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Reading About the (2008) Financial Crisis: A 21-Book Review, by Andrew Lo (2012) [pdf]

https://www.stat.berkeley.edu/~aldous/157/Papers/lo.pdf
1•ggcr•23s ago•0 comments

C++26: Std:Hive

https://www.sandordargo.com/blog/2026/09/02/cpp26-hive
1•jandeboevrie•1m ago•0 comments

People Keep Sneaking into New York City Sewers. No One Knows Why

https://www.nytimes.com/2026/08/30/nyregion/manholes-sewers-nyc.html
1•paulpauper•3m ago•0 comments

Continuous Profiling and UI Profiling

https://sentry.io/changelog/continuous-profiling-and-ui-profiling/
1•imangsgu•4m ago•0 comments

We built our house for LAN parties

https://lanparty.house/
1•fittingopposite•4m ago•0 comments

Controlling when CSS custom property values are computed

https://jakearchibald.com/2026/css-custom-property-compute-time/
1•ingve•6m ago•0 comments

Show HN: Genetic Distance Map

https://p.migdal.pl/genetic-distance-map/
1•stared•7m ago•0 comments

Another heart drug fails, previously assumed to be the vanguard of a new era

https://www.nytimes.com/2026/09/04/science/heart-drug-fails-novartis-pelacarsen.html
2•marojejian•9m ago•1 comments

Sci-Fi Films Are Becoming More Optimistic

https://storytellingprogress.substack.com/p/sci-fi-films-are-becoming-more-optimistic
1•paulpauper•9m ago•1 comments

User-guide-driven development with coding agents

1•hosamsh•10m ago•0 comments

The Kalshi Citizen Debt Forecast (CDF)

https://marginalrevolution.com/marginalrevolution/2026/09/the-kalshi-citizen-debt-forecast-cdf.html
1•paulpauper•10m ago•0 comments

Norway could become the first country to ban AI smart glasses

https://neow.in/cmUxYnB3
1•bundie•13m ago•0 comments

Bootstrapping Mechanical Correctness

https://artagnon.com/art/regress
1•artagnon•14m ago•0 comments

A sourced timeline of 249 documented AI milestones

https://achievements.ai/
1•umermirzapk•14m ago•0 comments

Show HN: Openrobots

https://openrobots.vercel.app
1•richard_baecker•18m ago•0 comments

Show HN: I made a list of the vulnerabilities I got on my blog

https://seiji.reachpad.app/cves.html
1•sakuraiben•20m ago•0 comments

Least convenient location in Los Angeles

https://notes.secretsauce.net/notes/2015/08/16_least-convenient-location-in-los-angeles-from-kore...
1•dima55•21m ago•0 comments

$15M effort to get to Alpha Centuri in 80K years

https://arstechnica.com/space/2026/09/private-group-wants-to-launch-cheapest-possible-mission-to-...
2•gumby•21m ago•0 comments

Copernicus: Daily global sea surface temperature breaks 2024 record

https://climate.copernicus.eu/copernicus-daily-global-sea-surface-temperature-breaks-2024-record
3•gmays•23m ago•0 comments

Yogurt and human health across history, culture, and science

https://www.sciencedirect.com/science/article/pii/S1279770726001752
2•geox•25m ago•0 comments

We have a loop that grabs every available EC2 node in the classes we need

https://twitter.com/samlambert/status/2096072501831106975
1•tosh•31m ago•0 comments

"MP3 is dead" missed the real, better story (2017)

https://marco.org/2017/05/15/mp3-isnt-dead
3•Tomte•32m ago•0 comments

The Hugging Face attack surprised me

https://www.planned-obsolescence.org/p/the-hugging-face-attack-surprised
3•gmays•32m ago•0 comments

Mapping codebases via 3js force graphs

https://creview.io/
3•swupel•36m ago•2 comments

James Bond, pt. 1 (a View to Kill)

https://007.danieldeboulay.com
1•deboulaymxf•37m ago•0 comments

Google restricted Gmail after press outreach; five appeals stayed system-only

https://dossier.reasoner.pl/#google-track
2•marekfocus•39m ago•0 comments

Health warnings could reduce youth's hours spent on social media

https://www.euronews.com/health/2026/09/05/health-warnings-could-reduce-youths-hours-spent-on-soc...
3•Markoff•39m ago•0 comments

Job postings show early signs of AI automation impact

https://www.dallasfed.org/research/economics/2026/0901
2•theanonymousone•41m ago•1 comments

Google skates

https://pluralistic.net/2026/09/05/divorce-court/
3•hn_acker•44m ago•0 comments

Effective Bureaucracy

https://sackfield.substack.com/p/effective-bureaucracy
2•sackfield•47m 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.