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Forgot your Google password? Now you can log in with a selfie

https://arstechnica.com/gadgets/2026/07/google-now-lets-you-log-into-your-account-with-a-selfie/
1•pseudolus•3m ago•0 comments

Intel stock jumps as it rides AI boom to fastest revenue growth in almost 15 yrs

https://www.cnbc.com/2026/07/23/intel-intc-earnings-report-q2-2026.html
1•ekorbia•9m ago•0 comments

Cosmological constant from Standard Model spin

https://zenodo.org/records/21515348
1•kisnorbert•9m ago•0 comments

Andrew Graham-Dixon on Vermeer, a Forgotten Sect, Underrated Artists (Ep. 284)

https://conversationswithtyler.com/episodes/andrew-graham-dixon/
1•paulpauper•10m ago•0 comments

Frontier intelligence, 10x lower cost

https://www.mixlayer.com/
1•becomevocal•11m ago•0 comments

Show HN: Life Tile – Passive time tracker that shows your day as a Mondrian grid

https://apps.apple.com/us/app/life-tile-auto-tracker/id6767332648
1•choyongjoon•14m ago•0 comments

Rising stars of mathematics awarded prestigious 2026 Fields Medal

https://www.nature.com/articles/d41586-026-02169-1
2•maxall4•14m ago•0 comments

Fred Wilson – The Clarity Act

https://avc.xyz/the-clarity-act
1•rmason•15m ago•0 comments

Australia to AI: Produce More Power Than You Burn, Stop Content 'Theft'

https://www.theregister.com/ai-and-ml/2026/07/15/australia-demands-ai-companies-must-produce-more...
2•gnabgib•15m ago•0 comments

Preliminary Assessment of Kimi K3's Cyber Capabilities

https://www.aisi.gov.uk/blog/preliminary-assessment-of-kimi-k3s-cyber-capabilities
2•antondd•16m ago•0 comments

Pixel phones getting ad notifications

3•explodes•17m ago•2 comments

If AI companies avoid AI slop, shouldn't we?

https://www.machinesociety.ai/p/if-ai-companies-avoid-ai-slop-shouldnt
3•mikelgan•23m ago•1 comments

Patreon Lays Off 20 Percent of Its Workforce

https://www.404media.co/patreon-lays-off-20-percent-of-its-workforce/
9•cdrnsf•35m ago•0 comments

Saying Goodbye to My Office

https://manilsuri.substack.com/p/on-saying-goodbye-to-my-office
5•tzury•37m ago•0 comments

Palo Alto Networks Plans to Buy Embrace in Observability Push

https://www.morningstar.com/news/dow-jones/202607219336/palo-alto-networks-plans-to-buy-embrace-i...
2•pranay01•40m ago•0 comments

Measuring the Performance Cost of High Availability in Postgres

https://clickhouse.com/blog/postgresbench-ha
3•saisrirampur•44m ago•0 comments

Middleware that catches when LLM conversations slowly drift off-topic

https://github.com/ojki74/hallucinatoff
1•ojki•48m ago•0 comments

Feral cats fail at urban rodent control (2018)

https://wildlife.org/rats-feral-cats-fail-at-urban-rodent-control/
5•vector_spaces•48m ago•0 comments

Now on the American Road: Bulletproof Cars

https://www.nytimes.com/2026/07/20/style/armored-cars-bulletproof-american-drivers.html
2•bookofjoe•49m ago•1 comments

The Visual 6502

http://visual6502.org/JSSim/index.html
8•infiniteregrets•51m ago•4 comments

How working out at the gym replaced the home improvement project

https://www.cnn.com/2026/07/23/business/gyms-millennials-gen-z-equinox
2•mooreds•54m ago•1 comments

China won the car wars with cheap EVs loaded with technology

https://www.rnz.co.nz/news/world/782063/how-china-won-the-car-wars-with-cheap-evs-loaded-with-tec...
13•billybuckwheat•59m ago•1 comments

The Online MBA

https://theonline.mba
4•multiplesauces•59m ago•1 comments

The Elm Architecture, Without Elm

https://bichanna.github.io/posts/tea-time/
3•theanonymousone•59m ago•0 comments

Sherlock Search – find anyone by photo

https://sherlocksearch.net
2•thefirstname322•1h ago•0 comments

AI bet goes awry: Oracle fires 21,000 employees

https://www.jpost.com/business-and-innovation/tech-and-start-ups/article-903442
6•willmarch•1h ago•1 comments

About 1 in 4 workers keep unwanted jobs for health insurance, poll finds

https://www.washingtonpost.com/business/2026/07/24/about-1-4-workers-keep-unwanted-jobs-health-in...
5•bookofjoe•1h ago•1 comments

Show HN: Verified B2B leads with the reason to reach out now

https://madleadz.com/
1•not_wowinter14•1h ago•0 comments

CodeCrafters – Build Your Own <X> repo

https://github.com/codecrafters-io/build-your-own-x
3•matthberg•1h ago•0 comments

Ukraine's Kill Zone

https://www.reuters.com/graphics/UKRAINE-CRISIS/KILL-ZONE/znpnojmknvl/
7•mathgenius•1h 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.