> 2. I've learned nothing. So the cognitive load of doing it myself, even assembling a simple docker command, is just too high. Thus, I repeatedly fallback to the "crutch" of using AI.
I'm not trying to be offense, so with all due respect... this sounds like a "you" problem. (And I've been there, too)
You can ask the LLMs: how do I run this, how do I know this is working, etc etc.
Sure... if you really know nothing or you put close to zero effort into critically thinking about what they give you, you can be fooled by their answers and mistake complete irrelevance or bullshit for evidence that something works is suitably tested to prove that it works, etc.
You can ask 2 or 3 other LLMs: check their work, is this conclusive, can you find any bugs, etc etc.
But you don't sound like you know nothing. You sound like you're rushing to get things done, cutting corners, and you're getting rushed results.
What do you expect?
Their work is cheap. They can pump out $50k+ worth of features in a $200/mo subscription with minimal baby-sitting. Be EAGER to reject their work. Send it back to them over and over again to do it right, for architectural reviews, to check for correctness, performance, etc.
They are not expensive people with feelings you need to consider in review, that might quit and be hard to replace. Don't let them cut corners. For whatever reason, they are EAGER to cut corners no matter how much you tell them not to.
Would you care to elaborate on what you mean with concert fatigue? I've never heard of it and you're talking about it as though it's something that is so common, it is implied to be known.
> They produce drastically lower amount of tokens to solve a problem, but they haven't seem to have put enough effort into refinining their reasoning and execution as they produce broken toolcalls and generally struggle with 'agentic' tasks, but for raw problem solving without tools or search they match opus and gpt while presumably being a fraction of the size.
Agreed, Gemini-cli is terrible compared to CC and even Codex.
But Google is clearly prioritizing to have the best AI to augment and/or replace traditional search. That's their bread and butter. They'll be in a far better place to monetize that than anyone else. They've got a 1B+ user lead on anyone - and even adding in all LLMs together, they still probably have more query volume than everyone else put together.
I hope they start prioritizing Gemini-cli, as I think they'd force a lot more competition into the space.
> Agreed, Gemini-cli is terrible compared to CC and even Codex.
Using it with opencode I don't find the actual model to cause worse results with tool calling versus Opus/GPT. This could be a harness problem more than a model problem?
I do prefer the overall results with GPT 5.4, which seems to catch more bugs in reviews that Gemini misses and produce cleaner code overall.
(And no, I can't quantify any of that, just "vibes" based)
I wonder what I am missing, because I can use gemini-cli with English descriptions of features or entire projects and it just cranks out the code. Built a bunch of stuff with it. Can't think of anything it's currently lacking.
>> Can't think of anything it's currently lacking.
Speed? The pro models are slow for me
The model 3.1 pro model is good and i don't recognise the GP's complaint of broken tool calls but i'm only using via gemini cli harness, sounds like they might be hosting their own agentic loop?
I thought the same for a long time, borderline unusable with loops/bizarre decisions compared to Claude Code and later Codex.
But I picked it up again about a month ago and I have been quite impressed. Haven’t hit any of those frustrating QoL issues yet it was famous for and I’ve been using it a few hours a day.
Maybe it will let me down sooner or later but so far it has been working really well for me and is pretty snappy with the auto model selection.
After cancelling my Claude Pro plan months ago due to Anthropic enshittification I’ve been nervous relying solely on Codex in case they do the same, so I’ve been glad to have it available on my Google One plan.
Google doesn't need to give a shit, because so much of the internet is infested with with google ad trackers and adwords, and everybody uses Chrome, that they will continue to make billions even without AI. Facebook did the same with their pixel so they could soak up data.
Gemini will be dead in 2 years and there'll be something else, but the ad and search company will remain given that they basically own the world wide web.
Except now, so much of the WWW is filled with AI slop that it breaks the system.
As someone else pointed out... When commits are this cheap, if that's the metric to be gamed, it will be gamed.
You just create 5 GitHub accounts, and spread your Claude Code commits to 5 separate accounts to make it look like there's 5 active contributors.
If anything, we're better off with a fake star economy that is the main thing most people are trying to game, so the signal to noise can still be that it (at least so far) seems pretty easy to tell how many REAL active contributors there are.
Though, I should note, 2 heads are not always better than 1.
I'm more interested in a repository that has commits only from two geniuses than a repository that has 100s of morons contributing to it.
> Increased defense spending actually makes the US less, not more, safe.
It just makes us spend more money on defense, which is the entire point.
The industry obviously wants more and more profits.
They are never going to recommend getting rid of $200m F22s and replacing them with 30 $300k drones that would be more effective and cost 5% as much money.
That's 5% as much profit for them. They're not interested.
They are interested in profits, not national security.
And as you pointed out, they'd prefer a LESS secure world that inherently demands more money going to security.
You could spend more on security to actually be more secure. It's just that no one with any power is interested in that world.
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