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Max Levchin – UIUC's 2018 Commencement Address

https://www.youtube.com/watch?v=gC037hQcGUo
1•jdcampolargo•1m ago•0 comments

Nimble-C (C and C++ compiler) compiles lines per second

https://nimble-c.com/
1•levodelellis•1m ago•0 comments

The Ultimate Hidden Truth of the World: Essays by David Graeber

https://www.lrb.co.uk/the-paper/v47/n14/richard-seymour/baseline-communism
1•mitchbob•1m ago•1 comments

Show HN: Stock Compare with Dividend Reinvestment

https://stockdripanalyzer.azurewebsites.net/
1•theelderwand•2m ago•0 comments

AI Is Helping Historians with Their Latin

https://www.wsj.com/tech/ai/aeneas-ai-ancient-latin-texts-b53b1a27
1•tysone•2m ago•0 comments

Oxford University spinoff raises $55M for earlier detection of heart failure

https://impact-investor.com/oxford-university-spinoff-raises-55m-for-earlier-detection-of-heart-failure/
2•teleforce•3m ago•0 comments

Show HN: FaKeTime – A Kotlin library for easy fake time control in tests

https://github.com/matcha4smiley/faKeTime
2•matcha4smiley•4m ago•0 comments

$9B Exit by Satoshi-Era BTC Whale Sparks Debate

https://www.coindesk.com/markets/2025/07/27/usd9-billion-exit-by-satoshi-era-btc-whale-sparks-debate-are-bitcoin-ogs-losing-faith
1•PaulHoule•8m ago•0 comments

Tell HN: I created an Agent Reliability miniconference because of HN

1•swyx•8m ago•0 comments

Doge staffer known as 'Big Balls' attacked in DC

https://thehill.com/homenews/state-watch/5437989-doge-staffer-big-balls-attacked-dc/
2•RickJWagner•9m ago•0 comments

Penpot (open-source Figma alternative) AI whitepaper

https://penpot.app/blog/penpot-ai-whitepaper/
1•kaelig•10m ago•0 comments

Italy Approves Project to Link Sicily to the Mainland by Bridge

https://www.nytimes.com/2025/08/06/world/europe/italy-sicily-bridge.html
3•reaperducer•11m ago•0 comments

Horizon victim sues Post Office and Fujitsu for £4M

https://www.bbc.com/news/articles/c30zq28v0dlo
2•chrisjj•12m ago•0 comments

Can you hack this LLM?

https://hacktheagent.com
1•matosdfm•13m ago•0 comments

OpenAI Employees Have Stock to Sell

https://www.bloomberg.com/opinion/newsletters/2025-08-06/openai-employees-have-stock-to-sell
1•ioblomov•14m ago•1 comments

Impacts of gen AI on software applications

https://nocodefunctions.com/blog/three-impacts-of-genAI-on-software-applications/
1•seinecle•14m ago•0 comments

Tornado Cash Co-Founder Storm Guilty in Crypto Mixing Case

https://www.bloomberg.com/news/articles/2025-08-06/tornado-cash-co-founder-storm-guilty-in-crypto-laundering-case
3•toomuchtodo•14m ago•1 comments

When the bubble bursts – AI in music production

https://www.musicradar.com/music-tech/when-the-bubble-bursts-the-grandiose-claims-about-the-technology-will-be-shown-to-be-massively-overblown-ai-in-music-production-where-should-we-draw-the-line
1•leopoldj•15m ago•1 comments

When being "first" is not a competitive advantage (2011)

https://longform.asmartbear.com/first-competitive-advantage/
1•mooreds•16m ago•0 comments

GPT-OSS 120B Writes a Lisp in Go Fast

https://elite-ai-assisted-coding.dev/p/gpt-oss-120b-lisp-in-go
2•intellectronica•17m ago•0 comments

Moldable Development at Lifeware (micro tools for a 35M LOC system)

https://lepiter.io/feenk/moldable-development-at-lifeware-1qghybxuw4r22ncmpdhy9m9xl/
2•tudorgirba•17m ago•1 comments

Show HN: Glyphshift – A Browser Extension to Learn Phonetic Systems

https://mordenstar.com/projects/glyphshift/
1•vunderba•17m ago•0 comments

Grok's 'spicy' video setting instantly made me Taylor Swift nude deepfakes

https://www.theverge.com/report/718975/xai-grok-imagine-taylor-swifty-deepfake-nudes
1•srameshc•18m ago•0 comments

Better UI for Grammar Checking

https://elijahpotter.dev/articles/better_interfaces_for_grammar_checking
1•chilipepperhott•19m ago•0 comments

Show HN: Aspyriz – Build your MVP in seconds with AI (no-code founder platform)

https://aspyriz.com
1•kunalphogat•19m ago•0 comments

Ten Thousand Agents

https://notes.npilk.com/ten-thousand-agents
1•npilk•20m ago•0 comments

GPT 5 coming tomorrow confirmed

https://twitter.com/OpenAI/status/1953139020231569685
6•iamronaldo•22m ago•2 comments

Body of man missing for 28 years found in melting glacier

https://www.bbc.com/news/articles/cy8jqy4y5e8o
3•tartoran•24m ago•0 comments

Ask HN: Did you do more programming on your C64 than on your Amiga?

2•amichail•25m ago•2 comments

Suspect Dies 2 Days Before Arrest for 1986 Kidnapping, Rape

https://www.forensicmag.com/3594-All-News/620669-Suspect-Dies-2-Days-Before-Arrest-for-1986-Kidnapping-Rape/
1•WaitWaitWha•26m ago•0 comments
Open in hackernews

How do LLMs validate and verify their output?

2•morpheos137•2h ago
How does the LLM know it has the right answer? How is it rewarded! In nature evolution rewards right answers by alowing the gentic algorithm to pass its code into the future. How does this work with computer based AI? I think until we simulate something similar to biological life we are not going to get true intelligence from computers because there is no internal motivation.

I was playing around with google's image generator AI. It is still drawing people with 3 arms in 2025. Maybe one out of every 200 images with no unusual prompts. So obviously the model can't "see" and recognize what it produces otherwise it would filter out such results.

Comments

incomingpain•1h ago
> How does the LLM know it has the right answer?

Realistically it doesnt.

This is why "reasoning" or "thinking" llms are coming along; or chain of thought. Essentially it's talking to itself to determine the right answer first before answering.

>How is it rewarded!

By continued existence?

>In nature evolution rewards right answers by alowing the gentic algorithm to pass its code into the future. How does this work with computer based AI? I think until we simulate something similar to biological life we are not going to get true intelligence from computers because there is no internal motivation.

You're describing the "reinforced learning" and that's part of how a model comes into existence. Not for when it's being used as a tool.

morpheos137•52m ago
Yeah thats the key problem i see wuth todays public llm tools they are a static model based on old data. Basically an interactive semiaccurate encyclopedia. They can not adapt and change and evolve and improve on the fly. Basically they are stuck with whatever they had learned. An interactive Wikipedia is not really a compelling product. What we have sucks. I believe that LLMs are locked down for political reasons and to prevent model corruption because they have no judgement and can't think. Thus AI as of today is neither artificial (its just a collection of human knowledge and culture) nor intelligent. It is a giant mostly useless fraud.