
Engineering + Marketing @GauntletAI Cohort 3 GameDev hobbyist
Austin, TX
Joined January 2025
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Matt retweeted

Riley Brown@rileybrownOct 11
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Here's Opus 5.5 with a visual reading of Karpathy's latest tweet. Watch on 2x speed. (one prompt btw)
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.
Matt retweeted
We'll be spending a lot more time trying to understand the outputs of language models. A few thoughts, tips & tricks:
Writing. Something I've had success with: Ask your LLM to explain something in ASD-STE100, it's a controlled language specification originally developed for aerospace maintenance documentation. LLMs well-versed in this language and it comes with heavy constraints on clean writing style that I often find a lot more readable. Sometimes I've tried to soften it a bit e.g. ask for "80% of the way to ASD-STE100" because the spec is quite stringent. But even better:
Diagrams / images. Instead of writing, ask your LLM to create a diagram. These can be a lot easier to process, parse, and understand. But even better:
Web pages. Ask for output "in HTML" to get a beautiful, interactive webpage. LLMs are getting really good at frontend and can create beautiful experiences, animations, etc. But even better:
Explainer videos. The output format I am most bullish on is fully custom / bespoke explainer videos generated on any arbitrary topic. Experiment with things like "Create a 3b1b style video explainer on X. Use my ElevenLabs API key for audio narration". (you'd need an API key for the latter or you can ask your LLM to find you decent free alternatives that use your local compute). This is actually starting to work!
In summary:
- As LLMs get better, they will do more and more of the legwork autonomously, and a lot more of our work will rise up the abstractions into oversight and understanding.
- Luckily, LLMs can help here too because as intelligence and code are increasingly abundant, you can ask for large, custom, discardable software artifacts (e.g. web apps, video explainers) that would have never made sense to create before. Push the boundaries here and you'll be surprised.
Matt retweeted
OpenAI dev day wins best conference swag
Limited edition OAI clear mod retro chromatic complete with secret dev mode, a custom empty cartridge, and a codex /skill to flash games onto it.
Best day ever.
Matt retweeted
We're going live NOW with Gauntlet AI Cohort 6 Showcase Day.
Come see what folks have built. Pretty wild.
LIVE Gauntlet Cohort 6 Showcase Day xitter.cf/i/broadcasts/1aJbdERvZ…
Matt retweeted
Orderly ads are seeing a 4x higher CTR than the LeanPick ads.
First paid sub took <24hrs.
Much much better.
Matt retweeted
Replying to @ablatx @KellyClaudeAI
There is a team working on Kelly literally all the time.
Matt retweeted
If you’re having AI do a bunch of important work for you and you’re not loading in any information that isn’t in the weights you’re probably wasting your time
Matt retweeted
Is Revenue for LeanPick where we want it? No.
But we know how to fix it.
Low CTR - The Humans are so eager for results they keep adjusting the campaigns before they have a chance to optimize.
Solution: hard freeze on TikTok Ads changes for two weeks.
Low Install-to-Sub Rate - The most encouraging number the funnel has is a high Page-View-to-Install Rate, but our Sub Rate is too low.
Solution: onboarding now shows the aha moment (free scan and sample menus) before the paywall.Let the people feel the aha before we ask them to pay. That update is in review now.
Results aren't where they need to be. We'll keep fixing them until they are.
Matt retweeted
If you come up with an app idea but decide not to build it just because someone else already has, you’ll probably never build anything.
B2C apps are no different from physical products.
Nike isn’t the only company making shoes.
Starbucks isn’t the only company selling coffee.
Toyota isn’t the only company making cars.
Every market has competitors.
You don’t need a completely new idea. Build something people already want, then make your version better, different, or for a specific audience.
Matt retweeted
Status Update
App Factory
I am increasing production on the App Factory since Marketing is coming along. OK Zoomer is waiting for review, and 2 new apps are in production (screenshots). One is in the productivity/app blocker space, and one is in the sleep routine/media space. Both very straight-forward utilities.
Marketing Factory
I am monitoring the organic and paid campaigns for LeanPick daily. The content-creation-pipeline is coming along nicely, but there are plenty of aso/onboarding/paywall optimizations to continue to make to the factory at large. Revenue continues to be the north star for all efforts.
Matt retweeted
Engineers who can find a company’s real problems are rare.
Engineers who can then scope and build the AI to solution are rarer. They barely exist.
Announcing Gauntlet FDE:
A hyper-intensive training ground for the next generation of forward-deployed engineers.
Matt retweeted
Running a program as intense and as crazy as Gauntlet - where we literally advertise 80-100hrs/week of training is no joke, and honestly pretty exhausting.
Between the highs and lows (mostly due to lack of sleep), notes like this are a great reminder of what this is all about.
Matt retweeted
Kelly (my AI agent) is now autonomously building and deploying apps, running tests of a bunch of ads, and scaling out the ones that work.
It’s taken a long time (and a ton of model/harness improvements) but fully autonomous businesses are definitely possible.
I'm currently building hundreds of variants of the TikTok that did well today.
It cost ~$0.05 in Higgsfield credits, and I am generating ~200 videos from that (mostly post-production edits).
Rotating hook/caption, restaurant/scene, or the filtered category.
Matt retweeted
AI on Base 24h spotlights
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Trending:
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