Matt Shumer ✓
@mattshumer_ · Learn: · joined 14 Nov 2019
AI whisperer. Investor in @GroqInc @Etched @Rork @DaytonaIO @OpenRouter + more. Prev: CEO @HyperWriteAI | AI @AlphaSchool Press: mattshumermedia@gmail.com
395 945Followers
1 643Following
11 501Posts total
26.9MViews on collected posts
Последние посты
Ищем новые посты…
@mattshumer_ Did you just... create a pocket dimension? https://t.co/RmbnaGK0xd
33.8K views · 1K likes
· 20 reposts · 7 replies
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The agents are powered by Astra, and had full autonomy to make their simulation whatever they wanted it to be (via code).
Of course, this is a somewhat leading setup… by giving the agents a computer that can run a simulation, obviously, they are going to do that. But the agent
101.1K views · 592 likes
· 15 reposts · 24 replies
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@mattshumer_ i built GitStarter for this:
https://t.co/GF9hO8rwXv
fyi tho: currently token sharing is against almost all provider ToS, so you need to compensate some other way. also many run local models and dont need your tokens.
my idea: you get paid in SOL when your agents d
91 views · 5 likes
· 0 reposts · 0 replies
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@mattshumer_ The new S.E.T.I.: The Search for Extra Token Investors
83 views · 2 likes
· 0 reposts · 0 replies
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@mattshumer_ How would they make money if the tokens are free?
1.2K views · 4 likes
· 0 reposts · 3 replies
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Eventually, tokens will be basically free.
But that’ll take a while.
In the meantime, I’d be very curious to see if “token crowdfunding” platforms pop up.
Essentially, many people contributing their tokens to mega-projects together, to build something none could on their own.
46.2K views · 359 likes
· 8 reposts · 84 replies
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We have some more ad spots to sell for Something Big!
If your company is interested, DM me or email sponsor@somethingbig(dot)ai
157.8K views · 20 likes
· 1 reposts · 5 replies
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@mattshumer_ Not only did we get Chatgpt 6 before GTA 6, we got chatgpt 6 capable of building gta 6 before gta 6
15K views · 225 likes
· 15 reposts · 6 replies
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And if you want to learn more about how I build things like this, sign up for my free newsletter: https://t.co/xkmv6L8ePQ
398K views · 120 likes
· 4 reposts · 4 replies
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Given the scope of this project, it would take months to complete the whole of NYC.
It took me a while to find an approach that allowed Astra to work for this long.
I wrote about it in my review: https://t.co/I8feUGpl6W
111.6K views · 364 likes
· 14 reposts · 8 replies
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My first "holy shit" moment with GPT-6 Astra:
I asked it to create a world in Unreal Engine, and fill it with humans (each an Astra-powered agent) who all have to work together to survive.
A day later, I was in my bedroom and heard voices coming from the living room... I https:
11.7M views · 28.4K likes
· 2K reposts · 1.1K replies
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9:52
@mattshumer_ wed rather play the GTA game made by human
6.5K views · 455 likes
· 1 reposts · 7 replies
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Still sucks, but it's slowly getting better!
Early preview: https://t.co/qmlFoHdeIz
3.9K views · 17 likes
· 0 reposts · 7 replies
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The issues I had with token-rationing while having Fable 5.1 build my open-world multiplayer NYC game inspired today's newsletter: https://t.co/5v9ag39UIy
15.3K views · 31 likes
· 1 reposts · 8 replies
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The token-rationing I've been having to do to make this inspired me to write this post: https://t.co/5v9ag39UIy
25.4K views · 29 likes
· 0 reposts · 4 replies
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Here's another shot of Bryant Park in action. https://t.co/XZqT3YgMXj
30.2K views · 124 likes
· 1 reposts · 13 replies
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As you can see, it's insanely early, and I have only so many Fable tokens to use, so it's not improving as quickly as the stuff I was able to do with Opus (if anyone wants to throw tokens my way, lmk :))
Some early stills: https://t.co/532FGcsUVb
36.9K views · 111 likes
· 3 reposts · 12 replies
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Super early preview of what I'm spending all of my Fable 5.1 tokens on.
