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Proactive AI for Superintelligent Agents

https://research.google/pubs/proactive-ai-for-superintelligent-agents/
1•theanonymousone•5m ago•0 comments

Ask HN: What happened to Anti-Virus suites?

1•scanny•6m ago•1 comments

The McGurk effect: what you see changes what you hear

https://www.transitivebullsh.it/projects/the-mcgurk-effect
1•transitivebs•6m ago•1 comments

Meta Opens Muse Spark's Weights with Strings Attached

https://ailately.com/articles/meta-muse-spark-open-weights
1•ryanedennis•7m ago•0 comments

Comparison of Browser Engines

https://en.wikipedia.org/wiki/Comparison_of_browser_engines
1•andsoitis•8m ago•0 comments

Open Source Without the Open Door

https://abbykearns.substack.com/p/open-source-without-the-open-door
1•gpi•10m ago•0 comments

We found a Tencent agent fleet

https://swarmcha.se/posts/chinese-agent-fleet-full-report
2•rurban•11m ago•1 comments

Show HN: SpeakoFlow – Free, open-source voice typing for Windows, Mac and Linux

https://www.speakoflow.com/
1•AbhishekBarali•11m ago•0 comments

ConvyCanvas – AI Tutor for Euclid's Elements

https://convycanvas.com/elements/reader/#euclid_i/prop_001
1•atomicnature•13m ago•0 comments

Raz is a new programming language that compiles to C++

https://github.com/marboris/razlang
1•mehrabsp•14m ago•0 comments

Retired UPenn professor arrested after blocking Uber Eats robots

https://www.phillyvoice.com/philly-woman-arrested-uber-eats-robot-protest/
2•danso•14m ago•1 comments

The AI Paradox

https://www.youtube.com/watch?v=dcolM6W5Odc
1•penguin_booze•14m ago•0 comments

Show HN: UAC-Less Sudo for Windows

https://github.com/parkovski/wsudo
1•parkovski•17m ago•0 comments

The Rise of the Meritocracy (1958)

https://en.wikipedia.org/wiki/The_Rise_of_the_Meritocracy
3•theanonymousone•19m ago•0 comments

The Ronco Principle

https://paulgraham.com/ronco.html
3•tosh•20m ago•0 comments

Ask HN: How are you all ensuring your AI code isn't slop?

https://github.com/trypando/pando
1•bemeeker•20m ago•1 comments

A free .si domain checker with real registry data and sales comps

https://worthly.si/
1•mousabelhag•22m ago•0 comments

Hermes Agent: My containerized take

https://ricardodevries.com/blog/hermes-agent-my-containerized-take
2•ricardodevries•23m ago•0 comments

It's time to make your own RSS reader

https://tailscale.com/blog/self-hosted-rss-reader-freshrss
2•Brajeshwar•26m ago•1 comments

I built a mood tracker that helps you understand why you feel the way you do

https://apps.apple.com/us/app/moodpulse-mood-tracker/id6760206782
1•jimmy_lee•26m ago•0 comments

Some plants use carbon from fungi in addition to photosynthesis

https://scienceandfiction.net/stories/46_well-connected/
3•hhartmann•27m ago•1 comments

Creating Apps in SailfishOS Using Golang: Daemons and Stuff

https://chrastecky.dev/programming/creating-apps-in-sailfish-os-using-golang-daemons-and-stuff
1•Rikudou•27m ago•0 comments

Copycat Websites: The Endless Mayfly Network (2020)

https://casebook-static.pages.dev/case-studies/copycat-websites-endless-mayfly-network/
1•eustoria•27m ago•0 comments

US federal budget deficit jumps 12% in one year to nearly $2 Trillion

https://finance.yahoo.com/economy/policy/article/the-us-federal-budget-deficit-for-2026-just-came...
3•ck2•28m ago•2 comments

Capturing 400 American Girls and Their Most Meaningful Objects

https://petapixel.com/2026/10/17/photographer-spends-six-years-capturing-400-american-girls-and-t...
1•eustoria•28m ago•0 comments

Open and Emergent Problems in Agentic Privacy and Security

https://research.google/pubs/open-and-emergent-problems-in-agentic-privacy-and-security-a-context...
1•eustoria•29m ago•0 comments

The Engineering Behind the Internet [video]

https://www.youtube.com/watch?v=NiCgcUTL9_Q
2•gmays•31m ago•0 comments

CVE-2026-49950 and Why Upgrading Xinference Isn't Enough

https://medium.com/@husenet/cve-2026-49950-and-why-upgrading-xinference-isnt-enough-dd3c1f75deac
3•wondersky•33m ago•0 comments

Polymarket saw $600M in election trades after the elections were over

https://www.wired.com/story/over-dollar600-million-traded-on-polymarket-election-contracts-after-...
2•wondersky•37m ago•0 comments

Show HN: Open Scrantic – Johnny Castaway in Rust, from Disassembly via REA

https://github.com/glauberlima/open-scrantic
1•glauber•38m 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.