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My Thoughts on Agentic Coding

https://vucenovic.dev/blog/agentic-coding-thoughts/
1•avucenovic•3m ago•0 comments

Run frontier LLMs on sovereign EU infrastructure

https://corti.ai/models
1•guillego•5m ago•0 comments

Arrayref v0.3.10 and v0.3.11 compromised on crates.io

1•stevefan1999•7m ago•0 comments

Show HN: Ollama served my 40k-context model at 4k, silently

https://github.com/Bigbonus/ollama-context-window-check
1•satoshiakiyama•8m ago•0 comments

Nutrition standards for AI-designed foods across borders

https://www.worldsolve.org/?view=problem&id=5047
1•pep-6067•12m ago•0 comments

"everyone I know is canceling software and rebuilding internally"

https://twitter.com/frantzfries/status/2090114938723344644
1•nreece•14m ago•0 comments

Show HN: Editor UI toolkit for building AI writing workflows

https://imperavi.com/redactor/ai-assistant/
1•lessio•15m ago•0 comments

The Future of Computing: Logic or Biology (2003) [pdf]

https://www.microsoft.com/en-us/research/wp-content/uploads/2016/12/The-Future-of-Computing.pdf
1•nz•18m ago•0 comments

Show HN: Worldarchitect.ai – AI TTRPG GM with rules and campaign sharing

https://worldarchitect.ai/shared/t3hKKtzBKCKlvg5vCnlW_2hxwH3UmzjFq56yi6hQN2Q
1•jleechan2015•21m ago•2 comments

UnlimitedNIM – Proxy that makes Nvidia Nim's 40 RPM feel unlimited

https://github.com/shivnathtathe/UnlimitedNIM
1•shivnathtathe•21m ago•0 comments

Founder of Chinese property giant Evergrande sentenced to life in prison

https://www.bbc.com/news/articles/cd0x9mjjmgjo
4•ZeljkoS•23m ago•0 comments

A proposed browser standard for provider-agnostic AI inference

https://github.com/SamSamskies/inference-provider-api
1•fiatjaf•24m ago•0 comments

Show HN: A Company Ethics Search Engine for 5500 Companies

https://mashinii.com
1•smashini•26m ago•1 comments

Two ways to make Opus 5 concise

https://hjerpbakk.com/blog/2026/08/20/making-opus-5-concise
2•Sankra•28m ago•1 comments

Environment Embodied Intelligence

https://camerongordon0.substack.com/p/environment-embodied-intelligence
1•iciac•29m ago•0 comments

Willow and poplar trees are making air quality in cities worse by releasing VOCs

https://www.nature.com/articles/d41586-026-02586-2
1•giuliomagnifico•30m ago•0 comments

At Beijing AI-themed bar, DeepSeek tokens come with the pints

https://www.reuters.com/world/asia-pacific/beijing-ai-themed-bar-deepseek-tokens-come-with-pints-...
1•earthpyy•33m ago•0 comments

Raycast 2.0 Released

https://www.raycast.com/new
3•jbverschoor•36m ago•0 comments

Oh My OpenCode Slim

https://fabiobiffi.com/2026/oh-my-opencode-slim-free-multi-agent-programming-with-opencode-big-pi...
1•fabiobiffi•37m ago•0 comments

Raycast 2.0 Released

https://www.raycast.com/index
1•jbverschoor•37m ago•1 comments

World Solve: A citable list of 4,094 world problems for startups and researchers

https://www.worldsolve.org/
1•pep-6067•38m ago•0 comments

The ST-412 10MB full height 5.25" HDD

https://www.redhill.net.au/d/1.php
1•walrus01•40m ago•1 comments

Meditation isn't just one thing

https://nimishg.substack.com/p/meditation-isnt-just-one-thing
2•i_dont_know_•41m ago•1 comments

AI Coding Agents Adoption Trends

https://blog.jetbrains.com/research/2026/08/ai-coding-agent-adoption-2026/
2•nreece•44m ago•0 comments

Moderna pins hopes on mRNA 'game-changer' for cancer vaccines

https://www.ft.com/content/cd52173f-5863-4996-93b2-c4adb81ad210
1•TooSmugToFail•46m ago•0 comments

Fungi found on coconut husks can decompose plastic, sunscreen

https://www.hawaii.edu/news/2026/05/11/coconut-fungi-decompose-plastic/
5•thunderbong•51m ago•0 comments

Spotify Soloist, official terminal client for headless and DIY setups

https://developer.spotify.com/blog/2026-08-13-introducing-spotify-soloist
2•mdrzn•52m ago•0 comments

I've built an iOS Lockscreen Calendar inspired by an old jailbreak Cydia tweak

https://apps.apple.com/de/app/lockcal/id6794340782
1•daymir•53m ago•1 comments

Offline RAG on iOS with Spatial Integration

1•CartoType•56m ago•0 comments

How does a USB keyboard work? (2021) [video]

https://www.youtube.com/watch?v=wdgULBpRoXk
1•nesk_•57m 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.