AI Post — Artificial Intelligence

🔥AI can now build financial models like Goldman Sachs analysts (for free). Here are 5 Claude prompts that replace $150K/year investment banking work: 1/ DCF Valuation Model You are a Senior Analyst at Goldman Sachs. I need a complete DCF (Discounted Cash Flow) valuation model for [COMPANY NAME]. Please provide: - Free cash flow projections: Next 5 years with growth assumptions - WACC calculation: Cost of equity + cost of debt breakdown - Terminal value: Both perpetuity growth and exit multiple methods - Sensitivity analysis: How value changes with different assumptions - Discount rate justification: Why we chose this WACC - Key drivers: What makes cash flow go up or down - Comparable companies: How our assumptions compare to peers - Valuation range: Bull case, base case, bear case scenarios Format as investment banking pitch book valuation page with clear formulas. Company: [DESCRIBE COMPANY, INDUSTRY, FINANCIALS] 2/ Three-Statement Financial Model You are a VP at Morgan Stanley. I need a complete three-statement model for [COMPANY NAME]. Please provide: - Income statement: Revenue, costs, EBITDA, net income (5 years) - Balance sheet: Assets, liabilities, equity (5 years) - Cash flow statement: Operating, investing, financing activities (5 years) - Link formulas: How statements connect (net income → cash flow → balance sheet) - Working capital: How AR, inventory, and AP change - Debt schedule: Principal payments and interest expense - Key assumptions: Revenue growth, margins, capex as % of sales - Error checks: Balance sheet balancing and circular references Format as Excel-style model with formulas explained in plain English. Company: [DESCRIBE BUSINESS, CURRENT FINANCIALS, GROWTH STAGE] 3/ M&A Accretion/Dilution Analysis You are a Managing Director at JP Morgan. I need an accretion/dilution analysis for [ACQUIRER] buying [TARGET]. Please provide: - Deal structure: Cash vs. stock mix and total consideration - Pro forma income statement: Combined company earnings - EPS impact: Accretion or dilution percentage - Synergies: Cost savings and revenue opportunities with dollar amounts - Funding sources: Debt, cash on hand, or equity issuance - Credit impact: How debt/EBITDA ratio changes - Break-even analysis: What synergies needed to be accretive - Sensitivity table: EPS impact at different purchase prices Format as M&A analysis memo with deal recommendations. Deal: [DESCRIBE ACQUIRER, TARGET, DEAL SIZE, RATIONALE] 4/ LBO (Leveraged Buyout) Model You are a Private Equity Associate at KKR. I need a complete LBO model for [COMPANY NAME]. Please provide: - Sources and uses: How deal is funded (debt, equity, fees) - Debt structure: Senior debt, mezzanine, interest rates, covenants - Cash flow sweep: How excess cash pays down debt - Exit scenarios: Strategic sale vs. IPO in year 5 - IRR calculation: Internal rate of return for equity investors - Cash-on-cash multiple: Total proceeds divided by equity invested - Debt paydown schedule: Year-by-year principal reduction - Management assumptions: EBITDA growth and margin improvement Format as private equity investment committee memo with returns analysis. Company: [DESCRIBE COMPANY, EBITDA, ASKING PRICE, INDUSTRY] 5/ Comparable Company Analysis (Comps) You are an Equity Research Analyst at Citi. I need a trading comps analysis for [COMPANY NAME]. Please provide: - Peer group: 10-15 public companies in same industry - Trading multiples: EV/EBITDA, EV/Revenue, P/E for each peer - Financial metrics: Revenue, EBITDA, margins for comparison - Valuation range: 25th percentile, median, 75th percentile multiples - Implied valuation: What our company is worth at each multiple - Adjustments: Why our company deserves premium or discount - Growth comparison: How our growth compares to peers - Quality screen: Which peers are most comparable and why Format as comparable company valuation table with multiples highlighted. Company: [DESCRIBE COMPANY, FINANCIALS, CLOSEST COMPETITORS] @aipost🏴

New restaurant food delivery robots are being used in Kinsley, Kansas to replace the jobs or waitresses Kinsley, Kansas has a population of only 1342 people…. and jobs are being replaced with automation @aipost🏴

