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PEP 843 – Export Statement for DRY Re-exports – peps.python.org

https://peps.python.org/pep-0843/
1•rbanffy•5s ago•0 comments

The Hiring Post (2015)

https://sockpuppet.org/blog/2015/03/06/the-hiring-post/
1•tosh•1m ago•0 comments

Ollama Plans Changed

https://ollama.com/pricing
1•soltanov•2m ago•0 comments

Who Should Pay for Source Code Availability?

https://kristoff.it/blog/source-code-availability/
1•distressor•2m ago•0 comments

Keeping Open Source Open in the Age of Coding Agents

https://twitter.com/francedot/status/2095052001667408295
1•frabonacci•2m ago•0 comments

Pattern discovery in binaries to understand file layout (FF-16)

https://github.com/HexLasso/FF-16
1•HexLasso•3m ago•1 comments

So there's this $499 AI Dyson camera toothbrush

https://www.morningbrew.com/stories/so-theres-this-usd499-ai-dyson-camera-toothbrush
1•doppp•5m ago•0 comments

Enough! Open Letter from Jewish Pros in Defense of Mark Ruffalo [on Ellison]

https://lithub.com/enough-an-open-letter-from-jewish-creatives-and-thinkers-in-defense-of-mark-ru...
2•mdp2021•9m ago•0 comments

What every programmer should know about memory (2007)

https://lwn.net/Articles/250967/
1•tosh•9m ago•0 comments

MemoTab – I turned the browser's new tab into a personal workspace

https://chromewebstore.google.com/detail/memotab-–-new-tab-notes-f/fikoeimhmcejdnhpahkljhjcijfd...
1•ab_dev1•10m ago•0 comments

Show HN: Terraplane: webhook-based Terraform PRs with runners in your network

https://github.com/terraplane-org/terraplane
2•xyzjace•12m ago•0 comments

AI Sapiens K1

https://docs.robotis.com/docs/systems/aisapiens/introduction/
1•iamanatom•16m ago•0 comments

Measure the Queue, Not the Bot

https://amitkvint.com/writing/measure-the-queue-not-the-bot/
1•taubek•17m ago•0 comments

Sometimes the Fastest System Is the One Willing to Stop

https://www.amrishkhan.dev/blog/sometimes-the-fastest-system-is-the-one-willing-to-stop-5a6a
1•amrishkhan05•20m ago•0 comments

Swiss E-ID: Justice Minister Jans prevents secret Amazon deal

https://www.heise.de/en/news/Swiss-E-ID-Justice-Minister-Jans-prevents-secret-Amazon-deal-1143745...
2•kioleanu•22m ago•0 comments

The index was lying and the eval knew

https://gil-neto.com/blog/the-index-was-lying-and-the-eval-knew/
1•gilneto8•22m ago•0 comments

Show HN: An Autonomous Agent for Slay the Spire

https://github.com/AttemorySystem/spire-agent
1•langs•22m ago•0 comments

Show HN: I built a menu-bar app to give Claude access to your Apple macOS apps

https://www.pomeroy.app/
1•joesaunderson•22m ago•1 comments

Scientists Hunting Dark Matter Found Something Strange

https://www.nytimes.com/2026/09/01/science/dark-matter.html
1•jimmytucson•22m ago•2 comments

How to Make a PwC-Style PowerPoint with AI: A Practical Consulting Deck Guide

https://medium.com/@2315610426/how-to-make-a-pwc-style-powerpoint-with-ai-a-practical-consulting-...
1•chenxi030826•23m ago•0 comments

Simon Willison: How AI is changing software development [audio]

https://talkingpostgres.com/episodes/how-ai-is-changing-software-development-with-simon-willison/...
2•skm•24m ago•0 comments

The IBM PC, Part 2: Tsunami – Creatures of Thought

https://technicshistory.com/2026/08/29/the-ibm-pc-part-2-tsunami/
1•rbanffy•25m ago•0 comments

Turned a $15 eBay "smart NIC" nobody could get working into a real 10GbE card

https://github.com/nicologiuliani6/cavium-cn6640-snic10e-octeon-ii-nic
2•mchan•27m ago•0 comments

C Is Not a Low-Level Language

https://queue.acm.org/detail.cfm?id=3212479
2•tosh•27m ago•0 comments

Watch Netflix / Prime Video with display link in extended monitor

https://github.com/sayantan94/Chrome-Plugins/tree/main/displaylink-video-fix
1•sayantan317•27m ago•0 comments

Google Pics is generally available starting today

https://workspace.google.com/products/pics/
4•Nazzareno•29m ago•0 comments

What's in Your Agent's Context? Context Privilege Escalation Attacks Against AI

https://arxiv.org/abs/2609.01222
1•sbulaev•30m ago•0 comments

Years of AI History

https://pyyan.com/timeline
1•sajithamma•34m ago•0 comments

BDH-CQ: In-Context Learning with Recurrent Latent Reasoning

https://arxiv.org/abs/2608.09888
3•mdp2021•35m ago•1 comments

AI plotted an interstellar journey to Alpha Centauri

https://www.technologyreview.com/2026/09/01/1143247/ai-interstellar-journey-alpha-centauri/
1•joozio•35m 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.