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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
by wizee 1y ago
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 questions the latest local models are quite good. I’ve been using Qwen 3 Coder 30B-A3B a lot to analyze code locally and it has been great. While not as good as the latest big cloud models, it’s roughly on par with SOTA cloud models from late last year in my usage. I also run Qwen 3 235B-A22B 2507 Instruct on my home server, and it’s great, roughly on par with Claude 4 Sonnet in my usage (but slow of course running on my DDR4-equipped server with no GPU).
- captainregex 1y agoI do think Devs are one of the genuine users of local into the future. No price hikes or random caps dropped in the middle of the night and in many instances I think local agentic coding is going to be faster than the cloud. It’s a great use case
- exasperaited 1y agoI am extremely cynical about this entire development, but even I think that I will eventually have to run stuff locally; I've done some of the reading already (and I am quite interested in the text to speech models). (Worth noting that "run it locally" is already Canva/Affinity's approach for Affinity Photo. Instead of a cloud-based model like Photoshop, their optional AI tools run using a local model you can download. Which I feel is the only responsible solution.)
- M4R5H4LL 1y ago+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.
- deleted 1y ago[deleted]
- filoleg 1y agoAdd big law to the list as well. There are at least a few firms here that I am just personally aware of running their models locally. In reality, I bet there are way more.
- atlasunshrugged 1y agoAdd government here too (along with all the firms that service government customers)
- rasmus1610 1y agoAdd healthcare. Cannot send our patients data to a cloud provider
- nixgeek 1y agoA ton of EMR systems are cloud-hosted these days. There’s already patient data for probably a billion humans in the various hyperscalers. Totally understand that approaches vary but beyond EMR there’s work to augment radiologists with computer vision to better diagnose, all sorts of cloudy things. It’s here. It’s growing. Perhaps in your jurisdiction it’s prohibited? If so I wonder for how long.
- londons_explore 1y agoEven if it's possible, there is typically a lot of paperwork to get that stuff approved. There might be a lot less paperwork to just buy 50 decent GPU's and have the IT guy self-host.
- fineIllregister 1y agoIn the US, HIPAA requires that health care providers complete a Business Associate Agreement with any other orgs that receive PHI in the course of doing business [1]. It basically says they understand HIPAA privacy protections and will work to fulfill the contracting provider's obligations regarding notification of breaches and deletion. Obviously any EMR service will include this by default. Most orgs charge a huge premium for this. OpenAI offers it directly [2]. Some EMR providers are offering it as an add-on [3], but last I heard, it's wicked expensive. 1: https://www.hhs.gov/hipaa/for-professionals/covered-entities/sample-business-associate-agreement-provisions/index.html https://www.hhs.gov/hipaa/for-professionals/covered-entities... 2: https://help.openai.com/en/articles/8660679-how-can-i-get-a-business-associate-agreement-baa-with-openai-for-the-api-services https://help.openai.com/en/articles/8660679-how-can-i-get-a-... 3: https://www.ntst.com/carefabric/careguidance-solutions/ai-documentation-assistant https://www.ntst.com/carefabric/careguidance-solutions/ai-do...
- robwwilliams 1y agoYes, and help with grant reviews. Not permitted to use web AI.
- mark_l_watson 1y agoI agree totally. My only problem is local models running on my old macMini run very much slower than that for example Gemini-2.5-flash. I have my Emacs setup so I can switch between a local model and one of the much faster commercial models. Someone else responded to you about working for a financial organization and not using public APIs - another great use case.
- gorbypark 1y agoThese being mixture of expert (MOE) models should help. The 20b model only has 3.6b params active at any one time, so minus a bit of overhead the speed should be like running a 3.6b model (while still requiring the RAM of a 20b model). Here's the ollama version (4.6bit quant, I think?) run with --verbose total duration: 21.193519667s load duration: 94.88375ms prompt eval count: 77 token(s) prompt eval duration: 1.482405875s prompt eval rate: 51.94 tokens/s eval count: 308 token(s) eval duration: 19.615023208s eval rate: 15.70 tokens/s 15 tokens/s is pretty decent for a low end MacBook Air (M2, 24gb of ram). Yes, it's not the ~250 tokens/s of 2.5-flash, but for my use case anything above 10 tokens/sec is good enough.