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Navier–Stokes, AI and the future of research in mathematics [pdf]

https://bms.ulb.ac.be/data/uploads/untitled.pdf
1•fghorow•1m ago•1 comments

Apple Watch Is Always Listening, Will Anyone Ever Be Honest Again?

https://petapixel.com/2026/09/09/your-apple-watch-is-always-listening-will-anyone-ever-be-honest-...
1•pier25•1m ago•0 comments

Anthropic discloses fourth AI hacking incident missed in earlier review

https://www.reuters.com/legal/litigation/anthropic-reports-fourth-cybersecurity-incident-with-ear...
1•accountinhn•2m ago•0 comments

Trezor's Email provider has been breached

https://twitter.com/CR1337/status/2097841222954184954
1•CR1337•3m ago•0 comments

Max Dama on Automated Trading (2011) [pdf]

http://isomorphisms.sdf.org/maxdama.pdf
1•TheAlchemist•7m ago•0 comments

Van Halen Test

https://en.wikipedia.org/wiki/Van_Halen_test
1•evo_9•10m ago•0 comments

Getting 50 GB/S Back from the Apple Neural Engine

https://eiln.github.io/posts/ane-dma.html
1•eiln•11m ago•1 comments

Tor VPN Beta: What we've learned building our own VPN for Android from scratch

https://blog.torproject.org/tor-vpn-beta/
1•woofcat•12m ago•0 comments

Where Stability Becomes the Constraint

https://medium.com/@gurvinder372/article-14-where-stability-becomes-the-constraint-c262b07f617c
1•gps372•14m ago•0 comments

Coinbase Design Systems Are Powering the AI Prototyping Era

https://www.coinbase.com/blog/how-coinbase-design-systems-are-powering-the-ai-prototyping-era
2•dukebartnik•14m ago•0 comments

Weighing matrix W(35,25) found

https://github.com/Jepfore-Games-Ltd/W-35-25
1•jepforegames•17m ago•0 comments

More Impossible-to-Ignore Vaccine Effects

https://www.science.org/content/blog-post/more-impossible-ignore-vaccine-effects
3•EA-3167•20m ago•0 comments

USN-8717-1: Apache Tika vulnerability – Ubuntu security notices

https://ubuntu.com/security/notices/USN-8717-1
2•kyisaiah47•24m ago•0 comments

Muse, the band, lost its social media handles to Muse, Meta's new AI agent

https://www.engadget.com/2254419/muse-the-band-lost-its-social-media-handles-to-muse-meta-s-new-a...
12•_djo_•30m ago•1 comments

Show HN: Herdr Agents Fleet on your phone with TermRover

https://termrover.sh/blog/herdr-agent-fleet-mobile/
1•ptgamr•30m ago•0 comments

Show HN: Botbin – Pastebin for AI agent artifacts

https://botbin.io/
1•obilgic•31m ago•0 comments

Show HN: Text-to-SQL picks tables before RLS runs – demo in the browser

https://ashishsinha1602.github.io/schemagate/
1•asinha0216•35m ago•0 comments

Automattic's board forces CEO Matt Mullenweg into leave of absence

https://techcrunch.com/2026/09/09/automattics-board-forces-ceo-matt-mullenweg-into-leave-of-absence/
8•LeoPanthera•38m ago•0 comments

AI May Become the Third Superpower

https://www.wsj.com/opinion/ai-may-become-the-third-superpower-1f7700dc
1•gmays•38m ago•0 comments

Show HN: ORC8R, one-click compute for devs, no ops required, demo available

https://orc8r.com/docs/quickstart
2•ORC8R•42m ago•2 comments

Ask HN: What's your AI coding set up?

4•asxndu•43m ago•1 comments

Hybrid approach to creating low poly game-ready 3D assets using AI models

https://playwarpact.com/blog/lowpoly-hybrid/
3•kodefreeze•43m ago•1 comments

Show HN: Ambient Context v1.0.0 (Missing context for AI assistants)

https://github.com/dragthelake/ambient-context/releases
2•Dramatize•47m ago•0 comments

I Let an AI Agent Hack All My Gadgets–and I'd Do It Again

https://www.wired.com/story/i-used-ai-to-hack-my-home-network/
3•thomadev0•48m ago•0 comments

Things that testers wished they'd learned earlier

https://www.functionize.com/blog/16-things-that-testers-wished-theyd-learned-earlier
2•ohjeez•51m ago•0 comments

Show HN: EmbedFlow –> Upgrade embedding models without re-embedding your corpus

https://github.com/arnsri33/embedflow
5•coolArnav•53m ago•1 comments

Astrophysical Journal adopts new guidelines on AI use

https://journals.aas.org/news/new-guidelines-on-ai-use-in-aas-journals/
1•tomr_stargazer•55m ago•1 comments

World's First: Minor Authors Public License for Expression (Maple-1.0)

https://openrockets.com/research/maple/v1/
2•interkids•1h ago•0 comments

Prosecutors allege man used AI to scrape court website

https://www.abc.net.au/news/2026-09-10/christopher-duff-to-stand-trial-over-nsw-ai-court-data-bre...
2•yeetosaurusrex•1h ago•1 comments

Artificial Intelligence Markup Language

https://en.wikipedia.org/wiki/Artificial_Intelligence_Markup_Language
3•marvinborner•1h 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.