forcebwithu Posted June 15, 2025 Posted June 15, 2025 Thought the following two quoted posts would make for a good start on how far AI has come and the many uses of AI. On 6/14/2025 at 7:57 AM, Yessongs said: Sunset off the balcony....wish I could get rid of the power lines once and for all LOL! 21 hours ago, forcebwithu said: Not a once and for all removal, but this is the result from Chat GPT when I asked the AI to remove the power lines. You could use this Photoroom tool for a final touch up by removing the remaining lines and aerial antenna (link). 4
forcebwithu Posted June 15, 2025 Author Posted June 15, 2025 I've found DeepSeek to be even better than Chat GBT for helping with snippets of computer code. One project I'm working on is to determine if a location for an upcoming hash run is close to, or inside a known restricted area. Over the years we've accumulated a number of areas where we've been asked not to set trail through or seek permission before using the area. Each of those areas are defined by a polygon of gps coordinates that I've mapped on Google Earth, exported as an XML file, and then imported into Google Sheets. I then use that data of coordinates as source data for Google Apps Script code. I asked DeepSeek to write the code for me with this prompt "Using google apps script, write code that given a set of gps coordinates defining a boundary can tell if a gps point is outside or inside that boundary". Within seconds DeepSeek came up with code that would have taken me hours to work through how to do. And unlike Chat GBT, the code produced by DeepSeek works out of the box. Without boring you with the actual code produced, here's the comments and reasoning behind the code that DeepSeek produced. /** * Determines if a point is outside a polygon boundary using the ray-casting algorithm. * * @param {Object} point - The point to check {lat: number, lng: number} or [lat, lng] * @param {Array} polygon - Array of polygon vertices as [lat, lng] arrays * @return {boolean} True if the point is outside the polygon, false if inside or on the edge */ How It Works: The function uses the ray-casting algorithm, which draws a horizontal line to the right from the point and counts how many times it intersects with the polygon edges. If the number of intersections is odd, the point is inside the polygon. If even, it's outside. The function also handles edge cases where the point is exactly on a vertex or edge of the polygon (considered inside). Important Notes: The polygon vertices must be ordered either clockwise or counter-clockwise. The first and last points don't need to be the same (the polygon is automatically closed). This works for both simple and complex polygons (including those with holes, as long as the winding order is consistent). Cool stuff and quite the time saver. 3
forcebwithu Posted June 15, 2025 Author Posted June 15, 2025 Now this is amazing AI! https://www.reddit.com/r/aivideo/comments/1l86qii/american_women_answer_extremely_challenging/ 1
forcebwithu Posted June 15, 2025 Author Posted June 15, 2025 2 minutes ago, lazarus said: A lot of opportunity out there for those that embrace AI as a tool. I'm diving into it now for fun and to exercise my brain cells. 1
fygjam Posted June 15, 2025 Posted June 15, 2025 1 hour ago, forcebwithu said: I've found DeepSeek to be even better than Chat GBT for helping with snippets of computer code. One project I'm working on is to determine if a location for an upcoming hash run is close to, or inside a known restricted area. Over the years we've accumulated a number of areas where we've been asked not to set trail through or seek permission before using the area. Each of those areas are defined by a polygon of gps coordinates that I've mapped on Google Earth, exported as an XML file, and then imported into Google Sheets. I then use that data of coordinates as source data for Google Apps Script code. I asked DeepSeek to write the code for me with this prompt "Using google apps script, write code that given a set of gps coordinates defining a boundary can tell if a gps point is outside or inside that boundary". Within seconds DeepSeek came up with code that would have taken me hours to work through how to do. And unlike Chat GBT, the code produced by DeepSeek works out of the box. Without boring you with the actual code produced, here's the comments and reasoning behind the code that DeepSeek produced. /** * Determines if a point is outside a polygon boundary using the ray-casting algorithm. * * @param {Object} point - The point to check {lat: number, lng: number} or [lat, lng] * @param {Array} polygon - Array of polygon vertices as [lat, lng] arrays * @return {boolean} True if the point is outside the polygon, false if inside or on the edge */ How It Works: The function uses the ray-casting algorithm, which draws a horizontal line to the right from the point and counts how many times it intersects with the polygon edges. If the number of intersections is odd, the point is inside the polygon. If even, it's outside. The function also handles edge cases where the point is exactly on a vertex or edge of the polygon (considered inside). Important Notes: The polygon vertices must be ordered either clockwise or counter-clockwise. The first and last points don't need to be the same (the polygon is automatically closed). This works for both simple and complex polygons (including those with holes, as long as the winding order is consistent). Cool stuff and quite the time saver. I always thought that method was one of Thaddeus Vincenty's contributions to the human race. He also has formula for finding ellipsoidal distance and bearing if you're interested. 1
forcebwithu Posted June 15, 2025 Author Posted June 15, 2025 (edited) 4 minutes ago, lazarus said: For all China's faults, they have some smart people there. Edited June 15, 2025 by forcebwithu 2
