YouTube Shorts
Videos from Skillion AI Labs on practical AI, workflow design, and venture building.
Shorts
Pete Cooper answers a question he gets asked often: are consumer AI chatbots like ChatGPT and Claude going to get more expensive? He argues retail prices will stay roughly where they are, and explains who he thinks will end up paying the real cost instead.
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Alice Bull describes a lead-generation dashboard she built for a UK construction company that pulled six separate data sources into a single ranked view. It is a concrete look at AI-assisted prospecting built on public data rather than a bought list.
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Pete Cooper explains Jevons' paradox, the 1865 observation that more efficient steam engines burned more coal rather than less, and applies it to AI. It is a short, clear answer to why falling AI costs are pushing resource use up instead of down.
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Pete Cooper picks up a guest's figure of an 83% downturn in the tech industry and argues the cause is not less code being written, but fewer developers writing more of it. He then names the data-heavy fields he expects the same pressure to reach next.
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Pete Cooper makes a quick case that AI is no longer an emerging story in business but the dominant one, using company valuations to make the point. He closes by spelling out what a unicorn actually is.
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Alice Bull explains why she chooses to work with solopreneurs and small businesses on AI: you can see the difference you have made far sooner than inside an enterprise. She contrasts that with a large US financial services firm where layers of hierarchy slow everything down.
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A guest argues that AI has made him more productive but has also generated more work rather than more free time. Pete Cooper picks up the thread with The Jetsons, and the flying car and one-button job that never arrived.
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Pete Cooper answers whether AI has a place in generating content, and lands on a qualified yes. His argument is that AI-made content earns its place as a genre of its own, and that the problem starts when it imitates a real person.
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AI is reshaping hiring by changing which roles disappear and which new roles emerge. This short asks whether businesses are prepared for that workforce shift.
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https://www.youtube.com/watch?v=YxXw2nj5M4U
AI Content vs. Human Connection: The Future of Marketing #shorts
Python combines rapid development with a large ecosystem of AI libraries, making it a practical choice for building and scaling AI automation.
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This short traces how a punk-rock festival inspired Liquid Death's unconventional approach to branding canned water.
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Retrieval-augmented generation connects AI to current company knowledge so its answers can be more accurate without retraining the model.
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RAG can reduce AI hallucinations by grounding answers in retrieved information, but unclear or conflicting sources still require human verification.
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Large language models can answer confidently even when they are guessing. This short explains why AI output should support, not replace, human judgement.
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This short considers the trade-off between efficient AI-generated voice and the emotional value of a human performance.
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Voice bots are part of the internet's shift from browsing and app APIs toward AI agents that can complete tasks on a user's behalf.
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Computer-use agents can browse websites and complete digital tasks for people, extending the internet beyond manual browsing and app-to-app APIs.
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Mykhailo Kushnir shares a builder's view of where AI agents work in practice and where business expectations are still mostly hype.
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A website chatbot can answer quickly, support visitors around the clock and automate routine conversations, helping teams respond without missing leads.
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Operations research provides optimisation methods while AI adds flexible intelligence. Together they can evaluate many variables to support better business decisions.
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This short excerpt considers how AI changes creative work and why adapting does not remove the value of human storytelling and performance.
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AI's growth increases data-centre electricity demand, making energy prices and environmental impact part of the conversation about responsible adoption.
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This short highlights practical ways AI is already being applied across pharmaceutical and healthcare work beyond the industry's headline claims.
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This short introduces an operations-research approach that combines optimisation and AI to reduce costs in a real business example.
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Demand for chips, data-centre capacity and electricity is rising with the AI boom. This short connects that demand to higher technology and energy costs.
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Effective AI adoption takes more than deploying chatbots or giving everyone Copilot. This short argues for a strategic programme that begins before results are urgent.
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Before rolling out AI, decide the business outcome, define the expected return, require audit trails for critical workflows and begin early.
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Some large companies are moving beyond isolated AI tools and redesigning workflows around AI from the top down and bottom up.
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A healthcare AI system flagged a hidden blood clot on a routine CT scan and prompted a radiologist to review an image that might otherwise have been missed.
