to better understand how its customers behave on Amazons website to create strategic plans that deliver the most value-add benefits to its end-consumer -- this would NOT infringe customer privacy, the insights would be generated using mock customer groups (cluster groups) based on the selections of the real customer base (using PII, UUIDs, fuzzy control logic, and other mechanisms to anatomize the specific consumer and create a generalized comparison group that is statistically relevant and reflective of the real-life customer group) --> result is an new era of personalization, one-to-one marketing, accountability & transparency + how our data, if shared in a secure way, could create a path towards global peace, given all foundational regulations and protocols in place, sharing data that is not tied to a direct individual serves the company, the customer, merchants/vendors & suppliers, and other market participants and awakens the potential for economic growth and prosperity, not limited few, but built to be accessible by many.