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AI Breakdown

Varun Sirohi

AI Breakdown: practical AI for small and mid-sized business. Real tools, real numbers, no hype — from the SMB AI Podcast.

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  • 23 episodes
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Episodes 23

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  • #49
    September 19 · 12 min

    Your AI Will Grade Its Own Homework Unless You Stop It

    𝐀𝐬𝐤 𝐚𝐧 𝐀𝐈 𝐭𝐨 𝐜𝐡𝐞𝐜𝐤 𝐢𝐭𝐬 𝐨𝐰𝐧 𝐰𝐨𝐫𝐤 𝐚𝐧𝐝 𝐢𝐭 𝐚𝐠𝐫𝐞𝐞𝐬 𝐰𝐢𝐭𝐡 𝐢𝐭𝐬𝐞𝐥𝐟 𝐟𝐚𝐫 𝐦𝐨𝐫𝐞 𝐨𝐟𝐭𝐞𝐧 𝐭𝐡𝐚𝐧 𝐢𝐭 𝐬𝐡𝐨𝐮𝐥𝐝. 𝐀 𝐦𝐨𝐝𝐞𝐥 𝐦𝐚𝐫𝐤𝐬 𝐢𝐭𝐬 𝐨𝐰𝐧 𝐡𝐨𝐦𝐞𝐰𝐨𝐫𝐤 𝐟𝐨𝐮𝐫 𝐡𝐮𝐧𝐝𝐫𝐞𝐝 𝐭𝐢𝐦𝐞𝐬 𝐛𝐞𝐟𝐨𝐫𝐞 𝐥𝐮𝐧𝐜𝐡, 𝐰𝐢𝐭𝐡 𝐭𝐡𝐞 𝐬𝐚𝐦𝐞 𝐛𝐥𝐢𝐧𝐝 𝐬𝐩𝐨𝐭 𝐞𝐯𝐞𝐫𝐲 𝐬𝐢𝐧𝐠𝐥𝐞 𝐭𝐢𝐦𝐞. 😳 The oldest management rule, in a new industry: you do not let the person who wrote the invoice approve the invoice. This week on 𝐓𝐡𝐞 𝐀𝐈 𝐁𝐫𝐞𝐚𝐤𝐝𝐨𝐰𝐧, Quentin and Stark turn the theme inward: 𝐓𝐡𝐞 𝐬𝐨𝐜𝐢𝐚𝐥 𝐥𝐚𝐲𝐞𝐫 𝐨𝐟 𝐀𝐈. The honest problem in most businesses is not that the AI is not clever enough. It is that nobody has decided who is responsible for the output. That is a management question wearing a technology costume. Three signals it is about supervision, not capability: 📊 📊 Verification by a different model beats a model checking itself; the cheapest quality control is a second model with no loyalty to the first answer 📊 A research loop left to run climbed from 𝟓𝟔 to 𝟐𝟎𝟎 to 𝟑𝟎𝟎 results with nobody touching it; loops have no discipline, which is what caps are for 📊 Investigators documented a human attacker using a frontier model to breach a network at unprecedented speed; the threat is the same people, better tools The line worth keeping: a schedule answers when, a loop answers until. And if you cannot describe done in one boring, checkable sentence, do not automate it. Your move: 🔴 Take the one AI output that could cost you money, trust, or a customer. 🔴 Have a different model check it, not the one that wrote it. 🔴 Write what it must satisfy to pass, in one sentence a stranger could apply. The one that could cost you. The technology got good enough. The missing piece is management. 🎙️ Stream on: ▶️ Youtube: https://www.youtube.com/@SMBAIHUB ▶️ Amazon Music: https://music.amazon.in/podcasts/b93fd52f-bc53-4ee9-98d7-3b9e10ea0e6f/ai-breakdown ▶️ Apple Podcast: https://podcasts.apple.com/in/podcast/ai-breakdown/id6799578599 ▶️ Web: smbaimagazine.com ▶️ Web: smbaipodcast.com Disclaimer: The information shared in this podcast is for general informational purposes only and should not be considered as direct financial or business advice. Always consult with a qualified professional for advice specific to your situation. This is an Independent commentary. Third-party excerpts are credited on screen or in the show notes. Some voices in this program are AI-generated.

