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Show HN: Agents can now create iOS Live Activities

https://twitter.com/kunalabcdani/status/2108353343089152106
2•kunal3•1m ago•0 comments

ADHD and autism at risk of over-diagnosis, says UK government review

https://www.bbc.com/news/articles/crkg7n1ypj24o
1•alephnerd•2m ago•0 comments

Using evals to cut AI errors 7x

https://hex.tech/blog/we-used-evals-to-improve-ai-feature/
2•izzymiller•3m ago•0 comments

Open d1: Edge decision models for text, vision, and audio

https://www.liquid.ai/blog/d1-open
1•gmays•4m ago•0 comments

Anthropic may start banning people for bullying Claude

https://twitter.com/wongmjane/status/2108266310492917916
1•nonfamous•5m ago•0 comments

Scale AI cut 89 tasks from SWE-Bench Pro after an audit found gaming

https://theinference.org/article/scale-ai-cut-89-tasks-from-its-coding-benchmark-after-an-audit-f...
1•richardttang•6m ago•0 comments

Timestamping a Giant Record of the Web

https://projecttimestamper.org/blog/common-crawl/
3•arthuredelstein•9m ago•0 comments

FPC 3.2.4-Rc2 Published

https://forum.lazarus.freepascal.org/index.php?topic=74923.0
2•kristianp•10m ago•0 comments

OpenAI's annualized revenue $20B lower than prior investor estimates

https://finance.yahoo.com/technology/article/openais-annualized-revenue-20-billion-lower-than-pri...
1•yogthos•10m ago•0 comments

I gave Opus 5.5 one Peppa Pig frame; it made a 13-second cartoon in JavaScript

https://github.com/kitcut-hq/kitcut/blob/main/docs/cartoon-from-a-still.md
3•alexander-g•10m ago•0 comments

Long-Term Memory for AI:50M-Token Window,Is Faster,Cheaper Than Recompute

https://arxiv.org/abs/2610.10845
1•Corbenic•13m ago•0 comments

New open source cross-platform sandboxing library from Microsoft-looks promising

https://twitter.com/simonw/status/2108216753604248000
3•thunderbong•17m ago•1 comments

Sagebrush: python in your browser

https://sagebrush.space/
1•mathgenius•23m ago•1 comments

Signal says changes to lawful access bill will not persuade it to stay in Canada

https://www.theglobeandmail.com/politics/article-messaging-service-signal-says-ministers-changes-...
2•iamnothere•26m ago•0 comments

Omarchy launches $100k bug bounty program on HackerOne

https://omarchy.org/news/2026/10/omarchy-launches-bug-bounty-program-on-hackerone/
3•colesantiago•26m ago•0 comments

Fort Hood Shooter's Execution Will Be Public and Streamed Live, Pentagon Says

https://www.nytimes.com/2026/10/08/us/politics/fort-hood-execution-streamed-public.html
7•mistersquid•27m ago•2 comments

A Lecture to the Makers

https://bengoertzel.substack.com/p/a-lecture-to-the-makers-delivered
3•simonexmachina•29m ago•0 comments

Show HN: I built an open-source AWS FinOps auditor using Pandas

https://github.com/Ace7-coder/aws-finops-auditor-lite
1•Ace7-coder•29m ago•0 comments

US to livestream Army execution of Fort Hood shooter

https://www.reuters.com/world/us-livestream-army-execution-fort-hood-shooter-pentagon-official-sa...
3•lossolo•31m ago•3 comments

Low-cost Android phones ship with residential proxy malware

https://www.bleepingcomputer.com/news/security/low-cost-android-phones-ship-with-residential-prox...
2•sbulaev•31m ago•0 comments

Visa Releases Its AI-Powered Cyber Defense System to Open Source

https://corporate.visa.com/en/sites/visa-perspectives/security-trust/visa-cybersecurity-mythos-pr...
4•fosco•35m ago•0 comments

Show HN: Edi Life OS – self-hosted life dashboard with an MCP server for AI

https://github.com/edrisranjbar/lifeos
6•edris0077•36m ago•0 comments

Exact discrete Fourier transform below n log n: exponent saving 1e-13 to 7.3e-5

https://github.com/shea256/fourier-transform-below-nlogn
1•shea256•38m ago•0 comments

A Mathematical Theory of the Antilibrary

https://growingbits.dev/fragments/a-mathematical-theory-of-the-antilibrary
2•jerlendds•40m ago•0 comments

A New Reason to Learn

https://kennymouse.github.io/posts/a-new-reason-to-learn.html
3•kennyslimber•41m ago•0 comments

Octri SDK Generator with Observability

https://octri.dev
2•khalidkhair•42m ago•0 comments

Massachusetts Doesn't Have a Public Database of Ethics Disclosures, He Made One

https://binj.news/2026/10/06/massachusetts-doesnt-have-a-public-database-of-ethics-disclosures-so...
2•rdmuser•51m ago•0 comments

Parenting hits different when you work in AI: SF dad letting bot read to baby

https://www.fastcompany.com/91620848/parenting-hits-different-when-you-work-in-ai-san-francisco-f...
3•Topfi•54m ago•1 comments

I gave four coding agents $100 budget to build a PDF editor

https://blog.nielstron.de/2026/10/08/the-remaining-shortcomings-of-coding-agents/
3•nielstron•54m ago•1 comments

OpenAI Safety Researchers Fired

https://twitter.com/balesni/status/2108262814003687745
3•papergirl•1h ago•1 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.