Gemini 3.8 Live and 3.8 Live Extended Thinking

Post by Gareth321 » Wed, Sep 16, 2026, 8:21 AM UTC

TacticalCoder wrote: post #268

Gareth321 wrote: post #244

Earlier quoted context omitted.

I strongly agree. I suspect it's people who have not yet used the paid models from OpenAI and Anthropic. Gemini is comparable to free models from other providers, but not in the same universe as paid models. This is frustrating because when I discuss AI with laypeople they think it's still incapable of counting the number of Rs in "strawberry." They believe it to be essentially useless and incapable of basic tasks. W…

> I suspect it's people who have not yet used the paid models from OpenAI and Anthropic. Gemini is comparable to free models from other providers, but not in the same universe as paid models. I totally disagree. I pay for both ChatGPT and Anthropic (haven't tried the chinese models yet) and yet Gemini is my go-to model (and I pay for it too through Google Workspace subscriptions for several domain names tied to Googl…

Post by vintermann » Wed, Sep 16, 2026, 8:43 AM UTC

Gareth321 wrote: post #270

otabdeveloper4 wrote: post #261

Earlier quoted context omitted.

> you're just not using the latest model, bro Pro tip, ChatGPT is the normiest of all normie websites right now. You're not part of the cognoscenti just because you learned how to type prompts into one of the most popular websites in the world. P.S. You're probably not using OpenAI models for complex or non-standard tasks. It shits the best just as often as Qwen when you need precision and detail in a non-obvious pro…

> You're probably not using OpenAI models for complex or non-standard tasks. It shits the best just as often as Qwen when you need precision and detail in a non-obvious problem. The benchmarks clearly show otherwise. This is your cue to tell me the benchmarks are made by the Illuminati and only your superior and subjective methods of evaluation are correct.

Post by flaburgan » Wed, Sep 16, 2026, 9:01 AM UTC

Post by tomaskafka » Wed, Sep 16, 2026, 9:37 AM UTC

mncharity wrote: post #234

jaggederest wrote: post #188

Earlier quoted context omitted.

> As I work in english and use them in english, I wonder if using LLMs in a different language to code renders a different result as well. Like, if some of these benchmarks were made in other languages, would the result be similar. I am not a Chinese speaker but my understanding is that all of the models have substantially different behavior in Chinese, to the degree that it's kind of like a second model. Would be in…

Fwiw, it's been very easy to nudge Qwen 27B/35B to think in Chinese. No need for prefills like "思考：" ("Think:") or such. Relatedly, when chatting with frontier models about science education content design, I've found it very helpful to mix in Chinese education terms. In English, for example, NGSS is such a massive attractor, discussing nearby topics often yields NGSS "slop". And "estimation" (educational) in the US…

Post by altmanaltman » Wed, Sep 16, 2026, 9:48 AM UTC

asdfman123 wrote: post #164

abhgh wrote: post #161

Earlier quoted context omitted.

I do this too! Usually some idea in ML ...when I am driving I might suddenly remember what I was thinking about and then it is my personal podcast via Gemini-in-Maps. My only complaint is if you have follow up questions, you have to be quick, otherwise it cuts off the mic.

I feel like a 10 year old all over again with my frequency of questions. How did the early Roman Empire interact with Greek city states? How are LLMs planning on learning new information on the fly without new context or retraining runs? Why did mom leave? You know, standard stuff.