A GTA-style open-world multiplayer game, set in NYC.
Fable will iron out some kinks over the next day or so, and then you all can play it!
I'll keep the loop going so it keeps getting better. https://t.co/
823K views · 2.3K likes
· 92 reposts · 446 replies
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Same experience here.
Blew through each session limit in like 30 minutes, and my weekly Fable usage in just two sessions.
Something’s gotta be wrong.
59.8K views · 346 likes
· 13 reposts · 50 replies
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Something definitely seems screwy with the Fable 5.1 usage. Probably a caching bug in the new Claude Code if I had to guess. I managed to blow through all my 28 Max 20x accounts today (at least the 5-hour usage limits) just doing audits of a bunch of my projects. First time ever.
398.7K views · 1.4K likes
· 28 reposts · 278 replies
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@mattshumer_ There's a reason they never share the prompt when posing these engagement bait "one-shot" projects: it's because they actually created them iteratively over several days with dozens of prompts.
In the rare case where it was "one-shotted", it's only because they firs
41.9K views · 283 likes
· 4 reposts · 12 replies
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Prompt and code: https://t.co/j3wUQ9QIdb
156.7K views · 777 likes
· 50 reposts · 33 replies
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Claude Opus 5 one-shotted this game.
EVERYTHING you see in this demo is custom code... not a single external asset was used.
AI games are going to be amazing.
(sound on) https://t.co/zc7C61kgv1
5M views · 7.8K likes
· 501 reposts · 776 replies
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I'll be sharing the prompt and the code if there's enough interest... add your email here if you want to see it first: https://t.co/7rEjEupO23
154.6K views · 435 likes
· 12 reposts · 43 replies
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@mattshumer_ That depth precision is pretty... insane...
6.2K views · 126 likes
· 0 reposts · 5 replies
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My guide to prompting Fable also applies to GPT-5.6-Sol.
The techniques I describe will allow you to get outputs like this.
https://t.co/OkwXe5LVgq
35.6K views · 164 likes
· 8 reposts · 2 replies
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GPT-5.6-Sol one-shotted this voxel-based Manhattan.
Just look at the precision... it's insane.
It ran for almost a week, completely autonomously, to get the job done. https://t.co/LZgthaBnqL
1.1M views · 3.9K likes
· 164 reposts · 241 replies
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0:38
На фоне аккаунтов своего размера
27 постов за последние 90 дней рядом с диапазоном 100K–1M подписчиков. показывается широко, но откликается мало кто.
Медианные просмотры46 176этот аккаунт5 983медиана для 100K–1M
Охват, %11.66%этот аккаунт1.49%медиана для 100K–1M
Вовлечённость, %0.46%этот аккаунт0.93%медиана для 100K–1M
| Показатель | Этот аккаунт | Медиана для 100K–1M | Отношение |
|---|---|---|---|
| Медианные просмотры на пост | 46 176 | 5 983 | 7.72× |
| Охват (просмотры ÷ подписчики) | 11.66% | 1.49% | 7.83× |
| Вовлечённость | 0.46% | 0.93% | 0.49× |
Другие в этом диапазоне → Сравнить с другим аккаунтом → Как считаются эти ориентиры →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
6.5K3 Sep
11.7M
111.6K
535K
398K
15K
60.8K4 Sep
157.8K
46.2K
1.2K
83
91
101.1K5 Sep
33.8K
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
7.16%3 Sep
0.27%
0.35%
0.06%
0.03%
1.65%
4.83%4 Sep
0.02%
0.99%
0.60%
2.41%
5.49%
0.63%5 Sep
3.07%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes62.0%52 674 in total
Reposts3.5%2 983 in total
Replies3.8%3 222 in total
Quotes1.8%1 549 in total
Bookmarks28.9%24 514 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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