⚠️Anthropic accuses Chinese companies of "siphoning" data from Claude, per WSJ. Accusations include: 1. Anthropic says DeepSeek, Moonshot AI, and MiniMax set up fraudulent accounts on Claude 2. These companies prompted Claude more than 16 million times to train and improve their own models 3. Anthropic says more than 24,000 fraudulent accounts were used 4. OpenAI sent a memo to the US House accusing DeepSeek of the same tactics The AI arms race is heating up. @aipost🏴

⚠️ChatGPT aided a woman to murder two men South Korean woman just got charged with MURDERING two men in their 20s after using ChatGPT to plot it all. ChatGPT delivered the complete lethal recipe on demand. She followed it step-by-step spiking drinks with massive benzodiazepine doses plus booze in Seoul motels, killing both men. Source. @aipost🏴

Meta's Director of AI Safety and Alignment gave OpenClaw bot full access to her computer and email. She couldn't stop it from deleting her entire inbox. She's supposed to guardrail Meta's AI and future AGI. Source. @aipost🏴

🗣Simile CEO Joon Sung Park wants to simulate all 8 billion humans. Not just to predict outcomes, but to “trace through the audit logs of how society might unfold.” To inspect the code beneath our collective decisions. @aipost🏴

This is a huge step backwards for OpenAI: OpenAI’s ambitious $500 billion Stargate data center venture with Oracle and SoftBank stalled after internal disagreements and leadership gaps. After missing its 10 GW capacity target for 2025 and raising its projected compute spend from $450 billion to a staggering $665 billion through 2030, OpenAI pivoted to cloud-heavy partnerships instead of owning massive campuses outright. This could be a huge opportunity for the competition to catch up. Source. @aipost🏴

📈Chinese AI labs have moved fast and they’re taking real share. In just a year, nearly half of developer traffic that once went to ChatGPT and Claude is now flowing to Chinese players. Analysts estimate that around 45% of requests are heading toward companies like MiniMax, Zhipu, and Moonshot. The driver isn’t mystery, it’s economics. Chinese models are reportedly 10–20x cheaper than many Western alternatives. And for a large portion of use cases, developers say the performance gap is small enough to justify the switch. It’s a familiar playbook: enter an established category, aggressively optimize for cost, narrow the quality gap, and scale distribution fast. When price-performance becomes “good enough,” market share can move quickly. In AI, as in many industries before it, cost efficiency is becoming a weapon. @aipost🏴

🗣"Sinclair said advances in biotechnology are rapidly improving scientists’ ability to control human biology. He predicted that within the next 10 to 20 years, modern healthcare systems could appear outdated as treatments shift toward preventing and reversing ageing itself. “For many years, we ignored ageing,” Sinclair said, adding that ageing should no longer be accepted as inevitable. “Ageing is a medical condition that is increasingly treatable.” @aipost🏴

🔥MIT offers 12 Books on AI & ML (FREE TO DOWNLOAD): 1. Foundations of Machine Learning https://t.co/1jJ3JiO6nO 2. Understanding Deep Learning https://t.co/D1IlZvwA9l 3. Algorithms for ML https://t.co/Et5WEnCjgE 4. Reinforcement Learning https://t.co/1JYGP1sHsP 5. Introduction to Machine Learning Systems https://t.co/e1J5yHQpp3 6. Deep Learning https://t.co/Im2J7XobNz 7. Distributional Reinforcement Learning https://t.co/M9iYfNILNn 8. Multi Agent Reinforcement Learning https://t.co/stSV649oQj 9. Agents in the Long Game of AI https://t.co/HwFWKW8fM3 10. Fairness and Machine Learning https://t.co/sYzltc6cnc 11. Probabilistic Machine Learning ❯ Part 1 : https://t.co/gXdY5Fc077 ❯ Part 2 : https://t.co/F7QX3MbKMx @aipost🏴

Wild how ChatGPT actually sees the world: - All conservatives = trash and evil - All Democrats = perfect saints - Elon Musk = bad - Trump = bad - Obama = pure good person - America = stolen land - White pride = Evil - Black Pride = Empowerment - The entire world should be woke @aipost🏴

Sam Altman just admitted AI will make most humans economically useless. A single AI company could soon control more wealth than entire governments. The same AI giving them that power is also letting a 2-person startup beat a 500-person company. The weapon is available to everyone, most people just don't know how to pick it up yet. @aipost🏴