Steve

Everyone is making AI versions of themselves right now. But nobody is talking about this one. I just turned myself into a Pouty Pal, and it is the most ridiculous thing I have seen all week. Comment "yes," and I will send you the exact prompt + workflow to make yours. #LumaPartner @LumaLabsAI

🚨 BREAKING: MiniMax just dropped M2.7, the first AI model that helped build itself. 88% win rate over its predecessor. Self-evolving architecture. Benchmarks right next to Claude Sonnet 4.6. This is not a routine upgrade. Most models get better because humans fine-tune them. M2.7 took a different path. MiniMax let earlier versions of the model participate in its own training, analysing failures, planning fixes, and running evaluations over 100+ autonomous rounds. The model handled 30–50% of its own R&D workload. That is not automation. That is a model improving itself. Here is what it can do: 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 → 56.22% on SWE-Pro (nearly Opus-level) → 57.0% on Terminal Bench 2 → 55.6% on VIBE-Pro (end-to-end project delivery) → 3-minute incident recovery in certain production environments Full-cycle engineering. Log analysis, bug fixes, code security, ML pipelines, and complete project shipping. 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 → 97% skill adherence across 40+ complex skills → On par with Sonnet 4.6 in OpenClaw → Dynamic tool search, finds and uses the right tool without hardcoding → Native Agent Teams with adversarial reasoning to reduce errors Most models break at 3 tools and a multi-step workflow. M2.7 handles 40+ skills simultaneously. 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗪𝗼𝗿𝗸𝘀𝗽𝗮𝗰𝗲 → ELO 1495 on GDPval-AA (highest among open-source accessible models) → Ranks just behind Opus 4.6, Sonnet 4.6, and GPT-5.4 → High-fidelity editing across Excel, PPT, and Word with multi-turn revisions 𝗛𝗮𝗹𝗹𝘂𝗰𝗶𝗻𝗮𝘁𝗶𝗼𝗻 𝗥𝗲𝗱𝘂𝗰𝘁𝗶𝗼𝗻 M2.5 scored -40 on AA-Omniscience. M2.7 scores +1. Ridiculous jump. The model went from confidently wrong to reliably self-aware. One of the most affordable frontier models available right now. → $0.30 per 1M input tokens / $1.20 per 1M output tokens → Two API versions: standard M2.7 and M2.7-highspeed → Same price as M2.5. Way better model. MiniMax is not just releasing a model. They are showing what happens when AI participates in its own development. The model builds its own agent harnesses, manages data pipelines, and debugs its own failures. ♻️ Repost this to share it with others.

🚨BREAKING: A Stanford dropout mastered machine learning in 72 hours using Claude. Same tool everyone has but asked completely different questions than anyone else was asking. Here is exactly the interrogation strategy that made his PhD advisor stop mid sentence:

Stop Using Claude Wrong! Here is the 7-part prompt that gets outputs nobody can tell were AI generated: Part 1: Task + Identity "I want to [write a LinkedIn post] so that [founders share it with their network]. My role is [AI educator]. The audience is [non-technical business owners]." Claude now knows what, why, who you are, and who reads it. Part 2: Context Files "First, read these files completely before responding: brand-voice. MD, my writing style, and the rules for audience research. MD, what my readers care about past-winners. MD, my top 10 posts by engagement." Claude reads your rules before writing a single word. If it is about to break one, it stops and tells you. Part 3: Reference "Here is a reference of what I want to achieve: [paste a post you admire] Here is what makes it work: Always open with a bold claim. Never use more than 12 words per sentence. Always end with a question." You reverse-engineer what works. Claude follows the blueprint. Part 4: Success Brief "Type: LinkedIn post, 200 words max. Reaction: The reader screenshots it and sends it to a colleague. Does NOT sound like: generic AI, corporate, jargon-heavy. Does sound like: direct, confident, slightly provocative. Success means: 50+ comments and 200+ saves." This is the section that changes everything. Most people skip it. Do not skip it. Part 5: Pre-Flight Check "Before you write anything: List the 3 rules from my files that matter most here. What is unclear or missing? Ask me up to 5 questions. What is the biggest risk of this going wrong?" Part 6: Execution Plan "After I answer your questions, give me your plan (5 steps max). For each step, tell me what and why. Only begin when I say Go." You see the plan before any writing starts. Bad plan? Fix it before wasting a draft. Part 7: Self-Assessment "When you deliver the draft: Mark sections you are most confident about with [STRONG]. Mark sections you are least confident about with [WEAK]. Tell me what you would change with one more revision." Claude grades its own work. You know exactly where to focus your review. 7 parts. Copy them. Replace the brackets. Paste into Claude. 📌 Save this framework. Use it every time you prompt Claude. ♻️ Repost to help someone get 10x better AI outputs.