fygjam Posted June 16, 2025 Posted June 16, 2025 ^^^ Jackson Pollock's "Blue Poles," owned by the National Gallery of Australia, is currently valued at $500 million. This makes it one of the most valuable paintings in the world and an unquestioned masterpiece despite its initial controversy. 1
Zeb Posted June 17, 2025 Posted June 17, 2025 This guy is a Sydney based Brit who trades options & futures and has produced a weekly Youtube commentaty on the markets for almost 15 years. His approach includes identifying professional and amatuer traders by the number of contracts in trading positions and has developed various indicators on the Tradestation platform. https://www.youtube.com/@EminiWatch ................................. I Let ChatGPT Design My Macro Portfolio (And You Might Too) Barry Taylor from Emini-Watch.com Last week, I paid $0 for macro analysis that hedge funds charge $250,000 a year to access. How? I asked ChatGPT to design a portfolio for the next 40 years. What came back was brutal, somewhat brilliant, and more concise than any fund manager report I’ve seen. We covered (almost) everything: why rates can’t normalize, which assets survive financial repression, and the exact ETF or futures trades to execute. This AI even identified the 10x opportunity that most funds are missing. Your move, Ray Dalio. WARNING: 100% AI-Generated Content Ahead Everything below was created by ChatGPT, an AI that’s smarter than your fund manager but has zero liability for your losses. This is NOT investment advice – it’s what happens when you ask a computer to think about money. The AI recommended leveraged positions that could either make you rich or blow up your account. It doesn’t care which. Consult real advisors who have licenses to lose. Then use this to make them earn their fees. Don’t be the idiot who loses their house because “the AI said uranium was going to 10x”. You’ve been warned. [ And this Disclaimer was written by AI too! ] Here’s the complete conversation, the prompts I used, and the ETF and futures portfolio ChatGPT designed. AI Prompt #1: From 1980 to 2020, interest rates in the US and around the world declined steadily. Why? Interest rates didn’t fall continuously from 1980 to 2020, but they did trend dramatically downward over that 40-year period. Here’s why: Starting Point: The Volcker Shock (1979-1982) Fed funds rate peaked at 20% in 1981 10-year Treasury yields hit 15.8% Paul Volcker crushed 1970s inflation with extreme monetary tightening The Great Moderation (1980s-2007) Key drivers of declining rates: Inflation conquered – From 13.5% (1980) to 2-3% target range Globalization – Cheap labor from China/emerging markets = deflationary pressure Technology – Productivity gains kept prices down Demographics – Aging populations save more, spend less Debt accumulation – Higher debt levels made economies more rate-sensitive Financial Crisis Acceleration (2008-2020) Central banks went to zero (ZIRP) Quantitative easing pushed long-term rates down Europe/Japan went negative “Secular stagnation” – structurally lower growth potential The Feedback Loop: Lower rates enabled more debt -> More debt required lower rates -> Central banks couldn’t raise rates without crushing the economy. By 2020, the 10-year Treasury hit 0.5% (pandemic low). The 40-year bond bull market was the defining macro trade of multiple generations. The trend reversed violently in 2021-2022 with inflation’s return, but that’s outside your timeframe. AI Prompt #2: During this “defining macro trade”, what macro assets were the best and worst to hold? The Winners (1980-2020): 1. Long-Duration Bonds – The purest play 30-year Treasury total return: ~11% annualized Starting yield 10%+ -> ending yield <2% Price gains + coupon = generational wealth creator 2. US Equities (especially growth/tech) S&P 500: ~11.5% annualized NASDAQ (1985-2020): ~12.5% annualized Lower rates = higher multiples, especially for long-duration growth 3. Real Estate REITs: ~12% annualized Direct property ownership leveraged at 70-80% LTV printed money Cap rates compressed from 10%+ to 4-6% 4. Private Equity Top quartile funds: 15-20% net IRRs Cheap leverage + multiple expansion = the golden age AI-BARRY PODCAST: Death of the 60/40 Portfolio and the Next 40-Year Macro Trade Article too long? Let AI-Barry explain why your portfolio is dying and what to own for the next 40 years. Yes, that’s an AI voice reading an AI-generated global macro strategy – the future is now, deal with it. https://emini-watch.com/wp-content/uploads/2025/06/ai-macro-portfolio-14Jun25.mp3 The Losers: 1. Cash – Death by a thousand cuts Average yield fell from 10%+ to 0% Lost ~2-3% annually to inflation Opportunity cost: catastrophic 2. Commodities Gold: Only ~5% annualized (saved by 2000s bull run) Oil: Negative real returns Agricultural: Crushed by technology/productivity 3. Japanese Assets (1990-2020) Nikkei: -50% from peak, still not recovered JGBs: Positive but minimal returns despite ZIRP 4. Value Stocks Massively underperformed growth Banks/utilities/industrials left behind The Leverage Multiplier: Any leveraged long position (real estate, PE, levered equities) crushed unlevered positions. The cost of capital collapse was THE trade. The hard truth is that if you held cash or “stayed defensive” waiting for rates to normalize, you got destroyed. The Fed put was real, and fighting it was financial suicide. AI Prompt #3: The defining feature of current developed economies is that governments and individuals have built up extreme debt. Does this mean that interest rates will never rise to the levels seen in 1980? What other macro overlay will define the next 40 years? You’re right – we can’t go back to 1980s rates. The math doesn’t work. The Debt Trap Reality: US debt/GDP: 50% (1980) -> 