The context window size is also very small if you use Gemini in the app. It starts forget quite fast. In my opinion Gemini on app is useless additionally to the guardrails.

I just asked gemini the question with sim number and it gives me full step by step guide.

I love antigravity. I’ve had zero issues with it.

Computer use is a great idea. It gets the job done when nothing else will.

If you're a person trying to get their job done at a big company, but half your job is in 1-2 proprietary tools or is stuck behind an API you can't program against, computer use can allow you, a non-techie, to do your job more efficiently.

I think it's an awesome way to circumvent gate keepers and the IT department to let people accomplish their goals.

The “correct”, elegant way for AI to interact with existing software would take decades and billions of dollars to build. Someone would have to do the hard work of building new APIs, solving decades of accessibility issues, etc.

Or you can show an AI screenshots and ask it where to click.

Spreadsheet is such a terrible idea. It may look like a valid tool, but ain't no way it's delightful to users. Most of the time people need a database instead. Eventually there'll be an iPhone moment for this.

Meanwhile, the entire world economy:

> Computer use is such a terrible idea. It's slow, insecure, error prone, expensive.

And yet having an agent able yo use a computer on your behalf is really useful.

Recently I gave a Nix OS vm to my hermes agent and it has been a good experience. I don't really care if destroy the machine I can just rollback to an earlier version, and for any meaningful data he creates for me I make sure he creates a repo, commit and pushes to my private Gitea instance.

It's great for testing and QA automation for UIs. It's also possibly good for the vision impaired.

Yeah, it seems like this is the biggest missing feature from the Gemini ecosystem.

If I can't connect MCP, there's really no selling point for me to use Gemini from my watch, car, smart speaker, etc. If I'm already bound to using my own front end, then I'm only evaluating Gemini as a model/API, at which point it has many competitors that may be cheaper or better fit for the task.

I'm fairly convinced Claude's strongest point is the app. AI users aren't anywhere near as mature or smart as youtube/hn would have folks believe. The claude app is amazing for bridging that gap.

They only fixed stopping the model mid-generation losing the entire session pretty recently.

The Gemini apps suck.

This is why I don't always use the official Gemini Web app. Lately I've found that it's more useful to utilize a CLI. I'm looking forward to the day they add MCP in the web.

The graph has Gemini 3.5 Flash matching Sonnet 4.6, losing to Opus 4.8, and slightly behind GPT-5.5 by 0.3 points... That's not that much of a hands-down loss for Gemini for this specific workload benchmark.

The methodology used:

https://deepmind.google/models/evals-methodology/gemini-3-5-...

Methodology: All Gemini scores are pass @1 except where otherwise noted. "Single attempt" settings allow no majority voting or parallel test-time compute. All of the results are all run with the Gemini API for the model-id gemini-3.5-flash with default sampling settings unless indicated otherwise below. To reduce variance, we average over multiple trials for smaller benchmarks.

All the results for non-Gemini models are sourced from providers' self reported numbers unless otherwise mentioned below. For Claude Opus 4.7 , Sonnet 4.6, and GPT-5.5 we default to reporting maximum thinking/reasoning settings available, but when reported results are not available we use best available reasoning results.

It highlights the Gemini models blue since that's what the article is about. The bar heights seem consistent with the values.

It's honest - people who know what they are looking at will take speed and token costs into account. I don't use Gemini 3.5 for coding, but I use it as something in between a search engine and agent.

I think 3.5 flash is trying to target agentic work, like Google Search or ADK (agent development kit) use cases.

It’s something cheap enough you’d put out in front of your customers, and Opus is expensive enough you wouldn’t.

Claude can build UI but it sucks at testing it and iterating on it. Fable showed some improvements in this regard but alas.

I looked at their demo and it does not