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AI can help large companies lower costs, move faster and improve services, increasing pressure on smaller businesses to adapt deliberately.
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Physician, researcher and founder Rachel Draelos shares what building healthcare AI looks like in practice and where implementation differs from public debate.
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A simple question about whether to walk or drive 100 metres produces an unnecessarily elaborate ChatGPT answer, illustrating how AI can overcomplicate a task.
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Pete Cooper walks through an office AI designed for him, admiring the view, the plants, the coffee area and the shelving, right up until he reaches the fixture nobody asked for. A fifteen-second visual gag about confidently generated output.
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Petar Lazic explains how ambient listening technology can reduce the time clinicians spend documenting patient interactions after appointments.
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Different AI assistants are better suited to different tasks. This short argues against choosing one tool by default and encourages matching the model to the job.
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Replacing a receptionist involves more than adding a chatbot: integrations, judgement and human interactions all need to be considered and designed explicitly.
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This short offers a practical warning for founders: treat upfront payment requests as a red flag and test whether an intermediary will work on commission.
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A founder recounts a suspected investor scam where the contact's name did not match and they showed little knowledge of the company, revealing several red flags.
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Petar Lazic argues that ambient listening is a particularly valuable healthcare use of AI because it can reduce note-taking and let clinicians focus more fully on patients.
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Patrick describes teaching his mother to automate a grocery list with Claude through conversation, showing how accessible AI can be for non-technical users.
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Pete Cooper shares a prompt-based technique for recovering when ChatGPT, Claude or another language model becomes unhelpful during regular work.
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Patrick Neyland is building History Pen Pals, a screen-free educational experience that sends children handwritten-style letters from historical figures.
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While an old Nintendo game would not run reliably on an emulator, a developer recreated the remembered game in about 15 minutes as a quick example of vibe coding.
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Using Maslow's hierarchy of needs, this short argues that human needs for belonging, meaning and legacy distinguish people from AI systems.
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AI could reduce waste and improve healthcare operations, but implementation needs careful safeguards because errors can affect patients and clinical work.
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AI often tries to produce a pleasing answer even when instructions are incomplete. More specific context and direction can improve the result, but verification still matters.
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A cancelled flagship product illustrates three startup risks: falling demand, a lack of customers and a product that does not work as intended.
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Pete Cooper describes how regular use of large language models helped him clear a backlog and increase his personal workflow output.
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Therese Grittner and Pete Cooper discuss the conflicting excitement and fear around AI, including what adoption means for people and small businesses.
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AI adoption is an organisational transformation rather than a tool installed on the side. This short explains why experienced guidance matters during that change.
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Student resistance to AI can reflect a desire to preserve independent thinking and real learning. The short argues for using AI to support, rather than replace, critical thinking.
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AI can give people rapid access to information, teaching and research, but useful learning still depends on thoughtful questions, verification and appropriate guardrails.
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An AI practitioner reflects on why his daughters dislike AI and argues that the technology appeared in everyday products without enough explanation or introduction.
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A quick demonstration of using AI to build a Wheel of Fortune-style word game in minutes during a conversation with Leo Sevigny.
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This short argues that AI regulation can create new markets in privacy, cybersecurity, and compliance for founders who act early.
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Pete Cooper reflects on US AI executive-order news and why AI is becoming a business and leadership issue, not only a technology topic.
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A concise explanation of AI skills as practical capabilities that can help people and businesses work more effectively with AI.
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Pete Cooper shows how he turned golf simulator statistics into immediate coaching on ball position and strike rate using an LLM.
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Pete Cooper explains why AI adoption is becoming a competitive issue for businesses, with implications for productivity and operational leverage.
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Ellen Anckaert explains how small businesses can use AI for repetitive administrative work while preserving the human touch clients value.
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Ellen Anckaert discusses how workplace automation can remove tedious tasks and improve daily workflows rather than simply replace jobs.
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This short explains why building a solution before identifying a real problem often fails and encourages creators to begin with validated needs.
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A three-phase prompting method that uses personas, devil’s advocacy, and challenges to an AI assistant’s agreeable defaults to produce stronger answers.
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This short argues that foundational learning with pen and paper can make people better at using AI and more capable of spotting its errors.
