HeyJaredTrue Positive Weekly
The most important artificial intelligence and machine learning links of the week.
- Indexed issues, last 90 days
- 15
- Latest publication
- Sep 30, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 30, 2026
Latest issues
True Positive Weekly #180 (opens the original)
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Hey, in this issue: Using agentic AI to secure infrastructure code; on making benchmark results reproducible; Enabling teachers to create learning interactives with generative UI; Pruning LLMs like a physicist; A self-hosted developer control center for coding agents and automations; rollout-as-a-service for RL training of multi-turn LLM agents; High-Level System Design Handbook; and more.This newsletter has no ads. Please support my regular work on curating this newsletter (and my work as a boo
True Positive Weekly #179 (opens the original)
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Hey, in this issue: GPUs: rent vs buy; An agentic data science story; Fine-tuning a 350M model with GRPO; DeepSeek-V4.1-Flash: a strong coder and now can see; An interactive introduction to Fourier Transforms; Random Attention; Physics-Based Deep Learning Book; and more.This newsletter has no ads. Please support my regular work on curating this newsletter (and my work as a book author) by becoming a Cool Supporter 🚀GPUs: rent vs buyAn <a href="https://www.al
I made a Jev competitor (opens the original)
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Hey!Based in my yesterday’s post, I made a Jev competitor that classifies under 300 ms.I called it Jev-Huyev 1.0. Here’s the link: https://www.chapterpal.com/jev-huyev.All you need to test it is a Google AI Studio API key. The key goes directly to Google. I can’t see it.
My thoughts on Jev (opens the original)
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I‘m sure you heard about Jev, but the information about it you could find was nothing but hype. Here’s my thoughts this.1. It cannot be faster to decision than an LLM and be as good. The time an LLM takes until it prints the first token of the answer is equivalent to the compute spent on making a decision. So, if Jev takes less time to output its full output than it takes for an LLM of equivalent size to print the first token, Jev automatically loses in quality.2. You can get the same classifica
True Positive Weekly #177 (opens the original)
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Hey, in this issue: A severe misalignment of AI in mathematics; Data science in the age of AI; A history of large language models; Learning from experience instead of curated datasets; Binary vector embeddings are so cool; A primer to machine learning compilers; Measuring scientific progress; and more.This newsletter has no ads. Please support my regular work on curating this newsletter (and my work as a book author) by becoming a Cool Supporter 🚀A severe <a href="https://terrytao.wordpress.com/
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