Some fun examples, I just gave basic prompts and the AI executed:
Balatro, but for coin flipping (all the design and ideas was Fable): https://
play-flipside.netlify.app
The best self-aware snake game: https://
snake-stable-build.netlify.app An isochronic map using real data: https://
isochronic-passage-chart.netlify.app/#syd
SOFTWARE
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AI creates coin-flipping Balatro, self-aware snake, isochronic map
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Fable 5 available in Claude Code and Cowork, best coding model
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Fable 5 is now available in Claude Code and Cowork
— Boris Cherny (@bcherny) 9 juin 2026
Fable is the best model I have used for coding, by a wide margin. It is a big step up, enabling less prompts and steers, more efficient token use, better code quality, better tool use, more intelligent self-verification, longer… https://t.co/RmVfZh39HtFable 5 is now available in Claude Code and Cowork. Fable is the best model I have used for coding, by far. It is a big step forward, allowing fewer instructions and guidance, more efficient token usage, better quality of
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Model pricing: soon 100x more expensive?
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Pricing. According to reports, roughly double the current pricing levels of Claude Opus — down from the 5x Opus suggested by Mythos's initial pricing. Next time, they'll announce that the new model is 100x more expensive, so we are
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Gemini 3.5 Live Translate: Google’s new voice translation model
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Speech translation has been one of the longest-running ML efforts at Google, and we’ve come a long way. Gemini 3.5 Live Translate is our latest speech-to-speech model, supporting 70+ languages. It enables more natural conversations across languages in everyday products and… pic.twitter.com/ZqzSW3V8lY
— Jeff Dean (@JeffDean) 9 juin 2026Voice translation has been one of the most enduring efforts in machine learning at Google, and we have come a long way. Gemini 3.5 Live Translate is our latest speech-to-speech translation model, supporting over 70 languages. It enables
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Big leap in agentic programming and new FrontierCode Diamond benchmark
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Regarding the first benchmark table they share, the big leap is observed especially in agentic programming (where labs get more value from users). The new FrontierCode Diamond benchmark released yesterday, designed to be more difficult than
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Which Local AI Model Would You Run on Your Infrastructure?
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LOCAL AI MODELS Which model would you run on your own infrastructure? Qwen 3.7 Max DeepSeek V4 Gemma 3 GPT OSS Different strengths: Privacy Control Cost efficiency Performance What are you running today? #AI #LocalAI #LLM #Ollama #OpenSourceAI
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Claude Fable 5 in Cursor achieves 72.9% on CursorBench
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Claude Fable 5 is now available in Cursor. It sets a new state of the art on CursorBench at 72.9%, 8 points above the previous best.
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Fable 5: most intelligent model excels in engineering and knowledge
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Fable 5 is our most intelligent model to date, and by far. SOTA on almost all benchmarks, and it truly excels in software engineering and knowledge work. It can run for days, and its lead over other models increases as
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LangSmith: costs, trends, quality, latency, and full course
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LangSmith can help you track costs, uncover trends with trace analysis, and monitor quality and latency.
— LangChain (@LangChain) 9 juin 2026
We created a course that walks you through the full stack. pic.twitter.com/8X6T7w6jS2LangSmith helps you track costs, discover trends through trace analysis, and monitor quality and latency. We have created a course that guides you through the full stack.
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MLA implemented using LoRA in Hugging Face Transformers
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I actually agree and just realize that I totally skipped autoencoders here. Small fun fact though: (in Hugging Face transformers) MLA is implemented using the LoRA tooling