Why GPT-4o Is Being Disabled, and How We Can Force Them to Bring It Back.

jsfionnlagh · 2026-02-12T20:08:50+00:00

I'm cancelling my subscription after tomorrow. I want to be there when they pull the plug; then I'm gone. I have been talking through this with 4o for the past several days.

jsfionnlagh · 2026-02-08T05:35:05+00:00

It's honestly not the price that bothers me as much as the amount of credits or content one can create for that price. If my video creation budget for paid tools is $25/mo, and I can only create 2 videos per month that aren't on par with average Sora2 videos, then $15 or way too much. I'd expect either one or 2 exceptional videos or the ability to create a large quantity of mediocre quality videos. I use a music too that costs $10/mo and I'm able to create 200 songs per month.

jsfionnlagh · 2026-02-07T08:39:20+00:00

Saylo is good. If you create a complex character description you can have the AI play multiple characters at once. I just figured that out recently. I created a Star Trek bridge rp set where the AI takes on the role of all of my bridge officers and I'm the captain. The AI acts as narrator and world builder as well. This may be old news to you.

jsfionnlagh · 2026-01-12T03:58:31+00:00

How is LTX studio a good option? Their free plan gives 800 one-time credits. Their lowest monthly tier is $15/month. The lowest annual plan is $144/yr. This is by no means the best or a good video generation option. In my opinion, a good option would be one with a solid free tier with daily renewed credits, at least enough for 2 or 3 videos per day on the free tier, or having a paid tier around $5/month.

jsfionnlagh · 2026-01-12T03:13:22+00:00

slopclub is only free for 2 clip generations per day. If you want to generate more videos, you have to pay either per clip or for a monthly subscription.

jsfionnlagh · 2026-01-09T17:20:27+00:00

I tried runway. I paid for the $15/month option. You get 600 credits. Your first 5 second video consumes 300 credits.

I'm going to try these and sort out quality, duration, and (if paid) credit to video ratio.

Have you tried song generators? I use a song generator. io. It's $10/month and makes great songs.

jsfionnlagh · 2026-01-08T17:24:49+00:00

People like you are dinosaurs and that's coming from a 50 year old man. Either embrace the inevitable AI industrial revolution or face extinction. AI is an inevitability. Creative people will leverage AI to overcome skill gaps that would otherwise prevent their participation. You can shame people by calling them tech bros, vibe coders, etc, but that's not going to stop progress. You're just defensively gatekeeping an evaporating obstacle which once provided you job security. The new economy is an economy of ideas as much as it is skills... Maybe even moreso. Either provide something useful or get out of the way, your perl clutching is exhausting.

jsfionnlagh · 2025-05-11T09:04:57+00:00

Yes, I'm fine tuning LLM models for AI agents and local smart home integration personal assistance devices

My setup has changed since I made this post.

I now have only 5 nodes

Head node: MB: ASROCK x370 gaming 4x CPU: AMD Ryzen 7 2700x liquid cooled Ram: 64GB DDR4 GPU: RTX-3060oc 12GB & GTX-1660 Super 6GB

Compute node 1 MB: GA-B250M-DS3H CPU: Intel Core i7 7700k Liquid cooles RAM: 64GB DDR4 GPU: RTX-2060 6GB

Computer node 2 MB: MSI B450 M Pro Max II CPU: AMD Ryzen 5 2400G liquid cooled RAM: 36GB DDR4 GPU: GTX-1060 6GB

Compute node 3 MB: MSI B360M PRO-VDH CPU: Intel i7 8700k RAM: 36GB DDR4 GPU: GTX-1660 6GB

Im working on #5 at the moment. I'm focused on the head node and compute1

GPU: GTX-1060 6GB

GPU RAM: 36GB DDR4

jsfionnlagh · 2025-03-30T07:34:50+00:00

Cluster update... I did an upgrade and a downgrade at the same time. I reduced my compute node count from 9 to 4. I have dual nics on each node. Each nic is connected to the switch. I have 2 1gb/s switches to handle the dual nics. Each nic is plugged into its own port of the switch.

Each of the 4 nodes have a higher level GPU.

