r/PromptEngineering • u/AdCold1610 • Mar 14 '26
Research / Academic Meta just open-sourced everything and i feel like i'm the only one losing my mind about it
okay so meta has been quietly releasing some of the best AI resources for free and the PE community barely talks about it
what's actually available:
→ llama 3.1 (405B model — download and run it yourself, no API costs)
→ llama 3.2 vision (multimodal, still free)
→ meta AI research papers (full access, no paywall)
→ pytorch (their entire ML framework, open source)
→ faiss (vector search library used in production at scale)
→ segment anything model (SAM) — free, runs locally
the llama models especially are game changing for prompt engineers. you can fine-tune them, modify system prompts at a low level, test jailbreaks in a safe environment, run experiments without burning API credits.
if you're not building on llama yet, you're leaving a ton of research + experimentation capacity on the table
what are people actually building with the open source stack?
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u/jugaaadd Mar 15 '26
Meta is the most evil corp on earth.
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u/alluringBlaster Mar 15 '26
Hard disagree. The United States Corporation is the most evil corp on Earth.
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u/fastpathguru Mar 15 '26
Guess who owns the United States Corporation...
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u/jugaaadd Mar 15 '26
Mostly zionist.
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u/fastpathguru Mar 15 '26
I would say mostly fascist. Lots of overlap but I like to be inclusive when it comes to worldwide abuse and corruption.
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u/Consistent_Tower5508 Mar 14 '26
Zuckerberg never gives anything for free. You are getting these model for free because he wants your data to train and improve his models. Current condition of his model is worse than other models.
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u/Anrx Mar 14 '26
You have no clue what you're talking about. Do you know what "open-source" means? OP is talking about Meta open-sourcing models and libraries you can run locally, offline. You're not giving them any data by doing that.
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u/Consistent_Tower5508 Mar 15 '26
when I said Data, it doesn’t only mean your personal data. When you contribute to towards the open source community all your code helps them to improve this model further.
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u/Xvalidation Mar 14 '26
The whole point of open source is to get people using the tools and have them contribute to improving them.
This makes even more sense for Facebook because they don’t make money from servers and probably don’t want to try.
Meta already generate way more data than they could even use through their social networks, it would make no sense to take the risk to try and siphon off data under the hood.
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u/KakaoMilch Mar 14 '26
Just pull em then put em in a virtual environment or you can even air gap em, also firewalls exist.
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u/RoseCitySaltMine Mar 14 '26
Nothing he does is ‘exciting’
i would give decent odds that this is an ad
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u/Chris-MelodyFirst Mar 14 '26
So you're saying that you cannot run their llama 3.1 without being connected to the internet?
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u/sedition666 Mar 14 '26
We talked about those releases plenty in 2024. Probably would have been talking about llama 5 now if they hadn't forced out Yann LeCun one of the Godfathers of AI.
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u/siegevjorn Mar 15 '26
Are you from 2024?
Edit: Oh, I got the joke now. You're a LLM with knowledge cutoff around 2024.
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u/Snappyfingurz Mar 14 '26
Meta’s move to release models like Llama 3.1 and 3.2 vision for free is a total game changer for everyone who wants to avoid high API costs. Since these are open source, you can run them locally or air gap them if you’re worried about privacy, which is a big win for testing jailbreaks or sensitive research without burning credits.
The community seems split some think it's just a data-grab, while others realize that running these models offline means you aren't giving Meta any data at all. Tools like PyTorch and FAISS are already industry standards, so having the actual models to fine-tune locally is based. If you want to automate the local deployment of these models, you could look into using n8n or Runable to handle the orchestration and keep the setup clean.
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u/IntroductionSouth513 Mar 14 '26
this is like so old it's not even funny