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Microsoft event debuts new AI-friendly hardware and Windows changes

https://arstechnica.com/gadgets/2026/10/microsoft-event-debuts-new-ai-friendly-hardware-and-windo...
1•rlv-dan•39s ago•0 comments

Mathematics Is Not Real

1•RAWGOD•4m ago•0 comments

Studying metagaming latents in language models

https://alignment.openai.com/metagaming-latents/
1•Klaster_1•7m ago•0 comments

Hawaiian Harmony Reviews and Complaints 2026 ( Read Before Buying)

https://script.google.com/macros/s/AKfycbwa0L-VYEKBZYw-ZwhH_9RStnRil53WbgddYtT5ySEQ6xLMnVSa_WBcue...
1•tasyhauq•13m ago•0 comments

The state of the tech industry in 2026

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2•qikouki•14m ago•1 comments

Steve Krouse's Readme

https://stevekrouse.com/readme
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The nuclear clock has begun ticking

https://www.eurekalert.org/news-releases/1146229
2•geox•16m ago•0 comments

Xeal to Launch Edge Inference Compute Using Idle EV Charging Capacity

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1•JumpCrisscross•17m ago•0 comments

The Hagedorn Temperature (2003)

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Tools Ecosystem

https://100r.ca/site/tools_ecosystem.html
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Rabbit Waves

https://rabbitwaves.ca/
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Death Grips – The Story You Never Knew

https://www.youtube.com/watch?v=Wv0lDc5XpH0
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Show HN: Pacer – will your AI coding subscription last until the reset?

https://github.com/dkremsa/claude-pacer
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AI Changed the Team, Not the Process

https://www.compile.la/ai-changed-the-team-not-the-process/
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Language-model ratings of depression reflect the rater more than the patient

https://arxiv.org/abs/2610.08501
1•sbulaev•42m ago•0 comments

An Upper Bound of 9/4 for the Matrix Multiplication Exponent [pdf]

https://github.com/openai/math/blob/main/preprints/Matrix-Multiplication-Nine-Fourths-October-2-2...
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In Defense of White Chocolate

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I Will Wait

https://throwawaythoughts.blog/
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Alang Ship Breaking Yard

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Self-Modeling Interventions Modulate Emergent Misalignment

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Towards Efficient HPC Systems for Agents: Challenges and Opportunities

https://arxiv.org/abs/2609.38723
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The Science That Has Oil Companies Running Scared

https://www.nytimes.com/2026/10/06/opinion/oil-companies-supreme-court.html
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Show HN: A utility microservice for human trust

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The 3dfx Voodoo Turns 30 – interview with cofounder Ross Smith

https://www.club386.com/3dfx-voodoo-history-ross-smith-interview/
4•nickt•1h ago•0 comments

Mozilla met with Microsoft to discuss their harmful design practices

https://www.reddit.com/r/firefox/comments/1wzzk6l/mozilla_met_with_microsoft_to_discuss_their/
12•botanical•1h ago•1 comments

A 100x faster* alternative to homebrew

https://github.com/zerobrewhq/zerobrew
2•cachebag•1h ago•0 comments

Was the Human Gut Healthier in Ancient Times?

https://www.nytimes.com/2026/10/07/science/microbiome-evolution-hadza-tsimane.html
1•gumby•1h ago•1 comments

Paper Mono Typeface

https://paper.design/mono
3•miguel-muniz•1h ago•4 comments

Application compatibility layers are there for the customer (2010)

https://devblogs.microsoft.com/oldnewthing/20100311-00/?p=14643/
1•crispinh•1h ago•0 comments

A Categorical Analysis of LLMs and the Symbol Grounding Problem (2025)

https://arxiv.org/abs/2512.09117
2•rockwindmemento•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.