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UK is banning children's social media use. Here's what other countries are doing

https://apnews.com/article/social-media-ban-children-global-glance-40595c56b1431880bd9a50857408ee83
1•1vuio0pswjnm7•45s ago•0 comments

Microsoft Weighs DeepSeek for Copilot Cowork

https://www.axios.com/2026/06/16/microsoft-copilot-cowork-tokenmaxxing-cowork
1•somenameforme•3m ago•0 comments

US holds off blacklisting China's DeepSeek, +100 firms deemed security risks

https://www.reuters.com/world/china/us-holds-off-blacklisting-chinas-deepseek-more-than-100-firms...
2•giuliomagnifico•4m ago•0 comments

Florida AG sues TikTok in latest move against tech giants

https://www.politico.com/news/2026/06/15/florida-lawsuit-tiktok-uthmeier-childrens-safety-00962084
1•1vuio0pswjnm7•6m ago•0 comments

Can gzip be a language model?

https://nathan.rs/posts/gzip-lm/
2•asasidh•9m ago•1 comments

Greenville TX "Welcome Sign" – The Story Behind

https://dallasgateway.com/greenville-tx-welcome-sign/
1•thunderbong•11m ago•0 comments

AmigaOS 2: The Greatest Upgrade

https://www.datagubbe.se/os20up/
1•HotGarbage•13m ago•0 comments

How agentic AI is rewiring Amazon's teams and upending its traditions

https://www.geekwire.com/2026/how-agentic-ai-is-rewiring-amazons-teams-and-upending-its-traditions/
1•Gaishan•14m ago•1 comments

How the UK Plans to Keep Children Off Social Media

https://www.bloomberg.com/news/articles/2026-06-15/social-media-ban-for-uk-s-under-16s-how-will-p...
1•1vuio0pswjnm7•16m ago•0 comments

DOJ claims xAI's gas turbines are a matter of 'national and energy security'

https://techcrunch.com/2026/06/16/doj-claims-xais-unpermitted-gas-turbines-are-a-matter-of-nation...
2•dlgeek•18m ago•1 comments

My router said sonnet. The invoice said fable

https://ax.necmttn.com
1•necmttn•24m ago•0 comments

Algorithmic Information Theory Data Compression Challenge

https://arxiv.org/abs/2606.17712
1•ahsillyme•24m ago•0 comments

Diary of a Disabled DJ – Entry 2

https://samhenrycliff.medium.com/diary-of-a-disabled-dj-entry-2-c64e31907ee5
1•6stringmerc•28m ago•0 comments

Chrome Extension That Disguises Claude as a Google Doc

https://twitter.com/om_patel5/status/2066011171967127643
2•vantareed•29m ago•0 comments

Made verifiable auth with no central credential store to breach. roast it

https://tidesupreme.github.io/
2•sashyo•29m ago•0 comments

Show HN: Loomcycle – a sidecar runtime for AI agents (Go binary, Apache-2.0)

https://github.com/denn-gubsky/loomcycle
2•denn-gubsky•34m ago•0 comments

Semiclassical Gravity Efficiently Solves NP-Complete Problems

https://arxiv.org/abs/2606.14806
4•ascarshen•34m ago•0 comments

Mastra compromised in supply chain attack

https://www.endorlabs.com/learn/mastra-npm-org-compromised-multiple-packages-trojanized-to-drop-a...
3•bugvader•35m ago•2 comments

Token spend is not token capital

https://twitter.com/TJWXF3/status/2067080353081356313
3•tomjwxf•36m ago•0 comments

Not everything needs to be groundbreaking

https://pipsthoughts.substack.com/p/not-everything-needs-to-be-groundbreaking
2•PenPressman•37m ago•1 comments

Malaysia's AI agent-powered messaging app Respond.io raises $62.5M

https://techcrunch.com/2026/06/15/malaysias-respond-io-raises-62-5m-eyes-acquisitions-in-north-am...
2•doppp•42m ago•0 comments

I Built a POS App for Businesses That Still Use Notebooks and Excel

https://www.indiehackers.com/post/i-built-a-pos-app-for-businesses-that-still-use-notebooks-and-e...
2•cas8398•42m ago•0 comments

US approval of Paramount/Warner Bros. deal surprised DOJ lawyers, report says

https://arstechnica.com/tech-policy/2026/06/us-approval-of-paramount-warner-bros-deal-surprised-d...
8•derbOac•49m ago•0 comments

Agentic Grocery Shopping on Uber Eats

https://www.uber.com/us/en/blog/uber-cart-assistant/
2•samrohn•49m ago•1 comments

Indian telecom operator Reliance sabotages Telegram access outside India

https://twitter.com/durov/status/2066945969854234977
3•aayushdutt•56m ago•0 comments

Show HN: SciFigureAI – AI figure maker for research papers

https://scifigureai.com
2•jiangyifeng•59m ago•0 comments

ZFSBootMenu

https://zfsbootmenu.org
4•porjo•1h ago•0 comments

Headroom

https://github.com/chopratejas/headroom
2•marc__1•1h ago•0 comments

Helios: Turn Code into Video

https://www.heliosrender.com
2•wahnfrieden•1h ago•0 comments

Upgrading My Git Embedding Program for Zig 0.16

https://louislefebvre.net/tech/zig-upgrade-16/
2•louislef299•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.