> No results found for "digiatl". Did you mean to search for "digital" instead?
So, in the sense that the funding (aims to) comes from larger companies, you are correct. It's not VC, but it does seem like it could end up relying on payments from large companies, making it potentially vulnerable.
[0] https://searchmysite.net/pages/about/#search-as-a-service
[0] "Advertising funded search engines will be inherently biased towards the advertisers and away from the needs of consumers", to quote Sergey Brin and Lawrence Page in their "The Anatomy of a Large-Scale Hypertextual Web Search Engine" paper from 1998.
An LLM model is loaded. What does the LLM model add to the solution?
Also some great quotes from 30 years ago, e.g. Carl Sagan's "when awesome technological powers are in the hands of the very few" the nation would “slide, almost without noticing, back into superstition and darkness". But did it actually have to end up this way? And is it still possible (with enough collective will power) to push Big Tech profiteering back enough to deliver some of the society enhancing changes originally envisioned in the mid-1990s? Just as it took decades for the full positive implications of the invention of the printing press to come to fruition, perhaps we still need more time before we decry the internet as a net negative?
Today's named bots: GPTBot => 726, Googlebot => 659, drive.google.com => 340, baidu => 208, Custom-AsyncHttpClient => 131, MJ12bot => 126, bingbot => 88, YandexBot => 86, ClaudeBot => 43, Applebot => 23, Apache-HttpClient => 22, semantic-visions.com crawler => 16, SeznamBot => 16, DotBot => 16, Sogou => 12, YandexImages => 11, SemrushBot => 10, meta-externalagent => 10, AhrefsBot => 9, GoogleOther => 9, Go-http-client => 6, 360Spider => 4, SemanticScholarBot => 2, DataForSeoBot => 2, Bytespider => 2, DuckDuckBot => 1, SurdotlyBot => 1, AcademicBotRTU => 1, Amazonbot => 1, Mediatoolkitbot => 1,
I don't think this is true for many people.
The best example is the movie industry. Hollywood was using AI (in the form of convolutional neural networks mostly) a decade ago to produce CGI effects for film. The younger versions of the actors in Captain America: Civil War (2016) was basically done with AI. No one outside of movie effects and CGI nerds really cared. They just enjoyed the film because the AI was done well.
When AI is done really well you can't tell. It's similar to good design. If something is designed well you don't notice. You only ever see bad design. Same for AI, you only see it when it's bad.
(Someone will now reply to say they thought the effects in Captain America were terrible, obviously. :) )