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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>TypeSafe AI</title>
<link rel="icon" type="image/svg+xml" href="./logo.svg" />
<style>
body {
margin: 0;
padding: 20px;
max-width: 100%;
box-sizing: border-box;
font-family: Arial, sans-serif;
line-height: 1.6;
}
.container {
max-width: 600px;
margin: 50px auto;
}
p {
margin-bottom: 15px;
}
b {
color: black;
}
</style>
</head>
<body>
<div class="container">
<p>
The future of AI should be transformative—not incremental. Today,
leading labs like OpenAI and Anthropic focus on LLMs optimized for human
assistance. Yet, instead of unleashing a sci-fi vision of commoditized
intelligence and economic revolution, we've settled for copilots and
marginal productivity gains.
</p>
<p>
Our team—led by Diogo Almeida (OpenAI, Google Brain, co-inventor of
InstructGPT, RLHF, ChatGPT, and GPT-4), Erik Gafni (Ravel co-founder,
multimodal AI), and Sasha Sheng (Meta AI)—is redefining this paradigm.
</p>
<p>
Leveraging our co-founder's pioneering work in Reinforcement Learning
with Human Feedback (RLHF) and Instruction-Following models at OpenAI,
we've fundamentally redesigned LLMs for automation. By re-imagining the
entire stack from the ground up, we optimize explicitly for
AI-to-computer interactions rather than human-in-the-loop scenarios.
</p>
<p>Let's <b>automate the boring stuff</b>: joinus@typesafe.ai</p>
</div>
</body>
</html>