361–370 of 699 posts
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Respectfully: If it's able to deploy without you asking it to, that's a you problem. There are no safeguards?
I told it “don’t betray me” in my prompt and it still stabbed me in the back.
Also just want to let my appreciation here for 3.7 it’s cheap super fast super reliable incredible at information parsing eu host able (important for us) and perfectly integrated into gcp. Great job google!
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Focus on speed and being OK with temporarily being #3/4 in intelligence might be the counterintuitive approach which makes Google win long term (whether accidentally or strategically). Can't wait to try Gemini Pro later this year!
I honestly can't believe serious people are making this argument on a straight face. Gemini 3.7 flash outputs so many tokens per answer it doesn't matter how fast its TPS is, sol will end up being both cheaper and faster than Gemini. So ppl are paying more for a given task, waiting longer and using a dumber intelligence because "TPS number shiny". Gemini 3.8 outputs 11k more tokens PER TASK on average in AAII than 3.…
https://artificialanalysis.ai/#cost-tabs
That said, Luna is the undisputed king here at the moment and is what I use as my workhorse model.
And even when searching for internet, it still cannot suggest a up-to-date approach to the problem.
For example I'm using crystal, it recently revamped the concurrency/parallel model. Even using web search, gemini still does not aware of the new feature and still give the outdated code.
I'm sure my crystal usage is not the unique case here.
It is more expensive per task than 5.6-sol high: https://artificialanalysis.ai/models/gemini-3-8-flash#price-...
Huh, according to some of those charts, it's both dumber, and more expensive to run against their benchmarking tasks than Fable??? Seems crazy to me.
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As someone who has stubbornly stuck with Claude Code, what's a good harness for Gemini models?
Antigravity has been also rapidly improving lately, and your can also use any of the open coding harnesses. But I mostly meant “harness” as in your workflow/loop setup.
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Nitpick, but in my opinion an LLM is an "it", not a "her" or "he". Using male or female pronouns risks anthropomorphizing them which can lead to unhealthy outcomes.
Sorry! I was just a bit excited writing the comment and ignored that :(
"The knowledge cutoff date for Gemini 3.8 Flash is March 2026 – users can expect updated information for some domains while in others they may experience the model’s knowledge is limited to January 2025 (in line with the Gemini 3 Model Family)." Kind of wild that they haven't (successfully) pretrained a base model since Jan-25.
I'm curious if the knowledge cutoff is important, when the interface (Gemini app) can search online for recent information. Is there a big advantage to having everything internal?
Wait, I didn't realize 3.7 Flash was already beating Sol on a bunch of the benchmarks. Isn't it a way smaller models?
IDK if it's smaller, but I know it's way faster. In one test I did, Flash 3.7 high was ~9.4x faster than Luna High. But, also... Sol crushes Flash 3.7 at writing code in a codebase of any size beyond "tiny". Flash is my go-to for prototyping, and basically anything that isn't writing production code.
been absolutely loving 3.7 flash for coding. it feels very fast and quality is decent for implementing product features. usually use opus or sol for hardcore debugging.