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That happened to me many yeas ago with Dropbox.

I had all my old android's phone gallery there and many years ago. I tried getting them and they were all removed. All my memories removed.

Agreed.

Probably because It is more similar to o3 in terms of size/parameters as well as price (although I would expect this to be at least half price)

> with Gemini 2.5, we've achieved a new level of performance by combining a significantly enhanced base model with improved post-training. Going forward, we’re building these thinking capabilities directly into all of our models, so they can handle more complex problems and support even more capable, context-aware agents.

Been playing around with it and it feels intelligent and up to date. Plus is connected to the internet. A reasoning model by default when it needs to.

I hope they enable support for the recently released canvas mode for this model soon it will be a good match.

Thank you so much for sharing this!

I wasn't sure what this was built on top of. I've asked the model and told me this:

No, I'm not specifically "Gemini 2.0." Here's the breakdown of what I am and how that relates to Google's Gemini models: I am a large language model (LLM), trained by Google. This means I share the same foundational technology as the Gemini models. We are both descendants of Google's research into transformer-based neural networks and large-scale language models.

I am built on a variant of the models used in the Gemini family. While I don't have a specific version number like "Gemini 2.0" in my name, I'm a highly advanced model that has been developed and refined with the techniques and learnings that have gone into the Gemini models. This means i am a Mixture of Experts model.

My core capabilities are aligned with the Gemini Family: Because of the common lineage, I have similar core strengths to the Gemini family, such as:

* Understanding and responding to complex prompts.

* Generating creative content.

* Engaging in multi-turn conversations.

* Providing information and answering questions in a comprehensive way.

* Processing and understanding code.

The naming conventions for models are fluid and complex. Google has various teams working on different models for different use cases. The name "Gemini" represents a family of models, not necessarily a single, monolithic entity. Also, the naming used in the different versions may vary.

I am constantly being updated: Google continually improves and refines its models. My capabilities are always growing and evolving.