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Wanted to download an ISO, ended up writing a kernel exploit

https://blog.dfb.sh/blog/eap770-root-for-two-zeros/
1•0xdeafbeef•32s ago•0 comments

What's on That Access Port?

https://danielmangum.com/posts/whats-on-that-access-port/
1•hasheddan•2m ago•0 comments

R and Python and the Holy Grail

https://miketalbot.io/blog/posts/2026-10-04-r-and-python-with-positron/
1•speckx•3m ago•0 comments

Apple's Minions: A virtual GPU cloud built from idle Apple Silicon Macs

https://machinelearning.apple.com/research/distributed-gpu-cloud
2•acossta•4m ago•0 comments

Elissa AI

https://github.com/inginddie/elissa
1•inginddie•4m ago•0 comments

The Lord's Prayer in Coptic (final stage of Egyptian language pre-Arabic)

https://www.youtube.com/watch?v=aoHxMxXXKyI
1•KoftaBob•5m ago•0 comments

Qwen3.8-Omni: Towards Native Omni-Modal Agents

https://arxiv.org/abs/2609.25611
1•teleforce•5m ago•0 comments

Did Anthropic Just Lose Its Biggest Customer?

https://www.vincentschmalbach.com/did-anthropic-just-lose-its-biggest-customer/
1•vincent_s•6m ago•0 comments

Worlds More Habitable Than Earth? They're Out There

https://www.nytimes.com/2026/10/13/science/inhabitable-planets-solar-system.html
1•cainxinth•7m ago•0 comments

Curated YouTube Playlists for Search Fundamentals and Technical SEO

https://developers.google.com/search/blog/2026/10/seo-learning-paths
1•digitalmayurbha•7m ago•0 comments

Why AI companies are paying a premium to go off the grid and what this costs us

https://energyathaas.wordpress.com/2026/10/05/buying-time-burning-gas/
2•ck2•7m ago•0 comments

Show HN: I built a 100% declarative WAF. Try to hack it for research

https://prologwaf.site/
1•lokinpendawa•8m ago•1 comments

Legacy Carmakers Seen Losing Mass Market to Chinese Rivals

https://www.bloomberg.com/news/articles/2026-10-13/legacy-carmakers-seen-losing-mass-market-to-ch...
2•toomuchtodo•9m ago•1 comments

Formula 1 returns to Africa with 10-year agreement to race in Rwanda

https://www.formula1.com/en/latest/article/formula-1-returns-to-africa-with-10-year-agreement-to-...
1•tosh•9m ago•0 comments

iPhone Takes Bigger Slice of a Shrinking Smartphone Market

https://www.macrumors.com/2026/10/13/iphone-takes-bigger-slice-of-shrinking-market/
1•tosh•9m ago•0 comments

Speculative Sauropods

https://svpow.com/2026/10/02/speculative-sauropods/
1•surprisetalk•10m ago•0 comments

How to let a coding agent port your code and know what it ported

https://jscpd.dev/blog/when-code-clones-matter
1•andreypk•11m ago•0 comments

Show HN: Oxynote – Self-hosted wiki with live Prometheus/SQL charts and reviews

https://github.com/oxynote/oxynote
2•davseby•14m ago•0 comments

Agent Conversion – Can AI agents use your website?

https://agent-conversion-coral.vercel.app/en/research/d001
2•ivanpugnaire•17m ago•0 comments

Using the Wrong Dictionary (2014)

https://jsomers.net/blog/dictionary
3•hangsi•17m ago•0 comments

Show HN: Magic Tools Hub – 112 PDF tools that run in the browser

https://www.magictoolshub.com/
2•magictoolshup•20m ago•0 comments

Show HN: Let your agents create product demo for you

https://www.fluxcut.dev
2•loveTech•21m ago•0 comments

Jev handed our LLM the wrong page a tenth as often as our embeddings

https://sayora.ai/many-hands/jev-vs-embeddings/
6•Bocajmai•21m ago•3 comments

Building an evidence-grounded agentic security operations harness on Cloudflare

https://blog.cloudflare.com/agentic-security-operations/
2•hnp9j9qtda•21m ago•0 comments

My self-hosted infrastructure as code

https://codeberg.org/infrastructure-lch361-net
2•lch361•21m ago•0 comments

Exposing why every AI launch goes viral on X [video]

https://www.youtube.com/watch?v=xNgQtzEl4lY
4•qwertyforce•22m ago•0 comments

Orbital Data Centers Risk Becoming Military Targets in Space

https://www.bloomberg.com/news/articles/2026-10-13/orbital-data-centers-risk-becoming-military-ta...
2•sbulaev•23m ago•0 comments

Cyber attack on French supermarket fridges raises alarm over food security

https://www.ft.com/content/6908a0ce-ffdd-4ea9-b376-d35d362639f3
3•sbulaev•23m ago•0 comments

Single technology is killing oil demand

https://climatemoney.substack.com/p/this-single-technology-is-killing
4•speckx•24m ago•0 comments

Show HN: Stepbook – run long agent tasks as short steps with saved state

https://github.com/bahdan111/stepbook
3•bahdankap•26m 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.