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Gemini 3.1 Pro

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Re: Gemini 3.1 Pro

#791

Post by holoduke »

frogperson wrote: post #697
rhubarbtree wrote: post #642

Earlier quoted context omitted.

Google are stuck because they have to compete with OpenAI. If they don’t, they face an existential threat to their advertising business. But then they leave the door open for Anthropic on coding, enterprise and agentic workflows. Sensibly, that’s what they seem to be doing. That said Gemini is noticeably worse than ChatGPT (it’s quite erratic) and Anthropic’s work on coding / reasoning seems to be filtering back to i…

Google might be a mess now, but they have time. OpenAI and Anthropic are on barrowed time, Google has a built in money printer. They just need to outlast the others.

Google is Google. Too much restrictions on the model output. Ask it to create a pentest or let it request a pub key for ssh access and it will refuse.

Re: Gemini 3.1 Pro

#792

Post by menaerus »

stephen_cagle wrote: post #606
menaerus wrote: post #527

Earlier quoted context omitted.

I don't know ... as of now I am literally instructing it to solve the chained expression computation problem which incurs a lot of temporary variables, of which some can be elided by the compiler and some cannot. Think linear algebra expressions which yield a lot of intermediate computations for which you don't want to create a temporary. This is production code and not an easy problem. And yet it happily told me wha…

Can't argue with that, I'll move my Bayesian's a little in your direction. With that said, are most other models able to do this? Also, did it write the solution itself or use a library like Eigen? I have noticed that LLM's seem surprisingly good at translating from one (programming) language to another... I wonder if transforming a generic mathematical expression into an expression template is a similar sort of prob…

It wrote a solution by itself, from the scratch, with dozens of little type traits, just as I would do. Really clean code. And the problem at hand is not the mathematical, linear algebra one. I gave that example just for easier understanding of the problem at hand. The problem is actually about the high-performance serialization. Finally, I instructed it to build complex test cases with multiple levels of nested computations to really check whether we are making any copies or not. Did it in a breeze.

Not sure about the other models. I'd guess that Claude would do equally good but I don't have the subscription for other models so I can't really compare. I for sure know that the ones from the free-tier are not worth spending time with for tasks like this. I use them mostly for one-shot questions.

So yeah, I think I have a pretty good experience. Not perfect definitely but still looks like a SF to me. Even to a highly trained C++ expert it would take probably like a day to build something like this. And most C++ folks wouldn't even know how to build this.

Re: Gemini 3.1 Pro

#793

Post by fwipsy »

spankalee wrote: post #199

I hope this works better than 3.0 Pro I'm a former Googler and know some people near the team, so I mildly root for them to at least do well, but Gemini is consistently the most frustrating model I've used for development. It's stunningly good at reasoning, design, and generating the raw code, but it just falls over a lot when actually trying to get things done, especially compared to Claude Opus. Within VS Code Copi…

I assumed the "thinking" output from Gemini was the result of a smaller model summarizing because it contains no actual reasoning. Perhaps they did this to prevent competitors training off it?

Re: Gemini 3.1 Pro

#794

Post by Kerrick »

motoboi wrote: post #750
ttul wrote: post #709

What I’m noticing, overall: I’ve never cut so much code in my life. I’ve become a coding monster with one of those dark green GitHub profiles ever since 5.3-Codex gave me the confidence to load in a ridiculous number of tasks every day and let it rip. I have about three coding tasks going at once and in another window, Claude Cowork is ripping through PowerPoints and getting back to lawyers. This tech is not going to…

There are thousands like you now. How many does it take to run the economy? What would the rest do. Think of it like what a tractor did to agricultural work. The fist guy that used a tractor probably thought: this is not replacing me, I’m just much more productive. Well, turns out you only need one guy per farm now.

But now many suburban homeowners also have a little lawn tractor, and lots of people on small acreage have a utility tractor. None of them are farmers, but they get value out of the technology as well. Plus, we're feeding a lot more people for a lot less money than we did before tractors.

Re: Gemini 3.1 Pro

#795

Post by Grisu_FTP »

Somehow the models apparently get better and better every week, but every time i try to use them they get worse.

Am I the issue? Am i just misremembering the early times because it was a new thing?

Re: Gemini 3.1 Pro

#796

Post by Mashimo »

Grisu_FTP wrote: post #795

Somehow the models apparently get better and better every week, but every time i try to use them they get worse. Am I the issue? Am i just misremembering the early times because it was a new thing?

You are holding it wrong!

No but for real, what is your usecase?

Do you acutely think something like gpt3 was best?

Re: Gemini 3.1 Pro

#797

Post by starfallg »

weatherlite wrote: post #783
LPisGood wrote: post #722

Earlier quoted context omitted.

Why do you assume they’ll figure it out when they pretty consistently mess things up?

How do they consistently mess things up ? Current market cap 3.7T, only Apple and Nvidia are bigger. Youtube is a huge success, Search is still growing at 10%-15% which is crazy, cloud growing at 35%ish, TPUs enable them to be independent from NVidia etc. Gemini market share went up from 5%-6% early 2025 to 21% early 2026. I personally bet Gemini market share will keep growing. They are executing well on all vertical…

Exactly. You might not like what Google does, but you can't deny it's a massive commercial success. Just because their approach to creating and delivering apps might not be to your liking, you might actually be the niche.

Re: Gemini 3.1 Pro

#798

Post by szundi »

jswny wrote: post #772
bluegatty wrote: post #654

Earlier quoted context omitted.

Yup, you got it. It's a weird situation for sure. You know what's also weird: Gem3 'Pro' is pretty dumb. OAI has 'thinking levels' which work pretty well, it's nice to have the 'super duper' button - but also - they have the 'Pro' product which is another model altogether and thinks for 20 min. It's different than 'Research'. OAI Pro (+ maybe Spark) is the only reason I have OAI sub. Neither Anthropic nor Google seem…

Can you explain what’s so different about pro? I’ve used everything frontier model and had Pro a while ago but it seemed to just be the same models served faster at the time.

[dead]

Re: Gemini 3.1 Pro

#799

Post by nananana9 »

nutjob2 wrote: post #699
nly wrote: post #637

Earlier quoted context omitted.

I keep giving the top Anthropic, Google and OpenAI models problems. They come up with passable solutions and are good for getting juices flowing and giving you a start on a codebase, but they are far from building "entire software products" unless you really don't care about quality and attention to detail.

That is my experience too. I don't know what others are building but the more novel the task is the worse these models perform.

> I don't know what others are building

Don't ask a man about his salary, a woman about her age or an AI evangelist about results from their 1000x productivity boosted workflow.

Re: Gemini 3.1 Pro

#800

Post by jiggawatts »

knollimar wrote: post #695
jiggawatts wrote: post #635

Earlier quoted context omitted.

What’s your difficulty? Google has published easy to follow 27-step instructions for how to sign up for the half a dozen services you need to chain together to enable this common usecase!

On the 3.0 rollout I signed up for billing and it just silently failed. Solution was to remake billing account and then wait a day

“Time machine not included. Some temporal slippage may be experienced. Paradoxes will not be compensated.”
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