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LLM Watch

Pascal Biese
Hundreds of paid subscribers

Weekly newsletter about the most important AI research with a focus on Large Language Models (LLMs). Get insight on the cutting edge of AI from a human perspective.

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Substack
PricingFreemiumPublishesWeekly
Issues232Founded4 years agoLast Issue7 days ago
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llmwatch.com
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Latest Issues

Papers You Should Know About

For anyone that hasn’t seen it yet, I started a YouTube channel where I’ll upload explainer-style videos of both papers discussed in my newsletter and introductory content about important AI concepts.


This week in LLM Watch:

  • B...
7 days ago
20

Papers You Should Know About

Welcome to this week’s issue of LLM Watch!

For anyone that hasn’t seen it yet, I started a YouTube channel where I’ll upload explainer-style videos of both papers discussed in my newsletter and introductory content about important AI conc...

15 days ago
16

Just-in-Time Memory

Most agent memory systems curate at write time. When a task finishes, the system reads the trajectory and distills it into a reflection, a workflow, a skill or a reasoning strategy, then stores that artifact for similarity retrieval later....

17 days ago
11

Papers You Should Know About

Welcome to this issue of LLM Watch. The six pieces this week cover how to secure and check agents in production. They look at where agent code runs, which inputs judges and planners should trust, and how cheaply you can re-test an agent tha...

23 days ago
14
1

The Harness-Maxxing Trap

In early August, a 27-billion-parameter open-weight model went head-to-head with a frontier model on Terminal-Bench 2.0. People were sceptical: Yes, the model was good. But not that good. Something wasn’t right. Take this GitHub issue: a de...

2 months ago
31
1

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  • Pascal Biese

    Human engineer reporting from the cutting edge of AI.

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