What Anthropic’s latest AI discovery does—and doesn’t—show
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Anthropic, currently the world’s most valuable AI company, with a nearly $1 trillion valuation, has a reputation for publishing strange and heady research. It’s looking into whether AI models can feel pain, for example,…
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Anthropic, currently the world’s most valuable AI company, with a nearly $1 trillion valuation, has a reputation for publishing strange and heady research. It’s looking into whether AI models can feel pain, for example,…
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DOOMQL
<p><strong><a href="https://github.com/petergpt/doomql">DOOMQL</a></strong></p> Peter Gostev built this using GPT-5.6 Sol. This is a <em>lot</em> of fun: </p> <blockquote> <p>DOOMQL started with a deliberately unreasonable question: what if SQLite were the game engine, not merely the place where a game stores data?</p> <p>The result is a small, original Doom-like game in which SQL owns movement, collision, enemies, combat, progression and every RGB pixel on screen.</p> </blockquote> <p>It's implemented as a Python terminal script - I tried it out like this:</p> <pre><code>cd /tmp git clo
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