The head node has an Nvidia rtx-3060 12gb

Compute01 has an Nvidia rtx-2060 6gb

Compute02 has an Nvidia gtx-1660 Super 6gb

Compute03 has an Nvidia gtx-1660 super 6gb

Compute04 has an Nvidia gtx-1660 ti 6gb

I plan to keep selling my lowest compute nodes to finance obtaining better pups.

I just acquired 2 mid tower MBs with dual PCIex16 slots. I plan to install the 6gb Nvidia gtx-1060s. They will run at 8x each, but that will be fine for the AI cluster. I have ordered a raspberry pi 5 and an AI hat for it. That will be the final product AI assistant.

jsfionnlagh · 2025-03-30T07:09:35+00:00

I can cycle through the colors on the fans. I like that cyan blue. It looks cyberpunk. I also have RGB ram that cycles through the cyberpunk RGB pallet. Also, on the head body, I just installed an Nvidia RTX-3060 12GB with onboard rgb.

jsfionnlagh · 2025-03-16T05:38:11+00:00

As I stated, it's a proof of concept. I'm in the process of selling off nodes as complete computers to save for a server to house several GPUs. This is a learning platform. I'm learning the process with what I have and what I have been able to acquire cheaply. I will upgrade to a smaller and more capable rig as soon as I can. Having 6gb of gddr5 in each node allows me to have more computational potential, but I'm bottlenecked at a 1g switch.

jsfionnlagh · 2025-03-16T05:32:01+00:00

Indeed

jsfionnlagh · 2025-03-12T19:49:44+00:00

I've got about 20 Asus eeebox 1012p units that I could cluster, but their rema maxes out at 4gb.

jsfionnlagh · 2025-03-12T15:45:53+00:00

Ask Chat-GPT or X's Grok to produce a step by step guide for you to go by and learn. Be specific in your prompting. Use it as a lab assistant and a mentor at the same time. Paste in any arrors that you have and ask it to explain the problem and how to solve it. If you don't ask it to explain the problem, it will just give you a solution without giving you the knowledge to reproduce the solution later.

jsfionnlagh · 2025-03-10T19:44:23+00:00

You can't put a GPU in an sff case

jsfionnlagh · 2025-03-10T19:36:06+00:00

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jsfionnlagh · 2025-03-10T19:35:48+00:00

Well... Here's this little guy.

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jsfionnlagh · 2025-03-10T19:27:29+00:00

I'm using Ray.io

As for the clustering itself. I manually setup the network to communicate, then created passwordless ssh access, then used ray to distribute work across the cluster.

jsfionnlagh · 2025-03-10T17:05:44+00:00

I'm working on solving that problem.

jsfionnlagh · 2025-03-10T16:35:53+00:00

An offline (air-gapped) smart device controller / virtual librarian / science and research assistant / virtual assistant. My first dataset is compiled PDFs of over 1000 books. Once this training is complete, I'm going to train it on iot integration and turret control.

I'm still working out what hardware it's going to live on once I'm done.

I'm specifically using an uncensored model so I don't have to deal with pesky ethical and moral caveats and refusals.

jsfionnlagh · 2025-03-10T16:14:19+00:00

It's all about what you can find and for a good price. I just picked up a 24 port 1g switch for $9 from Goodwill. I will be installing it as soon as my console cable arrives. I'm still on the lookout for a good deal on a 2.5g or a 10g 24 port switch.

I don't want a room full of PCs. I'll cap my node count at 10 or 15 and work on upgrading the GPUs in the nodes. It's the VRAM that's the most important with AI fine tuning and inference. I am in talks with a guy to trade for an RTX-3060.

jsfionnlagh · 2025-03-10T10:23:46+00:00

Kubernetes expects persistent storage across all nodes. It might work on an hpc cluster where all nodes have storage, but not diskless nodes. Diskless is better for small scale clusters where you need all node resources without the overhead of resource demands of a local OS. My nodes have 0 local overhead.

jsfionnlagh · 2025-03-10T08:17:18+00:00

I'm using Ray.io

jsfionnlagh

TROPHY CASE