It's Monday, March 30th: An unsecured database just gave the world an early look at Anthropic's most capable model yet, and Google shipped a real-time voice API that prices full audio agent sessions at two cents a minute.
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The top AI stories from last week, filtered for what will help you stay in the know.
1️⃣ DATA LEAK: Anthropic's Most Powerful Model Surfaces Before Its Time

Two security researchers found roughly 3,000 unpublished assets sitting in an unprotected, publicly searchable Anthropic database on Thursday evening. Among the files: draft blog posts announcing a next-generation model codenamed "Claude Mythos" in one version and "Capybara" in another. Anthropic patched the exposure the same night after Fortune reached out for comment.
The leaked drafts describe Capybara as a new tier above Opus in Anthropic's model hierarchy, with what the company internally calls "dramatically higher scores" in software coding, academic reasoning, and cybersecurity compared to Claude Opus 4.6. No specific benchmark numbers appeared in the exposed materials. The draft also includes a warning that the model "presages an upcoming wave of models that can exploit vulnerabilities in ways that far outpace the efforts of defenders," and outlines a rollout plan that prioritizes cybersecurity defense teams to give them a head start.
Anthropic confirmed the model's existence in a statement to Fortune, calling it "a step change and the most capable we've built to date." The company added that Capybara is currently in early access testing with a select group of customers and will be "very expensive" to serve. No pricing or general availability date was provided.
Roy Paz of LayerX Security and Alexandre Pauwels of the University of Cambridge discovered the exposed CMS data store. The leak also contained employee records, CEO summit details, and other internal documents. Anthropic attributed the exposure to a human error in CMS configuration where default file settings were left public.
The timing is notable. Anthropic is simultaneously fighting a federal lawsuit after the Pentagon designated it a supply chain risk for refusing to let Claude be used in autonomous weapons systems. A next-gen model with leading cybersecurity capabilities gives both Anthropic's safety argument and its commercial position considerably more weight. The question is whether "very expensive" pricing limits access to the organizations that need these capabilities most, or whether the cost comes down before competitors close the gap.
2️⃣ VOICE AGENTS: Google's Gemini 3.1 Flash Live Prices Real-Time Audio at $0.02/Min

Google released Gemini 3.1 Flash Live on Wednesday, a real-time voice AI model designed for building conversational agents that can listen, talk, and take actions during a live call. It's available now in preview across Google AI Studio and Vertex AI, supports 90+ languages, and accepts audio, video, images, and text as input.
The number that matters most: $0.023 per minute for a full two-way voice conversation. A 10-minute customer support call costs roughly 23 cents in inference. That price point makes it viable for startups and mid-size companies to deploy voice agents in production without losing money on every interaction. Until now, real-time voice AI was either too slow, too expensive, or too brittle for anything beyond demos.
The practical shift is in what the model can do mid-conversation. Flash Live can call external tools and APIs while talking to a user, which means a voice agent can check an order status, pull up account details, or trigger a workflow without asking the caller to hold. Google's own benchmarks show a 19-point jump in function-calling accuracy over the previous Gemini model, from 71.5% to 90.8%. That's the difference between an agent that reliably completes a task and one that fumbles half the time.
Where this lands first: customer service, appointment scheduling, sales qualification, and internal IT help desks. Any workflow where a human currently answers a phone, looks something up, and reads it back is now automatable at under $1.40 per hour of voice time. Companies already running text-based agents on Google's APIs can add a voice layer without switching infrastructure.
The limits are real but temporary. Voice-only sessions cap at 15 minutes, and video calls cap at 2 minutes. Tool calls happen one at a time, not in parallel. The model is still in preview, not generally available. Google has historically loosened these constraints as models mature. The builders who start integrating now will have the plumbing in place when those caps lift.
🔗 Other News

Your pulse on the biggest events and announcements and happening in AI this week, from Noah Frank ⚡️
📅 Events We’re Watching
Mark your calendars and be sure to sign up for these landmark events we’re watching. Be sure to look out for special AIC discounts where available.
NEXT WEEK: April 6 – 9: HumanX 2026 (San Francisco, California)
HumanX is quickly becoming one of the premier gatherings for AI decision-makers, with 6,500 expected attendees at the Moscone Center and speakers including Fei-Fei Li and Ray Kurzweil. AI Collective members can register here to lock in current pricing before rates increase.
April 27 – 29: AIM-2026 (San Francisco, California)
The Third International Conference on Artificial Intelligence and Machine Learning, with keynote speakers from Stanford, University of Maryland, and York University. More academic than trade show. Registration runs $299 to $1,099.
May 27 – 28: AI DevSummit 2026 (South San Francisco, California)
A two-day conference on shipping real-world AI, with tracks on management, machine learning, and enterprise integration. Speakers include Logan Ramalingam (Google Cloud) and Kordel France (Toyota). Registration starts at $1,080.
🔦 Spotlight On: Go Watch The AI Doc

