legel

For anyone in AI, this reads like someone starting a new company called Google

Very very warm nostalgic fuzzy feelings here

I've been using Google Workspace for over a decade. Historically, after removing a user from your organization, it was always easy to migrate their data (e.g. Google Drive folders) to your own user. Suddenly, I recently had a nightmare experience where I needed to remove users no longer in my company, but I was unable to save their very important data. Google intentionally removed the feature in order to promote their new "Archive" user feature, where "data is safe" and you pay for it at continued unnecessary, extortionist rates.

Separately, I just had another terrible interaction with my own data through Google Labs Flow. That is the site that is serving the latest Nano Banana image and Veo video generations. My takeaways on the quality and value and issues with those "world models" are for another time. Here I'm pointing out another unique "dark pattern" that product managers seem compelled to apply: "if you want us to save your data in a database, then you have to let us view that data and train models on it". It's ridiculous, either I can have my data automatically deleted and have sessions be completely "dumb", or I can submit my soul for eternity and "allow any reviewer to analyze".

Beware, founders and developers relying on Google. Don't be surprised if you wake up with your data held hostage. Don't be surprised when you realize your intellectual property can either be deleted or stolen, but not simply saved.

Thanks Google.

Once upon a time, the "stupid hazing ritual" made sense.

Now it means company is stupid.

One could use any number of LLMs on real-world problems.

Why are we still interviewing like its 1999?

I happen to have a background at this interface as well, as the founder of DeepEarth and Ecodash.ai. I can tell you that I would greatly value such experience in collaboration, although I am not currently hiring. While having such a specific interdisciplinary niche can feel limiting, I also see it as a potential superpower in excelling in a very important domain. I'll also add that machine learning and other modeling techniques are a great bridge between classical natural sciences and modern tech today, that I would look for in collaborators. More specifically from the earth sciences, "GeoAI" would be a key focus.

Just shared this myself. Very lovely!

All of this read and written on a smartphone.

Reversion to the past is not preparation for the future.