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Account Deactivated Due to Biological Research

https://www.reddit.com/r/OpenAI/comments/1wd5kpp/account_deactivated_due_to_biological_research/
1•bithammerthunde•1m ago•0 comments

Show HN: VideoHighlighter – offline self-hosted video analyzer

https://github.com/Aseiel/VideoHighlighter
2•Aseiel•3m ago•0 comments

Why is a Nix rollback just a symlink flip?

https://www.labcraft.dev/blog/nix-profiles-generations
2•anandsuresh•7m ago•0 comments

Veilid for Everyone

https://veilid.com/why-use-veilid/
2•Bluestein•9m ago•0 comments

Interpreting Pangram

https://lucumr.pocoo.org/2026/9/14/interpreting-pangram/
2•swah•11m ago•0 comments

Autopoietic Ethics Constitution

https://www.guidavid.com/writing/autopoietic-ethics-constitution.txt
2•gdss•12m ago•0 comments

Personal Statement on AI Risk (Daniel Selsam, OpenAI capabilities)

https://docs.google.com/document/d/e/2PACX-1vQNl3SEX5IyA6d9qHjjFZN-qzGRZNFI6b63g-yu1Fy-ZYkVfCWm7i...
2•yurivish•12m ago•0 comments

Charts Built for Chat

https://dbtcharts.com/blog/charts-built-for-chat/
3•thingsilearned•13m ago•1 comments

One Android app. Why so many processes?

https://returnzero.dev/articles/one-android-app-why-so-many-processes
2•theanonymousone•13m ago•0 comments

Land Is Scarce, Just Burn Your Trash

https://www.governance.fyi/p/land-is-scarce-just-burn-your-trash
2•guardianbob•13m ago•0 comments

Tell HN: iOS 27 does not allow Apple Intelligence to be disabled

5•nunez•14m ago•0 comments

Echo: A shader editor shader editor

https://echo.hughsk.io/docs/reference
2•hughsk•15m ago•0 comments

Show HN: DevRecap – reconstruct what you worked on from Codex and Git

https://github.com/jquinteiroo/devrecap
3•jquint•16m ago•0 comments

O Empire Ward Off Thy Rot [video]

https://www.youtube.com/watch?v=ehPDch6mAFw
2•pusewicz•16m ago•0 comments

Nobody's safe from misaligned AI-not even the people building it

2•causal-alignmen•17m ago•0 comments

Not the Glue They Thought It Was

https://www.science.org/content/blog-post/not-glue-they-thought-it-was
1•EA-3167•19m ago•0 comments

Mark Zuckerberg: A profile of history's largest non-territorial empire

https://colossus.com/article/mark-zuckerberg-profile/
1•IshanMi•19m ago•0 comments

DeepSeek Is Down

https://openrouter.ai/deepseek/deepseek-v4.1-flash
2•dofi4ka•20m ago•0 comments

Why Beyond Vanilla RAG?

https://chandula7.gumroad.com/l/AgenticRAGFundamentals
3•lokizzz•20m ago•1 comments

A Single Firm Is Behind OpenAI, Anthropic, and Meta Hacking Scandals

https://www.effort.news/irregular
5•yusufozkan•20m ago•0 comments

Ollama 0.33.3 changed what prompt_eval_duration measures

https://lognebudo.github.io/llmxray/docs/en/articles/ollama-prefill-metrics.html
1•lognebudo•21m ago•0 comments

Fathom (YC W21) is being acquired by Superhuman

https://www.fathom.ai/superhuman
1•jorts•23m ago•1 comments

Personal Statement on AI Risk

https://docs.google.com/document/u/0/d/e/2PACX-1vQNl3SEX5IyA6d9qHjjFZN-qzGRZNFI6b63g-yu1Fy-ZYkVfC...
1•mellosouls•23m ago•1 comments

California lawmakers urge criminal penalties emergency legislation to rein in AI

https://www.latimes.com/california/story/2026-09-13/rogue-ai-concerns-prompt-ca-lawmakers-to-dema...
1•1vuio0pswjnm7•24m ago•0 comments

SWE-Bench Multimodal: Do AI Systems Generalize to Visual Software Domains?

https://www.swebench.com/multimodal.html
1•matt_d•26m ago•0 comments

New EU Repair Rules [video]

https://www.youtube.com/watch?v=N66XA9UwaRA
1•franczesko•27m ago•0 comments

A Generalizable Light Transport 3D Embedding for Global Illumination

https://dl.acm.org/doi/full/10.1145/3799902.3811095
1•ibobev•29m ago•0 comments

RoofLang: Enabling AI-Driven Architecting of LLM Inference Systems

https://arxiv.org/abs/2609.12551
2•matt_d•29m ago•0 comments

DLSS 5: Generative Neural Rendering

https://research.nvidia.com/labs/adlr/DLSS5/
1•ibobev•29m ago•0 comments

Amazon vs Perplexity – U.S. Court of Appeals for the Ninth Circuit

https://law.justia.com/cases/federal/appellate-courts/ca9/26-1444/26-1444-2026-08-04.html
70•neom•30m ago•46 comments
Open in hackernews

Tiny League – compare small LLMs easily

https://tinyleague.nunodonato.com/
2•nunodonato•47m ago

Comments

nunodonato•47m ago
Hi folks! I love running local small models, but it's quite annoying to attempt to compare them using benchmarks. Not only are they scattered around, they often don't even share the same ones.

So I built Tiny League for those of use who care about small models. By small, I'm aiming at 3-200B, which is a range that I consider both capable and able to run at home (for those who have unified memory like mac, strix or spark)

I'm limiting the model list to models released after April and excluding models that are trained for specific use-cases.

Appreciate all sorts of feedback :)

networked•23m ago
I like the idea. Here is my feedback.

1. Bug: checking "Only MoE models" empties the list.

2. I'd like to see the number of active parameters for MoE models. You could make it a parenthetical in the parameters column.

3. Practical RAM/VRAM requirements would be valuable. For example, see this thread about K2 Horizon: https://old.reddit.com/r/LocalLLaMA/comments/1wg4a0u/k2_hori.... It is important information and not obvious from the size.

The next level of time and effort would be to benchmark the models yourself. I interested in AMD64 CPU benchmarks, but that's probably niche and there will be more interest in benchmarks on a modest GPU. The most common amount of VRAM on Steam (https://store.steampowered.com/hwsurvey/Steam-Hardware-Softw...) is 16G VRAM, followed closely by 8G.