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Don't use ChatGPT or Gemini for image generation. They're actually the worst models to use. AI images are becoming indistinguishable. But, you still need to know which model to use. I tested 8 models with the same prompt: "Create an ultra-realistic portrait of a brand-new person: a mid-20s woman with cool olive skin, a jet-black chin-length bob with blunt bangs, and hazel eyes framed by soft winged liner and matte charcoal lipstick. She stands in a dim urban corridor with out-of-focus concrete pillars and faint graffiti, wearing a mustard-and-black striped halter top that catches subtle specular highlights. Use a soft key light from camera left and a faint rim from behind to reveal skin pores, tiny peach fuzz, and individual flyaway hairs, with believable subsurface scattering on cheeks and nose. Compose a chest-up shot at eye level, shallow depth of field, creamy bokeh, and natural color grading with gentle film grain. Captured on a Sony A7R IV with an 85mm f/1.8 lens at f/2, ISO 200, 1/200s. Deliver 8K photorealism with editorial-grade lighting, lifelike textures, and magazine-quality depth." The results (from worst to best): 𝟭. 𝗖𝗵𝗮���𝗚𝗣𝗧 → 7.5/10 Adequate but darker exposure reduces editorial impact. 𝟮. 𝗚𝗼𝗼𝗴𝗹𝗲 𝗚𝗲𝗺𝗶𝗻𝗶 → 7.7/10 Solid editorial quality with correct elements, slightly softer details. 𝟯. 𝗙𝗟𝗨𝗫.𝟭 𝗞𝗼𝗻𝘁𝗲𝘅𝘁 → 7.8/10 Excellent prompt adherence with strong technical execution and convincing textures. 𝟰. 𝗛𝗶𝗴𝗴𝘀𝗳𝗶𝗲𝗹𝗱 → 7.9/10 Competent execution with harder lighting and an ambiguous garment pattern. 𝟱. 𝗜𝗱𝗲𝗼𝗴𝗿𝗮𝗺 → 8.2/10 Good quality but hair colour off and includes unspecified details. 𝟲. 𝗦𝘁𝗮𝗯𝗹𝗲 𝗗𝗶𝗳𝗳𝘂𝘀𝗶𝗼𝗻 → 8.3/10 Good colour palette and corridor atmosphere, but slightly less convincing skin texture. 𝟳. 𝗦𝗲𝗲𝗱𝗿𝗲𝗮𝗺 𝟰.𝟬 → 8.5/10 Clean, professional rendering with good depth and visible skin detail. 𝟴. 𝗠𝗶𝗱𝗷𝗼𝘂𝗿𝗻𝗲𝘆 → 8.8/10 Exceptional photorealism and micro-detail, minor deductions for off-prompt freckles and tight framing. The models everyone defaults to (ChatGPT, Gemini). They consistently underperform... Don't get me wrong. Gemini is top tier for editing images. But for one-shot image generations. Midjourney delivers magazine-quality results. Which model are you still using by default? Save this. Test the prompt yourself. Repost ♻️ for others. P.S. If you liked this, you’ll love charliehills.substack.com I break down real AI content workflows every Sunday.

Mastering ChatGPT Can Create Pure MAGIC.🤖 Knowing GPTs is the ultimate power. ↳ It’s how you unlock hidden potential. ↳ It’s how you turn ideas into gold. But most people use ChatGPT wrong. ❌ They type prompts. They get average. ❌ They don’t realize GPTs = shortcuts. Ruben Hassib made it effortless for you. He turned complexity into a simple system. He showed exactly how to master GPTs. With this system, you can: ✔️ Bring the smartest prompts ever. ✔️ Make workflows fast, smooth, easy. ✔️ Unlock clarity and find direction. Here’s what GPTs unlock for you: 1. Prompt Maker: to generate ChatGPT prompts. 2. Gamma-PPT builder: to build perfect slides. 3. Business Plan maker: to build a business plan. 4. Mission-GPT: to find your mission as a creator. 5. Color Theory: to find your branding colors. 6. ICP-GPT: to find your one audience. 7. Topic-GPT: to expand one topic into many. 8. Calendar-GPT: to build a content calendar. 9. Headline-GPT: to create your LinkedIn headline. How to access all of them: → Click on 'GPTs'> Explore. → Then, type 'Ruben Hassid'. → You'll find all of these GPTs. Old way = guessing, wasting hours daily. New way = GPTs, instant mastery, results. If you want an edge today… Master ChatGPT. Build faster. Create smarter. Make GPTs work for YOU in bringing effective results. Content credit goes to Ruben Hassib. Swipe left for premium value. P.S. Want More AI Tutorials here ➡️ https://lnkd.in/d3xTgDrA

