frontpage.
newsnewestaskshowjobs

Open Source @Github

fp.

Pushing UberDDR3 Frequency Through RTL Cleanup

https://www.openiphub.com/post/pushing-uberddr3-frequency-through-rtl-cleanup-post-18
1•peter_d_sherman•32s ago•0 comments

Traverse – [Horizontal] OPML Outliner for macOS

https://apps.shakingthehabitual.com/traverse/
1•treetalker•51s ago•1 comments

Bridging Models' Internal States

https://mostik.ai/read-more
1•ashvardanian•1m ago•0 comments

CHC5: Open Camera System – Image Sensor Specification Comparison

https://www.circuitvalley.com/2026/08/chc5-open-camera-sensor-comparison-specification.html
1•devoxel•2m ago•0 comments

Show HN: PuPPT – slide renderer and inline editor for PPT/PPTX (Golang/no deps)

https://github.com/artpar/puppt
1•artpar•3m ago•0 comments

On the Loose

https://www.hyperdimensional.co/p/on-the-loose
1•jdkee•6m ago•0 comments

US judge blocks Trump's newest order limiting birthright citizenship

https://www.reuters.com/world/us-judge-wont-immediately-block-trumps-newest-order-limiting-birthr...
2•tartoran•6m ago•0 comments

US charges two former Linqto CEOs over $450M 'pre-IPO' fraud scheme

https://www.reuters.com/legal/government/us-charges-two-former-linqto-ceos-over-450-million-pre-i...
2•tartoran•8m ago•0 comments

She backed body positivity. He's a scientist. Both are on GLP-1s

https://www.thetimes.com/life-style/health-fitness/article/glp1-jabs-body-positivity-matter-of-fa...
2•paulpauper•9m ago•0 comments

Inference-only expert boost saves 8.5% reasoning tokens in Qwen 35B MoE

https://zenodo.org/records/22255483
2•ConteMascetti71•9m ago•0 comments

Google Engineer Accused of Polymarket Insider Trading Says He Was Just Gambling

https://www.wired.com/story/google-engineer-accused-of-polymarket-insider-trading-says-he-was-jus...
2•paulpauper•10m ago•0 comments

Ask HN: How to get taken seriously while using AI?

1•askHN2026•11m ago•0 comments

Ex-White House teleprompter operator ordered pay $172,000 for Trump speech bets

https://www.bbc.com/news/articles/c4gj2dl4x52o
2•paulpauper•11m ago•0 comments

The holy grail of nixpkgs: version ranges

https://fzakaria.com/2026/09/01/the-holy-grail-of-nixpkgs-version-ranges
3•domenkozar•13m ago•0 comments

Co-Designing AI Models Using Speculative Decoding for Faster LLM Inference

https://developer.nvidia.com/blog/co-designing-ai-models-using-speculative-decoding-for-faster-ll...
1•buildbot•14m ago•0 comments

VC isn't VC anymore – understanding the rise of Cancer Capital

https://www.anildash.com/2026/09/02/cancer-capital/
2•cdrnsf•14m ago•0 comments

Squeezing Performance Out of eBPF

https://bitbison.io/blog/ebpf-performance/
2•matt_d•14m ago•0 comments

Open source ML programming language playground

https://sw-ml-study.github.io/sw-mlpl/
2•softwarewrighte•14m ago•1 comments

Creator of Lua: You Can Interpret C and Compile Python [video]

https://www.youtube.com/watch?v=4cWFOQQjLvk
2•adletbalzhanov•16m ago•0 comments

Show HN: NoiseVanish – review-first background-noise cleanup for audio and video

https://noisevanish.com
2•robot1996•17m ago•0 comments

Reasons Robotics Is Hard

https://secondthoughts.ai/p/14-reasons-robotics-is-hard
2•ddp26•17m ago•0 comments

The FBI Is Seeking 152 Cyber Positions After Its Headcount Fell by 2,080

https://www.federalhiringdata.com/articles/sality-fbi-cybercrime-workforce-2026
2•ycombinatronics•17m ago•0 comments

People can sense their own mental decline: new research powered by smartwatches

https://www.seattletimes.com/nation-world/people-can-sense-mental-decline-says-new-research-power...
1•bookofjoe•18m ago•1 comments

LinkedIn or Interpol – The Game

https://linkedin-or-interpol.com/
1•fscaramuzza•19m ago•0 comments

Elon Musk Wants to Make Power-Turbine Components. It Won't Be Easy

https://www.wsj.com/business/elon-musk-wants-to-make-power-turbine-components-it-wont-be-easy-682...
2•apparent•23m ago•1 comments

"Intransitive", a board game [video]

https://www.youtube.com/watch?v=LO_zcGNJriA
1•zahlman•24m ago•1 comments

Pushdown automata in statistical machine translation (2014)

https://dl.acm.org/doi/abs/10.1162/coli_a_00197
2•brandonb•26m ago•0 comments

CSS Is Still Awesome

https://jasonsantamaria.com/blog/css-is-still-awesome
1•mpweiher•26m ago•0 comments

Quantum Health hacked: patient records, SSNs, RX, etc. exposed

https://www.hipaajournal.com/quantum-health-precision-imaging-centers-heart-america-data-breaches/
2•niij•28m ago•0 comments

SaaSpocalypse

https://mail.bigdeskenergy.com/p/saaspocalypse
1•rmason•29m 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.