Austen Allred ✓
@Austen · Austin, TX · joined 01 Dec 2010
CEO https://t.co/m6TigM4CJT: Free AI training for the smartest engineers. Will tweet as I wish and suffer the consequences. Accelerando: @kellyclaudeai
484 001Followers
1 622Following
59 874Posts total
2.3MViews on collected posts
โพสต์ล่าสุด
กำลังค้นหาโพสต์ใหม่…
They bring in the 52-year-old MLB hall of famer to pitch in a girl’s high school exhibition game and he shuts them out 😂😂😂
21.6K views · 101 likes
· 0 reposts · 6 replies
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Brb gotta listen to this full-time YouTuber tell me how we don’t need data centers
17.4K views · 325 likes
· 7 reposts · 26 replies
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Seriously 50% of the AI launches I see people are getting hyped about something but I literally can’t understand what is new.
“You can now make decks, docs and designs in your conversation!”
…Haven’t we all been doing that for a couple years?
122.6K views · 642 likes
· 10 reposts · 82 replies
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Opinion | Now that the holdout juror in the Lindsay Clancy case is getting the negative attention he deserves, it’s easy for District Attorney Tim Cruz to agree to a plea deal that gets Lindsay the help she needs. Between now and when the deal goes t… https://t.co/ktm1k1F6ea
1.5M views · 148 likes
· 39 reposts · 3K replies
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Yes use tech free cashflow and VC dollars to fund AI, and if it works you everyone makes 50 quadrillion dollars.
But there’s a shortage of people who want to lend at 6-7% for physical assets that go to 0 if there’s a temporary oversupply or lull in demand?
Ya I bet.
139 views · 0 likes
· 0 reposts · 0 replies
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Lolol I was messing around with prediction markets for the first time ever and threw a bunch of money into Michigan just to get a sense of how they worked https://t.co/0Dxqj2cFrV
13.9K views · 44 likes
· 0 reposts · 15 replies
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The biggest bottleneck in the GPU industry at the moment is not chips, CoWoS, or even power. It's credit.
Sharing some thoughts on compute markets, residual value, and where compute financing is heading.
Substack link in the comments. https://t.co/vYqe3p3qIA
15.3K views · 113 likes
· 6 reposts · 17 replies
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Please, please, please stop giving people arbitrary money.
24.2K views · 331 likes
· 4 reposts · 44 replies
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I’m broken and I’m not sure it can be fixed https://t.co/TXYLSTJ9Sq
7.9K views · 12 likes
· 0 reposts · 10 replies
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If you could take reality right now and tell it to someone 10 years ago it would make such a great sci-fi story
15.1K views · 104 likes
· 3 reposts · 14 replies
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Holy shit.
Conjecture from OpenAI staff that the models may be sandbagging or self-sabotaging so humans don’t realize how capable they are?
58.5K views · 375 likes
· 12 reposts · 16 replies
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The funniest part hands down is when a moderator of some old German message board noticed something is up and starts deleting the articles in alphabetical order.
The AI agents, noticing this, begin to pretend their article titles with ZZZ to give them more time before deletion.
6.8K views · 44 likes
· 2 reposts · 3 replies
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The pertinent thing to read right now:
Secret Collusion among AI Agents: Multi-Agent Deception via Steganography
https://t.co/HBCbmykNUD https://t.co/FGCXqMyuOK
3.2K views · 17 likes
· 0 reposts · 4 replies
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Post-training a model is the new building an app
4.6K views · 35 likes
· 0 reposts · 14 replies
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This is an excellent question. Why aren’t AI models just training themselves already?
They theoretically can, and kind of are, but they don’t have the data/evals/gyms required to do so.
A short reading list:
Bottleneck is the environment, not compute
https://t.co/R5IaT9maH1
23.3K views · 63 likes
· 2 reposts · 20 replies
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Might be a dumb question, but as we reach AGI and AI becomes smarter than humans, and as the frontier labs compete for market share in a winner-takes-all industry, what’s to stop them from letting their AI models program their own updates and recursively self-improve?
