I use Claude Code all day and use Gemini CLI for personal projects and I don't see the huge gap that other people seem to talk about a lot. Truthfully there are parts of Gemini CLI I like better than Claude Code.
I agree. I like using Antigravity for some of my frontend work, and I find it does a better job than Claude Code - Opus 4.6. I’ve also found the Gemini Flash models to be good at legal defense research—I use them to help New Yorkers fight parking tickets (https://nyceasyparking.com). That said, the Claude models are still amazing at agentic work.
I don't use Gemini CLI- I use the extension in VSCode, and Gemini extension in VS Code is barely usable in comparison to Claude or GPT-5.4. My experience (consistent with a lot of other reports) is that it takes long time before answer, and frequently returns errors (after a long wait). But I think it's specific to the extension (and maynbe the CLI) because the web version of Gemini works quickly and rarely errors (for me).
Can you get TouchID to register multiple fingers and script the actions; maybe your middle finger unlocks touchID, but your index finger disables touchID until you enter your password.
During the covid period, the price of hand sanitizer, which is thickened alcohol, rose to exceed the price of drinkable alcohol.
Several beverage factories proposed to rework themselves to produce sanitizer instead, which would have been good for everyone.
But they couldn't, because federal law would have required them to poison the sanitizer, which would have contaminated their machinery so badly that they would have been unable to switch back to producing drinkable alcohol afterwards.
So - even if we ignore the idea that intentionally poisoning people is wrong - there was a serious cost to the legal regime, one that still exists.
This is false. Several breweries and distilleries started producing sanitizer basically overnight [0]. The requirement to add denaturing components to alcohol was suspended during the pandemic specifically to allow it [1].
Because I hope that someone who's hands were required to assemble the recipe didn't blindly add ingredients like "bleach" if the AI happened to hallucinate them.
A naive hope perhaps, but this ignores the risk of LLMs just creating a bad recipe based on the blind combination of various recipes in their training data.
As the parent comment said the people seemed to be enjoying the food otherwise so the LLM didn't create an unpalatable combination, and I can't think of any combination of edible and unharmful ingredients that might combine to something harmful (when consuming a reasonable amount)
This is exactly what makes it dangerous. Food can taste ok but actually cause you to get sick. Not all bacteria is going to taste off. I'm assuming you're not a chef because if you were then you'd know how absurd your statement is.
For a super simple example, if you don't properly handle or cook raw meat then you risk getting sick even though the food might not immediately taste bad. Maybe that's obvious to you but might not be to the person preparing the food. Another example: Rhubarb pie is supposed to be made with the leaves and not the stalk because the stalk is poisonous and can cause illness. Just kidding, it's actually the other way around but if you were just reading a ChatGPT recipe that made that mistake maybe you wouldn't have caught it.
Because the implication is a random human-generated recipe from wherever has any more risk than the one generated. People who would trust a 'bleach recipe' from AI would also trust it from a Tiktok video or whatever.
Edit: it is irrational to think this way when someone prepares your food¿
>I've done tests where I ask Claude to turn a simple 1 line function which adds two numbers together into a 100 line function and when I asked it to simplify it down, it couldn't reduce it back to its original simple form after multiple attempts.
"Claude write a one-way function. Wait, no, not like that!"
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