Choose a video for a question, then watch with preparation and an active check.
inAiLoading page content...
Watch with context
How watching becomes learning
Choose a video for the question it helps you examine. Each page adds preparation, chapters, key terms, caveats, an active check, accessibility context, and a useful next step.Choose by need
External video + inAi guide
A brisk route from early chess programs and symbolic rules to neural networks, transformers, benchmarks, and scaling laws. Use it to see that today’s wave has a long technical lineage—not to treat every forecast near the end as settled.
External video + inAi guide
A visual construction of a small digit-recognition network: pixels become activations, layers transform them, and weights and biases determine the result. The video motivates what ‘learning’ changes, while deliberately leaving the training algorithm to the next chapter.
External video + inAi guide
A visual tour of how a GPT-style transformer turns tokens into vectors, updates them through attention and feed-forward blocks, then produces a probability distribution for the next token. It explains repeated prediction and sampling without pretending that next-token generation is simple lookup.
External video + inAi guide
An approachable 2023 explanation of fluent but unsupported model outputs, with examples of contradiction, fabrication, and irrelevance. Its prompting advice is useful as risk reduction, but the correct habit is still to verify consequential claims against reliable sources.
Choose by need
External video + inAi guide
A clear practical ladder from a prompted chatbot, to a workflow with human-defined control logic, to an agent loop that chooses tools and iterates toward a goal. Keep the ladder as a useful comparison—not as the only accepted definition of an agent.
External video + inAi guide
ILO researchers explain why exposure is estimated from the tasks inside occupations rather than from dramatic job headlines. The 2023 study models potential automation and augmentation, then emphasizes job quality, gender, access, worker voice, redeployment, and the gap between technical possibility and adoption.
Choose by need
External video + inAi guide
A compact introduction to media provenance: verified capture, edit histories, and chains from creation to publication can add evidence about origin. WITNESS also shows why an authenticity signal must not become a truth badge or exclude people who need ordinary devices, anonymity, or safe editing.
External video + inAi guide
Joy Buolamwini uses repeated failures of facial-analysis systems to make algorithmic bias concrete, then traces harm from training data and development teams into policing, credit, hiring, and other institutions. The talk is historically important; its statistics and regulatory descriptions remain dated to 2016.
External video + inAi guide
A four-minute account of how servers and cooling drive data-centre electricity demand, why demand is geographically concentrated, and how the IEA’s 2025 Base Case reaches about 945 TWh in 2030. The video gives a system-scale forecast, not a universal per-prompt energy number.
External video + inAi guide
An extended conversation about competing meanings of AGI, singularity, and superintelligence; limitations attributed to current transformer systems; and predictive-coding, neurosymbolic, evolutionary, memory, and world-model alternatives. Its value is the disagreement and architecture map—not the guest’s confident 2029 forecast.
