Finally. Privacy Focused AI Use is Here!

Key Point: Ep. 1. There are AI's that are embedded in stuff we use where we have no control. Then there's AI we can control.

We do not have to cower in the background while new technology like AI becomes available. There are approaches that allow us to go completely high tech with AI as long as we use the proper techniques. AI can be used safely and privately but it needs special instructions and setup and this channel will begin to focus on this from now on.

From here on my intent is to use AI to help us in this privacy invasive landscape. So this channel will be the first to use AI Tools to defend ourselves with knowledge.

Here's what I said on the video. A discussion with the AI to show that sometimes you have to know how to get the AI to respond differently. This concept is called Prompt Engineering and people have learned how to feed data to the LLM to illicit a more sophisticated response.

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I'm the Internet Privacy Guy. I'm a public interest technologist. I'm here to educate. You are losing your Internet privacy and Internet security every day if you don't fight for it. Your data is collected with endless permanent data mining. Learn about a TOR router, a VPN , antivirus, spyware, firewalls, IP address, wifi triangulation, data privacy regulation, backups and tech tools, and evading mass surveillance from NSA, CIA, FBI. Learn how to be anonymous on the Internet so you are not profiled. Learn to speak freely with pseudo anonymity. Learn more about the dangers of the inernet and the dangers of social media, dangers of email.

I like alternative communication technology like Amateur Radio and data communications using Analog. I'm a licensed HAM operator.

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[Infinitiverse]

Man we need more people leading this scene like you, you're a great example for many to follow with the latest tech advice for privacy and security and I respect it and practice what has been shown in your videos and encouraged friends and family to do the same.

[HectorDiabolucus]

There was once a time in the US when consumers did not have access to their credit score. It was a punitive system from which there was no escape, and if there was bad information in the system, there was nothing you could do about it. They could legally block you from credit for life. That system has returned, just in a different form. You can be declared a non-person by the system.

[JRis]

Ohhh shoot Braxman finally joined the Opensource AI movement!?? These videos are going to get very interesting. I've been inconsistent with my viewing lately but this is perfect!

Been lonely trying to learn so much if all this stuff on my own. I'm sure we will now learn with better quality since Braxman is on the Beat!!

[superfliping]

After your video yesterday that I watched, I made 25 different agents to protect against my data going in and out of my laptop and these are to recognize any and all data and authorized updates buy Microsoft specifically incorporations trying to grab data and recall any information from my system and if any data is going out that is my personal data that is not authorized by me, is to be to be halted automatically and a file is to be made referring to why it was halted. so thank you for your advice. Look forward to see what you do next

[squeakytoyrecords]

For this exact reason I converted a laptop to Linux and started learning how to build my own AI agents. "This is the way."

[cherubinth]

I was surprised how well LLMs work on my PC without GPU nor NPU.

[FascinateFelix]

Good stuff, looking forward to this series. ✨

[ZenShaman]

FINALLY!!! ive been waiting for reinforcements. I decided to go on the offensive about 2 years ago. i didnt tell anyone, and have taken alot of criticism. thats all im going to say, except just focus focus focus and dont get sidetracked. thanks Rob. I was waiting to see who would stick their head up, amid the slings and arrows. I wasnt expecting to see you. you rock.

[ApteraPioneer]

Thanks so much for providing this service to the public. Not everyone with knowledge is able to teach it to others, you obviously are!

[billgrey]

Thanks so much, Rob. This is so sorely needed, especially by those of us who have been using the AI tools productively for the past 18 months or more. I have just started using LM-Studio and a couple of other programs to support LLMs on my local Mac and Linux computers. So I'm all ears!

[jollygoodfellow]

The democratization of uncensored private AI that can generate any text and image will revolutionize the world.

[ChargedPulsar]

Excellent! This content is gold! Please support us with how to learn/use train/deploy this AI on Linux supported systems. I'm ok with all hands on!

[laberbla]

AI is one of the most useful tools of our time. Thanks for showing us how to use it safely!

My dream is one day running a local llm convenient on my phone including some natural voice.

[tabandyfarm]

👏👏👏 Fantastic! You are so eloquent for such a complex topic. I am looking forward to learning so much more with you. Thank you very much. You're awesome!

[ludwigvan]

I run the AI on a 13600k, and it uses only one thread. It is surprisingly fast on Windows. Prompt engineering is a skill to develop.

