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How to Smash the Memory Wall Plaguing High Performance Systems

https://www.nextplatform.com/store/2026/09/16/how-to-smash-the-memory-wall-plaguing-high-performa...
1•rbanffy•1m ago•0 comments

Thomson Reuters: Thomson-1.0-Small

https://huggingface.co/thomsonreuters/Thomson-1.0-Small
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AI Poster Prompts Improved

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1•ereiamjh•4m ago•1 comments

Frontier Overhangs

https://stratechery.com/2026/frontier-overhangs/
1•swolpers•6m ago•0 comments

New air traffic control failure delays flights at UK airports

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1•rstreefland•10m ago•0 comments

You have more influence over the future than you think

https://sharif.io/better-future
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Quantum Gravity, UAPs, Wormholes

https://twitter.com/JackSarfatti/status/2101775865789223054
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Linker I/O tricks and their downsides

https://maskray.me/blog/linker-io-tricks-and-their-downsides
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Engineering Memory: Thoughts on learning to memorize first 100 digits of pi

https://gregorygundersen.com/blog/2024/12/21/engineering-memory/
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Finding Bugs

https://matklad.github.io/2026/09/19/finding-bugs.html
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Intel Ends Its $100k Bug Bounty Program

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The PopuList

https://popu-list.org/
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Dialedin – Put your lab PDFs, protocols and daily logs on one timeline

https://dialedin.bio
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Trump Ramps Up Bid to Dismantle International Criminal Court

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Notorious cybercrime group claims hijack of rival's website

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1•HelloUsername•41m ago•0 comments

Rust+Box2D Browser Physics Sandbox with Multiplayer

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Nvidia boss says there is '0% chance' AI destroys the world by 2030

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Kaohsiung adds new hub to semiconductor corridor

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iFixit Teardown: iPhone 18 Pro and Pro Max

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Jev 1.13 Jaggedness

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TPM-Attest: Hardware-Rooted Anti-Cheat Alternative for Linux

https://arxiv.org/abs/2609.20909
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Nimble takes some text and a schema, and makes typed decisions about the text

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A Dangerous Castle

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Generating Artist-Like 3D Mesh Topology via Nearest-Vertex Vector Fields

https://derkleineli.github.io/triflow/
1•ibobev•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.