130% (2024) Corporate debt: $3T -> $13T Household debt: $1.4T -> $17T At 10% rates, US interest expense alone = 50% of tax revenue Rate ceiling is probably 5-7% before something breaks. We saw this in 2022-2023: UK pension crisis at 4.5% gilt yields Regional bank failures at 5% Fed funds Commercial real estate implosion beginning The Next 40-Year Overlay: Financial Repression 2.0 1. Negative Real Rates Forever Inflation allowed to run at 3-4% Nominal rates kept at 2-3% Stealth debt debasement: -1-2% real yields 2. Yield Curve Control (YCC) Japan model goes global Central banks cap long-term rates Financial markets become policy tools, not price discovery 3. Currency Debasement Race All developed markets debase together Real assets (property, commodities, Bitcoin) become monetary refuges Wealth inequality explodes further 4. Geopolitical Fragmentation Dollar hegemony challenged Multiple currency/trading blocs Higher structural inflation from deglobalization 5. Demographics Doom Loop Aging populations = more entitlements Fewer workers = higher wages = inflation Immigration becomes economic necessity The Trade for Next 40 Years: Long: Real assets, emerging markets, commodity producers Short: Currency, bonds at par, pension promises Variable: Equities (winners/losers diverge massively) Bottom Line: We’re Japan with worse demographics and no social cohesion. Rates can spike temporarily (like 2022), but the debt math forces them back down. The next crisis won’t be inflation – it’ll be currency/sovereign debt confidence. Prepare for financial repression, not rate normalization. AI Prompt #4: Under this scenario, what macro asset classes will outperform? What asset classes should I hold long and short? Core Longs (Leverage These): 1. Residential Real Estate – 70-80% LTV Governments will protect this at all costs (votes) Fixed-rate mortgages = free inflation hedge Supply constrained in tier-1 cities Target: 15-20% IRR with leverage 2. Commodity Producers – 1.5-2x leveraged ETFs Energy (XOM, CVX) not just oil futures Copper/Lithium miners for electrification Fertilizer (NTR, MOS) – food inflation inevitable Own the equity, not the commodity 3. Emerging Market Local Currency Debt – 2-3x via swaps Brazil, Mexico, India 8-12% yields while USD debases EM central banks can actually raise rates Tactical Longs (No Leverage): 1. Bitcoin – Unlevered only Sovereign/currency crisis hedge Digital gold thesis plays out 5-10% portfolio max 2. Infrastructure/Utilities Government-guaranteed returns Inflation pass-throughs built in Boring = beautiful in chaos 3. Defense Contractors Geopolitical fragmentation = spending boom LMT, RTX, NOC print regardless Core Shorts (Use Options/Structured Products): 1. Long-Duration Sovereign Bonds German Bunds, JGBs, USTs >10yr Asymmetric risk/reward at these yields Use put spreads, not outright shorts 2. European Banks Negative rates killed their model Deutsche, Credit Suisse analogs Demographic/regulatory death spiral 3. Traditional Retail REITs Structural decline + leverage = death Malls, office (excluding prime/converted) Currency Pairs: Long: NOK, AUD, CAD (commodity currencies) Short: EUR, JPY (demographic disasters) Use 3-5x forex leverage max The Barbell Structure: 40% Real assets (leveraged) 30% EM/Commodity equity 20% Cash-flowing defensive 10% Convex hedges (puts, bitcoin) Critical Execution Rules: Never leverage rates-sensitive assets Roll fixed-rate debt eternally – never pay it off Own cash flow, not promises Geographic diversification mandatory What Dies: 60/40 portfolios Investment-grade bonds European equities Pension funds (short pension-heavy cos) The Uncomfortable Truth: You’re not investing anymore – you’re front-running policy. The best trade isn’t finding value; it’s positioning where governments MUST inject liquidity. Act accordingly. AI Prompt #5: For the above recommendations, tell me the exact ETF or leveraged ETF to hold. LEVERAGED LONGS: Real Estate XLRE – Real Estate Select Sector (1x base) URE – ProShares Ultra Real Estate (2x) DRN – Direxion Daily Real Estate Bull 3x Commodity Producers XLE – Energy Select Sector (1x base) ERX – Direxion Daily Energy Bull 2x GUSH – Direxion Daily S&P Oil & Gas 2x NUGT – Direxion Daily Gold Miners 2x COPX – Global X Copper Miners Emerging Markets EEM – iShares MSCI Emerging Markets (1x base) EDC – Direxion Daily Emerging Markets Bull 3x EMLC – VanEck EM Local Currency Bond UNLEVERAGED LONGS: Bitcoin BITO – ProShares Bitcoin Strategy GBTC – Grayscale Bitcoin Trust Or just buy actual Bitcoin Infrastructure/Utilities IGLB – iShares Global Infrastructure XLU – Utilities Select Sector TOLL – Direxion Global Infrastructure Defense ITA – iShares US Aerospace & Defense PPA – Invesco Aerospace & Defense SHORT POSITIONS: Long-Duration Bonds TBT – ProShares UltraShort 20+ Year Treasury (2x inverse) TTT – ProShares UltraPro Short 20+ Year (3x inverse) TBF – ProShares Short 20+ Year Treasury (1x inverse) European Banks EUFN – iShares MSCI Europe Financials (short this) EPV – ProShares UltraShort FTSE Europe (2x inverse) Retail REITs SRS – ProShares UltraShort Real Estate (2x inverse) Or short SPG, MAC, SKT directly CURRENCY PLAYS: UUP – Dollar Bull (short this for dollar weakness) FXA – Australian Dollar Trust (long) FXC – Canadian Dollar Trust (long) FXE – Euro Trust (short) FXY – Japanese Yen Trust (short) Portfolio Construction: 40% URE/DRN + owned real estate 20% ERX/GUSH/COPX 15% EDC/EMLC 10% IGLB/ITA/XLU 10% TBT/TTT 5% Bitcoin Warning: Leveraged ETFs decay over time due to daily rebalancing. Use them for 3-12 month trades, not buy-and-hold. For core positions, use 1x ETFs with margin or options for leverage. The play is to own things governments can’t print. Short things they must debase. Use their leverage against them. AI Prompt #6: Which asset class or ETF play has the greatest upside