This really captures something I've been experiencing with Gemini lately. The models are genuinely capable when they work properly, but there's this persistent truncation issue that makes them unreliable in practice. I've been running into it consistently, responses that just stop mid-sentence, not because of token limits or content filters, but what appears to be a bug in how the model signals completion. It's been…
Improved Gemini 2.5 Flash and Flash-Lite
141–150 of 285 posts
Re: Improved Gemini 2.5 Flash and Flash-Lite
#142Non-AI Summary: Both models have improved intelligence on Artificial Analysis index with lower end-to-end response time. Also 24% to 50% improved output token efficiency (resulting in lower cost). Gemini 2.5 Flash-Lite improvements include better instruction following, reduced verbosity, stronger multimodal & translation capabilities. Gemini 2.5 Flash improvements include better agentic tool use and more token-effici…
I think “Non-AI summary” is going to become a thing. I already enjoyed reading it more because I knew someone had thought about the content.
Re: Improved Gemini 2.5 Flash and Flash-Lite
#143The switch by Artificial Analysis from per-token-cost to per-benchmark-cost shows some effect! Its nice that labs are now trying to optimize what I actually have to pay to get an answer - It always annoys me to have to pay for all the senseless rambling of the less-capable reasoning models.
Re: Improved Gemini 2.5 Flash and Flash-Lite
#144Earlier quoted context omitted.
2.5 isn't the version number, its the model generation. it would only be updated when the underlying model architecture, training, etc are updated. this release is, as the name implies, the same model but likely with hardware optimizations, system prompt, and fine-tuning tweaks applied.
Ok, so if not 2.6 then 2.5.1 :)
Re: Improved Gemini 2.5 Flash and Flash-Lite
#145Re: Improved Gemini 2.5 Flash and Flash-Lite
#146This really captures something I've been experiencing with Gemini lately. The models are genuinely capable when they work properly, but there's this persistent truncation issue that makes them unreliable in practice. I've been running into it consistently, responses that just stop mid-sentence, not because of token limits or content filters, but what appears to be a bug in how the model signals completion. It's been…
(Disclosure: I'm the founder of Synthetic.new, a company that runs open-source LLMs for monthly subscriptions.)
Re: Improved Gemini 2.5 Flash and Flash-Lite
#147This really captures something I've been experiencing with Gemini lately. The models are genuinely capable when they work properly, but there's this persistent truncation issue that makes them unreliable in practice. I've been running into it consistently, responses that just stop mid-sentence, not because of token limits or content filters, but what appears to be a bug in how the model signals completion. It's been…
Small things like this or the fact that AI studio still has issues with simple scrolling confuse me. How does such a brilliant tool still lack such basic things?
Re: Improved Gemini 2.5 Flash and Flash-Lite
#148Earlier quoted context omitted.
Unfortunately Gemini isn't the only culprit here. I've had major problems with ChatGPT reliability myself.
I only hit that problem in voice mode, it'll just stop halfway and restart. It's a jarring reminder of its lack of "real" intelligence
Re: Improved Gemini 2.5 Flash and Flash-Lite
#149Re: Improved Gemini 2.5 Flash and Flash-Lite
#150This really captures something I've been experiencing with Gemini lately. The models are genuinely capable when they work properly, but there's this persistent truncation issue that makes them unreliable in practice. I've been running into it consistently, responses that just stop mid-sentence, not because of token limits or content filters, but what appears to be a bug in how the model signals completion. It's been…
Unfortunately Gemini isn't the only culprit here. I've had major problems with ChatGPT reliability myself.