Ever wish ChatGPT would just answer your question — no refusals, no filters, and no data going to the cloud?
In this video, I’ll show you how to jailbreak ChatGPT (safely) by running your own private, uncensored AI model completely offline using LM Studio and Ollama.

You’ll learn:
• How large language models (LLMs) actually work — base models, system prompts, and fine-tuning
• What “jailbreaking” means and how people remove built-in restrictions
• How to download and run open-source models like GPT-OSS and Qwen locally
• How to edit system prompts to create custom personalities (Tony Robbins, RoastBot, etc.)
• Where chat data is stored on your Mac — and how to delete it for true privacy
• The difference between LM Studio and Ollama, and when to use each

🔗 Resources Mentioned
• LM Studio – https://lmstudio.ai

• Ollama – https://ollama.ai

• GPT-OSS 20B Model – https://huggingface.co/placeholder

• Qwen 3 Model – https://huggingface.co/placeholder

⚠️ Disclaimer: All examples shown are for research and educational purposes only. Do not use or distribute jailbroken models for harmful or illegal activity.

If you enjoy deep dives like this, subscribe for more AI tools, jailbreak experiments, and founder-friendly tech breakdowns.

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My Tools💻
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Here are 4 AI Agents I Sold in 2025 that made me $23,000. In this video, I'll be showing you the 4 ai agents I sold in 2025 that made me $21,000 as a complete beginner. I'll be breaking down, what the 4 ai agents were, how I sold them, and how you can do it yourself with your own AI agents.


TIMESTAMPS
0:00 - Intro
0:26 - AI Agent 1
2:57 - AI Agent 2
4:58 - AI Agent 3
7:33 - AI Agent 4
9:09 - How to do it yourself


Sponsorship Inquiries:
📧 nate@smoothmedia.co

Connect with me:
https://www.linkedin.com/in/nateherkelman/
https://x.com/nateherk
https://www.instagram.com/nateherk/

Gear I Used:
Camera: Razer Kiyo Pro
Microphone: Blue Yeti USB

Building your own Private AI server is one of the most fun and exciting projects you can try out in your home lab environment. It is also a great way to learn more about AI, LLM models, and GPU passthrough configuration. Self-hosting and configuring your own AI environment is not as difficult as it might sound. Let's take a look at Proxmox, Ollama, and OpenWebUI, as well as Docker Desktop, GPU passthrough a my best practices and tips and tricks. I also show you what projects I am using Private AI servers for. Check it out!

GPU passthrough to LXC containers in Proxmox: https://www.virtualizationhowt....o.com/2025/05/how-to

Run Ollama with NVIDIA GPU in Proxmox VMs and LXC containers: https://www.virtualizationhowt....o.com/2025/05/run-ol

My 2025 Proxmox Build (affiliate links)
Minisforum BD795M – https://geni.us/bd795m
RackChoice 2U Micro ATX Compact – https://geni.us/rackchoice2u
Cooler Master MWE Gold 850 V2 – https://geni.us/coolermaster850
Crucial 128 GB 5600MT/sec RAM – https://geni.us/crucial128gbramkit
Noctua NH-L9i-17xx, Premium Low-Profile CPU Cooler – https://amzn.to/4hAKIwG
Crucial 96GB kit of DDR5 SODIMM memory kit – https://geni.us/noctuanhl9i17xx
Intel X520-DA2 10 GbE network adapter – https://geni.us/intelx520
Kingston 240 GB drive for boot – https://geni.us/kingston240
Samsung EVO 990 Pro 2TB – https://geni.us/samsung990pro2tb
MX-4 Thermal paste – https://geni.us/mx4thermalpaste
Case fans: https://geni.us/arcticp8

Check out the VHT forums to get your questions answered: https://www.virtualizationhowto.com/community/

Join the coolest home lab community here!
https://www.skool.com/homelabe....xplorers/about?ref=2

★ Subscribe to the channel: https://www.youtube.com/channe....l/UCrxcWtpd1IGHG9RbD
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★ Github: https://github.com/brandonleegit
★ Facebook: https://www.facebook.com/peopl....e/VirtualizationHowt
★ Discord: https://discord.gg/Zb46NV6mB3
★ Pinterest: https://www.pinterest.com/brandonleevht/

Introduction to Private AI in the home lab - 0:00
Why self-host GPT for private AI - 0:54
Prerequisites to running private AI at home - 1:27
Can you run this on something old? 1:55
Docker to play around with AI - 2:12
Ollama overview and what it does - 2:33
OpenWebUI chatGPT style interface to interact with Ollama - 2:44
Using Docker and overview of the setup - 3:06
Docker run or Compose can be used - 3:49
Looking at Docker Desktop - 4:11
Command to spin up ollama in Docker Desktop - 4:36
Spinning the OpenWebUI container from the docker command line - 5:55
Overview of what happens after we spin up both containers - 7:06
Showing how to browse out to the OpenWebUI - 7:40
First steps and adding models to your Ollama instance - 7:47
Talking about better performance with LLMs with GPUs - 8:17
Enabling the NVIDIA container toolkit and when needed - 8:43
Overview of GPU passthrough with Proxmox - 9:00
Options for running GPU passthrough in Proxmox (LXC containers, and Virtual Machines) - 10:00
Steps for GPU passthrough overview - 10:50
IOMMU requirement - 11:05
Checking IOMMU - 11:20
Grepping for the device - 11:56
Claiming the IDs for GPU passthrough in Proxmox - 12:53
Blacklisting the drivers for the host - 13:02
Seeing the RTX video card recognized in the VM running in Proxmox - 13:29
Adding a PCI Device in your virtual machine - 13:51
Passthrough challenges in Proxmox - 15:00
Performance of GPU - 15:41
Quick tips and best practices of using this in the home lab - 16:20
Wrapping up self-hosting private AI in your home - 17:00

Get your own VPS and set up OpenClaw: https://hostinger.com/ncopenclaw Use code NETWORKCHUCK!

