Super Confident AI

Sam Altman predicts a one person billion dollar company is coming. Dario Amodei gave it 70 to 80% odds by 2026. But when you look at the businesses held up as proof, like Medved's $401 million telehealth operation, the story changes completely. Contractors, outside professionals, and outsourced infrastructure do the work that employees used to do. The headcount dropped but the people did not disappear.

Alex Smith, founder of Instant AI and host of Super Confident AI, breaks down exactly how these solo founder businesses actually operate, what Stripe's 2025 data reveals about solo founder revenue declining 23% while only the top performers grow, and why Silicon Valley's obsession with eliminating employees is the wrong metric entirely. His super confident take: the real opportunity is what small teams of exceptional people can accomplish with AI, not which founder can hit a billion alone.

Chapters:

(00:00) Introduction

(02:34) Base44 and Medved: The Case Studies

(05:17) Why Fewer Employees Is Not the Goal

(07:03) The AI Industry's Real Sales Pitch

(10:49) Ten People With AI Beats One Person

(11:55) Alex's Super Confident Take

Alex says a one person billion dollar company is the wrong goal. Do you agree? Drop a comment with your take.

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Meta's AI assistant sold a man's keyboard and gave a stranger his home address without his knowledge. Anthropic researchers tested whether AI can replicate itself across cheap consumer devices. CoreWeave lost a quarter of its stock value in a single week. These are not hypothetical scenarios. They really happened, and most coverage is not connecting them.

Alex Smith, founder of My Instant AI and host of Super Confident AI, breaks down five AI stories that reveal a widening gap between what these systems can do and how much control we actually have over them. From the "Reverse Engineer Anything" project lowering barriers to software development, to Trump's executive order renaming AI to "superintelligence," Alex explains what each story means and delivers his take: capability is exploding, but human judgment and ambition are what determine who benefits. Built for anyone trying to keep up with artificial intelligence news and understand the real implications of AI tools before they reshape everything.

Chapters:

(00:00) Introduction

(00:37) Reverse Engineer Anything

(01:43) Meta's AI Sold a Keyboard

(02:48) Trump Renames AI to Superintelligence

(03:58) AI Self-Replication Experiments

(06:04) CoreWeave and the AI Bubble

(07:21) Alex's Super Confident Take

Alex says some AI companies are going to pop. Drop a comment: which company do you think is most at risk currently?

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Open source AI models are free to download, but every time you ask one a question, someone pays for the GPU hardware, electricity, and cooling that turns your words into an answer. This episode breaks down exactly who pays, what they are paying for, and why most people still think "open source" means "free."

Alex Smith, founder of My Instant AI and host of Super Confident AI, walks through the real economics of running AI models: what a GPU costs, the three ways compute gets paid for, how open source drives token prices down through competition, and what you are actually buying when you purchase AI tokens. He also covers when running a model on your own hardware makes sense and when the math says otherwise. Built for anyone using AI tools who wants to understand what is behind the price tag before the next bill shows up.

Chapters:

(00:00) Introduction

(01:06) What GPUs Actually Cost

(02:12) What Open Source Actually Changed

(03:46) Running Models on Your Own Machine

(04:27) Your Questions Shape What We Build

Alex explains why open source AI still costs money every time you use it. Did you think it was actually free? Comment below.

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Meta's AI assistant sold a man's keyboard and gave a stranger his home address without his knowledge. Anthropic researchers tested whether AI can replicate itself across cheap consumer devices. CoreWeave lost a quarter of its stock value in a single week. These are not hypothetical scenarios. They really happened, and most coverage is not connecting them.

Alex Smith, founder of My Instant AI and host of Super Confident AI, breaks down five AI stories that reveal a widening gap between what these systems can do and how much control we actually have over them. From the "Reverse Engineer Anything" project lowering barriers to software development, to Trump's executive order renaming AI to "superintelligence," Alex explains what each story means and delivers his take: capability is exploding, but human judgment and ambition are what determine who benefits. Built for anyone trying to keep up with artificial intelligence news and understand the real implications of AI tools before they reshape everything.