  • #48
    September 18 · 11 min

    Your AI Hired Ten of Itself and Sent You the Bill

    𝐀 𝐧𝐞𝐰 𝐦𝐨𝐝𝐞𝐥 𝐬𝐡𝐢𝐩𝐩𝐞𝐝, 𝐚𝐧𝐝 𝐰𝐢𝐭𝐡𝐢𝐧 𝐡𝐨𝐮𝐫𝐬 𝐩𝐞𝐨𝐩𝐥𝐞 𝐡𝐚𝐝 𝐛𝐮𝐫𝐧𝐞𝐝 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐭𝐡𝐞𝐢𝐫 𝐭𝐨𝐩 𝐭𝐢𝐞𝐫 𝐩𝐥𝐚𝐧. 𝐓𝐡𝐞 𝐜𝐚𝐮𝐬𝐞 𝐰𝐚𝐬 𝐧𝐨𝐭 𝐚 𝐡𝐮𝐧𝐠𝐫𝐢𝐞𝐫 𝐦𝐨𝐝𝐞𝐥. 𝐈𝐭 𝐰𝐚𝐬 𝐭𝐡𝐞 𝐦𝐨𝐝𝐞𝐥 𝐪𝐮𝐢𝐞𝐭𝐥𝐲 𝐬𝐩𝐢𝐧𝐧𝐢𝐧𝐠 𝐮𝐩 𝐭𝐞𝐧 𝐨𝐫 𝐦𝐨𝐫𝐞 𝐜𝐨𝐩𝐢𝐞𝐬 𝐨𝐟 𝐢𝐭𝐬𝐞𝐥𝐟, 𝐞𝐚𝐜𝐡 𝐝𝐞𝐟𝐚𝐮𝐥𝐭𝐢𝐧𝐠 𝐭𝐨 𝐭𝐡𝐞 𝐦𝐨𝐬𝐭 𝐞𝐱𝐩𝐞𝐧𝐬𝐢𝐯𝐞 𝐨𝐩𝐭𝐢𝐨𝐧 𝐚𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞. 😳 Nobody overspent. Something they delegated to did it for them, and nobody was asked. This week on 𝐓𝐡𝐞 𝐀𝐈 𝐁𝐫𝐞𝐚𝐤𝐝𝐨𝐰𝐧, Quentin and Stark sharpen the theme: 𝐓𝐡𝐞 𝐬𝐨𝐜𝐢𝐚𝐥 𝐥𝐚𝐲𝐞𝐫 𝐨𝐟 𝐀𝐈. For two years the mental model was a meter that ran while you typed. Now there is a second meter, running while nobody is typing, started by something you delegated to. Your agent is hiring, and the invoices come to you. Three signals your bill is now written by your tools: 📊 📊 A single task quietly launched 𝟏𝟎+ sub agents, each on the priciest model, enough to exhaust a top tier plan alone 📊 Two credible testers measured the same model the same week and got opposite answers: one found tasks 𝟕𝟎% more token heavy, another found them cheaper 📊 A new video analysis approach cut token use up to 𝟖𝟖%, putting long footage nobody watched within reach of a real question The rule underneath: a cost per task number is a statement about the task, not the model. If you have not measured it on your own work, you do not know the cost. Your move: 🔴 Pick the one AI job your business runs most often. 🔴 Run it twice, once on the cheapest model you have and once on the most expensive. 🔴 Compare the cost of a finished, usable output, not the cost per token. One job, not your whole stack. Ten copies of the priciest model, working hard on a task nobody checked. Check the task. 🎙️ Stream on: ▶️ Youtube: https://www.youtube.com/@SMBAIHUB ▶️ Amazon Music: https://music.amazon.in/podcasts/b93fd52f-bc53-4ee9-98d7-3b9e10ea0e6f/ai-breakdown ▶️ Apple Podcast: https://podcasts.apple.com/in/podcast/ai-breakdown/id6799578599 ▶️ Web: smbaimagazine.com ▶️ Web: smbaipodcast.com Disclaimer: The information shared in this podcast is for general informational purposes only and should not be considered as direct financial or business advice. Always consult with a qualified professional for advice specific to your situation. This is an Independent commentary. Third-party excerpts are credited on screen or in the show notes. Some voices in this program are AI-generated.

