YouTube Shorts / Page 2
Videos from Skillion AI Labs on practical AI, workflow design, and venture building.
Shorts
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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