OpenClaw has 308K GitHub stars — more than React, more than the Linux kernel. But what IS it actually? I set it up on a VPS, gave it a Telegram bot, and watched it build a news briefing and server monitoring dashboard in minutes — something that took an entire n8n workflow video to do before. But I also kinda hate it. In this video, I cut through the hype and give you my honest take as someone who built the same thing with Claude Code before OpenClaw existed.

In this video, you'll learn how to install OpenClaw on a Linux VPS in under 5 minutes, connect it to Telegram, build an AI news briefing agent and IT monitoring dashboard, understand the four pillars of OpenClaw (AI models, channels, memory, and tools), configure security with the built-in security audit, set up tool profiles and red lines, and decide if OpenClaw is right for you. Whether you're an AI enthusiast drowning in hype or a sysadmin curious about AI agents, this covers everything from one-line install to hardened security config.


RESOURCES / LINKS:
🎓 NetworkChuck Academy (OpenClaw Course):https://ntck-ac.co/oc1
💻 GitHub Setup Guide (all commands): https://github.com/theNetworkChuck/openclaw-setup
🌐 OpenClaw: https://openclaw.ai
🛠️ ClawHub (Skills Directory): https://clawhub.com
🛠️ Hostinger VPS: https://hostinger.com/ncopenclaw
📺 n8n Automation Video: https://youtube.com/watch?v=ONgECvZNI3o
☕ NetworkChuck Coffee: https://networkchuck.coffee


TIMESTAMPS:
0:00 - OpenClaw stressed me out (308K GitHub stars)
1:44 - Setting up OpenClaw in 5 minutes on a VPS
4:22 - Connecting Telegram and hatching your agent
7:30 - Project 1: AI news briefing (one sentence vs entire n8n workflow)
8:14 - Project 2: AI IT engineer monitoring your own server
9:34 - What IS OpenClaw actually? (gateway + 4 pillars)
15:07 - Tools, cron jobs, and heartbeats
17:08 - ClawHub skills, browser, and sub-agents
19:27 - Why everyone freaked out (my honest take)
20:55 - Securing your OpenClaw instance
30:01 - My verdict: how I actually use OpenClaw


**Sponsored by Hostinger



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Some links in this description are affiliate links. If you buy through them, I may earn a small commission at no extra cost to you.


#openclaw #aiagents #networkchuck

Access your devices securely from anywhere with TwinGate: https://ntck.co/dgxspark


NVIDIA just sent me their smallest AI supercomputer that fits in the palm of my hand. This is the NVIDIA DGX Spark, an AI powerhouse with a Grace Blackwell Superchip that can run up to 200 billion parameter models. In this video, I pin it against my insane dual RTX 4090 AI Server “Terry” to see if this new category of computing can really compete.


**Correction:** The DGX Spark uses the GB10 Grace Blackwell Superchip (not GP10).


RESOURCES / LINKS:

⚡ Nvidia DGX Spark (launches Oct 15) : https://nvda.ws/4nFFtPT

🍏 AI Supercomputer Video (5 Mac Studios): https://youtu.be/Ju0ndy2kwlw?si=hiWzpU3jIOhHf7iv

🗣️ Cloning my voice into an AI Assitant: https://youtu.be/3fg7Ht0DSnE?si=ePo1JjrC6gnChWPb





🔥🔥Join the NetworkChuck Academy!: https://ntck.co/NCAcademy



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SUPPORT NETWORKCHUCK
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STUDY WITH ME on Twitch: https://bit.ly/nc_twitch

READY TO LEARN??
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FOLLOW ME EVERYWHERE
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AFFILIATES & REFERRALS
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(GEAR I USE...STUFF I RECOMMEND)
My network gear: https://geni.us/L6wyIUj
Amazon Affiliate Store: https://www.amazon.com/shop/networkchuck
Buy a Raspberry Pi: https://geni.us/aBeqAL
Do you want to know how I draw on the screen?? Go to https://ntck.co/EpicPen and use code NetworkChuck to get 20% off!!
fast and reliable unifi in the cloud: https://hostifi.com/?via=chuck

“NVIDIA DGX Spark Review: The AI Supercomputer That Fits in Your Hand”


“Can NVIDIA’s DGX Spark Beat My Dual 4090 AI Server?”


“NVIDIA DGX Spark vs. RTX 4090: AI Battle Test”


“Is the $4,000 NVIDIA DGX Spark Worth It?”


