Daidraco
<Gold Donor>
- 11,259
- 12,203
no one cares about ai
oh thats how you get them to care about ai
It poofed.
no one cares about ai
oh thats how you get them to care about ai
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is this smart???
Can't speak for spreadsheets but Claude has been a generational leap in technology. I am using it to write nearly 100% of my code in production.So is it worth paying money to use any of this shit yet? I’m having a shit time trying to get ChatGPT to make a spreadsheet with any level of complexity to it like formulas or tabs with drop downs etc. it did a decent job just spitting out the basic stuff.
I have subs to OpenAI, Anthropic, and X/SuperGrok. All are amazing and incredibly useful. Can create just about anything.So is it worth paying money to use any of this shit yet? I’m having a shit time trying to get ChatGPT to make a spreadsheet with any level of complexity to it like formulas or tabs with drop downs etc. it did a decent job just spitting out the basic stuff.
Right, if I run out of one, I'll switch to the ohter. Or if I have something I feel is more complex, I'll use Fable for example. Grok 4.5 is pretty damn good too.More tokens. More choice of what models you can use those tokens on.
For Claude you get access to the latest models and a varying amount of tokens. Now it becomes tokenomics.What does the subscription get you? I've been mostly using Gemini and I find it super useful but I don't know what I would want to pay for.
Eh, I think that's all a marketing ploy. I'm sure the training is expensive, but I think the costs of actually running the models is overblown. The top open models may not be quite as good as Claude, but they're probably in the same ballpark of cost to run, and 3rd party providers offer then at a fraction of the cost. And the models are getting MUCH more efficient. I've posted it a few times before, but anyone with a good gaming pc can run a local model today better than Claude from a year ago.I heard someone describe the current AI business model as "selling hundred dollar bills for a buck". I wonder how affordable it will be if this eventually shakes out into a couple of huge companies and the rest go bankrupt.
I've had odd issues with MCP control a couple of times. Both times I ended up bypassing the issue by adding a script to whatever i was working on that would listen for commands from the source box. I would have thought that would be essentially the same thing, but it worked when the MCP didn't /shrug.OK. so maybe some folks around here have had some experience with some of these so can give some insight.....
AI home lab :
Main box :
New Box :
- i7, 32GB RAM, Nvidia 4070 with 12G and Nvidia 3060 with 8GB. (32GB RAM upgrade inbound for this one)
- Linux based
- Running Open WebUI as the AI front end, with Ollama on the back end.
- Currently running Qwen3:14b (nicely spread across GPUs)
- External Google CORAL AI coprocessor dongle for eventual DVR use. (going to install Frigate)
My goal was to get the AI box to act as my "sysadmin" and configure crap for me I wanted on the second box. Mostly as a test of how well it might be able to work. Seems pretty straight forward. Install an MCP on the new box, tell the model about it, let is ping the MCP for manifest of commands, and then get to work. I've set up MCPs before and connected them to models. But this just refuses to work. I put the details of the new box into Open Webui as a new integration (openapi method, shared secret for auth). I dig down to the point of watching logs on both systems for the processes. The Open Webui system is never making a call out to get the manifest, even though when I set it up and hit "test connection" it said it connected fine. Never opening the connection at all. Obviously new box is twiddling it's thumbs waiting for something to happen.
- i7, 64GB RAM, No GPUs yet, starting off it's life as a huge ass RAID based storage blob for now. (5x 8TB drives, striped with parity)
- Also Linux
Anybody else hit a roadblock like this? I spent half of Friday going through every troubleshooting reference I could find, including asking other "bigger brained" AIs for help. No dice...
In my case I figured the MCP structure should have been easier. One core MCP, and subordinates running off it from the various things which will eventually be on that machine. (OS right now, NAS next on it, then it will become the new home automation server) But you're right, in this case I might just have to go the script route. It's just strange that I've connected other openAI format MCPs to it and it just won't even say hello to this one.I've had odd issues with MCP control a couple of times. Both times I ended up bypassing the issue by adding a script to whatever i was working on that would listen for commands from the source box. I would have thought that would be essentially the same thing, but it worked when the MCP didn't /shrug.
If you are running multiple cards, you might want to think of using llama cpp. I heard it drastically improves multi card performance. I think there is another one that's even better for multigpu, but I can't think of it atm.OK. so maybe some folks around here have had some experience with some of these so can give some insight.....
AI home lab :
Main box :
New Box :
- i7, 32GB RAM, Nvidia 4070 with 12G and Nvidia 3060 with 8GB. (32GB RAM upgrade inbound for this one)
- Linux based
- Running Open WebUI as the AI front end, with Ollama on the back end.
- Currently running Qwen3:14b (nicely spread across GPUs)
- External Google CORAL AI coprocessor dongle for eventual DVR use. (going to install Frigate)
My goal was to get the AI box to act as my "sysadmin" and configure crap for me I wanted on the second box. Mostly as a test of how well it might be able to work. Seems pretty straight forward. Install an MCP on the new box, tell the model about it, let is ping the MCP for manifest of commands, and then get to work. I've set up MCPs before and connected them to models. But this just refuses to work. I put the details of the new box into Open Webui as a new integration (openapi method, shared secret for auth). I dig down to the point of watching logs on both systems for the processes. The Open Webui system is never making a call out to get the manifest, even though when I set it up and hit "test connection" it said it connected fine. Never opening the connection at all. Obviously new box is twiddling it's thumbs waiting for something to happen.
- i7, 64GB RAM, No GPUs yet, starting off it's life as a huge ass RAID based storage blob for now. (5x 8TB drives, striped with parity)
- Also Linux
Anybody else hit a roadblock like this? I spent half of Friday going through every troubleshooting reference I could find, including asking other "bigger brained" AIs for help. No dice...
I’ve read llama runs more efficiently in general than ollama. Have been meaning to switch over but my local usage isn’t too demanding at this pointIf you are running multiple cards, you might want to think of using llama cpp. I heard it drastically improves multi card performance. I think there is another one that's even better for multigpu, but I can't think of it atm.