frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

fp.

Show HN: Seedance 2.0 – The Most Powerful AI Video Generator

https://seedance.ai/
1•bigbromaker•46s ago•0 comments

Ask HN: Do we need "metadata in source code" syntax that LLMs will never delete?

1•andrewstuart•6m ago•1 comments

Pentagon cutting ties w/ "woke" Harvard, ending military training & fellowships

https://www.cbsnews.com/news/pentagon-says-its-cutting-ties-with-woke-harvard-discontinuing-milit...
2•alephnerd•9m ago•1 comments

Can Quantum-Mechanical Description of Physical Reality Be Considered Complete? [pdf]

https://cds.cern.ch/record/405662/files/PhysRev.47.777.pdf
1•northlondoner•9m ago•1 comments

Kessler Syndrome Has Started [video]

https://www.tiktok.com/@cjtrowbridge/video/7602634355160206623
1•pbradv•12m ago•0 comments

Complex Heterodynes Explained

https://tomverbeure.github.io/2026/02/07/Complex-Heterodyne.html
3•hasheddan•12m ago•0 comments

EVs Are a Failed Experiment

https://spectator.org/evs-are-a-failed-experiment/
2•ArtemZ•24m ago•4 comments

MemAlign: Building Better LLM Judges from Human Feedback with Scalable Memory

https://www.databricks.com/blog/memalign-building-better-llm-judges-human-feedback-scalable-memory
1•superchink•25m ago•0 comments

CCC (Claude's C Compiler) on Compiler Explorer

https://godbolt.org/z/asjc13sa6
2•LiamPowell•27m ago•0 comments

Homeland Security Spying on Reddit Users

https://www.kenklippenstein.com/p/homeland-security-spies-on-reddit
3•duxup•29m ago•0 comments

Actors with Tokio (2021)

https://ryhl.io/blog/actors-with-tokio/
1•vinhnx•31m ago•0 comments

Can graph neural networks for biology realistically run on edge devices?

https://doi.org/10.21203/rs.3.rs-8645211/v1
1•swapinvidya•43m ago•1 comments

Deeper into the shareing of one air conditioner for 2 rooms

1•ozzysnaps•45m ago•0 comments

Weatherman introduces fruit-based authentication system to combat deep fakes

https://www.youtube.com/watch?v=5HVbZwJ9gPE
3•savrajsingh•46m ago•0 comments

Why Embedded Models Must Hallucinate: A Boundary Theory (RCC)

http://www.effacermonexistence.com/rcc-hn-1-1
1•formerOpenAI•47m ago•2 comments

A Curated List of ML System Design Case Studies

https://github.com/Engineer1999/A-Curated-List-of-ML-System-Design-Case-Studies
3•tejonutella•51m ago•0 comments

Pony Alpha: New free 200K context model for coding, reasoning and roleplay

https://ponyalpha.pro
1•qzcanoe•56m ago•1 comments

Show HN: Tunbot – Discord bot for temporary Cloudflare tunnels behind CGNAT

https://github.com/Goofygiraffe06/tunbot
2•g1raffe•58m ago•0 comments

Open Problems in Mechanistic Interpretability

https://arxiv.org/abs/2501.16496
2•vinhnx•1h ago•0 comments

Bye Bye Humanity: The Potential AMOC Collapse

https://thatjoescott.com/2026/02/03/bye-bye-humanity-the-potential-amoc-collapse/
3•rolph•1h ago•0 comments

Dexter: Claude-Code-Style Agent for Financial Statements and Valuation

https://github.com/virattt/dexter
1•Lwrless•1h ago•0 comments

Digital Iris [video]

https://www.youtube.com/watch?v=Kg_2MAgS_pE
1•vermilingua•1h ago•0 comments

Essential CDN: The CDN that lets you do more than JavaScript

https://essentialcdn.fluidity.workers.dev/
1•telui•1h ago•1 comments

They Hijacked Our Tech [video]

https://www.youtube.com/watch?v=-nJM5HvnT5k
2•cedel2k1•1h ago•0 comments

Vouch

https://twitter.com/mitchellh/status/2020252149117313349
39•chwtutha•1h ago•6 comments

HRL Labs in Malibu laying off 1/3 of their workforce

https://www.dailynews.com/2026/02/06/hrl-labs-cuts-376-jobs-in-malibu-after-losing-government-work/
4•osnium123•1h ago•1 comments

Show HN: High-performance bidirectional list for React, React Native, and Vue

https://suhaotian.github.io/broad-infinite-list/
2•jeremy_su•1h ago•0 comments

Show HN: I built a Mac screen recorder Recap.Studio

https://recap.studio/
1•fx31xo•1h ago•1 comments

Ask HN: Codex 5.3 broke toolcalls? Opus 4.6 ignores instructions?

1•kachapopopow•1h ago•0 comments

Vectors and HNSW for Dummies

https://anvitra.ai/blog/vectors-and-hnsw/
1•melvinodsa•1h ago•0 comments
Open in hackernews

I Trained a Small Language Model from Scratch

https://nwosunneoma.medium.com/how-i-trained-a-small-language-model-from-scratch-8af167479d1a
8•Ada-Ihueze•4mo ago

Comments

theamk•4mo ago
So, where is evaluation? How often are the answers nonsensical? What fraction of common customer questions can it answer? How does LLM conpare on that?

Without those answerw, the article is meaningless.

4b11b4•4mo ago
smells
jacknews•4mo ago
The title in the article is 'How I trained...' yet there is no explanation of how it was done, just that it was.