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🚀 New Video: GPT-6 Astra Changes Everything About AI
OpenAI released GPT-6 Astra and almost every video is reading the wrong number. They pull up the token price — $10 in, $50 out, identical to Claude Fable 5.1 — then go argue about AGI. The AGI argument is fun; it doesn't change anything about your business this week. Here's the moral up front: AI stopped getting cheaper per token and started getting cheaper per finished job. - The number that matters: cost per task. Same coding test, Astra scores slightly higher than Fable 5.1 and OpenAI's own line says it gets there at ~63% lower cost per task — roughly $7 a job against $19. And it's the same shape four times on the same page: terminal ~63% lower, CAD 86% lower, science 31% lower, reasoning 37% lower. It takes fewer tokens to get to done — it doesn't wander and doesn't retry six times. So you stop comparing model to model and start comparing it to the $22/hr person doing your follow-ups and proposals. - Two more worth knowing. On the scope test (does it go outside the lines to finish a hard job?) their last model ran at 48%; Astra hit 0%. 48% is a model you babysit, 0% is one you delegate to. And on computer use it scores higher than the last model at ~40 minutes a job instead of 75 — faster and more accurate, which normally doesn't happen. - The number that doesn't matter. 99.9% on ARC-AGI-3 is OpenAI's own harness; on the standard one it's 62.7 — still best in the world, just not 99. ARC Prize themselves said saturating their test wouldn't prove AGI. And it doesn't win everything: Fable still takes Humanity's Last Exam 65–57 and leads the Artificial Analysis index. My take: two things I'm changing before I even get access. My job moves from operator to reviewer — when a model runs on its own for a day and a half the bottleneck is how well you scoped it and how carefully you check what comes back. And patch your stack: this is the first model OpenAI rates critical for cyber, and it found real unknown vulnerabilities on its own in testing. Also, it's overkill for day-to-day — keep a cheaper model for routine work and point this at the hard thing.
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What do you actually get if you upgrade to AI Accelerator+?
What do you actually get if you upgrade to AI Accelerator+? Some of you have never heard of AI Accelerator+. Others have, but the part that trips you up is the actual difference between this free group and the paid one. Either way, this post will give you clarity. ───The Free Group─── This free group is a bundle of quick resources pulled from my YouTube videos, plus a massive open community that anyone can join. We’re 19,000+ strong in here. It’s a great place to get your bearings and see what’s possible. But because it’s open to everyone, it can get noisy and overwhelming. There’s no clear path through it. You can get help from other members, but I rarely answer questions in here myself. AI Accelerator+ Is The Opposite AI Accelerator+ is a smaller room of people who are seriously committed to building with AI, automating their work, and either landing paid opportunities or making their own business leaner. Me and my team are in there every single day. Not a moderator. Not a chatbot. Me and the engineers I actually pay to build this stuff. And right now, it’s tiny on purpose. We’re in the founders stage. That means two things: 1. The price is the lowest it will ever be. 2. You get a level of access you literally cannot get once this room fills up. When you’re one of 30 people instead of one of 19,000, I actually see your questions. ─── Here’s What You Get Inside ─── 1. Two live calls every week. 2. One technical office-hours session with my CTO Keshav, where you bring whatever you’re stuck on and we build and solve it live. 3. One general Q&A with me, where you get direct access to ask me anything — strategy, tools, your specific situation. 4. Full training on the stuff that actually matters right now.** 5. Building agentic workflows. 6. Vibe-coding real apps. 7. Using Claude Code, Codex, and the tools serious builders are using today. 8. And we update it constantly. The way you build today has already moved on from where it was six months ago, and the training moves with it.
