Everett @retttx

GTM Engineering retttx.com New York, NY Joined May 2012

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Thorsten Ball @thorstenball

3 days ago

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."

Felix Rieseberg @felixrieseberg

5 days ago

Hi, I'm Felix. I'm an eng lead working on Claude. I love watching people take flight and do things they never thought possible. We often describe that as "being more ambitious" when using AI, which is tricky advice to follow. I wrote a tutorial: felixrieseberg.com/how-to-be-more…

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Everett @retttx

3 days ago

@ENowoslawski @PeterHoilKang Post more? Can do

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Everett @retttx

4 days ago

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

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Everett @retttx

4 days ago

you love to see it

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Everett @retttx

4 days ago

@nbaschez Lowkey @clay hiring criteria

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Ryan @ThisIsKodiak

4 days ago

Apple HomeView spot but less stressful

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joowon @n0w00j

5 days ago

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

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Everett @retttx

5 days ago

@Polymarket Good job management

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Everett @retttx

5 days ago

@ENowoslawski @veebuv 😂😂😂

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Everett @retttx

5 days ago

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

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Andrej Karpathy @karpathy

7 days ago

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.

Andrej Karpathy @karpathy

6 months ago

Judging by my tl there is a growing gap in understanding of AI capability. The first issue I think is around recency and tier of use. I think a lot of people tried the free tier of ChatGPT somewhere last year and allowed it to inform their views on AI a little too much. This is

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Everett @retttx

7 days ago

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

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Everett @retttx

7 days ago

@NoDegreeAE Austin since you said cost of living otherwise nyc

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Everett @retttx

7 days ago

Weather engineering >>> GTM engineering

seb (eng recruiting) @hiiinternet

a week ago

Big mix up today in the world of quant weather trading

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Everett @retttx

7 days ago

@NickAbraham12 Proposal circulating internally

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Everett @retttx

7 days ago

Oh my god 😂😂 reminders me of “papers please” that Soviet era border crossing game Whatever the sub genre of beauocratic processes as games is, I’m into it

oliver @Olliesiin

2 weeks ago

ever wondered why you can't find housing in sf? i made a game where you try to build some. every site is a real project and every law is real. see how far you get.

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Everett @retttx

7 days ago

@jdnoc @Pepecash_sol Do you do a fable code review pass or anything like that?

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Everett @retttx

a week ago

@zarathepirate It me

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oxbuddy @oxbddy

a week ago

All Timer

Variety @Variety

2 weeks ago

Will Angus, who appears in “Artificial” as Anthropic co-founder Dario Amodei, says Andrew Garfield “nailed” his performance as Sam Altman: “He has this vocal fry in between lines, kind of when he’s thinking, that he really nailed. The walk, the head movements. It was spooky.”