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AI Data Centers Not Paying Their Costs, Will Keep Using NDAs and Seek Tax Breaks

https://www.warren.senate.gov/newsroom/press-releases/ai-data-center-companies-reveal-to-warren-b...
1•DeepLogin•8m ago•0 comments

Code Security Review Tool

https://reviewcode.org/
3•cphr•10m ago•0 comments

JetBrains Air

https://www.jetbrains.com/air/
2•ivanjermakov•15m ago•0 comments

Anthropic bans users from needless abusive or cruel behavior towards Claude

https://www.anthropic.com/news/2026-usage-policy-update
2•lopatin•18m ago•0 comments

Lumentum sold out of AI server parts till 2029

https://www.japantimes.co.jp/business/2026/10/09/companies/lumentum-ai-server-sold-out/
3•giuliomagnifico•20m ago•0 comments

WARC (File Format)

https://en.wikipedia.org/wiki/WARC_(file_format)
2•tosh•21m ago•0 comments

Jeyzma is TypeSafeAI minus $850M plus Go/TinyGo/llama.cpp in the browser

https://jeyzma.com/
1•deadprogram•22m ago•0 comments

Haydn-01 – music recognition and text model

https://twitter.com/generativexp/status/2108400091954286910
1•quicheshore2003•24m ago•0 comments

Anonymous Surveys with Authentication Using RSA Blind Signatures

https://blogs.lupyd.com/blog/introducing-noon-anonymous-form-submissions/
2•tenesripranav•26m ago•0 comments

Apple Watch Connector for Android, Linux, Windows

https://github.com/LordixDemon/apple_watch_connector
1•avipars•30m ago•0 comments

Interactive Museum of Windows Media Player Skins

https://wmp-skin-museum.mitpit.com/
1•MitPitt•31m ago•0 comments

WebSocket Servers in JavaScript: Node.js, Bun and Deno in 2026

https://lemire.me/blog/2026/10/10/websocket-servers-in-javascript-node-js-bun-and-deno-in-2026/
2•smilelamp•40m ago•0 comments

Show HN: Save photo, video, and audio from websites in one step

https://menura.download
7•haneboxx•44m ago•0 comments

Ctrl + Shift + A to search tabs on Firefox

https://gist.github.com/radiantly/f18ea1fd06d8dd328b6ae64b6fa7cb36
3•calmingsolitude•52m ago•0 comments

Division by zero in common meadows (nicer fields)

https://arxiv.org/abs/1406.6878
5•fanf2•56m ago•0 comments

GATE – A Godot Engine GDScript Superset

https://github.com/Blade67/GATE
3•liminal-dev•56m ago•0 comments

Senate Investigation Challenges Big Tech's Case for AI Data Centers

https://time.com/article/2026/10/08/senate-investigation-ai-data-centers/
4•snikolaev•1h ago•0 comments

OpenAI's New ChatGPT Watermark Breaks If You Edit One Word in Four

https://rews.cc/a/openai-s-new-chatgpt-watermark-breaks-if-you-edit-one-word-i-37eb4a
5•ojosilva•1h ago•1 comments

I earned $100 from premium subscription of this extension in 30 days

https://chromewebstore.google.com/detail/digital-shield-tab-suspen/pkonihncnkmbejhhjadaognganhinnhc
5•digitaShida•1h ago•1 comments

Show HN: Open Components – UI Components standard for people, devs and AI agents

https://opencomponents.dev/
3•alexgrozav•1h ago•1 comments

Show HN: Chrome Relay – background tabs in your real Chrome for coding agents

https://github.com/aindeev/agent-chrome-relay
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Helium Terminal – A tiny macOS terminal for coding agents, built on libghostty

https://helium-terminal.bensarmiento.com/
6•yowmamasita•1h ago•1 comments

Anthropic can't reliably control its AI agents, cuts internet access

https://techcrunch.com/2026/10/09/anthropic-cant-reliably-control-its-ai-agents-its-cutting-off-i...
6•sbulaev•1h ago•3 comments

The hazy OpenAI growth metric driving Wall Street

https://www.ft.com/content/62653892-2333-4953-a8d5-cfd760ae3257
4•sbulaev•1h ago•0 comments

Show HN: Printable Calendar

https://printcalendarx.com/
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PhotoCraft Online – A browser editor with English guides

https://photocraftonline.org/
1•visiohex•1h ago•0 comments

Study on AI coding agents finds gains "absorbed" by human review "bottleneck."

https://arstechnica.com/ai/2026/10/ai-coding-agents-generate-more-code-but-not-more-software/
4•evolve2k•1h ago•1 comments

A Rant About Two Things: AI and the People Who Rant About AI

https://www.patreon.com/FluffyQuack/posts/rant-about-two-168230683
2•turpentine•1h ago•0 comments

The Power of Constraint Solvers

https://btmc.substack.com/p/the-awesome-power-of-constraint-solvers
1•sirwhinesalot•1h ago•0 comments

Phone 18 Pro in Everyday Life: Upgrades That Matter – and the Ones You Can Skip

https://thetechboom.com/2026/10/10/iphone-18-pro-everyday-life-real-benefits-australia/
2•ninyeh•1h ago•1 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.