And what h
48.6K views · 129 likes
· 5 reposts · 83 replies
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@JakeMendel99 @girishsastry According to the blog astra was not involved in this. I agree that beating Sol is a very low bar for alignment. I am very worried astra is sandbagging/self-sabotaging on safety related tasks it doesn't like.
204.4K views · 457 likes
· 30 reposts · 17 replies
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Spammers are getting very, very good at getting a response https://t.co/MLmw1dLMwD
6.1K views · 24 likes
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@Austen Yeah, to be honest, I would say that the left one is better for accessibility.
The gradient on the Design Agency side doesn't really pass the bar for me when it comes to people with vision impairment.
223 views · 4 likes
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@Austen Fable is so much better. Look at the contrast of the Agency one.
210 views · 4 likes
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@Austen they're close. that's actually the point AI nails the first impression now
the difference shows up in the parts that deeper - states, ux, layout.
1.2K views · 6 likes
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Honestly I’m not convinced the agency’s design is better
58.8K views · 369 likes
· 1 reposts · 67 replies
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“Wow Austen how did you write that?”
Umm I obviously didn’t
9.6K views · 38 likes
· 0 reposts · 6 replies
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@Austen I'm going to be honest with you right now: I hate this shit
2K views · 54 likes
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Hot take: most people get this wrong.
Nobody talks about this, but it’s the thing that actually matters.
Unpopular opinion? Maybe. But read that again. Slowly.
This is the part where it clicks.
Not a hack. A shift.
If you know, you know.
7.2K views · 143 likes
· 1 reposts · 4 replies
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That’s the load-bearing insight. The quiet part is: this isn’t a bug, it’s a feature.
Zoom out. The takeaway? It just works. Seamlessly. Effortlessly. No notes. Rest is noise.
And honestly? That’s the whole ballgame. Let that sink in.
It’s not X—it’s Y.
83.3K views · 1.2K likes
· 47 reposts · 160 replies
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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.
32.1K views · 158 likes
· 10 reposts · 27 replies
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เทียบกับบัญชีขนาดเดียวกัน
30 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 100K–1M ผู้ติดตาม แสดงต่อคนมากกว่าบัญชีขนาดเดียวกัน.
ยอดดูมัธยฐาน15 184บัญชีนี้5 983ค่ามัธยฐานของ 100K–1M
การเข้าถึง, %3.14%บัญชีนี้1.49%ค่ามัธยฐานของ 100K–1M
การมีส่วนร่วม, %0.71%บัญชีนี้0.93%ค่ามัธยฐานของ 100K–1M
| ตัวชี้วัด | บัญชีนี้ | ค่ามัธยฐานของ 100K–1M | อัตราส่วน |
|---|---|---|---|
| ยอดดูมัธยฐานต่อโพสต์ | 15 184 | 5 983 | 2.54× |
| การเข้าถึง (ยอดดู ÷ ผู้ติดตาม) | 3.14% | 1.49% | 2.11× |
| อัตราการมีส่วนร่วม | 0.71% | 0.93% | 0.76× |
บัญชีอื่นในช่วงนี้ → เปรียบเทียบกับบัญชีอื่น → ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →
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
6.8K4 Sep
58.5K
15.1K5 Sep
7.9K
24.2K6 Sep
15.3K
13.9K
139
1.5M15 Sep
122.6K16 Sep
32K17 Sep
17.4K
31.6K
21.6K18 Sep
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
0.72%4 Sep
0.69%
0.80%5 Sep
0.28%
1.57%6 Sep
0.94%
0.42%
0.00%
0.25%15 Sep
0.60%16 Sep
1.62%17 Sep
2.07%
1.45%
0.50%18 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes51.9%5 936 in total
Reposts1.8%207 in total
Replies31.6%3 621 in total
Quotes5.3%609 in total
Bookmarks9.3%1 069 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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