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The insufferable hypocrisy of elite academia

https://www.theatlantic.com/magazine/2026/09/elite-academia-leadership-hypocrisy/687969/
1•loughnane•47s ago•0 comments

Show HN: SecondState – what if Hebbia started with raw ERP data?

https://trysecondstate.com/
1•ELAmrani•4m ago•0 comments

SpaceX's Earnings Show Elon Wiped Out Two-Thirds of Twitter's Ad Business

https://www.techdirt.com/2026/08/10/spacexs-earnings-show-elon-wiped-out-two-thirds-of-twitters-a...
1•shye•5m ago•0 comments

Greenland issues 'strong warning' as Trump-linked oil firm prepares to drill

https://www.theguardian.com/world/2026/aug/08/greenland-iwarning-trump-linked-oil-firm-prepares-d...
1•abdelhousni•6m ago•1 comments

Beware the Permanent Periphery

https://asteriskmag.com/issues/15/beware-the-permanent-periphery
2•m-hodges•7m ago•0 comments

Cable Pioneer Bob Miron Dies at 89

https://www.cablefax.com/people/cable-pioneer-miron-dies-at-89
2•indigodaddy•8m ago•0 comments

Muse Glimmer 30B unsloth GGUF format Q4, Q6, Q8 quantizations

https://huggingface.co/unsloth/Muse-Glimmer-30B-GGUF
1•walrus01•8m ago•0 comments

AI Coding and Its Discontents

https://calnewport.com/on-ai-coding-and-its-discontents/
2•champagnepapi•10m ago•0 comments

Pro Jank Footy, the video game taking Australian rules to the world

https://www.theguardian.com/games/2026/aug/11/pro-jank-footy-video-game-australian-rules
1•milderworkacc•14m ago•0 comments

No, local models will not win

https://www.seangoedecke.com/local-models-will-not-win/
2•m0rde•18m ago•0 comments

Chicken Scheme 6.0 Released

https://code.call-cc.org/releases/6.0.0/NEWS
1•eatonphil•18m ago•0 comments

Estimating Branch Probabilities

https://maskray.me/blog/2026-08-09-estimating-branch-probabilities?from_theconsensus=1
1•eatonphil•20m ago•0 comments

Vibebin – code and host with incus containers on your VPS/server

https://GitHub.com/jgbrwn/vibebin
1•indigodaddy•22m ago•0 comments

Tell HN: I Bought a Pocket Notebook

2•Iuz•23m ago•0 comments

The Roboguard Revolution Is Short-Circuiting

https://www.proofnews.org/the-roboguard-revolution-is-short-circuiting/
1•DeepLogin•24m ago•0 comments

Locating a livestreamers geolocation via background noise [video]

https://www.youtube.com/watch?v=SnbkIm56TfI
1•SpyCoder77•25m ago•0 comments

Training AI to Govern for Us

https://freesystems.substack.com/p/training-ai-to-govern-for-us
2•mitchbob•26m ago•0 comments

ICE to Pay LexisNexis Millions for Data to Feed to Palantir

https://www.404media.co/ice-to-pay-lexisnexis-millions-for-data-to-feed-to-palantir/
3•cdrnsf•26m ago•0 comments

Canopy: Grade any website's health in 4 seconds

https://canopystack.dev/
1•jjraxx•27m ago•0 comments

The AI Slop Backlash Is Having an Impact

https://www.wired.com/story/the-ai-slop-backlash-is-actually-having-an-impact/
4•ripe•33m ago•0 comments

Apple Reference Image: authenticate that a photo came from an iPhone camera

https://9to5mac.com/2026/08/10/apple-is-working-on-a-way-to-authenticate-that-a-photo-came-from-a...
2•Barbing•35m ago•0 comments

The End of MacSurf

https://www.patreon.com/posts/166335760
6•mplsllc•38m ago•0 comments

Unifying Workers AI and AI Gateway into a Single AI Control Plane

https://blog.cloudflare.com/workers-ai-gateway-unification/
1•c_f_•41m ago•0 comments

The Closure of the Internet

https://arctotherium.substack.com/p/the-closure-of-the-internet
2•iamnothere•42m ago•0 comments

"Remaining Awake Through a Great Revolution" Commencement Address (1959)

https://kinginstitute.stanford.edu/king-papers/documents/remaining-awake-through-great-revolution...
2•mooreds•49m ago•0 comments

SNAP's New Rules Make Eligible Families Go Hungry [audio]

https://omny.fm/shows/platypus-economics/how-snaps-new-rules-make-eligible-families-go-hungry-the...
1•mooreds•50m ago•0 comments

The Beer Drinker's Guide to XAA

https://thesaml.substack.com/p/the-beer-drinkers-guide-to-xaa
2•mooreds•51m ago•0 comments

Conviction

https://kennethnym.com/blog/conviction/
2•polyphilz•53m ago•0 comments

Nothing failed. That's why no one caught it.

https://miralume.dev/the-architect/nothing-failed
2•Jernesstar•54m ago•0 comments

Expected Log-Return as a Risk Control

https://win-vector.com/2026/08/10/expected-log-return-as-a-risk-control/
1•jmount•54m 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.