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Revenge of the GPT Wrappers: Defensibility in a world of commoditized AI models
Why network effects and distribution will be king, once more
542
Recursive Language Models (RLMs)
We explore language models that recursively call themselves or other LLMs before providing a final answer. The aim is essentially unbounded context, and a way through context rot.
543
An overview of gradient descent optimization algorithms (2016)
Gradient descent is the preferred way to optimize neural networks and many other machine learning algorithms but is often used as a black box. This post explores how many of the most popular gradient-based optimization algorithms such as Momentum, Adagrad, and Adam actually work.
544
If you believe in "Artificial Intelligence", take five minutes to ask it
Here’s a Mastodon thread from a year ago. Just a quick check on how ChatGPT’s getting on … Me: Who reassigned the species Brachiosaurus brancai to its own genus, and when? ChatGPT…
545
Richard Stallman on ChatGPT
I define "intelligence" as being capable of knowing or understanding, at least within some domain. ChatGPT cannot know or understand anything, so it is not intelligence. It does not know what its output means. It has no idea that words can mean anything.
546
You can’t build a moat with AI (redux)
Using LLMs doesn't make a product special anymore
547
Absolute Zero Reasoner
Current reasoning models trained with Reinforcement Learning with Verifiable Rewards (RLVR) often rely on manually curated datasets, raising scalability concerns and potentially limiting future AI growth beyond human-defined tasks. To address this, we propose the Absolute Zero paradigm, where a single model…
548
Grok 3: Another win for the bitter lesson
Congratulations to the xAI team—and the advocates of the scaling laws
549
The Unreliability of LLMs and What Lies Ahead
The Unreliability of LLMs & What Lies Ahead
550
I tried coding with AI, I became lazy and stupid
Robots won't replace me, but another human probably will.
551
It's OpenAI's world, we're just living in it
The best Stratechery content from the week of October 6, 2025, including OpenAI’s Windows strategy, Sam Altman and boundless ambition, and the future of creation.
552
Three kinds of AI products work
The very first LLM-based product, ChatGPT, was just the ability to talk with the model itself: in other words, a pure chatbot. This is still the most popular…
553
Knowledge Management in the Age of AI
My personal website
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Tversky Neural Networks
Psychologically Plausible Deep Learning with Differentiable Tversky Similarity
556
"ChatGPT said this" Is Lazy
When you paste ChatGPT’s response instead of your own feedback, you’re not being helpful. You’re being lazy and creating more work for everyone.
557
If writing is thinking then what happens if AI is doing the writing and reading?
Then what happens if AI is doing the writing and reading?
558
Attention Wasn't All We Needed
Personal blog of Stephen Diehl - Software engineer writing about technology, programming, and the future
559
The "AI 2027" Scenario: How realistic is it?
Everyone’s been talking about it. JD Vance read it. What does it actually tell us?
560
The architecture of “not bad”: Decoding the Chinese source code of the void
WTF moment: Why my native OS refuses to return a "True" value.
561
Is outbound going to die?
HN Discussion
562
Reality Check
Like this newsletter? Why not listen to the podcast version on Better Offline? Part 1 is out now (here're other links), and Part 2 comes out Friday May 2nd! I'm sick and god-damn tired of this! I have written tens of thousands of words about this and
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Google's new AI mode is good, actually
When I wrote about how good ChatGPT with GPT-5 is at search yesterday I nearly added a note about how comparatively disappointing Google's efforts around this are. I'm glad I …
565
AGI is not imminent, and LLMs are not the royal road to getting there
First slowly, and then all at once, dreams of LLMs bringing us to the cusp of AGI have fallen apart.
566
A guide to Gen AI / LLM vibecoding for expert programmers
I get it, you’re too good to vibe code. You’re a senior developer who has been doing this for 20 years and knows the system like the back of your hand. Or maybe you’re the star individual contributor who is the only person who can ever figure out how to solve the hard problems. Or maybe you’re the professor who…
567
Understanding Spec-Driven-Development: Kiro, Spec-Kit, and Tessl
Notes from my colleagues on AI-assisted software delivery
568
GitHub Copilot: Remote Code Execution via Prompt Injection (CVE-2025-53773)
This post is about an important, but also scary, prompt injection discovery that leads to full system compromise of the developer’s machine in GitHub …
569
A trillion dollars (potentially) wasted on gen-AI
The machine learning community is finally waking up to the madness, but the detour of the last few years has been costly.
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