potential? Greatest Upside Potential: Uranium Here’s why uranium crushes everything else: Supply/Demand Violence: 200M lbs demand vs 140M lbs production 60M lb structural deficit No substitutes, reactors MUST buy Price Dynamics: Spot: $100/lb (was $20 in 2020) Utilities need $150+ to incentivize new supply Last cycle hit $140 (2007) The Kicker: China building 150 reactors, US/Europe reversing nuclear policy, data centers need baseload power for AI The Plays: URNM – Sprott Uranium Miners ETF (1x) URA – Global X Uranium ETF (1x) CCJ – Cameco (largest producer) SRUUF – Sprott Physical Uranium Trust (owns physical) Asymmetric Risk/Reward Ranking: Uranium – 5-10x potential over 5 years Bitcoin miners – 3-5x if BTC hits $200k EM local currency debt – 3x with carry Turkish/Brazilian equities – 3-4x US residential real estate (leveraged) – 2-3x The Contrarian Take: Everyone’s worried about rates/recession. Nobody’s positioned for an energy supercycle driven by: AI power demand (each ChatGPT query = 10x Google search energy) Electrification mandates Deglobalization (energy security) Maximum Violence Portfolio: 30% URNM 20% MARA/RIOT 20% ERX 20% EDC 10% TBT Reality Check: Leveraged ETFs are weapons, not investments. If you can’t handle 50% drawdowns, stick to the barbell approach I outlined earlier. This either makes you rich or you blow up spectacularly. No middle ground. AI Prompt #7: For the above recommendations, tell me the exact futures market trades to make. LONG POSITIONS: Energy/Commodities (Instead of XLE, ERX, GUSH): CL – WTI Crude Oil: $10/barrel move = $10,000 per contract NG – Natural Gas: $0.10 move = $1,000 per contract RB – RBOB Gasoline: $0.01 move = $420 per contract Position size: 2-3x your normal futures allocation (matching leveraged ETF exposure) Precious Metals (Instead of NUGT): GC – Gold: $10/oz move = $1,000 per contract SI – Silver: $0.50/oz move = $2,500 per contract Use 2:1 ratio (2 gold to 1 silver) Industrial Metals (Instead of COPX): HG – Copper: $0.05/lb move = $1,250 per contract This is pure copper exposure vs mining equity beta Emerging Markets (Instead of EEM, EDC): EMD – MSCI Emerging Markets Mini: $5/point move = $250 per contract More liquid than full-size EM futures Match 3x ETF exposure with position sizing Bitcoin (Instead of BITU, miners): BTC – CME Bitcoin Futures: $5/point = $25 per point move MBT – Micro Bitcoin: $5/point = $5 per point move Use MBT for precision sizing SHORT POSITIONS: Bonds (Instead of TBT, TTT): ZN – 10-Year Treasury Note: SHORT 2-3 contracts per $100k ZB – 30-Year Treasury Bond: SHORT 1-2 contracts per $100k ZT – 2-Year Treasury Note: LONG as spread hedge Classic steepener: Long ZT, Short ZB Currencies (Direct plays): LONGS: 6A – Australian Dollar: $100k AUD per contract 6C – Canadian Dollar: $100k CAD per contract 6N – NZ Dollar: $100k NZD per contract SHORTS: 6E – Euro: $125k EUR per contract 6J – Japanese Yen: ¥12.5M per contract DX – Dollar Index: SHORT for broad USD weakness FUTURES-ONLY MACRO PORTFOLIO: Core Positions (40% margin): LONG 2 CL (crude oil) LONG 1 GC (gold) LONG 1 HG (copper) LONG 2 MBT (micro Bitcoin) SHORT 2 ZN (10-year Treasury) Satellite Trades (20% margin): LONG 1 6A (Aussie dollar) SHORT 1 6E (Euro) LONG 3 EMD (emerging markets) Spread Trades (Lower Risk): Calendar spreads on CL (long far month, short near) Intermarket: Long HG/Short GC ratio Crack spread: Long 3 RB + HO, Short 2 CL CRITICAL EXECUTION NOTES: Margin Management: Initial margin: ~$5-15k per contract Keep 50% excess margin for volatility Never exceed 40% margin utilization Roll Strategy: Roll 2 weeks before expiry Use calendar spreads to reduce cost Never hold into delivery month The Uranium Problem: No direct uranium futures exist. Your options: Trade uranium miners via equity futures (ES/NQ exposure) Use UX spot market (requires special broker) Stick with URNM/CCJ in equity account Maximum Leverage Setup: 30% Crude oil (3 CL) 20% Precious metals (2 GC, 1 SI) 20% Bitcoin (4 MBT) 20% Bond shorts (3 ZN short) 10% FX plays Warning: Futures give you 10-20x leverage built-in. One CL contract controls $70,000 of oil with $7,000 margin. This is a double-edged sword. Size accordingly or you’ll blow up. Most of these futures markets trade 23 hours a day. No ETF decay. No management fees. Pure, direct exposure. But also no forgiveness for bad risk management. The Brutal Truth AI is your new macro analyst. No ego. No biases. No need to justify last quarter’s bad calls. Just cold, hard analysis of debt dynamics, currency debasement, and the trades that matter. While your financial advisor is still explaining why bonds are “safe”, AI just mapped out why uranium could 10x and residential real estate with leverage beats everything. The game has changed. The gatekeepers are dead. And if you’re still paying someone to tell you to “stay diversified” while they collect management fees on your melting purchasing power, you deserve what’s coming. The future belongs to those who adapt – your move. https://emini-watch.com/global-macro/ai-macro-portfolio/?utm_source=Emini-Watch+Email+Subscribers&utm_campaign=02f250b726-EMAIL_CAMPAIGN_2025_06_14_09_33&utm_medium=email&utm_term=0_-02f250b726-73845237 About the Author Barry Taylor is a full-time trader, founder of Emini-Watch.com and developer of the ‘Better’ Trading Indicators. The ‘Better’ Indicators are a unique set of 3 non-correlated indicators that will give you an edge, whether you’re a day trader, swing trader or investor. With over 14 years of full-time trading and traveling, Barry splits his time between Byron Bay, Biarritz and Kauai. 1
john luke Posted June 18, 2025 Posted June 18, 2025 Lightroom and Photoshop have had recent updates. The above backgrounds all created without any creativity on my part. Initial images were taken at the Terminal 21 Car on Light Event.
