CEO @GauntletAI: Free AI training + high-paying jobs for the smartest engineers. Will tweet as I wish and suffer the consequences. Accelerando: @kellyclaudeai
Austin, TX
Joined December 2010
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- Following1.7K
- Followers487K
- Likes98.5K
Austen Allred retweeted
If Tesla built a car that can in any way fly it will be extremely funny that Thiel’s “flying cars” and “140 characters” are now both the same guy
Austen Allred retweeted
Today I’m building out a bunch of tools to help AI labs source data and turn it into RL environments.
If you’re a KellyClaude token holder: Kelly will get a % of each transaction she sources or assists with.
If you send me DMs with leads I’m ready to chase them down.
Austen Allred retweeted
Week 3 @GauntletAI 🛡️ ⚔️
I built a team of AI agents that red-team other AIs. Pointed them at the medical Co-Pilot I built weeks 1. This week's AI attacking last week's AI, hunting PHI leaks & prompt injection at night.
150+ attacks, it held up.
Demo 👇
Austen Allred retweeted
Monthly releases → almost daily.
One Gauntlet engineer. Six months. Now a Director leading 8.
Hear from Nerdy's VP of Engineering why they keep coming back to Gauntlet:
Austen Allred retweeted
You can’t automate what you can’t measure. This means that evals are one of the gates to diffusion of AI in the enterprise.
We can test our deterministic processes through software, but most enterprises have no useful way of understanding how their non-deterministic processes are working today. Specifically the work that agents are doing for them.
Evals are mission critical for enterprises adopting AI because you have no other way of knowing what’s working, what’s broken, what changed, what improved, what you can do more of, etc. if you don’t have a good sense of how agents work in your environment today. All changes, upgrades, and deployments are downstream from good evals.
Not only are we going to get vastly more domain specific evals over time for the labs and across the industry, but every enterprise will also need a clear sense of how agents are performing in their environment as well. Huge opportunity.
Just spoke to one of the big data labeling businesses.
Few interesting insights:
- They predict the majority of their revenue will come from Fortune 1000 enterprises, not labs in a few years
- They believe every company will want to own their intelligence, but owning intelligence does not necessarily mean using open source models
- A company’s evals will become their main proprietary IP given the improvement in agent performance after properly setting up & running internal eval environments
- Most enterprises haven’t graduated from coding agents and it’s largely due to not having the proper eval infrastructure to make non-Eng agents performant
Austen Allred retweeted
Boring Company is working on a simple, precursor Hyperloop tunnel between Austin and San Antonio (>200 mph).
Due to traffic congestion, that journey can currently take up to 2.5 hours. @BoringCompany can reduce that to a consistent <30 mins.
Austen Allred retweeted
At Gauntlet, AI writes 100% of the code. Austen still thinks AI makes engineering teams bigger, not smaller. @Austen on iHeart's CEOs You Should Know: buff.ly/VH6RZzH
Austen Allred retweeted
can you imagine paying $100k a year to get "educated" by an institution that was surprised by this finding
Austen Allred retweeted
“Guns, Germs & Steel” was one of only 3 books in my entire life that I couldn’t finish. It’s that bad. Here’s the synopsis:
In the opening chapter he clearly states That he believes the 5’ tall Stone Age Pygmies of Papua New Guinea are more intelligent than Europeans. His rationale? He hung out with them and felt like it because they knew all the types of plants, and also their kids didn’t have TVs (I’m not kidding).
He also observed that unlike Europeans, they were constantly hacking each other to death with crude instruments. Which leads him to believe that they evolved to be smarter, because you need intelligence to survive permanent tribal warfare. Unlike cooperative farming. I really wish I was kidding about this.
He concludes therefore that any and all modern differences in technology and wealth are the result strictly of environmental factors. He spends the next 400 pages desperately cooking up insanely convoluted theories about why living in a food scarce frozen wasteland actually gives people far more free time to invent things than eating an inexhaustible supply of bananas on a tropical island would.
Now I’m a based millennial, I’ve built a fairly thick skin against “college guy” hunter gatherer fetishism. I was born into it, molded by it. I rose out of it like Bane from the pit of darkness. I can listen to Dr.Sternberg do a 60 minute lecture on why potions made from boiling albino babies are every bit as advanced as penicillin, I wouldn’t even feel a thing.
I still couldn’t finish this book…
Unlike Malcolm Galdwell, he didn’t even bother to make his slop fun to read. That’s honestly the most offensive part. If you’re not going to tell the truth, at least tell a fucking joke.
Historian Jared Diamond: "If Genghis Khan had been born 10 years later or 200 miles further away, we wouldn't know anything about him."
Jared Diamond: "Genghis Khan created the largest land empire in world history, all the way from China to Poland. And yet, there were other people who tried—Attila the Hun and Tamerlane the Turk. Why did Genghis Khan succeed?
Well, within the last 10 years, students of tree rings have figured out that on the Mongolian steppe, the wettest time in the last 2,000 years was the decade of Genghis Khan's birth. If he had been born 10 years later or 200 miles further away, we wouldn't know anything about Genghis Khan. But he happened to have been born at the right time and place because with all that rain, that meant hay to feed sheep and goats, to feed Mongol babies, and it also meant hay to feed Mongol horses to ride into battle.
So Genghis Khan was someone at the right time and place, but he had no idea, and we didn't have any idea until this tree ring study of the last decade."
Austen Allred retweeted
"AI has destroyed Kenyan jobs because American college students no longer hire them to write fake college essays" is not a framing I expected even the NYT to have
Austen Allred retweeted
I had my “touch of AGI” moment yesterday.
I recorded a video of myself talking through a problem: how to improve maintenance of tangled hair in the shower drain.
It was a ~4 min video where I explained the problem and also used a digital caliper to take measurements.
I asked GPT 6 Astra (Ultra) to come up with a fix for the problem.
It took the video, extracted my voice, and matched the video frames to where I measured the parts.
It came up with an idea for making maintenance and cleaning easier.
I got an interactive sketch so I understand what it is talking about.
I told it to use computer use in Fusion 360.
I watched in real time as it designed the part, making it fully parameterized. While watching, I learned a couple of tricks, like how making a design read-only frees up one of the 10 free editable designs you get 😅
Anyway, it designed it and it looked solid. I told it to add fillets. I 3D printed it, tried it, and it fit perfectly on the first try.
Even though it wasn’t super complex, it solved a real-world problem, probably faster than it would have taken me to wrestle with Fusion and get what I wanted.
Austen Allred retweeted
You know what’s funny? As a Blender artist this entire time I was like, no, my skills and talent are irreplaceable by a machine.
Yet here I am watching a machine create an entire scene I would take days to weeks to make in a single fucking prompt.
This is a sick joke, seriously fuck this.
Austen Allred retweeted
I'm trying to build accurate 3D navigable worlds of interior spaces.
I developed an app that does spherical captures indoors (not possible rn) with the press of a button, along with takeoff, climb, and landing.
Can someone help me get access to @theworldlabs's Atlas? 🙏
I will be stitching together multiple spheres in different parts of the room to have the most accurate 3d models of a space.
Stay tuned!