Last Friday, I caught a screening of The AI Doc: Or How I Became an Apocaloptimist at an event hosted by the Alliance for Secure AI in Washington, D.C. The film is co-directed by Daniel Roher (the Oscar winner behind Navalny) and Charlie Tyrell, and it follows a soon-to-be father trying to make sense of the AI moment we're all living through.
Roher sits down with Demis Hassabis, Sam Altman, Dario Amodei, and more than 40 other experts, and what comes through is not a clean narrative but the present uncertainty that even the people building this technology carry with them every day. It's gripping and honest, and it makes the stakes of AI feel personal without dumbing them down. We did wish the film had pressed harder on some of its own claims about just how transformative the technology will be to show the world a lot of what we are seeing. But for anyone not already neck-deep in the AI conversation, this is a genuinely accessible on-ramp, and for those of us who are, it's a useful mirror of how deep the rabbit hole goes.
We spend a lot of time in this community talking about models, benchmarks, policy, and products. And to be sure, all of that matters. But the story of AI is also shaped by how people feel about the way things are going, by the analog layer of human connection, meaning, and anxiety that no white paper captures. “The AI Doc” lands squarely in that territory and serves as a reminder that the human dimension of this moment is not a sideshow. The film is in theaters now and available to rent on Apple TV and Fandango at Home. Not a paid placement, just a candid recommendation. Go see it.
🗒️ Community Notes
📣 Leadership Announcements at AIC

Today we're proud to announce the next leadership milestone for our community. AJ Green is stepping into the role of Executive Director, taking over for Chappy Asel.
When AJ started, AIC had fewer than 10,000 members across 10 chapters. AJ joined as full-time staff in mid-2025 and has since helped grow this organization into the world's largest grassroots AI community — 250,000+ members across 200+ chapters in 50+ countries. AJ built the media and partnerships engine that now reaches hundreds of thousands of founders and executives every week.
AJ has poured thousands of hours into making AIC what it is today, and we couldn't be more proud to see him step into this role as we head into the most ambitious chapter of this organization's history.
🎉 Our HumanX Calendar is LIVE
We’re bringing seven sessions to HumanX in San Francisco — and you don’t have to be there in-person to join. Every session is open to the global AIC community, and this week we are unveiling our HumanX programming one day at a time.
Register at the links below on each session to tune in from anywhere in the world. If we’ll see you at the conference, same links apply — grab your spot.
Tuesday, April 7
9:00 – 9:45 AM PT Building the AI-Powered Enterprise Wolf Ruzicka (Unlimit), Bill Raymond 📍 Pitch Stage · Panel
10:00 – 10:45 AM PT SaaS Pocalypse: Is AI About to Eat Enterprise Software Whole? Zhenbo Yan, Sam Liang (Otter.ai), Josh Haas (Bubble), Adelina Martiniuc (RoryPlans), Dmytro Spodarets (Data Phoenix) 📍 Living Room · Discussion
11:00 – 11:45 AM PT AI & the Economy: Pricing, Value, and the Era of Abundant Intelligence Daniel Tenzer, Esra Kucukciftci (Pricing Innovations), Manmit Shrimali (Turing Labs) 📍 Living Room · Discussion
1:00 – 1:45 PM PT Defensible Moats: Do You Actually Have One? Andy Oliva, Homer Wang (TinyFish), Swati Deo (Salesforce), Nathalie Criou (Vapi) 📍 Living Room · Discussion
2:00 – 2:45 PM PT Building Future-Proof: Product Roadmaps in a World That Won't Stop Shifting Samridh Bhattacharjee, Faraz Yaghouti (Drata), Avani Tanna (Mastercard), Adelina Martiniuc (RoryPlans) 📍 Living Room · Discussion
3:00 – 3:45 PM PT Claude CoWork & the .md Revolution Catherine McMillan, AJ Green 📍 Living Room · Discussion
4:00 – 4:45 PM PT Office Hours: Investor AMA Carl Fritjofsson (Creandum), Anne Dwane (Village Global) 📍 Living Room · Discussion
All times Pacific. Register at your session link — we’ll see you there, wherever “there” is for you.
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About Noah Frank
Noah is a researcher, innovation strategist, and ex-founder thinking and writing about the future of AI. His work and body of research explores the economics of emerging technology and organizational strategy.

About Joy Dong
Joy is a news editor, writer, and entrepreneur at the forefront of the emerging tech landscape. A former educator turned media strategist, she currently writes TEA, where she demystifies complex systems to make AI and blockchain accessible for all.
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