In product management, not everything is straight forward maths, or solvable by AI. Yet, some PMs still make better decisions most of the time. How? That's product sense: "The ability to find the right solution for the user and business, despite limited and ambiguous information." I love this definition from Sid Arora. Give me 5 minutes and I'll explain. You start by looking at the 10-step PM process: 1. Take a vague & ambiguous problem statement 2. Create, or clarify the overall goal 3. Identify all users in ecosystem 4. Pick 1-2 users 5. Identify major problems of the user 6. Select the problems to solve 7. Brainstorm for solutions 8. Select the highest ROI solution 9. Build and deploy the solution 10. Measure success / collect feedback Then note product sense is in steps #2-8. It is explicitly NOT about execution, measurement or communication. It's about 4 tasks: 1. Goal creation You need to be able to take executive direction and negotiate the goals into something that's realistic given user needs, business demands, and your resources. 2. User discovery This is the crucial process of figuring out what pulls on the web of stakeholders you're going to make with this product work. And sometimes, it's a learning loop back. 3. Problem discovery This is the step people like to skip, especially with AI prototyping. But it's important to rigorously understand how users experience their problem today, or iterate. 4. Solution discovery The step that everyone likes to do: finding solutions that solve the product problem while working for the business. It's what people think is product sense. So really, product sense is the wisdom to do all 4 of those well, that's developed after years of PMing. The twist is, this changes for AI. More: https://lnkd.in/ezbB5CES 📈 Are you looking to improve your product sense? 10 resources for you. 4️⃣ articles: Product Sense Interview: https://lnkd.in/eTqEFtPM How to Build AI Right: https://lnkd.in/eDGmsvZ5 How to Build Strategy: https://lnkd.in/e8EUQHAW Training Product Sense: https://lnkd.in/e8AE5m3B 6️⃣ case studies: Miro: https://lnkd.in/gVPg-EAq Figma: https://lnkd.in/eejXM2fp Airbnb: https://lnkd.in/ef6wKEr2 Klarna: https://lnkd.in/edrTbJUZ Cursor: https://lnkd.in/eq8xvCAK Supercell: https://lnkd.in/en2YJBtP 📌 Want my guide to AI product sense? Comment AI product sense + DM me. What's your favorited definition of product sense?

You’re not getting bad AI outputs. You’re just having bad prompts. These 29 actionable AI model prompting techniques fix that instantly. What other new prompting technique would you recommend to add here? Comment below 👇 Follow me for more AI and tech insights  ♻️ Repost to help your network prompt better

2026 is the year of AI ROI - and executive layoffs. Leaders - If you can’t translate AI investment into AI adoption won’t just fall behind. 𝑌𝑜𝑢 𝑤𝑖𝑙𝑙 𝑏𝑒 𝑟𝑒𝑝𝑙𝑎𝑐𝑒𝑑. This is your Red Pill / Blue Pill moment. Take the Red Pill and you’ll: → Drive measurable AI adoption and ROI → Future-proof yourself and your organization → Not just evolve with AI - but shape its transformation Take the Redpill with me Join 𝐀𝐖𝐀𝐑𝐄™: Adoption Without Anxiety - Real Enablement A right-paced AI readiness workshop for leaders. In 90 minutes, you’ll learn to: Module 1 - From Anxiety to Advantage → Cut through the noise and see what GenAI, LLMs, and AI Agents really mean for your business. Module 2 - Take Ownership → Use practical tools and role-specific prompts that save hours and build real workflow adoption. Module 3 - Lead the Change → Manage fear, build trust, and turn AI policy into clear, human-centered action. Walk away with: ✅ Clarity on what drives ROI ✅ Confidence to lead AI conversations ✅ A framework to future-proof your leadership The AI gap isn’t technical. It’s human. Start closing it - Today Raja Sampathi Executive Coach | Change Leadership | AI ROI (70% 𝑜𝑓 𝐿𝑒𝑎𝑑𝑒𝑟𝑠 𝑠𝑎𝑦 𝑡ℎ𝑒𝑦 𝑙𝑎𝑐𝑘 𝑘𝑛𝑜𝑤𝑙𝑒𝑑𝑔𝑒 𝑡𝑜 𝑢𝑠𝑒 𝐴𝐼 𝑒𝑓𝑓𝑒𝑐𝑡𝑖𝑣𝑒𝑙𝑦 - 𝑦𝑜𝑢 𝑤𝑜𝑛’𝑡 𝑏𝑒 𝑜𝑛𝑒 𝑜𝑓 𝑡ℎ𝑒𝑚) Full AWARE™ details & pricing in comments 👇

BREAKING: OpenAI has quietly hired over 100 former Wall Street bankers, including alumni from Goldman Sachs, JPMorganChase, and Morgan Stanley, to help train its AI on building financial models. Codenamed “Project Mercury,” the effort pays contractors $150 an hour to write prompts and create Excel-based models for IPOs, restructurings, and M&A deals. The goal? To teach AI how to replicate, and eventually automate, the tedious modeling and deck-editing work that dominates life for junior analysts. The project reflects Sam Altman’s broader push to make OpenAI’s tech indispensable to businesses, from finance to consulting to law, as the company chases profitability following its $500 billion valuation. Analysts may soon have a new competitor, one that doesn’t need coffee breaks, weekends, or “pls fix” emails.