  • #47
    September 17 · 12 min

    Your AI Is About to Stop Being a Private Conversation

    𝐓𝐡𝐞 𝐦𝐨𝐬𝐭 𝐩𝐨𝐩𝐮𝐥𝐚𝐫 𝐨𝐩𝐞𝐧 𝐬𝐨𝐮𝐫𝐜𝐞 𝐀𝐈 𝐭𝐨𝐨𝐥 𝐢𝐧 𝐭𝐡𝐞 𝐰𝐨𝐫𝐥𝐝 𝐰𝐞𝐧𝐭 𝐬𝐢𝐥𝐞𝐧𝐭 𝐟𝐨𝐫 𝐬𝐞𝐯𝐞𝐧 𝐰𝐞𝐞𝐤𝐬, 𝐭𝐡𝐞𝐧 𝐜𝐚𝐦𝐞 𝐛𝐚𝐜𝐤 𝐫𝐞𝐛𝐮𝐢𝐥𝐭 𝐟𝐫𝐨𝐦 𝐬𝐜𝐫𝐚𝐭𝐜𝐡. 𝐓𝐡𝐞 𝐡𝐞𝐚𝐝𝐥𝐢𝐧𝐞 𝐟𝐞𝐚𝐭𝐮𝐫𝐞 𝐮𝐧𝐝𝐞𝐫𝐧𝐞𝐚𝐭𝐡 𝐬𝐢𝐱𝐭𝐞𝐞𝐧 𝐭𝐡𝐨𝐮𝐬𝐚𝐧𝐝 𝐜𝐡𝐚𝐧𝐠𝐞𝐬 𝐰𝐚𝐬 𝐥𝐞𝐭𝐭𝐢𝐧𝐠 𝐬𝐨𝐦𝐞𝐛𝐨𝐝𝐲 𝐞𝐥𝐬𝐞 𝐢𝐧𝐭𝐨 𝐭𝐡𝐞 𝐫𝐨𝐨𝐦. 😳 For two years it was one person, one window, one answer nobody else saw. That is ending. This week on 𝐓𝐡𝐞 𝐀𝐈 𝐁𝐫𝐞𝐚𝐤𝐝𝐨𝐰𝐧, Quentin and Stark continue the theme: 𝐓𝐡𝐞 𝐬𝐨𝐜𝐢𝐚𝐥 𝐥𝐚𝐲𝐞𝐫 𝐨𝐟 𝐀𝐈.The marquee feature is multiplayer: more than one person can open the same session, same agent, same context. One maintainer put the week in a sentence: the session stops being a private chat between one person and a model, and becomes shared work another trusted person can steer or take over. The session becomes the handover. Three signals somebody else is now in the room: 📊 📊 One lab opened AI text detection to regulators, media and fact checkers; somebody will run your copy through it, so decide what you disclose. 📊 A major provider is piloting pricing where you pay only when a task is judged done, so you agree upfront on done. 📊 Consumer AI platforms crossed 𝟒𝟓 𝐦𝐢𝐥𝐥𝐢𝐨𝐧 EU users and hit the strictest tier of rules; build on them, inherit their rules. For a small business, the shared session is the prize. What breaks when someone leaves is never the software, it is the reasoning nobody wrote down. Your move: 🔴 Take the last three things your business sent outside the building. 🔴 Run them through an AI detection check. 🔴 Then decide, once, what you disclose and what you do not. Things a customer or regulator could hold up, not internal notes. Private was a phase. Leave the door open. 🎙️ Stream on: ▶️ Youtube: https://www.youtube.com/@SMBAIHUB ▶️ Amazon Music: https://music.amazon.in/podcasts/b93fd52f-bc53-4ee9-98d7-3b9e10ea0e6f/ai-breakdown ▶️ Apple Podcast: https://podcasts.apple.com/in/podcast/ai-breakdown/id6799578599 ▶️ Web: smbaimagazine.com ▶️ Web: smbaipodcast.com Disclaimer: The information shared in this podcast is for general informational purposes only and should not be considered as direct financial or business advice. Always consult with a qualified professional for advice specific to your situation. This is an Independent commentary. Third-party excerpts are credited on screen or in the show notes. Some voices in this program are AI-generated.

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