| ▲ | svara 3 hours ago |
| I haven't tried it for coding yet, but I ran a couple of my recent curiosity driven queries from Claude (mostly used Fable and Opus 5.5) through it. This is a clear step change, I'm genuinely amazed. Its answers are to-the-point, logically structured, clearly written. Like a really well made mini essay on your question. It also really likes to build little simulations / models that you can tweak the parameters on. Amazing to explore how different assumptions affect economic scenarios, for example. It's also great at picking (sourced) illustrations. I'll be using this for everything that isn't coding from now on. |
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| ▲ | A_D_E_P_T 3 hours ago | parent | next [-] |
| Totally agree. This is my new favorite general-purpose/non-coding model. It's surprising how good this thing is... And fast, too. |
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| ▲ | drob518 24 minutes ago | parent | prev | next [-] |
| My first reaction after reading the announcement post is that the coding scores look like a weak point. |
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| ▲ | jwpapi 40 minutes ago | parent | prev | next [-] |
| I’m curious about your curiosity driven queries. Mind to share? |
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| ▲ | gigatexal 8 minutes ago | parent | prev | next [-] |
| Just praying they don’t nerf it |
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| ▲ | HSO an hour ago | parent | prev | next [-] |
| > I'll be using this for everything that isn't coding from now on. why? is it not so good on that? or is there something better performance, or better price for same performance? |
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| ▲ | A_D_E_P_T an hour ago | parent [-] | | I'm not the poster you responded to, but I can tell you that historically the Gemini models have lagged behind Anthropic (the clear leader) and OpenAI's best models where coding in particular is concerned. Opus 5.5 is, right now, the consensus best coding model. That said, I'm extremely impressed with Argon thus far. I take back everything bad I've ever said about their AI strategy. Argon is very good and very fast. It might be competitive at coding, but it's too early to say. | | |
| ▲ | fonrex 32 minutes ago | parent [-] | | I completely agree;
I was really surprised to find that Claude Code Opus 5.5 is significantly better. I had spent quite a bit of time using Gemini Pro for coding tasks, but when I revisited the code analysis using Opus 5.5, it revealed quite a few shortcomings in Gemini's understanding...
I code using Python, which is considered the best language for writing code via LLMs (I am referring to linguistic entropy). |
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| ▲ | holaysuns 2 hours ago | parent | prev | next [-] |
| Google's models have usually been pretty good at general query stuff, they fall flat when doing harder tasks. |
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| ▲ | VirusNewbie an hour ago | parent | prev | next [-] |
| I've found it on par with Opus 5.5, what don't you like about it for coding? |
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| ▲ | halJordan 2 hours ago | parent | prev | next [-] |
| Coding? This is Hacker News. We're supposed to be bashing how shit it is at creating svg's |
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| ▲ | glouwbug an hour ago | parent | prev [-] |
| We have this same point made every release. I wonder if models actually are getting better or if these companies are just secretly hamstringing the previous models before releasing a similarly performing model |
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| ▲ | KerrAvon a minute ago | parent | next [-] | | While IME 4.7 and 4.8 were not appreciably better than 4.6, Opus 5 was noticeably better, and Opus 5.5 is significantly better than Opus 5. | |
| ▲ | WillPostForFood an hour ago | parent | prev | next [-] | | Models are actually getting better. | |
| ▲ | becquerel 29 minutes ago | parent | prev | next [-] | | Try using a model from a year ago. | |
| ▲ | taneq an hour ago | parent | prev [-] | | I think it takes a while to start finding the weak points in a model. It seems fantastic until you use it enough to find out that it hallucinates APIs, or can’t count letters, or uses too many em-dashes, etc. you don’t really know someone (or something) until you’ve lived with them (or it). | | |
| ▲ | gazebo2 12 minutes ago | parent [-] | | I think there's definitely some quantization or nerfing happening post-release -- I definitely noticed that with Gemini Flash 3.7, it was super fast and accurate at the start and a few weeks later seemed to run in circles and overthink even a "what are you doing" message, all while doing almost identical work. I find it weird that we're so far into the LLM era and the post-launch degradation is still something of a conspiracy theory. |
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