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Notes for February 2-7

https://taoofmac.com/space/notes/2026/02/07/2000
2•rcarmo•1m ago•0 comments

Study confirms experience beats youthful enthusiasm

https://www.theregister.com/2026/02/07/boomers_vs_zoomers_workplace/
1•Willingham•8m ago•0 comments

The Big Hunger by Walter J Miller, Jr. (1952)

https://lauriepenny.substack.com/p/the-big-hunger
1•shervinafshar•9m ago•0 comments

The Genus Amanita

https://www.mushroomexpert.com/amanita.html
1•rolph•14m ago•0 comments

We have broken SHA-1 in practice

https://shattered.io/
1•mooreds•15m ago•1 comments

Ask HN: Was my first management job bad, or is this what management is like?

1•Buttons840•16m ago•0 comments

Ask HN: How to Reduce Time Spent Crimping?

1•pinkmuffinere•17m ago•0 comments

KV Cache Transform Coding for Compact Storage in LLM Inference

https://arxiv.org/abs/2511.01815
1•walterbell•22m ago•0 comments

A quantitative, multimodal wearable bioelectronic device for stress assessment

https://www.nature.com/articles/s41467-025-67747-9
1•PaulHoule•23m ago•0 comments

Why Big Tech Is Throwing Cash into India in Quest for AI Supremacy

https://www.wsj.com/world/india/why-big-tech-is-throwing-cash-into-india-in-quest-for-ai-supremac...
1•saikatsg•24m ago•0 comments

How to shoot yourself in the foot – 2026 edition

https://github.com/aweussom/HowToShootYourselfInTheFoot
1•aweussom•24m ago•0 comments

Eight More Months of Agents

https://crawshaw.io/blog/eight-more-months-of-agents
3•archb•26m ago•0 comments

From Human Thought to Machine Coordination

https://www.psychologytoday.com/us/blog/the-digital-self/202602/from-human-thought-to-machine-coo...
1•walterbell•26m ago•0 comments

The new X API pricing must be a joke

https://developer.x.com/
1•danver0•27m ago•0 comments

Show HN: RMA Dashboard fast SAST results for monorepos (SARIF and triage)

https://rma-dashboard.bukhari-kibuka7.workers.dev/
1•bumahkib7•28m ago•0 comments

Show HN: Source code graphRAG for Java/Kotlin development based on jQAssistant

https://github.com/2015xli/jqassistant-graph-rag
1•artigent•33m ago•0 comments

Python Only Has One Real Competitor

https://mccue.dev/pages/2-6-26-python-competitor
4•dragandj•34m ago•0 comments

Tmux to Zellij (and Back)

https://www.mauriciopoppe.com/notes/tmux-to-zellij/
1•maurizzzio•35m ago•1 comments

Ask HN: How are you using specialized agents to accelerate your work?

1•otterley•36m ago•0 comments

Passing user_id through 6 services? OTel Baggage fixes this

https://signoz.io/blog/otel-baggage/
1•pranay01•37m ago•0 comments

DavMail Pop/IMAP/SMTP/Caldav/Carddav/LDAP Exchange Gateway

https://davmail.sourceforge.net/
1•todsacerdoti•38m ago•0 comments

Visual data modelling in the browser (open source)

https://github.com/sqlmodel/sqlmodel
1•Sean766•40m ago•0 comments

Show HN: Tharos – CLI to find and autofix security bugs using local LLMs

https://github.com/chinonsochikelue/tharos
1•fluantix•40m ago•0 comments

Oddly Simple GUI Programs

https://simonsafar.com/2024/win32_lights/
1•MaximilianEmel•40m ago•0 comments

The New Playbook for Leaders [pdf]

https://www.ibli.com/IBLI%20OnePagers%20The%20Plays%20Summarized.pdf
1•mooreds•41m ago•1 comments

Interactive Unboxing of J Dilla's Donuts

https://donuts20.vercel.app
1•sngahane•42m ago•0 comments

OneCourt helps blind and low-vision fans to track Super Bowl live

https://www.dezeen.com/2026/02/06/onecourt-tactile-device-super-bowl-blind-low-vision-fans/
1•gaws•44m ago•0 comments

Rudolf Vrba

https://en.wikipedia.org/wiki/Rudolf_Vrba
1•mooreds•44m ago•0 comments

Autism Incidence in Girls and Boys May Be Nearly Equal, Study Suggests

https://www.medpagetoday.com/neurology/autism/119747
1•paulpauper•45m ago•0 comments

Wellness Hotels Discovery Application

https://aurio.place/
1•cherrylinedev•46m ago•1 comments
Open in hackernews

Ask HN: What are your thoughts on LLMs and user privacy?

5•eniz•8mo ago
I'm increasingly curious about user privacy when it comes to hosted LLM usage. Many popular LLM apps and APIs require sending your prompts, messages, and potentially sensitive information to remote servers for processing—sometimes routed through multiple third-party providers.

- How much do you trust major LLM providers (OpenAI, Anthropic, Google, etc.) with your data?

- For those working on or deploying LLM applications, what approaches do you take to maximize user privacy?

- Do you think end users are generally aware of where their data is going and how it's being used, or is this still an overlooked issue?

I'd love to hear your perspectives, experiences, or any best practices you recommend on privacy when deploying LLM-powered use cases.

Comments

JohnFen•8mo ago
> How much do you trust major LLM providers (OpenAI, Anthropic, Google, etc.) with your data?

I have zero trust in these companies on this count, and that's the main reason why I avoid using products that incorporate "AI".

scarface_74•8mo ago
But you trust Google, Gmail and a host of other online service providers? How do you know that Google isn’t using your email to train? You either have to trust your service providers or don’t use them.

This is like the early days when people didn’t trust buying things over the internet

throwaway519•8mo ago
> This is like the early days when people didn’t trust buying things over the internet

If you like bad analogies, why not do car analogies? For example, at least this one's accurate:

I wouldn't trust Sam Altman any more than a used car salesman. The only difference is, Sam Altman's persuaded me to pay him to sell me as a the product.

scarface_74•8mo ago
But you’re already trusting Google I assume with your data or Apple who is training AI models. There is no diffeevcd
throwaway519•8mo ago
Victim to Google indeed if I email someone at GMail.

I do not use Apple devices, and I do not use Google services. While certainly not the majority, I don't this is that an unusual position on HN.

scarface_74•8mo ago
You think the majority of HN is that much different than the rest of the population that uses either iPhones or Android devices running stock Android?
Bender•8mo ago
I think combining LLM's with big-data was the most genius way to extract highly secret and sensitive information from individuals, intellectual property from companies, secrets from governments and military operations, pillow talk from executives and politicians. I could not have come up with a better way to burn it all down given all of these secrets will "leak" at some point. I fully expect it to become a master of manipulation especially for those that think their LLM is their significant other. Social media manipulation algorithms will be supplanted by AI.
fosco•8mo ago
I think it’s terrible, I asked one to find a picture I thought was copied to me from somewhere was a quote not knowing it was made by that person.

The LLM uploaded to internet and “found” the exact picture stating it didn’t exist anywhere else, that source is still viewable on the internet despite me immediately submitting a request to remove. It’s not private but I felt like I’d been had.

greyjoyduck•8mo ago
It's kind of a nightmare as of right now considering they are basically processing any data they can get their hands on