you need to be promptmaxxing. sorry, you need to stop prompting. you need to write loops. your loops need to be agentic. your agents need to be prompting your loops. you need recursive loops within your agentic workflows. you need to design while loops that constantly generate new agentic workflows from first principles. you need to migrate from human-first tokenmaxxing to agent-first loopmaxxing. you need to be a loop-pilled tokenmaxxed agentcore vibe coder. you are now in your loop era. be in your loop era. be loopy
@SheaSerrano Please can I have it! I love your books and podcasts and your writing. My favorite one ever is the one where you and @rembert argue about who is the best Knowles sister and you both argue in favor of Solange.
Most people forget that Mike Brown is first and foremost a defensive specialist who handled the 2022 Warriors' defense. Not to mention that he learned a thing or two about offense as Steve Kerr's main assistant.
We're seeing the fruits of that evolution as a head coach before our very eyes.
Good thought provoking post from Anthropic. I think this paragraph points to the key element of the optimistic scenario of AI:
“There has been an explosion of new ideas, initiatives, tools, and simulations, as a result of Anthropic employees working with highly capable models—far more than we have the capacity to pursue. The rate at which organizations can spot and fix these bottlenecks may be a skill that improves over time, and it may become the most important skill for any organization.”
AI lowers the barrier dramatically to allowing us to do more. As a result of that, we have far more ideas than we can pursue, and for the ones that we want to pursue we’re ultimately limited by our ability to go take on the surrounding work to execute those ideas. There’s almost no amount of AI progress that can happen where that goes away.
AI is going to let us build much more software, launch more marketing campaigns, research more drugs, and so on. All of this work, even when augmented by agents, still ultimately requires people to manage.
This guy wrote an entire blog post defending why he calls AI tools "clankers" instead of "agents."
People on Hacker News compared the word to a racial slur.
His response? Machines aren't people. Machines don't have feelings. And the word "agent" is doing real damage because it tricks people into thinking the AI is responsible for the output. It's not. You are.
I agree with him.
I've had people DM me frustrated that Claude "keeps forgetting everything" across sessions.
But when I ask if they built a context handoff file, a project knowledge base, or even a basic summary doc to carry between chats, the answer is always no.
They just expected the model to remember. Like it's a coworker who was in the room the whole time.
It wasn't. You're talking to a new instance every time. And if you didn't build the bridge, there is no bridge.
Nobody blames Excel when the spreadsheet is wrong. Nobody blames Google Docs when the memo is bad.
But we started calling AI tools "agents" and people heard "employees."
Call it a clanker, call it a tool, call it whatever you want.
Just remember: your prompt, your output, your responsibility.
Let me trace the timeline here because nobody's connecting it.
Step 1: Scrape the entire internet. Every book, every article, every conversation, every piece of art, every forum post. Do it without asking. Do it without paying.
Step 2: Train a model on all of it. Call it "artificial intelligence."
Step 3: Go to BlackRock's Infrastructure Summit and announce: "We see a future where intelligence is a utility, like electricity or water, and people buy it from us on a meter."
Step 3 is where you sell people's own knowledge back to them. On a meter.
They took the collective output of human thought, compressed it into a model, and now they want to charge you by the token to access a version of what you and everyone you know already created.
One Reddit user put it perfectly: "They stole all this data from us, the people, our life's work, creativity, art, by devouring the internet and blowing through all copyright laws. Now they want to sell it back to us in the form of a utility."
Imagine if someone photocopied every book in the public library, burned the library down, and then opened a subscription service for the copies.
That's the metered intelligence business model.
And they're pitching it to infrastructure investors as though they invented water.
✅ NEW @YahooSports: Over the weekend, SGA fell on shot attempts more than Brunson, Harden, Mitchell and Wemby combined.
Why does he do it so often? Probably because it works. I tracked how often he gets a foul call when he falls compared to his peers: https://t.co/YCMXwaroKd
@ShamsCharania I watched the game. It was inexplicable! It's outrageous to intentionally foul a 80+% shooter when there are worse shooters on the court. They did it multiple times! There were worse free throw shooters on the court that might have made a little sense. What they did made NONE.