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A look at how AI music tools can help move ideas into demos more quickly, lowering production barriers while leaving creative direction with the artist.
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Pete Cooper describes using large language models as always-available business partners for productive thinking, analysis, and goal-focused work.
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This short explores using AI as a creative partner to generate new lyric directions and help musicians work through writer’s block.
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A discussion of AI as a powerful tool whose benefits depend on cautious, responsible use, illustrated through everyday tasks and advice.
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A short explainer on Claude Mythos, the Anthropic model reported to be too capable at finding software vulnerabilities to release publicly. It lays out both sides of the problem: the same skill that hardens systems could be used to break them.
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A discussion of how banks and financial institutions adapt to rapid technology change while protecting customers from scams and vulnerabilities.
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This short examines the risk that pattern-based AI answers can create a shallow sense of understanding and argues for deeper foundational learning.
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Pete Cooper describes an unreleased AI tool that he says can surface software vulnerabilities sitting undiscovered for decades, and why he believes it is going to selected companies rather than the public. He walks through who he expects to get access first and what trickles down from there.
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A reminder that AI can assist with work but does not remove personal responsibility for understanding, checking, and owning the final output.
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A discussion of vehicle safety data and how AI-assisted systems may reduce deaths compared with vehicles that do not use those systems.
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This short compares the vision demands of Tesla’s full self-driving system in controlled and open environments and considers uses beyond driving.
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A firsthand look at Waymo rides in San Francisco and the potential for self-driving technology to change ridesharing and reduce traffic fatalities.
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A comparison of current self-driving AI with an F1 driver, examining situations where automation performs well and where human skill still matters.
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This short explores public expectations for autonomous-car safety and why those expectations differ from early assumptions made by the industry.
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A brief look at full self-driving technology and a future in which AI agents may offer more private, personalised digital conversations.
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A discussion of the emotional reaction to synthetic media and why encountering fake content can leave people feeling deceived or manipulated.
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A discussion of using AI to identify warning signals and prompt timely human intervention before stress, fatigue, or other risks lead to harm.
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Aparna Bharati discusses whether computer vision can find reliable outward signals of dehydration, stress, fatigue, and human wellbeing.
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Image-science specialist Chris Silsby explains why autonomous vehicles may use up to 15 high-resolution cameras to perceive complex road environments.
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A look at how quickly AI-generated video improved, using the well-known progression of synthetic Will Smith spaghetti clips as an example.
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This short discusses misuse of generative AI for non-consensual sexualised edits and the speed and scale at which harmful content can spread.
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Pete Cooper reflects on AI-enabled team workflows in construction and why investors may back the broader AI trend rather than isolated tools.
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This short presents an expert view that current neural networks learn patterns without physical grounding, limiting near-term claims about artificial general intelligence.
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A construction-industry observation that AI tools are being built around approved 2D drawings as the source of truth rather than requiring a BIM-first workflow.
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A discussion of AI moving from reactive analysis toward earlier medical warnings, diagnostic support, and timely interventions in healthcare.
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A quick guide to transferring saved AI memory from services such as ChatGPT or Gemini into Claude instead of rebuilding context from scratch.
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A discussion of increasingly convincing AI-generated images and deepfakes, along with the technologies being developed to authenticate real media.
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A discussion of Tesla’s self-driving promises, vision-system failures, serious accidents, and the accountability gap when automated systems make mistakes.
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Pete Cooper shares a BuiltWorlds conference example of an AI-native construction company increasing adoption and completing weeks of work in hours.
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A small-agency owner explains how AI has narrowed the capability gap with much larger agencies that previously had a decisive resource advantage.
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An introduction to search agent optimisation and how AI assistants such as ChatGPT are changing the way people discover information online.
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Miguel Adao discusses AI-enabled ingestible devices and micro-robotics, including their potential role in healthcare systems and treatment.
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This video compares modern fears about AI with earlier waves of technological adoption and argues for learning from history instead of reacting to hype.
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A discussion of common fears about AI, including scams and job displacement, and how those concerns may shape the future workforce.
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This short considers when AI can increase efficiency and productivity, and how poor implementation can instead contribute to job losses or business failure.
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