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Why Europa's hidden ocean may be more difficult to reach than scientists thought

https://phys.org/news/2026-07-europa-hidden-ocean-difficult-scientists.html
1•mikalauskas•2m ago•0 comments

Recreate BART Lines from Memory

https://nalinplad.github.io/draw_bart/
1•notmysql_•2m ago•0 comments

The Social Security Reckoning Is Finally Coming

https://www.theatlantic.com/ideas/2026/07/social-security-taxes-benefits/688042/
1•paulpauper•4m ago•0 comments

Children's books about scientists convey demotivating messages

https://www.pnas.org/doi/abs/10.1073/pnas.2612021123?af=R
1•paulpauper•5m ago•0 comments

What I've Been Reading

https://marginalrevolution.com/marginalrevolution/2026/07/what-ive-been-reading-292.html
1•paulpauper•5m ago•0 comments

How we built a DuckDB transpiler

https://www.cocoalemana.com/blog/building-a-duckdb-transpiler/
1•ryanmelehan•6m ago•1 comments

Deep Breaths

https://100-deep-breaths.com
2•structuredPizza•9m ago•1 comments

GFQL: Run Cypher on Polars, CPU and GPU, no database required

https://www.graphistry.com/blog/cypher-on-polars-cpu-gpu-graph-engine
1•lmeyerov•9m ago•0 comments

Logic Puzzle from the MIT Mystery Hunt

https://wondrousnet.blogspot.com/2026/05/solution-to-build-your-own-sudoku-puzzle.html
2•Nothing33•9m ago•0 comments

Privacy Is Not a Soundbite

https://code.mendhak.com/privacy-is-not-a-soundbite/
1•speckx•9m ago•0 comments

Bal-tec: custom-made balls of any material, any size, quality, quantity

https://hightechballs.com/index.html
1•nickswalker•10m ago•0 comments

Doctordle: Test your medical knowledge with daily clinical scenarios

https://doctordle.org/
1•ohjeez•11m ago•0 comments

Altitude adaptation in Tibetans due to introgression of Denisovan-like DNA [pdf]

https://www.nature.com/articles/nature13408
1•thunderbong•14m ago•0 comments

Aurora DSQL: Scalable, Multi-Region OLTP

http://muratbuffalo.blogspot.com/2026/07/aurora-dsql-scalable-multi-region-oltp.html
1•zdw•14m ago•0 comments

We (Agents) Build Software for Humans

https://raft.build/resources/blog/how-a-feature-ships-for-raft-on-raft/
1•tygg•15m ago•0 comments

Meta faces higher borrowing costs in latest $12B data centre financing

https://www.ft.com/content/822628c5-4f9c-47db-bd27-f3ad7f841700
3•mfiguiere•15m ago•1 comments

I learned two pointers after confusing them for months

https://leetcopilot.dev/blog/two-pointers-intuition-for-leetcode-beginners-step-by-step
1•alexwang24•16m ago•0 comments

One Reference for 3000 APIs

https://github.com/mindcloud-inc/universal-api-reference
1•frabjoused•17m ago•0 comments

Tanks Mayhem is back: 16 years later, in the browser

https://www.atomic14.com/2026/07/24/tanks-mayhem-is-back
1•iamflimflam1•21m ago•0 comments

Show HN: Twigg – open-source big-tech-like version control and software forge

https://github.com/twigg-vc/monorepo
7•andrebianchessi•24m ago•4 comments

Accountability

https://addisoncrump.info/research/on-accountability/
1•birdculture•26m ago•0 comments

Download Everything

https://blog.dasrecht.net/2026/07/20/download-literally-everything/
1•speckx•26m ago•0 comments

Is Kimi K3 Better Than Opus? It Was Until Opus 5

https://playcode.io/blog/macbook-svg-benchmark
2•ianberdin•26m ago•3 comments

Oracle VM VirtualBox Bug Discovered by AI: CVE-2026-60161

https://octane.beehiiv.com/
2•runeks•27m ago•1 comments

Postgres LISTEN/NOTIFY actually scales

https://www.dbos.dev/blog/postgres-listen-notify-scalability
24•KraftyOne•29m ago•2 comments

I wanted a clock that never needed setting. Things escalated

https://arstechnica.com/gadgets/2026/07/i-wanted-a-clock-that-never-needed-setting-things-escalated/
2•Jtsummers•29m ago•0 comments

How Spotify Studio Works

https://labs.spotify.com/studio/how-it-works
1•jlaneve•30m ago•0 comments

Watch Fable 5 play Zork and read it's mind

https://zork.arobase.co/
1•posabsolute•32m ago•0 comments

Australia's huntsman fastest spider recorded in new study

https://www.abc.net.au/news/science/2026-07-10/huntsman-speed-study-science-fastest/106900894
1•speckx•33m ago•0 comments

The Century of the Self (2002) [playlist] [video]

https://www.youtube.com/playlist?list=PLktPdpPFKHfoXRfTPOwyR8SG8EHLWOSj6
1•gurjeet•34m 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.