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AI Accelerator

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11 contributions to AI Accelerator
🚀 New Video: I Built an AI Second Brain That Fixes Its Own Mistakes (Karpathy's Method)
Karpathy posted his "LLM knowledge base" setup and 100k+ people saved it. Almost nobody built it. So I built a simpler, local version in Claude Cowork that files your notes, answers from your own stuff, and once a month audits and cleans itself. No code, no Obsidian, no database. - Three folders, one file. raw (your messy inbox), wiki (AI writes it, you never touch it), outputs (answers + reports), plus a CLAUDE.md rulebook that makes Claude your librarian. - One prompt builds the wiki. Claude reads everything in raw, finds the topics, writes a plain-English page each, links them, and indexes it. No RAG needed at this size. - Answers cite sources and save themselves. Ask a question, it pulls the exact pages, tells you which it used, and files the answer in outputs so the brain compounds. - The monthly check-up is the point. It hunts contradictions, unsourced claims, and gaps, web-searches to fact-check, and shows a report before changing anything. Save it as a Skill, put it on a timer, done. 📎 Full Second Brain guide PDF pinned below — every prompt, the exact CLAUDE.md rules, and the monthly audit skill. This is the kind of build we run inside The AI Accelerator (free, 19k+ members). Come grab the prompts and share your setup. 👉 What would you point your second brain at first — AI, your clients, or something else? [Watch the video here ▶️]
@Nick Puruczky What strikes me most is the philosophy behind it. Most people treat AI like a search engine ask, get an answer, move on. Nothing compounds. But what Karpathy figured out and what you've made accessible without code or databases is that the real power is in accumulation. The wiki isn't just storing knowledge. It's synthesizing it, cross-referencing it, and catching its own blind spots. That monthly self-audit isn't a feature, it's the whole point. A brain that cleans itself is a brain you'll actually trust. To answer your question I'd point mine at my clients and systems first. Every conversation, every insight, every pattern I notice in who I serve and how I serve them all of it living in one place that grows smarter over time instead of getting buried in notes I never revisit. That's not just a second brain. That's a business asset. Downloading the PDF now. Building this week. Thank you for not just sharing Karpathy's method but actually building the simpler version the rest of us can use. That's the difference between inspiration and implementation. Nick Puruczky This is genuinely one of the most practical builds I've seen shared in this community and I've been sitting with it all day before responding because I wanted to give it the weight it deserves.
@Nick Puruczky The idea of an AI second brain that fixes its own mistakes using Karpathy’s method is next‑level. What really hit me is how different your results become once you stop treating AI like a one‑off tool and start treating it like a system that improves itself every time it runs.I’ve been building out my own version of this, and the biggest unlock has been adding a self‑critique → improvement → re‑run loop. The moment I did that, the quality of my outputs jumped instantly. It’s wild how much better AI performs when you let it evaluate its own work before you ever see it.Here’s the question I’m sitting with now: If your AI can learn from its own mistakes… what’s the limit? Because this feels like the beginning of something way bigger than “better prompts.”Curious — is anyone else here building a second brain that evolves on its own? What’s been your biggest breakthrough so far?
🏆 We Have a Winner — This Month's #1 Takes Lifetime AIA+ Access
The clock ran out, the board is locked, and we've got our champion. 🔥 👑 Congratulations to Nishit Rathod — finishing #1 with a massive +57 and locking in FREE Lifetime AIA+ Membership. That's full access to AI Accelerator+ for life. No fees, ever. You're in for good, Nishit. You earned every bit of it. 🙌 And here's what made it real — Nishit didn't win by luck. He showed up, shared, and helped. Day after day. That's the whole game. Massive shout-out to everyone who battled for the top spots this month: 🥈 Surya Banthia — +33 🥉 Andrea Lopez — +20 4️⃣ Asad Patel — +17 5️⃣ Abhinav Jaiswal — +14 Every one of you moved the community forward — and we're rolling out rewards for #2 and #3 soon, so that effort is about to pay off even more. 👀 Here's the takeaway for everyone watching: the leaderboard resets, but the habits don't. The people at the top aren't doing anything you can't do. They just keep showing up. 🔄 New month, new board, new shot. The race starts NOW. Drop a 🎉 to congratulate Nishit — and a 🚀 if you're going for #1 this month. Let's go. 💪
🏆 We Have a Winner — This Month's #1 Takes Lifetime AIA+ Access
2 likes • 10d
@Surya Banthia Same curiosity here! The fact that there are prizes for 2nd and 3rd makes this even more exciting — keeps everyone fired up to push harder each round. Can't wait to find out!