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Monthly Competition Series! Win Access to our Paid Program
Hey everyone! I'm thrilled to announce something that's going to take our community to the next level - Monthly Competitions starting this month! Here's what's up for grabs for our top performers each month: 🏆 Priority Work Opportunities - Our top contributors will be much more likely to receive work directly from our team. When projects come up, we'll be reaching out to you first! 🎁 FREE Lifetime Access to our paid community "Agents to Scale" - No more subscription fees, you're in for life! How to Win: - Share valuable insights and knowledge - Help other members with their questions - Post your wins and case studies - Engage consistently and spread positive energy - Contribute content that moves our community forward As you can see in the picture attached, at the end of the month the #1 Rank will be the winner and in the future will provide rewards for #2 and #3 as well! (if you have suggestions for what #2 or #3 should receive then suggest it down below) We believe in rewarding the people who make this community amazing. You're not just building your own success - you're helping everyone else level up too. The competition starts NOW, so let's see who's ready to step up and lead the way! 💪 Keep sharing, keep building, keep growing. Our community gets stronger because of each and every one of you. Let's make this month legendary! 🔥 Drop a 🚀 if you're ready to compete! Cheers guys, Nick
Monthly Competition Series! Win Access to our Paid Program
The AI That Refuses to Talk to You
A new AI model launched this week that can't write a single sentence That's the whole point It's called Jev, from a startup called TypeSafe AI, built by one of the people who helped train ChatGPT Every model we talk about lately, GPT-6 Astra, Fable 5.1, is built to think out loud and answer you like a person Jev does the opposite. You feed it information and a bunch of quick questions. It just replies with instant decisions and how confident it is. No paragraphs, no explanations For example: Ask an AI Agent "is this email urgent?" → A normal AI writes you three lines explaining why. → Jev just says "yes, 92% sure" in under half a second. Why people are paying attention: - Speed: replies in 70-500 milliseconds - Cost: almost free per response, since there's barely any output to pay for - Claim: up to 190x faster and 400x cheaper than regular AI models on tasks like sorting, tagging, or picking what to do next - Adoption: became the fastest-adopted model on Vercel's AI gateway within three days It's not here to replace GPT or Claude for writing or reasoning. It's meant to sit next to them, handle the boring quick decisions, and let the expensive smart model only step in for the hard stuff. If you're building AI agents, would you trust a model that never explains itself, only gives you a number?
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The AI That Refuses to Talk to You
Website Automation Idea
I wrote a rather long article, but I'm sure you'll find it useful. I’m pretty sure at least a few people reading this have tried selling websites before, and maybe some of you are still doing it. I think instead of messaging a business saying “I can build you a website,” it makes a lot more sense to prepare the website first and show it in the first message. The problem is, you never know who is actually going to buy the website and who isn’t, so building a separate website for every business manually takes way too much time and money. That’s why I wanted to automate the whole thing. The system will find businesses on Instagram through Apify, filter out the ones that already have websites, create a separate folder for each business and build a different website for each one. After that it will also prepare a personalized Instagram message and leave it as a draft, so the only thing left for us to do is check the website, check the message and press Send. Apify already gives $5 of free credit on a free account, so at least in the beginning the business finding side can be done almost for free. The system will also save good designs, components and sections it finds on GitHub or creates itself into its own archive, so the more websites it makes, the bigger its own design library becomes and eventually it may not even need GitHub that much anymore. I thought some people might want a clearer and more detailed explanation of the project, so I wrote a longer explanation and gave it to ChatGPT and asked it to rewrite it in the way I normally talk. I’m leaving the full version below. At first I wanted the whole system to run completely with a local AI model. My PC has an RTX 4060 8GB, an i5-12400F and 16GB RAM. I was running Qwen3.5-9B-Instruct-GGUF Q4_K_M, and at around 12k context, if I remember correctly, GPU usage was somewhere around 86-88%. The model worked, but it wasn’t really good enough for the kind of code editing, debugging and adapting external components into existing projects that I wanted it to do. And with only 8GB VRAM I can’t comfortably run much larger models either, so I decided I don’t want the whole system to depend on a local model.
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