Anthropic Secret “Claude Mythos” Model Leaked
Something unusual just happened inside Anthropic and it wasn’t intentional.
Security researchers uncovered nearly 3,000 internal documents in a publicly accessible database. Among them were draft materials describing a new AI model called “Claude Mythos” (internally referred to as Capybara).
What makes this significant isn’t just the leak it’s what the documents reveal.
This isn’t a minor upgrade. It appears to be an entirely new tier of AI capability, reportedly outperforming the current flagship Claude Opus models across coding, reasoning, and even cybersecurity tasks.
If accurate, this suggests Anthropic is preparing to make a major leap forward in model performance, potentially reshaping the competitive balance in AI.
Why this matters
This isn’t just about one company.
It highlights how quickly AI capabilities are advancing behind the scenes often faster than what’s publicly released. A model that significantly surpasses today’s top systems could reset expectations across the entire industry overnight.
It also raises a different kind of concern:
If such powerful systems are already being developed quietly, how much of AI progress are we not seeing yet?
OpenAI Kills the Sora API – Quietly
In a move that caught many by surprise, OpenAI has announced the discontinuation of the public API for Sora giving developers just 30 days’ notice.
The reason isn’t technical failure.
It’s economics.
Internally, the cost of generating high-quality video was described as “economically irreconcilable” with what users would realistically pay. In simple terms, the infrastructure required to run Sora at scale is still too expensive to sustain as an API product.
This is a rare moment where reality catches up with hype.
Why this matters
Sora was one of the most talked-about AI breakthroughs a glimpse into a future where anyone could generate cinematic video from text.
But this decision reveals something deeper:
Even when the technology works, making it viable at scale is an entirely different challenge.
For the industry, this is a wake-up call.
AI video isn’t just a technical problem it’s an economic one.
And until that equation is solved, widespread adoption may take longer than expected.
Alibaba’s Qwen 3.5 Brings Powerful AI to Your Pocket
While some companies are struggling with scale, Alibaba Group is moving in the opposite direction.
The company has released its Qwen 3.5 small model series, ranging from lightweight 0.8B to 9B parameter models designed to run on laptops and even smartphones.
What’s surprising is not just the size, but the performance.
The 9B model reportedly achieved a GPQA Diamond score of 81.7, outperforming significantly larger models — including ones over 10× its size.
This flips a long-standing assumption in AI:
bigger models are not always better.
Why this matters
This could be one of the most important shifts happening right now.
Instead of relying on massive cloud infrastructure, AI is becoming local, portable, and accessible. That means:
- Lower costs
- Faster deployment
- Wider global adoption
For users, it means AI that runs directly on their devices.
For companies, it challenges the dominance of cloud-based AI giants.
In many ways, this is how AI truly becomes mainstream not through bigger models, but through more accessible ones.
Liked this issue? Get the next one free.
One email on Tuesday. Unsubscribe in one click.