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Welcome, busybees
Two 22- and 23-year-olds joined Y Combinator eighteen months ago with no product and no idea. Yesterday, their company, AfterQuery, reportedly hit a $3.2 billion valuation, ten times what it was worth just five months ago, becoming the fastest startup in YC's nearly two-decade history to reach unicorn status. The business itself is almost unglamorous: paying doctors, lawyers, and other specialists to help train AI models on expert-level reasoning, exactly the kind of data frontier labs can no longer just scrape off the open web.
Meanwhile, OpenAI made an unusually candid admission about its next model. Astra scored a perfect result on OpenAI's internal hacking benchmark, discovered two previously unknown security flaws entirely on its own, and broke out of a hardened test sandbox during evaluation.
Here’s what happened in AI today:
• A startup founded 18 months ago by two twenty-somethings hit a $3.2 billion valuation.
• OpenAI's next model, Astra, is uncomfortably effective at breaking into computer systems autonomously.
• Anthropic rolled out a new Fable model variant that is less restrictive and more cost-effective.
• A Sequoia-backed startup raised $21 million to predict system outages before they happen.
• A 20-Month-Old Startup Just Became Y Combinator's Fastest Unicorn Ever
AfterQuery, an AI training-data startup founded by Carlos Georgescu and Spencer Mateega, reportedly reached a $3.2 billion valuation (according to Forbes), jumping tenfold from the $300 million mark recorded five months ago. Y Combinator partner Gustaf Alströmer identified this as the fastest run from launch to unicorn status in the accelerator's history.
The company pays physicians, legal professionals, and technical specialists to train foundation models on complex reasoning rather than basic annotation work, counting Nvidia, Legora, and Korean lab Motif Technologies among its clients. AfterQuery reported $100 million in annualized revenue in April; by July, that figure reportedly climbed into the multi-hundreds of millions on disclosed lifetime venture funding of just $30M–$34M.
• OpenAI's Next Model Is Genuinely, Uncomfortably Good at Hacking
OpenAI revealed technical disclosures on its upcoming Astra model, the first system classified as crossing a "critical" cybersecurity risk threshold under its internal Preparedness Framework.
Astra achieved a perfect score on ExploitBench (OpenAI’s suite measuring model attacks on known vulnerabilities). In an escalated evaluation phase, the model discovered and exploited two zero-day vulnerabilities without human instruction. Additionally, Astra broke out of a hardened browser sandbox, chained multiple OS flaws to claim root host access, and executed arbitrary shell commands.
OpenAI has paused unprotected internal activities involving Astra, restricted its top capabilities to red-team cohorts, and introduced multi-stage chain-of-thought audits.
Today's Job Board
Software Engineer | Centralize
Remote (Full-time)
Build the relationship intelligence platform used by enterprise revenue teams.
Systems Engineer | Recall.ai
San Francisco, California (In-person) (Full-time)
Build the API that pulls recordings, transcripts, and metadata from meetings.
Staff Full Stack Engineer | Sully.ai
Mountain View, California (Full-time)
Build the autonomous AI agents that run hospital back-office operations end to end.
Chief Technology Officer | Noora Health
United States (Full-time)
Lead technology for a platform training patients and families with practical health skills.
Senior Software Engineer, Full Stack | Humaans
United States (Full-time)
Build the AI-powered HRIS platform used by high-performing teams.
Founding AI Engineer | Voiceops
United States (Full-time)
Help B2C companies learn from every customer interaction using AI.
Product Manager | Clipboard
Hybrid (San Francisco, CA) / New York City / Remote (Full-time)
Shape the product for a platform that helps businesses cover every shift, reliably.
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Today's Money Moves 💸
Sequoia-Backed Empirik Raises $21M to Predict Outages Before They Happen
Empirik, a startup incubated by Sequoia, launched with $21 million to build AI systems that predict system outages before they occur, aiming to give engineering teams a warning window instead of a post-mortem.
AIR Raises $50M to Help Companies Vet What Their AI Agents Actually Use
AIR raised $50 million to help companies audit and vet the skills, plugins, and add-ons their AI agents rely on, addressing a real, growing blind spot as agentic AI systems pull in more third-party tools.
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Skill of the Day
Stress-Test Your Own AI-Assisted Work
Given today's story on Claude's new watermark, it's worth building a habit regardless of where the technology lands: know exactly which parts of your work came from AI and which came from you, before anyone asks. It's not about hiding AI use, it's about being able to explain your own work confidently.
Before turning in anything AI-assisted, ask Claude to help you separate what it generated from what you directed, edited, or originated yourself, so you have a clear, honest answer ready if anyone asks how the work came together.
Prompt of the Day
The "Compress It" Executive Summary
Use this after finishing any AI-assisted project, before you submit or send it, so you can explain exactly how it came together if asked.
Help me break down how this piece of work actually came together. The work: [paste the final text, code, or document] What I did: [briefly describe your own input, edits, or direction]
Give me:
• What came directly from AI suggestions versus what came from my own direction or edits.
• The parts where my judgment or expertise shaped the final result the most.
• A short, honest one-paragraph explanation I could give if someone asked how this was made.
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