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[-] mlg@lemmy.world 2 points 12 hours ago

Is anyone actually using Gemini directly?

It sucks total bum compared to even some quality mid tier models on huggingface. Even the joke about ChatGPT was that it performs better than Google's equally bum SEO'd search engine.

I feel like Google is suffering much less at throwing it into all of their apps than MSFT doing the same with copilot.

[-] brucethemoose@lemmy.world 2 points 8 hours ago* (last edited 8 hours ago)

It’s still a leading long context model, IMO.

But I think it feels dumb because the default “harness” is pretty simple and dumb, more than the base LLM.

That, and it’s really awful at 1 temperature (which is its default).

Maybe some leadership is guzzling Kool-aid over how bad Google search has gotten? Because it leans on that pretty heavily, without many other tools.

[-] mecen@lemmy.ca 3 points 15 hours ago
[-] brucethemoose@lemmy.world 1 points 8 hours ago* (last edited 8 hours ago)

Yeah, Mistral is just… not very good anymore.

Even strictly compared to open weights models. Everything I’ve tried feels obsolete.

[-] placebo@lemmy.zip 3 points 14 hours ago

I don't know what models power Lumo, but Mistral is so far behind the competition it's not even funny.

[-] Jiral@lemmy.world 0 points 14 hours ago

Mistral Medium 3.5 isn't that far behind comparable current open weight models.

[-] placebo@lemmy.zip 1 points 14 hours ago

Maybe, but Mistral is a commercial company that offers commercial products that can't really compete with OpenAI, Anthropic, and the others. That's what I meant.

[-] TorstenTyp@feddit.nu 2 points 14 hours ago

I’m curious as to why you say that? I use Le Chat and to me it feels exactly like ChatGPT or Claude, it can code well, translate, search online, everything.

[-] gerryflap@feddit.nl 1 points 11 hours ago

Personally I really struggle with it. I wanna use it because it's not from a US company, but it's just wrong in like 60% of whatever I ask it. Sometimes even when corrected. It's good though, makes me stop using the clanker and actually search for myself. Sometimes I do resort to ChatGPT or accidentally invoke Gemini when searching though, and those two have a way higher hit rate

[-] TorstenTyp@feddit.nu 3 points 8 hours ago

My two cents on the matter is that LLMs are incredibly useful, but I would never use it to that end. I never ask about facts or use it as a search engine. Sure, use it as a springboard if you don’t know where to start or what to search for, or maybe to find the right link to a website. But directly relying on it for information is risky, whatever the model. Maybe this is the reason our experiences seem to differ.

[-] placebo@lemmy.zip 2 points 14 hours ago

Subjectively, it feels similar to models we used a year or two ago. Not that drastically different from what Anthropic and OpenAI offer today, but slightly worse. For instance, for complex coding tasks it offers basic solutions, while Claude often offers more options and details - as if it knows more.

Objectively, benchmarks. Mistral looks comparable to other open weight models (as another user mentioned), but not as good otherwise.

[-] onnekas@sopuli.xyz 2 points 11 hours ago* (last edited 11 hours ago)

With the results of chat out of the box I kind of agree with you that mistral feels behind.

However, there are some features that I really like and make the experience even better than chatgpt.

  1. Agents are pretty cool and with some setup produce very good results
  2. managing libraries for documents/context is better than in ChatGPT. Also adding specific libraries to agents is nice.
  3. Scheduling tasks has just been added and I want to try that out.

(I have never tried the paid version of any LLM chat so I can only compare free tiers)

[-] TorstenTyp@feddit.nu 2 points 13 hours ago

I see, that’s about the time they all got so good that I stopped trying to keep up with the latest benchmarks. It works perfectly for my needs so I definitely wouldn’t dismiss it for anyone wanting to switch to a European alternative.

[-] placebo@lemmy.zip 2 points 13 hours ago

Sure, totally depends on your needs. But it'd be great if we had one of them frontier models in Europe.

[-] Jiral@lemmy.world 1 points 12 hours ago* (last edited 12 hours ago)

Mistral has recently shown a good trajectory of improvement. It is already an important thing that there is a European mid range open weight model that can compete. (Frontier models need a lot more resources, it is important to compare apples with apples) This is good enough for many applications were data security and sovereignity are prime concerns. Of course, it would be good to have a frontier model, lets see how Large 4 will perform when we get there.

[-] pwxd@lemmy.zip 1 points 14 hours ago

True! I'm loving lumo so far

[-] LodeMike@lemmy.today 18 points 1 day ago
[-] rumba@lemmy.zip 6 points 21 hours ago

That depends; it will most likely cause some pretty serious issues outside the AI space. When that bubble finally pops, it'll probably make the dot-com bust look like a bathtub fart. Knock-on effects over non AI industries, and a lot of little bitch CEO's that put all their money/companies money in AI will now be out a whole lot of cash and go on (more) firing sprees.

