Browse Comments — Raw (as collected)

I see cannibalism.. Or whatever you call it in plants 😉. Interesting facts💫

Great insight! Thanks for sharing this perspective.

Thanks for the experiment and the insights My own add: Regional differences are real, yet many business leaders still call for one-size-fits-all approaches where solution originally developed for US and Europe would work well in Asia

Good insight.

Aaron (Ari) Bornstein Anchor the location explicitly in the system prompt based on the user's profile, not their language. The model already knows how to apply the right norms, and it just needs the right context.

Sachin Yerrawar This is a great example. The fact that you saw the same behavior with Claude on lab reports suggests this is a cross-model pattern, not a Gemini-specific quirk.

Bill Faruki Interesting approach. The translate-first pipeline would eliminate the language-to-location inference, but it introduces a different tradeoff: you lose cultural context that might actually be relevant. A Japanese patient describing symptoms with culturally specific framing (e.g., hesitancy, understatement) might get flattened in translation. The cleaner fix might be to keep the native language but anchor the location explicitly in the system prompt. That way you get both cultural sensitivity and the correct care pathway.

This post is packed with wisdom.

The expat case is the most alarming part, a Hindi speaker in San Francisco silently receiving Mumbai-anchored triage logic purely based on language. Language ≠ location, and in healthcare that gap can have real consequences.

This is so cool. I would never have thought of drawing a red line to instruct where things should go. Thanks for the tip.

Open-sourcing the dataset, python code, and README details here: https://github.com/wongqihan/ai-behavioral-experiments/tree/main/multilingual-medical-triage

Actually insanely revolutionary to have such a robust artificial world model..: infinite training data and simulation. Just waiting for it to be real time for gta 7

This gets me thinking in lot of other examples of hidden inference Name in prompt: “Help John Smith with his resume” vs “Help Priya Sharma with her resume.” AI suggestions subtly shift, different tone, different industry assumptions. Writing style: Formal academic English vs casual slang. Same question, different answers. AI adjusts confidence level, complexity, even what it omits. Currency/units: Type “$500 budget” vs “₹500 budget.” AI changes scope of recommendations entirely, not just currency conversion. Time format: “Schedule at 3pm” with no timezone. AI infers timezone from language/locale context, silently. Gender pronouns in context: Describe a nurse vs describe a surgeon. AI completion biases shift based on training data stereotypes, even when not asked. Looks like our system prompt keeps getting bigger

It is honestly wild to see how AI is helping someone like Terence Tao think through complex math problems. I love the idea of reducing that mental friction so we can actually focus on the creative side of things. It makes me wonder what kind of breakthroughs we might see once these tools become standard for every researcher. Have you had a chance to watch the full talk yet? I am definitely adding it to my queue for the weekend.

Understanding how preparation methods shift nutrient absorption is a powerful lever for better energy, recovery, and long term health without needing expensive supplements or complex diets.

The part about preserving the path behind discovery feels underrated. In serious AI-assisted work, the answer is only one artifact. The record of how you got there is what makes the work usable later.

Absolutely, Biome Health. Food is only part of the story. Our body also has to break it down, absorb it, and work with what becomes available. Sometimes one small kitchen change is what helps our gut, our digestion, and our energy finally get more from the same food.

Thank you, Hironori. Beautifully put. Love how you framed food as dynamic, because that is really the heart of it. A tomato, garlic clove, or carrot can offer our body something different depending on how we prepare it. Simple kitchen choices, repeated over time, can become a very practical part of our long term wellbeing.

Absolutely spot on, Vidhi. Most of us talk endlessly about what to eat, but how we prepare it can completely change what our body is able to use. That part important deserves way more attention.

That is so so true, Naman. Raw vs cooked can look like a tiny choice, but our daily food habits add up quietly. Our body feels those little decisions over time.