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
Manus AI didn’t even exist nine months ago. Today, it’s Meta’s 3rd largest acquisition ever ($2B) & is one of the fastest product to grow to $100M ARR.
Meta is finally entering the game by bringing in Manus's agentic expertise and bridging the gap between "thinking" and "doing."
Manus is entering the next chapter: we’re joining forces with Meta to take general agents to the next level.
Full story on our blog: https://t.co/huPrnbITCi
🚨 @Lovable just raised $330M a $6.6B valuation with only ~100 employees.
That is $66M per employee. 🤯
The story isn't the money, it’s the timeline:
0 to $6.6B in 25 months
@antonosika & team aren't just challenging how software is built but also companies are scaled.
The winners of the AI era won't look like a software company rather like an agency. They won't sell tools, only Results.
If you are an AI founder, stop asking "What should I charge per user?"
Start asking: "What is the price of the problem I just solved?"
The SaaS Pricing Playbook is dead.
For decades, the math was simple:
Value = Units × Price.
Salesforce sold Seats. Twilio sold API calls. AWS sold Compute.
But AI breaks this linear logic.
Here is why the next $100B company won't charge per seat. 🧵
The shift is already happening in the "Service Layer." • Intercom is pivoting to "Resolution Pricing" ($ per ticket closed). Coding Agents will eventually move to "PR Pricing" ($ per merged pull request).
We are moving from "Software as a Service" to "Service as a Software."
The best AI PMs I’ve met weren’t the most experienced, they were the most curious.
If you’re transitioning into AI PM right now, don’t focus on “being technical.”
Focus on thinking like a scientist, iterating like a startup, and shipping like a PM.
4️⃣ From product manager to translator.
You’re working with researchers, engineers, and business stakeholders who all speak different languages.
The magic happens when you can translate trade-offs clearly such as accuracy vs cost, autonomy vs trust and get everyone aligned.
only video you need to see what OpenAI released today at DevDay 2025!
> apps sdk �� build native apps inside ChatGPT
> agentkit → openai’s version of n8n
> chatkit, evals
> more powerful codex
> new models in the API → sora 2, gpt-5-pro
The takeaway?
Strong tech is just the starting point. How you price, present, and position your product defines whether you're seen as credible — or overlooked.
If you’ve built from India and sold into the US, what is the one thing you wish you'd known earlier?
💵 The biggest blindspot I see when India-built teams expand into the US? Market perception.
Over the years, I’ve seen teams with strong products end up being underestimated — not because of weak tech, but because of how they positioned themselves.
Here’s what goes wrong:
4. Trust Travels
The US is a relationship-driven market. Warm intros, credible references, and trusted advisors matter as much as your feature set. A cold email with a better, cheaper pitch rarely beats a warm intro from someone they trust — especially in enterprise.