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karencarits commented on Show HN: Nxtscape – an open-source agentic browser   github.com/nxtscape/nxtsc... · Posted by u/felarof
sneak · 2 months ago
For a long time I kicked around the idea of a browser extension that archives the full text of any long webpages you spend more than 30 seconds on, for full text indexing and search.

This would be that, but even better.

karencarits commented on "Microsoft Locked My Account – I Lost 30 Years of Photos and Work"   old.reddit.com/r/pcmaster... · Posted by u/bundie
oskarkk · 2 months ago
You don't have to be a geek, you don't need a rack, you don't need much time to do this. Just buy some external drive and copy at least something there. We're talking about "30 years of irreplaceable photos and work". Doing a backup one time a year would save 90%+ of that data in case of problems, without any need for technical knowledge or dedicating significant time to this.

I agree that the companies should not be allowed to just lock you out of your data like that, but even if there was a strongly enforced law mandating companies to not do this, you still should have some backup. Many things could happen, and doing a simple backup is a very small investment which can save you from losing 30 years of data (even if the risk is very small).

karencarits · 2 months ago
Getting backups right _is_ difficult and can easily be quite stressful. Yes, having some external drives here and there with files would of course be helpful. But then, should you encrypt them in case of theft? Where to keep them in case of fire? What to do with "old" backups (can I trust the drive to live more than 2 years? 5 years?), copy them over to new drives? But what then with duplicated files? I think having backups in the cloud is currently the best "backup and forget" strategy
karencarits commented on Show HN: AI Peer Reviewer – Multiagent system for scientific manuscript analysis   github.com/robertjakob/ri... · Posted by u/rjakob
isoprophlex · 3 months ago
Submitting your original, important, unpublished, research to some random entity. I would be VERY surprised if more than 2% of academics think this is a good idea.
karencarits · 3 months ago
I guess the paper would be complete enough to publish as a preprint at the stage where this specific service is most useful
karencarits commented on Show HN: AI Peer Reviewer – Multiagent system for scientific manuscript analysis   github.com/robertjakob/ri... · Posted by u/rjakob
rjakob · 3 months ago
Haha fair point, domain name was a 5-second, “what’s available for $6” kind of decision. Definitely not trying to go full corporate just yet
karencarits · 3 months ago
Great! Also, checking journal author guidelines is usually very boring and time consuming, so that would be a nice addition! Like, pasting the guidelines in full and getting notified if I am not following some specs
karencarits commented on Show HN: AI Peer Reviewer – Multiagent system for scientific manuscript analysis   github.com/robertjakob/ri... · Posted by u/rjakob
karencarits · 3 months ago
I'll hopefully get to test it soon. To me, LLMs have so far been great for proofreading and getting suggestions for alternative - perhaps more fluent - phrasings. One thing that immediately struck me, though: having 'company' in the URL makes me think corporate and made me much more skeptical than a more generic name would.
karencarits commented on Deepseek R1-0528   huggingface.co/deepseek-a... · Posted by u/error404x
lurking_swe · 3 months ago
a document management system is an easy example. Let’s say medical, legal, and tax documents.
karencarits · 3 months ago
Thank you, but what do you use the llm for? Writing new documents based on previous ones? Tagging/categorization/summarization/lookup? RAG? Extracting structured data from them?
karencarits commented on Deepseek R1-0528   huggingface.co/deepseek-a... · Posted by u/error404x
codedokode · 3 months ago
Anyone who does not want to leak their data? I am actually surprised that people are ok with trusting their secrets to a random foreign company.
karencarits · 3 months ago
But what do you do with these secrets? Like tagging emails, summarizing documents?
karencarits commented on Deepseek R1-0528   huggingface.co/deepseek-a... · Posted by u/error404x
jsemrau · 3 months ago
I have a signal tracer that evaluates unusual trading volumes. Given those signals, my local agent receives news items through API to make an assessment what happens. This helps me tremendously. If I would do this through a remote app, I'd have to spend a several dollars per day. So I have this on existing hardware.
karencarits · 3 months ago
Thank you, this is a great example!
karencarits commented on Deepseek R1-0528   huggingface.co/deepseek-a... · Posted by u/error404x
karencarits · 3 months ago
What use cases are people using local LLMs for? Have you created any practical tools that actually increase your efficiency? I've been experimenting a bit but find it hard to get inspiration for useful applications
karencarits commented on Getting AI to write good SQL   cloud.google.com/blog/pro... · Posted by u/richards
__loam · 3 months ago
Shocked you got a different output from the stochastic token generator.
karencarits · 3 months ago
That's not the point. While there is a temperature setting and randomness involved, you can still benchmark and experience significant differences in the output between models and generations. I thus provided more details and the full output to make it easier for people to assess the context of the comment I replied to

When someone uses the same tools as I do but seem to experience problems I do not have - these kind of posts often describes how bad LLMs are or how bad Google search is - I get a bit confused. Is it A/B testing going on? Am I just lucky? Am I inattentive to these weaknesses? Is it about promoting? Or what areas we work in? Do we actually use the same tools (i.e., same models)?

u/karencarits

KarmaCake day922June 15, 2021View Original