BREAKING: AI can now automate workflows like $500/hour consultants (for free). Here are 9 insane Claude Opus 4.6 + Minimax 2.5 prompts that built a $15K/month automation agency in 30 days: (Save this before your competitors do)

Kling AI just cooked humans Kling 3.0 replaced my entire production workflow. No filming. No post-production. One click → full cinematic narrative without touching the camera and VFX Studio setup. More example + workflow: 👇

$500M raised by Elevenlabs This huge funding shows the dedication and a lot of work coming into AI by this company.

ChatGPT just hallucinated counting from 1 to 1,000,000. And everyone's pretending AI is "ready for enterprise." Last night, I ran a simple test: "ChatGPT, count from 1 to 1,000,000." A task any child can complete. 𝗜𝘁 𝗱𝗶𝗱𝗻'𝘁 𝗲𝘃𝗲𝗻 𝘁𝗿𝘆. Instead of counting, it spoke. "1, 2, 3... up to 100,000,000" And acted like the job was done. It didn't count. It didn't attempt the task. It just hallucinated a shortcut and pretended it worked. Here's the uncomfortable truth nobody wants to say: 𝗛𝗮𝗹𝗹𝘂𝗰𝗶𝗻𝗮𝘁𝗶𝗼𝗻𝘀 𝗮𝗿𝗲𝗻'𝘁 𝗳𝗶𝘅𝗲𝗱. 𝗧𝗵𝗲𝘆'𝗿𝗲 𝗷𝘂𝘀𝘁 𝗯𝗲𝘁𝘁𝗲𝗿 𝗵𝗶𝗱𝗱𝗲𝗻. The same AI that companies use for customer support, developers trust with production code, and businesses rely on for data analysis... Can't even count. It just fakes it. And we're calling this "enterprise-ready"? The AI industry has convinced everyone that hallucinations are a "solved problem." They're not. They're just less obvious. Better packaged. But they're still lurking in your: → Automated responses → Generated code → Data insights → Business decisions 𝗧𝗵𝗲 𝗿𝗲𝗮𝗹 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻: If ChatGPT won't even attempt something this simple and just fakes completion... How often is it hallucinating on complex tasks where you CAN'T easily verify the output? CONCLUSION: I'm an AI consultant. I teach prompt engineering. I build businesses around these tools. But I'm not drinking the Kool-Aid. AI is powerful. Revolutionary even. But it's also fundamentally flawed in ways most people don't understand. The hallucination problem isn't solved. It's just marketed better. So before you: ✗ Automate critical workflows ✗ Trust AI with sensitive data ✗ Replace human verification Remember that ChatGPT won't even count to 1,000,000. It'll just pretend it did. 𝗧𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝗯𝗲𝗹𝗼𝗻𝗴𝘀 𝘁𝗼 𝘁𝗵𝗼𝘀𝗲 𝘄𝗵𝗼 𝘂𝘀𝗲 𝗔𝗜 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲𝗶𝗿 𝗲𝘆𝗲𝘀 𝘄𝗶𝗱𝗲 𝗼𝗽𝗲𝗻. Not those who blindly trust it. Comment below if you want me to test the other AI models that pretend. Which one? ♻️ REPOST this and tell people that the AI job hasn't been completed yet. P.S. The remaining part of the video is added in the comment.

This is how we are evolving in AI

This guy literally shows how to clone a $10M app using AI under 30 minutes.

Google literally published a 69-page prompt engineering masterclass ♻️ Repost and Comment "Course" for Instant DM.

We are cooked 🤯 Mirage Just Dropped, which creates ultra-realistic AI Videos, has broken the internet in the last 24 hours. 10 wild examples you won’t believe are real: 1. 100% AI-Generated

I replaced 10,000 developers in just 30 seconds 🤯 And if you don’t keep up, you might be next. I built an AI Headshot Generator App that creates studio-quality portraits in under 10 minutes — no coding, no design skills, just AI. Here’s exactly how I did it: 👇

I tested Blink and Lovable with some brutal prompts The results are so shocking, you won't believe Blink AI Vs Lovable (Video demos are included)

Holy sh** 🤯 AI has just replaced game developers. I created 10 mind-blowing games with Blink, and these could be the $1M Idea for your startup. 10 Examples (Prompts & Link to try below): 1. Tetris Deluxe

🚨 Breaking: Anthropic just released New AI Courses that can replace the $2000 Bootcamp. No payment and certification required. Here are the 6 courses you shouldn't miss in 2025:

Every man’s dream:

As the COO of MEXC, honored to attend the 2025 AI & Blockchain Ideathorn hosted by TokenPost. Incredible insights and networking with top minds in the industry. 👇Follow me & Get more crypto insights

$NIBI on fire 🔥 Waiting for my rewards to drop in my wallet.