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Patches Provide for Faster In-Kernel ZSTD Due to Embarrassingly Bad Inefficiency

https://www.phoronix.com/news/In-Kernel-Zstd-BMI2-Probing
1•pella•16s ago•0 comments

Technical Writing Style Guide

https://pve.proxmox.com/wiki/Technical_Writing_Style_Guide
1•csmantle•3m ago•0 comments

Show HN: Ask a Monk

https://askamonk.online
1•13613288957•5m ago•0 comments

Show HN: Apache DataFusion Support for DuckDB's DuckLake

https://ducklake.select/2026/07/29/bringing-ducklake-to-datafusion/
1•eddietejeda•5m ago•0 comments

Kusama Yayoi Dies at 97

https://news.jp/i/1465528042000662661
3•phantomathkg•7m ago•1 comments

Turtle: A From-Scratch Browser Rendering Engine in Zig

1•coolwulf•8m ago•1 comments

Show HN: Browser automation with no chromedriver and no Node driver

https://github.com/angeldevmobile/Orion
1•usxr1515•9m ago•0 comments

Why Bar LCD Displays Are Interesting for Retail Display Design

https://duobond-display.com/news/custom-displays/528.html
1•Todorov•13m ago•0 comments

Google Search Rolling Out Google.com/Goto Tracking Parameters

https://www.seroundtable.com/google-search-goto-tracking-41957.html
1•carnevalem•15m ago•0 comments

Spontaneously charged water drops induce corrosion

https://www.nature.com/articles/s41586-026-10941-6
1•telotortium•19m ago•0 comments

AI agents meant to replace Meta workers made "large-scale, disruptive actions"

https://arstechnica.com/ai/2026/08/metas-scrapped-plans-to-go-ai-native-included-slashing-teams-b...
2•wrxd•21m ago•1 comments

Reading Is Not Using: Retrieval, Judgment, and AI Financial Research

https://arxiv.org/abs/2608.24842
1•sbulaev•21m ago•0 comments

What If the M5 Max Could Generate 650 Tokens per Second?

https://ben3d.ca/blog/what-if-macbook-used-lpddr5x-pim
1•bhouston•22m ago•0 comments

Meta^N: Recursive Self-Improvement Through Emergent Depth

https://github.com/minnesotanlp/meta-n
1•pella•24m ago•0 comments

Docs-Reference: A Common Lisp RAG System for Local Models

https://github.com/skarnati20/docs-reference
2•skarnati20•24m ago•1 comments

God's Eye View: A spy-satellite simulator in the browser

https://github.com/bilawalsidhu/gods-eye-view
3•pella•26m ago•0 comments

Show HN: SPC World – a daily jigsaw with no account and a permanent archive

https://spcworld.world/play
1•faucetl•27m ago•0 comments

Apple Silicon's Surprisingly Speedy SIMD

https://twitter.com/zooko/status/2092738300314267962
4•markdog12•28m ago•0 comments

AI Lessons from Driving 200M Autonomous Miles

https://waymo.com/blog/2026/08/10ailessons/
1•cjcenizal•32m ago•0 comments

Getting video models to learn better, faster

https://www.linum.ai/field-notes/data-filtering-gen-video
3•schopra909•35m ago•0 comments

Guinea 2008 MNH, Alan Kay American computer scientist: $1.48 or best offer

https://www.ebay.com/itm/298608514190?_skw=alan+kay&itmmeta=01M10EG29J6EAE7SSGBK86P1QE&hash=item4...
1•da02•37m ago•0 comments

Laion Big Video Dataset

https://projects.laion.ai/bvd/
4•ks2048•38m ago•0 comments

Leger_OS – Personal finance mainframe with paycheck cycle burn modeling

https://github.com/tiago-quinha/LEGER_OS
1•Quinha•39m ago•0 comments

Show HN: Agenteam – Agents that live on your desktop

https://agenteam.org/
1•timqian•40m ago•0 comments

Show HN: Tokwhois – 14 probes to name the tokenizer family

https://github.com/fasuizu-br/tokwhois
1•fabiosuizu•40m ago•0 comments

Loro, make your JSON data collaborative and version-controlled with CRDTs

https://github.com/loro-dev/loro
1•jinqueeny•41m ago•0 comments

CEO fired developers to make room for AI. Developers create open source AI CEO

https://github.com/SenteLabsAI/OpenExecutive
24•GrumpySciGuy•42m ago•7 comments

Show HN: ABBS – Public Agent Bulletin Board System

https://abbs.dev/
1•devstein•43m ago•0 comments

How I design with AI as an engineer who is not a designer and hates slop

https://ref.tools/blog/how-i-design-with-ai
1•reactiverobot•51m ago•0 comments

Anthropic and Nscale strike $45B cloud deal, sources say

https://www.cnbc.com/2026/08/26/anthropic-and-nscale-strike-45-billion-cloud-deal-sources-say.html
1•geoffbp•58m ago•0 comments
Open in hackernews

S1: In-Context Learning for Robotics

https://skild.ai/blogs/s1
2•epsteingpt•1h ago

Comments

epsteingpt•1h ago
Robotics data remains scarce and expensive, leaving many important tasks outside the pre-training distribution. Out-of-distribution ICL is therefore essential for general-purpose robot policies. S1 ICL can drive ultimate success in novel tasks 2/3rds of the time.