frontpage.
newsnewestaskshowjobs

Open Source @Github

fp.

Using Claude hosted agents to solve open source bugs and perf improvements

https://github.com/marketplace/jaipilot
1•surajkrajan•4m ago•1 comments

What Is Braille?

https://afb.org/blindness-and-low-vision/braille/what-braille
1•andsoitis•6m ago•0 comments

Vero: Can AI Agents Build Formally Verified Software Repositories?

https://vero.verina.io/
1•matt_d•7m ago•0 comments

DEF Con 19: Skunkworks: Daniel Beckwitt on Bitcoin in 2019 [video]

https://www.youtube.com/watch?v=Yj2blBX2iBw
1•nodesocket•8m ago•1 comments

Are You in Danger of Becoming a Robot?

https://nautil.us/are-you-in-danger-of-becoming-a-robot-1284114
1•Brajeshwar•8m ago•0 comments

Show HN: Live Sports

https://tipoffwatch.com/sports
1•buffer_overlord•9m ago•0 comments

Moonlander Ergonomic Keyboard

https://www.zsa.io/moonlander
1•andsoitis•14m ago•0 comments

The Hidden Pipeline Behind AI Search Visibility

https://medium.com/the-discovery-collective/the-hidden-pipeline-behind-ai-search-visibility-d4e9c...
1•rakeshmenon•14m ago•1 comments

Compile-Time Improvements in LLVM 23

https://aengelke.net/llvm23-ct.html
1•matt_d•15m ago•0 comments

AI's potential climate benefits outweighed by role in boosting fossil fuels

https://www.theguardian.com/technology/2026/aug/11/ai-will-do-more-to-boost-fossil-fuel-productio...
1•bryanrasmussen•15m ago•0 comments

While government reviews aged care algorithm, waitlists are growing

https://www.abc.net.au/news/2026-08-23/independent-assessment-tool-four-corners-mark-butler-aged-...
1•ahonhn•16m ago•0 comments

Drop_file_cache: Evict cached data for files/directories without root

https://github.com/shenwei356/drop_file_cache
1•shenwei356•19m ago•0 comments

Humanoid robots surpass human records in 100M, high jump

https://www.espn.com/olympics/story/_/id/49692320/humanoid-robots-surpass-human-records-100m-high...
2•geox•19m ago•1 comments

Who is the founder of 0x Alpha?

https://openrouter.ai
1•LYFMail•20m ago•0 comments

Show HN: Mokup – Backend not ready? Mock API responses in Chrome DevTools

https://chromewebstore.google.com/detail/mokup-mock-apis-in-devtoo/pemnjopjhbagogaojfgcfamailepnebb
1•pxdev•22m ago•0 comments

Quantum Mathematics for Modeling BioPhysics (including BioOS v2 software)

https://zenodo.org/records/22064550
1•GeometryKernel•22m ago•0 comments

Show HN: TDILEARNED – a rabbit-hole machine

https://til-seven.vercel.app/
1•mythiix•32m ago•0 comments

T&T Homes Elite Rivera

https://www.facebook.com/groups/ttvinhlong.chinhthuc/posts/1053828987263728/
1•phuocphamrealty•32m ago•0 comments

Andreessen Horowitz Focus of DOJ Probe over Board Directors

https://finance.yahoo.com/technology/ai/articles/andreessen-horowitz-focus-doj-probe-171350711.html
1•ah27182•35m ago•0 comments

SpliceKit for Final Cut Pro – Command Palette and MCP Server

https://splicekit.fcp.cafe/
1•danboarder•37m ago•0 comments

StageX: Eliminating Single Points of Failure in Linux Distributions [pdf]

https://codeberg.org/stagex/whitepapers/raw/branch/main/out/stagex.pdf
1•networked•37m ago•0 comments

Four Years Ago, a Crypto Boss Went Missing. Now His Successor Has

https://www.nytimes.com/2026/08/23/world/europe/poland-estonia-cryptocurrency.html
6•ilamont•38m ago•2 comments

Activity Monitor for AI Application on Mac OS X

https://popy.app/apps/corral
1•kulekci•43m ago•0 comments

Hundreds of leaked AWS keys give full control over corporate accounts

https://www.bleepingcomputer.com/news/security/hundreds-of-leaked-aws-keys-give-full-control-over...
2•Brajeshwar•47m ago•0 comments

Cyberleek Viewer based on-chain (no browser needed)

https://github.com/ZeroHackz/cyberleek-viewer
1•zerolines•48m ago•0 comments

The Covid-19 scandal is still unfolding

https://www.economist.com/united-states/2026/08/20/the-real-covid-19-scandal-is-still-unfolding
9•bediger4000•50m ago•3 comments

Show HN: One portal for all your MCP servers

https://onemcp.dev/
2•ddoronin•55m ago•0 comments

Palantir's Karp – frontier AI labs that are 'trying to drug addict us'

https://www.cnbc.com/2026/08/03/palantir-karp-open-ai-anthropic-open-weight.html
7•rishabhd•1h ago•1 comments

Liberal Families Are Looking Pretty Traditional

https://www.theatlantic.com/ideas/2026/08/democrat-liberal-conservative-traditional-family/688369/
2•loughnane•1h ago•0 comments

The Decline of America's Public Pools

https://www.theatlantic.com/health/archive/2024/08/america-is-ignoring-its-public-pools/679428/
2•loughnane•1h ago•1 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.