2 likes • 10d
@Nishit - reStrucAI No thanks needed, thats what we're here for to lift each other up as well assist in anyway possible💪
🚀 New Video: I Spent 4 Days With Claude Opus 4.8 — Here's What Anthropic Isn't Telling You
Before this dropped, I had basically given up on Claude. 4.7 was so frustrating I'd moved most of my coding to GPT-5.5. Opus 4.8 pulled me right back in. I spent the last few days doing nothing but testing it side-by-side with 4.7 on real builds — here's the honest read. The frame nobody is connecting: - 4.7 dropped April 16. 4.8 dropped 42 days later — fastest Anthropic has ever turned a model around - The reason: they had a compute crisis. Anthropic grew 80x this year (planned for 10x). CEO confirmed it on record - The fix: a $1.25B/month deal with xAI for 220k+ GPUs. The same week the deal landed, Anthropic doubled limits in Claude Code - And the kicker — the price didn't move. 4.8 still $5/$25 per M tokens. Fast mode 3x cheaper What's actually different from 4.7: - The second-guessing loops are gone. 4.7 would talk itself out of the right answer and back into it while you watched tokens drain. 4.8 commits - Long-running tasks finally work. 4.7 drifted, redid old decisions, asked "should I keep going?" every few minutes. 4.8 holds the thread. You can leave it alone on a big job - /goal, dynamic workflows, ultracode — Anthropic shipped the long-run tooling alongside it. The model + the tools finally pull in the same direction Two real tests in the video (built same prompt on both): - Solar system simulator — 4.7 built a working orbit demo. 4.8 added click-a-planet stats, fly-through, and land-on-surface modes. Same prompt - 2001 + 2026 encyclopedia — 4.7 built two good versions. 4.8 tied them together with a single idea: "a clickable link was born blue in 1991 and we kept the blue" Where GPT-5.5 still wins: Terminal-Bench (78 vs 74). Anyone telling you 4.8 sweeps the board is lying. But on Agentic coding it's 69 vs 58 — and it's the strongest model Anthropic has ever shipped on computer use. My verdict: if you gave up on Claude over the last 6 weeks, this is the one to come back for. It's what 4.7 should have been the whole time. Feels like 4.6 with the rough edges smoothed off.
2 likes • 10d
@Mary Sheilag USA as well ,lets grow and continue to be great together💪🚀
@Jackson Gorringe Hello welcome to our smartastic community🤓Lets grow and be great together💪
🤖 Want to Learn AI Agents? Start With These 3 Free Resources
Two job postings I found pay up to $500K and $240K a year — and they both want the SAME skill: building AI agents. 90% of developers don't have it yet. Watch the video here:https://www.instagram.com/reel/DZOPDR5AYbG/?utm_source=ig_web_copy_link&igsh=MzRlODBiNWFlZA== The good news? You can learn it for free, even with zero AI background. Go through these in order: 1️⃣ Hugging Face — Agents Course 🔗 https://huggingface.co/learn/agents-course Fully structured, beginner-friendly. Takes you from absolute zero to building multi-agent systems. You finish with a FREE certificate you can put straight on your LinkedIn. → Start here to build your foundation. 2️⃣ Google — ADK (Agent Development Kit) Crash Course 🔗 https://google.github.io/adk-docs/ Teaches you to build agents on Google's own framework. Because Google built it, companies are about to adopt it everywhere — learning it now puts you ahead of the curve. → Do this second to learn a production framework. 3️⃣ LangChain Academy — Deep Agents 🔗 https://academy.langchain.com/ Covers LangGraph and the Claude Agent SDK — the exact tools those high-paying job postings are asking for. Tons of companies already run this in production. → Finish here to learn what employers want right now. 📌 The Order That Works: Foundation (Hugging Face) → Framework (Google ADK) → Production Tools (LangChain). Do all three and you'll go from zero to genuinely employable in one of the most in-demand skills on the market. Of course, join our AI Accelerator+ to learn more beyond that :) Drop a 🔥 if you're going to start this week.
3 likes • 10d
@Nick Puruczky This is exactly what I needed to see today. AI agents have felt like a massive wall to get over — having a clear roadmap like this makes it feel so much more approachable. Already taking notes!
Kok Right?! Once you see how the pieces connect it opens up a whole new world of what's possible. So much to build on here excited to put this into action!
Speed, Execution & Momentum
Grand rising, Accelerator family 🤓💜 Today I move fast, think smart, and execute with precision. Momentum is my superpower. Consistency is my edge. I accelerate toward my goals with clarity and unstoppable energy 💪🏼
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Henrietta Spady-White
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@henrietta-spady-white-1205
"Henrietta Spady-White | AI Advantage Navigator | Helping entrepreneurs leverage AI to grow smarter, faster, and with confidence."

Active 2h ago
Joined Jun 4, 2026
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New Jersey, USA
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