Toy Boy Posted June 18, 2025 Posted June 18, 2025 I've got an old movie from the 1980's (Gene Hackman's version of 'Misunderstood'), but there are no subtitles available anywhere that I've been able to find. Transcribing the film's English audio track and then converting it into a time-stamped SubRip (.srt) file would be a perfect job for AI, it's a really horrible, fiddly, tedious task to try and do manually. There are indeed plenty of tools out there that offer to do this for a (not insubstantial) fee, but nothing that's free as far as I can see. Does anyone have any experience of creating SubRip files directly from an audio track via AI, or know of a free tool that will do so for you?
forcebwithu Posted June 18, 2025 Author Posted June 18, 2025 3 minutes ago, Toy Boy said: I've got an old movie from the 1980's (Gene Hackman's version of 'Misunderstood'), but there are no subtitles available anywhere that I've been able to find. Transcribing the film's English audio track and then converting it into a time-stamped SubRip (.srt) file would be a perfect job for AI, it's a really horrible, fiddly, tedious task to try and do manually. There are indeed plenty of tools out there that offer to do this for a (not insubstantial) fee, but nothing that's free as far as I can see. Does anyone have any experience of creating SubRip files directly from an audio track via AI, or know of a free tool that will do so for you? A great question to ask ChatGPT. Is there an AI that can create a SubRip (.srt) file directly from an audio track? ChatGPT said: Yes, there are AI tools that can create SubRip (.srt) subtitle files directly from an audio track. These tools use automatic speech recognition (ASR) and often include speaker diarization, timestamp alignment, and optional translation. Here are some reliable options: 🔹 1. Whisper by OpenAI (Open-source, highly accurate) Type: Local or cloud-based (via command line or GUI wrappers) Input: Audio file (.mp3, .wav, etc.) Output: Can directly generate .srt, .vtt, and .txt files Pros: High accuracy, supports multiple languages Cons: Needs setup (unless using GUI tools) How to use: bash CopyEdit whisper your_audio.mp3 --model medium --output_format srt GitHub repo 🔹 2. Whisper Web GUIs / Wrappers If you want to avoid code: Whisper.cpp (lightweight C++ version) Whisper Web UI – Run in browser or locally with GUI 🔹 3. Subtitle Edit (Windows GUI with AI support) Free software with Whisper AI and Google STT support Can generate and edit .srt files Includes auto-alignment and translation tools Download Subtitle Edit 🔹 4. Online Tools (No install required) a. Veed.io Upload audio → Auto-transcribe → Export .srt Freemium (limits on length/export) b. Happy Scribe More professional-grade; higher accuracy Charges per minute after free trial c. Kapwing Quick online subtitle generation with .srt export Summary Table Tool Accuracy Free SRT Export Local/Online Whisper (CLI) ✅✅✅ ✅ ✅ Local Subtitle Edit ✅✅ ✅ ✅ Local Veed.io ✅✅ Limited ✅ Online Happy Scribe ✅✅✅ ❌ ✅ Online Would you like step-by-step help setting up Whisper locally or using one of these online tools? 1 1
ChatGPT said: Yes, there are AI tools that can create SubRip (.srt) subtitle files directly from an audio track. These tools use automatic speech recognition (ASR) and often include speaker diarization, timestamp alignment, and optional translation. Here are some reliable options: 🔹 1. Whisper by OpenAI (Open-source, highly accurate) Type: Local or cloud-based (via command line or GUI wrappers) Input: Audio file (.mp3, .wav, etc.) Output: Can directly generate .srt, .vtt, and .txt files Pros: High accuracy, supports multiple languages Cons: Needs setup (unless using GUI tools) How to use: bash CopyEdit whisper your_audio.mp3 --model medium --output_format srt GitHub repo 🔹 2. Whisper Web GUIs / Wrappers If you want to avoid code: Whisper.cpp (lightweight C++ version) Whisper Web UI – Run in browser or locally with GUI 🔹 3. Subtitle Edit (Windows GUI with AI support) Free software with Whisper AI and Google STT support Can generate and edit .srt files Includes auto-alignment and translation tools Download Subtitle Edit 🔹 4. Online Tools (No install required) a. Veed.io Upload audio → Auto-transcribe → Export .srt Freemium (limits on length/export) b. Happy Scribe More professional-grade; higher accuracy Charges per minute after free trial c. Kapwing Quick online subtitle generation with .srt export Summary Table Tool Accuracy Free SRT Export Local/Online Whisper (CLI) ✅✅✅ ✅ ✅ Local Subtitle Edit ✅✅ ✅ ✅ Local Veed.io ✅✅ Limited ✅ Online Happy Scribe ✅✅✅ ❌ ✅ Online Would you like step-by-step help setting up Whisper locally or using one of these online tools?
