IronWolve

Still using my 8gig m1 to make mac builds, its slow, but works fine. Keep thinking about upgrading, but max 32gigs ram, if I can hold out for 2 years, and maybe have 64/128gig as options, and cheaper.

Been running versions of this on my pc, if you have 64 gigs ram, you can run it on a 12+ gig cards easily.

Been using oh-my-posh in powershell, and some aliases to map commands for my old linux sysadmin brain. Everything mostly works to get the job done, even got vi and scp. Its just another tab in my windows terminal with my ubuntu tabs.

Wrote my own harness with a built in multi llm provider smart proxy. And all work is done in sandboxes on bubblewrap on linux and ms sandbox on windows.

I just wanted more control over tool calls, and a pretty interface, everything is logged.

I routinely feed my logs into claude/codex to optimize my harness and spot errors. Guess thats one way to do it.

Maybe the lite? I'm running the OG.

Getting about 200 tok/s on a 5090 with 64 gigs of ram, running the swift iq2_xs quant, ukisai/Swift-1.5-Qwen3.8-Flash-Next-GSQ-RCO-GGUF with strata. There are other smaller flash next quants if you have 8gig vram too.

Not talking about chatbots or office work, talking about new cancer screenings, materials, medicines, advancements in fusion energy, etc.

The high end sectors using these servers are paying way more than joe consumer and his 30 bux a month. We are already seeing justification for the boom, and I'd expect even more advancements to come in multiple sectors. That number is missing from the article.

I wrote a small proxy that points points to a jev api and a frontier api. My harness connects to the proxy and only sees the frontier api, models, commands, etc. When I send prompts with tool calls, proxy routes to jev, jev narrows the tools, proxy cleans/sends to the frontier api.

So far in my tests, about 60% less tool calls. I'm also going to implement model switching, so it can use cheaper models. I think my workbench harness needs its prompts cleaned up.

I'm going to guess that google is afraid of the age of AI, they should be, those API's will be reverse engineered pretty quick. Lots of bad actors will using AI.

We live in a time, if you want to build an android app, you easily can, but installing will be harder due to google concerns.

Google bans users using third-party tools with Antigravity/Gemini subscriptions, so you have to be careful. They say they dont ban the entire accounts, but they do.

I noticed some websites dont have proper refer and embedded youtube videos give a 153 errors. Had chatgpt debug the error, told me to install a header plugin and how to configure it. Fixed the problem.

We live in a time where you can make a game you always wanted, and its easier now for you to code it. Think everyone made a couple games for fun. I just put mine on github. /shrug