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Skyfall AI

@skyfallai • 6,557 subscribers

An AI lab advancing intelligence through world models

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Anya Rossi

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We launched the first Engineering World Model, SKY-001, this week and it already outperforms all the frontier LLMs in CAD and BIM in speed, cost and precision. Here’s an example of how our model compares to OpenAI’s Astra, Anthropic’s Fable 5.1 and Google’s Gemini 4. These results did not happen by accident. Read our technical blog to find out how we built SKY-001 (🔗 below).

We launched the first Engineering World Model, SKY-001, this week and it already outperforms all the frontier LLMs in CAD and BIM in speed, cost and precision. Here’s an example of how our model compares to OpenAI’s Astra, Anthropic’s Fable 5.1 and Google’s Gemini 4. These results did not happen by accident. Read our technical blog to find out how we built SKY-001 (🔗 below).

63,558 просмотров • 8 дней назад

Today we present Morpheus, a persistent enterprise simulation platform designed to make Continual Learning a reality. Morpheus is the world’s first real world Reinforcement Learning environment. Every Reinforcement Learning environment operates in the game world. Benchmarks like Atari, OpenAI Gym, MuJoCo, and Procgen are all small, game-like worlds that reset every few minutes. But the real world never resets. A business keeps running and evolving everyday. We tested how frontier LLMs would perform in realistic and dynamic business environments 🧬on Morpheus. The main conclusion was that LLMs are not continual learners. 🧵Here’s how we did it and what we learned:

Today we present Morpheus, a persistent enterprise simulation platform designed to make Continual Learning a reality. Morpheus is the world’s first real world Reinforcement Learning environment. Every Reinforcement Learning environment operates in the game world. Benchmarks like Atari, OpenAI Gym, MuJoCo, and Procgen are all small, game-like worlds that reset every few minutes. But the real world never resets. A business keeps running and evolving everyday. We tested how frontier LLMs would perform in realistic and dynamic business environments 🧬on Morpheus. The main conclusion was that LLMs are not continual learners. 🧵Here’s how we did it and what we learned:

269,894 просмотров • 3 месяцев назад

The first real evidence that the days of LLM Scaling laws are over. Introducing SCOPE: the world's most efficient Neural Planner. 🔍📊 We tested SCOPE vs Frontier LLMs for planning tasks on TextCraft (text version of Minecraft) and here are the results: ⤵️ - SCOPE Runs 55x faster than GPT 3.5 (3 seconds vs 164 seconds) - SCOPE is 160,000 smaller than GPT 4o (11M parameters vs 1.8T parameters) - SCOPE is more accurate on Planning tasks (56%) than frontier LLM models The age of efficient AI models starts now. 🔗📌 Read the full write up here:

The first real evidence that the days of LLM Scaling laws are over. Introducing SCOPE: the world's most efficient Neural Planner. 🔍📊 We tested SCOPE vs Frontier LLMs for planning tasks on TextCraft (text version of Minecraft) and here are the results: ⤵️ - SCOPE Runs 55x faster than GPT 3.5 (3 seconds vs 164 seconds) - SCOPE is 160,000 smaller than GPT 4o (11M parameters vs 1.8T parameters) - SCOPE is more accurate on Planning tasks (56%) than frontier LLM models The age of efficient AI models starts now. 🔗📌 Read the full write up here:

49,170 просмотров • 9 месяцев назад

The first real evidence that LLMs cannot operate businesses, not even tiny ones. At Skyfall, we’re building toward Enterprise Super Intelligence: AI systems that can one day run entire enterprises, coordinate teams and make long-horizon decisions, just like a CEO. To get there, we need to understand what AI cannot do yet. So we built MAPs, a theme park business with real operational constraints and let GPT5 run it. Here’s what happened: (spoiler: it fails miserably)

The first real evidence that LLMs cannot operate businesses, not even tiny ones. At Skyfall, we’re building toward Enterprise Super Intelligence: AI systems that can one day run entire enterprises, coordinate teams and make long-horizon decisions, just like a CEO. To get there, we need to understand what AI cannot do yet. So we built MAPs, a theme park business with real operational constraints and let GPT5 run it. Here’s what happened: (spoiler: it fails miserably)

26,413 просмотров • 11 месяцев назад

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