“Running 200B Parameter Models on a Handheld AI Server”


“Grace Blackwell Superchip Explained: NVIDIA’s Tiny Powerhouse”


“Local AI Just Changed Forever: DGX Spark Review”


“How I Built a Mini AI Server That Trains Models Locally”


“Speculative Decoding on the DGX Spark: What It Actually Does”


“DGX Spark vs. Terry: Local AI Showdown”


“Running Llama 3 and DeepSeek on NVIDIA’s DGX Spark”


“The Most Powerful Mini AI Computer Yet?”


“Fine-Tuning Models Locally with NVIDIA DGX Spark”


“Can You Train AI Models at Home with This Device?”


“NVIDIA’s Tiny AI Server for Developers (Full Breakdown)”


“The Future of Local AI: Hands-On with DGX Spark”


“Running FP4 Models on NVIDIA’s New DGX Spark”


“NVIDIA DGX Spark Review: A Developer’s Dream Machine?”


“How Fast Is the DGX Spark? Real Benchmark Results”


“The Palm-Sized AI Supercomputer from NVIDIA”



#NVIDIA #DGXSpark #AIserver

🏷️ Check Current Price on Amazon: https://amzn.to/3I8udfq
🔖 Bookmark & Use for ANY Amazon Purchase (Supports Channel): https://amzn.to/3I8udfq
💎 Get Discounts on Top AI & Software Tools: https://beacons.ai/savagereviews

Have you been told you must pick one local-AI tool and stick with it? Both LM Studio and AnythingLLM promise ChatGPT-level power without the cloud. But what they don’t tell you might cost you your privacy **and** your productivity.

**In this investigation, I'll reveal:**
❌ The polished interface of LM Studio is hiding a closed-source paradox you weren’t warned about
⚠️ The free-download promise of AnythingLLM comes with complexity and extra configuration many tutorials skip
💸 That “free” label hides trade-offs: beginner ease vs advanced features, transparency vs convenience
🚩 The biggest red flags users on Reddit flagged when running local LLMs… and what nobody points out
🔍 How combining LM Studio + AnythingLLM gives you a hybrid setup most power users discovered — and why that matters
💬 Real user complaints from the field: missing features, lack of verification, setup frustrations

You’ll want to watch this before you install either tool — the best setup might be **both**, not one vs the other.

Seen ads or tutorials saying you *must* choose LM Studio *or* AnythingLLM? Comment below with what you heard — and I’ll respond.

👍 If this saved you money, subscribe to Savage Reviews for more brutal product truth.

*Disclosures & Disclaimer*

🧠 Opinions: This video reflects my own opinions and research. It is for educational and informational purposes only. Do your own research before buying anything.

🚫 No sponsorship: This video is not sponsored. I did not receive compensation, products, or direction from the brand or seller.

🔍 Accuracy: I strive for accuracy, but I cannot guarantee that all information is complete, current, or error-free. Pricing and availability can change at any time.

🔗 Affiliate links: Some links are affiliate links. If you purchase through them, I may earn a small commission at no extra cost to you. This helps support the channel and more honest reviews. As an Amazon Associate, I earn from qualifying purchases.

©️ Fair use & copyright: Clips and images may be used for commentary, criticism, news reporting, teaching, and research under Section 107 of the U.S. Copyright Act (fair use). If you own rights to material used here and believe it was not used appropriately, contact me and I will credit or remove it.

Keywords: LM Studio vs AnythingLLM review, LM Studio review 2026, AnythingLLM review 2026, LM Studio privacy local LLM, AnythingLLM open source RAG, local LLM tools 2026, best local AI model chat tool, LM Studio beginner friendly, AnythingLLM enterprise features local AI, LM Studio vs AnythingLLM comparison, local LLM tool privacy issues, RAG document chat local LLM, open-source LLM interface review, local AI tools Windows Mac Linux 2026, AI model management LM Studio AnythingLLM

#LMStudio #LMStudioReview #LMStudioScam #LMStudio2025 #LMStudioExposed #ScamAlert #HonestReview #ProductReview #LocalLLMTool #ConsumerWarning #SavageReviews #ScamExposed #BuyerBeware #AIReview #TruthRevealed

Click this link https://boot.dev/?promo=TECHWITHTIM and use my code TECHWITHTIM to get 25% off your first payment for boot.dev.

If you're not running LLMs locally, then you're missing out. ChatGPT and other hosted solutions are great, but if you care about speed, privacy and cost, then you'll want to learn how to run them on your own machine. In this video, I'll show you two methods of running LLMs locally from a developer perspective.

Want to make real money with coding? I share high-signal insights on careers, monetization, and leverage in my free newsletter. Join here and get my guide How to Make Money With Coding instantly: https://techwithtim.net/newsletter

🎞 Video Resources 🎞
Download Ollama: https://ollama.com/download
Ollama Library: https://ollama.com/library
Ollama GitHub: https://github.com/ollama/ollama
Docker Model Runner Full Video: https://www.youtube.com/watch?v=GOgfQxDPaDw&t=24

⏳ Timestamps ⏳
00:00 | Overview
00:38 | Method 1 - Ollama
04:29 | Ollama from Code
08:27 | Method 2 - Docker Model Runner
12:32 | Docker Model Runner from Code

Hashtags
#Ollama #Docker #LLM

UAE Media License Number: 3635141

🤝 Support the Channel: Join this channel to get access to perks: https://www.youtube.com/channe....l/UCDFNinEMZhfgm-5lQ

🤖 I Built a Real Life JARVIS AI Assistant (Iron Man Style)
If you are like me, you have always dreamed of having your own Jarvis-like artificial intelligence assistant. For years, we've watched Tony Stark command his tech in Iron Man and The Avengers, wishing we had that level of automation in our daily lives.

