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Feb 12, 2025 [1]

[1] https://www.nomic.ai/blog





Grist [1] desktop [2] is a (kind of) local "wrapper app" over an sqlite database. It is "As extendible as it is flexible" [3]

The problem is I feel the tabular DB format is "too raw" for some usecases. I prefer Outliner/DB combos (like the upcoming logseq DB version) or maybe one of the local Notion alternatives.

[1] https://github.com/gristlabs/grist-core [2] https://github.com/gristlabs/grist-desktop [3] https://www.getgrist.com/product/#:~:text=As%20extendible%20...


This looks amazing. I wish there was a native encryption option so that if the DB were ever leaked, all the info in it would have some reasonable level of protection.


Would it be possible to import titles as a text list, instead of requiring files?

I'm not a hoarder, but I do have a (very) long Excel file of movies and documentaries that I want to watch or have already watched. Most of them are available on streaming sites or for rent/download on demand.

You've got a great IMDb scraper and filtering UI. That's all I really need! :)


Still based on files, however, Media Hoarder doesn't care if you feed it 0-byte files. So yes, you can export your Excel file as such.

Actually, I do use 0-byte files in my tests and demos. They are artificially created in the following way: https://github.com/theMK2k/media-hoarder-testset-generator


Sounds like you can generate a folder of files from an input excel using FUSE.


With Suno 3 (and possibly Stable Audio 2), we are definitely experiencing a moment for music that parallels what we saw with ChatGPT 3.5 and Dall-E 2. The unexpected jump in quality (like sora recently) is again surprising (to me).

As with these 3 past breakthroughs, Google seems to be (slightly) lagging and again misses the "defining moment". I'm willing to say that OpenAI could have achieved something similar (and claim a 4th turning point), but the headache of copyright issues likely pushed them to focus on Sora first. I'm almost certain Udio and Suno were trained on (a lot) of copyrighted music.


So, an LLM scoring over 80 on MMLU is no longer newsworthy on Hacker News? We've indeed come a long way.

Or perhaps it's just the skepticism surrounding such "claims". That's why I reckon more chatbots that don't rely on an API, similar to Inflection (or Microsoft's Copilot ?), should be directly integrated into the LMSYS Leaderboard. Isn't this what they did with Gemini/Bard?


I keep hearing of AI photonic chips and how energy efficient (and faster) they are. This could be THE solution ? How far away are we?


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