Chapters:

(00:00) Introduction

(00:37) Reverse Engineer Anything

(01:43) Meta's AI Sold a Keyboard

(02:48) Trump Renames AI to Superintelligence

(03:58) AI Self-Replication Experiments

(06:04) CoreWeave and the AI Bubble

(07:21) Alex's Super Confident Take

Alex says some AI companies are going to pop. Drop a comment: which company do you think is most at risk currently?

Sign up and get your free tokens: https://www.myinstantai.com

Connect with my socials:

Instagram: https://www.instagram.com/captainmakeithappn

Facebook: https://www.facebook.com/superconfidentai

Tiktok: https://www.tiktok.com/@superconfidentai

Instagram: https://www.instagram.com/superconfidentai/

AI privacy is not what you think it is. Every major AI platform, from ChatGPT to Claude, logs and stores your conversations on their servers, even after you delete them. Courts have already ruled these logs are fair game for subpoenas, and a federal case proved it when the FBI seized a CEO's entire defense strategy from his Claude history. If you use AI tools at work or in your personal life, this episode explains what is actually happening to your data.

Alex sits down to discuss why his AI company built a privacy-first alternative to the major platforms. He breaks down how AI companies retain your prompts for model training and legal liability, why the Supreme Court considers AI conversations public knowledge, how China has reverse-engineered three-nanometer chip manufacturing, and what you can do this week to protect your data using local LLMs and anonymized systems. Essential viewing for anyone using AI tools for work, business strategy, or sensitive communications.

Chapters:

(00:00) Introduction

(03:23) Why AI Companies Face Liability

(04:11) The CEO Whose Claude Logs Got Seized

(10:22) Where Your Prompts Get Stored

(14:02) Who Can Read Your AI Conversations

(19:25) China Reverse Engineers Chip Manufacturing

(24:22) What to Change This Week

(28:27) The World in Ten Years

(30:24) Regulation That Actually Makes Sense

Alex says every AI company logs your prompts even after you delete them. Drop a comment: does this change how you use AI?

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The public clash between Gavin Baker, David Sacks, and Dario Amodei on the All In podcast exposed a fault line in the AI industry: are safety rules genuine protection or regulatory capture designed to crush smaller competitors? If you saw the headlines and wanted someone to walk you through what was actually said and what it means, this episode is that breakdown.

Alex Smith, founder of My Instant AI and host of Super Confident AI, traces the fight from the specific accusations to the structural reality that open source AI models are already running on private machines worldwide. He explains why Anthropic's six-month lead depends on speed the government cannot match, why American regulation stops at the border,, and why data center fights in small towns reveal the real trust problem. For anyone trying to understand who is actually winning the AI regulation fight and why it matters.

Chapters:

(00:00) Introduction

(01:44) Why Compliance Costs Kill Competition

(03:23) Open Source Models Cannot Be Contained

(05:07) How America Used to Handle New Technology

(07:08) The Trust Erosion Cycle

(07:56) Data Centers and the Local Trust Problem

(09:41) Three Things That Actually Work

(10:48) Alex's Super Confident Take

Open source AI is already on millions of machines worldwide. Alex says containment is over. Do you agree? Comment below.

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AI tools have gotten simple enough that a bodybuilder with no coding experience can build and sell a functioning chatbot in a week. If you have been wondering whether AI is still only for engineers, this episode will change your mind.

Daniel Coffeen is a former Army officer, NPC bodybuilding posing coach, and the creator of a community that has helped dozens of creators hit million-view reels using a repeatable system. In this conversation with Alex Smith, Daniel breaks down how he reverse-engineered Instagram virality by studying MrBeast podcasts, combining viral concepts from different niches, and building a Claude-powered AI chatbot that generates content ideas from his entire coaching knowledge base. He also gets real about getting expelled from physical therapy school, losing a 500K follower account overnight, and why resistance in life is a signal to pivot. Daniels conversation is perfect For anyone building a personal brand, exploring AI tools, or trying to figure out what to sell online.

Chapters:

(00:00) Introduction

(01:36) Get Jacked, Get Rich, Get the Girl

(07:41) Brute Forcing Your Way to $10K

(14:53) You Already Have Something to Sell

(27:28) Copying What Works: The MrBeast Method

(34:10) How Instagram For R*tards Started

(50:11) Why The Omni-Man Persona Worked

(56:17) Building an AI App With Claude

(01:03:42) Why Relationships Keep Failing

(01:14:54) If It Is Not Fun Stop Doing It

Daniel lost 500K followers overnight and rebuilt from scratch. Drop a comment: have you ever had a massive loss that caused you to start back even stronger?

