Everett

GTM Engineering

[Everett @retttx]

@iamliamsheridan lol

[Everett @retttx]

@tszzl I mean… have we seen today’s politicians or nah

[Sherwood @shcallaway]

Ohhh so that's why they call it "Hacker News"

[Everett @retttx]

@BenyaminHolley The only true way to use Clay + Claude in chrome for everything not in the cli

[Everett @retttx]

@hollylawly Don’t check it? Ask duet/instinct to triage it and let you know if something is needed

[Everett @retttx]

Sometimes you gotta send it

[CG @cgtwts]

Dude.

[Thorsten Ball @thorstenball]

What I find the most fascinating about this post:

How much first-principles thinking goes into these seemingly simple prompts.

I don't know many people who could write

"review exists so leadership catches problems early and moves money and people to right places."

[Everett @retttx]

@ENowoslawski @PeterHoilKang Post more? Can do

[Everett @retttx]

@ENowoslawski in fact this is just opus 5.5 on my personal max 20x plan!

[Everett @retttx]

you love to see it

[Everett @retttx]

@nbaschez Lowkey @clay hiring criteria

[Ryan @ThisIsKodiak]

Apple HomeView spot but less stressful

[joowon @n0w00j]

remember when Crosby launched and everyone tried to follow by building their own "AI-enabled services" company?

yea all of them died and the only left standing is Crosby LOL

[Everett @retttx]

@Polymarket Good job management

[Everett @retttx]

@ENowoslawski @veebuv 😂😂😂

[Everett @retttx]

@morellifit Men who take cialis for its.. longetivity effects.

[Andrej Karpathy @karpathy]

Dusting off this tweet from April because this gap in shared understanding of LLM capability is *widening*. It's now less "two groups of people speaking past each other" and more a sharp funnel.

- Napkin math somewhere around 6B people (~75% of the population) have barely come in contact with LLMs at all.
- Around 1-2B (~20%) are casual and infrequent users of free-tier ChatGPT-like products. This group sees derpy chatbots and treats them a bit like a better Google search, a writing aid, or etc. Maybe an agent tries to book you a flight. I have non-tech friends who (reasonably, imo) say they have not much use for it at all. Even many professionals outside of math&code are in this tier. For example, execs and many other functions spend a lot of their time talking to other people, so while they understand what is happening intellectually, it is still second-hand and a bit abstract.
- Now we get to professional use of frontier-grade LLMs in math&code. Somewhere around 20M people (0.2%) see first-hand that large, complex projects that used to take them weeks/months can now be completed by agents with a prompt. Building apps, copying apps, translating apps, decompiling apps from binaries... This has all happened very quickly and recently - less than 1 year ago, I was writing code manually by hand, typing memorized computer code commands into a code editor character by character, occasionally pressing Tab to autocomplete a little chunk of code.
- And finally we get to the ~5,000 people (~0.00006%) with access to frontier-grade systems internally. The external world has seen the preview. It looks like swarms of thousands of agents collaborating over weeks on software mega projects: minting zero days, running cyber attacks and defenses at machine speeds, discovering new science, advancing the frontier of mathematics. Things that would have taken top professionals in the industry years of work. Meanwhile, human review and comprehension are starting to fall behind. For example, people are still involved in the "archeology" of the OpenAI-HF incident from many months ago. Mathematicians may be poring over the 722 manuscripts on frontier mathematics for a while.

The funnel is driven by a combination of factors:
1. The impact scales with ambition, problem size, and horizon. A question with a paragraph answer barely stresses the system. You need a reservoir of big, difficult problems that you really care about. This aspect drives the consumer / professional dimension of the funnel.
2. The jaggedness of the system (which I have written about a lot separately). Capability peaks in domains that are digital, verifiable and economically valuable. This is because LLM capability emerges from reinforcement learning on verifiable rewards on a curated environment mixture driven by revenue potential. This aspect primarily drives the area (e.g. math&code) dimension of the funnel.
3. Access. Free-tier, paid-tier, internal.

So this is the weirdness of the moment. The general public has mostly not interacted with these systems. When they have, it looks like a derpy chatbot. The majority of professionals still see only a modest uplift. And a small sliver of professionals are experiencing the vertigo of the curve going vertical. And it is all happening at the same time.

[Everett @retttx]

@_ontologic ^^ this is how you software dev in 2026

[Everett @retttx]

@NoDegreeAE Austin since you said cost of living otherwise nyc

[Everett @retttx]

Weather engineering >>> GTM engineering

[seb @hiiinternet]

Big mix up today in the world of quant weather trading