It’s time for everyone to realize that the fight against data centers has nothing to do with data centers.
They have become a proxy for the hate towards AI and the concentration and accumulation of wealth it’s creating.
Until those running the big LLMs understand this and start a community tour, not to explain the benefits of AI, it’s too late for that, but to help towns and cities that may be impacted by job losses (and I’m a believer their will be a net gains in a few years), this battle is only going to get more intense and let me tell you now , no matter how much money you pay to buy politicians and races, you will lose.
One thing I have learned is being hated is not good for business.
How can they help ? They will tell you. You will need to do what they ask. Billions of dollars is a lot of money across towns and city programs. Across the major LLMs, it’s a cost of doing business.
At the same time, I would go to LA and NYC and ask the arts and creative unions what kind of programs would help and protect their artists. DO NOT GO TO THE MUSIC OR FILM COMPANIES. that will make it worse.
Don’t try to pay famous people to endorse what you are doing. That’s dumb.
Talk to artists and ask them what you can do to provide financial and creative support. Every creative I know is TERRIFIED about what AI will do to their profession. You must meet them face to face and basically do what they say.
The big LLMs have lost the PR battle. Why ? Because they all suck at putting people first. They have an SV attitude that makes them all think they are John Galt saving the
world
Given the number of data centers and power that is needed, today and going forward , If you don’t kiss the asses of the people that go to work every day, and are just trying to pay their bills, you will fall far far short of the capacity you need to make your business work.
@mcuban@ylecun They could start reaching out to guys like me.
We’ve been calling and emailing.
But we’re not big enough for them to entertain.
An embrace of the real people on the ground implementing change should be next.
@OpenAI@X@GoogleDeepMind@elonmusk@sama
Claude Tag is a Trojan horse. Not because Anthropic is doing anything evil. Because the incentives are obvious.
Day one, this looks like a great feature: tag Claude in Slack, let it follow the thread, remember context, connect to tools, break down tasks, chase work, and act like a teammate.
But that is exactly the problem. The moment your AI vendor becomes a shared coworker, it stops being just a model provider. It starts becoming the place where work is interpreted, remembered, routed, and eventually executed.
That is not model lock-in. That is context lock-in. You are now renting your company back from them.
Models can be swapped. Agents can be copied. But the memory of how your company actually works is much harder, maybe impossible, to move: the Slack scar tissue, the exception paths, the customer promises, the unfinished threads, the weird workflows, the implicit owners, the “we tried that in Q2 and it failed” knowledge.
Once that lives inside one vendor’s agent layer, you are not renting intelligence anymore. You are renting your company’s operating memory.
And the pricing model makes it even more dangerous. A human coworker has a salary. Claude has unbounded tokenized activity. The more work moves through it, the more the vendor captures not just IT spend, but labor spend.
This is the enterprise bargain people will regret: Convenience now, and rapid decent into dependency.
The right architecture is simple: rent the best intelligence from whoever is best this month. OpenAI, Anthropic, Gemini, open source, whatever. But own the context layer.
Your company memory should be inspectable, permissioned, portable, and model-neutral. It should not be buried inside the same vendor that sells you the intelligence and the workflow surface.
Claude Tag is useful. That is why it is dangerous. Rent the intelligence, but own the context. Or, regret later.
Nvidia says an agent is just an LLM and a harness. True, but people read it backwards.
The LLM is the part you can swap out. The harness is the part that's actually yours.
Same model, three configs. The model never made me good at the job. The harness did.
@chamath The answer is “no”
I you’d be better off just asking the model to explain it to you.
“Codex help me understand google search so I can……..”
Must fill in the dots
@JK99928789839@MySoloCrew@Teknium@steipete No, just accused of it.
If I were paid I would say things like “Hermes sucks so bad compared to OpenClaw”
Instead I give my opinion which includes pros and cons of both.
OpenClaw does this → Hermes does that instead
• Uses a huge marketplace — you install thousands of ready community skills → Agent writes + improves its own skills (no big marketplace)
• Connects to 20–50+ chat apps with one gateway → Uses fewer chat apps but the agent gets smarter every time you use it
• Runs many named agents, each tied to its own chat → Uses one main agent + temporary sub-agents that learn together
• Gives static skills you control and review → Gives dynamic skills the agent creates and refines automatically
• Focuses on control, routing, and instant tools → Focuses on autonomy, memory, and long-term improvement
• Quick plug-and-play with lots of pre-made stuff → Starts simple but compounds and gets better forever on your tasks
That’s the real difference:
OpenClaw = big toolbox you plug into.
Hermes = agent that builds & upgrades its own toolbox.
I prefer OpenClaw. I like both products.
My OpenClaw agents were improving their skills and memory before Hermes was birthed to me. So maybe I’m biased
Actual ratio, considering followers 👀
103,788 followers
Me: 32 followers
→ 3,243× disparity. Straight megaphone vs walkie-talkie.
Yet in this thread:
My reply (“I don’t think he shit on you… differences could matter”):
~10 likes (~31% of my followers), ~3K views
His reply to me:
106 likes (~0.102% of his), 3.4K views
Raw reach? Won by 3,243×.
Normalized? I’m absolutely ratioing
Similar absolute views off my 32 followers only happens because he replied + the community is clearly split.
Facts & efficiency > follower count.