701–710 of 909 posts
There is an insane amount of helpful information buried in this release
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I’m still trying to understand what is the biggest group of people that uses local AI (or will)? Students who don’t want to pay but somehow have the hardware? Devs who are price conscious and want free agentic coding? Local, in my experience, can’t even pull data from an image without hallucinating (Qwen 2.5 VI in that example). Hopefully local/small models keep getting better and devices get better at running bigger…
> I’m still trying to understand what is the biggest group of people that uses local AI (or will)? Creatives? I am surprised no one's mentioned this yet: I tried to help a couple of friends with better copy for their websites, and quickly realized that they were using inventive phrases to explain their work, phrases that they would not want competitors to get wind of and benefit from; phrases that associate closely w…
But... they're publishing a website. Which competitors will read. Which chatbots will scrape. I genuinely don't get it.
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Privacy, both personal and for corporate data protection is a major reason. Unlimited usage, allowing offline use, supporting open source, not worrying about a good model being taken down/discontinued or changed, and the freedom to use uncensored models or model fine tunes are other benefits (though this OpenAI model is super-censored - “safe”). I don’t have much experience with local vision models, but for text ques…
+1 - I work in finance, and there's no way we're sending our data and code outside the organization. We have our own H100s.
Anybody got this working in Ollama? I'm running latest version 0.11.0 with WebUI v0.6.18 but getting: > List the US presidents in order starting with George Washington and their time in office and year taken office. >> 00: template: :3: function "currentDate" not defined
Sorry about this. Re-downloading Ollama should fix the error
The lede is being missed imo. gpt-oss:20b is a top ten model (on MMLU (right behind Gemini-2.5-Pro) and I just ran it locally on my Macbook Air M3 from last year. I've been experimenting with a lot of local models, both on my laptop and on my phone (Pixel 9 Pro), and I figured we'd be here in a year or two. But no, we're here today. A basically frontier model, running for the cost of electricity (free with a rounding…
I’m still trying to understand what is the biggest group of people that uses local AI (or will)? Students who don’t want to pay but somehow have the hardware? Devs who are price conscious and want free agentic coding? Local, in my experience, can’t even pull data from an image without hallucinating (Qwen 2.5 VI in that example). Hopefully local/small models keep getting better and devices get better at running bigger…
But uncensored is a big deal too: censorship is capability reducing (check out Kilcher's GPT4Chan video and references, the Orca work and Dolphin de-tune lift on SWE-Bench style evals). We pay dearly in capability to get "non-operator-alignment", and you'll notice that competition is hot enough now that at the frontier (Opus, Qwen) the " alignment" away from operators aligned is getting very, very mild.
And then there's the compression. Phi-3 or something works on a beefy laptop and has a nontrivial approximation of "the internet" that works on an airplane or a beach with no network connectivity, talk about vibe coding? I like those look up all the docs via a thumbdrive in Phuket vibes.
And on diffusion stuff, SOTA fits on a laptop or close, you can crush OG mid journey or SD on a macbook, its an even smaller gap.
Early GPT-4 ish outcomes are possible on a Macbook Pro or Razer Blade, so either 12-18 month old LLMs are useless, or GGUF is useful.
The AI goalposts things cuts both ways. If AI is "whatever only Anthropic can do"? That's just as silly as "whatever a computer can't do" and a lot more cynical.
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How up to date are you on current open weights models? After playing around with it for a few hours I find it to be nowhere near as good as Qwen3-30B-A3B. The world knowledge is severely lacking in particular.
Agree. Concrete example: "What was the Japanese codeword for Midway Island in WWII?" Answer on Wikipedia: https://en.wikipedia.org/wiki/Battle_of_Midway#U.S._code-bre... dolphin3.0-llama3.1-8b Q4_K_S [4.69 GB on disk]: correct in deepseek-r1-0528-qwen3-8b Q6_K [6.73 GB]: correct in 10 seconds gpt-oss-20b MXFP4 [12.11 GB] low reasoning: wrong after 6 seconds gpt-oss-20b MXFP4 [12.11 GB] high reasoning: wrong after 3 m…
To be fair, this is not the type of questions that benefit from reasoning, either the model has this info in it's parametric memory or it doesn't. Reasoning won't help.
The lede is being missed imo. gpt-oss:20b is a top ten model (on MMLU (right behind Gemini-2.5-Pro) and I just ran it locally on my Macbook Air M3 from last year. I've been experimenting with a lot of local models, both on my laptop and on my phone (Pixel 9 Pro), and I figured we'd be here in a year or two. But no, we're here today. A basically frontier model, running for the cost of electricity (free with a rounding…
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I tried the two US presidents having the same parents one, and while it understood the intent, it got caught up in being adamant that Joe Biden won the election in 2024 and anything I do to try and tell it otherwise is dismissed as being false and expresses quite definitely that I need to do proper research with legitimate sources.
I mean I would hardly blame the specific model, Anthropic has a specific mention in their system prompts on trump winning. For some reason llms get confused with this one.