In this video, I stop wishing and start building. I’m diving deep into the code to create a functional, real-life JARVIS.

I have worked on projects in the past showcasing the potential of AI agents, but I also ran into their limitations. Today, we are breaking past those barriers. This video explores the AI future, diving into how machine learning and current AI models (like Gemini) are evolving to make Agentic AI a reality.

Whether you are interested in Python for beginners, curious about the automation debate, or just a huge Marvel fan who wants to see how to build AI agents, this project is for you.

🚀 What You'll Learn in This Video:
The Evolution of AI: How we moved from simple chatbots to capable AI Agents.

The Build: A look at the Python coding and libraries required to build a voice-activated assistant.

Agentic AI Explained: Understanding how modern AI can take action, not just answer questions.

Limitations vs. Potential: A realistic look at where AI automation stands today and where it is going.

Design & Interface: Touching on the CAD design and visual elements that bring the Iron Man aesthetic to life.

🛠️ Tools & Tech Used:
Python: The core language for this project.

Gemini: Leveraging advanced LLMs for reasoning.

Machine Learning: For adaptive responses.

AI Automation: Scripting tasks for the assistant to perform.

📢 Connect & Learn More:
📱 Connect with Me:
Instagram: https://www.instagram.com/nazlouis_yt?igsh=MXRjcmcyMXRncjBtbw%3D%3D&utm_source=qr
Twitter/X: https://x.com/nazlouis_yt?s=21
Here is a detailed, SEO-friendly YouTube description tailored for your video. It uses the specific keywords and themes you provided to maximize reach.

Subscribe for more videos on AI tools, coding tutorials, and futuristic tech projects!

Comment Below: What is the first command you would give your own JARVIS?

Get the Code: https://github.com/nazirlouis/ada_v2

Building a fully autonomous AI hacking rig using OpenClaw running on a Kali Linux cloud server. 🔴 Use the code ZSECURITY to get up to 74% discount on Hostinger's VPS to host your own Kali machine with OpenClaw ;)👇
https://www.hostinger.com/zsecurity

Unlike standard AI chatbots, this agent has direct access to tools like Nmap, Metasploit, and the web browser - allowing it to actually execute the tasks you give it.

We’ll cover everything from setting up the cloud infrastructure to connecting the AI "brain" (using models like Claude 4.6 Opus or DeepSeek via OpenRouter) and configuring it to report back to your phone.

---------------------------------------------------------------
All Resources and links are included in the latest post in our website, zSecurity.
---------------------------------------------------------------
⚠️ This video is made for educational purposes only, we only test devices and systems that we own or have permission to test, you should not test the security of devices that you do not own or do not have permission to test. ⚠️
---------------------------------------------------------------
🧠 Learn how to use AI for Hacking and Hack AI in my Hacking Masterclass 👇
https://zsecurity.org/courses/....masterclass-membersh

🧠 My other hacking courses 👇
https://zsecurity.org/courses/
---------------------------------------------------------------
zSecurity Company - https://zsecurity.com/
Community - https://zsecurity.org/
Facebook - https://www.facebook.com/ZSecu....rity-145325078145828
Twitter - https://twitter.com/_zSecurity_
Instagram - https://www.instagram.com/zsecurity_org/
Linkedin - https://www.linkedin.com/company/zsecurity-org/
TikTok - https://www.tiktok.com/@zsecurity_org
---------------------------------------------------------------


⏱️ Timestamps:
0:00 - Intro: Finding CCTV cameras with AI
0:27 - What is OpenClaw?
1:35 - Why we run this on Kali Linux
2:12 - Setting up the Cloud VPS
3:57 - Creating Secure SSH Keys
5:15 - Connecting to your Cloud Kali Machine
6:06 - Securing your Server
7:44 - Installing OpenClaw
8:34 - Configuring OpenClaw
9:20 - Connecting the AI Brain (OpenRouter Setup)
11:50 - Linking to Telegram (Creating the Bot)
13:14 - Security: Setting up the Allowlist
14:15 - Waking up the Agent & First Prompt
15:35 - Installing Essential Skills (Stealth Browser & Search)
17:35 - The "Expert Hacker" System Prompt
19:00 - Demo 1: Locating CCTV Cameras
19:50 - Demo 2: Automated OSINT & Vulnerability Scanning
22:50 - Reviewing the Hacking Reports
24:15 - Conclusion & Next Steps

⚠️ DISCLAIMER: This video is for educational purposes only. The techniques demonstrated are intended to help security professionals and students learn how to secure systems and understand AI agent capabilities. Do not use these tools on systems you do not own or have explicit permission to test.

🏆 MY TOP PICKS + INSIDER DISCOUNTS: https://beacons.ai/savagereviews
I tried them all so you save time AND money! 🔥

🎬 In This Video:

🤖 Want to run AI locally and chat with your documents—without handing over your data or credit card? Meet AnythingLLM.

In this review, we dive into AnythingLLM by Mintplex Labs, the free, open-source desktop app that lets you:

Upload any file type (PDF, Word, CSV, even codebases)

Use any AI model you want (OpenAI, Anthropic, Claude, local LLMs, etc.)

