81–90 of 512 posts
Big companies can be slow to pivot, and Google has been famously bad at getting people aligned and driving in one direction. But, once they do get moving in the right direction the can achieve things that smaller companies can't. Google has an insane amount of talent in this space, and seems to be getting the right results from that now. Remains to be seen how well they will be able to productize and market, but hard…
This naming is confusing... Anyway, I'm glad that this Google release is actually available right away! I pay for Gemini Advanced and I see "Gemini Flash 2.0" as an option in the model selector. I've been going through Advent of Code this year, and testing each problem with each model (GPT-4o, o1, o1 Pro, Claude Sonnet, Opus, Gemini Pro 1.5). Gemini has done decent, but is probably the weakest of the bunch. It failed…
OT: I’m not entirely sure why, but "agentic" sets my teeth on edge. I don't mind the concept, but the word itself has that hollow, buzzwordy flavor I associate with overblown LinkedIn jargon, particularly as it is not actually in the dictionary...unlike perfectly serviceable entries such as "versatile", "multifaceted" or "autonomous"
We’re definitely going to need better benchmarks for agentic tasks, and not just code reasoning. Things that are needlessly painful that humans go through all the time
it's insane on lmarena for a size, livebench should have it soon too I guess
Big companies can be slow to pivot, and Google has been famously bad at getting people aligned and driving in one direction. But, once they do get moving in the right direction the can achieve things that smaller companies can't. Google has an insane amount of talent in this space, and seems to be getting the right results from that now. Remains to be seen how well they will be able to productize and market, but hard…
They haven't wielded this advantage as powerfully as possible, but changes here could signal how committed they are to slaying the search cash cow.
Nadella deservedly earned acclaim for transitioning Microsoft from the Windows era to cloud and mobile.
It will be far more impressive if Google can defy the odds and conquer the innovator's dilemma with search.
Regardless, congratulations to Google on an amazing release and pushing the frontiers of innovation.
Jules looks like it's going after Devin
Any word on price? I can't find it at https://ai.google.dev/pricing
This naming is confusing... Anyway, I'm glad that this Google release is actually available right away! I pay for Gemini Advanced and I see "Gemini Flash 2.0" as an option in the model selector. I've been going through Advent of Code this year, and testing each problem with each model (GPT-4o, o1, o1 Pro, Claude Sonnet, Opus, Gemini Pro 1.5). Gemini has done decent, but is probably the weakest of the bunch. It failed…
To me that reads like it was trying to accomplish something like
int[] current;
while((current = queue.pop()) != null) {Earlier quoted context omitted.
i don’t think they need to win the on device market. we need to separate inference and training - the real winners are those who have the training compute. you can always have other companies help with inference
At what point does the on device stuff eat into their market share though? As on device gets better, who will pay for cloud compute? Other than enterprise use. I’m not saying on device will ever truly compete at quality, but I believe it’ll be good enough that most people don’t care to pay for cloud services.
inference basically does not matter, it is a commodity