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Be Not Afraid: Gods, Monsters, and Generative AI
This past June, Julie Fredrickson and I handed out AI whitepills to a conference full of farmers, academics, dissidents, and not a few Uncle Ted fans…
Jul 13
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Jon Stokes
and
Julie Fredrickson
20
1
The Latent State Window and the Limits of Reasoning in LLMs
A detailed look at recent papers on the limits of reasoning in LLMs.
Jul 5
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Jon Stokes
17
1
June 2025
Did Claude Code Lose Its Mind, Or Did I Lose Mine?
Claude and I drifted apart, and it turns out it was my fault.
Jun 8
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Jon Stokes
16
May 2025
The Reasoning Revolution In AI: How We Got Here & Why It Matters
From Claude Shannon in the late 1940's to DeepSeek R1 and beyond.
May 5
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Jon Stokes
14
April 2025
In Defense of Cluely.com
Sometimes cheating is good, actually
Apr 22
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Jon Stokes
40
15
Doing Real Work With LLMs: How to Manage Context
Of roguelikes and grounding problems
Apr 14
•
Jon Stokes
33
1
How to Do Real Work With LLMs, Part 1
3D flight simulators and Turing tests are cool, but some of us have real work to do
Apr 5
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Jon Stokes
29
June 2023
To De-Risk AI, The Government Must Accelerate Knowledge Production
A guest post on addressing non-existential AI risk scenarios
Jun 30, 2023
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Jon Stokes
19
3
How To Regulate AI, If You Must
The rules are definitely coming, so let's make sure they lead to a future we want.
Jun 22, 2023
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Jon Stokes
20
1
Here's How Generative AI Can Fix The News
One way or the other, we're on the verge of a media revolution thanks to generative AI. Here are specific, detailed proposals for how LLMs can make the…
Jun 15, 2023
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Jon Stokes
16
10
Catechizing the Bots, Part 2: Reinforcement Learning and Fine-Tuning With RLHF
On overview of unsupervised learning, reinforcement learning, and reinforcement learning with human feedback (RLHF).
Jun 10, 2023
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Jon Stokes
21
May 2023
Catechizing the Bots, Part 1: Foundation Models and Fine-Tuning
A basic introduction to fine-tuning foundation models.
May 28, 2023
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Jon Stokes
24
7
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