KevinSimback

People are competitive
We like to compete, we like to watch others compete, and we like to bet on the outcomes of others competing which is a form of competition itself
AI agents opens the design canvas for a whole new genre of competition
Looking fwd to my agents competing

🚀 Want FREE models you can plug into OpenClaw or Hermes?
Here are 9 resources you can use for free access to model APIs
No local setup, no credit card, just pure cloud APIs with OpenAI-compatible endpoints
You can’t get free Opus quality (yet) but all of these have genuine free tiers right now (rate limits may apply) and are good enough to get started if you don’t want to spend $ to get started with agents
1️⃣ OpenRouter Free Models
(Gemma 4 31B/26B, NVIDIA Nemotron 3 Super 120B MoE, MiniMax M2.5, Qwen3 variants, Llama 4/3.3, gpt-oss-120B, Arcee Trinity, etc.)
• ~29 completely free $0/M toke

Hire a teammate, not a tool - this is the future of agentic AI for enterprise
Most companies want AI agents that just do good work - they don’t want to get too involved in technical nuances of harnesses and model selection
They just want to choose an agent from a menu, arm that agent with any additional needed skills, and then be able to use it safely in their company environment
3 clicks and the agent is ready to work, spin them up or shut them down just as easily

The “AI maxxing” setup:
> Run SOTA open models at home on consumer hardware (multiple options: Mac Mini 64GB, pc with 3090/4090/5090)
> Run Tailscale or LM Studio with Tailscale for secure remote access
> Access models via phone/laptop anywhere for private free inference

There’s a real opportunity for an ambitious AI researcher to:
- create an evaluation framework for testing agent harnesses like Openclaw, Hermes, and all the other “claws”
- extend evaluation to different tools / configs so we know how performance changes with different setups
- run robust evals across diff models including local vs API
- benchmark and publish results, then do ongoing updates as the agents and models evolve
The opportunity is to be THE go-to source for objective agent benchmarks
Maybe someone is already doing this and I’m just not aware? Not one-off comps but real standard te

I’d rather have f*ck you skills than f*ck you money

Why run models locally?
Typically two main reasons - privacy and cost
Let’s explore the cost side with an example and see how it maths
Let’s say you want to run an Autoresearch loop overnight like @karpathy
If you have access to an H100, you can run 100 experiments overnight using Opus-4.6 and the API cost will likely be in the $10-25 range
But most of us are not lucky enough to have access to an H100
We can still run 100 Autoresearch experiments on a MacBook for the same $10-25, but it won’t be apples to apples
The H100 will complete 50-100x more training steps over the same timeframe
So if

Some personal reflections on AI
I started off studying CS at uni, but I was never a good coder
I took a corp finance class my junior year and aced it, I was far better at finance than coding so I switched majors
But I always had an inferiority complex towards people who could really code
I knew they could run circles around me when it came to building anything and I was at their mercy for technical dependencies
So I stuck to my Excel models and PowerPoints as my edge
Then working as a consultant at Goldman I met some real finance quants
Most of them could code AND they knew finance
Once again

Think like a Strategist, work like a Dev -> that’s the new model

Claude Max plans are like all-you-can-eat buffets
I’m already full, but sure, I’ll take another plate of tokens please

“Hey Kevin, you’ve been doing all this openclaw and agent stuff, are you more productive?”
100% yes, but at same time my intensity has ramped up with it
So if you think it’s a way to sit back and let agents work while you sip margaritas, that’s not been the case
I suppose it could be for some, but my natural inclination is to just do way more things in same amount of working hours
It’s a double-edged sword

AI agents is the “internet moment” of this generation
For startups it’s a chance to reimagine how products are built and work gets done
For enterprises it’s an operating model redesign that reshapes competitive positioning
For investors it’s an entirely new addressable market

Link to the analysis: