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Sex, AI, and the Apocalypse

https://www.iankduncan.com/personal/2026-09-16-sex-ai-and-the-apocalypse/
1•Anon84•32s ago•0 comments

Edge Magazine: The game industry is broken – can we fix it?

https://knowledge.edge-online.com/p/the-game-industry-is-broken-can-we-fix-it-tim-sweeney-edge-crash
1•vblanco•1m ago•0 comments

Linux Patched for Silent User-Space Data Loss Bug That Existed Since 2023

https://www.phoronix.com/news/Linux-7.3-Fix-Silent-Data-Loss
1•dimonomid•1m ago•0 comments

How Uber Protects Against Retry Storms

https://www.uber.com/us/en/blog/protecting-against-retry-storms/
1•iscmt•1m ago•0 comments

How SpaceX Streamlined the Raptor Engine

https://www.construction-physics.com/p/how-spacex-streamlined-the-raptor
1•JumpCrisscross•2m ago•0 comments

Typesafe AI

https://typesafe.ai/
1•h1fra•2m ago•0 comments

Bonsai 2 27B: Near-Lossless Compression in a 9x Smaller Footprint

https://prismml.com/news/bonsai-2-27b
1•JonSchneider•2m ago•0 comments

OpenAI Safety Guardrails: What to Test Before Trusting an AI Agent

https://www.pentesty.co/blog/openai-safety-guardrails-ai-agent-security
1•josanjohnata•4m ago•0 comments

ESP32 Wi-Fi Vulns: Coordinated Disclosure Is Broken by AI

https://fughilli.substack.com/p/auditing-the-closed-esp32-c6-wi-fi
1•fughilli•7m ago•0 comments

Microsoft Office alternative Euro-Office getting Windows desktop app soon

https://www.neowin.net/news/microsoft-office-alternative-euro-office-getting-dedicated-windows-de...
2•bundie•9m ago•0 comments

Ask HN: What self-hosted apps do you use daily?

1•osr00•13m ago•1 comments

Measure your speakers with a mic and get a parametric calibration

https://github.com/thefreshoffice/omarchy-speaker-calibrator
1•lwhsiao•16m ago•0 comments

Wonder debuts first robotic meal assembly system, acquired tech from Sweetgreen

https://www.fastcompany.com/91606368/marc-lore-startup-wonder-infinite-makeline-robotic-food-prep
1•rmason•16m ago•0 comments

Remains of 'lost' medieval castle found at UCD campus

https://www.rte.ie/news/regional/2026/0917/1591962-ucd-medieval-castle/
3•austinallegro•20m ago•0 comments

Why the Navier-Stokes Equations Are So Hard [video]

https://www.youtube.com/watch?v=PsWR1rQEWYo
2•doctoboggan•21m ago•0 comments

The most important product decision is what you don't build

https://liamnugent.me/posts/what-you-dont-build/
3•ChrisArchitect•23m ago•1 comments

C++26: Trivial infinite loops are no longer undefined behaviour

https://www.sandordargo.com/blog/2026/09/16/cpp26-trivial-infinite-loops
2•ibobev•23m ago•0 comments

Show HN: Microsoft Office Running with Wine on Linux with No Virtualization

https://github.com/Tombert/office365_flake
1•tombert•24m ago•2 comments

Shaping the Future of Learning: Education Readiness for the Age of AI [pdf]

https://reports.weforum.org/docs/WEF_Shaping_the_Future_of_Learning_2026.pdf
1•gmays•24m ago•0 comments

Computer Reset, Dallas

https://dfarq.homeip.net/computer-reset-dallas/
3•ibobev•26m ago•0 comments

Measurements for understanding the pace of AI development inside frontier labs

https://www.anthropic.com/institute/measuring-pace-of-ai-development
2•vertigoruntime•26m ago•0 comments

Backlog and Workers: Two Knobs on Two Layers

https://www.buoyant.io/blog/backlog-and-workers-two-knobs-on-two-layers
1•PagCatOli•26m ago•0 comments

Who Are We Now?

https://jessitron.com/2026/08/30/who-are-we-now/
1•mooreds•27m ago•0 comments

Polygo, a local-first CLI that translates your app's strings with Ollama

https://github.com/Na5co/polygo
1•nasco1899•27m ago•0 comments

Brazil plans executive order to ban online casinos, sources say

https://www.reuters.com/world/americas/brazil-plans-executive-order-ban-online-casinos-sources-sa...
3•tartoran•27m ago•0 comments

FAA's Smart AI System Fact Sheet [pdf]

https://www.faa.gov/newsroom/SMART_One-Pager.pdf
1•david_shaw•27m ago•0 comments

Agents: The New, New Kingmakers

https://redmonk.com/sogrady/2026/09/16/new-new-kingmakers/
1•mooreds•27m ago•0 comments

Why sovereign AI demands a tenancy model, not just geography

https://www.redhat.com/en/blog/datacenter-myth-why-sovereign-ai-demands-tenancy-model-not-just-ge...
1•mooreds•28m ago•0 comments

Show HN: Snapdrop: Instantly share files between devices. No setup, no signup

https://snapdrop.me
1•Capira•28m ago•0 comments

Lepton from Valve to run Android games on Linux is now open source

https://www.gamingonlinux.com/2026/09/lepton-from-valve-to-run-android-games-on-linux-is-now-open...
1•pizzaiolo•28m 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.