(P)hillip Alexander

VP of Applied AI at @Swan | Fiat Minimalist | Rapscallion

[(P)hillip Alexander @phjlljp]

@HodlMagoo Nailed it.

[terminally onλine εngineer @tekbog]

people misunderstand what AI does
it accelerates everything
even incompetence

[(P)hillip Alexander @phjlljp]

@crsanchezx Man made horrors beyond comprehension

[(P)hillip Alexander @phjlljp]

How to write AI prompts like a BOSS?

[Theo - t3.gg @theo]

@ziggydakid The goal isn't to tell the model where things are in your codebase. The goal is to give the model the same flavor of psychosis as you

[(P)hillip Alexander @phjlljp]

@jeremyshowalter @vigil_protocol 🔥🤩💫

[(P)hillip Alexander @phjlljp]

@CorySwan 🔥🤙🎉

[Cory 🦢 Real Bitcoin @ Swan.com @CorySwan]

https://t.co/RbDI1D7q1n

[(P)hillip Alexander @phjlljp]

Never tell me the odds

[(P)hillip Alexander @phjlljp]

@AaronWise5147 @ZachNunn

[(P)hillip Alexander @phjlljp]

@TheGoblinDude @BitcoinMagazine @q_liketheletter @ChrisAlaimo6 @elonmusk

[Elliot Arledge @elliotarledge]

https://t.co/1P1kmeVhgK

[(P)hillip Alexander @phjlljp]

@AaronWise5147 I'm here for it

[(P)hillip Alexander @phjlljp]

@bradmillscan @TeddyBitcoins @Pledditor @mattkratter @stacyherbert @niftynei ALL THE WAY

[(P)hillip Alexander @phjlljp]

@AaronWise5147 All of them 😬

[(P)hillip Alexander @phjlljp]

@Jonatha14410794 @cryptopunk7213 @grok is this a fair critique?

[(P)hillip Alexander @phjlljp]

@DanielMiessler Damn. That status line is LIT

[Todd Saunders @toddsaunders]

The token cost to build a production feature is now lower than the meeting cost to discuss building that feature.

Let me rephrase.

It is literally cheaper to build the thing and see if it works than to have a 30 minute planning meeting about whether you should build it.

It’s wild when you think about it.

This completely inverts how you should run a software organization. The planning layer becomes the bottleneck because the building layer is essentially free. The cost of code has dropped to essentially 0.

The rational response is to eliminate planning for anything that can be tested empirically. Don’t debate whether a feature will work.

Just build it in 2 hours, measure it with a group of customers, and then decide to kill or keep it.

I saw a startup operating this way and their build velocity is up 20x. Decision quality is up because every decision is informed by a real prototype, not a slide deck and an expensive meeting.

We went from “move fast and break things” to “move fast and build everything.”

The planning industrial complex is dead.

Thank god.

[(P)hillip Alexander @phjlljp]

How Bitcoiners see election cycles

[(P)hillip Alexander @phjlljp]

@bradmillscan Very cool

[Rohan Paul @rohanpaul_ai]

If your entire product relies on adding guardrails to models that hallucinate, or patch the context window limits of current models - you are basically renting time until the base model learns to self correct or expand the native memory limits to infinity.

Then the temporary fix becomes permanently obsolete.

Creating complex adapter layers between different AI agents makes money today, but the massive foundation models will eventually handle multi agent routing natively and crush that entire middle market.