The fact that gemini 3.8 flash is so high up there just tells you this is an awful benchmark.
Try and use gemini 3.8 yourself for any real world work and you'll see it's terrible. It'll just go in circles reading the same file 20 times for no reason making hundreds of tool calls for a simple change.
EDIT: I was using gemini cli... it's not a harness issue lol
There's no such things as gemini cli these days. It's called "agy" (short for antigravity). And if you don't know what that is, you're probably 3-6 months behind already.
PS: Just Googled it to confirm: Gemini CLI was deprecated on May 19th, 2026. The correct harness is called agy or antigravity for Gemini 3.8 Flash.
The benchmark page itself asserts that it used Gemini CLI as a harness. I came to the comments just because I noticed the error. For my part — using agy — I found Gemini 3.8 Flash mid.
Hard disagree. I use 3.8 flash in Antigravity a lot, and thoroughly prefer it to most Pro-class models. It's really fast, and I've had it make crazy progress on compiler-like problems that previous models including Opus simply failed at. On ultra plan you can have it going for hours, and make incremental progress with good prompting for review interrupts. It solved a problem I couldn't solve for weeks in under 6 hours. 10k LOC total. The harness and test suite is key.
Why so brazenly confident? Isn’t it possible that the benchmark is correct, and your experience is correct too, but you haven’t tried all the thousand different modalities of work that programming encompasses and so maybe you don’t actually have standing to judge?
very outdated experience from me: when I first tried gemini something, in an existing rust codebase, it looked around for files that would indicate if its go, javascript, java or c++ project, then declared I must have asked it build a new app in javascript and proceeded to circle around to figure out how it can install node and npm on my machine.
So I totally believe that Gemini is just bad. Which is surprising because Gemma is very good for some tasks, but I never ever had any success with Gemini, be it in cli or chat thing or anything else that has gemini branding.
> I don't want a full screen pop up telling me to sign in or a persistent bottom bar telling me to open the tweet in the app or a reply section mostly hidden unless I log in.
I really don't want to support a man who has killed so many people and advocates so aggressively for white supremacy and the elimination of trans people.
A link to a YouTube video without context e.g. summary of findings, primary author/creators, and primary citations, methodology, and so on is a next to useless for making a point. For all we know you’re linking to a crackpot or an industry sock puppet and I don’t care to “watch” any of what can potentially be a dubious video or worse a malicious video. It is your job as the linker to convince me the video is worth even one iota of my time.
On the other hand recent papers highlight the validity of concern/suspicion:
> This systematic review demonstrates that the environmental footprint of artificial intelligence is a structural and increasingly consequential challenge, shaped by interdependent decisions across algorithms, software pipelines, hardware infrastructures, and deployment contexts. The synthesized evidence shows that energy consumption and carbon emissions associated with AI systems are highly variable, context-dependent, and often underestimated — Beyond Efficiency: A Systematic Review of Energy Consumption and Carbon Footprint Across the AI Lifecycle (published in “Sustainability” an international, peer-reviewed, open-access journal)
https://www.mdpi.com/2071-1050/18/3/1359
Nobody is concerned about the costs and environmental impact of data centers.
When someone in a discussion about the benefits of AI goes "did you think about the environment?!", it's always performative.
The real motivation is disliking AI itself or doubt about the government's ability to offset the labor market impact. Discussions that start with feigned concerns being raised are nearly always going to be unproductive.
I don’t dislike AI but really of mine are negatively affected by climate change and AI isn’t helping what is easily observed when Google and MS scrapped their CO2 reduction targets.
So every time I use AI I think about the necessity and usefulness of what I‘m doing with AI and if the use outweighs the costs.
Since the rise of AI the environmental impact doesn’t seem to matter anymore.
I guess because it’s the shiny new toy of the hackernews audience.
Privacy also lost importance given the fact that the same people who refused to give information like their phone number to companies like Google and Meta now upload their whole life to their AIs to asks what should the eat, hyperbolically speaking
You're not helping your case by questioning the usefulness of software produced with AI in the same comment section, or complaining about other people supposedly compromising their own privacy in overusing AI.
The reason it doesn't matter is because the environmental impact is moderate, and the benefit obviously tremendous.
The environmental impact is anything but moderate and the benefits are not obviously tremendous at all. I'm happy using Claude Code as much as the next guy, but saying that the impact has been "tremendous" is vastly overstating the actual results.
I disagree, with the projected doubling by 2030 we're looking at 3% of global electricity consumption or 3.4 EJ, less than 1% of final energy consumption.
That is moderate. Energy-intensive industry is around 130 EJ, and global final energy consumption > 450 EJ.
Existing documented applications of today's AI have the potential to decrease energy consumption by >13 EJ/year by 2035.
Now that was about operational energy consumption. Someone might bring up manufacturing and construction.
From what I could find the climate impact of those are estimated somewhere between 10-35% of the total climate impact of data centers, so relatively small compared to the operational energy consumption.
It is very hard to justify more than moderate environmental impact here, in my opinion.
For the benefits of AI, my personal results have been great, so I am quite optimistic. And objectively, I find it hard to ignore recent results in mathematics and security research.
"Global data centers consumed around 415 terawatt-hours (TWh) of electricity—about 1.5% of the world's total electricity—with AI acting as a primary accelerator for new power demand."
That is today where we already consume too much. If by 2030 AI's consumption doubles it gets worse.
While training large models draws major initial power, everyday AI usage (inference) now drives roughly 80% to 90% of cumulative AI energy
"Existing documented applications of today's AI have the potential to decrease energy consumption by >13 EJ/year by 2035."
Seems like AI helps slowing down the rise of energy consumption.
We are at a point where we want less CO2 not moderataly more.
In the end more is more.
If your doctor tells you to lose weight or you get sick it's not a success to gain weigth slower
Well, at least we could establish that the environmental impact is moderate rather than extreme.
And if the potential of >13 EJ/year is actually realized, it would seem like the net impact of the data centers is not just "moderately more CO2" but possibly "moderately less".
You've made the same exaggerated claim in two comments. Not only are you not banned from Codeberg if you have used LLMs to help you write code "in any of your projects", but you're not even prohibited from using LLMs to help you develop projects that you host on Codeberg.
I feel like you just directly contradicted yourself so there must be some nuance I am missing. Or is the key word "mostly"? Like I can use LLMs to help the work but still have to type most of the code myself?
I have not written more than maybe 10 lines of code in the last year so it seems I am prohibited from hosting on codeberg?
Or is the key word "share" and that's somehow different from "host"?
I suspect the fidelity of your comment to your actual level of confusion is low. In any case, if you're really this confused by the information provided earlier, then the chances aren't good that there's anything that anyone could say to get you unconfused.
2. Turning away people doing unwanted things is the whole purpose of Codeberg's new policy. Why you present this as a undesirable side effect rather than exactly what the policy was designed to do is the only difficult thing to comprehend in this thread.
It's not exaggerated. If you use AI at all for any code in the project it cannot be hosted on codeberg. They made that pretty clear in their blog post.
> If you use AI at all for any code in the project it cannot be hosted on codeberg. They made that pretty clear in their blog post.
No, they didn't. That's not what the blog post says.
> You can read it yourself
I didn't fail to do the reading beforehand. I posted a direct link to the change in the TOS and which is currently linked at the top of all Codeberg pages. Can you read it yourself?
Try and use gemini 3.8 yourself for any real world work and you'll see it's terrible. It'll just go in circles reading the same file 20 times for no reason making hundreds of tool calls for a simple change.
EDIT: I was using gemini cli... it's not a harness issue lol
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