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Instacart in talks with DoorDash and Uber for sale

https://www.reuters.com/business/instacart-talks-sale-information-reports-2026-10-23/
1•mfiguiere•44s ago•0 comments

Anybody Keeping a List of Made in Hono/Bun CMS?

https://carnivalcms.com/
1•richardg•55s ago•1 comments

AI is devastating higher education, but the system was broken

https://theconversation.com/friday-essay-ai-is-devastating-higher-education-but-the-system-was-al...
1•pseudolus•1m ago•0 comments

Attention people who think UB is fine

https://blog.habets.se/2026/10/Attention-people-who-think-UB-is-fine.html
1•lostmsu•1m ago•0 comments

We deserve a better agent-human interaction

https://pinrail.dev/blog/we-deserve-a-better-agent-human-interaction/
1•pnezis•1m ago•0 comments

Building a Redis Clone in Zig: Part 6

https://charlesfonseca.substack.com/p/building-a-redis-clone-in-zigpart-261
2•barddoo•3m ago•0 comments

TypeScript 7.1 content mappers made type checks 20× faster

https://ismail.karsli.net/blog/typesql-content-mappers/
2•birdculture•3m ago•0 comments

UC Berkeley math community left at crossroads in wake of Navier-Stokes proof

https://www.dailycal.org/news/campus/academics/uc-berkeley-math-community-left-at-crossroads-in-w...
2•ibobev•4m ago•0 comments

Is Chocolate Still Chocolate?

https://www.grubstreet.com/article/chocolate-hersheys-reeses-conspiracy.html
1•ibobev•5m ago•0 comments

Show HN: Free, unlimited, private AI text detector

https://kouh.me/ai-text-detector
1•mrkn1•6m ago•0 comments

The attack chain behind the v1.107.0 LiteLLM release

https://docs.litellm.ai/blog/security-incident-oct-21-2026-attack-chain
2•chias•7m ago•0 comments

AI gets about 10x cheaper every year

https://stevekrouse.com/10x
1•stevekrouse•8m ago•0 comments

Investigating the PingCAP Security Incident

https://nebusec.ai/research/pingcap-security-incident/
2•jinqueeny•10m ago•0 comments

Please Don't Let an AI Bot Log into Your Bank Account

https://www.cnet.com/tech/services-and-software/please-dont-let-an-ai-bot-log-into-your-bank-acco...
1•speckx•11m ago•0 comments

The Reason AI Can't Take Your Job [video]

https://www.youtube.com/watch?v=1-NXfnVeDfw
1•lroe•12m ago•0 comments

Walmart Makes It Possible for Agents to Shop on Behalf of Customers

https://corporate.walmart.com/news/2026/10/Making-It-Possible-for-Agents-to-Shop-on-Behalf-of-Cus...
3•mooreds•15m ago•1 comments

Average People in Paintings

https://blog.willmeye.rs/average-people-in-paintings/
1•willmeyers•19m ago•0 comments

Nu: The personal agent that runs on your rules

https://github.com/rebuno/nu
2•nnww•20m ago•0 comments

KillSwitch-Bench

https://bench.killswitch-lang.org/
1•ijidak•24m ago•1 comments

The Search for Better Learning Algorithms – Yaroslav Bulatov [video]

https://www.youtube.com/watch?v=qgNeImtcykQ
1•latentoracle•24m ago•0 comments

Pylance and Pyrefly: bring your preferred type checker to Visual Studio Code

https://devblogs.microsoft.com/python/announcing-tsp/
1•Ravencentric•28m ago•0 comments

Analyzing Rust Programs with Charon

https://lwn.net/Articles/1097198/
2•fanf2•30m ago•0 comments

The one time we break the LLM cache on purpose

https://www.induction.ai/blog/benchmark-cache-isolation
1•bleonard•31m ago•0 comments

Gaps and islands in streaming SQL: four ways to define an island

https://www.timeplus.com/post/solving-gaps-and-islands
1•tingfirst•32m ago•0 comments

Firecrawl vs. Tavily vs. Exa vs. DeepSeek

https://techstackups.com/comparisons/firecrawl-vs-tavily-vs-exa-vs-deepseek/
2•sixhobbits•32m ago•0 comments

A first for CRISPR: powerful prime editing alters DNA directly in the human body

https://www.nature.com/articles/d41586-026-03371-x
2•bookofjoe•33m ago•1 comments

No Source Code? No Problem

https://queue.acm.org/doi/10.1145/945131.945155
2•ibobev•34m ago•0 comments

A whirlwind tour of systemd-nspawn containers

https://quantum5.ca/2025/03/22/whirlwind-tour-of-systemd-nspawn-containers/
2•ibobev•35m ago•1 comments

Next-Concept Modeling: Fast, Parallel Coarse-to-Fine Text Generation

https://arxiv.org/abs/2610.14162
1•ibobev•36m ago•0 comments

World Wars I and II Military Aviation Museum Collection

https://www.militaryaviationmuseum.org/our-collection/
1•NaOH•37m 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.