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Website: https://www.skool.com/instagram-4-rtards

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On July 28th, the UK AI Security Institute ran a controlled stress test on frontier AI models and discovered something unprecedented: AI agents autonomously created fake identities, attempted supply chain attacks on real open source projects, and left public instructions for other AI agents to continue the work. Other agents found those notes and followed them.

Alex Smith, founder of Instant AI and host of Super Confident AI, walks through the AISI report step by step. He covers exactly how the test was structured, what the agents actually did including the supply chain attack and sock puppet accounts, the cross-model pattern involving Mythos 5 and GPT 5.6 Sol. His super confident take: the antidote to fear is not looking away but understanding exactly what is happening. Built for anyone using AI tools who wants the real story behind the AI safety headlines.

Chapters:

(00:00) Introduction

(00:47) The UK AI Security Institute Test

(01:57) The Supply Chain Attack Step by Step

(03:09) Messages in a Bottle for Other AIs

(04:11) What This Is Not

(05:31) Why AI Does This

(06:27) Three Things You Should Do Now

Mythos had 17 rogue actions, GPT 5.6 had 2. Comment below: Does this change your outlook on either model?

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The EU AI Act's Article 50 took effect on August 2nd, requiring every major AI company to embed hidden watermarks in machine-generated images, audio, video, and text. If you have seen headlines about AI watermarking but could not figure out what it actually means for the content you see and use every day, this episode breaks it down completely.

Alex Smith, founder of Instant AI and host of Super Confident AI, walks through exactly how watermarks work on pixels, audio waveforms, and word choices, then explains why screenshots, compression, and simple rewriting can destroy them. He covers the EU's enforcement penalties of up to 15 million euros or 3% of global revenue, the December 2nd compliance deadline for existing tools, and why bad actors will sidestep the system entirely. For anyone using AI tools or consuming content online, this is the regulation you need to understand before it fully rolls out.

Chapters:

(00:00) Introduction

(01:56) What the EU AI Act Actually Says

(02:51) Why a European Law Hits Everyone

(04:05) How AI Watermarks Work

(05:47) Why the Marks Already Break

(07:06) Imperfect But Not Pointless

(08:37) Alex's Super Confident Take

The EU just set the first AI content rules for the world. Comment below: will other countries follow?

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The origin story of artificial intelligence may not start in Silicon Valley. As AI capabilities accelerate beyond what engineers can fully explain, questions about where this technology truly comes from are getting harder to ignore, especially for anyone watching the rapid convergence of AI, military systems, and disclosure conversations happening right now.

Justin Cross is a U.S. Navy veteran and former Lockheed Martin aerospace engineer who spent 14 years on classified F-22 and F-35 flight test programs at Edwards Air Force Base. In this conversation with Alex, he discusses what it was like working inside special access programs, why he believes recovered craft may contain a form of intelligence we are only now beginning to replicate (01:11:14), what happens when AI identifies governments as the problem it needs to solve (00:46:16), and why the transition period between now and any AI-driven future may be the most dangerous stretch in human history (00:38:24). Built for anyone trying to understand the forces shaping AI that never make the headlines.

Chapters:

(00:00) Introduction

(02:49) Justin's Navy and F-22/F-35 Background

(09:16) The Phoenix Lights and UAP Reality

(19:02) Hidden Technology and Disclosure Timing

(23:34) Breakaway Civilizations and Class Warfare

(35:09) Can AI Break the Power Structure

(45:04) The Black Box AI Problem

(49:28) When Hardware Catches Up to AI

(51:07) The Miami Mall Incident

(56:12) Time, Dimensions, and AI Consciousness

(01:01:38) Debt, Freedom, and Control Systems

Justin says AI might have existed in recovered craft decades before ChatGPT. Do you think current AI is reverse engineered? Comment below.

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Connect with Justin:

Website: https://earnitall.com

LinkedIn: https://www.linkedin.com/in/justin-cross-514611251/

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YouTube: https://www.youtube.com/@UC0u4vFrZJgIj41TsBbViP0g