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Reusing obsolete Windows 10 PCs for on-premises large language model inference

https://www.frontiersin.org/journals/computer-science/articles/10.3389/fcomp.2026.1911927/full
1•TMWNN•16s ago•0 comments

Reachability and error diagnosis in LR(1) parsers [pdf]

https://gallium.inria.fr/~fpottier/publis/fpottier-reachability.pdf
1•fanf2•2m ago•0 comments

Abbe's Diffraction Theory of Microscopic Perception (+ Intro to Fourier Optics) [video]

https://www.youtube.com/watch?v=Kj4zk91TVwo
1•joebig•3m ago•1 comments

OpenEngine CLI v1.5

https://openengine.cc/docs/cli-reference/
1•aerxes•3m ago•1 comments

Agent-history CLI – Fast OMZ/Bash cmd to jump between recent AI coding sessions

https://github.com/aaronbronow/agent-history
1•aaronbronow•3m ago•0 comments

Agents Behaving Badly: engineering the inner loop to preserve review attention

https://bradleygibbs.dev/posts/agents-behaving-badly/
1•bradleygibbs•8m ago•0 comments

Global Innovation Index 2026 [pdf]

https://www.wipo.int/web-publications/global-innovation-index-2026/assets/110523/2000-2026-en-glo...
1•gmays•10m ago•0 comments

A hand-crafted, CPU-only agent clears all 25 public ARC-AGI-3 games

https://zenodo.org/records/23269727
2•SingarajB•14m ago•0 comments

Show HN: Reducing an OpenAI proof by 25% in a few hours

https://github.com/offline-ant/wiggums-proof-loop
1•athrowaway3z•14m ago•0 comments

Tutorial for Septabee, a free DAW been making for over 20k hours [video]

https://www.youtube.com/watch?v=lW8Z98pXuSE
1•hgo•20m ago•0 comments

Bag of Decisions Reranker

https://softwaredoug.com/blog/2026/10/08/bag-of-decisions
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https://elements.dev/
1•mathec•22m ago•0 comments

Apple Shares Slide After Report of iPhone 18 Pro Component Order Cuts

https://www.gadgetreview.com/apple-shares-slide-after-report-of-iphone-18-pro-component-order-cuts
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https://github.com/filippofinke/cad-studio
2•filippofinke•26m ago•0 comments

Gotcha: GitHub Custom Properties are public

https://www.jvt.me/posts/2026/10/08/github-custom-properties-public/
2•zdw•27m ago•0 comments

My Gen-Z Intern Thinks Showing Up to Work Is Optional [video]

https://www.youtube.com/watch?v=I0jZry5CUYs
1•donsupreme•29m ago•1 comments

The keynote I thought I was going to give at Rails World

https://robbyonrails.com/articles/2026/10/09/the-keynote-i-thought-i-was-going-to-give/
2•robbyrussell•29m ago•0 comments

Lexaro, a word-ladder game and the graph-theory problem of generating fair games

https://lexarogame.app/
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An open record of the Erdos problems

https://github.com/plasma-ai/erdos
1•ryanpettry•31m ago•0 comments

Show HN: Organize Tabs – Chrome extension that dedupes PRs, tickets and profiles

https://www.jontsai.com/2026/10/10/organize-tabs-2-0
1•jontsai•35m ago•0 comments

Problems in 22 scientific fields had solutions hiding in plain sight. An AI has

https://www.science.org/content/article/problems-22-scientific-fields-had-solutions-hiding-plain-...
2•sbulaev•37m ago•0 comments

You Don't Understand What Just Happened to Mathematics [video]

https://www.youtube.com/watch?v=KqiDqJMxg6o
4•fabianhjr•38m ago•0 comments

No Man Is an Island

https://borretti.me/article/no-man-is-an-island
43•zetalyrae•40m ago•15 comments

Me, but You, but Me (2010)

https://blog.anaisbetts.org/posts/me-but-you-but-me/
3•NaOH•45m ago•0 comments

The One Question I Can't Stand at Restaurants

https://www.theatlantic.com/culture/2026/10/restaurant-phone-number-question/688926/
2•samizdis•45m ago•0 comments

R&D doesn't pay pharma shareholders. What does?

https://www.baybridgebio.com/blog/pharma_returns
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ClickHouse outcompresses Parquet: Surprises from our migration

https://tomalard.github.io/posts/clickhouse-outcompresses-parquet-surprises-from-our-migration/
4•TomAlard•47m ago•0 comments

Netflix plans to cut 5% of its workforce

https://www.reuters.com/business/media-telecom/netflix-plans-cut-5-its-workforce-puck-news-report...
14•theanonymousone•47m ago•0 comments

Making a not-jailbreak in 3 weeks

https://www.hrtowii.dev/blog/making-a-not-jailbreak-in-3-weeks/
1•davikr•48m ago•0 comments

Ask HN: What is your favorite book of all time, and why?

2•chistev•50m ago•2 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.