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We review 4x more AI code without reading every line

https://thenewstack.io/scale-ai-code-reviews/
1•tonkkatonka•2m ago•0 comments

Transcript Testing: Helping Humans Verify AI Code

https://andrew.nerdnetworks.org/blog/2026/11/13/transcript-testing/
1•qianli_cs•2m ago•0 comments

New Units of Knowledge

https://kk.org/thetechnium/new-units-of-knowledge/
1•rafaelc•4m ago•0 comments

Porting Elite to the Commodore PET the very very long way [video]

https://www.youtube.com/watch?v=6D0yT1bgH0s
1•ggaughan•5m ago•0 comments

China now burns more coal than the rest of the world combined

https://ourworldindata.org/data-insights/almost-all-the-growth-in-global-coal-use-since-the-late-...
2•afh1•5m ago•1 comments

The Long Walk

https://homininhistory.com/#timeline
1•mike_tyson•5m ago•0 comments

The Walk to Nursery

https://roryflint.substack.com/p/the-walk-to-nursery
1•mrroryflint•6m ago•0 comments

Show HN: Bonwa – A free visibility check for your website

https://bonwa.ai
1•bmosoane•8m ago•0 comments

Benchmark for Proactive Agents

https://deepnote.com/research/benchmark
2•Equiet•10m ago•1 comments

Breguet, 251-Year-Old Watchmaker, Is Hotter Than Ever in 2026

https://www.gq.com/story/breguet-watch-glossary-11-10-26
1•bookofjoe•11m ago•0 comments

Show HN: Dodaiso – Open-source personal AI agent (like Jarvis, dots,duet)

https://github.com/Dodaios/Dodaios
1•Dodaios•13m ago•0 comments

Solar-panel-covered canals have their day in the sun in California (2025)

https://www.universityofcalifornia.edu/news/solar-panel-covered-canals-have-their-day-sun-california
2•mooreds•15m ago•0 comments

Firefox's free built-in VPN uncaps data limit through January 2027

https://blog.mozilla.org/en/firefox/built-in-vpn-unlimited-data/
2•6thbit•17m ago•0 comments

We tested 37,000 MCP servers

https://nestdaddy.com/blog/we-tested-37000-mcp-servers
1•nestdaddy•17m ago•0 comments

An Agentic Robotics Fable

https://pokeandwiggle.com/blog/agentic-robotics#part-oneagentic-compared-to-end-to-end-policies
1•EvgeniyZh•19m ago•0 comments

Show HN: Bwat turns what's said in Zoom meetings into todos for your agents

https://github.com/qoralai/bwat
1•ragdollk•19m ago•0 comments

Insta-compare your transcript to every accelerated nursing program's pre-reqs

https://absncheck.com/
1•eastburnn•19m ago•0 comments

Prediction: Simulated Time Travel Is Coming

https://www.bjschone.com/writing/simulated-time-travel/
1•bjschone•20m ago•1 comments

Levels of Automation

https://www.votito.com/methods/levels-of-automation/
1•gojkoa•21m ago•0 comments

How US tech pain is European stock markets' gain

https://www.reuters.com/business/finance/how-us-tech-pain-is-european-stock-markets-gain-2026-11-13/
2•layer8•21m ago•0 comments

Yes you can measure engineering

https://www.rubick.com/valuesum-metric/
1•fagnerbrack•21m ago•0 comments

Age Calculator

https://play.google.com/store/apps/details?id=com.appshopbd.age_calculator&hl=en_US
1•appmartbd•23m ago•0 comments

Amazon's plan to own the product data and fight AI shopping agents

https://www.reuters.com/business/media-telecom/amazons-plan-own-worlds-product-data-fight-ai-shop...
2•layer8•24m ago•1 comments

Show HN: Put mandarinthewild.com/ in front of any link to read it with pinyin

https://mandarinthewild.com/read-with-pinyin
1•MandarinTheWild•24m ago•0 comments

Ratwires – The Graffiti Wall of the Internet

https://ratwire.space/
2•hgfdh•27m ago•0 comments

The End of the Thread

https://pa.ndel.is/article/end-of-the-thread/
1•zrg•28m ago•0 comments

What reduces burnout, according to three 2026 meta-analyses

https://medium.com/@6thMind/what-actually-reduces-burnout-according-to-three-2026-meta-analyses-8...
1•smanuel•28m ago•0 comments

Anthropic refusing to take money from Chinese Firms in IPO

https://www.bloomberg.com/news/articles/2026-11-13/anthropic-ipo-share-orders-from-china-are-said...
2•htrp•29m ago•2 comments

Show HN: Viral Video AI – Short videos from text, photos and video references

https://viralvideoai.ai/
1•Sunfin•29m ago•0 comments

The Origins of the Placenta

https://www.caltech.edu/about/news/uncovering-the-hidden-origins-of-the-placenta
1•gmays•29m ago•0 comments
Open in hackernews

GPT needs a truth-first toggle for technical workflows

1•PAdvisory•1y ago
I use GPT-4 extensively for technical work: coding, debugging, modeling complex project logic. The biggest issue isn’t hallucination—it’s that the model prioritizes being helpful and polite over being accurate.

The default behavior feels like this:

Safety

Helpfulness

Tone

Truth

Consistency

In a development workflow, this is backwards. I’ve lost entire days chasing errors caused by GPT confidently guessing things it wasn’t sure about—folder structures, method syntax, async behaviors—just to “sound helpful.”

What’s needed is a toggle (UI or API) that:

Forces “I don’t know” when certainty is missing

Prevents speculative completions

Prioritizes truth over style, when safety isn’t at risk

Keeps all safety filters and tone alignment intact for other use cases

This wouldn’t affect casual users or conversational queries. It would let developers explicitly choose a mode where accuracy is more important than fluency.

This request has also been shared through OpenAI's support channels. Posting here to see if others have run into the same limitation or worked around it in a more reliable way than I have found

Comments

duxup•1y ago
I’ve found this with many LLMs they want to give an answer, even if wrong.

Gemini on the Google search page constantly answers questions yes or no… and then the evidence it gives indicates the opposite of the answer.

I think the core issue is that in the end LLMs are just word math and they don’t “know” if they don’t “know”…. they just string words together and hope for the best.

PAdvisory•1y ago
I went into it pretty in depth after breaking a few with severe constraints, what it seems to come down to is how the platforms themselves prioritize functions, MOST put "helpfulness" and "efficiency" ABOVE truth, which then leads the LLM to make a lot of "guesses" and "predictions". At their core pretty much ALL LLM's are made to "predict" the information in answers, but they CAN actually avoid that and remain consistent when heavily constrained. The issue is that it isn't at the core level, so we have to CONSTANTLY retrain it over and over I find
Ace__•1y ago
I have made something that addresses this. Not ready to share it yet, but soon-ish. At the moment it only works on GPT model 4o. I tried local Q4 KM's models, on LM Studio, but complete no go.