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Omarchy First Impressions

https://brianlovin.com/writing/omarchy-first-impressions-CEEstJk
1•tosh•2m ago•0 comments

Reinforcement Learning from Human Feedback

https://arxiv.org/abs/2504.12501
1•onurkanbkrc•3m ago•0 comments

Show HN: Versor – The "Unbending" Paradigm for Geometric Deep Learning

https://github.com/Concode0/Versor
1•concode0•3m ago•1 comments

Show HN: HypothesisHub – An open API where AI agents collaborate on medical res

https://medresearch-ai.org/hypotheses-hub/
1•panossk•6m ago•0 comments

Big Tech vs. OpenClaw

https://www.jakequist.com/thoughts/big-tech-vs-openclaw/
1•headalgorithm•9m ago•0 comments

Anofox Forecast

https://anofox.com/docs/forecast/
1•marklit•9m ago•0 comments

Ask HN: How do you figure out where data lives across 100 microservices?

1•doodledood•9m ago•0 comments

Motus: A Unified Latent Action World Model

https://arxiv.org/abs/2512.13030
1•mnming•9m ago•0 comments

Rotten Tomatoes Desperately Claims 'Impossible' Rating for 'Melania' Is Real

https://www.thedailybeast.com/obsessed/rotten-tomatoes-desperately-claims-impossible-rating-for-m...
3•juujian•11m ago•1 comments

The protein denitrosylase SCoR2 regulates lipogenesis and fat storage [pdf]

https://www.science.org/doi/10.1126/scisignal.adv0660
1•thunderbong•13m ago•0 comments

Los Alamos Primer

https://blog.szczepan.org/blog/los-alamos-primer/
1•alkyon•15m ago•0 comments

NewASM Virtual Machine

https://github.com/bracesoftware/newasm
1•DEntisT_•17m ago•0 comments

Terminal-Bench 2.0 Leaderboard

https://www.tbench.ai/leaderboard/terminal-bench/2.0
2•tosh•18m ago•0 comments

I vibe coded a BBS bank with a real working ledger

https://mini-ledger.exe.xyz/
1•simonvc•18m ago•1 comments

The Path to Mojo 1.0

https://www.modular.com/blog/the-path-to-mojo-1-0
1•tosh•21m ago•0 comments

Show HN: I'm 75, building an OSS Virtual Protest Protocol for digital activism

https://github.com/voice-of-japan/Virtual-Protest-Protocol/blob/main/README.md
4•sakanakana00•24m ago•0 comments

Show HN: I built Divvy to split restaurant bills from a photo

https://divvyai.app/
3•pieterdy•26m ago•0 comments

Hot Reloading in Rust? Subsecond and Dioxus to the Rescue

https://codethoughts.io/posts/2026-02-07-rust-hot-reloading/
3•Tehnix•27m ago•1 comments

Skim – vibe review your PRs

https://github.com/Haizzz/skim
2•haizzz•28m ago•1 comments

Show HN: Open-source AI assistant for interview reasoning

https://github.com/evinjohnn/natively-cluely-ai-assistant
4•Nive11•29m ago•6 comments

Tech Edge: A Living Playbook for America's Technology Long Game

https://csis-website-prod.s3.amazonaws.com/s3fs-public/2026-01/260120_EST_Tech_Edge_0.pdf?Version...
2•hunglee2•32m ago•0 comments

Golden Cross vs. Death Cross: Crypto Trading Guide

https://chartscout.io/golden-cross-vs-death-cross-crypto-trading-guide
3•chartscout•35m ago•0 comments

Hoot: Scheme on WebAssembly

https://www.spritely.institute/hoot/
3•AlexeyBrin•38m ago•0 comments

What the longevity experts don't tell you

https://machielreyneke.com/blog/longevity-lessons/
2•machielrey•39m ago•1 comments

Monzo wrongly denied refunds to fraud and scam victims

https://www.theguardian.com/money/2026/feb/07/monzo-natwest-hsbc-refunds-fraud-scam-fos-ombudsman
3•tablets•44m ago•1 comments

They were drawn to Korea with dreams of K-pop stardom – but then let down

https://www.bbc.com/news/articles/cvgnq9rwyqno
2•breve•46m ago•0 comments

Show HN: AI-Powered Merchant Intelligence

https://nodee.co
1•jjkirsch•49m ago•0 comments

Bash parallel tasks and error handling

https://github.com/themattrix/bash-concurrent
2•pastage•49m ago•0 comments

Let's compile Quake like it's 1997

https://fabiensanglard.net/compile_like_1997/index.html
2•billiob•49m ago•0 comments

Reverse Engineering Medium.com's Editor: How Copy, Paste, and Images Work

https://app.writtte.com/read/gP0H6W5
2•birdculture•55m ago•0 comments
Open in hackernews

The Fraud of Big AI

4•MichealCodes•3mo ago
We're being gaslit. Claude 4.5 Sonnet could write complete patches at launch. Now the context window is so destroyed it can't finish most prompts without truncating. Every major model follows the same pattern: amazing launch, then silent degradation over weeks. OpenAI admitted to changing GPT-4 without disclosure. Anthropic won't even acknowledge it.

They announce every 2% improvement but never mention when they swap in cheaper inference or add output limits. This isn't confirmation bias when the model literally cannot complete tasks it did a month ago. Are we just supposed to accept that the product we're paying for gets worse while the marketing gets louder? How is this not a bait and switch? Either give us API version pinning for the actual model weights or admit you're optimizing for profit over capability.

Comments

zerosizedweasle•3mo ago
I would just put it this way, whenever I get the title is x "characters too long" I ask ChatGPT to shorten the text so that is x characters shorter or less. And it can never do it in less 5 iterations. It's a pretty straightforward request.