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What can you learn about a company from the outside?

https://mikwornoo.substack.com/p/company-structure-from-job-postings
1•hunglee2•1m ago•0 comments

Paper: Attention Is All You Have

https://arxiv.org/abs/2608.12610
1•benameurilyesis•3m ago•0 comments

Rocket Lab's GHOST mobile rocket launch infrastructure

https://newatlas.com/military/ghost-gives-rocket-launch-sites-flat-pack-treatment/
1•Gaishan•5m ago•0 comments

The AI Competence/Judgement Gap

https://itamargilad.com/artificial-competence/
1•BerislavLopac•6m ago•0 comments

Show HN: MCP Server for Appointment Booking

https://blog.makeplans.com/2026/08/15/your-ai-assistant-can-now-manage-your-bookings.html
1•sleepyhead•6m ago•0 comments

The Goal Is (Still) Value

https://franciscomt.medium.com/the-goal-is-still-value-9258db5d5e85
1•BerislavLopac•7m ago•0 comments

Control and complexity: tension in systems design

https://ferd.ca/control-and-complexity-tension-in-systems-design.html
1•r4um•8m ago•0 comments

Bitcoin: I'm retarded. ASM client/server project in the works

https://github.com/BobClawblaw/bitcoinmachinecode
2•hjm•11m ago•1 comments

AdNauseam – Clicking ads so you don't have to

https://adnauseam.io/
1•mosiuerbarso•13m ago•0 comments

How to Use AI as a Language Learner

https://vocably.pro/ai.html
2•sneas•17m ago•0 comments

Puppy Weight Estimator: a range-based adult-size calculator

https://puppyweightestimator.com
1•carsmith•19m ago•0 comments

Book Review – Animal Farm

1•jaysinhp•25m ago•0 comments

PayPal Is "In Talks to Sell Itself" After Rejecting Stripe's Initial $60.50 Bid

https://247wallst.com/investing/2026/08/15/breaking-paypal-is-in-talks-to-sell-itself-after-rejec...
1•theanonymousone•27m ago•0 comments

Why Big Tech's AI Spending Is $3T Higher Than It Seems

https://www.wsj.com/tech/ai/why-big-techs-ai-spending-is-3-trillion-higher-than-it-seems-e1067bb2
4•massagedpelican•33m ago•0 comments

Handwritten Digit Classification with Neural Cultures

https://www.biorxiv.org/content/10.64898/2026.08.10.743829v1
1•bwjx•35m ago•0 comments

Show HN: Rex, a parallel functional language for scientific workflows

https://github.com/peterkelly/rex
2•peterkelly•36m ago•0 comments

Zalvion AI

https://zalvionai.com
2•Mari_Developer•40m ago•0 comments

Wolfram Demonstrations – Unsolved Problems

https://demonstrations.wolfram.com/topic/unsolved-problems
2•soupspaces•40m ago•0 comments

$12B of US ratepayers' money wasted on a modeling mistake in PJM

https://newsletter.semianalysis.com/p/12b-of-us-ratepayers-money-wasted
5•_delirium•42m ago•0 comments

AI wins landmark Fair Work Commission case for Macquarie academic

https://www.afr.com/work-and-careers/workplace/ai-wins-landmark-fair-work-commission-case-for-mac...
4•solresol•43m ago•0 comments

Linear Algebra Done Right – Sheldon Axler

https://linear.axler.net/
3•the-mitr•43m ago•0 comments

Heavy Bluesky outage in the past day

https://statusgator.com/services/bluesky
2•krige•52m ago•1 comments

HN: SpotWarp – Local auto-failover daemon for Spot GPUs

https://github.com/enplabs/spotwarp
1•choi5844•56m ago•0 comments

Zcash: Cash Never Died

https://twitter.com/andresochoa/status/2089214322819936487
2•seudrim•1h ago•0 comments

Built a PyTorch optimizer based on Continuous Thermodynamics

https://github.com/3moorebbb-sketch/MEP-Unified-Architecture
1•3moorebbb•1h ago•0 comments

Heroes actress Hayden Panettiere dies at 36

https://www.bbc.com/news/articles/cq5665zgg1po
2•gpi•1h ago•0 comments

Waymo shipped 3200 CN-built EVs to LA for its fleet despite 127.5% tariffs

https://finance.yahoo.com/technology/articles/waymo-shipped-3-200-chinese-163000266.html
3•Markoff•1h ago•1 comments

Concurrent Servers: Part 7 – Rust

https://eli.thegreenplace.net/2026/concurrent-servers-part-7-rust/
2•mfrw•1h ago•0 comments

So You Want to Build an A.I. Star?

https://www.nytimes.com/2026/08/13/arts/ai-podcasts-fashion-pop-avatars.html
2•thm•1h ago•0 comments

I made Claude port omawrite to windows

https://github.com/WhiskeyTuesday/omawrite-win
1•whiskeytuesday•1h ago•1 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.