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Norway to propose temporary ban on AI glasses in some public places

https://www.reuters.com/technology/norway-propose-temporary-ban-ai-glasses-some-public-places-202...
1•jmsflknr•2m ago•0 comments

Intel Xeon 6 SKU List and Value Analysis: Clearwater Forest Runs Wide

https://www.servethehome.com/intel-xeon-6-sku-list-and-value-analysis-clearwater-forest-runs-wide/
1•rbanffy•5m ago•0 comments

Planned Pooling for Knitters

https://yarnsub.com/articles/tools/color-pooling-simulator
1•ardoise•7m ago•0 comments

Memory Snapshots for CPython (Python Language Summit 2026) – Python Insider

https://blog.python.org/2026/09/language-summit-2026-memory-snapshots/
1•rbanffy•7m ago•0 comments

Creation of the Humanoids (1962)

https://www.moviestvnetwork.com/movies/2060
1•fuzzfactor•8m ago•1 comments

Show HN: Reright.it – Human approval for agent-written text

https://reright.it/
1•paulofilip3•9m ago•0 comments

FBI arrests 'Chinese foreign agent' for spying on Taiwan president's son

https://www.aljazeera.com/news/2026/10/5/fbi-arrests-chinese-foreign-agent-for-spying-on-taiwan-p...
1•snarky-comments•10m ago•0 comments

Binance Founder Changpeng Zhao's Life After Prison

https://www.nytimes.com/2026/10/01/business/changpeng-zhao-binance.html
1•7777777phil•10m ago•0 comments

Distributed DataFusion: A library for building distributed query engines in Rust

https://www.datadoghq.com/blog/engineering/distributed-datafusion/
1•gabimtme•11m ago•0 comments

What it took to make sovereign AI self-serve

https://www.union.ai/blog-post/its-now-super-easy-to-start-using-union-ai
1•samhita-alla•13m ago•0 comments

I copied Muse's memory setup for Hermes and experienced significant improvement

https://reddit.com/comments/1wxu98g/
1•thunderbong•15m ago•0 comments

Show HN: Montray – a tray icon for systemd service health

https://github.com/dimonomid/montray
1•dimonomid•15m ago•0 comments

Agent should lose access when the task ends

https://www.drjoshcsimmons.com/writing/your-agent-should-lose-access-when-the-task-ends
1•joshcsimmons•15m ago•0 comments

Automating eval design and hillclimbing with Claude

https://claude.dev/blog/automating-eval-design-and-hillclimbing/
1•codelion•16m ago•0 comments

Internet Watch Foundation reports rise in AI child sexual abuse material

https://www.theguardian.com/technology/2026/oct/05/internet-watch-foundation-huge-rise-ai-child-s...
1•ilreb•17m ago•1 comments

A rebuttal to "What makes Lisp difficult to read?"

http://digikar.online/microblog/p/lisp-syntax-rebuttal/
1•Thom2503•19m ago•0 comments

All hail electrification. But let's talk about the hard part

https://insideclimatenews.org/news/01102026/inside-clean-energy-global-electrification-obstacles/
1•rbanffy•21m ago•0 comments

Apple and a Hacker's Future

https://stratechery.com/2026/apple-and-a-hackers-future/
2•maguay•22m ago•0 comments

Integrating an Orcon ventilation system into Home Assistant

https://elvinhome.io/blog/articles-3/hacking-my-rental-apartment-s-ventilation-to-be-smart-orcon-...
1•Eelviny•23m ago•1 comments

IBM Bob expands to self-hosted environments

https://www.ibm.com/new/announcements/ibm-bob-expands-to-self-hosted-environments-for-sensitive-a...
1•noiv•24m ago•0 comments

How AI-Native Companies Are Rebuilding the Management Function

https://growthwiseteams.substack.com/p/how-ai-native-companies-are-rebuilding
1•Vameyer•25m ago•0 comments

Staying on the path to high performing teams

https://lethain.com/durably-excellent-teams/
1•fagnerbrack•27m ago•0 comments

The Impossible Problem and the Perils of Writing a Physics Engine

https://lotusspring.substack.com/p/the-impossible-problem-and-the-perils
2•tahatorabpour•28m ago•0 comments

Azure showed $21k in startup credits. Claude in Foundry billed our card $17k

https://vegalabs.no/azure-claude-billing.html
3•knutsolini•31m ago•0 comments

Tickler: Reminders that Claude Code writes and resumes

https://github.com/PixiBixi/tickler
1•PixiBixi•33m ago•0 comments

Rust for CPython (Python Language Summit 2026) – Python Insider

https://blog.python.org/2026/09/language-summit-2026-rust-for-cpython/
2•rbanffy•35m ago•0 comments

Quad9 Rejects French Piracy Blocks, Weighs Exit as BeIN Seeks Up to €580K a Day

https://torrentfreak.com/dns-resolver-quad9-rejects-french-piracy-blocks-weighs-exit-as-bein-seek...
2•rzk•35m ago•0 comments

Girl, 12, fatally shot in US during 'dispute over parking space'

https://www.bbc.com/news/articles/cwr5y48p89vvo
6•e2e4•38m ago•3 comments

CFO survey: finance teams spend 26% of their workday verifying AI output

https://www.datarails.com/research/2026-cfo-sentiments/
1•theofficecfo•39m ago•0 comments

Linux Plumbers Conference Timetable

https://lpc.events/event/20/timetable/
1•rwmj•41m 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.