forcebwithu Posted June 18, 2025 Author Posted June 18, 2025 I asked ChatGPT a follow up question. Which of the AI tools are free? ChatGPT said: Here's a breakdown of AI tools that are free (or have free versions) for generating .srt subtitle files from audio: ✅ Completely Free Tools 🔹 1. [Whisper by OpenAI (CLI version)] Cost: Free and open-source What you need: Python installed + command line usage Pros: Very accurate, supports .srt directly, multilingual How to use: bash CopyEdit whisper audio.mp3 --model medium --output_format srt Download: GitHub – openai/whisper 🔹 2. Whisper.cpp (Fast local version) Cost: Free and open-source What you need: Compiled binary or run with Docker Pros: Lighter, faster on CPU than Whisper Python GUI: Optional GUIs available (like whisper-webui) Download: GitHub – ggerganov/whisper.cpp 🔹 3. [Subtitle Edit (Windows only)] Cost: 100% free Functionality: Uses Whisper or Google Speech API GUI for editing subtitles Exports .srt, .vtt, etc. Download: https://www.nikse.dk/subtitleedit 🟡 Free With Limits (Freemium Tools) 🔹 4. Veed.io Free Tier: Limited video/audio length, watermarks may apply Export: .srt, .txt, embedded subtitles Usage: Upload audio → Auto-subtitle → Export 🔹 5. Kapwing Free Tier: Limited exports per month, file duration limits Export: .srt, hardcoded subtitles Usage: Very easy via browser ❌ Paid Tools Only (or Trial-limited) 🔹 6. Happy Scribe / Sonix / Trint Free trial only (5–10 minutes) After that: Pay-per-minute Professional use: Great for teams, high-quality outputs Summary Table Tool Cost SRT Export Notes Whisper (CLI) ✅ Free ✅ Best for accuracy, CLI-based Whisper.cpp ✅ Free ✅ Lightweight, fast Subtitle Edit ✅ Free ✅ Windows GUI, powerful editing Veed.io ⚠️ Freemium ✅ Browser, limited exports Kapwing ⚠️ Freemium ✅ Easy, some limitations Happy Scribe ❌ Paid ✅ Free trial only If you prefer something completely free and offline, go with: Whisper CLI (OpenAI) or Subtitle Edit with Whisper model Would you like a quick guide for setting up Whisper or using Subtitle Edit with Whisper? 1 1
ChatGPT said: Here's a breakdown of AI tools that are free (or have free versions) for generating .srt subtitle files from audio: ✅ Completely Free Tools 🔹 1. [Whisper by OpenAI (CLI version)] Cost: Free and open-source What you need: Python installed + command line usage Pros: Very accurate, supports .srt directly, multilingual How to use: bash CopyEdit whisper audio.mp3 --model medium --output_format srt Download: GitHub – openai/whisper 🔹 2. Whisper.cpp (Fast local version) Cost: Free and open-source What you need: Compiled binary or run with Docker Pros: Lighter, faster on CPU than Whisper Python GUI: Optional GUIs available (like whisper-webui) Download: GitHub – ggerganov/whisper.cpp 🔹 3. [Subtitle Edit (Windows only)] Cost: 100% free Functionality: Uses Whisper or Google Speech API GUI for editing subtitles Exports .srt, .vtt, etc. Download: https://www.nikse.dk/subtitleedit 🟡 Free With Limits (Freemium Tools) 🔹 4. Veed.io Free Tier: Limited video/audio length, watermarks may apply Export: .srt, .txt, embedded subtitles Usage: Upload audio → Auto-subtitle → Export 🔹 5. Kapwing Free Tier: Limited exports per month, file duration limits Export: .srt, hardcoded subtitles Usage: Very easy via browser ❌ Paid Tools Only (or Trial-limited) 🔹 6. Happy Scribe / Sonix / Trint Free trial only (5–10 minutes) After that: Pay-per-minute Professional use: Great for teams, high-quality outputs Summary Table Tool Cost SRT Export Notes Whisper (CLI) ✅ Free ✅ Best for accuracy, CLI-based Whisper.cpp ✅ Free ✅ Lightweight, fast Subtitle Edit ✅ Free ✅ Windows GUI, powerful editing Veed.io ⚠️ Freemium ✅ Browser, limited exports Kapwing ⚠️ Freemium ✅ Easy, some limitations Happy Scribe ❌ Paid ✅ Free trial only If you prefer something completely free and offline, go with: Whisper CLI (OpenAI) or Subtitle Edit with Whisper model Would you like a quick guide for setting up Whisper or using Subtitle Edit with Whisper?
