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Can you please let the product team know that there's space between Pro and Ultra pricing?

I can't afford/allow for ultra pricing for personal projects, but Pro runs through in about two days of casual usage for me. I've paid for extra credits, but my god are those not worth the price.

I would love to pay for a sub that's between Pro and Ultra.

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Second pro sub is the usual middle ground, same as with other providers. You can switch to second account using an alias (agy2='unshare ... exec agy' to remap $HOME/.gemini to e.g. .gemini2).

Although using another provider for the secon sub is probably a better idea since having a different model doing review would uncover more issues than asking the same model that generated the code..

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Neither one has privacy (model training off) so it’s pretty much just a toy or for open source folks whose codebases get stolen by Google either way
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When to use teamwork vs boost vs swarm?

Both take a long time. It used to be that antigravity was much faster than codex, but with recent releases it is substantially slower.

Inspecting the agents communication in teamwork, there seems to be an overwhelming amount of ceremony: BRIEF.md, specialized roles, multiple rounds of checking. Is all that necessary? Codex also uses agent “swarms” but unless they’ve hidden how the sausage is made, it doesn’t seem so heavyweight.

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Here is a short list of example results reported on the post; again we will have dedicated Antigravity posts for some of these.

* Math Open Problems & Formal Verification: Reporting 10+ open math and CS theory problems solved including 50M-line Lean 4 proof of Courtade–Kumar conjecture plus progress on several open problems in quantum query complexity, Tarjan's Deque Conjecture.

  Also autonomous Lean formalizations of the Weil (1.8M lines), Birkhoff, and 3D Bochner–Riesz conjectures via Teamwork-LEAP, plus updates on Deep Review for STOC’27.
* Chemistry & Discovery: 95% top-1 exact match on NMR molecular structure elucidation (nearly 2× single-agent). Also empowering Nuclear Fusion and Quantum algorithm results as well autonomously generating a CausalAnalyst Benchmark. In addition, we show how /teamwork can start from Alphazero paper, implement a competitive go game, and autonomously improving it by playing with KataGo to get to the medium Elo level.

* Several Systems, TPU Kernel, & Infra: * Clustering 1-Trillion-edge graphs on FarArray and RDMA (up to 180× faster), * 800K-line Zircon & 170K-line libgav1 safe Rust rewrites (20–30% faster than C++/ASM), * 4.09× JAXBench TPU kernel speedups with DuoDiscover, * Google internal examples: surpassing 1 PiB fleet memory savings, and 24% fewer Borg TPU preemptions for Borg Scheduling.

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FWIW, since Argon 4 was launched I used Antigravity (without the /boost or the /teamwork flags) for "playground research" and had some discoveries in cryptography[1] and speeding up Python, removing the GIL, improving the JIT, and optimizing it for certain libraries (e.g. NetworkX) [2]. I don't know how stable is the Python one but it passes the included tests. I have spent some GC budget on it though.

[1] https://arxiv.org/abs/2611.00512

[2] https://github.com/srw/cpython-experimental

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Is CausalAnalyst the causal inference benchmark it talks about? Where are the results?
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