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Software Engineering Is Back

https://blog.alaindichiappari.dev/p/software-engineering-is-back
1•alainrk•19s ago•0 comments

Storyship: Turn Screen Recordings into Professional Demos

https://storyship.app/
1•JohnsonZou6523•47s ago•0 comments

Reputation Scores for GitHub Accounts

https://shkspr.mobi/blog/2026/02/reputation-scores-for-github-accounts/
1•edent•4m ago•0 comments

A BSOD for All Seasons – Send Bad News via a Kernel Panic

https://bsod-fas.pages.dev/
1•keepamovin•7m ago•0 comments

Show HN: I got tired of copy-pasting between Claude windows, so I built Orcha

https://orcha.nl
1•buildingwdavid•7m ago•0 comments

Omarchy First Impressions

https://brianlovin.com/writing/omarchy-first-impressions-CEEstJk
1•tosh•13m ago•0 comments

Reinforcement Learning from Human Feedback

https://arxiv.org/abs/2504.12501
2•onurkanbkrc•13m ago•0 comments

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

https://github.com/Concode0/Versor
1•concode0•14m ago•1 comments

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

https://medresearch-ai.org/hypotheses-hub/
1•panossk•17m ago•0 comments

Big Tech vs. OpenClaw

https://www.jakequist.com/thoughts/big-tech-vs-openclaw/
1•headalgorithm•20m ago•0 comments

Anofox Forecast

https://anofox.com/docs/forecast/
1•marklit•20m ago•0 comments

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

1•doodledood•20m ago•0 comments

Motus: A Unified Latent Action World Model

https://arxiv.org/abs/2512.13030
1•mnming•20m 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•22m ago•2 comments

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

https://www.science.org/doi/10.1126/scisignal.adv0660
1•thunderbong•24m ago•0 comments

Los Alamos Primer

https://blog.szczepan.org/blog/los-alamos-primer/
1•alkyon•26m ago•0 comments

NewASM Virtual Machine

https://github.com/bracesoftware/newasm
2•DEntisT_•28m ago•0 comments

Terminal-Bench 2.0 Leaderboard

https://www.tbench.ai/leaderboard/terminal-bench/2.0
2•tosh•29m ago•0 comments

I vibe coded a BBS bank with a real working ledger

https://mini-ledger.exe.xyz/
1•simonvc•29m ago•1 comments

The Path to Mojo 1.0

https://www.modular.com/blog/the-path-to-mojo-1-0
1•tosh•32m 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
5•sakanakana00•35m ago•1 comments

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

https://divvyai.app/
3•pieterdy•37m 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•38m ago•1 comments

Skim – vibe review your PRs

https://github.com/Haizzz/skim
2•haizzz•39m ago•1 comments

Show HN: Open-source AI assistant for interview reasoning

https://github.com/evinjohnn/natively-cluely-ai-assistant
4•Nive11•40m 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•43m ago•0 comments

Golden Cross vs. Death Cross: Crypto Trading Guide

https://chartscout.io/golden-cross-vs-death-cross-crypto-trading-guide
3•chartscout•46m ago•1 comments

Hoot: Scheme on WebAssembly

https://www.spritely.institute/hoot/
3•AlexeyBrin•49m ago•0 comments

What the longevity experts don't tell you

https://machielreyneke.com/blog/longevity-lessons/
2•machielrey•50m 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•55m ago•1 comments
Open in hackernews

Ask HN: Relatively SoTA LLM Agents from Scratch?

4•solsane•1mo ago
As we know, OpenAI is not so open.

In 2023, I was playing with transformers, RNNs and I had an understanding how it worked from top to bottom (e.g. made my own keras, could whiteboard small nets) and I can throw things together in keras or tf pretty quick

I got a job and never touched that again. Data and compute notwithstanding, how hard would it be to make a pet project foundation model using the latest techniques? I’ve heard about MoE, things like that and I figure we’re not just throwing a bunch of layers and dropout in Keras anymore.

Comments

huevosabio•1mo ago
The Olmo team is AFAIK the only SOTA-ish model that has fully open source code and data. Their report is fantastic: https://www.datocms-assets.com/64837/1763662397-1763646865-o...

It should give you an idea of how hard it is to do a SOTA model from scratch!

If you relax the SOTA aspect, Karpathy's nanochat has you covered: https://github.com/karpathy/nanochat

walpurginacht•1mo ago
I'd suggest you take a read on HuggingFace's writeup when they trained smolLM3

https://huggingface.co/spaces/HuggingFaceTB/smol-training-pl...

rare detailed insight on the entire process

bjourne•1mo ago
Read this article: https://dl.acm.org/doi/10.1145/3712285.3759827 Training algorithms are relatively simple (base training, fine-tuning, RL), but the scale is critical. I.e., the engineering infrastructure. The authors recommend a 128 GPU cluster minimum and many petabytes of training data.