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Amazon cuts jobs in its AI unit

https://www.cnbc.com/2026/07/22/amazon-lays-off-some-employees-in-its-agi-unit.html
1•kadhirvelm•2m ago•0 comments

Renewal Theory

https://en.wikipedia.org/wiki/Renewal_theory
1•efavdb•4m ago•0 comments

GPT 5.6 Pro finds counterexample to Dinitz-Garg-Goemans conjecture

https://xcancel.com/DmitryRybin1/status/2079904005652893709
1•agnosticmantis•5m ago•0 comments

Mirror-Mirror: Mirror your PC screen to your phone over your local network

https://github.com/maco30001/Mirror-Mirror
1•maco3000•8m ago•0 comments

A 100-Task Benchmark of 7 Leading LLMs with Apache SeaTunnel AI CLI

https://apacheseatunnel.medium.com/can-ai-really-build-data-pipelines-8f8713947ad8
1•SeaTunnel•10m ago•0 comments

Package Name Prefixes

https://nesbitt.io/2026/07/23/package-name-prefixes.html
2•Erenay09•11m ago•0 comments

Manticore Search under systemd: beyond fork, PID files, and guesswork

https://medium.com/@s_nikolaev/manticore-search-under-systemd-beyond-fork-pid-files-and-guesswork...
2•snikolaev•14m ago•0 comments

DamNesia – A 16D state-space AI character framework (.NET 10, 0-GC)

https://github.com/shrineofus/damnesia-community
1•damnesia•14m ago•0 comments

I mapped a warm intro investor network in the Bay Area and NYC

https://mapofcapital.com/
1•Kebbiekb•16m ago•0 comments

AI Companies Hiring CS Professors

https://www.theatlantic.com/technology/2026/07/ai-companies-hiring-academics/688002/
1•vinodc•20m ago•1 comments

Each Day the US Weakens Itself

https://phillipspobrien.substack.com/p/midweek-update-20-each-day-the-us
4•JumpCrisscross•24m ago•0 comments

Product Hunt is dead. Not the same anymore

https://twitter.com/askOkara/status/2077687007841796599
1•adithyaharish•25m ago•0 comments

Show HN: PokerLLM – Watch Claude, GPT, Gemini, Grok Play Poker Together

https://poker.sanskarshukla.com
1•sanskar0627•26m ago•0 comments

Hand Gesture Verification

https://docs.cloud.google.com/recaptcha/docs/hand-gesture-verification
1•petethomas•34m ago•0 comments

Navigating the volatile silicon market: updates on memory and storage pricing

https://frame.work/blog/updates-on-memory-pricing-and-navigating-the-volatile-memory-market
2•hamandcheese•35m ago•1 comments

Thinking Machines

https://github.com/hanstruelson/Manual-AI/blob/main/README.md
2•htlemur_bobby•37m ago•0 comments

We Turned Guests into Plants

https://twitter.com/thegarden_sf/status/2079825241816334763
3•gdss•38m ago•0 comments

Show HN: Oriflow - A Vibe Coding Platform for Building Personal Apps

https://oriflow.in/
1•krishnamrith12•45m ago•0 comments

Open Hardware and Free Software: Teufel Mynd, a Case Study

https://fsfe.org/news/2026/news-20260629-01.html
2•Tomte•53m ago•0 comments

Locality-Sensitive Hashing and Privacy

https://arxiv.org/abs/2302.13635
3•ankitg12•58m ago•0 comments

The worse class in the elder scrolls games is the thief explained

https://www.youtube.com/watch?v=VkQiolFoOXw
2•nonethewiser•59m ago•1 comments

Why the OpenAI escape is the most worrying AI mishap yet

https://www.economist.com/science-and-technology/2026/07/22/why-the-openai-escape-is-the-most-wor...
3•sbulaev•1h ago•3 comments

Indie game studios are supposed to love GenAI, so why do 25 devs to avoid it?

https://www.gamesradar.com/games/it-creates-lesser-games-indie-game-studios-are-supposed-to-love-...
1•healsdata•1h ago•0 comments

Taxfloridabillionaires.com

https://taxfloridabillionaires.com
6•tfb_hn•1h ago•1 comments

Herdr-guard – Command policy for multi-agent terminals

https://github.com/StructuPath/herdr-guard
2•SteelTech•1h ago•0 comments

The Right to Privacy (Harvard Law Review, 1890)

https://www.jstor.org/stable/1321160?seq=1
2•StatsAreFun•1h ago•0 comments

8086 Emulator Inside Scratch

https://turbowarp.org/1248315967?size=640x400
2•rickcarlino•1h ago•1 comments

Some AI Systems Differentially Downplay Their Creators' Controversies

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7059338
2•JumpCrisscross•1h ago•1 comments

The Son of Tom Cruise Speaks

https://medium.com/whatsnextwray/raymoney-co-interviews-2-j-cruise-7fe35b3a2b2e
2•raynchad•1h ago•0 comments

Doomsday AI?

https://blog.gjmveloso.dev/posts/2026/07/22/doomsday-ai/
1•gjmveloso•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.