Meta’s Chief AI Scientist just shared what comes after large language models. Yann LeCun, one of the founding minds of modern AI and a creator of deep learning says he’s no longer interested in LLMs, calling them a dead end for building real intelligence. He’s working on what he calls Advanced Machine Intelligence (AMI), AI that learns by doing, exploring and interacting with the world around it. Here’s what that means: → Machines that understand the physics of how things move and change → Systems that can remember, reason and plan over time → AI that learns from observation and experimentation → Models that make decisions and improve through experience LeCun says a four-year-old can learn more about physics in an afternoon than today’s largest models learn from the entire internet. A child watching a ball roll downhill learns why it moves: cause, motion, gravity. A language model only learns the words that describe it. That’s the kind of grounded learning AMI aims to recreate. It moves AI from recognizing patterns to building understanding, from text-trained systems to world-trained ones. If machines start learning through experience, what new kinds of intelligence will we build next? #ai #deeplearning #innovation #futureofwork #machinelearning

9 Ways GPTs Can Save You 20+ Hours / Week In Your Job Search: 1. What Are GPTs? GPTs are customized workflows you can create and tailor for specific tasks. For example, instead of uploading your resume, uploading the job description, and asking ChatGPT to compare? You can create a GPT where you upload the job description and it follows a specific set of instructions that you create. 2. Using GPTs To Tailor Your Resume You can use GPTs to string together workflows for any part of the job search. The most obvious starting point is using one to tailor your resume for every role you apply to. This is easily the most time consuming thing for job seekers, so let’s use that as the example for this post. 3. Create Your GPT To create your first GPT, head to ChatGPT.com/GPTs and click the “Create” button: Next, choose the “Configure” option on the left hand side. Then name your GPT and provide a description. 4. Add Relevant Files (Like Your Resume) Under the “Knowledge” section, you’ll see the ability to add files: This is where you’ll add files that you want the GPT to reference. In our case, we might upload our resume so the GPT has it on file and you don’t need to upload it every time. 5. Add Your Instructions In the “Instructions” field, you’re going to add the instructions that you want the GPT to follow. These instructions can be a mix of context, step-by-steps, and examples. I personally find that using all three leads to the best results. Let’s take a look at how we might write instructions for each of those categories. 6. Contextual Instructions To start, you want to give the GPT context. For example: “The goal of this GPT is to personalize my resume for a specific job description. When you analyze the job description, I want you to act as an expert resume writer with additional expertise in copywriting, psychology, and the job search. You will use this expertise to generate a new version of my resume that tailors my experience to the role and follows ATS best practices. Here’s how:” 7a. Step-By-Step Instructions Next, you’ll want to share the steps the GPT should take to complete this process: User will share the job description with ChatGPT ChatGPT will analyze the content of the job description to identify key skills, qualifications, and goals for the role. 7b. Step-By-Step Instructions (Cont.) ChatGPT will then analyze my content of my resume from the uploaded file “Filename.pdf.” ChatGPT will write a new version of my resume that tailors my experience to the specific skills, qualifications, keywords, and goals in the job description. ChatGPT will share that new resume version in the chat. For the rest of the steps, check the carousel below. 🧠 Shawn paired our custom AI workflows with 1:1 coaching and scored a manager role in data science with a 68% raise. Want to see how we can fast-track your pivot and help you win roles faster? 👉 Book your free 30-min call to find out: https://lnkd.in/gdysHr-r

Career Advice I Know at 33 I Wish I Knew at 23: 🔖 Save this post to refer back when you need it.  ➕ And follow Ben Meer for more actionable advice. 

We taught machines to think. Then stopped thinking ourselves. AI was meant to extend our thinking. But for many people, it has replaced it. • Marketers use it to fill space, not add meaning. • Leaders ask it to think for them, not with them. • Writers ask AI to decide, not to explore. We call it “working smart.” But often, it is thinking less. The truth is - AI can process, summarize, and generate. But it doesn’t have enough context to have your judgement. That part’s still on you. What separates day-to-day users from 10x users is they use AI to test assumptions. • To spot their biases. • To flip perspectives. • To find the gaps in their logic. They don’t just ask, “What should I write?” They ask, “What am I missing?” Here are a few ways I use AI to clarify my thinking: 1/ Invert My Thinking Prompt: “If I wanted to guarantee failure at [this problem], what would I do?” 2/ An Accountability Partner Prompt: “Here’s my goal: [goal]. Ask me 5 questions that make me uncomfortable but get me to take action.” 3/ The Reasoning Audit Prompt: “Here’s my reasoning: [your reasoning]. Identify any weak logic, mistakes, or missing steps in my argument.” Use these prompts to clean up your writing and thinking. Right now, the real edge isn’t in the tool. It’s in how you think with it. I used AI to scale my personal brand. And I went from 3,000 to >410k followers in 20 months. 📌 Here’s the exact playbook I followed: https://saywhat.ai/course/ ♻️ Repost to help your network think critically with AI. ➕ Follow me (Will McTighe) for more like this.