lazarus Posted June 18, 2025 Posted June 18, 2025 (edited) Sure... lots of AI girly pics. Some of them titillating mild SFW, some of them for advertising, most of it NSFW porn (including: illegal deep fakes, revenge porn & kitty porn 😻). Scroll down for a brief literature review. . . . . . . The Present and Future of Adult Entertainment: A Content Analysis of AI-Generated Pornography Websites https://pubmed.ncbi.nlm.nih.gov/40032709/ "Fueled by advances in artificial intelligence (AI), the adult entertainment industry is undergoing a significant transformation. AI-generated pornography-or AI porn-is reshaping how people create and consume sexually explicit content, progressively offering rapid, mass access to large quantities of interactive and highly customizable experiences. ...Carrying significant social and ethical implications, these findings point to a gradual evolution toward an AI-driven porn landscape where individuals can create and interact with sexual content tailored to their preferences and fantasies..." . . . Generative AI pornography https://en.wikipedia.org/wiki/Generative_AI_pornography "Generative AI pornography or simply AI pornography is a digitally created pornography produced through generative artificial intelligence (AI) technologies. Unlike traditional pornography, which involves real actors and cameras, this content is synthesized entirely by AI algorithms. These algorithms, including Generative adversarial network (GANs) and text-to-image models, generate lifelike images, videos, or animations from textual descriptions or datasets..." . . . Best AI Porn Sites of 2025 What was once the realm of speculative fiction is now a tangible, rapidly evolving industry. What does that mean for the future of intimacy? https://chicagoreader.com/adult/ai-porn-sites/ "...Rather than replacing human connection, AI generated intimacy has the potential to complement it, serving as a tool for self-discovery, social confidence, and personal well-being. By engaging with these technologies responsibly and thoughtfully, we can harness their benefits without losing sight of the irreplaceable depth of real human relationships. As technology continues to evolve, so too must our conversations around its responsible use. This article will explore the complex landscape of AI generators and the adult content they produce, its potential as a harmless escape, its dangers as a slippery slope, and the ethical quagmire it presents..." . . . Porn and AI Are the Real Sex Educators https://www.psychologytoday.com/us/blog/the-future-of-intimacy/202506/porn-and-ai-are-the-real-sex-educators "...The average age of first exposure to pornography is now 12, with 15% of kids seeing it before age 10. According to a 2022 Common Sense Media survey, more than half of kids reported seeing adult content accidentally—often by clicking on a link they didn’t realize would lead to porn. Unintentional exposure to pornography seems to be a common experience for teens, as 63% of those who said they have seen pornography only accidentally reported that they had been exposed to pornography in the past week. By age 17, three out of four teens have viewed pornography, 41% have seen it during the school day, and 45% felt that online pornography gave helpful information about sex..." . . . AI and the future of sex The rise of AI porn could change our expectations of relationships. https://www.technologyreview.com/2024/08/26/1096526/ai-sex-relationships-porn/ "...Anti-porn crusades have been at the heart of the US culture wars for generations, but by the start of the 2000s, the issue had lost its hold. Smartphones made porn too easy to spread and hard to muzzle. Porn became a politically sticky issue, too entangled with free speech and evolving tech. An uneasy truce was made: As long as the imagery was created by consenting adults and stayed on the other side of paywalls and age verification systems, it was to be left alone. But today, as AI porn infiltrates dinner tables, PTA meetings, and courtrooms, that truce may not endure much longer. The issue is already making its way back into the national discourse; Project 2025, the Heritage Foundation–backed policy plan for a future Republican administration, proposes the criminalization of porn and the arrest of its creators... ...The rise of AI-generated porn may be a symptom of a new synthetic sexuality, not the cause. In the near future, we may find this porn arousing because of its artificiality, not in spite of it." . . . SF shuts down 10 of the world's most-visited websites using AI to generate explicit content https://abc7news.com/post/deepfake-porn-san-francisco-shuts-down-10-worlds-most-visited-websites-using-ai-generate-explicit-content/16638231/ "...San Francisco is known as the AI capital of the world and now the city's attorney wants to make sure this home is protecting adults and minors against AI generated deepfake images used for explicit purposes. "The investigation and this work has brought into the darkest corners of the internet we are talking about the use of artificial intelligence to generative non-consensual pornography," said Chiu. In the lawsuit, City Attorney Chiu goes after 16 website owners and operators who he says violate state and federal laws prohibiting deepfake pornography, revenge pornography, and child pornography. 10 of those sites are now gone..." Edited June 18, 2025 by lazarus .... 1
Toy Boy Posted June 19, 2025 Posted June 19, 2025 @forcebwithu, thanks! I'd already looked at some of those sites and the ones I tried all had limitations that would mean paying to extract the subs from a full movie. I'd never heard of Whisper, though, and as Subtitle Edit is my default editing tool and I know it well that app with Whisper sounds perfect. I followed the Google AI instructions, accepting the suggested defaults along the way. In what must be about the final step you have to select the Whisper model: I tried to download three of them but all it does is to DL a 1 KB bin file to a Whisper subfolder in the Subtitle Edit app. When I try opening that with Subtitle Edit it tells me I need a username and password which I don't have. However, Google AI tells me that I don't need these, while the app itself says that I do, which leaves me at a bit of an impasse! lol 1 1 1