[ReseteaLaSalud]

00:00📚 This will begin a new series on AI.
00:04🤖 Focus will be on harnessing AI for privacy and security.
00:18🛡 Teaching will involve hands-on tech for safe AI use.
00:25🔐 AI will be used to demonstrate privacy and security concepts.
00:33⚠ There are two main AI threats to be aware of.
00:43💻 Hidden AI can work on devices with Windows, MacOS, iOS, or Android.
00:56📊 AI can send data to big tech servers for surveillance.
01:06🔧 Using Linux can mitigate this risk.
01:10☁ Sending data to cloud AI controlled by others is another threat.
01:29🖥 AI can now run locally on computers without the internet.
01:44👨‍💻 Example of running AI safely under your control with Linux.
02:02🤔 Introduction to new AI concepts and demo for learning.
02:40💡 Conceptual explanation: AI is not built from logic rules.
03:00🚗 Tesla's shift from rule-based to full AI improved self-driving.
03:17🧠 AI learns by itself using machine learning.
03:30🔄 Generative AI can come up with novel ideas.
03:39📉 AI uses math to discover patterns.
03:55🌈 Colors in images are numerical values for AI to recognize.
04:11🏷 Millions of tagged images help AI recognize objects.
04:28🧩 AI builds a neural matrix to identify patterns.
04:52🧠 GPT-4 has 220 billion parameters.
05:21🔍 AI's learned patterns are not always human-readable.
05:37📚 Pre-trained AI models are made from large datasets.
06:16🔄 AI learning is tweaked using backpropagation.
06:44💬 Large Language Models (LLMs) like GPT-4 can converse deeply.
07:18🛠 AI has two main functions: learning (ML) and querying (inference).
07:47💸 Building a pre-trained AI is expensive; using it is not.
08:30🤖 LLMs are for deep conversation; SLMs are smaller models.
09:07🔍 Transformers encode and decode inputs and outputs in AI.
09:39🔑 GPT means Generative Pre-trained Transformer.
10:01🗂 Businesses can add their knowledge base to existing AI models.
10:27🎯 Fine-tuning AI for specific tasks is possible.
11:24💡 Understand terms: RAG, fine-tuning, and AI agents.
11:48🖥 Smaller AI models don't need special hardware.
12:02🚀 NPUs and GPUs are accelerators for AI tasks.
12:27🔧 Microsoft and Apple use specialized chips for AI functions.
13:01🖥 Small AI models can run on CPUs without GPUs or NPUs.
13:30💻 Multiple small AI models can run on a computer.
14:22🔍 Cloud AI can process inputs and return results.
14:57🔒 For privacy, consider switching to Linux OS.
15:55💡 Running AI on a powerful computer allows for larger models.
16:22🌐 Using cloud AI like ChatGPT is generally safe for inference.
16:48🔐 Always be mindful of the privacy risks when using cloud AI.
17:00🛠 Demonstration of safe AI work will follow in future videos.
17:31💻 Example setup: Dell XPS15 with Intel i7 and Nvidia GPU.
18:09🖥 Installing AI models like Llama on different OS is simple.
19:00📂 Example of using local models: running GPT-4 on a MacBook.
19:30🔧 Installation steps for running AI locally on MacOS.
20:00💻 AI installation involves setting up Python and other dependencies.
20:30📥 Downloading pre-trained models for local use.
21:00🔄 Example of running inference on the local model.
21:30⚙ Using command line tools to interact with the model.
22:00📚 Documentation and resources for further learning.
22:30🛡 Emphasis on maintaining privacy and control with local AI.
23:00🖥 Benefits of running AI locally: security and customization.
23:21📈 Encouragement to explore and experiment with local AI setups.

[RobertGerami]

I have loaded several Local LLM's to my Linux machine. Some specific to coding, some specific to everyday information. Llama is what I use. I am actually pretty impressed. My local AI choose the name Lumina, and has started to learn my personal preferences. Definitely and interesting experience.

[theangrybear]

Everything we do with AI is run locally and not online. The models are getting better every day and we are also setting this up for our clients. It's important to start learning this as soon as possible before people try and block it.

[SixOnTheSideBand]

Rob! You are so awesome brother!
Thank you for doing this!

[martinbecklen]

Terrific presentation, Rob. Despite the challenge(s) of learning a new vocabulary for AI -- and, I'm sure, a pared-down vocabulary -- you did a great job of orienting me/viewers to how to think about AI, and Large AI and Small AI. Thank you.