Keep your data local and private with zero vendor lock-in

Collaborate with teams using built-in multi-user features & admin tools

Here’s what we cover:
✅ How the free desktop version compares to enterprise AI tools
✅ Why local privacy makes AnythingLLM stand out in 2026
✅ Community ecosystem: extensions, custom agents, slash commands
✅ Pricing breakdown ($0 for individuals, $50/month for teams)
✅ Who actually needs this vs. who should just stick with ChatGPT

The bottom line: AnythingLLM delivers what most AI wrappers overcharge for—true privacy, model flexibility, and a free local option that actually works.

👉 Download the free desktop version to see if it fits your workflow before paying for subscriptions you don’t need.

Disclaimer:
Some of the links in this description are affiliate links, which means that if you click on one of the product links, I may receive a small commission. This helps support the channel and allows me to continue to make videos like this. Thank you for your support!

What if you could carry a fully private, offline AI assistant in your pocket — and run it on ANY computer without installing anything? That's exactly what we're building today.
In this video, I walk you through the Portable AI USB project — an open-source setup that lets you run powerful large language models entirely from a USB drive using Ollama and AnythingLLM. No Wi-Fi needed after setup. No data sent to any server. Everything stays on your drive.

🔧 What's covered in this video:

What the Portable AI USB project is and why it matters
How to set up your USB drive (16GB minimum, 32GB recommended)
Running the install script and selecting your AI model

🧠 AI Models You Can Choose From:

NemoMix Unleashed 12B — Highest quality, uncensored (~7GB)
Dolphin 2.9 Llama 3 8B — Uncensored, versatile (~4.9GB)
Mistral 7B Instruct v0.3 — Strong reasoning (~4.1GB)
Qwen 2.5 7B — Multilingual support (~4.7GB)
Llama 3.2 3B — Lightweight & fast (~2GB)
Phi-3.5 Mini 3.8B — Small but sharp (~2.2GB)
Custom GGUF models from HuggingFace — bring your own!

📦 What you'll need:

A USB drive with 16GB+ free space (exFAT formatted)
A Windows or macOS computer
An internet connection for the initial download only


🔗 Links:
GitHub Repo: https://github.com/jarvesusaram99/Portable-AI-USB
Ollama: https://ollama.com
AnythingLLM: https://anythingllm.com
Find me anywhere: https://www.anubisdarkwatch.com

👍 If this helped you, smash that like button and subscribe for more privacy-first tech builds.
💬 Drop a comment below — which model are you running?
#ai #localai #privacytech #ollama #llm #offlineai #usb #anythingllm #opensource #aitools #portableai #llama3 #techtutorial #nocloud #aiprivacy

Scam Copilot is available for new users of Bitdefender Premium Security and superior plans. Find out more here: https://bitdefend.me/SCNetworkChuck

I’m replacing Amazon Alexa with my own, completely local AI voice assistant!! The amazing part is that it cleanly integrates with my home automation system, Home Assistant. Also, it’s using local LLMs like llama3.2 with Ollama. I think it’s finally time for you to replace your voice assistant with something local.


📜📜📜COMMANDS: https://oldacademy.networkchuc....k.com/blog/local-ai-

⚙️⚙️⚙️ PARTS LIST ⚙️⚙️⚙️
- Raspberry Pi 4: https://geni.us/mzJF55
- Raspberry Pi 5: https://geni.us/z0BVIc
- KEYESTUDIO ReSpeaker 2-Mic Pi HAT: https://geni.us/zRmnHr
- Raspberry Pi Speakers: https://geni.us/6GE5rW

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SUPPORT NETWORKCHUCK
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STUDY WITH ME on Twitch: https://bit.ly/nc_twitch

READY TO LEARN??
---------------------------------------------------
-Learn Python: https://bit.ly/3rzZjzz
-Get your CCNA: https://bit.ly/nc-ccna

FOLLOW ME EVERYWHERE
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Twitter: https://twitter.com/networkchuck
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Join the Discord server: http://bit.ly/nc-discord




AFFILIATES & REFERRALS
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(GEAR I USE...STUFF I RECOMMEND)
My network gear: https://geni.us/L6wyIUj
Amazon Affiliate Store: https://www.amazon.com/shop/networkchuck
Buy a Raspberry Pi: https://geni.us/aBeqAL
Do you want to know how I draw on the screen?? Go to https://ntck.co/EpicPen and use code NetworkChuck to get 20% off!!
fast and reliable unifi in the cloud: https://hostifi.com/?via=chuck

