The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees.
The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance.
Access to all other Claude models is not affected.
We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible.
Read our full statement: https://t.co/bwn0sximKZ
Throughput vs. latency is a foundational tradeoff in almost any system. @sailresearchco is building inference for long-horizon agents, so we’re all about the former - exactly as Ben predicts! Software is our first lever here, and in time we’ll rebuild the whole computing stack.
Sequoia just led a seed round for one of my portfolio companies
If you’re somebody who is hyper technical & know what the words “asynchronous inference” means OR you work at a co that has agents doing background tasks (ie Cursor),pls reach out!
It’s just Day 1 for this future🦄
2 cents on the rage baiting stuff - micro and macro
1) So much of succeeding as a company is people actually wanting you to win and helping you out. Champions at companies taking a bet on you, people doing favors for you when you need them, etc.
Even at the user level - if people are embarrassed that they're associated with your product, why would they tell a friend about it to try it out? Evangelism is necessary to succeed, and rage baiting creates more enemies than fans.
2) At a larger level - we're at the point in the cycle where the populace does not like tech. As a result, really helpful technology (e.g. self-drivings cars) is getting as much backlash as AI slop generators.
Tech companies using rage bait is adding fuel to the fire and honestly giving more legitimate reasons for people to dunk on tech CULTURE as whole, which then hurts actually useful technology that would be a huge win for everyone (including investors).
We should all be anti-ragebait
95% of Healthcare data lives in petabytes of SQL databases
The tools for AI to use that data haven't existed
Today we fix that with TextQL Healthcare
100,000+ tables. Trillions of rows. Petabytes of data. 15 minutes to insights. Epic systems with 100,000+ tables. Cerner environments. Claims databases. Clinical notes. Prior authorizations. Healthcare organizations have more data complexity than any other industry - and exactly zero AI platforms built to handle it.
Until now.
Here's what makes it different:
1. Direct access to ALL your systems. No migration required. Epic + Cerner + Claims + Snowflake + Databricks. Everything. At once. Other platforms: 6-month ETL projects. TextQL: Connect Monday. Query Tuesday. First insights in 15 minutes.
2. Healthcare-compliant execution environment. Autonomous agents running production code in SOC 2 Type II, HIPAA-compliant infrastructure. Full audit trails. On-premise deployment available.
3. Structured AND unstructured data. Simultaneously. Everyone else: Claims records OR clinical notes. Us: Both. At the same time. Make sense of 100,000s of tables without months of data prep.
We're not launching with pilots. We're launching with Lumeris - powering their Tom™ AI platform delivering care to millions of Americans. Live partnership. Production workloads. Enterprise healthcare data at scale.
Advisory Board of operators who've run organizations serving 120M+ Americans:
- Varsha Rao (former CEO Nurx, COO Clover Health)
- David Griffith (Trinity Life Sciences, ex-Pfizer)
- Sam Mohanty (former CDO, Prime Therapeutics)
- Jean-Claude Saghbini (CTO, Lumeris)
- Raghu Chandra (30 year EHR Veteran)
These aren't advisors. They're the people who built the systems we're now optimizing.
Meet us at HLTH Conference next week - Booth #4060
Or request a demo: https://t.co/6kJJRvwC4K
Comment "HEALTHCARE" and we'll reach out for a customized demo!