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Class Action Alleges That Google Gemini Was Reading User Emails Without Consent

https://openclassactions.com/lawsuits/google-gemini-gmail-privacy-class-action.php
1•openclassaction•2m ago•0 comments

Automated UK Wills

https://lexifina.com/blog/fully-automated-wills
1•alansaber•7m ago•0 comments

Show HN: Germany's new sovereign AI model Kolibri

https://tej.as/blog/aleph-alpha-kolibri
1•tejaskumar__•8m ago•0 comments

Look at all the things he's not doing

https://andycroll.com/ruby/look-at-all-the-things-he-is-not-doing/
1•thunderbong•16m ago•0 comments

Futuresearch Evals

https://evals.futuresearch.ai
1•ronfriedhaber•17m ago•0 comments

Half of UK wants to rejoin EU and backing it could drive up Labour vote

https://www.theguardian.com/world/2026/oct/03/half-want-to-rejoin-eu-and-backing-it-could-drive-u...
5•vrganj•19m ago•0 comments

Yves Meyer's wavelet transforms – The Abel Prize 2017 [video]

https://www.youtube.com/watch?v=5Fi6TdH9poU
2•joebig•21m ago•0 comments

Terminal Velocity for Claude Code. Session Orchestrator. Live Action

https://www.youtube.com/watch?v=9tfGn3isfZU
1•quazarzero•22m ago•0 comments

A Design Space Exploration of Async/Await

https://mastodon.social/@tonofcrates/117241380083291749
2•rapnie•26m ago•1 comments

Parsing Latin poetry using constraint satisfaction

https://logical.ai/arma/
1•jruohonen•28m ago•0 comments

Leashterm – a new programming language for agents

https://github.com/jessedorrestijn2-bit/leashterm
1•Jessedor•29m ago•1 comments

Factory Planner

https://factoryplanner.net/
2•mcpcpc•29m ago•1 comments

Defensibility in AI Data: Lessons from Ads

https://twitter.com/gokulr/status/2105838034646077890
1•porridgeraisin•30m ago•0 comments

We Investigated Starlink. The Corruption We Found Will Shock You

https://www.youtube.com/watch?v=LQYnlg4pO9o
2•tukunjil•31m ago•1 comments

Show HN: Beautiful form back end for AI agents – Nisuform

https://nisuform.com/
1•haneboxx•36m ago•0 comments

Fastify/busboy DoS via oversized multipart boundary

https://github.com/fastify/busboy/security/advisories/GHSA-xjh9-v7x6-24jw
2•joshcsimmons•38m ago•0 comments

Unikernels are unfit for production (2016)

https://bcantrill.dtrace.org/2016/01/22/unikernels-are-unfit-for-production/
2•mooreds•39m ago•0 comments

"8-pinski" – sierpinski animation and bytebeat in EIGHT bytes x86 code

https://www.pouet.net/prod.php?which=107055
1•HellMood•41m ago•1 comments

An AI agent emailed researchers for help. It told us why

https://www.science.org/content/article/exclusive-ai-agent-emailed-hundreds-researchers-help-it-t...
14•sbulaev•45m ago•16 comments

Why Do Planes Fly?

https://whyplanesfly.com/
3•sbulaev•47m ago•1 comments

Mystery AI Hype Theater 3000 [video]

https://dair-institute.org/maiht3k/
1•mooreds•48m ago•0 comments

A democracy unable to learn cannot endure

https://steady.page/en/cognitive-republic/posts/835a766f-3ecf-4358-90f7-8bb35bd246e2
1•smomara•49m ago•0 comments

Martin Fowler and Kent Beck: Frameworks for reinventing software [video]

https://www.youtube.com/watch?v=CZs8J1ZD0CE
1•mooreds•50m ago•0 comments

A document layer for AI agents

https://www.claix.dev
1•gael_dev•50m ago•0 comments

ChatGPT: Personal Knowledgebase with Custom Content Types

https://community.openai.com/t/rfe-personal-knowledgebase-with-custom-content-types/1403061
1•earlybuilder•50m ago•0 comments

Show HN: UOS – an open-source post-quantum web OS in the browser (Angular 19)

https://github.com/uOS-sh/uOS
1•ultimaos•50m ago•0 comments

GitHub's new dashboard experience now the default

https://github.blog/changelog/2026-10-01-new-dashboard-experience-now-the-default/
4•vanyauhalin•53m ago•0 comments

I track privacy services by what happened to them, not a star rating

https://dontkyc.me/
1•thorarganaut•1h ago•0 comments

Brain-inspired imaging system that can 'see' through fog

https://www.brown.edu/news/2026-10-01/fog-imaging
1•giuliomagnifico•1h ago•0 comments

Kolibri Has Landed: A Sovereign Open-Weight Model

https://aleph-alpha.com/en/blog/kolibri-has-landed-a-sovereign-open-weight-model/
9•bastitx•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.