LLM
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How to Make AI That Improves the Wealth Gap
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Transportation workers are being replaced, while translators have more work than ever. How can we design AI to benefit everyone?
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The Unprompting Notecard: Simple Advice for Using AI
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You don’t need to learn prompt engineering to get incredible results from AI. A few short tips and practice are all…
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Why Chat is the Best (and Worst) Interface to AI
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Why do most AI products use chat as their interface? Because conversation allows us to more carefully direct it to what…
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Human-Orchestrated Agents for Better Autonomy
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AI cannot operate on its own for very long. But with a human-in-the-loop, we can execute long and useful plans. Code…
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The Hubris of Scale: A Lesson From Junkmail Detection
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Scale won’t solve every problem, and won’t even solve the main problem of today’s AI!
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Beyond Prompting: The Other Ways to Influence LLM output
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Beyond prompting, learn every other thing that you can do to an LLM, like the sampler, runtime modification, optimization, and other…
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The Magic Promise of Inference-Time Compute
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How much is it worth to solve humanity’s biggest problems? If only there was someone to pay! Agents may enable AI…
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AI’s Hardest Problem: Teaching Us to Use It Better
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Not only is AI smarter than us in most ways, but it is so much smarter than us that we struggle…
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The Tyranny of Chat Interfaces to LLMs
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So much of our interaction with LLMs is via a singular chat box. It doesn’t have to be that way. What…