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Show HN: Rust compiler converting CPGs to Nuclei YAML

https://github.com/Tito0015/cpg-nuclei-compiler
1•Tarek-M•4m ago•0 comments

Bazel's UX is really, really, really bad

https://blog.appliedcomputing.io/p/bazels-ux-is-really-really-really
1•thunderbong•4m ago•0 comments

YC Summer '26 Batch

https://www.neweconomies.co/p/y-combinator-summer-26-batch
1•ollieforsyth•4m ago•0 comments

How much of your coding is done by AI coding agents these days?

https://slashdot.org/poll/3284/how-much-of-your-coding-is-done-by-ai-coding-agents-these-days
1•e12e•5m ago•0 comments

JetBrains says Cadence was breached after a critical TeamCity patch was missed

https://blog.jetbrains.com/pycharm/2026/08/cadence-security-incident-august-2026/
1•lbw1215•7m ago•0 comments

Show HN: Life Compass – A life planning app built on The 7 Habits

https://lifecmp.com
1•michaelwang100•8m ago•0 comments

Rooting a fire hd 10 because apparently I have problems

https://voidnullvalue.github.io/SnuSnuRoot/
1•voidnullvalue•14m ago•0 comments

Slopmancer

https://slopmancer.com
1•pj4533•15m ago•1 comments

Crossplane AI Contribution Policy

https://github.com/crossplane/crossplane/blob/main/AI_POLICY.md
1•gpi•17m ago•0 comments

Claude Fable 5.1 tightens restrictions on reusing thinking blocks

https://platform.claude.com/docs/en/build-with-claude/thinking
2•firexcy•17m ago•0 comments

BotEmbed – a site-aware chatbot you embed with one script tag

https://www.botembed.ai
1•tuckerzd•24m ago•0 comments

Claude Fable 5.1 made me a nice animated pelican

https://simonwillison.net/2026/Sep/1/claude-fable-5-1/
2•elsewhen•25m ago•0 comments

Cognition Set to Raise Around $1B at a $47B Valuation

https://www.bloomberg.com/news/articles/2026-09-02/ai-startup-cognition-set-to-raise-around-1-bil...
1•gk1•30m ago•0 comments

Apple Maps Changes Lake Ontario to Lake America After Trump Order

https://www.bbc.com/news/articles/cddvyyz0e47o
4•andsoitis•31m ago•2 comments

Pivotal CEO left the eVTOL company

https://techcrunch.com/2026/09/01/larry-pages-flying-car-company-pivotal-loses-its-ceo/
1•paaloeye•33m ago•2 comments

Offering Zero Data Retention for frontier models

https://openai.com/index/offering-zero-data-retention-for-frontier-models/
3•gmays•40m ago•0 comments

Intel replaces Intel Fellow title after nearly 50 years

https://www.oregonlive.com/silicon-forest/2026/09/intel-drops-fellow-designation-for-its-top-scie...
3•osnium123•43m ago•0 comments

Important Security Update for Plex Media Server v1.43.2 and Earlier

https://forums.plex.tv/t/important-security-update-for-plex-media-server-v1-43-2-and-earlier/942319
2•akersten•52m ago•0 comments

Anthropic banned me for "suspicious signals"

https://kix.codes/anthropic-banned-me-for-suspicious-signals/
2•kixpanganiban•52m ago•0 comments

State of Local AI Report

https://www.basecompute.co/stateoflocalai
3•lukasonedge•53m ago•1 comments

$64B of data center projects have been blocked or delayed amid opposition

https://www.datacenterwatch.org/report
3•sensanaty•59m ago•0 comments

The ZX Spectrum sound chip hidden in a 1992 DOS game's Tandy driver

https://utopia.platesteel.net/phantom/
3•duncanbowring•1h ago•0 comments

LLMs and Self-Referentiality

https://scottaaronson.blog/?p=10046
1•mavdol04•1h ago•0 comments

Compilers 2.0: AI as stochastic optimizer

https://twitter.com/cdleary/status/2094878051238887834
2•matt_d•1h ago•0 comments

Gelman: Shocked by Ariely 2002 replication failure

https://statmodeling.stat.columbia.edu/2026/08/31/shocked/
1•jsw97•1h ago•0 comments

How an MIT research project became a global programming language

https://news.mit.edu/2026/how-mit-research-project-became-global-programming-language-0831
5•pella•1h ago•0 comments

Consider that alignment may not be possible

https://12gramsofcarbon.com/p/tech-things-consider-that-alignment
1•theahura•1h ago•0 comments

Janet 1.42.0

https://github.com/janet-lang/janet/releases/tag/v1.42.0
2•birdculture•1h ago•0 comments

Remove background noise from audio/video in the browser, free preview

https://removebackgroundnoise.app/
2•jieliu_rbn•1h ago•0 comments

Mac App Store Apps Can Now Drop Support for Intel Macs

https://www.macrumors.com/2026/09/01/mac-app-store-intel-mac-support/
6•seam_carver•1h ago•2 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.