[-] 1984@lemmy.today -1 points 15 hours ago* (last edited 15 hours ago)

And if it doesn't pop, it has made ordinary people into millionaires. I was having a look at Swedish Avanza site where they launched a new feature where people can share their portfolios (what stocks they are invested in, and their account growth). The best investors got in early on all this stuff. Nvidia and now memory and disk stocks, so they consistently made tons and tons of money.

All while people has been waiting for the bubble to pop since... 2021? Maybe earlier.

We absolutely don't know if it will pop, and even if it does, there was a huge opportunity to make money from it over years and years.

Thats what investment bankers did, and that's what ordinary people did. Some got very rich on this.

Im just saying that because it's important to realize that the way we think may not be optimal for our lives sometimes. I understand fear. But I also understand that some risks are necessary to gain something valuable.

[-] julietOscarEcho@sh.itjust.works 6 points 15 hours ago

Chat GPT came out in 2023. To the extent there was a bubble in 2021 (crypto and EV come to mind) those frothy parts of the market have deflated.

Thought it was worth adding to your comment that getting rich by taking extraordinary risk may not be "optimal", and that looking at upside outliers is a bad way to decide what to do with personal finances.

If what you're advocating is buying well diversified, low fee, investments with a long time horizon then carry right on though.

[-] 1984@lemmy.today 1 points 14 hours ago

You can adjust your risk, sure. Those low fee diversified investments will give you index level gains, sure. But I meant getting actual rich. Then you need to bet on the right stocks.

[-] placebo@lemmy.zip 1 points 14 hours ago

I care, thanks for asking.

[-] Psythik@lemmy.world 3 points 22 hours ago* (last edited 22 hours ago)

Me. I care.

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[-] Slashme@lemmy.world 160 points 1 day ago

It's a weird business where everyone is offering an environmentally unsupportable service at below cost, hoping to outlive the competition.

Market share of a negative profit market.

[-] pinball_wizard@lemmy.zip 22 points 1 day ago

Market share of a negative profit market.

Yes. That was my reaction, too.

If I start giving away autographed headhsots, have I then also cornered an emerging market? lol.

[-] d00ery@lemmy.world 61 points 1 day ago

It worked for netflix and the steaming services. Now terrestrial (cable) is dead and adsupported streaming tiers have returned lol.

[-] FrankFrankson@lemmy.world 45 points 1 day ago

It's how every tech company that "disrupts" a market or indistry works. Uber started of burning shit tons of cash operating at a loss till it replaced enough Taxi services then jacked up the prices.

The problem with AI is that they cannot increase the prices enough to be profitable. The AI companies are waiting for future hardware tech that will be energy efficient enough to make AI profitable before they run out of capital to burn.

[-] jballs@sh.itjust.works 16 points 1 day ago

The problem with AI is that they cannot increase the prices enough to be profitable.

I saw something about the SpaceX IPO that said for it to be justified at that price, everyone on earth with some sort of money (they defined it as earning at least $14,000/year) had to become an xAI consumer and spend $28,000/year. Seems reasonable /s

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[-] RememberTheApollo_@lemmy.world 21 points 1 day ago

Wait until the winner shows up and proceeds to absolutely wreck everything with fees and subscriptions jammed into everything remaining that didn't need AI.

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[-] rangber@lemmy.zip 4 points 23 hours ago

The free market strikes again.

[-] abbadon420@sh.itjust.works 51 points 1 day ago

So, people are falling for Anthropic's marketing scheme?

[-] ZoteTheMighty@lemmy.zip 10 points 22 hours ago

The company taking most of chatGPT's market share is actually Gemini, which I think is cheating because it's basically just padding the numbers with random google searches.

[-] SorryQuick@lemmy.ca 2 points 19 hours ago

What scheme, their last models have been so much better than OpenAI’s it’s no surprise people are moving to Claude.

[-] blackbeans@lemmy.zip 30 points 1 day ago

Personally, I find myself using the Chinese alternatives more and more as they are just way cheaper.

[-] abbadon420@sh.itjust.works 22 points 1 day ago

The good thing is that a deepseek can be run locally relatively well with consumer hardware. I trust chinese companies as much as i trust american companies with my data and my prompts.

[-] Vlyn@lemmy.zip 5 points 1 day ago

You have 170+ GB VRAM at home? (:

I mainly use DeepSeek v4 Flash now, it's the cheapest around and the quality is high enough for coding. At work we're throwing tons of money at Claude, but even there I usually stick to Sonnet (as Opus is burning money).

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[-] realitista@lemmus.org 17 points 1 day ago

AI is becoming a commodity. Companies with such high burn rates will have a hard time staying alive.

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[-] nbsp@programming.dev 17 points 1 day ago
[-] Joelk111@lemmy.world 4 points 12 hours ago

This is my first time actually navigating to one of these websites. God damn it's so much more dystopian than I even imagined.

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this post was submitted on 17 Jun 2026
403 points (98.8% liked)

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