Toy Boy Posted June 19, 2025 Posted June 19, 2025 I realised that my version of Subtitle Edit might be out of date I downloaded the latest version and that one installs the models with no issues. It did fling up an exception, though, which means zilch to me. I tried two different models and they both crashed during post-processing, saying that I already have an exception set. WTF??? So I edited the log and removed the exception which is apparently added by the program to the Whisper command line. I then tried yet another model and it seemed to work, at least it didn't throw up any errors and this is what it's doing right now.... "Time remaining 900 minutes".... I thought AI was supposed to do difficult stuff quickly and painlessly, I could manually transcribe a fair chunk of the audio in 15 hours. I'm also thinking that this process is just going to lead to a non-time-stamped transcription, when easily the most difficult part of creating subtitles is getting the timings correct. 2
forcebwithu Posted June 19, 2025 Author Posted June 19, 2025 44 minutes ago, Toy Boy said: I realised that my version of Subtitle Edit might be out of date I downloaded the latest version and that one installs the models with no issues. It did fling up an exception, though, which means zilch to me. I tried two different models and they both crashed during post-processing, saying that I already have an exception set. WTF??? So I edited the log and removed the exception which is apparently added by the program to the Whisper command line. I then tried yet another model and it seemed to work, at least it didn't throw up any errors and this is what it's doing right now.... "Time remaining 900 minutes".... I thought AI was supposed to do difficult stuff quickly and painlessly, I could manually transcribe a fair chunk of the audio in 15 hours. I'm also thinking that this process is just going to lead to a non-time-stamped transcription, when easily the most difficult part of creating subtitles is getting the timings correct. Is there an option to select a small, sample portion for the subtitle generation? You could then check to see if it works before enduring a 900 hour run. 1
Toy Boy Posted June 20, 2025 Posted June 20, 2025 16 hours ago, forcebwithu said: Is there an option to select a small, sample portion for the subtitle generation? You could then check to see if it works before enduring a 900 hour run. I wasn't going to leave it running overnight so I pressed the cancel button and it allows you to save what has been done so far. It is indeed adding the time stamps, but in 90 minutes on my PC (quite a powerful one as I do a lot of video editing and other CPU-intensive tasks) it had managed to transcribe just 29 lines covering the first 4 1/2 minutes or so of the film. I've now fired it up again and restarted the process, the question is will it have begun again at the beginning or is it smart enough to realise that it's already done some work and simply continue from where it left off? I'm hopeful it will be the latter as everything else seems to have worked OK and the subs look like they're good quality. Whatever, it's an interesting experiment and I'm enjoying it as I'm a nerd about this stuff, I've been messing with subtitles for almost two decades. If it works it could be a boon. For example, I'm a fan of the British TV series "Coast". Years ago, I spent a lot of time editing and appending various SubRip files to fit the version of the three "Coast Australia" series that I had, and that worked great in the end. I've also got "Coast New Zealand" but no subs. This might allow me to extract subtitles for the series from the video files, I'm hoping so, anyway. 1 1
forcebwithu Posted June 20, 2025 Author Posted June 20, 2025 ^^^ That gave me another idea for a question for Chat GPT. What desktop computer systems are optimized for hosting AI apps? When choosing a desktop computer system optimized for hosting AI apps—especially local AI models, inference tasks, or development—you’ll want to focus on systems that emphasize GPU performance, RAM, and storage speed. Here are the top options and recommendations: 🧠 Key Specs for AI Hosting Component Recommendation GPU (most important) NVIDIA RTX 4090 / 4080 / 3090 (or A100, H100 for extreme use); CUDA support is key CPU AMD Ryzen 9 7950X / Intel i9-13900K or better RAM 64 GB minimum (128 GB preferred for large models) Storage NVMe SSD (1 TB or more) for fast data access Cooling Strong cooling system (air or liquid) for sustained high loads PSU 850W+ to support high-end GPU and CPU 💻 Best Prebuilt AI Workstation Desktops (2024–2025) 1. Lambda Tensor Workstation Target: AI researchers, ML engineers Specs: Up to 4x NVIDIA RTX or A-series GPUs OS: Ubuntu pre-installed and pre-configured with deep learning libraries Why: Specifically designed for AI training/inference workloads 2. Puget Systems Workstations Target: Customizable professional AI setups Specs: Pick your own high-end NVIDIA GPUs, AMD/Intel CPUs Why: Highly customizable, built-to-order, great support 3. BOXX APEXX Systems Target: AI, VFX, and engineering professionals Specs: Powerful CPU and up to 3 GPUs Why: Used in high-end creative and AI environments 4. HP Z by HP Workstations (Z8 G5, Z6) Target: Enterprise AI and data science Specs: ECC RAM, Xeon CPUs, NVIDIA RTX / A-series Why: Stable, ISV-certified, often used in corporate settings 🛠️ Custom-Built AI Desktop (DIY) If you're technically inclined, building your own system is cost-effective and more flexible: Example Build (AI Inference): CPU: AMD Ryzen 9 7950X or Intel Core i9-14900K GPU: NVIDIA RTX 4090 (24 GB VRAM is great for large models like LLaMA, SDXL) RAM: 128 GB DDR5 Storage: 2 TB NVMe Gen 4 SSD OS: Ubuntu 22.04 LTS or Windows with WSL2 + Docker This is excellent for running large language models locally (e.g., LLaMA 3, Mistral, or even fine-tuned GPT-J), Stable Diffusion, or AI API services. 🧰 Optimizations for AI Hosting Use Docker to manage AI environments cleanly Install CUDA + cuDNN for NVIDIA GPU acceleration Use WSL2 (on Windows) to run Linux-native AI tools Run models with frameworks like TensorFlow, PyTorch, ONNX Runtime, or Ollama for LLMs ✅ Summary Use Case Best Option Out-of-the-box AI system Lambda or Puget Systems DIY power user Custom build with RTX 4090 + Ryzen 9/i9 Enterprise or research HP Z Workstations or BOXX Budget AI testing RTX 4070/4060 build with 32–64 GB RAM Would you like recommendations for a specific budget range or use case (e.g., image generation, LLMs, chatbots)? 1
Toy Boy Posted June 20, 2025 Posted June 20, 2025 2 hours ago, forcebwithu said: you’ll want to focus on systems that emphasize GPU performance, RAM, and storage speed That might explain why it's so slow, I've got 16 GB of RAM and the fastest processor that was available when the PC was built for me, but as I'm not interested in games I went for a standard graphics card. Actually, it shows how little I know about AI, but I thought that the Nvidia GPU's were only essential for training the systems, not for running the end-result? I mean, you can run small AI models on your phone and that's hardly got a high-end GPU in it. 1
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