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Ask HN: When will the AI version of 911 happen?

2•dfps•2m ago•0 comments

There Are Only Four Billion Floats–So Test Them All (2014)

https://randomascii.wordpress.com/2014/01/27/theres-only-four-billion-floatsso-test-them-all/
1•downbad_•4m ago•0 comments

Show HN: Cordial — Roblox on Linux, Fully Open source, Yours

https://github.com/luohoa97/cordial
2•neil_luo•6m ago•1 comments

Buğuyu Silmeden Manzarayı Göremezsin

https://ruhumdan.substack.com/p/buguyu-silmeden-manzaray-goremezsin
1•Banuche•8m ago•0 comments

China's free Kimi K3 AI model shakes up global tech market

https://restofworld.org/2026/china-moonshot-kimi-k3-free-sovereign-ai/
2•donohoe•8m ago•0 comments

Agreement Is Not Understanding

https://ianberdin.com/essays/agreement-is-not-understanding
1•ianberdin•10m ago•0 comments

See in yourself. Then, evolve at sleek.silisleek.com

2•silisleek•13m ago•1 comments

Show HN: How I learn and review jargon of different fields nowadays

https://jargon-gym.vercel.app
1•behnamazimi•16m ago•0 comments

Giving and taking credit in big tech companies

https://www.seangoedecke.com/giving-and-taking-credit/
1•lalitmaganti•16m ago•0 comments

Designing APIs for Agents

https://webflow.com/blog/designing-apis-for-agents
1•msolujic•16m ago•0 comments

Show HN: Loop-me – my simple generative art loop project

https://john-paul-ruf.github.io/loop-me/
3•john_paul_ruf•20m ago•0 comments

Twenty Years of RISC OS Open

https://www.riscosopen.org/news/articles/2026/06/20/twenty-years-of-risc-os-open
10•AlexeyBrin•23m ago•0 comments

F*: A general-purpose proof-oriented programming language

https://fstar-lang.org/
2•ducktective•28m ago•0 comments

An exam leak in India exposed a Gen Z jobs crisis that goes much deeper

https://www.cnbc.com/2026/08/02/india-exam-leak-protests-jobs-crisis-gen-z-unemployment-modi.html
3•cramer4next•32m ago•0 comments

The future is for everyone [video]

https://www.youtube.com/watch?v=JlRgRmAqoAc
1•firstSpeaker•32m ago•0 comments

When Verification Explores Too Far: LLM Test Coverage vs. Validity

https://zenodo.org/records/21758550
1•haitamk•32m ago•0 comments

Show HN: DesktopAudio, a tool to record what your Mac plays

https://desktopaudio.app/
1•AquiGorka•33m ago•0 comments

The TEMU-Fication of Software, Digital Goods and Services

https://xn--gckvb8fzb.com/the-temu-fication-of-software-digital-goods-services/
3•wrxd•38m ago•0 comments

Show HN: Handoff is await human() for AI agents

https://github.com/OmegaAgent/handoff
1•LivingGlitcher•38m ago•1 comments

Transformer Models in Financial Forecasting: Outperforming LSTMs

https://algo-finance.com/ai/machine-learning/transformer-models-financial-forecasting-2026/
1•anonymoussala•39m ago•0 comments

Velocity a proof of linear-scaling long context for existing LLMs, no retraining

https://github.com/Veloresearch/velocity-mta-proof
1•Veloresearch•42m ago•0 comments

An AI TikTok Shop Slop Factory That Shills Supplements the FDA Recalled

https://www.404media.co/inside-an-ai-tiktok-shop-slop-factory-that-shills-supplements-recalled-by...
1•Dfol•42m ago•0 comments

The Simple Elegance of the Integrated Timing Belt Loopback Fastener

https://danielmangum.com/posts/integrated-timing-belt-loopback-fastener/
1•hasheddan•44m ago•0 comments

Show HN: Type a formula, watch it become Clique, Hamiltonian Cycle, and Knapsack

https://aidoctrine.github.io/np-complete-universe/
1•AlekseN•46m ago•0 comments

Don't Take the Black Pill (Text Adaptation)

https://andrewkelley.me/post/dont-take-black-pill.html
1•Tomte•48m ago•0 comments

Shadscan – Deterministic UI Audits for Shadcn Apps

https://github.com/TheOrcDev/shadscan
1•javatuts•50m ago•0 comments

MapLibre GL JavaScript – WebGL library for interactive vector maps

https://maplibre.org/maplibre-gl-js/docs/
1•javatuts•50m ago•0 comments

Will Self-Hosted Local AI Go Mainstream, or Stay a Niche for Nerds?

