As a result of a US government directive, we are suspending access to Claude Fable 5 for all users. You can continue to use all other Claude models.
Here’s what this means for you:
Across Claude products, new sessions will run on your selected default model or Opus 4.8, and existing Fable 5 sessions will end with an error.
On the Claude Platform, requests to Fable 5 will also return an error. Please update your integrations to other Claude models.
We know this is a disruption to your workflows; we appreciate your patience and support.
Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use.
Its capabilities exceed those of any model we’ve ever made generally available.
I’m Bo. I build small AI apps & SaaS in public.
No stealth mode. No fake guru thread. Just:
- raw product ideas
- shipping screenshots
- revenue experiments
- honest lessons from an indie dev trying to build useful things
Follow along if you like watching products go from 0 -> real users.
Built a 20-second product promo from a live website using Codex + the HyperFrames plugin.
Prompt:
“Turn this website into a 20-second product promo: https://t.co/rUCIpkHO4G”
Workflow: capture site → DESIGN/SCRIPT/STORYBOARD → Kokoro voiceover → render MP4.
#HyperFrames #AIVideo
Top 10 Richest People in the World (April 2026) 💰🌍
From tech visionaries to luxury empire builders, the world’s wealthiest continue shaping industries, markets, and innovation.
#1 Elon Musk — $840B
#2 Larry Page — $257B
#3 Sergey Brin — $237B
#4 Jeff Bezos — $224B
#5 Mark Zuckerberg — $222B
#6 Larry Ellison — $193B
#7 Bernard Arnault — $171B
#8 Jensen Huang — $154B
#9 Warren Buffett — $149B
#10 Amancio Ortega — $148B
Who do you think will be #1 next year? 👀
#RichestPeople #Billionaires #Wealth #Business #ElonMusk #AI #Finance #Success
Here are the top 10 global companies by market cap as of Apr 24, 2026. (Image generated by ChatGPT Image 2.0)
AI, semiconductors, cloud, and platform businesses continue to dominate the world’s most valuable companies.
NVIDIA leads the list at $5.279T, followed by Alphabet, Apple, Microsoft, and Amazon.
A few quick takeaways:
• 9 of the top 10 are U.S. companies
• TSMC is the only Taiwan-based company in the top 10
• AI and semiconductor-related companies are becoming the new center of gravity in global markets
The market is telling us one thing clearly:
The next decade belongs to AI infrastructure, chips, cloud platforms, and intelligent consumer ecosystems.
#AI #NVIDIA #Stocks #Tech #Semiconductors #MarketCap #Investing #BigTech
I'm Boris and I created Claude Code. Lots of people have asked how I use Claude Code, so I wanted to show off my setup a bit.
My setup might be surprisingly vanilla! Claude Code works great out of the box, so I personally don't customize it much. There is no one correct way to use Claude Code: we intentionally build it in a way that you can use it, customize it, and hack it however you like. Each person on the Claude Code team uses it very differently.
So, here goes.
Generate persistent 3D worlds from a single image, bigger and better than ever!
We’re excited to share our latest results and invite you to try out our world generation model in a limited beta preview.
New 3h31m video on YouTube:
"Deep Dive into LLMs like ChatGPT"
This is a general audience deep dive into the Large Language Model (LLM) AI technology that powers ChatGPT and related products. It is covers the full training stack of how the models are developed, along with mental models of how to think about their "psychology", and how to get the best use them in practical applications.
We cover all the major stages:
1. pretraining: data, tokenization, Transformer neural network I/O and internals, inference, GPT-2 training example, Llama 3.1 base inference examples
2. supervised finetuning: conversations data, "LLM Psychology": hallucinations, tool use, knowledge/working memory, knowledge of self, models need tokens to think, spelling, jagged intelligence
3. reinforcement learning: practice makes perfect, DeepSeek-R1, AlphaGo, RLHF.
I designed this video for the "general audience" track of my videos, which I believe are accessible to most people, even without technical background. It should give you an intuitive understanding of the full training pipeline of LLMs like ChatGPT, with many examples along the way, and maybe some ways of thinking around current capabilities, where we are, and what's coming.
(Also, I have one "Intro to LLMs" video already from ~year ago, but that is just a re-recording of a random talk, so I wanted to loop around and do a lot more comprehensive version of this topic. They can still be combined, as the talk goes a lot deeper into other topics, e.g. LLM OS and LLM Security)
Hope it's fun & useful!
https://t.co/75mXcUBI8L