1. Tired of Alexa? Build a fully local AI assistant with Raspberry Pi.
2. No more cloud; let’s make privacy-first voice commands a reality.
3. Run a custom voice assistant using Home Assistant and Whisper.
4. Control your home offline with local voice automation.
5. Replace Alexa with your own AI using Piper TTS.
6. Setup a local AI assistant that answers like Terry Crews!
7. Customize wake words and commands with Home Assistant.
8. Fully local speech-to-text with Whisper, no cloud required.
9. Train your own AI assistant’s voice with Piper.
10. Learn how to integrate Ollama with Home Assistant.
11. Set up a private, offline AI voice assistant from scratch.
12. Privacy-focused home automation with a Raspberry Pi.
13. Create your voice assistant with a unique personality.
14. Offload voice processing to your AI server for speed.
15. Use the Wyoming protocol for secure, private voice commands.
16. Follow this step-by-step tutorial for a local AI assistant.
17. Achieve full voice control offline with Home Assistant’s Assist.
18. Level up with Whisper, Piper, and Ollama – no cloud.
19. Equip Raspberry Pi with the ReSpeaker Pi Hat for voice.
20. Make Raspberry Pi your private AI assistant’s powerhouse.
21. Step-by-step setup for DIY voice automation at home.
22. Use Open Wake Word for custom assistant wake commands.
23. Fully offline, voice-powered smart home with Whisper and Piper.
24. Achieve seamless voice-to-text processing locally.
25. Run your AI assistant on Raspberry Pi or a dedicated server.



#homeassistant #alexa #ollama

In this video, I show you how to run a fully unrestricted and private, offline LLM directly on your own machine. If you are a cybersecurity professional, Red Teamer, or Pentester, you know the pain of getting the "I cannot help with that" error when working on legitimate security simulations or code analysis. I also show you how to set up a full private AI with RAG!

https://docs.privategpt.dev/ov....erview/welcome/intro
https://dev.to/docteurrs/insta....lling-privategpt-on-

*00:00* - Introduction to Private AI and Setup Guide
*00:56* - Understanding AI Models and Exploring Hugging Face
*01:24* - Installing Ollama for Local AI Models
*02:00* - Running Your First Local AI Model
*04:15* - Understanding what is RAG in AI
*05:05* - Setting Up Windows Subsystem for Linux (WSL) for AI
*05:24* - Private AI Setup and Installation
*10:04* - Fine-Tuning AI with Your Own Data
*10:37* - Setting Up Your Own Private GPT with RAG

Setting up Private AI on your computer
Offline AI models like ChatGPT
Enhancing job performance with Private AI
Fine-tuning AI models for specific needs
Running AI without internet
Privacy concerns with AI technologies
Surviving a zombie apocalypse with AI
Connecting knowledge bases to Private GPT
Retrieval Augmented Generation (RAG) with AI
Installing WSL for AI projects
Running LLMs on personal devices
VMware deep learning VMs
Customizing AI with VMware and Nvidia
Private GPT project setup
Leveraging GPUs for AI processing
Consulting databases with AI for accurate answers
Running local private AI in companies
Guide to private AI
Future of technology with private and fine-tuned AI

Here is the actual uncensored prompt explaining it: https://www.linkedin.com/posts/maddyhivemind_been-messing-around-with-local-uncensored-activity-7418024051081797632-myHZ?utm_source=share&utm_medium=member_desktop&rcm=ACoAADXr8m0B6M1r3WOYZgX9cWPwo96f9XA-XPk

Video Idea: https://www.youtube.com/@UC9x0AN7BWHpCDHSm9NiJFJQ

--------------------------------------------------------------------------------------------------------------------------------------------
Join the Discord: https://discord.com/servers/th....ehivemind-1235399448

Want to actually learn Linux, not just commands? Take my training: https://hivemindacademy.org/catalog

Hack The Box Cybersecurity Training: https://hacktheboxltd.sjv.io/Cyb3rMaddy

My Other Links: https://linktr.ee/Cyb3rMaddy

Coming soon: David and Dawid's channel! 🚀 Join Dawid and me as we explore Artificial Intelligence, Machine Learning, Deep Learning & Coding.
Go subscribe: https://www.youtube.com/@davidanddawid

// PDF Reference //
Download PDF here: https://davidbombal.wiki/localdeepseek

// David's SOCIAL //
Discord: https://discord.com/invite/usKSyzb
X: https://www.twitter.com/davidbombal
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LinkedIn: https://www.linkedin.com/in/davidbombal
Facebook: https://www.facebook.com/davidbombal.co
TikTok: http://tiktok.com/@davidbombal
YouTube: https://www.youtube.com/@davidbombal

// MY STUFF //
https://www.amazon.com/shop/davidbombal

// SPONSORS //
Interested in sponsoring my videos? Reach out to my team here: sponsors@davidbombal.com

// MENU //
0:00 - Installing private offline LLMs
0:58 - Reasons to use private offline LLMs
03:37 - How to Install private offline LLMs
04:37 - Downloading a censored LLM
05:20 - Running prompts in censored LLM
06:34 - Downloading an uncensored LLM
07:21 - Running prompts in uncensored LLM
08:30 - Conclusion

deepseek
llama
ai
privacy
cybersecurity
local ai
private ai
private
deep seek r1
uncensored ai
uncensored models
lm studio
lmstudio

Please note that links listed may be affiliate links and provide me with a small percentage/kickback should you use them to purchase any of the items listed or recommended. Thank you for supporting me and this channel!

Disclaimer: This video is for educational purposes only.


