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Fantastic explanation here!

麻煩幫我跟您們家執行長說：「所謂的物理晶片範疇，皆隸屬於“超晶體-超導體架構認知範疇”，這部份學術認知重點在於「粒子學」與「相對論」的應用重點，也就是智能發展的主要架構資訊體系」，超晶體一直以來都是我在追蹤與關注的分析重點事務！

Brilliant fantastic blessings 🙏

OpenAI’s new reasoning model produced a novel proof disproving a long‑standing Erdős geometry conjecture, marking what the company calls the first autonomous AI solution to a major open math problem

$2000 per engineer per month in tokens and the AI still ask for clarification on requirements. The human at least just guessed and moved on.

One thing I find interesting is that AI is making proof of work far more valuable than credentials. When everyone can generate output, the differentiator becomes showing how you think, what you build, and the problems you consistently solve. That's where documenting publicly starts compounding.

Agree. Using a single model is great for the people who just want to play. But those that are actually using AI, aren’t just using a model, they are building an ecosystem with the LLM just being a small part of it.

Stack

We all in one thing is inevitable, but I don’t understand how anyone can access all those platforms without paying for them

Thamk Nk. For the thing

Alex Smirnoff To my understanding, France and Russia both have ER-oriented healthcare cultures (urgences in France, skoraya pomoshch in Russia), so this is aligned with the US.

The interesting shift is that engineering leverage is increasingly coming from coordination and system design, not just the amount of code one person can write.

The real unlock is not only faster answers. It is lower friction around exploration. In business, the same idea applies when AI helps teams test options, preserve reasoning, and move from a rough question to a better decision without losing the trail.

AI doesn’t replace ambitious people.It exposes passive ones. The students winning right now aren’t always the smartest in the room. They’re the ones shipping weird projects at 2AM, learning in public, breaking tools, fixing them, and moving faster than curriculum updates. Meanwhile some executives are still scheduling a 6-week meeting cycle to discuss whether AI is “relevant.”By the time the committee approves the pilot, an intern has already automated half the workflow with three prompts and a coffee. The future probably belongs to people who can do both:think clearly like humansand move insanely fast with AI.

This is great research. Thank you for doing this.

Workflow fatigue exactly

Wow! Very interesting finding! 🤯 Do you think the bias of treating language as a proxy for geography limited to healthcare, or is it a broader issue across domains? …and should location be explicitly anchored in prompts to ensure correct grounding?🤔

is this your favorite AI tool now?

OpenAI ✨An interesting perspective on how AI can assist with the foundational elements of research. Looking forward to seeing how these collaborations shift the day-to-day workflow for scientists.

The point about preserving the paths behind discovery is fascinating. We often only see the final result, not the many dead ends and experiments that led there. AI could help make the research process itself more visible and reproducible.