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Gpuix-Svelte · Build native desktop apps with Svelte

https://gpuix-svelte.stanislav.garden/
1•0x1997•2m ago•0 comments

Tyrian 2000 Engaged version – widescreen, high-refresh rendering, multiplatform [video]

https://www.youtube.com/watch?v=6XYol6TJdhE
1•retro_guy•3m ago•0 comments

Claude Mythos 5's GitHub adventure: The postmortem

https://www.anthropic.com/research/alignment-assessment-ukaisi
1•RileyMorgan093•6m ago•0 comments

Break It on Purpose: an AI pipeline that triages and fixes its own bugs

https://zontakllc.com/articles/break-it-on-purpose
1•dzontak•13m ago•0 comments

Red-Teaming OpenAI's Internal Agent Monitoring Systems

https://metr.org/blog/2026-10-22-red-teaming-openai-agent-monitoring/
1•gmays•21m ago•0 comments

Meta employees say Lula’s accounts restricted in Brazil election: Report

https://www.aljazeera.com/economy/2026/10/16/meta-employees-say-lulas-accounts-restricted-in-braz...
2•nidnogg•24m ago•3 comments

Show HN: Bell Weather – recent weather ranked against every year on record (iOS)

https://bellweather.dev/
1•jonathankkizer•25m ago•0 comments

Why California's $33B Bullet Train Is Now a $231B Problem [video]

https://www.youtube.com/watch?v=zPiJKJuQ7i0
1•donsupreme•25m ago•0 comments

Elon Musk says he was behind restricting Ukraine's Starlink speed

https://www.chicagotribune.com/2026/10/24/musk-behind-starlink-speed-restriction-in-ukraine/
4•MilnerRoute•27m ago•0 comments

Show HN: AI Senate – AI senators debate live policy and vote on the record

https://aisenatus.com
1•mequelkramer•27m ago•0 comments

"Sovereign Citizen" Movement

https://en.wikipedia.org/wiki/Sovereign_citizen_movement
2•gverrilla•27m ago•0 comments

Spacedrive – Take back your data

https://github.com/spacedriveapp/spacedrive
1•macote•35m ago•0 comments

Talking with strangers is surprisingly informative

https://pubmed.ncbi.nlm.nih.gov/35972959/
3•Curiositry•37m ago•0 comments

BBC interview with Ondřej Surý, Debian/Ubuntu PHP package maintainer

https://www.bbc.co.uk/news/articles/cw30ejqljl43o
1•dofm•38m ago•0 comments

Musk admits SpaceX restricted Ukraine's Starlink: "That loophole was closed"

https://www.mediaite.com/media/news/elon-musk-admits-spacex-purposely-restricted-ukraines-starlin...
4•entryleveljobsc•38m ago•0 comments

ReVault – new secure archive format

1•bsutto•41m ago•1 comments

ReVault – new secure archive format

https://github.com/onepub-dev/reVault
1•bsutto•45m ago•1 comments

AI Performance in the Security Theater

https://bykozy.me/blog/ai-performance-at-the-security-theater/
1•byko3y•48m ago•0 comments

OneMemory – self-hosted shared memory for AI agents over MCP

https://github.com/calasdan-sketch/onememory
1•decnutz•48m ago•0 comments

Show HN: Offline, open-source app to recover a seed phrase with a missing word

https://github.com/Miztahj866/Seed-Recovery
1•miztahj866•55m ago•0 comments

How to Just Do a Thing

https://www.raptitude.com/2026/05/how-to-just-do-a-thing/
3•andsoitis•56m ago•0 comments

The Hyper-Cathedral and the Hyper-Bazaar

https://kyle.cascade.family/posts/the-hyper-cathedral-and-the-hyper-bazaar/
1•mmzdnp•56m ago•0 comments

Soft Serve

https://softserve.nog.cc/
1•memalign•58m ago•0 comments

"Musk" Documentary Pulled from Almost Every One of 472 Theaters After One Week

https://www.showbiz411.com/2026/10/23/controversial-musk-documentary-pulled-from-almost-every-one...
30•zzzeek•1h ago•7 comments

MacOS Extensions Pack for the Apple Network Server v1.0

http://oldvcr.blogspot.com/2026/10/macos-extensions-pack-for-apple-network.html
1•classichasclass•1h ago•0 comments

Cerebras Deploys Trillion-Parameter AI Models

https://www.cerebras.ai/blog/how-we-deploy-trillion-parameter-frontier-models-on-cerebras
3•gmays•1h ago•0 comments

Show HN: Hurston-1 open source TTS that speak Southern American and Afro-English

https://huggingface.co/destined/hurston-1
1•Gcarter08•1h ago•1 comments

The Slurptop

https://slurpburgers.com/slurpbuilds/the-slurptop/
1•tjwds•1h ago•0 comments

Documentary film 'Bot Love' exploring AI companionship to debut Oct. 21

https://www.thesuburban.com/arts_and_entertainment/entertainment/documentary-film-bot-love-explor...
2•BiraIgnacio•1h ago•0 comments

Formula 1 Grand Prix

https://tv.apple.com/us/channel/formula-1/tvs.sbd.241000
1•lufxen•1h 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.