#deepseek #llama #ai #privacy

Llama.cpp Web UI + GGUF Setup Walkthrough and Ollama comparisons.
Check out ChatLLM: https://chatllm.abacus.ai/ltf

My USB-C portable hub: https://amzn.to/4kw0hrf
👀 My favorite external drive (dependable): https://amzn.to/3Os9Wi3
👀 Thunderbolt 4 dock: https://amzn.to/3yVRicC

⚡ *Other gear I use:* https://www.amazon.com/shop/alexziskind

▶️ M2 MacBook Air | INSTANTLY connect 4K monitors - https://youtu.be/KLI65HnvNMg
▶️ Unity on Steroids M3 Max and RTX 4090m - https://youtu.be/COpEtHzdPG0
▶️ INSANE Machine Learning on Neural Engine - https://youtu.be/Y2FOUg_jo7k
▶️ Ultimate Web Developer MacBook - https://youtu.be/72fneIUHXyY
▶️ This is what spending more on a MacBook Pro gets you - https://youtu.be/iLHrYuQjKPU

▶️ Apple Silicon and Developers Playlist - https://youtube.com/playlist?l....ist=PLPwbI_iIX3aR88m

Developer productivity Playlist - https://www.youtube.com/playli....st?list=PLPwbI_iIX3a

— — — — — — — — —

❤️ SUBSCRIBE TO MY YOUTUBE CHANNEL 📺

Click here to subscribe: https://www.youtube.com/@AZisk?sub_confirmation=1

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📱LET'S CONNECT ON SOCIAL MEDIA

ALEX ON TWITTER: https://twitter.com/digitalix

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Join this channel to get access to perks:
https://www.youtube.com/channe....l/UCajiMK_CY9icRhLep


⏱️ Chapters
00:00 – Local LLMs, many stacks
01:05 – Building from source
04:15 – Picking a GGUF model
07:56 – New Llama.cpp Web UI
09:06 – Ollama UI & speed check
10:44 – Ollama’s concurrency limit
11:48 – Llama.cpp parallel chats

#llm #llamacpp #macbook

OpenClaw can be run for free forever using local ai models through Ollama. Models like qwen 3.5 can be setup to connect directly to Open Claw, so you won't be charged per token use like with Clade or ChatGPT.

In this video I'll show you how to setup Local Models, how to connect them to OpenClaw, and how to setup things like MCP to reduce the cost of doing large context queries or API calls.

🔶 Install MCP Tools via Zapier:
https://bit.ly/4ccnm0G

🦙 Install Ollama Setup
https://ollama.com/

The model I used for openclaw here was Qwen 3.5 however there are many other models you can use from Google, Meta, etc.

#openclaw #ollama #ai

Want to learn web design? ⭐ Check out my course! ⭐
📘 Teach Me Design - Course: https://www.enhanceui.com/

To run openclaw local models, you need to install openclaw local llm setup. This lets openclaw llm charge you only what electricity you use for your mahcine!

🛠️ Build your own AI Hub!! Run OpenWebUI on your own VPS with Hostinger (code networkchuck10): https://hostinger.com/networkchuckvps


AI is getting expensive…but it doesn’t have to be. I found a way to access all the major AI models– ChatGPT, Claude, Gemini, even Grok – without paying for multiple expensive subscriptions. Not only do I get unlimited access to the newest models, but I can also share it with my entire team, my wife, my kids– all while keeping full control over what they can access. Better security, more privacy, and a ton of features… this might be the best way to use AI.




RESOURCES:

🔧 Self-host OpenWebUI (On-Prem Installation Guide): https://youtu.be/JJ_0-pAOIEk
🌐 Turn OpenWebUI into a website (Domain + SSL Setup): https://youtu.be/BdH_yR_J3FQ


TIMESTAMPS:

0:00 - Intro
1:11 - The Plan (What is OpenWebUI?)
2:20 - The Cloud Option
5:02 - Install OpenWebUI
6:18 - Connecting ChatGPT API
9:06 - How Much Does This Cost?
13:06 - Using LiteLLM to do MORE








🔥🔥Join the NetworkChuck Academy!: https://ntck.co/NCAcademy



**Sponsored by Hostinger







SUPPORT NETWORKCHUCK
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➡️NetworkChuck membership: https://ntck.co/Premium
☕☕ COFFEE and MERCH: https://ntck.co/coffee

Check out my new channel: https://ntck.co/ncclips

🆘🆘NEED HELP?? Join the Discord Server: https://discord.gg/networkchuck

STUDY WITH ME on Twitch: https://bit.ly/nc_twitch

READY TO LEARN??
---------------------------------------------------
-Learn Python: https://bit.ly/3rzZjzz
-Get your CCNA: https://bit.ly/nc-ccna

FOLLOW ME EVERYWHERE
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Twitter: https://twitter.com/networkchuck
Facebook: https://www.facebook.com/NetworkChuck/
Join the Discord server: http://bit.ly/nc-discord




AFFILIATES & REFERRALS
---------------------------------------------------
(GEAR I USE...STUFF I RECOMMEND)
My network gear: https://geni.us/L6wyIUj
Amazon Affiliate Store: https://www.amazon.com/shop/networkchuck
Buy a Raspberry Pi: https://geni.us/aBeqAL
Do you want to know how I draw on the screen?? Go to https://ntck.co/EpicPen and use code NetworkChuck to get 20% off!!
fast and reliable unifi in the cloud: https://hostifi.com/?via=chuck


How to use AI without paying for subscriptions
Best AI alternatives to ChatGPT
Self-hosted AI tools you can use today
Stop paying for AI—here’s a better way
How to access all AI models for free
OpenWebUI tutorial: Run all AI models in one place
The best way to host AI yourself
How to set up OpenWebUI for AI access
Free ChatGPT alternative: Run AI yourself
Self-host AI and take control of your data
AI is too expensive—here’s how to fix that
How to use ChatGPT, Claude, and Gemini for free
The best self-hosted AI dashboard
How to host your own AI assistant
Secure and private AI hosting with OpenWebUI








#AI #OpenWebUI #SelfHostedAI

Start using n8n with a VPS via https://hostinger.com/ncn8n + use code NETWORKCHUCK for a discount.

