511
Gemini 2.5 Pro reasons about task feasibility
... in which a surprisingly reflective AI tells me no (for good reasons) ...
512
A bubble that knows it's a bubble
Railway Mania, dot-com, AI. Technology bubbles follow a pattern older than any of them. What's different this time is that everyone knows the script.
513
Why Fei-Fei Li and Yann LeCun are both betting on "world models"
Gaussian splats, SIMA 2, JEPA and Genie 3 — and why “world model” now means three very different things at once.
514
If a Meta AI model can read a brain-wide signal, why wouldn't the brain?
In 2023, Meta researchers were able to decode images in thoughts from the brain's magnetic fields. What if that's how the brain coordinates it's own global state?
515
Claude Code vs. Codex: I built a sentiment dashboard from Reddit comments
I scraped hundreds of Reddit comments that compare Claude Code and Codex, and used Claude Haiku to build a sentiment analysis dashboard. The dashboard and my interpretations are shared here.
516
The Math Behind GANs (2020)
Generative Adversarial Networks refer to a family of generative models that seek to discover the underlying distribution behind a certain data generating process. This distribution is discovered through an adversarial competition between a generator and a discriminator. As we saw in an earlier introductory post on…
517
ChatGPT Saved My Life (no, seriously, I'm writing this from the ER)
How using AI as a bridge when doctors aren't available can improve patient-to-doctor communications in real time emergencies
518
LLMs tell bad jokes because they avoid surprises
LLMs suck at comedy, art, journalism, research, and science for the same fundamental reason
519
What's working for YC companies since the AI boom
The goal of this analysis was to understand what’s working for YC companies by looking at which ones have raised Series A rounds.
520
No clicks, no content: The unsustainable future of AI search
AI companies are causing a content drought that will eventually starve them.
521
Wasting Inferences with Aider
Auto-Fixing Bugs from Asana (for 9 cents!)
522
Bitter Lesson is about AI agents
The Race for AI Progress In 2019, Richard Sutton, wrote his groundbreaking essay titled ‘The Bitter Lesson’. Simply put, the essay concludes that systems which get better with higher compute beat the systems that do not. Or specifically in AI: raw computing power consistently wins over intricate human-designed…
523
Why Does Claude Speak Byzantine Music Notation?
A Caesar cipher is a reasonable transformation for a transformer to learn in its weights, given that a specific cipher offset occurs often enough in its training data. There will be some hidden representation of the input tokens' spelling, and this representation could be used to shift letters onto other letters in…
524
The Learning Loop and LLMs
How continuous learning shapes effective software development with LLMs
525
LLMs are getting better at character-level text manipulation
Recently, I have been testing how well the newest generations of large language models (such as GPT-5 or Claude 4.5) handle natural language, specifically counting characters, manipulating characters in a sentences, or solving encoding and ciphers. Surprisingly, the newest models were able to solve these kinds of…
526
AI at Amazon: A case study of brittleness
A year ago, Mihail Eric wrote a blog post detailing his experiences working on AI inside Amazon: How Alexa Dropped the Ball on Being the Top Conversational System on the Planet. It’s a great …
527
DOGE Denizen Marko Elez Leaked API Key for xAI
Marko Elez , a 25-year-old employee at Elon Musk’s Department of Government Efficiency (DOGE), has been granted access to sensitive databases at the U.S. Social Security Administration, the Treasury and Justice departments, and the Department of Homeland Security. So it should fill all Americans with a deep sense of…
528
Sora Update #1
We have been learning quickly from how people are using Sora and taking feedback from users, rightsholders, and other interested groups. We of course spent a lot of time discussing this before...
529
What happens when coding agents stop feeling like dialup?
From magical to frustrating in months. Why AI coding agents feel like dial-up internet and what ultra-fast inference could unlock for developer productivity.
530
OpenAI's "Study Mode" and the risks of flattery
Serious learning requires friction, frustration... and other humans
531
Two kinds of vibe coding
Back in 2009 I posted a simple Mandelbrot fractal viewer on the web: a single HTML file with inline Javascript. Just 329 lines of code, each pixel a tiny table cell. Click to zoom. Watch it iterate. That was about it!
532
The unbearable slowness of AI coding
I’ve been coding entirely with Claude Code for the past two months. At first it was exhilarating. I was speeding through tasks. I was committing like mad.
533
MonkeysPaw – A prompt-driven web framework in Ruby
Be careful what you wish for...
534
The (economic) AI apocalypse is nigh
Like you, I'm sick to the back teeth of talking about AI. Like you, I keep getting dragged into discussions of AI. Unlike you‡, I spent the summer writing a book about why I'm sick of writing about AI⹋, which Farrar, Straus and Giroux will publish in 2026.
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536
When ChatGPT turns informant
The largely overlooked privacy risks of using AI apps that not only remember your conversations, but are capable of using these to reveal your deepest secrets to others
537
The problem with "vibe coding"
An article from dylanbeattie.net
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Comparing Claude System Prompts Reveal Anthropic's Priorities
Reviewing the few changes in the Claude 4.0 system prompts, we get a sense for how system prompts program chatbot applications.
540
The lottery ticket hypothesis: why neural networks work
The lottery ticket hypothesis explains why massive neural networks succeed despite centuries of theory predicting they should fail