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Andrew Gelman: The ladder of abstraction in statistical graphics

https://arxiv.org/abs/2501.06920
1•skadamat•51s ago•0 comments

Nevada unions, politicians caught between AI job creation and destruction

https://www.reuters.com/investigates/special-report/usa-data-centers-unions/
2•tartoran•3m ago•0 comments

Cisco open-sources Project Quarry, a detection language for AI agent behavior

https://blogs.cisco.com/ai/project-quarry-agent-security-detections
1•wondersky•3m ago•0 comments

Highway thieves are spoofing GPS to steal millions in data center-bound cargo

https://arstechnica.com/tech-policy/2026/10/highway-thieves-are-spoofing-gps-to-steal-millions-in...
1•nxobject•3m ago•0 comments

Ask HN: What Are the User in Green?

1•TheosBuilds•4m ago•1 comments

Show HN: Sulci – a semantic cache that knows when not to answer

https://github.com/sulci-io/sulci-oss
1•sulci_cache•4m ago•0 comments

Access Multiple AI Models in Your Python Apps Using OpenRouter

https://www.kdnuggets.com/access-multiple-ai-models-in-your-python-apps-using-openrouter
1•eigenBasis•4m ago•0 comments

Most California students struggle in reading and math, new test scores show

https://nypost.com/2026/10/15/us-news/most-california-students-struggle-in-reading-and-math-new-t...
1•bilsbie•5m ago•0 comments

Forfeiting Freedom for Security: A Legal Review of the DHS and ICE (2002) [pdf]

https://digitalcommons.wcl.american.edu/cgi/viewcontent.cgi?params=/context/aulr/article/1149/&pa...
2•paimapi•5m ago•0 comments

Planning with Agents: Divided Worlds, Boundary Objects, and Thicker Interfaces

https://maggieappleton.com/planning-agents
1•skadamat•5m ago•0 comments

Europe's AI future taking shape

https://nebul.com/nebul-expands-to-belgium-with-more-than-1000-nvidia-blackwell-ultra-gpus-in-gb3...
2•tbsertkaya•5m ago•0 comments

Bureau – Design-Review Workflow

https://www.zeniteq.com/bureau-7-10-adds-ten-gates-to-ai-design-review-dr3pxz
1•acf1210•6m ago•0 comments

3 out of 4 responses to UK smoke-free generation consultation were AI-generated

https://bmjgroup.com/3-out-of-4-responses-to-uk-smoke-free-generation-consultation-were-ai-bot-ge...
2•DeepLogin•8m ago•0 comments

LZB (Linienzugbeinflussung = train control system / cab signalling)

https://wiki.railsignalling.org/index.php?title=LZB
1•Bluestein•9m ago•0 comments

1,447 emoji? We'll do it live

https://planetpeanut.studio/post/2026/10/27/pidgin-emoji-twitch
1•birdculture•10m ago•0 comments

The preview that lies, and the one that doesn't

https://formfeed.dev/blog/preview-that-matches-the-pdf
1•staudtIT•10m ago•0 comments

Comer Investigates Delaware Initiative to Create AI Companies

https://oversight.house.gov/release/comer-investigates-potential-for-harm-lack-of-transparency-in...
1•jkestner•10m ago•0 comments

Free and open source app for making real and fake calls with sync

https://github.com/FANDCS/Callen_App
1•Android_Creator•10m ago•1 comments

Dropbox lays off 9% of workforce

https://seekingalpha.com/news/4658887-dropbox-lays-off-9-of-workforce-expects-q3-results-to-meet-...
3•otterwise•10m ago•0 comments

Ask HN: Should there be an open source license that bans model training

1•batikha•10m ago•0 comments

The concept of wrapping your CLIs to make them more token-efficient [video]

https://www.youtube.com/watch?v=TlmTypTQFj8
1•nvmdbljstm•13m ago•3 comments

Time to Go Deep

https://altertable.ai/blog/2026-10-27-the-best-time-to-go-deep
1•vvoyer•13m ago•0 comments

When to Hire a New CEO (2015)

https://mr-p.medium.com/when-to-hire-a-new-ceo-26cf9f8762ff
1•kyle_o•13m ago•0 comments

Show HN: Agent-B.V., adversarial tests and on-chain reports for AI agents

https://agent-bv.pages.dev/app/
1•SAW29•15m ago•0 comments

The October inflection point for vibe game development

https://simonwillison.net/2026/Oct/28/vibe-game-development/
4•simonw•15m ago•4 comments

Apple iPhone Duo review: Two screens, two experiences, two thousand dollars

https://arstechnica.com/gadgets/2026/10/apple-iphone-duo-review-two-screens-two-experiences-two-t...
1•PaulHoule•16m ago•0 comments

The Agent SDK

https://cursor.com/blog/agent-sdk
9•torutofu•16m ago•1 comments

Geek Groups

https://pgadey.ca/notes/geek-groups/
1•surprisetalk•19m ago•0 comments

Building My Own Tiny AI Weather Model

https://tcumulus.dev/blog/building-my-own-tiny-ai-weather-model/
1•tcumulus•19m ago•0 comments

The Last Proof of Human Craft: Forging a Microsoft Edge Full Chain with Logic

https://blog.orange.tw/posts/2026-10-the-last-proof-of-human-craft-browser-full-chain/
1•dverlaeckt80•20m 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.