Welcome to my channel.
My goal is simple: help people understand technology deeply and use it with purpose.
On this channel we explore:
• AI
• Software Engineering
• Distributed Systems
• Decentralized Technology
• The philosophy of building technology that benefits humanity
I share practical knowledge from my experience building large-scale systems, working in the tech industry, and researching the future of AI.
You will find videos about:
• How modern AI systems work
• Building software the right way
• Decentralized AI and compute networks
• Engineering principles and architecture
• Thoughtful discussions about the future of technology
Technology is a force that shapes the future of humanity.
My hope is that this channel helps you navigate the ocean of knowledge, develop real technical skills, and build things that make the world better.
Disclaimer:
All opinions, demonstrations, and experiences shared are my own and do not represent any employer, organization, or sponsor.
Hassan Habib
PeerLLM Host v1.7.1 is out.
This release is focused on helping hosts get the best possible performance out of their machines.
I added auto-benchmarking so hosts can test different compute modes and find the configuration that produces the fastest tokens per second.
I also improved memory management, GPU utilization detection, pre-flight capacity checks, host communication, and general system stability.
This is not just about adding more features. It is about making the network more predictable, more efficient, and more reliable as it grows.
PeerLLM is becoming stronger one host at a time.
blog.peerllm.com/2026/05/03/v1.7.1-announcement.ht…
2 days ago (edited) | [YT] | 72
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Hassan Habib
There is something in human beings that no AI system can model. I'm not talking about creativity, empathy or anything like that.
I'm talking about a decision made with no data, no precedent, no evidence which turns out to be exactly right, at exactly the right moment and the right place.
In this article, I wrote about finding purpose in the age of AI - why using AI to elevate people rather than erasing them is the best business decision for humanity.
Enjoy the read.
hassanrezkhabib.substack.com/p/purpose-in-the-age-…
3 days ago | [YT] | 20
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Hassan Habib
Humble Bundle just dropped 700+ dollars worth of Packt books in C# .NET Blazor MAUI and ASP.NET for just 30 dollars check it out here:
www.humblebundle.com/books/c-and-net-mega-bundle-2…
1 week ago | [YT] | 58
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Hassan Habib
PeerLLM v1.6.0 is here, the multi-model release!
This one reshapes how the app handles models and conversations:
0/ Multiple models loaded at once. Switch between them instantly, no reload wait.
1/ Parallel chats. Run several conversations side by side with fully isolated context.
2/ Smarter memory management. Pre-flight VRAM checks, intelligent eviction, and clearer error messages so you always know what's happening on your GPU.
3/ Eviction warnings. No more surprises when memory gets tight.
4/ Required host updates. Keeping the network on compatible code.
5/ Token code redemption in the hosts portal. Top up your PeerLLM API balance instantly, no support ticket needed.
A huge thank you to everyone who sent feedback, filed issues, and pushed us to make v1.6.0 what it is.
Read the full release notes here:
blog.peerllm.com/releases/peerllm/2026/04/18/v1.6.…
2 weeks ago | [YT] | 22
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Hassan Habib
"You can shine no matter what you're made of."
- Bigweld
2 weeks ago | [YT] | 31
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Hassan Habib
I just published a paper on something I've been thinking about for a while: what makes a network of AI machines actually feel like one smart service?
Everyone focuses on building better models. But if you're running AI across many independent machines with different hardware, different models, different reliability the hardest problem isn't the models anymore. It's coordination.
Who handles which request?
What happens when a machine stalls halfway through an answer?
How do you keep response times fast when some hosts are slow?
Who gets paid when two machines race and only one wins?
LLooMA is my attempt at an answer. It's not a new model. It's the decision layer that sits above a network of machines and turns one user request into one execution strategy on deciding when to split the work, when to race hosts in parallel, and how to recover gracefully when things go wrong.
My paper argues that this coordination layer is itself a form of intelligence, and that decentralized AI won't work without taking it seriously.
Happy to discuss this is early work and I'd welcome pushback.
blog.peerllm.com/assets/files/llooma-whitepaper-v1…
3 weeks ago | [YT] | 19
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Hassan Habib
PeerLLM v1.4.0 is live.
Faster hosts. Smarter control. Real momentum.
You can now:
0/ Pre-load models for instant response
1/ Control memory and avoid VRAM issues
2/ Schedule your host availability
3/ Go offline anytime
4/ Run quietly in the system tray
We’re also entering payout testing at $25 per host.
To everyone running a host right now, especially early subscribers... thank you.
You are helping build a global decentralized intelligence.
Read the full announcement here:
blog.peerllm.com/peerllm/release%20notes/2026/04/0…
4 weeks ago | [YT] | 37
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Hassan Habib
The Standard is now available as an AI Agent skill on skills.sh:
skills.sh/hassanhabib/the-standard-skills
here's how you can install it for any AI agent you want:
npx skills add hassanhabib/the-standard-skills
You will be able to select everything about The Standard aspects such as:
0/ Core principles
1/ Architecture
2/ Practices
3/ Coding Guidelines
4/ Testing
The Standard is an open-source engineering theories, principles and practices that helped shape some of the most complex enterprise systems in the last 10+ years.
Check out The Standard book here:
github.com/hassanhabib/the-standard
Checkout The Standard Skills repo here:
github.com/hassanhabib/the-standard-skills
1 month ago (edited) | [YT] | 23
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Hassan Habib
The real risk isn’t that machines gain intelligence, it’s that humans lose purpose
1 month ago | [YT] | 11
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Hassan Habib
AI is only as smart as the one using it.
1 month ago | [YT] | 19
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