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Claude Fable 5 gets playable fast
Plus: Apple gives Siri another reset
Rimsha Bhardwaj, Hasan Toor & Ihtesham Haider
June 11, 2026
In partnership with
Hello, Prohuman
Today, we will talk about these stories:
Anthropic’s game-making model lands
Google tests faster local AI text
Siri AI moves into Apple’s apps
Where to Invest $100,000 Right Now, According to Experts
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Bloomberg asked where experts would personally invest $100,000 for their March monthly edition.
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Why?
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Shares in new offerings can sell quickly but...
*According to Masterworks data. Investing involves risk. Past performance is not indicative of future returns. See important Reg A disclosures at masterworks.com/cd.
Fable 5 makes coding feel less fixed
Image credits: Google
Ethan Mollick made a playable Snake game from one prompt.
Anthropic released Claude Fable 5, the first public version of its Mythos model, and Mollick says it beat other public models he has used by a wide margin. He also said it could work for up to a dozen hours on multi-page specs.
The games sound rough, especially the tunnel game with degraded Myst-like graphics, but that is the point. This feels like another step toward software becoming something people shape quickly before they fully understand the final product.
For founders, the signal is simple: prototype speed is moving again. For software teams, the hard part may shift toward taste, testing, and knowing which weird thing on the screen is worth keeping.
What happens when the first draft is already playable?
Google pushes text generation toward real time
Image Credits: Google
DiffusionGemma can hit 1,000+ tokens per second on a single NVIDIA H100.
Google released DiffusionGemma, an experimental open 26B Mixture of Experts model under Apache 2.0. It generates 256-token blocks in parallel, which helps it run up to 4x faster on dedicated GPUs than typical token-by-token models.
The trade-off is clear here: Google says standard Gemma 4 is still better for production quality. I think DiffusionGemma matters because it is aimed at the annoying delay that makes local AI tools feel stiff during editing, coding, and rapid drafting.
The most useful use cases may be narrow ones, like in-line edits, code infilling, Sudoku-style constraint tasks, or anything where the model needs to see the whole block at once. The bigger signal is that local AI may start feeling less like waiting at a keyboard and more like watching text snap into place on the screen.
Will developers accept lower quality if the response feels instant?
Siri is finally being treated like infrastructure
Image Credits: Apple
Apple says Siri AI can pull a hotel confirmation from an old email.
Apple introduced Siri AI on June 8, with developer testing across iOS 27, iPadOS 27, macOS 27, and visionOS 27. The assistant now has personal context, onscreen awareness, web answers, a dedicated Siri app, and Visual Intelligence across iPad, Mac, and Vision Pro.
This is Apple admitting the old Siri could no longer carry the product experience. The important part is the system access: messages, photos, Spotlight, app actions, the camera, and the small text box where people actually type.
The rollout is still constrained, with user beta later this year and no initial iOS, iPadOS, or watchOS access in the EU. On a phone screen in bright kitchen light, the difference will come down to whether Siri can handle ordinary messy requests without making people repeat themselves.
Will users trust Siri again before they stop trying?
Prohuman team
Covers emerging technology, AI models, and the people building the next layer of the internet. |  Founder |
Writes about how new interfaces, reasoning models, and automation are reshaping human work. |  Founder |
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