... into three modes of inference: induction finds patterns in data; deduction derives conclusions from rules; and abduction proposes a new explanatory framework for a surprising result. Today's LLMs are strong at induction and rapidly improving at deduction. The paper argues that they still lack the abductive jump needed to originate new foundational hypotheses. Given Einstein's equivalence principle, a model might derive much of the later mathematics. The harder step is inventing that principle when observations are sparse ... ... world models that can act, observe consequences, and turn simulation into new formal hypotheses. LLMs may be excellent at climbing an existing hill. Whether they can jump to a hill that did not exist before remains an open question. Paper

... actually matters in a property contract, so buyers aren t left staring at 40 pages wondering what s important. Love your suggestion about flagging non-standard clauses. That s a powerful way to help buyers spot what s routine vs. what might need a closer look or a conversation with their conveyancer. We re already exploring ways to highlight unusual or high-risk terms, and your feedback reinforces that this is a priority. Thanks again for the thoughtful input. Comment ... ... that it came from a nurse background shows. That clinical instinct for what patients actually need to understand vs

... Edes(@elsedes): @mikbal   Comment from Els Edes(@elsedes): Fun question for a Friday afternoon. Gotta love the weekend ;) Here we go: Claude / ChatGPT for brainstorming, coding and problem-solving VS Code much to my own surprise :) MacBook + iPhone basically my mobile office Final Cut Pro Paper

... doorbell. It rings the same whether it's a package or a fire. That's basically the gap Pushary fills, same hook idea you've already wired, but the event carries a real handoff (done vs blocked vs

... writes the paper now. That part got easy. But then comes the actual submission part and suddenly it's 11pm on a Sunday and you're googling why your bibliography is broken again. Stuff researchers are still doing manually: fixing LaTeX that AI confidently got wrong fighting IEEE / Springer / Elsevier templates moving figures around for the 6th time converting a Word doc into LaTeX and regretting everything getting desk rejected because a margin was off AI made the writing faster ...

... started experimenting with is reading books, textbooks, or workbooks early in the morning, before touching my phone or any other electronics. So far, it seems to help improve my focus. How do you balance content consumption (especially digital vs analogue) to avoid shorter attention spans? And do you prefer e-books or physical books? Comment from Stan Kolotinskiy(@sk_uxpin): @busmark_w_nika  I'm not sure about that one :D People mostly don't care about books nowadays ... ... fast you consume the content or better question: what is like your attention span :D Comment from Jinji Huang(@jinji_huang): @busmark_w_nika True. That is the tradeoff I still have not fully solved. I try to use paper

... wanted Claude Code on my phone, so I built Clawd Phone, basically a mobile version of it. My phone has hundreds of PDFs and documents piled up: papers, books, manuals, screenshots, with no real way to search them. Now I just ask Claude things like find the paper