... each app. Keep it in one place that you control, and let the assistants you choose use it. The challenge is keeping that shared memory safe when multiple AI agents can change it. In the paper, I describe how Make0 Brain handles those changes: Each memory and edit records which assistant made it Every change is versioned AI deletions archive memories instead of erasing them Only you can restore an earlier version or permanently delete a memory So any change ... ... published results for Zep, LangMem, and Mem0; 92.0% in an experimental high-budget mode SWE-ContextBench Lite: the relevant prior coding task appeared in the top 10 in 92.9% of cases on a benchmark held out from tuning The paper

... plain text before you send it - is the worst of the four options tested. Two of the last three things I've written here were about reading the primary document instead of the coverage. This one is about a paper almost nobody covered, which is worse, because it changes a line of code a lot of us shipped this year without thinking about it. If your product has a "paste a URL" box, a link unfurler, an enrichment step ... ... competitor

... NBER paper tracks 500,000+ GitHub developers against their actual AI telemetry. The task-level gains are enormous and they mostly don't survive the trip to a shipped release. Across four app marketplaces: a sharp rise in new apps, no rise in total usage. Most of the AI-productivity argument you've read this year is two camps shouting single numbers at each other. There's a paper

... problem and what I m building are clear from the video. Comment from Dhruv Mehrotra(@dhruv_mehrotra1): What I'm building: Recepto (launched on Product Hunt today). It watches public buying signals, like a team unhappy with a competitor, a new sales leader, a hiring burst or someone asking peers "what do you use for X?", and scores each account against your ICP with the source shown. Then it finds the person who actually replies at accounts like that, verifies ... ... that it came from a nurse background shows. That clinical instinct for what patients actually need to understand vs

... Comment from Hung Tran(@hung_tran_from_notebook_os): Mine are all research-heavy I basically live in papers all day: NotebookLM I throw PDFs, transcripts and notes in and treat it as the thing I actually ask questions to. Closest thing I have to a second brain right now. Claude reasoning through messy problems and drafting. Zotero where every paper

... 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 Nika(@busmark_w_nika): @ahana_gandhi  Highly recommend doing those analogue things since the morning because as you go during ... ... zakharova2): Physical books. I just put electronics aside for an hour after work. And I purposefully devote an hour to LinkedIn and here Comment from Nika(@busmark_w_nika): @jinji_huang  It is just pity that because of paper