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
Impressive from Canton. For years, banks talked about creating private blockchain consortiums. Canton has effectively created a public blockchain consortium by getting most of Wall Street on the Digital Asset balance sheet. Impressive strategy, technology, and execution.
@adityaag Nice piece. Velocity is now cheaper but ambiguity more expensive. Sharing a similar draft I wrote, with a product debt angle:
https://t.co/aeKfzQ1DsX
Mezo (MEZO) is now live on coinbase․com and in the Coinbase app. Coinbase customers can log in to buy, sell, convert, send, receive or store these assets. https://t.co/EjfgHgH18O
Mezo token goes live on Coinbase!
This one hits different ��
Over 2 years of hard work and relentless building… Incredibly proud to see the baby finally meet the market. Huge milestone for the team and the community.
Go $MEZO!
The New Product Economics:
Manage product like a balance sheet.
Not just faster shipping or better specs. Clarity should compound faster than debt.
https://t.co/jyTf54qu3q
@sachinrekhi Start thinking your product board like a balance sheet. Quantify your bets compared to debt. Be the center of gravity for clarity on collective intent and real time learning.
in a world of agents, the product role is going to split into two jobs:
- one that organizes humans (stakeholders, design, eng)
- one that organizes agents (prompts, evals, workflows, etc)
Both will be in pursuit of offering the right products to customers, but how you get there will dramatically change. What happens to the typical product rituals? Instead of PRDs, OKRs, standups, product reviews, we'll need the equivalent for agents.
Couple wild ideas here...
instead of standups:
the equivalent is that agents will report back to us based on run logs and anomaly flags. no one needs to say what they did yesterday, the system already did thousands of things. the question is where it broke, where it surprised you, and where it got better. Show us the patterns, the trends, the edge cases - particularly the ones the agents didn't fix automatically. the daily ritual becomes reviewing deltas, scanning failures, and deciding which ones matter. less reporting, more triage
instead of OKRs:
we’ll need adversarial agents that continuously monitor/grade the system and detect patterns, scoring outcomes on an hourly or daily basis. Rather than setting a quarterly goal of "increase X by 5%" and revisiting slowly -- instead, management will be able to monitor success in real-time and detect trends/patterns towards overall goals
instead of PRDs:
we won't need waterfall. Prototyping will rule the day, and we’ll need a living agentic loop that mediates customer feedback/ratings and what's being prioritized and built. you don’t hand it to eng, you deploy it into the agent loop. if it’s wrong, it fails visibly and you can revert. if it’s right, it produces the right output
instead of product reviews:
we'll need simulation systems to examine agent behavior in different scenarios. In an agentic world where UI shifts from buttons/menus to agents automatically doing things, you'll want to examine their behavior before you deploy. You rewind decisions, fork alternate paths, and see how different prompts or constraints would have changed outcomes. the review becomes interactive. less storytelling, more counterfactuals.
The PM sits in the middle of this split. On the human side, still aligning taste, risk tolerance, and strategy across people. On the agent side, shaping the actual behavior of the system through prompts, evals, and feedback loops. one side is persuasion. The other is instrumentation. the best ones will collapse the gap, translating intent directly into systems that act on it.
the fascinating part is that the agentic loop will run 10000x faster than the human one, and of course, you can "hire" them faster. Thus the “organizing humans” half starts to feel slow and lower impact unless it directly improves the agent loop. Eventually the PM will shift towards agents and maybe ignore the human coordination altogether...
The big question in this state of transition is where surplus productivity actually goes absent a “new factory.”
Right now, much of it goes into debt.
AI doesn’t just make companies faster. It makes it easier to initiate more code, features, experiments, and decisions than organizations can fully absorb.
That surplus doesn’t disappear. It accumulates as debt.
Wrote about this from the product lens here:
https://t.co/9HQfIxdN2B