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Gemini 3 Deep Think

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241–250 of 722 posts

Re: Gemini 3 Deep Think

#241

Earlier quoted context omitted.

Their models might be impressive, but their products absolutely suck donkey balls. I’ve given Gemini web/cli two months and ran away back to ChatGPT. Seriously, it would just COMPLETELY forget context mid dialog. When asked about improving air quality it just gave me a list of (mediocre) air purifiers without asking for any context whatsoever, and I can list thousands of conversations like that. Shopping or comparing…

I agree. On top of that, in true Google style, basic things just don't work. Any time I upload an attachment, it just fails with something vague like "couldn't process file". Whether that's a simple .MD or .txt with less than 100 lines or a PDF. I tried making a gem today. It just wouldn't let me save it, with some vague error too. I also tried having it read and write stuff to "my stuff" and Google drive. But it wou…

I don't find that at all. At work, we've no access to the API, so we have to force feed a dozen (or more) documents, code and instruction prompts through the web interface upload interface. The only failures I've ever had in well over 300 sessions were due to connectivity issues, not interface failures.

Context window blowouts? All the time, but never document upload failures.

Re: Gemini 3 Deep Think

#242

Earlier quoted context omitted.

Anthropic took the day off to do a $30B raise at a $380B valuation.

Most ridiculous valuation in the history of markets. Cant wait to watch these compsnies crash snd burn when people give up on the slot machine.

As usual don't take financial advice from HN folks!

Re: Gemini 3 Deep Think

#243

Earlier quoted context omitted.

I never found it useful for code. It produced garbage littered with gigantic comments. Me: Remove comments Literally Gemini: // Comments were removed

It would make more sense to me if it had never been awesome.

They may quantize the models after release to save money.

Re: Gemini 3 Deep Think

#244

Earlier quoted context omitted.

DeepSeek hasn't been SotA in at least 12 calendar months, which might as well be a decade in LLM years

What about Kimi and GLM?

These are well behind the general state of the art (1yr or so), though they're arguably the best openly-available models.

Re: Gemini 3 Deep Think

#246
post #240

Gemini has always felt like someone who was book smart to me. It knows a lot of things. But if you ask it do anything that is offscript it completely falls apart

I'd rather say it has a mind of its own; it does things its way. But I have not tested this model, so they might have improved its instruction following.

Well, one thing i know for sure: it reliably misplaces parentheses in lisps.

Re: Gemini 3 Deep Think

#247
post #74

Not trained for agentic workflows yet unfortunately - this looks like it will be fantastic when they have an agent friendly one. Super exciting.

Its really weird how you all are begging to be replaced by llms, you think if agentic workflows get good enough you're going to keep your job? Or not have your salary reduced by 50%? If Agents get good enough it's not going to build some profitable startup for you (or whatever people think they're doing with the llm slot machines) because that implies that anyone else with access to that agent can just copy you, its…

You don't hate AI, you hate capitalism. All the problems you have listed are not AI issues, its this crappy system where efficiency gains always end up with the capital owners.

Re: Gemini 3 Deep Think

#248
post #15

Google is absolutely running away with it. The greatest trick they ever pulled was letting people think they were behind.

Their models might be impressive, but their products absolutely suck donkey balls. I’ve given Gemini web/cli two months and ran away back to ChatGPT. Seriously, it would just COMPLETELY forget context mid dialog. When asked about improving air quality it just gave me a list of (mediocre) air purifiers without asking for any context whatsoever, and I can list thousands of conversations like that. Shopping or comparing…

How can the models be impressive if they switch to Chinese mid-sentence? I've observed those bizarre bugs too. Even GPT-3 didn't have those. Maybe GPT-2 did. It's actually impressive that they managed to botch it so badly.

Google is great at some things, but this isn't it.

Re: Gemini 3 Deep Think

#249
post #39

The pelican riding a bicycle is excellent . I think it's the best I've seen. https://simonwillison.net/2026/Feb/12/gemini-3-deep-think/

Do you have to still keep trying to bang on about this relentlessly? It was sort of humorous for the maybe first 2 iterations, now it's tacky, cheesy, and just relentless self-promotion. Again, like I said before, it's also a terrible benchmark.

I'll agree to disagree. In any thread about a new model, I personally expect the pelican comment to be out there. It's informative, ritualistic and frankly fun. Your comment however, is a little harsh. Why mad?

Re: Gemini 3 Deep Think

#250
post #175

Is it me or is the rate of model release is accelerating to an absurd degree? Today we have Gemini 3 Deep Think and GPT 5.3 Codex Spark. Yesterday we had GLM5 and MiniMax M2.5. Five days before that we had Opus 4.6 and GPT 5.3. Then maybe two weeks I think before that we had Kimi K2.5.

I think it is because of the Chinese new year. The Chinese labs like to publish their models arround the Chinese new year, and the US labs do not want to let a DeepSeek R1 (20 January 2025) impact event happen again, so i guess they publish models that are more capable then what they imagine Chinese labs are yet capable of producing.

Singularity or just Chinese New Year?
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