Google Brain, and by extension the Transformer model (~which is the T in GPT~ my bad, it's Generative PreTraining, not General Purpose Transformer), and TensorFlow.
Waymo, which is rolling out robotaxis in a few places.
Not sure which department or subsidiary is responsible for their TPUs, the Sycamore 53-qbit quantum processor, or LaMDA.
Waymo so-far has been, until the last few months, unable to make regulators happy. Even then, the tech doesn't actually solve many of the original goals. Robotaxi's do not improve traffic, their solution is not environmentally friendly, and the payoff is still unclear, it is an uphill battle. The division loses incredible amounts of money, all while having trouble making good mindshare and when it does, for the wrong reasons.
Tensor is a great contribution...and don't get me wrong, I love OSS...but you can't just make an open framework and say 'Boom, product!' At most it makes for some new avenues for Web Services but not in a wide way that is highly profitable. In this regard, Microsoft's 1B investment in OpenAI and then just capitalizing on it is hilariously good value.
DeepMind is a news article system, sadly, despite incredible work by their team, Google has almost made it the butt of the joke: "We used Deepmind to personalize play store ads!". One day they might find a way to monetize it effectively, so far, it's kinda just like Google's IBM Watson problem: Market it to solve big data problems, actual impact ends up being unclear.
Waymo, ok, I don't live in that area. How can I try any of the other projects you listed?
Not sure if OpenAI and with the release of chatgpt has fully implemented their own call for responsible ai
pip install tensorflow
https://cloud.google.com/tpu/docs/tpus
Most of what I listed is groundbreaking research, not consumer stuff. For the consumer stuff, try e.g. searching images by description in the default Android app, or Google Translate, or the automated transcriptions on YouTube. Apple also does similar things, as stuff like that is what consumer AI looks like these days.
But I have an opinion on Google translate. From my experience, it is not clearly leading in comparison to other tools by smaller companies.
If Google is leading in AI, why don't they have any clearly leading consumer products in this area?
For machine translation, they used to be clearly leading, then deepl arrived and I think they are roughly on par (or maybe deepl is better, but also has fewer languages). Do you have other companies in mind?
As mentioned above, in research they have some great results, translating those to products is not always straightforward of course - or even possible.
It is true, however, that TensorFlow is now considered outdated, with pretty much all the community switching to PyTorch (originally developed by Facebook, now handed over to the Linux foundation). But indeed these are not really products (i.e. they don't bring in the money they cost, by far), more like open source projects.