https://grigio.org/will-self-hosted-local-ai-go-mainstream-or-stay-a-niche-for-nerds/
1•grigio•51m ago•2 comments

JavaScript Obfuscator

https://www.jstools.space/js-obfuscator/
1•javatuts•51m ago•0 comments

GPUs could explode to multiple TB with new storage-inspired memory tech

https://www.theregister.com/storage/2026/07/30/gpus-could-explode-to-multiple-tb-with-new-storage...
3•jacquesm•53m ago•2 comments
Open in hackernews

Only 8.9% of sites block AI crawlers, but 94.8% are never cited in AI answers

https://website-auditor.io/ai-visibility-index
24•SpikeyCoder•1h ago

Comments

ButlerianJihad•28m ago
It is architecturally impossible for an LLM to associate a link or citation that it crawled with a response that comes out the other end. Every link they're giving you to support their statements is tacked on because it may vaguely match the tokens it just generated. It is perfectly common to find that a "source" does not contain the statements. You cannot expect an LLM to write you a Wikipedia article, much less a legal or medical opinion supported by research.
freedomben•25m ago
For standard responses you're not wrong, but increasingly there are a lot of LLMS that are essentially doing RAG against search results. For example this is I believe how Kagi works, and Google AI overviews. I have increasingly seen Claude and chat GPT also doing the same thing where instead of answering a question from the knowledge Bank they will do a web search and cite the responses that were used.
SecretDreams•23m ago
Lol, this same behavior comes up more often than you'd expect in academia too. Many many citations that nobody cross checks that also don't support the originally cited piece of information.
pfdietz•9m ago
It's hilariously common online as well. Bullshitter makes a claim, someone calls them on the BS, they put up a link, and (lo and behold) the link when examined does nothing to defend the claim. Often the link directly contradicts the claim.
SecretDreams•8m ago
Yep..the online link posters hit close to home. Big reason I hardly even engage in discourse anymore. Got tired of verifying links that don't have the claimed content in them.
anon373839•14m ago
This is true, but good LLMs (even local, consumer-sized ones these days) can do this much better than … whatever it is that Google’s AI overviews use.

Think about your coding harness: the model reads a bunch of files into the context, and it generally doesn’t forget/hallucinate which lines came from which file.

chollida1•14m ago
> It is architecturally impossible for an LLM to associate a link or citation that it crawled with a response that comes out the other end.

I mean, its not. Lots of LLM's focused on finance do this already.

Bloomberg's own ASKB produces results and provides links back to the source documents or urls that it references so people who care about correctness can verify the results.

jefftk•13m ago
You can do it the same way human does: recall a fact from memory, and then search to identify a citation. The citation isn't "here's why I think this" but instead "here's where you can verify this".
amelius•11m ago
Then the least they can do is cite ALL their sources. At least somewhere on their website.
WarmWash•10m ago
This is why it's dumb when inferencing with a model to ask "...and cite all sources". Total waste of time and likely to make the response worse.

BUT

On models with web search, they can scan the sources in context, and those are pretty good at correct citations. However it's still a "trust, but verify" situation.

eterm•25m ago
Are we saying that it's now a problem that we're not getting scraped?

This appears to be a new generation of "SEO", marking itself as a service for getting into AI results?

This is not the future I want to be a part of.

Perhaps it's inevitable that after a break from everything being driven by money that LLMs will now be ruined by people spending $X to get into AI to make back $X+1, leading to an arms race of ever increasing X, to the detriment of users.

josh-wrale•16m ago
Makes me wonder if paid Medium and paid news is input to AI training. Surely, they are.
pfdietz•11m ago
> 94.8%

This seems consistent with Sturgeon's Law.

mohamedkoubaa•10m ago
We don't have a page rank mechanism. Most likely people are paying or threatening AI companies to boost certain sources as authoritative
lorreyfum•6m ago
Call it web 4.0
brookst•4m ago
This is a weird complaint.

Let’s say I ask “who created Linux?” Claude correctly tells me Linus Torvalds, and links to Wikipedia.

There are probably thousands, maybe hundreds of thousands of other sites that have that some piece of information. Are LLMs supposed to link to every site?

Most sites do not have unique information at all, and even sites that do rarely contain only unique information. Implying that most sites deserve links because they were crawled seems like a statistical fallacy. You could say the same thing about the percent of sites crawled by Google versus ever showing up on first page of results.

DrDeese•2m ago
I wouldn't even consider it a complaint. For a builder, I would consider it an opportunity...