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Anthropic: Latest Claude model finds more than 500 vulnerabilities

https://www.scworld.com/news/anthropic-latest-claude-model-finds-more-than-500-vulnerabilities
1•Bender•4m ago•0 comments

Brooklyn cemetery plans human composting option, stirring interest and debate

https://www.cbsnews.com/newyork/news/brooklyn-green-wood-cemetery-human-composting/
1•geox•4m ago•0 comments

Why the 'Strivers' Are Right

https://greyenlightenment.com/2026/02/03/the-strivers-were-right-all-along/
1•paulpauper•6m ago•0 comments

Brain Dumps as a Literary Form

https://davegriffith.substack.com/p/brain-dumps-as-a-literary-form
1•gmays•6m ago•0 comments

Agentic Coding and the Problem of Oracles

https://epkconsulting.substack.com/p/agentic-coding-and-the-problem-of
1•qingsworkshop•7m ago•0 comments

Malicious packages for dYdX cryptocurrency exchange empties user wallets

https://arstechnica.com/security/2026/02/malicious-packages-for-dydx-cryptocurrency-exchange-empt...
1•Bender•7m ago•0 comments

Show HN: I built a <400ms latency voice agent that runs on a 4gb vram GTX 1650"

https://github.com/pheonix-delta/axiom-voice-agent
1•shubham-coder•8m ago•0 comments

Penisgate erupts at Olympics; scandal exposes risks of bulking your bulge

https://arstechnica.com/health/2026/02/penisgate-erupts-at-olympics-scandal-exposes-risks-of-bulk...
3•Bender•8m ago•0 comments

Arcan Explained: A browser for different webs

https://arcan-fe.com/2026/01/26/arcan-explained-a-browser-for-different-webs/
1•fanf2•10m ago•0 comments

What did we learn from the AI Village in 2025?

https://theaidigest.org/village/blog/what-we-learned-2025
1•mrkO99•10m ago•0 comments

An open replacement for the IBM 3174 Establishment Controller

https://github.com/lowobservable/oec
1•bri3d•12m ago•0 comments

The P in PGP isn't for pain: encrypting emails in the browser

https://ckardaris.github.io/blog/2026/02/07/encrypted-email.html
2•ckardaris•15m ago•0 comments

Show HN: Mirror Parliament where users vote on top of politicians and draft laws

https://github.com/fokdelafons/lustra
1•fokdelafons•15m ago•1 comments

Ask HN: Opus 4.6 ignoring instructions, how to use 4.5 in Claude Code instead?

1•Chance-Device•17m ago•0 comments

We Mourn Our Craft

https://nolanlawson.com/2026/02/07/we-mourn-our-craft/
1•ColinWright•19m ago•0 comments

Jim Fan calls pixels the ultimate motor controller

https://robotsandstartups.substack.com/p/humanoids-platform-urdf-kitchen-nvidias
1•robotlaunch•23m ago•0 comments

Exploring a Modern SMTPE 2110 Broadcast Truck with My Dad

https://www.jeffgeerling.com/blog/2026/exploring-a-modern-smpte-2110-broadcast-truck-with-my-dad/
1•HotGarbage•23m ago•0 comments

AI UX Playground: Real-world examples of AI interaction design

https://www.aiuxplayground.com/
1•javiercr•24m ago•0 comments

The Field Guide to Design Futures

https://designfutures.guide/
1•andyjohnson0•24m ago•0 comments

The Other Leverage in Software and AI

https://tomtunguz.com/the-other-leverage-in-software-and-ai/
1•gmays•26m ago•0 comments

AUR malware scanner written in Rust

https://github.com/Sohimaster/traur
3•sohimaster•28m ago•1 comments

Free FFmpeg API [video]

https://www.youtube.com/watch?v=6RAuSVa4MLI
3•harshalone•28m ago•1 comments

Are AI agents ready for the workplace? A new benchmark raises doubts

https://techcrunch.com/2026/01/22/are-ai-agents-ready-for-the-workplace-a-new-benchmark-raises-do...
2•PaulHoule•33m ago•0 comments

