You know you can just not use AI, right?
You can make a choice not to be part of this.
Even if your job uses it, YOU don’t have to in your normal life. You don’t have to let your kids use it.
You didn’t have it three years ago. You can just…be on Team Human. You can choose.
Debby 📎🐧
in reply to Catherynne M. Valente • • •Or just use you AI locally 🦾 💻 🧠
I completely understand the concerns about relying too heavily on AI, especially cloud-based, centralized models like ChatGPT. The issues of privacy, energy consumption, and the potential for misuse are very real and valid. However, I believe there's a middle ground that allows us to benefit from the advantages of AI without compromising our values or autonomy.
Instead of rejecting AI outright, we can opt for open-source models that run on local hardware. I've been using local language models (LLMs) on my own hardware. This approach offers several benefits:
- Privacy - By running models locally, we can ensure that our data stays within our control and isn't sent to third-party servers.
- Transparency - Open-source models allow us to understand how the AI works, making it easier to identify and correct biases or errors.
- Customization - Local models can be tailored to our specific needs, whether it's for accessibility, learning, or creative projects.
- Energy Efficiency - Local processing can be more energy-efficient than relying on large, centralized data centers.
- Empowerment - Using AI as a tool to augment our own abilities, rather than replacing them, can help us learn and grow. It's about leveraging technology to enhance our human potential, not diminish it.
For example, I use local LLMs for tasks like proofreading, transcribing audio, and even generating image descriptions. Instead of ChatGPT and Grok, I utilize Jan.ai with Mistral, Llama, OpenCoder, Qwen3, R1, WhisperAI, and Piper. These tools help me be more productive and creative, but they don't replace my own thinking or decision-making.
It's also crucial to advocate for policies and practices that ensure AI is used ethically and responsibly. This includes pushing back against government overreach and corporate misuse, as well as supporting initiatives that promote open-source and accessible technologies.
In conclusion, while it's important to be critical of AI and its potential downsides, I believe that a balanced, thoughtful approach can allow us to harness its benefits without sacrificing our values. Let's choose to be informed, engaged, and proactive in shaping the future of AI.
CC: @Catvalente @audubonballroon
@calsnoboarder @craigduncan
#ArtificialIntelligence #OpenSource #LocalModels #PrivacyLLM #Customization #LocalAI #Empowerment #DigitalLiteracy #CriticalThinking #EthicalAI #ResponsibleAI #Accessibility #Inclusion #Education
Matt Campbell
in reply to Debby 📎🐧 • • •Sensitive content
@debby Unfortunately, it's a misnomer to refer to most of the LLMs that you can run locally as open-source. The code that runs the inference is open-source, but the model weights are a big inscrutable blob, and the training data and process for those are usually proprietary. So the usual concerns about the training data (unauthorized use of copyrighted work) and process (exploitation of underpaid labor) still apply.
@Catvalente @audubonballroon @calsnoboarder @craigduncan