#ask

• ?q=... prefills in a new chat and often auto-submits, especially small text #. Useful for:
  • A custom search engine in your browser
  • An "Ask ChatGPT about selection" bookmarklet, etc.
  • Links (e.g. from courses, FAQs, etc.) for tasks or learning
  • ... but not for custom GPTs
• ?model=... selects a model (e.g., gpt-5-thinking).
• ?hints=search enables Search mode
• ?temporary-chat=true opens a new temporary chat

ask clarifying questions when needed

• Ask better questions. (Prompt engineering.)
• Create templates or step-by-step instructions. (Chain of Thought.)
• Ask for multiple options and pick from the best options. (Agentic approach?)
• Training. (Fine tuning.)
• Price weaker responses lower. (Stratified model pricing?)

• Domain-specific models being beaten by general purpose models is a phase. It will reverse towards domain.
  • AI will potentially help build and understand domain-specific models
• Models are evolving so rapidly that humans cannot interpret models. We need a process to interpret models!
• xAI, Responsible AI, Physics-guided or Knowledge-guided models (called grey box models) are therefore a trend
• CS papers
  • Don't review other papers, certainly not other fields.
  • Disregard measurement errors.
• When CS papers get applied to climate, manufacturing or biology, we'll worry about
  • Interpretability
  • Domain-specific mechanics. (Introduce that into the training as a constraint.)
    • Many domain experts are using AI to UNDERSTAND their process. Need to explore
  • Uncertainty
• IB adds context to make learning applicable. But that distracts from the core learning, and if there's a gap it widens
• Most data science courses teach "Python science", not data science. They teach a bunch of models. They don't teach how even one kind of model e.g. LSTM works.
• Most coaching programs today teach FAMILIARITY with problems, not critical thinking
• Most of current education will become redundant thanks to LLMs. For students AND teachers
  • Coding will become irrelevant
  • Cognitive thinking, reasoning, human relations, systems thinking will become more relevant
  • Troubleshooting will become more important. AI is not self-diagnosing. I would hire someone who can figure out something is going wrong, diagnose what's going wrong, and fix it
  • Hire for troubleshooting ability. Give a Q, an A, and ask them to figure out if it's wrong, why, and fix it
• All my exams and quizzes are open book, open ChatGPT. Onus is on me to give a problem that forces you to think.
  • Write a question paper that is ChatGPT proof.
• Exploring AI could be a ToK subject. "How to interact with an AI?"
  • We need a manual on how to use AI. Like Simon Willison says
  • Content doesn't suffice. You need pedegogy. What to serve you at what time, how, how to assess. Lots of businesses are filling this gap
  • Students get great confidence when a teacher points to online content and says, I"ll tell you WHAT to see" and COMPLEMENTS that in their class
• "The map is not the territory." Most people confuse sample mean for the actual.
• Parameter estimation -> Signal estimation -> State estimation
• Stats vs DL differ in that
  • There is no notion of a defined "truth". Hence reliability is not measurable
  • Parameters have no value. Hence interpretability is ignored.
• Read 2020 National Education Policy. It's quite modern.
• We need a manual on self-learning too
• Listening is not learning. You know only if you implement.
• Levels for students:
  • I can solve it.
  • I can explain why it works.
  • I can find alternatives.
  • I can apply it to a new area, reformulating (requires imagination.)
• For teachers, you also need:
  • Responsible learning (extra careful about what to teach and how to teach, to exceite them, to teach at THEIR level).
  • Show the universality and connecting to other concepts. E.g. noise reduction with FT is like using water to remove dirt. Transform to water domain, remove dirt, transform back to air domain. It's better than dusting clothes to remove clothes. Washing machine programs are just different models of removing noise in the water domain.
• Teach people who WANT to learn AND who will APPLY it long-term. That's what maximizes impact
  • Grad students are more satisfying that way.
  • Else, it is WASTED effort. (Not that it's a bad thing for the student, but the effort IS wasted for the teacher)
• Therefore, I believe students should have general engineering first, and let students pick specialization later. Some universitie are doing that.
• Students remember my philosophy more than my content. We impart character, not just knowledge.
• Astrology and horoscopes serve a different function. They provide explainability, not predictive ability. As the world becomes less explainable, the need for astrology will grow.
  • Explainability is about creating STORIES that fits data plausibly. It has nothing to do with data or truth.
  • Explainability and predictive ability and reproducibility are all different. Maybe, Science is about the latter two, less about explainability.
  • Astrology is a model. The map is not the territory. It's an explanatory, not a predictive model.
  • Therefore, my lessons are just explanations. Stats about experiments are STILL explanations. They are NOT reproducible or predictive. Hence not yet science
• The meaning of our life is the transformation we undergo in our lives
  • Read "The Journey of Souls" by Michael Newton. A hypnotherapist
• Try regression therapy / hypnosis. Record it and listen to it. Just for fun!

• Singapore developers the Sea Lion 7b model
• Try VLLM with AWQ format. Can do batch inferencing. Needs a good GPU
• Amex prediction whether they can pay back in 1 year or 18 months. That choice is a business decision. In real time. Precompute individual score and use it as input to another model. Model must be explainable by regulation. Creates decision tree models therefore. Compliance team must agree if I can use a feature. Can't use gender. Age (in US, Canada);- high age is more risk. Can't use edu level in the US.
• Capture information from camera and use LLMs. Like traffic cameras mapping. Explore GIS from video cameras
• Grab tracks road closures and road accidents and whether a cycle can go on a road vs a bike vs a car
• All drivers have a front facing camera
• Drivers report road accidents by pressing a button
• Amex prices individual loans when selling to a collection agency
• buy a bike head camera!
• Playwright is a browser-based test framework. Supports recording.