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We Scanned an AI Assistant for Security Issues: 12,465 Vulnerabilities

https://codeslick.dev/blog/openclaw-security-audit
1•vitorlourenco•31s ago•0 comments

Amazon no longer defend cloud customers against video patent infringement claims

https://ipfray.com/amazon-no-longer-defends-cloud-customers-against-video-patent-infringement-cla...
1•ffworld•58s ago•0 comments

Show HN: Medinilla – an OCPP compliant .NET back end (partially done)

https://github.com/eliodecolli/Medinilla
2•rhcm•4m ago•0 comments

How Does AI Distribute the Pie? Large Language Models and the Ultimatum Game

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6157066
1•dkga•4m ago•1 comments

Resistance Infrastructure

https://www.profgalloway.com/resistance-infrastructure/
2•samizdis•8m ago•0 comments

Fire-juggling unicyclist caught performing on crossing

https://news.sky.com/story/fire-juggling-unicyclist-caught-performing-on-crossing-13504459
1•austinallegro•9m ago•0 comments

Restoring a lost 1981 Unix roguelike (protoHack) and preserving Hack 1.0.3

https://github.com/Critlist/protoHack
2•Critlist•10m ago•0 comments

GPS and Time Dilation – Special and General Relativity

https://philosophersview.com/gps-and-time-dilation/
1•mistyvales•14m ago•0 comments

Show HN: Witnessd – Prove human authorship via hardware-bound jitter seals

https://github.com/writerslogic/witnessd
1•davidcondrey•14m ago•1 comments

Show HN: I built a clawdbot that texts like your crush

https://14.israelfirew.co
2•IsruAlpha•16m ago•2 comments

Scientists reverse Alzheimer's in mice and restore memory (2025)

https://www.sciencedaily.com/releases/2025/12/251224032354.htm
1•walterbell•19m ago•0 comments

Compiling Prolog to Forth [pdf]

https://vfxforth.com/flag/jfar/vol4/no4/article4.pdf
1•todsacerdoti•20m ago•0 comments

Show HN: Cymatica – an experimental, meditative audiovisual app

https://apps.apple.com/us/app/cymatica-sounds-visualizer/id6748863721
1•_august•22m ago•0 comments

GitBlack: Tracing America's Foundation

https://gitblack.vercel.app/
2•martialg•22m ago•0 comments

Horizon-LM: A RAM-Centric Architecture for LLM Training

https://arxiv.org/abs/2602.04816
1•chrsw•22m ago•0 comments

We just ordered shawarma and fries from Cursor [video]

https://www.youtube.com/shorts/WALQOiugbWc
1•jeffreyjin•23m ago•1 comments

Correctio

https://rhetoric.byu.edu/Figures/C/correctio.htm
1•grantpitt•23m ago•0 comments

Trying to make an Automated Ecologist: A first pass through the Biotime dataset

https://chillphysicsenjoyer.substack.com/p/trying-to-make-an-automated-ecologist
1•crescit_eundo•27m ago•0 comments

Watch Ukraine's Minigun-Firing, Drone-Hunting Turboprop in Action

https://www.twz.com/air/watch-ukraines-minigun-firing-drone-hunting-turboprop-in-action
1•breve•28m ago•0 comments

Free Trial: AI Interviewer

https://ai-interviewer.nuvoice.ai/
1•sijain2•28m ago•0 comments

FDA intends to take action against non-FDA-approved GLP-1 drugs

https://www.fda.gov/news-events/press-announcements/fda-intends-take-action-against-non-fda-appro...
21•randycupertino•30m ago•12 comments

Supernote e-ink devices for writing like paper

https://supernote.eu/choose-your-product/
3•janandonly•32m ago•0 comments

We are QA Engineers now

https://serce.me/posts/2026-02-05-we-are-qa-engineers-now
1•SerCe•32m ago•0 comments

Show HN: Measuring how AI agent teams improve issue resolution on SWE-Verified

https://arxiv.org/abs/2602.01465
2•NBenkovich•32m ago•0 comments

Adversarial Reasoning: Multiagent World Models for Closing the Simulation Gap

https://www.latent.space/p/adversarial-reasoning
1•swyx•33m ago•0 comments

Show HN: Poddley.com – Follow people, not podcasts

https://poddley.com/guests/ana-kasparian/episodes
1•onesandofgrain•41m ago•0 comments

Layoffs Surge 118% in January – The Highest Since 2009

https://www.cnbc.com/2026/02/05/layoff-and-hiring-announcements-hit-their-worst-january-levels-si...
13•karakoram•41m ago•0 comments

Papyrus 114: Homer's Iliad

https://p114.homemade.systems/
1•mwenge•41m ago•1 comments

DicePit – Real-time multiplayer Knucklebones in the browser

https://dicepit.pages.dev/
1•r1z4•41m ago•1 comments

Turn-Based Structural Triggers: Prompt-Free Backdoors in Multi-Turn LLMs

https://arxiv.org/abs/2601.14340
2•PaulHoule•43m ago•0 comments
Open in hackernews

Built a tool to decode cocktail menus to stop ordering drinks I don't like

https://sipcandy.lovable.app/
2•buildandbrew•1mo ago

Comments

buildandbrew•1mo ago
I like going out to eat, but I’m surprisingly bad at knowing what I’ll actually like just from cocktail menu descriptions. I kept asking bartenders things like “is this sweet?” or “what’s this similar to?” and eventually decided to see if I could build something to help myself.

I put together a browser-based tool where you take a photo of a cocktail menu and get simple, plain-language flavor descriptions for each drink, along with a few similar cocktail suggestions.

I built this after dinner last week so no signup, no accounts needed. Mostly curious whether this approach makes sense or if there are obvious flaws I’m missing.

D-Machine•1mo ago
I like the idea and site design, but don't have a menu on hand to test it out.

Having gotten into cocktails recently, it really only takes buying a few bottles and trying e.g. the top 50 or so most popular cocktails from a proper site like Difford's Guide to see that basically everything is a minor variation on the same base 5-12 or so cocktails. Which in practice means if you learn to make the 20 most historically-popular cocktails, you basically know enough to predict fairly accurately what an arbitrary cocktail is going to taste like.

There really aren't that many base spirits and/or liqueurs, and the financial (and time) cost of learning these things yourself is a mere fraction of what it takes to learn from going to bars or restaurants, and can be done in about 1-2 months max (assuming you make 1-2 cocktails a night, anyway). I also kind of feel like normies and/or regular cocktail samplers quickly figure out this stuff too, even just ordering at bars and etc., so I dunno that an app adds much here or who the audience would be.

Still, enjoyed the post.

EDIT: What I suppose is maybe unclear: If you are using the app regularly, you are sampling cocktails regularly, and, very quickly, in my experience, you will learn to predict cocktail profiles in this case, rendering the app irrelevant, as predicting the profile is very easy. There might be a use case for the app if you have never tried more than e.g. 5 cocktails, but, in that case, you probably also don't know your profile preferences either, so, I dunno, it just doesn't have a clear use case for me.

buildandbrew•1mo ago
Thanks for this. totally agree that for anyone who’s actively getting into cocktails or making them at home, you’ll quickly learn your preferences and a tool like this probably adds very little.

I was thinking more about an in-the-moment context. I was out to dinner, staring at a menu, and realized something like this would have helped right then, even with a basic understanding of cocktails.

Appreciate you taking the time to share your perspective.

D-Machine•1mo ago
Yup for sure, and good point. If you can do the SEO and make sure your app comes up in spur-of-the-moment searches, there's your use-case.