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Show HN: Stacky – certain block game clone

https://www.susmel.com/stacky/
2•Keyframe•3m ago•0 comments

AIII: A public benchmark for AI narrative and political independence

https://github.com/GRMPZQUIDOS/AIII
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SectorC: A C Compiler in 512 bytes

https://xorvoid.com/sectorc.html
1•valyala•4m ago•0 comments

The API Is a Dead End; Machines Need a Labor Economy

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Digital Iris [video]

https://www.youtube.com/watch?v=Kg_2MAgS_pE
1•Jyaif•6m ago•0 comments

New wave of GLP-1 drugs is coming–and they're stronger than Wegovy and Zepbound

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Show HN: Tasty A.F.

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The Contagious Taste of Cancer

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U.S. Jobs Disappear at Fastest January Pace Since Great Recession

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1•alephnerd•12m ago•0 comments

Bithumb mistakenly hands out $195M in Bitcoin to users in 'Random Box' giveaway

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Beyond Agentic Coding

https://haskellforall.com/2026/02/beyond-agentic-coding
3•todsacerdoti•14m ago•0 comments

OpenClaw ClawHub Broken Windows Theory – If basic sorting isn't working what is?

https://www.loom.com/embed/e26a750c0c754312b032e2290630853d
1•kaicianflone•16m ago•0 comments

OpenBSD Copyright Policy

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OpenClaw Creator: Why 80% of Apps Will Disappear

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What Happens When Technical Debt Vanishes?

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AI Is Finally Eating Software's Total Market: Here's What's Next

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Computer Science from the Bottom Up

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Show HN: A toy compiler I built in high school (runs in browser)

https://vire-lang.web.app
1•xeouz•24m ago•1 comments

You don't need Mac mini to run OpenClaw

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Learning to Reason in 13 Parameters

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Convergent Discovery of Critical Phenomena Mathematics Across Disciplines

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Ask HN: Will GPU and RAM prices ever go down?

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Substack makes money from hosting Nazi newsletters

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6•mindracer•29m ago•0 comments

A New Crypto Winter Is Here and Even the Biggest Bulls Aren't Certain Why

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Show HN: Built an space travel calculator with vanilla JavaScript v2

https://www.cosmicodometer.space/
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Why a 175-Year-Old Glassmaker Is Suddenly an AI Superstar

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1•Brajeshwar•31m ago•0 comments
Open in hackernews

Ask HN: Are LLMs just expensive search and scripting tools? Is it that simple?

6•edwin2•2mo ago
Can all of LLMs be summarized as a (currently) really expensive search that allows you to express nuanced queries and script the output of the search? Why or why not?

Take code. In a sense, StackOverflow is about finding a code snippet for an already solved problem. Auto complete does the same kind of search in a sense.

Take generative text. In a sense that’s the equivalent of making a query and then aggregating the many results into one phrase. You could imagine the bot searching 1,000 websites and then taking the average of the answers to the query and then outputting the result.

Does every LLM use case fit the following pattern?…

query —-> LLM does its work —-> result —> script of result (optional)

Comments

minimaxir•2mo ago
You're being reductive to the point that you're saying "LLMs are an algorithm like auto complete/search engine, therefore they're the same."

That's not how it works. They're different approaches to how they handle the same inputs.

edwin2•2mo ago
i would totally agree that they’re different approaches

i wouldn’t conclude “therefore they’re the same”. they’re clearly not the same

if it’s a different approach to search and scripting, does that not mean it is a kind of search and scripting?

adocomplete•2mo ago
It's even simpler. It's just 1's and 0's.
Sevii•2mo ago
No LLMs are not 'search'. Search as in google or a database query is deterministic. Are there results for x query? If there are we can return them. If there aren't we can't return anything.

LLMs do not work that way. LLMs do not have a conception of facts. Any query you make to an LLM has an output. The quality of that output depends on the training data. For high probability output you might think the LLM is returning the correct 'facts'. For low probability output you might think the LLM is hallucinating.

LLMs are not search. They are a fundamentally different thing from search. Most code is 100% deterministic. The program is executed exactly in order. LLMs are not 100% deterministic.

andrei_says_•2mo ago
One way to think of LLM output is that it is all hallucination. Sometimes it happens to coincide with reality.

To an LLM it’s all the same as there’s no relationship to reality, just to likelihood to reality.

It’s the difference between “this is something that Peter might say” and “this is something that Peter said”. To LLMs there’s no distinction.

apothegm•2mo ago
No. LLMs are NLP engines.

LLM-based chatbots can be used as mediocre, hallucination-prone search engines if you so choose. They’re especially bad if the answer you’re looking for is not an average of “collective wisdom” or opinion but a very specific fact that needs to be distinguished from other similar or related but ultimately very different facts. And even worse if the fact you’re looking for is not among the more frequently discussed ones in that cluster of similar or related facts.