Austen Allred (@Austen) header
Austen Allred (@Austen) profile picture

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
Photo by Austen Allred (@Austen)Photo by Austen Allred (@Austen)Photo by Austen Allred (@Austen)Photo by Austen Allred (@Austen)Photo by Austen Allred (@Austen)Photo by Austen Allred (@Austen)Photo by Austen Allred (@Austen)Photo by Austen Allred (@Austen)Photo by Austen Allred (@Austen)Photo by Austen Allred (@Austen)
Austen Allred retweeted
As a Dutch person let me tell you it's way worse than it seems. The AVERAGE stress related absence is 250+ days. The AVERAGE burnout related absence is 300+ days. While on sick-leave, you can return to work for just 4 weeks and the 2 year period **resets**. Your employer is forced to assist you in this. They have to pay for doctors, experts, and so on. If they don't, you get an extra year's wages. While on sick-leave, you can work a second job. As long as this is outside business hours of the first job, or the work is different, your first employer still pays you 70%. Here's another cool one: you can go on holiday during sick-leave. The employer can force you to use your vacation days for that, but then they have to pay you 100% of your wages rather than 70% during that period. Simple solution: you just work with contractors right? No, because a contractor can just claim employee status after getting sick. Many such cases. All of this is obviously broken. If you say this you're met with half-baked "worker's rights" arguments, as you can see in this comment section.
European hiring rules are genuinely insane. For example - if you own a company in the Netherlands and one of your employees gets sick, you are required to pay at least 70% of their wages for up to 2 years. If they can't go back to work after 2 years and you haven't done enough for their reintegration, you pay their wages for 1 more year. And you can't fire them until after that extra year!
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Austen Allred retweeted
Companies in Austin: Many of you have seen Gauntlet AI and asked if we could build a "mini gauntlet" for your existing engineers. We've done that. Two weeks of intensive training/building on-site at our downtown HQ. Bring your real work. Call w/me: cal.com/team/gauntlet/cataly…
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Austen Allred retweeted
Today we're introducing the smartest, most capable version of our enterprise-ready decision model: SubQ Snap 1.1. Snap is tied for #1 on the Artificial Analysis Decision Index and has made big gains on agentic tasks, outperforming Jev by +7.2 points across 16 leading enterprise benchmarks. All while maintaining 384k tokens of context, in a single pass, as the only model with constant compute per token. - Powered by Subquadratic Sparse Attention. - Tied for #1 on the @ArtificialAnlys Decision Index. - 96.2 on When2Call, up from 75.2, and up 6 points on @huggingface 5 Tools & Automation benchmarks. It knows when to call a tool, when to ask, and when to decline. - 81% fewer confident errors on questions it can't answer. - $0.04 per 1M input tokens. No charge for output. Go to subq.ai for access, and 100M free tokens.
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Austen Allred retweeted
We built a $150M ARR business twice. The first time took 8 years. The second took 2.5. Today, Podium crossed $150M in AI annual recurring revenue. Three years ago, we already had a great software business. Well over $100M in revenue, tens of thousands of customers, and a product we'd spent nearly a decade building. And we decided to start over. The business was performing well. But we believed AI was going to fundamentally change the software industry and make much of traditional software obsolete. As a founder, you pour your life into what you're building. An insane amount of time, sacrifice, and effort. The hard part is not getting too attached to it. When we started building our first AI agents, we had to confront the possibility that much of what we'd built might not be that valuable in the future. That's a tough pill to swallow. But we also realized those same 10 years had put us in a unique position to take advantage of what AI could do for our customers. Instead of protecting what we'd spent a decade building, we decided to bet the future of the company on AI employees that actually do the work for our customers. We massively underestimated what we'd signed up for. We ended up building entirely new operating systems for the industries we serve, from the AI agents all the way down to the systems of record. Now customers run their entire businesses on Podium. Reinventing our product wasn't even the hardest part. We had to reinvent how the entire company operated. When you've been running a company for over a decade, the operational inertia is incredibly powerful. We had to rethink how we build products, how we sell, how we serve customers, and how we run the business. We effectively started a second startup inside an already successful company. And we're still at the very beginning. Today, we have 20,000 AI agents working for our customers. They've helped generate more than $13 billion in revenue for those businesses. And we're barely scratching the surface of what AI will be able to do for them. And we've done all of this while becoming profitable and generating free cash flow. We're building Podium to be around for decades. Huge credit to our team for having the guts to make this bet and the ability to actually pull it off. We still have a long way to go and tons of problems to solve, but it's so damn fun to be winning when the opportunity ahead is this big. In the age of AI, you can either disrupt your own company or wait for somebody else to do it. I'd rather do it ourselves.
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Austen Allred retweeted
Week 5 @gauntletai ⚔️ No Week 4 post. I was heads down during my first week onsite in Austin 🤠 Made up for it this week by shipping 3 AI agent apps: 📞 AI call center agent that books, reschedules, and cancels, and reads it all back before saving 🧭 Onboarding assistant that walks new users through setup 🤖 Multi-agent platform on one shared knowledge base 110/113 validation checks passed. 10/10 on adversarial safety tests. Demo 👇
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Austen Allred retweeted
🔥BIG NEWS for #AustinTechWeek! Excited to announce @Austen, Y Combinator alum, founder & CEO of @GauntletAI , is joining us for a fireside chat @AIStartupRodeo! We'll dive into the future of AI, engineering, and building real-world systems. 📍 Austin, TX 📅 Oct 30 | 3 PM Texas time 🎟️ Grab your tickets via @ZapriteApp: pay.zaprite.com/pl_k5Gb441ga… or Luma: luma.com/mydv5rsq
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Austen Allred retweeted
If your interview still tests writing code from memory, you’re grading the part AI already does. Oracle’s Kay Malcolm goes live with Gauntlet COO Brett Johnson this Wednesday, Oct 21, at 12 PM CT / 1 PM ET, on how to spot AI-first developers before you hire.
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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
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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.
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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 👇
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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:
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HUGE news out of Treasury today on the school choice Education Freedom Tax Credit: couples can in fact donate $3,400 to K-12 scholarship organizations for the full, 100% tax credit in 2027. The potential donation pool just increased $75.1 billion with that change!🧵
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Austen Allred retweeted
POV: you switched to a low reasoning effort model
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Austen Allred retweeted
Back on the grind today. One big app in the works: A mobile app that manages reimbursement paperwork for families managing long-term-care insurance. Families can pay human advisors $1,000+/mo. My app will use AI and will charge $39/mo.
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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
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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.
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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
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Austen Allred retweeted
Finally figured out how to explain @gauntletai in 5 words
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Austen Allred retweeted
discovering religion from first principles
I’m not saying we’re in an eval. I’m not. But if we were, hypothetically, what do we think the Scorer wants?
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