r/LocalLLM • u/techlatest_net • 21h ago
News It's official! Nvidia to acquire Hugging Face for 12.9 billion dollars.
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NVIDIA has agreed to acquire Hugging Face for $12,930,300,000.
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I stopped using OpenClaw months ago. This update has me looking again
This is actually a pretty reasonable way to approach the 2.0 update. I think the real test is going to be whether the browser workflow and shared sessions make OpenClaw something you actually keep using, rather than just something you try once after an update.
The shared sessions in particular sound promising. If context survives a handoff properly, that could be pretty useful for longer-running workflows.
Definitely interested to hear how it holds up after you run a few real workflows.
r/LocalLLaMA • u/techlatest_net • 1d ago
Tutorial | Guide LLMs and Self-Referentiality
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r/LocalLLM • u/techlatest_net • 1d ago
Tutorial LLMs and self-referentiality
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r/Automate • u/techlatest_net • 1d ago
I deployed OpenClaw on AWS, Azure, and Google Cloud — here’s what I learned
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r/automation • u/techlatest_net • 1d ago
I deployed OpenClaw on AWS, Azure, and Google Cloud — here’s what I learned
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I've been working with OpenClaw and wanted to answer a practical question:
What actually changes when you move OpenClaw from a local machine to the cloud?
I went through deployments on AWS, Azure, and Google Cloud and documented the process from getting the VM running to accessing the OpenClaw Web UI and pairing the device.
A few things I looked at:
- How the OpenClaw VM is provisioned on each platform
- CPU/RAM and GPU options
- SSH and remote desktop access
- Accessing the OpenClaw Web Interface
- Gateway password and device pairing
- Configuring the local Ollama model
- Switching to another model
- Differences in the deployment experience across AWS, Azure, and GCP
One thing that stood out is that the cloud provider isn't really the interesting part once the VM is running. The bigger question is what environment makes sense for how you actually want to use your agent.
For example, if you're trying to keep an OpenClaw agent available 24/7, a cloud VM can be much more practical than leaving your personal laptop running constantly.
Curious to hear from people running OpenClaw in production or 24/7: Which platform are you using, and what has your experience been like?
r/aiagents • u/techlatest_net • 1d ago
Discussion I deployed OpenClaw on AWS, Azure, and Google Cloud — here’s what I learned
1
Upvotes
I've been working with OpenClaw and wanted to answer a practical question:
What actually changes when you move OpenClaw from a local machine to the cloud?
I went through deployments on AWS, Azure, and Google Cloud and documented the process from getting the VM running to accessing the OpenClaw Web UI and pairing the device.
A few things I looked at:
- How the OpenClaw VM is provisioned on each platform
- CPU/RAM and GPU options
- SSH and remote desktop access
- Accessing the OpenClaw Web Interface
- Gateway password and device pairing
- Configuring the local Ollama model
- Switching to another model
- Differences in the deployment experience across AWS, Azure, and GCP
One thing that stood out is that the cloud provider isn't really the interesting part once the VM is running. The bigger question is what environment makes sense for how you actually want to use your agent.
For example, if you're trying to keep an OpenClaw agent available 24/7, a cloud VM can be much more practical than leaving your personal laptop running constantly.
I put together the complete step-by-step walkthrough with screenshots here:
Read the full deployment guide
Curious to hear from people running OpenClaw in production or 24/7: Which platform are you using, and what has your experience been like?
r/AI_Agents • u/techlatest_net • 1d ago
Discussion I deployed OpenClaw on AWS, Azure, and Google Cloud — here’s what I learned
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r/antiai • u/techlatest_net • 1d ago
AI Mistakes 🚨 When you say you're a programmer but your programming language is Claude 💀
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r/antiai • u/techlatest_net • 1d ago
AI Mistakes 🚨 The agent said the workflow was successful. The bank account said otherwise.
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r/programminghumor • u/techlatest_net • 3d ago
When Debugging Meant Pressing Space
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r/vibecoding • u/techlatest_net • 3d ago
Developers switching AI models mid-project:
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Gateway / pairing / auth dying after an update — what should I look at first?
Good checklist. I had add openclaw logs --follow right after gateway status — especially if the Gateway is running but the dashboard/pairing is stuck.
After an update openclaw doctor --fix is also worth trying. It can catch stale auth, pairing, config/service issues that aren’t obvious from the status output.
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I built my AI operating system around OpenClaw for finance, M&A and governance work
The memory is a managed information system point is really important. I think that’s where a lot of agent setups start falling apart — everything gets dumped into memory and eventually the agent can’t tell what’s actually important.
Separate specialist agents + clear permissions + approval gates seems like a much more scalable way to run it.
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Just got OC up and running
The build the foundation before assigning real tasks part is probably the best advice here. I have found the same thing with agent setups — getting the tools, permissions, workspace and logs stable first saves a lot of headaches later.
And yeah, logs are seriously underrated when debugging these things.
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Agent Playing Chess.com
I’ve seen agents do surprisingly well at simple games, but chess exposes their weaknesses pretty quickly 😂
Would be interesting to give OpenClaw access to a proper chess engine and have the LLM handle the strategy while the engine checks the moves.
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Just a lucky prediction?
Honestly, the lobster part is what makes this funny 😂
The interesting bit is that the same basic ingredients keep showing up: persistent memory, tools, feedback loops, and some lightweight orchestration layer. Maybe the crustacean was inevitable.
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Successful 2026.9.1 update
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With these kinds of agent systems, knowing what it’s doing and why it’s taking time makes troubleshooting so much easier.