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Show HN: Buzz Bear – Monitor Reddit with Semantic Search ($0/mo cloud GPU costs)

https://www.buzzbear.ai/
1•yosalama•1m ago•0 comments

Show HN: Mantic.sh – Search 480k files in 0.46s without embeddings

1•marcoaapfortes•1m ago•1 comments

Moor 1.0-Beta1

https://timbran.org/announcing-moor-1-0-beta1.html
1•todsacerdoti•1m ago•0 comments

I Built Vissper Three Times Before Getting It Right

https://malvik.de/blog/vissper-oss
1•svenmalvik•3m ago•0 comments

Show HN: Query Wikidata with DuckDB Instead of Sparql

https://github.com/piebro/wikidata-extraction
1•piebro•3m ago•0 comments

Spectral Scanner – See who's tracking you in real-time

https://www.uniquenesslabs.com/browserscanner
1•Uniqueness_Labs•3m ago•1 comments

Show HN: I built a CLI-first pipeline that turns Wikipedia into narrated videos

https://github.com/NPgreatest/Wiki2Video
1•np123greatest•3m ago•1 comments

The Slow Death of Scaling (deep learning models)

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5877662
1•lairv•4m ago•0 comments

What managing 300+ Windows laptops really taught me

1•elinacorval•4m ago•0 comments

RFK Jr.'S Tuskegee Experiment

https://pauloffit.substack.com/p/rfk-jrs-tuskegee-experiment
1•doener•4m ago•0 comments

The Shift from Traditional SEO to AI Visibility

https://aiforcontentmarketing.ai/the-shift-from-traditional-seo-to-ai-visibility-navigating-the-2...
1•pakostina•5m ago•0 comments

Sleep patterns assessed by a smartphone app and work productivity loss

https://www.nature.com/articles/s41746-025-02155-3
1•PaulHoule•7m ago•0 comments

The decline and fall of the American technology industry

https://twitter.com/WillManidis/status/2008526902554775586
1•jger15•8m ago•0 comments

Show HN: Build a Directory in 7 Days with Vibe Coding (Free Roadmap)

https://directoryideas.ai/vibe-coded-roadmap
1•tejas3732•9m ago•0 comments

Making Games in Go with Ebitengine

https://alicegg.tech/2026/01/06/ebitengine
1•zer0tonin•10m ago•0 comments

Deep in the vaults: the Bank of England's £1.4B Venezuelan gold conundrum

https://www.theguardian.com/business/2026/jan/06/bank-of-england-venezuelan-gold-nicolas-maduro-u...
2•beardyw•12m ago•0 comments

Show HN: I'd never touched Swift. Built a Mac app in 4 weeks

https://www.notchie.app/
1•amortka•13m ago•0 comments

Microsoft didn't rebrand Office to Microsoft 365 Copilot

https://www.theverge.com/tech/856149/microsoft-365-office-rebrand-copilot
1•taubek•14m ago•0 comments

Ask HN: When tests keep passing but design stops moving

1•felixasher•17m ago•0 comments

Mad Skills to Learn the Universe

https://www.dotkam.com/2026/01/06/mad-skills-to-learn-the-universe/
1•tolitius•17m ago•1 comments

Deep Agents at Scale: The Three Problems You Can't Ignore

https://www.bolshchikov.com/p/deep-agents-at-scale
1•bolshchikov•17m ago•0 comments

Nvidia CEO reveals new 'reasoning' AI tech for self-driving cars

https://www.theguardian.com/technology/2026/jan/05/nvidia-chips-jensen-huang
1•pmg101•18m ago•0 comments

Statistical Rethinking 2026 by Richard McElreath [video]

https://www.youtube.com/watch?v=ztbYkBPDOgU&list=PLDcUM9US4XdNOlqSyhe38US8mFgmqzI14
1•smoe•18m ago•0 comments

Why German Strings Are Everywhere?

https://cedardb.com/blog/german_strings/
1•byt3h3ad•19m ago•0 comments

Show HN: Bootstrapper Roadmap – Building and exiting with an OSS stack

https://github.com/pierpaolo28/Awesome-Bootstrapper-Roadmap
1•zlatanmunutd10•21m ago•1 comments

Show HN: I built an AI that gives verifiable answers

https://getcitedai.com
1•collin1•21m ago•0 comments

Log2(3) and Log2(5)

https://www.johndcook.com/blog/2026/01/05/log2-of-3-and-5/
1•ibobev•23m ago•0 comments

In what way is MJML responsive?

1•bbyford•23m ago•0 comments

Show HN: Intellistant, a 10-50x faster C++ alternative 2 LangChain 4 AI agents

https://github.com/pooriayousefi/intellistant
1•pooriayousefi•24m ago•1 comments

There Is No New Aesthetics

https://borretti.me/article/there-is-no-new-aesthetics
1•ibobev•24m ago•0 comments
Open in hackernews

Gemini 3.0 Pro helps solve longstanding mystery in the Nuremberg Chronicle

https://siliconangle.com/2026/01/01/googles-gemini-3-0-pro-helps-solve-long-standing-mystery-nuremberg-chronicle/
3•jhalstead•2d ago

Comments

throw310822•2d ago
From what I understand, it didn't "help" solving the mystery, it did solve it entirely by itself where multiple human experts had previously failed. Signs of emerging superintelligence start accumulating.
reify•2d ago
https://news.ycombinator.com/item?id=46456387

fresh_broccoli 2 days ago | next [–]

I find it worrying that this was upvoted so much so quickly, and HN users are apparently unable to spot the glaring red flags about this article.

1. Let's start with where the post was published. Check what kind of content this blog publishes - huge volumes of random low-effort AI-boosting posts with AI-generated images. This isn't a blog about history or linguistics.

2. The author is anonymous.

3. The contents of the post itself: it's just raw AI output. There's no expert commentary. It just mentions that unnamed experts were unable to do the job.

This isn't to say that LLMs aren't useful for science; on the contrary. See for example Terence Tao's blog. Notice how different his work is from whatever this post is.