Show HN: AI Watermark and Stego Scanner

https://ulrischa.github.io/AIWatermarkDetector/
1•ulrischa•34m ago•0 comments

Clarity vs. complexity: the invisible work of subtraction

https://www.alexscamp.com/p/clarity-vs-complexity-the-invisible
1•dovhyi•35m ago•0 comments

Solid-State Freezer Needs No Refrigerants

https://spectrum.ieee.org/subzero-elastocaloric-cooling
2•Brajeshwar•35m ago•0 comments

Ask HN: Will LLMs/AI Decrease Human Intelligence and Make Expertise a Commodity?

1•mc-0•37m ago•1 comments

From Zero to Hero: A Brief Introduction to Spring Boot

https://jcob-sikorski.github.io/me/writing/from-zero-to-hello-world-spring-boot
1•jcob_sikorski•37m ago•1 comments

NSA detected phone call between foreign intelligence and person close to Trump

https://www.theguardian.com/us-news/2026/feb/07/nsa-foreign-intelligence-trump-whistleblower
14•c420•37m ago•2 comments

How to Fake a Robotics Result

https://itcanthink.substack.com/p/how-to-fake-a-robotics-result
1•ai_critic•38m ago•0 comments
Open in hackernews

Why Big Tech Can't Build a Precise Product Database – and Why We Did

2•CTMinfo•6mo ago
Everyone talks about Big Data. But when it comes to actual engineering, logistics, or international trade — the reality is noise, chaos, and duplication.

We built CTMinfo as an alternative paradigm: 100% verified, unambiguous, internationally standardized product data. Not predictions. Not AI guesswork. Just clean, structured, human-validated truth. The problem: Too many names for the same thing

Take an AA battery, for example.

It may be called:

    Duracell Basic AA (LR6/ER14505/FR6/R6P)

    GP Ultra AA (LR6/ER14505/FR6/R6P)

    Philips LR6E4B/97 AA
Same product. Dozens of names. Different catalog structures. Different classification systems.

This is just one category. There are 10,000+ product categories worldwide facing the same chaos. What we did differently

We introduced two concepts:

SmallData — not millions of dirty entries, but compact, human-verified data structures. OpenTech — logic that is explainable, verifiable, transparent. Not a black box.

Instead of collecting noise, we extract meaning. Each product gets a unique international code, e.g. 31-0015-5643-1002-002, which precisely describes:

    “Battery type AA, alkaline, 1.5 V, 1500 mAh”
This allows:

    universal search across manufacturers

    matching of real analogues

    complete catalog standardization

    clear link to real physical characteristics (voltage, composition, dimensions)
Why Big Tech can’t (and won’t) do this

Because their incentives are the opposite.

     They monetize ambiguity — the more similar products you see, the more ads you click.

     Their systems are built on AI approximations, not physical properties.

     They rely on scale, not structure — and can’t easily reverse course.
To build something like CTMinfo, you need:

    engineers who understand supply chains,

    people who’ve worked with customs, logistics, and real catalogs,

    and domain experts who verify each entry by hand.
No amount of machine learning will replace that. Is it scalable?

Yes — in a different way.

Our business model is simple:

    $1/month per verified product listing

    100% accuracy, no duplicates, no fuzzy logic

    Perfect for ERPs, customs, government procurement, science, and automation
Start with one category. Build trust. Expand.

Example: Just the AA/AAA battery market is $20B/year globally. Our verified database could cover it with 7 specialists in 1 year. And save millions in search, procurement, and error reduction. This is more than a catalog

This is a structural challenge to how information flows today.

CTMinfo is:

    beyond politics, beyond corporate influence

    a system where lying is technically impossible

    an open ontology of physical reality, built from real-world data
We're not here to guess what users meant. We describe what is.

Contact: Dmitriy Andriyanov ctminfocom@proton.me www.ctminfo.com Telegram: @ctminfocom