🔥🧠 Check out our N8N COURSE on NetworkChuck Academy!: https://ntck.co/n8n_academy

You NEED to use n8n RIGHT NOW!! It’s a powerful, free, open-source automation tool that will change your life. It destroys Zapier and IFTTT thanks to its power, and its privacy. In this video, I’ll walk you through exactly how to set up n8n, explain the basics, and help you build your very first automation workflows. Grab your coffee, let’s automate EVERYTHING.


WALKTHROUGH / RESOURCES:

🏠 On-Prem Install Video: https://youtu.be/-ErfsM2TYsM
🌐 N8n’s official website: https://n8n.io


🔥🔥Join the NetworkChuck Academy!: https://ntck.co/NCAcademy



**Sponsored by Hostinger


TIMESTAMPS:

0:00 - Intro - What is N8n?
2:05 - set up cloud account
3:05 - Activate N8n
3:36 - Setting up an automation
6:42 - sending automation through nodes
8:54 - Configuring nodes
10:14 - creating limit node
10:40 - setting up command line node
11:45 - setting up merge node
14:00 - Implementing AI
17:58 - Creating 2nd work flow
19:22 - Creating edit field node
20:44 - Adding YouTube Channels
22:34 - adding filter
24:52 - AI agents




SUPPORT NETWORKCHUCK
---------------------------------------------------
➡️NetworkChuck membership: https://ntck.co/Premium
☕☕ COFFEE and MERCH: https://ntck.co/coffee

Check out my new channel: https://ntck.co/ncclips

🆘🆘NEED HELP?? Join the Discord Server: https://discord.gg/networkchuck

STUDY WITH ME on Twitch: https://bit.ly/nc_twitch

READY TO LEARN??
---------------------------------------------------
-Learn Python: https://bit.ly/3rzZjzz
-Get your CCNA: https://bit.ly/nc-ccna

FOLLOW ME EVERYWHERE
---------------------------------------------------
Instagram: https://www.instagram.com/networkchuck/
Twitter: https://twitter.com/networkchuck
Facebook: https://www.facebook.com/NetworkChuck/
Join the Discord server: http://bit.ly/nc-discord




AFFILIATES & REFERRALS
---------------------------------------------------
(GEAR I USE...STUFF I RECOMMEND)
My network gear: https://geni.us/L6wyIUj
Amazon Affiliate Store: https://www.amazon.com/shop/networkchuck
Buy a Raspberry Pi: https://geni.us/aBeqAL
Do you want to know how I draw on the screen?? Go to https://ntck.co/EpicPen and use code NetworkChuck to get 20% off!!
fast and reliable unifi in the cloud: https://hostifi.com/?via=chuck


“Why You Should Use n8n Instead of Zapier or IFTTT”
“How to Set Up n8n: The Ultimate Automation Tool”
“Automate Your Entire Life with n8n (Seriously)”
“The Best Open Source Automation Tool You’ve Never Heard Of”
“Build AI-Powered Automations with n8n”
“How I Automated My Home Lab with n8n”
“Zapier Alternative You Can Host Yourself (n8n Tutorial)”
“From Zero to n8n Master: Full Setup and Guide”
“How to Automate News, Emails, and AI Workflows Using n8n”
“n8n Tutorial for Beginners: Automate Everything”
“Stop Using IFTTT—Use n8n Instead!”
“n8n + AI = The Most Insane Automations”
“n8n Home Lab Setup: Monitoring, Automation, and More”
“How to Build a Private Automation Server with n8n”
“Automate Reddit, YouTube, and Hacker News with n8n”
“The Easiest Way to Build Your First Automation (n8n Tutorial)”
“Send Daily AI Summarized News Digests Using n8n”
“Best Open Source Workflow Automation Tool in 2025”
“Create an AI Agent That Monitors Your Network with n8n”
“n8n Setup Guide: Automate Your Entire Life (Locally)”


#automation #n8n #opensource

#NVIDIAPartner Learn how NVIDIA GeForce RTX PCs are powering AI: https://nvda.ws/3ZiqosD

AI Agents and locally run LLMs are revolutionizing workflows, offering unmatched privacy, speed, and cost efficiency. In this video, we explore how tools like AnythingLLM and NVIDIA GeForce RTX GPUs enable individuals to harness the next evolution of AI right on their personal machines. @NVIDIADeveloper @TimCarambat #AIonRTX

Business Inquiries:
contact@kgunderman.com

Timestamps:
----------------------------------------------------------------------------
Intro: (0:00)
Why People Are Running AI Locally: (0:50)
Why You Need a Good GPU To Run AI and AI Agents Locally: (1:31)
What are AI Agents?: (2:57)
How To Run AI Agents Locally: (4:13)
AI Agent Tutorial: (5:34)
Why AI Agents Are So Powerful: (10:40)
Outro: (12:50)