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YouTube Offers Creators Millions to Not Work with Netflix

https://www.bloomberg.com/news/articles/2026-08-19/youtube-offers-creators-millions-to-not-work-w...
1•mfiguiere•1m ago•0 comments

Moral Disengagement

https://en.wikipedia.org/wiki/Moral_disengagement
3•soupspaces•6m ago•0 comments

Show HN: Turning websites into micro CLIs for Claude Code to save on tokens

https://github.com/only-cli/oc
3•hyes•7m ago•0 comments

Faster pull requests are faster horses

https://royalicing.com/2026/faster-pull-requests-faster-horses
2•burntcaramel•8m ago•0 comments

Nvidia Alpamayo 2 Super: The Frontier Open Model for Autonomous Vehicles

https://blogs.nvidia.com/blog/alpamayo-2-super-open-model-now-available/
2•gmays•10m ago•0 comments

Curta Calculator

https://en.wikipedia.org/wiki/Curta
3•michaelleland•11m ago•0 comments

Great Event Planning Skill

https://github.com/arnons1/great-event-planning-skill
2•arnon•11m ago•0 comments

Sleeping at Scale

https://buildkite.engineering/sleeping-at-scale/
1•jhealy•13m ago•0 comments

Anthropic Refuses to Support Agents.md

https://github.com/anthropics/claude-code/issues/6235
1•fg137•13m ago•0 comments

Ask HN: How zero-server apps sync keys and chat history securely across devices?

1•Brandon-Coll•14m ago•0 comments

The existence of the square root of two

https://www.dpmms.cam.ac.uk/~wtg10/roottwo.html
1•pykello•14m ago•0 comments

Kodak invented digital photography in 1975 and still couldn't survive it [video]

https://www.youtube.com/watch?v=c_N-ZI6aGhA
1•adhikaribipin•15m ago•0 comments

Does this website look vibe coded?

https://platform.stridee.fit
1•alvaromolina0•16m ago•1 comments

How much would value the domain 'cmdk.ai' and 'commandk.ai'

1•hpragdish•19m ago•0 comments

Checkout this coding harness that compiles codebase. 78% SWE-Bench (DS v4flash)

https://benzi.fly.dev/
2•sessionking•21m ago•2 comments

Os8088.com: IBM XT OS now has a Browser, CP/M 2.2 with Z80 core and MS Word 1.1a

https://os8088.com/spotlight/
2•jggonz•22m ago•1 comments

Apple Compared My Neurodivergent Disability Adjustments to Dog-Sitting: VisionOS

https://edgecaseexistence.com/articles/apple-dogsitting/
3•xr-rnd•24m ago•0 comments

Did OpenAI's AI hack Hugging Face? An evidence audit

https://speedyweedyops.org/did-openai-ai-hack-hugging-face/
1•igovnow•24m ago•0 comments

The AI Boom Is About to Make Cars More Expensive

https://www.theatlantic.com/technology/2026/08/car-prices-memory-ram-ai/688329/
1•littlexsparkee•24m ago•2 comments

Firefly Aerospace to fly Zeno Power radioisotope heater on lunar lander mission

https://spacenews.com/firefly-aerospace-to-fly-zeno-power-radioisotope-heating-unit-on-lunar-land...
2•rbanffy•25m ago•0 comments

Astronomers detect fastest known star in Milky Way

https://www.theguardian.com/science/2026/aug/19/astronomers-detect-fastest-known-star-in-milky-wa...
1•wslh•28m ago•0 comments

I Became a Pediatrician Because I Wanted to Be a Good Adult

https://drped.substack.com/p/i-became-a-pediatrician-because-i
9•jamarna•29m ago•1 comments

Show HN: ComputeFence – preflight checks for rented GPU training jobs

https://github.com/Francisco-Booth/ComputeFence
1•Exolio_AI•30m ago•0 comments

AI-generated writing: it's still bad

https://greyenlightenment.com/2026/08/18/ai-generated-writing-its-still-bad/
4•paulpauper•31m ago•1 comments

AI is less likely to launch a nuclear strike when it reasons in Japanese

https://www.unite.ai/ai-is-less-likely-to-launch-a-nuclear-strike-when-it-reasons-in-japanese/
3•50kIters•31m ago•0 comments

Every Steam Frame Official Video Leaked [video]

https://www.youtube.com/watch?v=PpMgjtQhVsI
1•LelouBil•31m ago•0 comments

OpenAI's Unraveling Has Begun

https://garymarcus.substack.com/p/breaking-openais-unraveling-has-begun
12•7777777phil•32m ago•3 comments

Show HN: I forked an agent stack and measured myself against it, losses included

https://toolbay.ai/stack
1•orion232•34m ago•0 comments

I am so against volunteering in academia (ecology-edition)

https://statmodeling.stat.columbia.edu/2026/08/19/why-i-am-so-against-volunteering-in-academia-ec...
3•Tomte•35m ago•0 comments

Ask HN: If you write release notes, what stops you from being specific?

1•gtirloni•36m 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.