I filled a patent in France. That was denied by the French office as being a conceptual method More than an invention. I accepted that decision. But there is a completely unexpected side effect, explained to me by a patent advisor. I probably now can oppose that nullified patent to any patent that would implement a version of that conceptual method. Not sure of the reality of that statement, but that’s a funny backfire.
it makes perfect sense. inventions implementing some abstract concept thats already known with prior art (like your rejected patent) cant really count as novel.
otherwise an evil law firm could spam adaptations of your idea to every relevant industry and get rights over your invention without your consent. that would be a complete perversion of what the patent system is supposed to do.
Google will win the AI war. I really don t see how things can be different. The true question is how much the involvement of Sergei Brin will have been a major part of that win.
[but now that I work in a big corp, I can understand how one smart guy saying “shut the f..k up, managers. I show the path” can be extremely disruptive in those kind of environments. For the better!]
In my personal experience, Gemini seems to have the best image editing and creation capabilities but when it comes to coding, Claude is my favorite. However, Claude is slow and errors out for me often. Grok is also very good when it comes to coding but I seek to run into their rate limits much easier, so I don't use it.
Subjectively, OpenAI's image generation is the only one that consistently works for me and renders what I describe in the way I describe it at an acceptable level of quality. I don't understand how NB gets so much credit compared to what OpenAI is offering.
My comment regarding Google victory was not related to the merits of its current tooling. But to me, it is the only company with already established cash cows. and its speed of adaptation shows that it is not left behind for very long by competitors in delivering state of the art LLM models.
JSON and CSV [and a massive amount of custom-made spaghetti code] gave the impression that semantics was totally unnecessary in dataflows. Now that we live in a world where dataflows build themselves, we will need a description language that is much more robust.
Probably generated from chatbot interactions, but formally defining how the consumer can discover content and mix them.
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