Posted by logickkk1 17 hours ago
Google watches over the last few months a flat out assault on the Pareto curve from American and Chinese companies. Release after release pushing the boundaries of frontier intelligence and price/performance.
And the response from arguably the biggest AI research labs in the world by headcount is Flash 3.6.
What do you do when you are given essentially unlimited resources and still find yourself falling behind?
It doesn't matter how good the model is if you're (mostly) forced to use it in Antigravity - which turns any model into crap.
Wake me up when Antigravity doesn't suck.
> For autonomous subagents with tool calls, code execution, or multi-step reasoning: set thinking_level to "medium" or "high" to prevent premature tool termination.
I just happened to see that in the docs: https://ai.google.dev/gemini-api/docs/latest-model
I'd be low-keying the release if anything, given how lame they are compared to their competition.
What am I missing?
It's time for them to start focusing on open-weight models and efficiency. Otherwise there's just a layer of marketing hype and "will it do this?" that has to be cut through for evaluation of each and every release cycle.
Models are getting easier and easier to create. The money, if there's any here, is in the harness the user interfaces with, and the data centers running them.
Google was late to coding agents and as-per-usual fucked it up with their crazy project management culture.
Usually Google gets away with it due to inertia, however this time they are paying a heavy price because they missed out on the training data that Anthropic and OpenAI have gathered with claude and codex.
Screw your government! US and Israeli governments should get the least access, but of course we all know they'll be the (only) ones to get full unfiltered access.